diff --git a/CHANGELOG.md b/CHANGELOG.md index fca4653e..103b3098 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,6 +14,8 @@ and this project adheres to [Semantic Versioning](http://semver.org/). - Internal metadata to store Honcho's state no longer exposed in API - Batch message operations and enhanced message querying with token and message count limits - Search and summary functionalities scoped by workspace, peer, and session +- Ability to search message histories using semantic search with cosine + similarity - Session context retrieval with summaries and token allocation - HNSW Index for Documents Table - Centralized Configuration via Environment Variables or `config.toml` file @@ -36,6 +38,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/). - Queue processing now works on 'work units' instead of sessions - Message token counting updated with tiktoken integration and fallback heuristic - Queue and message processing updated to handle sender/target and task types for multi-peer scenarios +- Resource filtering expanded to include logical operators ### Fixed diff --git a/README.md b/README.md index b6b81066..58e11391 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,13 @@ # 🫡 Honcho -![Static Badge](https://img.shields.io/badge/Version-2.0.1-blue) +![Static Badge](https://img.shields.io/badge/Version-2.0.0-blue) [![Discord](https://img.shields.io/discord/1016845111637839922?style=flat&logo=discord&logoColor=23ffffff&label=Plastic%20Labs&labelColor=235865F2)](https://discord.gg/plasticlabs) [![arXiv](https://img.shields.io/badge/arXiv-2310.06983-b31b1b.svg)](https://arxiv.org/abs/2310.06983) ![GitHub License](https://img.shields.io/github/license/plastic-labs/honcho) ![GitHub Repo stars](https://img.shields.io/github/stars/plastic-labs/honcho) [![X (formerly Twitter) URL](https://img.shields.io/twitter/url?url=https%3A%2F%2Ftwitter.com%2Fplastic_labs)](https://twitter.com/plastic_labs) [![PyPI version](https://img.shields.io/pypi/v/honcho-ai.svg)](https://pypi.org/project/honcho-ai/) -[![NPM version](https://img.shields.io/npm/v/honcho-ai.svg)](https://npmjs.org/package/honcho-ai) +[![NPM version](https://img.shields.io/npm/v/@honcho-ai/sdk.svg)](https://npmjs.org/package/@honcho-ai/sdk) Honcho is an infrastructure layer for building AI agents with social cognition and theory-of-mind capabilities. It enables developers to create AI agents and LLM-powered applications that are personalized to their end users by leveraging the inherent theory-of-mind capabilities of LLMs to build coherent models of user psychology over time. @@ -41,13 +41,26 @@ The Honcho project is split between several repositories with this one hosting the core service logic. This is implemented as a FastAPI server/API to store data about an application's state. -There are also client-sdks that are created using -[Stainless](https://www.stainlessapi.com/). Currently, there is a [Python](https://github.com/plastic-labs/honcho-python) and -[TypeScript/JavaScript](https://github.com/plastic-labs/honcho-node) SDK available. +There are also client sdks in implemented in the `sdks/` directory with support +for Python and TypeScript. These SDKs wrap core SDKs that are generated using +[Stainless](https://www.stainlessapi.com/). -Examples on how to use the SDK are located within each SDK repository. There is -also SDK example usage available in the [API Reference](https://docs.honcho.dev/api-reference/introduction) -along with various guides. +- [Python](https://pypi.org/project/honcho-ai/) +- [TypeScript](https://www.npmjs.com/package/@honcho-ai/sdk) + +We recommend using the official client SDKs instead of the core ones for better +developer experience, however for any custom use cases you can still access the +core SDKs in their own repos: + +[Honcho Core Python](https://github.com/plastic-labs/honcho-python-core) +[Honcho Core TypeScript](https://github.com/plastic-labs/honcho-node-core) + +Examples on how to use the SDK are located within each SDK folder and in the +[SDK Reference](https://docs.honcho.dev/v2/documentation/tutorial/SDK) + +There are also documented examples of how to use the core SDKs in the +[API Reference](https://docs.honcho.dev/api-reference/introduction) section of +the documentation. ## Usage diff --git a/docs/changelog/compatibility-guide.mdx b/docs/changelog/compatibility-guide.mdx new file mode 100644 index 00000000..5a7455c6 --- /dev/null +++ b/docs/changelog/compatibility-guide.mdx @@ -0,0 +1,37 @@ +--- +title: "SDK and API Compatibility Guide" +description: "Compatibility guide for Honcho's SDKs and API" +icon: "shield-check" +--- + +This guide helps you understand which versions of Honcho's API are compatible with which SDK versions. + +## Version Compatibility + +### Honcho API v2.0.0 (Current) + + + + **Compatible Version:** v1.0.2 + + Install with: + ```bash + npm install @honcho-ai/sdk@1.0.2 + ``` + + + + **Compatible Version:** v1.0.2 + + Install with: + ```bash + pip install honcho-ai==1.0.2 + ``` + + + +## Version Compatibility Table + +| Honcho API Version | TypeScript SDK | Python SDK | Notes | +|-------------------|---------------|------------|-------| +| v2.0.0 (Current) | v1.0.2 | v1.0.2 | Full compatibility with new peer architecture | \ No newline at end of file diff --git a/docs/changelog/introduction.mdx b/docs/changelog/introduction.mdx new file mode 100644 index 00000000..d25fc9a6 --- /dev/null +++ b/docs/changelog/introduction.mdx @@ -0,0 +1,142 @@ +--- +title: "Changelog" +icon: "clock-rotate-left" +--- + +Welcome to the Honcho changelog! This section documents all notable changes to the Honcho API and SDKs. + + + + Each release is documented with: + + - **Added**: New features and capabilities + - **Changed**: Modifications to existing functionality + - **Deprecated**: Features that will be removed in future versions + - **Removed**: Features that have been removed + - **Fixed**: Bug fixes and corrections + - **Security**: Security-related improvements + + ## Version Format + + Honcho follows [Semantic Versioning](https://semver.org/): + - **MAJOR** version for incompatible API changes + - **MINOR** version for backwards-compatible functionality additions + - **PATCH** version for backwards-compatible bug fixes + + +### Honcho API and SDK Changelogs + + + + ### Added + + - Ability to get a peer's working representation + - Metadata to all data primitives (Workspaces, Peers, Sessions, Messages) + - Internal metadata to store Honcho's state no longer exposed in API + - Batch message operations and enhanced message querying with token and message count limits + - Search and summary functionalities scoped by workspace, peer, and session + - Ability to search message histories using semantic search with cosine + similarity + - Session context retrieval with summaries and token allocatio + - HNSW Index for Documents Table + - Centralized Configuration via Environment Variables or config.toml file + + ### Changed + + - New architecture centered around the concept of a "peer" replaces the former + "app"/"user"/"session" paradigm + - Workspaces replace "apps" as top-level namespace + - Peers replace "users" + - Sessions no longer nested beneath peers and no longer limited to a single + user-assistant model. A session exists independently of any one peer and + peers can be added to and removed from sessions. + - Dialectic API is now part of the Peer, not the Session + - Dialectic API now allows queries to be scoped to a session or "targeted" + to a fellow peer + - Database schema migrated to adopt workspace/peer/session naming and structure + - Authentication and JWT scopes updated to workspace/peer/session hierarchy + - Queue processing now works on 'work units' instead of sessions + - Message token counting updated with tiktoken integration and fallback heuristic + - Queue and message processing updated to handle sender/target and task types for multi-peer scenarios + - Resource filtering expanded to include logical operators + + ### Fixed + + - Improved error handling and validation for batch message operations and metadata + - Database Sessions to be more atomic to reduce idle in transaction time + + ### Removed + + - Metamessages removed in favor of metadata + - Collections and Documents no longer exposed in the API, solely internal + - Obsolete tests for apps, users, collections, documents, and metamessages + --- + + + + ### Added + + - Normalize resources to remove joins and increase query performance + - Query tracing for debugging + + ### Changed + + - `/list` endpoints to not require a request body + - `metamessage_type` to `label` with backwards compatability + - Database Provisioning to rely on alembic + - Database Session Manager to explicitly rollback transactions before closing + the connection + + ### Fixed + + - Alembic Migrations to include initial database migrations + - Sentry Middleware to not report Honcho Exceptions + + + + ### Added + + - JWT based API authentication + - Configurable logging + - Consolidated LLM Inference via `ModelClient` class + - Dynamic logging configurable via environment variables + + ### Changed + + - Deriver & Dialectic API to use Hybrid Memory Architecture + - Metamessages are not strictly tied to a message + - Database provisioning is a separate script instead of happening on startup + - Consolidated `session/chat` and `session/chat/stream` endpoints + + + ## Previous Releases + + For a complete history of all releases, see our [GitHub Releases](https://github.com/plastic-labs/honcho/tags) page. + + + + [Python SDK](https://pypi.org/project/honcho-ai/) + + ### Fixed + + - Properly handle AsyncClient + + + + + [TypeScript SDK](https://www.npmjs.com/package/@honcho-ai/sdk) + + ### Fixed + + - Create default workspace on Honcho client instantiation + - Simplified Honcho client import path + + + + +## Getting Help + +If you encounter issues using the Honcho API or its SDKs: + +1. Open an issue on [GitHub](https://github.com/plastic-labs/honcho/issues) +2. 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"apiKey": "phc_1yrzzcgywqXGcerkkI4g7C0YfyPMcAKNOOvGcjTCiUk" - } - } -} diff --git a/docs/openapi.json b/docs/openapi.json deleted file mode 100644 index 68388796..00000000 --- a/docs/openapi.json +++ /dev/null @@ -1,3475 +0,0 @@ -{ - "openapi": "3.1.0", - "info": { - "title": "Honcho API", - "summary": "The Identity Layer for the Agentic World", - "description": "Honcho is a platform for giving agents user-centric memory and social cognition", - "contact": { - "name": "Plastic Labs", - "url": "https://honcho.dev/", - "email": "hello@plasticlabs.ai" - }, - "license": { - "name": "GNU Affero General Public License v3.0", - "identifier": "AGPL-3.0-only", - "url": "https://github.com/plastic-labs/honcho/blob/main/LICENSE" - }, - "version": "2.0.0" - }, - "servers": [ - { - "url": "http://localhost:8000", - "description": "Local Development Server" - }, - { - "url": "https://demo.honcho.dev", - "description": "Demo Server" - }, - { - "url": "https://api.honcho.dev", - "description": "Production SaaS Platform" - } - ], - "paths": { - "/v2/workspaces": { - "post": { - "tags": [ - "workspaces" - ], - "summary": "Get Or Create Workspace", - "description": "Get a Workspace by ID.\n\nIf workspace_id is provided as a query parameter, it uses that (must match JWT workspace_id).\nOtherwise, it uses the workspace_id from the JWT token.", - "operationId": "get_or_create_workspace_v2_workspaces_post", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/WorkspaceCreate", - "description": "Workspace creation parameters" - } - } - }, - "required": true - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Workspace" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - }, - "security": [ - { - "HTTPBearer": [] - }, - {} - ] - } - }, - "/v2/workspaces/list": { - "post": { - "tags": [ - "workspaces" - ], - "summary": "Get All Workspaces", - "description": "Get all Workspaces", - "operationId": "get_all_workspaces_v2_workspaces_list_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "anyOf": [ - { - "$ref": "#/components/schemas/WorkspaceGet" - }, - { - "type": "null" - } - ], - "description": "Filtering and pagination options for the workspaces list", - "title": "Options" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Workspace_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}": { - "put": { - "tags": [ - "workspaces" - ], - "summary": "Update Workspace", - "description": "Update a Workspace", - "operationId": "update_workspace_v2_workspaces__workspace_id__put", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace to update", - "title": "Workspace Id" - }, - "description": "ID of the workspace to update" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/WorkspaceUpdate", - "description": "Updated workspace parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Workspace" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/search": { - "post": { - "tags": [ - "workspaces" - ], - "summary": "Search Workspace", - "description": "Search a Workspace", - "operationId": "search_workspace_v2_workspaces__workspace_id__search_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace to search", - "title": "Workspace Id" - }, - "description": "ID of the workspace to search" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "string", - "description": "Search query", - "title": "Query" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Message_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/list": { - "post": { - "tags": [ - "peers" - ], - "summary": "Get Peers", - "description": "Get All Peers for a Workspace", - "operationId": "get_peers_v2_workspaces__workspace_id__peers_list_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "anyOf": [ - { - "$ref": "#/components/schemas/PeerGet" - }, - { - "type": "null" - } - ], - "description": "Filtering options for the peers list", - "title": "Options" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Peer_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers": { - "post": { - "tags": [ - "peers" - ], - "summary": "Get Or Create Peer", - "description": "Get a Peer by ID\n\nIf peer_id is provided as a query parameter, it uses that (must match JWT workspace_id).\nOtherwise, it uses the peer_id from the JWT token.", - "operationId": "get_or_create_peer_v2_workspaces__workspace_id__peers_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/PeerCreate", - "description": "Peer creation parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Peer" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}": { - "put": { - "tags": [ - "peers" - ], - "summary": "Update Peer", - "description": "Update a Peer's name and/or metadata", - "operationId": "update_peer_v2_workspaces__workspace_id__peers__peer_id__put", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer to update", - "title": "Peer Id" - }, - "description": "ID of the peer to update" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/PeerUpdate", - "description": "Updated peer parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Peer" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}/sessions": { - "post": { - "tags": [ - "peers" - ], - "summary": "Get Sessions For Peer", - "description": "Get All Sessions for a Peer", - "operationId": "get_sessions_for_peer_v2_workspaces__workspace_id__peers__peer_id__sessions_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "anyOf": [ - { - "$ref": "#/components/schemas/SessionGet" - }, - { - "type": "null" - } - ], - "description": "Filtering options for the sessions list", - "title": "Options" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Session_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}/chat": { - "post": { - "tags": [ - "peers" - ], - "summary": "Chat", - "operationId": "chat_v2_workspaces__workspace_id__peers__peer_id__chat_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/DialecticOptions", - "description": "Dialectic Endpoint Parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Response to a question informed by Honcho's User Representation", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/DialecticResponse" - } - }, - "text/event-stream": {} - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}/messages": { - "post": { - "tags": [ - "peers" - ], - "summary": "Create Messages For Peer", - "description": "Create messages for a peer", - "operationId": "create_messages_for_peer_v2_workspaces__workspace_id__peers__peer_id__messages_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/MessageBatchCreate", - "description": "Batch of messages to create" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Message" - }, - "title": "Response Create Messages For Peer V2 Workspaces Workspace Id Peers Peer Id Messages Post" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}/messages/list": { - "post": { - "tags": [ - "peers" - ], - "summary": "Get Messages For Peer", - "description": "Get all messages for a peer", - "operationId": "get_messages_for_peer_v2_workspaces__workspace_id__peers__peer_id__messages_list_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - }, - { - "name": "reverse", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "boolean" - }, - { - "type": "null" - } - ], - "description": "Whether to reverse the order of results", - "default": false, - "title": "Reverse" - }, - "description": "Whether to reverse the order of results" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "anyOf": [ - { - "$ref": "#/components/schemas/MessageGet" - }, - { - "type": "null" - } - ], - "description": "Filtering options for the messages list", - "title": "Options" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Message_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}/representation": { - "post": { - "tags": [ - "peers" - ], - "summary": "Get Working Representation", - "description": "Get a peer's working representation for a session.\n\nIf a session_id is provided in the body, we get the working representation of the peer in that session.\n\nIn the current implementation, we don't offer representations of `target` so that parameter is ignored.\nFuture releases will allow for this.", - "operationId": "get_working_representation_v2_workspaces__workspace_id__peers__peer_id__representation_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/PeerRepresentationGet", - "description": "Options for getting the peer representation" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "type": "object", - "additionalProperties": true, - "title": "Response Get Working Representation V2 Workspaces Workspace Id Peers Peer Id Representation Post" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/peers/{peer_id}/search": { - "post": { - "tags": [ - "peers" - ], - "summary": "Search Peer", - "description": "Search a Peer", - "operationId": "search_peer_v2_workspaces__workspace_id__peers__peer_id__search_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "string", - "description": "Search query", - "title": "Query" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Message_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions": { - "post": { - "tags": [ - "sessions" - ], - "summary": "Get Or Create Session", - "description": "Get a specific session in a workspace.\n\nIf session_id is provided as a query parameter, it verifies the session is in the workspace.\nOtherwise, it uses the session_id from the JWT token for verification.", - "operationId": "get_or_create_session_v2_workspaces__workspace_id__sessions_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SessionCreate", - "description": "Session creation parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Session" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/list": { - "post": { - "tags": [ - "sessions" - ], - "summary": "Get Sessions", - "description": "Get All Sessions in a Workspace", - "operationId": "get_sessions_v2_workspaces__workspace_id__sessions_list_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "anyOf": [ - { - "$ref": "#/components/schemas/SessionGet" - }, - { - "type": "null" - } - ], - "description": "Filtering and pagination options for the sessions list", - "title": "Options" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Session_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}": { - "put": { - "tags": [ - "sessions" - ], - "summary": "Update Session", - "description": "Update the metadata of a Session", - "operationId": "update_session_v2_workspaces__workspace_id__sessions__session_id__put", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session to update", - "title": "Session Id" - }, - "description": "ID of the session to update" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SessionUpdate", - "description": "Updated session parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Session" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - }, - "delete": { - "tags": [ - "sessions" - ], - "summary": "Delete Session", - "description": "Delete a session by marking it as inactive", - "operationId": "delete_session_v2_workspaces__workspace_id__sessions__session_id__delete", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session to delete", - "title": "Session Id" - }, - "description": "ID of the session to delete" - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": {} - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/clone": { - "get": { - "tags": [ - "sessions" - ], - "summary": "Clone Session", - "description": "Clone a session, optionally up to a specific message", - "operationId": "clone_session_v2_workspaces__workspace_id__sessions__session_id__clone_get", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session to clone", - "title": "Session Id" - }, - "description": "ID of the session to clone" - }, - { - "name": "message_id", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "description": "Message ID to cut off the clone at", - "title": "Message Id" - }, - "description": "Message ID to cut off the clone at" - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Session" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/peers": { - "post": { - "tags": [ - "sessions" - ], - "summary": "Add Peers To Session", - "description": "Add peers to a session", - "operationId": "add_peers_to_session_v2_workspaces__workspace_id__sessions__session_id__peers_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/SessionPeerConfig" - }, - "description": "List of peer IDs to add to the session", - "title": "Peers" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Session" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - }, - "put": { - "tags": [ - "sessions" - ], - "summary": "Set Session Peers", - "description": "Set the peers in a session", - "operationId": "set_session_peers_v2_workspaces__workspace_id__sessions__session_id__peers_put", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/SessionPeerConfig" - }, - "description": "List of peer IDs to set for the session", - "title": "Peers" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Session" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - }, - "delete": { - "tags": [ - "sessions" - ], - "summary": "Remove Peers From Session", - "description": "Remove peers from a session", - "operationId": "remove_peers_from_session_v2_workspaces__workspace_id__sessions__session_id__peers_delete", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List of peer IDs to remove from the session", - "title": "Peers" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Session" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - }, - "get": { - "tags": [ - "sessions" - ], - "summary": "Get Session Peers", - "description": "Get peers from a session", - "operationId": "get_session_peers_v2_workspaces__workspace_id__sessions__session_id__peers_get", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Peer_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config": { - "get": { - "tags": [ - "sessions" - ], - "summary": "Get Peer Config", - "description": "Get the configuration for a peer in a session", - "operationId": "get_peer_config_v2_workspaces__workspace_id__sessions__session_id__peers__peer_id__config_get", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SessionPeerConfig" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - }, - "post": { - "tags": [ - "sessions" - ], - "summary": "Set Peer Config", - "description": "Set the configuration for a peer in a session", - "operationId": "set_peer_config_v2_workspaces__workspace_id__sessions__session_id__peers__peer_id__config_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "peer_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the peer", - "title": "Peer Id" - }, - "description": "ID of the peer" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SessionPeerConfig", - "description": "Peer configuration" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": {} - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/context": { - "get": { - "tags": [ - "sessions" - ], - "summary": "Get Session Context", - "description": "Produce a context object from the session. The caller provides a token limit which the entire context must fit into.\nTo do this, we allocate 40% of the token limit to the summary, and 60% to recent messages -- as many as can fit.\nIf the caller does not want a summary, we allocate all the tokens to recent messages.\nThe default token limit if not provided is 2048. (TODO: make this configurable)", - "operationId": "get_session_context_v2_workspaces__workspace_id__sessions__session_id__context_get", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "tokens", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "null" - } - ], - "description": "Number of tokens to use for the context. Includes summary if set to true", - "title": "Tokens" - }, - "description": "Number of tokens to use for the context. Includes summary if set to true" - }, - { - "name": "summary", - "in": "query", - "required": false, - "schema": { - "type": "boolean", - "description": "Whether to summarize the session history prior to the cutoff message", - "default": false, - "title": "Summary" - }, - "description": "Whether to summarize the session history prior to the cutoff message" - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SessionContext" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/search": { - "post": { - "tags": [ - "sessions" - ], - "summary": "Search Session", - "description": "Search a Session", - "operationId": "search_session_v2_workspaces__workspace_id__sessions__session_id__search_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "string", - "description": "Search query", - "title": "Query" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Message_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/messages/": { - "post": { - "tags": [ - "messages" - ], - "summary": "Create Messages For Session", - "operationId": "create_messages_for_session_v2_workspaces__workspace_id__sessions__session_id__messages__post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/MessageBatchCreate", - "description": "Batch of messages to create" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Message" - }, - "title": "Response Create Messages For Session V2 Workspaces Workspace Id Sessions Session Id Messages Post" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/messages/list": { - "post": { - "tags": [ - "messages" - ], - "summary": "Get Messages", - "description": "Get all messages for a session", - "operationId": "get_messages_v2_workspaces__workspace_id__sessions__session_id__messages_list_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "reverse", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "boolean" - }, - { - "type": "null" - } - ], - "description": "Whether to reverse the order of results", - "default": false, - "title": "Reverse" - }, - "description": "Whether to reverse the order of results" - }, - { - "name": "page", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "minimum": 1, - "description": "Page number", - "default": 1, - "title": "Page" - }, - "description": "Page number" - }, - { - "name": "size", - "in": "query", - "required": false, - "schema": { - "type": "integer", - "maximum": 100, - "minimum": 1, - "description": "Page size", - "default": 50, - "title": "Size" - }, - "description": "Page size" - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "anyOf": [ - { - "$ref": "#/components/schemas/MessageGet" - }, - { - "type": "null" - } - ], - "description": "Filtering options for the messages list", - "title": "Options" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Page_Message_" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id}": { - "get": { - "tags": [ - "messages" - ], - "summary": "Get Message", - "description": "Get a Message by ID", - "operationId": "get_message_v2_workspaces__workspace_id__sessions__session_id__messages__message_id__get", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "message_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the message to retrieve", - "title": "Message Id" - }, - "description": "ID of the message to retrieve" - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Message" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - }, - "put": { - "tags": [ - "messages" - ], - "summary": "Update Message", - "description": "Update the metadata of a Message", - "operationId": "update_message_v2_workspaces__workspace_id__sessions__session_id__messages__message_id__put", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the workspace", - "title": "Workspace Id" - }, - "description": "ID of the workspace" - }, - { - "name": "session_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the session", - "title": "Session Id" - }, - "description": "ID of the session" - }, - { - "name": "message_id", - "in": "path", - "required": true, - "schema": { - "type": "string", - "description": "ID of the message to update", - "title": "Message Id" - }, - "description": "ID of the message to update" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/MessageUpdate", - "description": "Updated message parameters" - } - } - } - }, - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Message" - } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - }, - "/v2/keys": { - "post": { - "tags": [ - "keys" - ], - "summary": "Create Key", - "description": "Create a new Key", - "operationId": "create_key_v2_keys_post", - "security": [ - { - "HTTPBearer": [] - }, - {} - ], - "parameters": [ - { - "name": "workspace_id", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "description": "ID of the workspace to scope the key to", - "title": "Workspace Id" - }, - "description": "ID of the workspace to scope the key to" - }, - { - "name": "peer_id", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "description": "ID of the peer to scope the key to", - "title": "Peer Id" - }, - "description": "ID of the peer to scope the key to" - }, - { - "name": "session_id", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "description": "ID of the session to scope the key to", - "title": "Session Id" - }, - "description": "ID of the session to scope the key to" - }, - { - "name": "expires_at", - "in": "query", - "required": false, - "schema": { - "anyOf": [ - { - "type": "string", - "format": "date-time" - }, - { - "type": "null" - } - ], - "title": "Expires At" - } - } - ], - "responses": { - "200": { - "description": "Successful Response", - "content": { - "application/json": { - "schema": {} - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/HTTPValidationError" - } - } - } - } - } - } - } - }, - "components": { - "schemas": { - "DialecticOptions": { - "properties": { - "session_id": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "title": "Session Id", - "description": "ID of the session to scope the representation to" - }, - "target": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "title": "Target", - "description": "Optional peer to get the representation for, from the perspective of this peer" - }, - "queries": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "type": "string" - }, - "type": "array" - } - ], - "title": "Queries" - }, - "stream": { - "type": "boolean", - "title": "Stream", - "default": false - } - }, - "type": "object", - "required": [ - "queries" - ], - "title": "DialecticOptions" - }, - "DialecticResponse": { - "properties": { - "content": { - "type": "string", - "title": "Content" - } - }, - "type": "object", - "required": [ - "content" - ], - "title": "DialecticResponse" - }, - "HTTPValidationError": { - "properties": { - "detail": { - "items": { - "$ref": "#/components/schemas/ValidationError" - }, - "type": "array", - "title": "Detail" - } - }, - "type": "object", - "title": "HTTPValidationError" - }, - "Message": { - "properties": { - "id": { - "type": "string", - "title": "Id" - }, - "content": { - "type": "string", - "title": "Content" - }, - "peer_id": { - "type": "string", - "title": "Peer Id" - }, - "session_id": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "title": "Session Id" - }, - "metadata": { - "additionalProperties": true, - "type": "object", - "title": "Metadata" - }, - "created_at": { - "type": "string", - "format": "date-time", - "title": "Created At" - }, - "workspace_id": { - "type": "string", - "title": "Workspace Id" - }, - "token_count": { - "type": "integer", - "title": "Token Count" - } - }, - "type": "object", - "required": [ - "id", - "content", - "peer_id", - "session_id", - "created_at", - "workspace_id", - "token_count" - ], - "title": "Message" - }, - "MessageBatchCreate": { - "properties": { - "messages": { - "items": { - "$ref": "#/components/schemas/MessageCreate" - }, - "type": "array", - "maxItems": 100, - "minItems": 1, - "title": "Messages" - } - }, - "type": "object", - "required": [ - "messages" - ], - "title": "MessageBatchCreate", - "description": "Schema for batch message creation with a max of 100 messages" - }, - "MessageCreate": { - "properties": { - "content": { - "type": "string", - "maxLength": 50000, - "minLength": 0, - "title": "Content" - }, - "peer_id": { - "type": "string", - "title": "Peer Id" - }, - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - } - }, - "type": "object", - "required": [ - "content", - "peer_id" - ], - "title": "MessageCreate" - }, - "MessageGet": { - "properties": { - "filter": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Filter" - } - }, - "type": "object", - "title": "MessageGet" - }, - "MessageUpdate": { - "properties": { - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - } - }, - "type": "object", - "title": "MessageUpdate" - }, - "Page_Message_": { - "properties": { - "items": { - "items": { - "$ref": "#/components/schemas/Message" - }, - "type": "array", - "title": "Items" - }, - "total": { - "type": "integer", - "minimum": 0.0, - "title": "Total" - }, - "page": { - "type": "integer", - "minimum": 1.0, - "title": "Page" - }, - "size": { - "type": "integer", - "minimum": 1.0, - "title": "Size" - }, - "pages": { - "type": "integer", - "minimum": 0.0, - "title": "Pages" - } - }, - "type": "object", - "required": [ - "items", - "total", - "page", - "size" - ], - "title": "Page[Message]" - }, - "Page_Peer_": { - "properties": { - "items": { - "items": { - "$ref": "#/components/schemas/Peer" - }, - "type": "array", - "title": "Items" - }, - "total": { - "type": "integer", - "minimum": 0.0, - "title": "Total" - }, - "page": { - "type": "integer", - "minimum": 1.0, - "title": "Page" - }, - "size": { - "type": "integer", - "minimum": 1.0, - "title": "Size" - }, - "pages": { - "type": "integer", - "minimum": 0.0, - "title": "Pages" - } - }, - "type": "object", - "required": [ - "items", - "total", - "page", - "size" - ], - "title": "Page[Peer]" - }, - "Page_Session_": { - "properties": { - "items": { - "items": { - "$ref": "#/components/schemas/Session" - }, - "type": "array", - "title": "Items" - }, - "total": { - "type": "integer", - "minimum": 0.0, - "title": "Total" - }, - "page": { - "type": "integer", - "minimum": 1.0, - "title": "Page" - }, - "size": { - "type": "integer", - "minimum": 1.0, - "title": "Size" - }, - "pages": { - "type": "integer", - "minimum": 0.0, - "title": "Pages" - } - }, - "type": "object", - "required": [ - "items", - "total", - "page", - "size" - ], - "title": "Page[Session]" - }, - "Page_Workspace_": { - "properties": { - "items": { - "items": { - "$ref": "#/components/schemas/Workspace" - }, - "type": "array", - "title": "Items" - }, - "total": { - "type": "integer", - "minimum": 0.0, - "title": "Total" - }, - "page": { - "type": "integer", - "minimum": 1.0, - "title": "Page" - }, - "size": { - "type": "integer", - "minimum": 1.0, - "title": "Size" - }, - "pages": { - "type": "integer", - "minimum": 0.0, - "title": "Pages" - } - }, - "type": "object", - "required": [ - "items", - "total", - "page", - "size" - ], - "title": "Page[Workspace]" - }, - "Peer": { - "properties": { - "id": { - "type": "string", - "title": "Id" - }, - "workspace_id": { - "type": "string", - "title": "Workspace Id" - }, - "created_at": { - "type": "string", - "format": "date-time", - "title": "Created At" - }, - "metadata": { - "additionalProperties": true, - "type": "object", - "title": "Metadata" - }, - "configuration": { - "additionalProperties": true, - "type": "object", - "title": "Configuration" - } - }, - "type": "object", - "required": [ - "id", - "workspace_id", - "created_at" - ], - "title": "Peer" - }, - "PeerCreate": { - "properties": { - "id": { - "type": "string", - "maxLength": 100, - "minLength": 1, - "pattern": "^[a-zA-Z0-9_-]+$", - "title": "Id" - }, - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - }, - "configuration": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Configuration" - } - }, - "type": "object", - "required": [ - "id" - ], - "title": "PeerCreate" - }, - "PeerGet": { - "properties": { - "filter": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Filter" - } - }, - "type": "object", - "title": "PeerGet" - }, - "PeerRepresentationGet": { - "properties": { - "session_id": { - "type": "string", - "title": "Session Id", - "description": "Get the working representation within this session" - }, - "target": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "null" - } - ], - "title": "Target", - "description": "Optional peer ID to get the representation for, from the perspective of this peer" - } - }, - "type": "object", - "required": [ - "session_id" - ], - "title": "PeerRepresentationGet" - }, - "PeerUpdate": { - "properties": { - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - }, - "configuration": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Configuration" - } - }, - "type": "object", - "title": "PeerUpdate" - }, - "Session": { - "properties": { - "id": { - "type": "string", - "title": "Id" - }, - "is_active": { - "type": "boolean", - "title": "Is Active" - }, - "workspace_id": { - "type": "string", - "title": "Workspace Id" - }, - "metadata": { - "additionalProperties": true, - "type": "object", - "title": "Metadata" - }, - "configuration": { - "additionalProperties": true, - "type": "object", - "title": "Configuration" - }, - "created_at": { - "type": "string", - "format": "date-time", - "title": "Created At" - } - }, - "type": "object", - "required": [ - "id", - "is_active", - "workspace_id", - "created_at" - ], - "title": "Session" - }, - "SessionContext": { - "properties": { - "id": { - "type": "string", - "title": "Id" - }, - "messages": { - "items": { - "$ref": "#/components/schemas/Message" - }, - "type": "array", - "title": "Messages" - }, - "summary": { - "type": "string", - "title": "Summary" - } - }, - "type": "object", - "required": [ - "id", - "messages", - "summary" - ], - "title": "SessionContext" - }, - "SessionCreate": { - "properties": { - "id": { - "type": "string", - "maxLength": 100, - "minLength": 1, - "pattern": "^[a-zA-Z0-9_-]+$", - "title": "Id" - }, - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - }, - "peers": { - "anyOf": [ - { - "additionalProperties": { - "$ref": "#/components/schemas/SessionPeerConfig" - }, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Peers" - }, - "configuration": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Configuration" - } - }, - "type": "object", - "required": [ - "id" - ], - "title": "SessionCreate" - }, - "SessionGet": { - "properties": { - "filter": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Filter" - }, - "is_active": { - "type": "boolean", - "title": "Is Active", - "default": false - } - }, - "type": "object", - "title": "SessionGet" - }, - "SessionPeerConfig": { - "properties": { - "observe_others": { - "type": "boolean", - "title": "Observe Others", - "description": "Whether this peer should form a session-level theory-of-mind representation of other peers in the session", - "default": false - }, - "observe_me": { - "anyOf": [ - { - "type": "boolean" - }, - { - "type": "null" - } - ], - "title": "Observe Me", - "description": "Whether other peers in this session should try to form a session-level theory-of-mind representation of this peer" - } - }, - "type": "object", - "title": "SessionPeerConfig" - }, - "SessionUpdate": { - "properties": { - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - }, - "configuration": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Configuration" - } - }, - "type": "object", - "title": "SessionUpdate" - }, - "ValidationError": { - "properties": { - "loc": { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "integer" - } - ] - }, - "type": "array", - "title": "Location" - }, - "msg": { - "type": "string", - "title": "Message" - }, - "type": { - "type": "string", - "title": "Error Type" - } - }, - "type": "object", - "required": [ - "loc", - "msg", - "type" - ], - "title": "ValidationError" - }, - "Workspace": { - "properties": { - "id": { - "type": "string", - "title": "Id" - }, - "metadata": { - "additionalProperties": true, - "type": "object", - "title": "Metadata" - }, - "configuration": { - "additionalProperties": true, - "type": "object", - "title": "Configuration" - }, - "created_at": { - "type": "string", - "format": "date-time", - "title": "Created At" - } - }, - "type": "object", - "required": [ - "id", - "created_at" - ], - "title": "Workspace" - }, - "WorkspaceCreate": { - "properties": { - "id": { - "type": "string", - "maxLength": 100, - "minLength": 1, - "pattern": "^[a-zA-Z0-9_-]+$", - "title": "Id" - }, - "metadata": { - "additionalProperties": true, - "type": "object", - "title": "Metadata", - "default": {} - }, - "configuration": { - "additionalProperties": true, - "type": "object", - "title": "Configuration", - "default": {} - } - }, - "type": "object", - "required": [ - "id" - ], - "title": "WorkspaceCreate" - }, - "WorkspaceGet": { - "properties": { - "filter": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Filter" - } - }, - "type": "object", - "title": "WorkspaceGet" - }, - "WorkspaceUpdate": { - "properties": { - "metadata": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Metadata" - }, - "configuration": { - "anyOf": [ - { - "additionalProperties": true, - "type": "object" - }, - { - "type": "null" - } - ], - "title": "Configuration" - } - }, - "type": "object", - "title": "WorkspaceUpdate" - } - }, - "securitySchemes": { - "HTTPBearer": { - "type": "http", - "scheme": "bearer" - } - } - } -} \ No newline at end of file diff --git a/docs/package.json b/docs/package.json index 48471257..26e53d63 100644 --- a/docs/package.json +++ b/docs/package.json @@ -4,15 +4,18 @@ "description": "## Setting Up `honcho-docs` Locally", "main": ".pnp.js", "scripts": { - "dev": "mintlify dev", + "dev": "mint dev", "openapi": "npx @mintlify/scraping openapi-file openapi.json -o api-reference/endpoint", "test": "echo \"Error: no test specified\" && exit 1" }, "author": "", "license": "ISC", "dependencies": { - "@mintlify/scraping": "^3.0.92", + "@mintlify/scraping": "^3.0.189", "honcho-ai": "^0.0.11", - "mintlify": "^4.0.531" + "mintlify": "^4.1.96" + }, + "devDependencies": { + "mint": "^4.1.96" } } diff --git a/docs/pnpm-lock.yaml b/docs/pnpm-lock.yaml index a4a39220..25c72165 100644 --- a/docs/pnpm-lock.yaml +++ b/docs/pnpm-lock.yaml @@ -9,58 +9,35 @@ importers: .: dependencies: '@mintlify/scraping': - specifier: ^3.0.92 - version: 3.0.92(openapi-types@12.1.3)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + specifier: ^3.0.189 + version: 3.0.189(react-dom@18.3.1(react@18.3.1))(react@18.3.1) honcho-ai: specifier: ^0.0.11 version: 0.0.11 mintlify: - specifier: ^4.0.531 - version: 4.0.531(@types/node@22.15.18)(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + specifier: ^4.1.96 + version: 4.1.96(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + devDependencies: + mint: + specifier: ^4.1.96 + version: 4.1.96(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) packages: - '@apidevtools/json-schema-ref-parser@9.0.6': - resolution: {integrity: sha512-M3YgsLjI0lZxvrpeGVk9Ap032W6TPQkH6pRAZz81Ac3WUNF79VQooAFnp8umjvVzUmD93NkogxEwbSce7qMsUg==} - - '@apidevtools/openapi-schemas@2.1.0': - resolution: {integrity: sha512-Zc1AlqrJlX3SlpupFGpiLi2EbteyP7fXmUOGup6/DnkRgjP9bgMM/ag+n91rsv0U1Gpz0H3VILA/o3bW7Ua6BQ==} - engines: {node: '>=10'} - - '@apidevtools/swagger-methods@3.0.2': - resolution: {integrity: 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sha512-idA2YXwpCdqUSKRCACDE6ItZD9TZzy3OZMtpfLoh6oPR47lipysRrJfjzMqFxQ3uJuUPyUeWe1r9vLH33xO/Qw==} zwitch@2.0.4: resolution: {integrity: sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==} snapshots: - '@apidevtools/json-schema-ref-parser@9.0.6': - dependencies: - '@jsdevtools/ono': 7.1.3 - call-me-maybe: 1.0.2 - js-yaml: 3.14.1 - - '@apidevtools/openapi-schemas@2.1.0': {} - - '@apidevtools/swagger-methods@3.0.2': {} - - '@apidevtools/swagger-parser@10.1.0(openapi-types@12.1.3)': - dependencies: - '@apidevtools/json-schema-ref-parser': 9.0.6 - '@apidevtools/openapi-schemas': 2.1.0 - '@apidevtools/swagger-methods': 3.0.2 - '@jsdevtools/ono': 7.1.3 - ajv: 8.17.1 - ajv-draft-04: 1.0.0(ajv@8.17.1) - call-me-maybe: 1.0.2 - openapi-types: 12.1.3 - '@asyncapi/parser@3.4.0': dependencies: '@asyncapi/specs': 6.8.1 @@ -3598,28 +3312,14 @@ snapshots: dependencies: '@types/json-schema': 7.0.15 - '@babel/code-frame@7.24.7': - dependencies: - '@babel/highlight': 7.24.7 - picocolors: 1.1.0 - '@babel/code-frame@7.27.1': dependencies: '@babel/helper-validator-identifier': 7.27.1 js-tokens: 4.0.0 picocolors: 1.1.1 - '@babel/helper-validator-identifier@7.24.7': {} - '@babel/helper-validator-identifier@7.27.1': {} - '@babel/highlight@7.24.7': - dependencies: - '@babel/helper-validator-identifier': 7.24.7 - chalk: 2.4.2 - js-tokens: 4.0.0 - picocolors: 1.1.0 - '@emnapi/runtime@1.4.3': dependencies: tslib: 2.8.1 @@ -3700,27 +3400,27 @@ snapshots: '@img/sharp-win32-x64@0.33.5': optional: true - '@inquirer/checkbox@4.1.6(@types/node@22.15.18)': + '@inquirer/checkbox@4.1.8(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/figures': 1.0.11 - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/figures': 1.0.12 + '@inquirer/type': 3.0.7(@types/node@24.0.4) ansi-escapes: 4.3.2 yoctocolors-cjs: 2.1.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/confirm@5.1.10(@types/node@22.15.18)': + '@inquirer/confirm@5.1.12(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/core@10.1.11(@types/node@22.15.18)': + '@inquirer/core@10.1.13(@types/node@24.0.4)': dependencies: - '@inquirer/figures': 1.0.11 - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/figures': 1.0.12 + '@inquirer/type': 3.0.7(@types/node@24.0.4) ansi-escapes: 4.3.2 cli-width: 4.1.0 mute-stream: 2.0.0 @@ -3728,95 +3428,93 @@ snapshots: wrap-ansi: 6.2.0 yoctocolors-cjs: 2.1.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/editor@4.2.11(@types/node@22.15.18)': + '@inquirer/editor@4.2.13(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) external-editor: 3.1.0 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/expand@4.0.13(@types/node@22.15.18)': + '@inquirer/expand@4.0.15(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) yoctocolors-cjs: 2.1.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/figures@1.0.11': {} + '@inquirer/figures@1.0.12': {} - '@inquirer/input@4.1.10(@types/node@22.15.18)': + '@inquirer/input@4.1.12(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/number@3.0.13(@types/node@22.15.18)': + '@inquirer/number@3.0.15(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/password@4.0.13(@types/node@22.15.18)': + '@inquirer/password@4.0.15(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) ansi-escapes: 4.3.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/prompts@7.5.1(@types/node@22.15.18)': + '@inquirer/prompts@7.5.3(@types/node@24.0.4)': dependencies: - '@inquirer/checkbox': 4.1.6(@types/node@22.15.18) - '@inquirer/confirm': 5.1.10(@types/node@22.15.18) - '@inquirer/editor': 4.2.11(@types/node@22.15.18) - '@inquirer/expand': 4.0.13(@types/node@22.15.18) - '@inquirer/input': 4.1.10(@types/node@22.15.18) - '@inquirer/number': 3.0.13(@types/node@22.15.18) - '@inquirer/password': 4.0.13(@types/node@22.15.18) - '@inquirer/rawlist': 4.1.1(@types/node@22.15.18) - '@inquirer/search': 3.0.13(@types/node@22.15.18) - '@inquirer/select': 4.2.1(@types/node@22.15.18) + '@inquirer/checkbox': 4.1.8(@types/node@24.0.4) + '@inquirer/confirm': 5.1.12(@types/node@24.0.4) + '@inquirer/editor': 4.2.13(@types/node@24.0.4) + '@inquirer/expand': 4.0.15(@types/node@24.0.4) + '@inquirer/input': 4.1.12(@types/node@24.0.4) + '@inquirer/number': 3.0.15(@types/node@24.0.4) + '@inquirer/password': 4.0.15(@types/node@24.0.4) + '@inquirer/rawlist': 4.1.3(@types/node@24.0.4) + '@inquirer/search': 3.0.15(@types/node@24.0.4) + '@inquirer/select': 4.2.3(@types/node@24.0.4) optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/rawlist@4.1.1(@types/node@22.15.18)': + '@inquirer/rawlist@4.1.3(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) yoctocolors-cjs: 2.1.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/search@3.0.13(@types/node@22.15.18)': + '@inquirer/search@3.0.15(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/figures': 1.0.11 - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/figures': 1.0.12 + '@inquirer/type': 3.0.7(@types/node@24.0.4) yoctocolors-cjs: 2.1.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/select@4.2.1(@types/node@22.15.18)': + '@inquirer/select@4.2.3(@types/node@24.0.4)': dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/figures': 1.0.11 - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/figures': 1.0.12 + '@inquirer/type': 3.0.7(@types/node@24.0.4) ansi-escapes: 4.3.2 yoctocolors-cjs: 2.1.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 - '@inquirer/type@3.0.6(@types/node@22.15.18)': + '@inquirer/type@3.0.7(@types/node@24.0.4)': optionalDependencies: - '@types/node': 22.15.18 - - '@jsdevtools/ono@7.1.3': {} + '@types/node': 24.0.4 '@jsep-plugin/assignment@1.3.0(jsep@1.4.0)': dependencies: @@ -3854,9 +3552,9 @@ snapshots: transitivePeerDependencies: - supports-color - '@mdx-js/mdx@3.1.0(acorn@8.14.1)': + '@mdx-js/mdx@3.1.0(acorn@8.15.0)': dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 '@types/estree-jsx': 1.0.5 '@types/hast': 3.0.4 '@types/mdx': 2.0.13 @@ -3868,7 +3566,7 @@ snapshots: hast-util-to-jsx-runtime: 2.3.6 markdown-extensions: 2.0.0 recma-build-jsx: 1.0.0 - recma-jsx: 1.0.0(acorn@8.14.1) + recma-jsx: 1.0.0(acorn@8.15.0) recma-stringify: 1.0.0 rehype-recma: 1.0.0 remark-mdx: 3.1.0 @@ -3887,29 +3585,30 @@ snapshots: '@mdx-js/react@2.3.0(react@18.3.1)': dependencies: '@types/mdx': 2.0.13 - '@types/react': 18.3.5 + '@types/react': 19.1.8 react: 18.3.1 - '@mdx-js/react@3.1.0(@types/react@18.3.5)(react@18.3.1)': + '@mdx-js/react@3.1.0(@types/react@19.1.8)(react@18.3.1)': dependencies: '@types/mdx': 2.0.13 - '@types/react': 18.3.5 + '@types/react': 19.1.8 react: 18.3.1 - '@mintlify/cli@4.0.529(@types/node@22.15.18)(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/cli@4.0.597(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@mintlify/common': 1.0.374(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/link-rot': 3.0.487(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/models': 0.0.189 - '@mintlify/prebuild': 1.0.484(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/previewing': 4.0.520(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/validation': 0.1.361 + '@mintlify/common': 1.0.428(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/link-rot': 3.0.547(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/models': 0.0.198 + '@mintlify/prebuild': 1.0.543(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/previewing': 4.0.586(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/validation': 0.1.398 chalk: 5.4.1 detect-port: 1.6.1 fs-extra: 11.3.0 - inquirer: 12.6.1(@types/node@22.15.18) + inquirer: 12.6.3(@types/node@24.0.4) js-yaml: 4.1.0 ora: 6.3.1 + semver: 7.7.2 yargs: 17.7.2 transitivePeerDependencies: - '@types/node' @@ -3924,61 +3623,15 @@ snapshots: - typescript - utf-8-validate - '@mintlify/common@1.0.374(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/common@1.0.165(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@asyncapi/parser': 3.4.0 - '@mintlify/mdx': 1.0.1(@types/react@18.3.5)(acorn@8.14.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/models': 0.0.189 - '@mintlify/openapi-parser': 0.0.7 - '@mintlify/validation': 0.1.361 + '@mintlify/mdx': 0.0.49(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/models': 0.0.137 + '@mintlify/openapi-parser': 0.0.0 + '@mintlify/validation': 0.1.206 '@sindresorhus/slugify': 2.2.1 - acorn: 8.14.1 - estree-util-to-js: 2.0.0 - estree-walker: 3.0.3 - gray-matter: 4.0.3 - hast-util-from-html: 2.0.3 - hast-util-to-html: 9.0.5 - hast-util-to-text: 4.0.2 - is-absolute-url: 4.0.1 - js-yaml: 4.1.0 - lodash: 4.17.21 - mdast: 3.0.0 - mdast-util-from-markdown: 2.0.2 - mdast-util-mdx: 3.0.0 - mdast-util-mdx-jsx: 3.2.0 - micromark-extension-mdx-jsx: 3.0.2 - openapi-types: 12.1.3 - remark: 15.0.1 - remark-frontmatter: 5.0.0 - remark-gfm: 4.0.1 - remark-math: 6.0.0 - remark-mdx: 3.1.0 - remark-stringify: 11.0.0 - unified: 11.0.5 - unist-builder: 4.0.0 - unist-util-map: 4.0.0 - unist-util-remove: 4.0.0 - unist-util-remove-position: 5.0.0 - unist-util-visit: 5.0.0 - unist-util-visit-parents: 6.0.1 - vfile: 6.0.3 - transitivePeerDependencies: - - '@types/react' - - debug - - encoding - - react - - react-dom - - supports-color - - '@mintlify/common@1.0.76(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': - dependencies: - '@apidevtools/swagger-parser': 10.1.0(openapi-types@12.1.3) - '@mintlify/mdx': 0.0.44(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/models': 0.0.72 - '@mintlify/validation': 0.1.129 - '@sindresorhus/slugify': 2.2.1 - acorn: 8.12.1 - acorn-jsx: 5.3.2(acorn@8.12.1) + acorn: 8.15.0 + acorn-jsx: 5.3.2(acorn@8.15.0) esast-util-from-js: 2.0.1 estree-util-to-js: 2.0.0 estree-walker: 3.0.3 @@ -4017,12 +3670,57 @@ snapshots: - react-dom - supports-color - '@mintlify/link-rot@3.0.487(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/common@1.0.428(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@mintlify/common': 1.0.374(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/prebuild': 1.0.484(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@asyncapi/parser': 3.4.0 + '@mintlify/mdx': 2.0.3(@types/react@19.1.8)(acorn@8.15.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/models': 0.0.198 + '@mintlify/openapi-parser': 0.0.7 + '@mintlify/validation': 0.1.398 + '@sindresorhus/slugify': 2.2.1 + acorn: 8.15.0 + acorn-jsx: 5.3.2(acorn@8.15.0) + estree-util-to-js: 2.0.0 + estree-walker: 3.0.3 + gray-matter: 4.0.3 + hast-util-from-html: 2.0.3 + hast-util-to-html: 9.0.5 + hast-util-to-text: 4.0.2 + js-yaml: 4.1.0 + lodash: 4.17.21 + mdast: 3.0.0 + mdast-util-from-markdown: 2.0.2 + mdast-util-mdx: 3.0.0 + mdast-util-mdx-jsx: 3.2.0 + micromark-extension-mdx-jsx: 3.0.2 + openapi-types: 12.1.3 + remark: 15.0.1 + remark-frontmatter: 5.0.0 + remark-gfm: 4.0.1 + remark-math: 6.0.0 + remark-mdx: 3.1.0 + remark-stringify: 11.0.0 + unified: 11.0.5 + unist-builder: 4.0.0 + unist-util-map: 4.0.0 + unist-util-remove: 4.0.0 + unist-util-remove-position: 5.0.0 + unist-util-visit: 5.0.0 + unist-util-visit-parents: 6.0.1 + vfile: 6.0.3 + transitivePeerDependencies: + - '@types/react' + - debug + - encoding + - react + - react-dom + - supports-color + + '@mintlify/link-rot@3.0.547(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + dependencies: + '@mintlify/common': 1.0.428(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/prebuild': 1.0.543(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) fs-extra: 11.3.0 - is-absolute-url: 4.0.1 unist-util-visit: 4.1.2 transitivePeerDependencies: - '@types/react' @@ -4036,34 +3734,39 @@ snapshots: - typescript - utf-8-validate - '@mintlify/mdx@0.0.44(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/mdx@0.0.49(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: + '@mdx-js/mdx': 2.3.0 + '@mdx-js/react': 2.3.0(react@18.3.1) + '@types/hast': 3.0.4 + '@types/unist': 2.0.11 hast-util-to-string: 2.0.0 next-mdx-remote: 4.4.1(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - refractor: 4.8.1 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + refractor: 4.9.0 rehype-katex: 6.0.3 remark-gfm: 3.0.1 remark-math: 5.1.1 remark-smartypants: 2.1.0 + unified: 10.1.2 unist-util-visit: 4.1.2 transitivePeerDependencies: - - react - - react-dom - supports-color - '@mintlify/mdx@1.0.1(@types/react@18.3.5)(acorn@8.14.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/mdx@2.0.3(@types/react@19.1.8)(acorn@8.15.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@types/hast': 3.0.4 - '@types/unist': 3.0.3 + '@shikijs/transformers': 3.7.0 hast-util-to-string: 3.0.1 - next-mdx-remote-client: 1.1.1(@types/react@18.3.5)(acorn@8.14.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + mdast-util-mdx-jsx: 3.2.0 + next-mdx-remote-client: 1.1.1(@types/react@19.1.8)(acorn@8.15.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(unified@11.0.5) react: 18.3.1 react-dom: 18.3.1(react@18.3.1) - refractor: 4.9.0 rehype-katex: 7.0.1 remark-gfm: 4.0.1 remark-math: 6.0.0 remark-smartypants: 3.0.2 + shiki: 3.7.0 unified: 11.0.5 unist-util-visit: 5.0.0 transitivePeerDependencies: @@ -4071,20 +3774,29 @@ snapshots: - acorn - supports-color - '@mintlify/models@0.0.189': + '@mintlify/models@0.0.137': dependencies: - axios: 1.9.0 + axios: 1.10.0 openapi-types: 12.1.3 transitivePeerDependencies: - debug - '@mintlify/models@0.0.72': + '@mintlify/models@0.0.198': dependencies: - axios: 1.7.7 + axios: 1.10.0 openapi-types: 12.1.3 transitivePeerDependencies: - debug + '@mintlify/openapi-parser@0.0.0': + dependencies: + ajv: 8.17.1 + ajv-draft-04: 1.0.0(ajv@8.17.1) + ajv-formats: 3.0.1(ajv@8.17.1) + jsonpointer: 5.0.1 + leven: 4.0.0 + yaml: 2.8.0 + '@mintlify/openapi-parser@0.0.7': dependencies: ajv: 8.17.1 @@ -4094,18 +3806,17 @@ snapshots: leven: 4.0.0 yaml: 2.8.0 - '@mintlify/prebuild@1.0.484(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/prebuild@1.0.543(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@mintlify/common': 1.0.374(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/common': 1.0.428(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) '@mintlify/openapi-parser': 0.0.7 - '@mintlify/scraping': 4.0.230(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/validation': 0.1.361 - axios: 1.9.0 + '@mintlify/scraping': 4.0.284(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/validation': 0.1.398 + axios: 1.10.0 chalk: 5.4.1 favicons: 7.2.0 fs-extra: 11.3.0 gray-matter: 4.0.3 - is-absolute-url: 4.0.1 js-yaml: 4.1.0 mdast: 3.0.0 openapi-types: 12.1.3 @@ -4122,11 +3833,11 @@ snapshots: - typescript - utf-8-validate - '@mintlify/previewing@4.0.520(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/previewing@4.0.586(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@mintlify/common': 1.0.374(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/prebuild': 1.0.484(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - '@mintlify/validation': 0.1.361 + '@mintlify/common': 1.0.428(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/prebuild': 1.0.543(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/validation': 0.1.398 better-opn: 3.0.2 chalk: 5.4.1 chokidar: 3.6.0 @@ -4134,7 +3845,6 @@ snapshots: fs-extra: 11.3.0 got: 13.0.0 gray-matter: 4.0.3 - is-absolute-url: 4.0.1 is-online: 10.0.0 js-yaml: 4.1.0 mdast: 3.0.0 @@ -4156,31 +3866,40 @@ snapshots: - typescript - utf-8-validate - '@mintlify/scraping@3.0.92(openapi-types@12.1.3)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/scraping@3.0.189(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@apidevtools/swagger-parser': 10.1.0(openapi-types@12.1.3) - '@mintlify/common': 1.0.76(react-dom@18.3.1(react@18.3.1))(react@18.3.1) - axios: 1.7.7 - cheerio: 0.22.0 - fs-extra: 11.2.0 - node-html-markdown: 1.3.0 - ora: 6.3.1 - puppeteer: 19.11.1 + '@mintlify/common': 1.0.165(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/openapi-parser': 0.0.0 + fs-extra: 11.3.0 + hast: 1.0.0 + hast-util-to-mdast: 10.1.2 + js-yaml: 4.1.0 + mdast: 3.0.0 + mdast-util-mdx-jsx: 3.2.0 + puppeteer: 22.15.0 + rehype-parse: 9.0.1 + remark-gfm: 4.0.1 + remark-mdx: 3.1.0 + remark-parse: 11.0.0 + remark-stringify: 11.0.0 + traverse: 0.6.11 + unified: 11.0.5 + unist-util-visit: 5.0.0 yargs: 17.7.2 + zod: 3.25.67 transitivePeerDependencies: + - bare-buffer - bufferutil - debug - - encoding - - openapi-types - react - react-dom - supports-color - typescript - utf-8-validate - '@mintlify/scraping@4.0.230(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + '@mintlify/scraping@4.0.284(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': dependencies: - '@mintlify/common': 1.0.374(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/common': 1.0.428(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) '@mintlify/openapi-parser': 0.0.7 fs-extra: 11.3.0 hast-util-to-mdast: 10.1.2 @@ -4196,7 +3915,7 @@ snapshots: unified: 11.0.5 unist-util-visit: 5.0.0 yargs: 17.7.2 - zod: 3.24.4 + zod: 3.25.67 transitivePeerDependencies: - '@types/react' - bare-buffer @@ -4209,26 +3928,25 @@ snapshots: - typescript - utf-8-validate - '@mintlify/validation@0.1.129': + '@mintlify/validation@0.1.206': dependencies: - '@mintlify/models': 0.0.72 + '@mintlify/models': 0.0.137 lcm: 0.0.3 lodash: 4.17.21 openapi-types: 12.1.3 - zod: 3.23.8 - zod-to-json-schema: 3.23.3(zod@3.23.8) + zod: 3.25.67 + zod-to-json-schema: 3.24.6(zod@3.25.67) transitivePeerDependencies: - debug - '@mintlify/validation@0.1.361': + '@mintlify/validation@0.1.398': dependencies: - '@mintlify/models': 0.0.189 - is-absolute-url: 4.0.1 + '@mintlify/models': 0.0.198 lcm: 0.0.3 lodash: 4.17.21 openapi-types: 12.1.3 - zod: 3.24.4 - zod-to-json-schema: 3.24.5(zod@3.24.4) + zod: 3.25.67 + zod-to-json-schema: 3.24.6(zod@3.25.67) transitivePeerDependencies: - debug @@ -4236,19 +3954,6 @@ snapshots: dependencies: fast-deep-equal: 3.1.3 - '@puppeteer/browsers@0.5.0': - dependencies: - debug: 4.3.4 - extract-zip: 2.0.1 - https-proxy-agent: 5.0.1 - progress: 2.0.3 - proxy-from-env: 1.1.0 - tar-fs: 2.1.1 - unbzip2-stream: 1.4.3 - yargs: 17.7.1 - transitivePeerDependencies: - - supports-color - '@puppeteer/browsers@2.3.0': dependencies: debug: 4.4.1 @@ -4256,13 +3961,51 @@ snapshots: progress: 2.0.3 proxy-agent: 6.5.0 semver: 7.7.2 - tar-fs: 3.0.8 + tar-fs: 3.0.10 unbzip2-stream: 1.4.3 yargs: 17.7.2 transitivePeerDependencies: - bare-buffer - supports-color + '@shikijs/core@3.7.0': + dependencies: + '@shikijs/types': 3.7.0 + '@shikijs/vscode-textmate': 10.0.2 + '@types/hast': 3.0.4 + hast-util-to-html: 9.0.5 + + '@shikijs/engine-javascript@3.7.0': + dependencies: + '@shikijs/types': 3.7.0 + '@shikijs/vscode-textmate': 10.0.2 + oniguruma-to-es: 4.3.3 + + '@shikijs/engine-oniguruma@3.7.0': + dependencies: + '@shikijs/types': 3.7.0 + '@shikijs/vscode-textmate': 10.0.2 + + '@shikijs/langs@3.7.0': + dependencies: + '@shikijs/types': 3.7.0 + + '@shikijs/themes@3.7.0': + dependencies: + '@shikijs/types': 3.7.0 + + '@shikijs/transformers@3.7.0': + dependencies: + '@shikijs/core': 3.7.0 + '@shikijs/types': 3.7.0 + + '@shikijs/types@3.7.0': + dependencies: + '@shikijs/vscode-textmate': 10.0.2 + '@types/hast': 3.0.4 + + '@shikijs/vscode-textmate@10.0.2': {} + '@sindresorhus/is@5.6.0': {} '@sindresorhus/slugify@2.2.1': @@ -4284,7 +4027,7 @@ snapshots: '@stoplight/json-ref-readers@1.2.2': dependencies: - node-fetch: 2.7.0 + node-fetch: 2.6.7 tslib: 1.14.1 transitivePeerDependencies: - encoding @@ -4329,7 +4072,7 @@ snapshots: ajv: 8.17.1 ajv-errors: 3.0.0(ajv@8.17.1) ajv-formats: 2.1.1(ajv@8.17.1) - es-aggregate-error: 1.0.13 + es-aggregate-error: 1.0.14 jsonpath-plus: 10.3.0 lodash: 4.17.21 lodash.topath: 4.5.2 @@ -4427,27 +4170,25 @@ snapshots: '@types/acorn@4.0.6': dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 - '@types/cors@2.8.18': + '@types/cors@2.8.19': dependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 '@types/debug@4.1.12': dependencies: - '@types/ms': 0.7.34 + '@types/ms': 2.1.0 '@types/es-aggregate-error@1.0.6': dependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 '@types/estree-jsx@1.0.5': dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 - '@types/estree@1.0.5': {} - - '@types/estree@1.0.7': {} + '@types/estree@1.0.8': {} '@types/hast@2.3.10': dependencies: @@ -4477,7 +4218,7 @@ snapshots: '@types/mdx@2.0.13': {} - '@types/ms@0.7.34': {} + '@types/ms@2.1.0': {} '@types/nlcst@1.0.4': dependencies: @@ -4489,33 +4230,23 @@ snapshots: '@types/node-fetch@2.6.12': dependencies: - '@types/node': 18.19.100 - form-data: 4.0.2 + '@types/node': 18.19.112 + form-data: 4.0.3 - '@types/node@18.19.100': + '@types/node@18.19.112': dependencies: undici-types: 5.26.5 - '@types/node@22.15.18': + '@types/node@24.0.4': dependencies: - undici-types: 6.21.0 - - '@types/node@22.5.5': - dependencies: - undici-types: 6.19.8 - optional: true + undici-types: 7.8.0 '@types/parse5@6.0.3': {} - '@types/prismjs@1.26.4': {} - '@types/prismjs@1.26.5': {} - '@types/prop-types@15.7.12': {} - - '@types/react@18.3.5': + '@types/react@19.1.8': dependencies: - '@types/prop-types': 15.7.12 csstype: 3.1.3 '@types/unist@2.0.11': {} @@ -4526,7 +4257,7 @@ snapshots: '@types/yauzl@2.10.3': dependencies: - '@types/node': 22.5.5 + '@types/node': 24.0.4 optional: true '@ungap/structured-clone@1.3.0': {} @@ -4540,26 +4271,14 @@ snapshots: mime-types: 2.1.35 negotiator: 0.6.3 - acorn-jsx@5.3.2(acorn@8.12.1): + acorn-jsx@5.3.2(acorn@8.15.0): dependencies: - acorn: 8.12.1 + acorn: 8.15.0 - acorn-jsx@5.3.2(acorn@8.14.1): - dependencies: - acorn: 8.14.1 - - acorn@8.12.1: {} - - acorn@8.14.1: {} + acorn@8.15.0: {} address@1.2.2: {} - agent-base@6.0.2: - dependencies: - debug: 4.3.7 - transitivePeerDependencies: - - supports-color - agent-base@7.1.3: {} agentkeepalive@4.6.0: @@ -4590,7 +4309,7 @@ snapshots: ajv@8.17.1: dependencies: fast-deep-equal: 3.1.3 - fast-uri: 3.0.1 + fast-uri: 3.0.6 json-schema-traverse: 1.0.0 require-from-string: 2.0.2 @@ -4602,10 +4321,6 @@ snapshots: ansi-regex@6.1.0: {} - ansi-styles@3.2.1: - dependencies: - color-convert: 1.9.3 - ansi-styles@4.3.0: dependencies: color-convert: 2.0.1 @@ -4635,7 +4350,7 @@ snapshots: array-buffer-byte-length: 1.0.2 call-bind: 1.0.8 define-properties: 1.2.1 - es-abstract: 1.23.9 + es-abstract: 1.24.0 es-errors: 1.3.0 get-intrinsic: 1.3.0 is-array-buffer: 3.0.5 @@ -4656,18 +4371,10 @@ snapshots: avsc@5.7.7: {} - axios@1.7.7: + axios@1.10.0: dependencies: follow-redirects: 1.15.9 - form-data: 4.0.0 - proxy-from-env: 1.1.0 - transitivePeerDependencies: - - debug - - axios@1.9.0: - dependencies: - follow-redirects: 1.15.9 - form-data: 4.0.2 + form-data: 4.0.3 proxy-from-env: 1.1.0 transitivePeerDependencies: - debug @@ -4698,7 +4405,7 @@ snapshots: bare-stream@2.6.5(bare-events@2.5.4): dependencies: - streamx: 2.22.0 + streamx: 2.22.1 optionalDependencies: bare-events: 2.5.4 optional: true @@ -4715,12 +4422,6 @@ snapshots: binary-extensions@2.3.0: {} - bl@4.1.0: - dependencies: - buffer: 5.7.1 - inherits: 2.0.4 - readable-stream: 3.6.2 - bl@5.1.0: dependencies: buffer: 6.0.3 @@ -4744,9 +4445,7 @@ snapshots: transitivePeerDependencies: - supports-color - boolbase@1.0.0: {} - - brace-expansion@1.1.11: + brace-expansion@1.1.12: dependencies: balanced-match: 1.0.2 concat-map: 0.0.1 @@ -4778,7 +4477,7 @@ snapshots: http-cache-semantics: 4.2.0 keyv: 4.5.4 mimic-response: 4.0.0 - normalize-url: 8.0.1 + normalize-url: 8.0.2 responselike: 3.0.0 call-bind-apply-helpers@1.0.2: @@ -4798,20 +4497,10 @@ snapshots: call-bind-apply-helpers: 1.0.2 get-intrinsic: 1.3.0 - call-me-maybe@1.0.2: {} - callsites@3.1.0: {} ccount@2.0.1: {} - chalk@2.4.2: - dependencies: - ansi-styles: 3.2.1 - escape-string-regexp: 1.0.5 - supports-color: 5.5.0 - - chalk@5.3.0: {} - chalk@5.4.1: {} character-entities-html4@2.1.0: {} @@ -4824,25 +4513,6 @@ snapshots: chardet@0.7.0: {} - cheerio@0.22.0: - dependencies: - css-select: 1.2.0 - dom-serializer: 0.1.1 - entities: 1.1.2 - htmlparser2: 3.10.1 - lodash.assignin: 4.2.0 - lodash.bind: 4.2.1 - lodash.defaults: 4.2.0 - lodash.filter: 4.6.0 - lodash.flatten: 4.4.0 - lodash.foreach: 4.5.0 - lodash.map: 4.6.0 - lodash.merge: 4.6.2 - lodash.pick: 4.4.0 - lodash.reduce: 4.6.0 - lodash.reject: 4.6.0 - lodash.some: 4.6.0 - chokidar@3.6.0: dependencies: anymatch: 3.1.3 @@ -4855,15 +4525,8 @@ snapshots: optionalDependencies: fsevents: 2.3.3 - chownr@1.1.4: {} - chownr@2.0.0: {} - chromium-bidi@0.4.7(devtools-protocol@0.0.1107588): - dependencies: - devtools-protocol: 0.0.1107588 - mitt: 3.0.0 - chromium-bidi@0.6.3(devtools-protocol@0.0.1312386): dependencies: devtools-protocol: 0.0.1312386 @@ -4893,16 +4556,10 @@ snapshots: collapse-white-space@2.1.0: {} - color-convert@1.9.3: - dependencies: - color-name: 1.1.3 - color-convert@2.0.1: dependencies: color-name: 1.1.4 - color-name@1.1.3: {} - color-name@1.1.4: {} color-string@1.9.1: @@ -4942,13 +4599,6 @@ snapshots: object-assign: 4.1.1 vary: 1.1.2 - cosmiconfig@8.1.3: - dependencies: - import-fresh: 3.3.0 - js-yaml: 4.1.0 - parse-json: 5.2.0 - path-type: 4.0.0 - cosmiconfig@9.0.0: dependencies: env-paths: 2.2.1 @@ -4956,31 +4606,6 @@ snapshots: js-yaml: 4.1.0 parse-json: 5.2.0 - cross-fetch@3.1.5: - dependencies: - node-fetch: 2.6.7 - transitivePeerDependencies: - - encoding - - css-select@1.2.0: - dependencies: - boolbase: 1.0.0 - css-what: 2.1.3 - domutils: 1.5.1 - nth-check: 1.0.2 - - css-select@5.1.0: - dependencies: - boolbase: 1.0.0 - css-what: 6.1.0 - domhandler: 5.0.3 - domutils: 3.1.0 - nth-check: 2.1.1 - - css-what@2.1.3: {} - - css-what@6.1.0: {} - csstype@3.1.3: {} data-uri-to-buffer@6.0.2: {} @@ -5007,10 +4632,6 @@ snapshots: dependencies: ms: 2.0.0 - debug@4.3.4: - dependencies: - ms: 2.1.2 - debug@4.3.7: dependencies: ms: 2.1.3 @@ -5019,11 +4640,7 @@ snapshots: dependencies: ms: 2.1.3 - decode-named-character-reference@1.0.2: - dependencies: - character-entities: 2.0.2 - - decode-named-character-reference@1.1.0: + decode-named-character-reference@1.2.0: dependencies: character-entities: 2.0.2 @@ -5080,8 +4697,6 @@ snapshots: dependencies: dequal: 2.0.3 - devtools-protocol@0.0.1107588: {} - devtools-protocol@0.0.1312386: {} diff@5.2.0: {} @@ -5094,45 +4709,6 @@ snapshots: dependencies: dns-packet: 5.6.1 - dom-serializer@0.1.1: - dependencies: - domelementtype: 1.3.1 - entities: 1.1.2 - - dom-serializer@2.0.0: - dependencies: - domelementtype: 2.3.0 - domhandler: 5.0.3 - entities: 4.5.0 - - domelementtype@1.3.1: {} - - domelementtype@2.3.0: {} - - domhandler@2.4.2: - dependencies: - domelementtype: 1.3.1 - - domhandler@5.0.3: - dependencies: - domelementtype: 2.3.0 - - domutils@1.5.1: - dependencies: - dom-serializer: 0.1.1 - domelementtype: 1.3.1 - - domutils@1.7.0: - dependencies: - dom-serializer: 0.1.1 - domelementtype: 1.3.1 - - domutils@3.1.0: - dependencies: - dom-serializer: 2.0.0 - domelementtype: 2.3.0 - domhandler: 5.0.3 - dunder-proto@1.0.1: dependencies: call-bind-apply-helpers: 1.0.2 @@ -5147,7 +4723,7 @@ snapshots: encodeurl@2.0.0: {} - end-of-stream@1.4.4: + end-of-stream@1.4.5: dependencies: once: 1.4.0 @@ -5155,8 +4731,8 @@ snapshots: engine.io@6.6.4: dependencies: - '@types/cors': 2.8.18 - '@types/node': 22.15.18 + '@types/cors': 2.8.19 + '@types/node': 24.0.4 accepts: 1.3.8 base64id: 2.0.0 cookie: 0.7.2 @@ -5169,11 +4745,7 @@ snapshots: - supports-color - utf-8-validate - entities@1.1.2: {} - - entities@4.5.0: {} - - entities@6.0.0: {} + entities@6.0.1: {} env-paths@2.2.1: {} @@ -5181,7 +4753,7 @@ snapshots: dependencies: is-arrayish: 0.2.1 - es-abstract@1.23.9: + es-abstract@1.24.0: dependencies: array-buffer-byte-length: 1.0.2 arraybuffer.prototype.slice: 1.0.4 @@ -5210,7 +4782,9 @@ snapshots: is-array-buffer: 3.0.5 is-callable: 1.2.7 is-data-view: 1.0.2 + is-negative-zero: 2.0.3 is-regex: 1.2.1 + is-set: 2.0.3 is-shared-array-buffer: 1.0.4 is-string: 1.1.1 is-typed-array: 1.1.15 @@ -5225,6 +4799,7 @@ snapshots: safe-push-apply: 1.0.0 safe-regex-test: 1.1.0 set-proto: 1.0.0 + stop-iteration-iterator: 1.1.0 string.prototype.trim: 1.2.10 string.prototype.trimend: 1.0.9 string.prototype.trimstart: 1.0.8 @@ -5235,11 +4810,11 @@ snapshots: unbox-primitive: 1.1.0 which-typed-array: 1.1.19 - es-aggregate-error@1.0.13: + es-aggregate-error@1.0.14: dependencies: define-data-property: 1.1.4 define-properties: 1.2.1 - es-abstract: 1.23.9 + es-abstract: 1.24.0 es-errors: 1.3.0 function-bind: 1.1.2 globalthis: 1.0.4 @@ -5277,7 +4852,7 @@ snapshots: esast-util-from-js@2.0.1: dependencies: '@types/estree-jsx': 1.0.5 - acorn: 8.12.1 + acorn: 8.15.0 esast-util-from-estree: 2.0.0 vfile-message: 4.0.2 @@ -5285,8 +4860,6 @@ snapshots: escape-html@1.0.3: {} - escape-string-regexp@1.0.5: {} - escape-string-regexp@5.0.0: {} escodegen@2.1.0: @@ -5303,11 +4876,11 @@ snapshots: estree-util-attach-comments@2.1.1: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 estree-util-attach-comments@3.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 estree-util-build-jsx@2.2.2: dependencies: @@ -5328,7 +4901,7 @@ snapshots: estree-util-scope@1.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 devlop: 1.1.0 estree-util-to-js@1.2.0: @@ -5355,7 +4928,7 @@ snapshots: estree-walker@3.0.3: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 esutils@2.0.3: {} @@ -5413,7 +4986,7 @@ snapshots: extract-zip@2.0.1: dependencies: - debug: 4.3.7 + debug: 4.4.1 get-stream: 5.2.0 yauzl: 2.10.0 optionalDependencies: @@ -5427,7 +5000,7 @@ snapshots: fast-memoize@2.5.2: {} - fast-uri@3.0.1: {} + fast-uri@3.0.6: {} fault@2.0.1: dependencies: @@ -5469,17 +5042,12 @@ snapshots: form-data-encoder@2.1.4: {} - form-data@4.0.0: - dependencies: - asynckit: 0.4.0 - combined-stream: 1.0.8 - mime-types: 2.1.35 - - form-data@4.0.2: + form-data@4.0.3: dependencies: asynckit: 0.4.0 combined-stream: 1.0.8 es-set-tostringtag: 2.1.0 + hasown: 2.0.2 mime-types: 2.1.35 format@0.2.2: {} @@ -5493,14 +5061,6 @@ snapshots: fresh@0.5.2: {} - fs-constants@1.0.0: {} - - fs-extra@11.2.0: - dependencies: - graceful-fs: 4.2.11 - jsonfile: 6.1.0 - universalify: 2.0.1 - fs-extra@11.3.0: dependencies: graceful-fs: 4.2.11 @@ -5551,7 +5111,7 @@ snapshots: get-stream@5.2.0: dependencies: - pump: 3.0.2 + pump: 3.0.3 get-stream@6.0.1: {} @@ -5619,8 +5179,6 @@ snapshots: has-bigints@1.1.0: {} - has-flag@3.0.0: {} - has-property-descriptors@1.0.2: dependencies: es-define-property: 1.0.1 @@ -5649,10 +5207,10 @@ snapshots: hastscript: 7.2.0 web-namespaces: 2.0.1 - hast-util-from-dom@5.0.0: + hast-util-from-dom@5.0.1: dependencies: '@types/hast': 3.0.4 - hastscript: 8.0.0 + hastscript: 9.0.1 web-namespaces: 2.0.1 hast-util-from-html-isomorphic@1.0.0: @@ -5665,27 +5223,18 @@ snapshots: hast-util-from-html-isomorphic@2.0.0: dependencies: '@types/hast': 3.0.4 - hast-util-from-dom: 5.0.0 - hast-util-from-html: 2.0.2 + hast-util-from-dom: 5.0.1 + hast-util-from-html: 2.0.3 unist-util-remove-position: 5.0.0 hast-util-from-html@1.0.2: dependencies: '@types/hast': 2.3.10 hast-util-from-parse5: 7.1.2 - parse5: 7.1.2 + parse5: 7.3.0 vfile: 5.3.7 vfile-message: 3.1.4 - hast-util-from-html@2.0.2: - dependencies: - '@types/hast': 3.0.4 - devlop: 1.1.0 - hast-util-from-parse5: 8.0.1 - parse5: 7.1.2 - vfile: 6.0.3 - vfile-message: 4.0.2 - hast-util-from-html@2.0.3: dependencies: '@types/hast': 3.0.4 @@ -5705,17 +5254,6 @@ snapshots: vfile-location: 4.1.0 web-namespaces: 2.0.1 - hast-util-from-parse5@8.0.1: - dependencies: - '@types/hast': 3.0.4 - '@types/unist': 3.0.3 - devlop: 1.1.0 - hastscript: 8.0.0 - property-information: 6.5.0 - vfile: 6.0.3 - vfile-location: 5.0.3 - web-namespaces: 2.0.1 - hast-util-from-parse5@8.0.3: dependencies: '@types/hast': 3.0.4 @@ -5784,7 +5322,7 @@ snapshots: hast-util-to-estree@2.3.3: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 '@types/estree-jsx': 1.0.5 '@types/hast': 2.3.10 '@types/unist': 2.0.11 @@ -5804,7 +5342,7 @@ snapshots: hast-util-to-estree@3.1.3: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 '@types/estree-jsx': 1.0.5 '@types/hast': 3.0.4 comma-separated-tokens: 2.0.3 @@ -5817,7 +5355,7 @@ snapshots: mdast-util-mdxjs-esm: 2.0.1 property-information: 7.1.0 space-separated-tokens: 2.0.2 - style-to-js: 1.1.16 + style-to-js: 1.1.17 unist-util-position: 5.0.0 zwitch: 2.0.4 transitivePeerDependencies: @@ -5853,7 +5391,7 @@ snapshots: hast-util-to-jsx-runtime@2.3.6: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 '@types/hast': 3.0.4 '@types/unist': 3.0.3 comma-separated-tokens: 2.0.3 @@ -5865,7 +5403,7 @@ snapshots: mdast-util-mdxjs-esm: 2.0.1 property-information: 7.1.0 space-separated-tokens: 2.0.2 - style-to-js: 1.1.16 + style-to-js: 1.1.17 unist-util-position: 5.0.0 vfile-message: 4.0.2 transitivePeerDependencies: @@ -5925,6 +5463,8 @@ snapshots: dependencies: '@types/hast': 3.0.4 + hast@1.0.0: {} + hastscript@7.2.0: dependencies: '@types/hast': 2.3.10 @@ -5933,14 +5473,6 @@ snapshots: property-information: 6.5.0 space-separated-tokens: 2.0.2 - hastscript@8.0.0: - dependencies: - '@types/hast': 3.0.4 - comma-separated-tokens: 2.0.3 - hast-util-parse-selector: 4.0.0 - property-information: 6.5.0 - space-separated-tokens: 2.0.2 - hastscript@9.0.1: dependencies: '@types/hast': 3.0.4 @@ -5949,11 +5481,9 @@ snapshots: property-information: 7.1.0 space-separated-tokens: 2.0.2 - he@1.2.0: {} - honcho-ai@0.0.11: dependencies: - '@types/node': 18.19.100 + '@types/node': 18.19.112 '@types/node-fetch': 2.6.12 abort-controller: 3.0.0 agentkeepalive: 4.6.0 @@ -5967,15 +5497,6 @@ snapshots: html-void-elements@3.0.0: {} - htmlparser2@3.10.1: - dependencies: - domelementtype: 1.3.1 - domhandler: 2.4.2 - domutils: 1.7.0 - entities: 1.1.2 - inherits: 2.0.4 - readable-stream: 3.6.2 - http-cache-semantics@4.2.0: {} http-errors@2.0.0: @@ -5998,13 +5519,6 @@ snapshots: quick-lru: 5.1.1 resolve-alpn: 1.2.1 - https-proxy-agent@5.0.1: - dependencies: - agent-base: 6.0.2 - debug: 4.3.7 - transitivePeerDependencies: - - supports-color - https-proxy-agent@7.0.6: dependencies: agent-base: 7.1.3 @@ -6024,11 +5538,6 @@ snapshots: immer@9.0.21: {} - import-fresh@3.3.0: - dependencies: - parent-module: 1.0.1 - resolve-from: 4.0.0 - import-fresh@3.3.1: dependencies: parent-module: 1.0.1 @@ -6042,17 +5551,17 @@ snapshots: inline-style-parser@0.2.4: {} - inquirer@12.6.1(@types/node@22.15.18): + inquirer@12.6.3(@types/node@24.0.4): dependencies: - '@inquirer/core': 10.1.11(@types/node@22.15.18) - '@inquirer/prompts': 7.5.1(@types/node@22.15.18) - '@inquirer/type': 3.0.6(@types/node@22.15.18) + '@inquirer/core': 10.1.13(@types/node@24.0.4) + '@inquirer/prompts': 7.5.3(@types/node@24.0.4) + '@inquirer/type': 3.0.7(@types/node@24.0.4) ansi-escapes: 4.3.2 mute-stream: 2.0.0 run-async: 3.0.0 rxjs: 7.8.2 optionalDependencies: - '@types/node': 22.15.18 + '@types/node': 24.0.4 internal-slot@1.1.0: dependencies: @@ -6159,6 +5668,8 @@ snapshots: is-map@2.0.3: {} + is-negative-zero@2.0.3: {} + is-number-object@1.1.1: dependencies: call-bound: 1.0.4 @@ -6175,9 +5686,9 @@ snapshots: is-plain-obj@4.1.0: {} - is-reference@3.0.2: + is-reference@3.0.3: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 is-regex@1.2.1: dependencies: @@ -6263,10 +5774,6 @@ snapshots: jsonpointer@5.0.1: {} - katex@0.16.11: - dependencies: - commander: 8.3.0 - katex@0.16.22: dependencies: commander: 8.3.0 @@ -6289,37 +5796,13 @@ snapshots: lines-and-columns@1.2.4: {} - lodash.assignin@4.2.0: {} - - lodash.bind@4.2.1: {} - - lodash.defaults@4.2.0: {} - - lodash.filter@4.6.0: {} - - lodash.flatten@4.4.0: {} - - lodash.foreach@4.5.0: {} - - lodash.map@4.6.0: {} - - lodash.merge@4.6.2: {} - - lodash.pick@4.4.0: {} - - lodash.reduce@4.6.0: {} - - lodash.reject@4.6.0: {} - - lodash.some@4.6.0: {} - lodash.topath@4.5.2: {} lodash@4.17.21: {} log-symbols@5.1.0: dependencies: - chalk: 5.3.0 + chalk: 5.4.1 is-unicode-supported: 1.3.0 longest-streak@3.1.0: {} @@ -6336,8 +5819,6 @@ snapshots: markdown-extensions@2.0.0: {} - markdown-table@3.0.3: {} - markdown-table@3.0.4: {} math-intrinsics@1.1.0: {} @@ -6366,7 +5847,7 @@ snapshots: dependencies: '@types/mdast': 3.0.15 '@types/unist': 2.0.11 - decode-named-character-reference: 1.0.2 + decode-named-character-reference: 1.2.0 mdast-util-to-string: 3.2.0 micromark: 3.2.0 micromark-util-decode-numeric-character-reference: 1.1.0 @@ -6383,7 +5864,7 @@ snapshots: dependencies: '@types/mdast': 4.0.4 '@types/unist': 3.0.3 - decode-named-character-reference: 1.1.0 + decode-named-character-reference: 1.2.0 devlop: 1.1.0 mdast-util-to-string: 4.0.0 micromark: 4.0.2 @@ -6460,7 +5941,7 @@ snapshots: mdast-util-gfm-table@1.0.7: dependencies: '@types/mdast': 3.0.15 - markdown-table: 3.0.3 + markdown-table: 3.0.4 mdast-util-from-markdown: 1.3.1 mdast-util-to-markdown: 1.5.0 transitivePeerDependencies: @@ -6562,7 +6043,7 @@ snapshots: ccount: 2.0.1 mdast-util-from-markdown: 1.3.1 mdast-util-to-markdown: 1.5.0 - parse-entities: 4.0.1 + parse-entities: 4.0.2 stringify-entities: 4.0.4 unist-util-remove-position: 4.0.2 unist-util-stringify-position: 3.0.3 @@ -6702,7 +6183,7 @@ snapshots: micromark-core-commonmark@1.1.0: dependencies: - decode-named-character-reference: 1.0.2 + decode-named-character-reference: 1.2.0 micromark-factory-destination: 1.1.0 micromark-factory-label: 1.1.0 micromark-factory-space: 1.1.0 @@ -6721,7 +6202,7 @@ snapshots: micromark-core-commonmark@2.0.3: dependencies: - decode-named-character-reference: 1.1.0 + decode-named-character-reference: 1.2.0 devlop: 1.1.0 micromark-factory-destination: 2.0.1 micromark-factory-label: 2.0.1 @@ -6871,7 +6352,7 @@ snapshots: micromark-extension-math@2.1.2: dependencies: '@types/katex': 0.16.7 - katex: 0.16.11 + katex: 0.16.22 micromark-factory-space: 1.1.0 micromark-util-character: 1.2.0 micromark-util-symbol: 1.1.0 @@ -6890,7 +6371,7 @@ snapshots: micromark-extension-mdx-expression@1.0.8: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 micromark-factory-mdx-expression: 1.0.9 micromark-factory-space: 1.1.0 micromark-util-character: 1.2.0 @@ -6901,7 +6382,7 @@ snapshots: micromark-extension-mdx-expression@3.0.1: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 devlop: 1.1.0 micromark-factory-mdx-expression: 2.0.3 micromark-factory-space: 2.0.1 @@ -6913,7 +6394,7 @@ snapshots: micromark-extension-mdx-jsx@1.0.5: dependencies: '@types/acorn': 4.0.6 - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 estree-util-is-identifier-name: 2.1.0 micromark-factory-mdx-expression: 1.0.9 micromark-factory-space: 1.1.0 @@ -6925,7 +6406,7 @@ snapshots: micromark-extension-mdx-jsx@3.0.2: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 devlop: 1.1.0 estree-util-is-identifier-name: 3.0.0 micromark-factory-mdx-expression: 2.0.3 @@ -6946,7 +6427,7 @@ snapshots: micromark-extension-mdxjs-esm@1.0.5: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 micromark-core-commonmark: 1.1.0 micromark-util-character: 1.2.0 micromark-util-events-to-acorn: 1.2.3 @@ -6958,7 +6439,7 @@ snapshots: micromark-extension-mdxjs-esm@3.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 devlop: 1.1.0 micromark-core-commonmark: 2.0.3 micromark-util-character: 2.1.1 @@ -6970,8 +6451,8 @@ snapshots: micromark-extension-mdxjs@1.0.1: dependencies: - acorn: 8.12.1 - acorn-jsx: 5.3.2(acorn@8.12.1) + acorn: 8.15.0 + acorn-jsx: 5.3.2(acorn@8.15.0) micromark-extension-mdx-expression: 1.0.8 micromark-extension-mdx-jsx: 1.0.5 micromark-extension-mdx-md: 1.0.1 @@ -6981,8 +6462,8 @@ snapshots: micromark-extension-mdxjs@3.0.0: dependencies: - acorn: 8.14.1 - acorn-jsx: 5.3.2(acorn@8.14.1) + acorn: 8.15.0 + acorn-jsx: 5.3.2(acorn@8.15.0) micromark-extension-mdx-expression: 3.0.1 micromark-extension-mdx-jsx: 3.0.2 micromark-extension-mdx-md: 2.0.0 @@ -7018,7 +6499,7 @@ snapshots: micromark-factory-mdx-expression@1.0.9: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 micromark-util-character: 1.2.0 micromark-util-events-to-acorn: 1.2.3 micromark-util-symbol: 1.1.0 @@ -7029,7 +6510,7 @@ snapshots: micromark-factory-mdx-expression@2.0.3: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 devlop: 1.1.0 micromark-factory-space: 2.0.1 micromark-util-character: 2.1.1 @@ -7127,14 +6608,14 @@ snapshots: micromark-util-decode-string@1.1.0: dependencies: - decode-named-character-reference: 1.0.2 + decode-named-character-reference: 1.2.0 micromark-util-character: 1.2.0 micromark-util-decode-numeric-character-reference: 1.1.0 micromark-util-symbol: 1.1.0 micromark-util-decode-string@2.0.1: dependencies: - decode-named-character-reference: 1.1.0 + decode-named-character-reference: 1.2.0 micromark-util-character: 2.1.1 micromark-util-decode-numeric-character-reference: 2.0.2 micromark-util-symbol: 2.0.1 @@ -7146,7 +6627,7 @@ snapshots: micromark-util-events-to-acorn@1.2.3: dependencies: '@types/acorn': 4.0.6 - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 '@types/unist': 2.0.11 estree-util-visit: 1.2.1 micromark-util-symbol: 1.1.0 @@ -7156,7 +6637,7 @@ snapshots: micromark-util-events-to-acorn@2.0.3: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 '@types/unist': 3.0.3 devlop: 1.1.0 estree-util-visit: 2.0.0 @@ -7221,8 +6702,8 @@ snapshots: micromark@3.2.0: dependencies: '@types/debug': 4.1.12 - debug: 4.3.7 - decode-named-character-reference: 1.0.2 + debug: 4.4.1 + decode-named-character-reference: 1.2.0 micromark-core-commonmark: 1.1.0 micromark-factory-space: 1.1.0 micromark-util-character: 1.2.0 @@ -7244,7 +6725,7 @@ snapshots: dependencies: '@types/debug': 4.1.12 debug: 4.4.1 - decode-named-character-reference: 1.1.0 + decode-named-character-reference: 1.2.0 devlop: 1.1.0 micromark-core-commonmark: 2.0.3 micromark-factory-space: 2.0.1 @@ -7278,7 +6759,7 @@ snapshots: minimatch@3.1.2: dependencies: - brace-expansion: 1.1.11 + brace-expansion: 1.1.12 minipass@3.3.6: dependencies: @@ -7291,9 +6772,9 @@ snapshots: minipass: 3.3.6 yallist: 4.0.0 - mintlify@4.0.531(@types/node@22.15.18)(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + mint@4.1.96(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1): dependencies: - '@mintlify/cli': 4.0.529(@types/node@22.15.18)(@types/react@18.3.5)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mintlify/cli': 4.0.597(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) transitivePeerDependencies: - '@types/node' - '@types/react' @@ -7307,20 +6788,30 @@ snapshots: - typescript - utf-8-validate - mitt@3.0.0: {} + mintlify@4.1.96(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + dependencies: + '@mintlify/cli': 4.0.597(@types/node@24.0.4)(@types/react@19.1.8)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + transitivePeerDependencies: + - '@types/node' + - '@types/react' + - bare-buffer + - bufferutil + - debug + - encoding + - react + - react-dom + - supports-color + - typescript + - utf-8-validate mitt@3.0.1: {} - mkdirp-classic@0.5.3: {} - mkdirp@1.0.4: {} mri@1.2.0: {} ms@2.0.0: {} - ms@2.1.2: {} - ms@2.1.3: {} mute-stream@2.0.0: {} @@ -7331,14 +6822,14 @@ snapshots: netmask@2.0.2: {} - next-mdx-remote-client@1.1.1(@types/react@18.3.5)(acorn@8.14.1)(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + next-mdx-remote-client@1.1.1(@types/react@19.1.8)(acorn@8.15.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(unified@11.0.5): dependencies: '@babel/code-frame': 7.27.1 - '@mdx-js/mdx': 3.1.0(acorn@8.14.1) - '@mdx-js/react': 3.1.0(@types/react@18.3.5)(react@18.3.1) + '@mdx-js/mdx': 3.1.0(acorn@8.15.0) + '@mdx-js/react': 3.1.0(@types/react@19.1.8)(react@18.3.1) react: 18.3.1 react-dom: 18.3.1(react@18.3.1) - remark-mdx-remove-esm: 1.1.0 + remark-mdx-remove-esm: 1.2.0(unified@11.0.5) serialize-error: 12.0.0 vfile: 6.0.3 vfile-matter: 5.0.1 @@ -7346,6 +6837,7 @@ snapshots: - '@types/react' - acorn - supports-color + - unified next-mdx-remote@4.4.1(react-dom@18.3.1(react@18.3.1))(react@18.3.1): dependencies: @@ -7386,26 +6878,9 @@ snapshots: dependencies: whatwg-url: 5.0.0 - node-html-markdown@1.3.0: - dependencies: - node-html-parser: 6.1.13 - - node-html-parser@6.1.13: - dependencies: - css-select: 5.1.0 - he: 1.2.0 - normalize-path@3.0.0: {} - normalize-url@8.0.1: {} - - nth-check@1.0.2: - dependencies: - boolbase: 1.0.0 - - nth-check@2.1.1: - dependencies: - boolbase: 1.0.0 + normalize-url@8.0.2: {} object-assign@4.1.1: {} @@ -7434,6 +6909,14 @@ snapshots: dependencies: mimic-fn: 2.1.0 + oniguruma-parser@0.12.1: {} + + oniguruma-to-es@4.3.3: + dependencies: + oniguruma-parser: 0.12.1 + regex: 6.0.1 + regex-recursion: 6.0.2 + open@8.4.2: dependencies: define-lazy-prop: 2.0.0 @@ -7444,7 +6927,7 @@ snapshots: ora@6.3.1: dependencies: - chalk: 5.3.0 + chalk: 5.4.1 cli-cursor: 4.0.0 cli-spinners: 2.9.2 is-interactive: 2.0.0 @@ -7498,30 +6981,19 @@ snapshots: dependencies: callsites: 3.1.0 - parse-entities@4.0.1: - dependencies: - '@types/unist': 2.0.11 - character-entities: 2.0.2 - character-entities-legacy: 3.0.0 - character-reference-invalid: 2.0.1 - decode-named-character-reference: 1.0.2 - is-alphanumerical: 2.0.1 - is-decimal: 2.0.1 - is-hexadecimal: 2.0.1 - parse-entities@4.0.2: dependencies: '@types/unist': 2.0.11 character-entities-legacy: 3.0.0 character-reference-invalid: 2.0.1 - decode-named-character-reference: 1.1.0 + decode-named-character-reference: 1.2.0 is-alphanumerical: 2.0.1 is-decimal: 2.0.1 is-hexadecimal: 2.0.1 parse-json@5.2.0: dependencies: - '@babel/code-frame': 7.24.7 + '@babel/code-frame': 7.27.1 error-ex: 1.3.2 json-parse-even-better-errors: 2.3.1 lines-and-columns: 1.2.4 @@ -7543,29 +7015,21 @@ snapshots: parse5@6.0.1: {} - parse5@7.1.2: - dependencies: - entities: 4.5.0 - parse5@7.3.0: dependencies: - entities: 6.0.0 + entities: 6.0.1 parseurl@1.3.3: {} path-to-regexp@0.1.12: {} - path-type@4.0.0: {} - pend@1.2.0: {} periscopic@3.1.0: dependencies: - '@types/estree': 1.0.5 + '@types/estree': 1.0.8 estree-walker: 3.0.3 - is-reference: 3.0.2 - - picocolors@1.1.0: {} + is-reference: 3.0.3 picocolors@1.1.1: {} @@ -7607,30 +7071,11 @@ snapshots: got: 12.6.1 is-ip: 3.1.0 - pump@3.0.2: + pump@3.0.3: dependencies: - end-of-stream: 1.4.4 + end-of-stream: 1.4.5 once: 1.4.0 - puppeteer-core@19.11.1: - dependencies: - '@puppeteer/browsers': 0.5.0 - chromium-bidi: 0.4.7(devtools-protocol@0.0.1107588) - cross-fetch: 3.1.5 - debug: 4.3.4 - devtools-protocol: 0.0.1107588 - extract-zip: 2.0.1 - https-proxy-agent: 5.0.1 - proxy-from-env: 1.1.0 - tar-fs: 2.1.1 - unbzip2-stream: 1.4.3 - ws: 8.13.0 - transitivePeerDependencies: - - bufferutil - - encoding - - supports-color - - utf-8-validate - puppeteer-core@22.15.0: dependencies: '@puppeteer/browsers': 2.3.0 @@ -7644,21 +7089,6 @@ snapshots: - supports-color - utf-8-validate - puppeteer@19.11.1: - dependencies: - '@puppeteer/browsers': 0.5.0 - cosmiconfig: 8.1.3 - https-proxy-agent: 5.0.1 - progress: 2.0.3 - proxy-from-env: 1.1.0 - puppeteer-core: 19.11.1 - transitivePeerDependencies: - - bufferutil - - encoding - - supports-color - - typescript - - utf-8-validate - puppeteer@22.15.0: dependencies: '@puppeteer/browsers': 2.3.0 @@ -7709,13 +7139,13 @@ snapshots: recma-build-jsx@1.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 estree-util-build-jsx: 3.0.1 vfile: 6.0.3 - recma-jsx@1.0.0(acorn@8.14.1): + recma-jsx@1.0.0(acorn@8.15.0): dependencies: - acorn-jsx: 5.3.2(acorn@8.14.1) + acorn-jsx: 5.3.2(acorn@8.15.0) estree-util-to-js: 2.0.0 recma-parse: 1.0.0 recma-stringify: 1.0.0 @@ -7725,14 +7155,14 @@ snapshots: recma-parse@1.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 esast-util-from-js: 2.0.1 unified: 11.0.5 vfile: 6.0.3 recma-stringify@1.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 estree-util-to-js: 2.0.0 unified: 11.0.5 vfile: 6.0.3 @@ -7741,20 +7171,13 @@ snapshots: dependencies: call-bind: 1.0.8 define-properties: 1.2.1 - es-abstract: 1.23.9 + es-abstract: 1.24.0 es-errors: 1.3.0 es-object-atoms: 1.1.1 get-intrinsic: 1.3.0 get-proto: 1.0.1 which-builtin-type: 1.2.1 - refractor@4.8.1: - dependencies: - '@types/hast': 2.3.10 - '@types/prismjs': 1.26.4 - hastscript: 7.2.0 - parse-entities: 4.0.1 - refractor@4.9.0: dependencies: '@types/hast': 2.3.10 @@ -7762,6 +7185,16 @@ snapshots: hastscript: 7.2.0 parse-entities: 4.0.2 + regex-recursion@6.0.2: + dependencies: + regex-utilities: 2.3.0 + + regex-utilities@2.3.0: {} + + regex@6.0.1: + dependencies: + regex-utilities: 2.3.0 + regexp.prototype.flags@1.5.4: dependencies: call-bind: 1.0.8 @@ -7777,7 +7210,7 @@ snapshots: '@types/katex': 0.14.0 hast-util-from-html-isomorphic: 1.0.0 hast-util-to-text: 3.1.2 - katex: 0.16.11 + katex: 0.16.22 unist-util-visit: 4.1.2 rehype-katex@7.0.1: @@ -7803,7 +7236,7 @@ snapshots: rehype-recma@1.0.0: dependencies: - '@types/estree': 1.0.7 + '@types/estree': 1.0.8 '@types/hast': 3.0.4 hast-util-to-estree: 3.1.3 transitivePeerDependencies: @@ -7861,10 +7294,11 @@ snapshots: transitivePeerDependencies: - supports-color - remark-mdx-remove-esm@1.1.0: + remark-mdx-remove-esm@1.2.0(unified@11.0.5): dependencies: '@types/mdast': 4.0.4 mdast-util-mdxjs-esm: 2.0.1 + unified: 11.0.5 unist-util-remove: 4.0.0 transitivePeerDependencies: - supports-color @@ -8156,6 +7590,17 @@ snapshots: '@img/sharp-win32-ia32': 0.33.5 '@img/sharp-win32-x64': 0.33.5 + shiki@3.7.0: + dependencies: + '@shikijs/core': 3.7.0 + '@shikijs/engine-javascript': 3.7.0 + '@shikijs/engine-oniguruma': 3.7.0 + '@shikijs/langs': 3.7.0 + '@shikijs/themes': 3.7.0 + '@shikijs/types': 3.7.0 + '@shikijs/vscode-textmate': 10.0.2 + '@types/hast': 3.0.4 + side-channel-list@1.0.0: dependencies: es-errors: 1.3.0 @@ -8232,11 +7677,11 @@ snapshots: dependencies: agent-base: 7.1.3 debug: 4.4.1 - socks: 2.8.4 + socks: 2.8.5 transitivePeerDependencies: - supports-color - socks@2.8.4: + socks@2.8.5: dependencies: ip-address: 9.0.5 smart-buffer: 4.2.0 @@ -8258,7 +7703,12 @@ snapshots: dependencies: bl: 5.1.0 - streamx@2.22.0: + stop-iteration-iterator@1.1.0: + dependencies: + es-errors: 1.3.0 + internal-slot: 1.1.0 + + streamx@2.22.1: dependencies: fast-fifo: 1.3.2 text-decoder: 1.2.3 @@ -8277,7 +7727,7 @@ snapshots: call-bound: 1.0.4 define-data-property: 1.1.4 define-properties: 1.2.1 - es-abstract: 1.23.9 + es-abstract: 1.24.0 es-object-atoms: 1.1.1 has-property-descriptors: 1.0.2 @@ -8313,32 +7763,21 @@ snapshots: strip-bom-string@1.0.0: {} - style-to-js@1.1.16: + style-to-js@1.1.17: dependencies: - style-to-object: 1.0.8 + style-to-object: 1.0.9 style-to-object@0.4.4: dependencies: inline-style-parser: 0.1.1 - style-to-object@1.0.8: + style-to-object@1.0.9: dependencies: inline-style-parser: 0.2.4 - supports-color@5.5.0: + tar-fs@3.0.10: dependencies: - has-flag: 3.0.0 - - tar-fs@2.1.1: - dependencies: - chownr: 1.1.4 - mkdirp-classic: 0.5.3 - pump: 3.0.2 - tar-stream: 2.2.0 - - tar-fs@3.0.8: - dependencies: - pump: 3.0.2 + pump: 3.0.3 tar-stream: 3.1.7 optionalDependencies: bare-fs: 4.1.5 @@ -8346,19 +7785,11 @@ snapshots: transitivePeerDependencies: - bare-buffer - tar-stream@2.2.0: - dependencies: - bl: 4.1.0 - end-of-stream: 1.4.4 - fs-constants: 1.0.0 - inherits: 2.0.4 - readable-stream: 3.6.2 - tar-stream@3.1.7: dependencies: b4a: 1.6.7 fast-fifo: 1.3.2 - streamx: 2.22.0 + streamx: 2.22.1 tar@6.2.1: dependencies: @@ -8387,6 +7818,12 @@ snapshots: tr46@0.0.3: {} + traverse@0.6.11: + dependencies: + gopd: 1.2.0 + typedarray.prototype.slice: 1.0.5 + which-typed-array: 1.1.19 + trim-lines@3.0.1: {} trim-trailing-lines@2.1.0: {} @@ -8439,6 +7876,17 @@ snapshots: possible-typed-array-names: 1.1.0 reflect.getprototypeof: 1.0.10 + typedarray.prototype.slice@1.0.5: + dependencies: + call-bind: 1.0.8 + define-properties: 1.2.1 + es-abstract: 1.24.0 + es-errors: 1.3.0 + get-proto: 1.0.1 + math-intrinsics: 1.1.0 + typed-array-buffer: 1.0.3 + typed-array-byte-offset: 1.0.4 + unbox-primitive@1.1.0: dependencies: call-bound: 1.0.4 @@ -8453,10 +7901,7 @@ snapshots: undici-types@5.26.5: {} - undici-types@6.19.8: - optional: true - - undici-types@6.21.0: {} + undici-types@7.8.0: {} unherit@3.0.1: {} @@ -8738,8 +8183,6 @@ snapshots: wrappy@1.0.2: {} - ws@8.13.0: {} - ws@8.17.1: {} ws@8.18.2: {} @@ -8759,16 +8202,6 @@ snapshots: yargs-parser@21.1.1: {} - yargs@17.7.1: - dependencies: - cliui: 8.0.1 - escalade: 3.2.0 - get-caller-file: 2.0.5 - require-directory: 2.1.1 - string-width: 4.2.3 - y18n: 5.0.8 - yargs-parser: 21.1.1 - yargs@17.7.2: dependencies: cliui: 8.0.1 @@ -8786,16 +8219,12 @@ snapshots: yoctocolors-cjs@2.1.2: {} - zod-to-json-schema@3.23.3(zod@3.23.8): + zod-to-json-schema@3.24.6(zod@3.25.67): dependencies: - zod: 3.23.8 - - zod-to-json-schema@3.24.5(zod@3.24.4): - dependencies: - zod: 3.24.4 + zod: 3.25.67 zod@3.23.8: {} - zod@3.24.4: {} + zod@3.25.67: {} zwitch@2.0.4: {} diff --git a/docs/v1/README.md b/docs/v1/README.md new file mode 100644 index 00000000..59d1aa49 --- /dev/null +++ b/docs/v1/README.md @@ -0,0 +1 @@ +This subdirectory contains the app/user/session paradigm documentation for Honcho (Honcho v1.1.0). \ No newline at end of file diff --git a/docs/api-reference/endpoint/apps/create-app.mdx b/docs/v1/api-reference/endpoint/apps/create-app.mdx similarity index 100% rename from docs/api-reference/endpoint/apps/create-app.mdx rename to docs/v1/api-reference/endpoint/apps/create-app.mdx diff --git a/docs/api-reference/endpoint/apps/get-all-apps.mdx b/docs/v1/api-reference/endpoint/apps/get-all-apps.mdx similarity index 100% rename from docs/api-reference/endpoint/apps/get-all-apps.mdx rename to docs/v1/api-reference/endpoint/apps/get-all-apps.mdx diff --git a/docs/api-reference/endpoint/apps/get-app-by-name.mdx b/docs/v1/api-reference/endpoint/apps/get-app-by-name.mdx similarity index 100% rename from docs/api-reference/endpoint/apps/get-app-by-name.mdx rename to docs/v1/api-reference/endpoint/apps/get-app-by-name.mdx diff --git a/docs/api-reference/endpoint/apps/get-app.mdx b/docs/v1/api-reference/endpoint/apps/get-app.mdx similarity index 100% rename from docs/api-reference/endpoint/apps/get-app.mdx rename to docs/v1/api-reference/endpoint/apps/get-app.mdx diff --git a/docs/api-reference/endpoint/apps/get-or-create-app.mdx b/docs/v1/api-reference/endpoint/apps/get-or-create-app.mdx similarity index 100% rename from docs/api-reference/endpoint/apps/get-or-create-app.mdx rename to docs/v1/api-reference/endpoint/apps/get-or-create-app.mdx diff --git a/docs/api-reference/endpoint/apps/update-app.mdx b/docs/v1/api-reference/endpoint/apps/update-app.mdx similarity index 100% rename from docs/api-reference/endpoint/apps/update-app.mdx rename to docs/v1/api-reference/endpoint/apps/update-app.mdx diff --git a/docs/api-reference/endpoint/collections/create-collection.mdx b/docs/v1/api-reference/endpoint/collections/create-collection.mdx similarity index 100% rename from docs/api-reference/endpoint/collections/create-collection.mdx rename to docs/v1/api-reference/endpoint/collections/create-collection.mdx diff --git a/docs/api-reference/endpoint/collections/delete-collection.mdx b/docs/v1/api-reference/endpoint/collections/delete-collection.mdx similarity index 100% rename from docs/api-reference/endpoint/collections/delete-collection.mdx rename to docs/v1/api-reference/endpoint/collections/delete-collection.mdx diff --git a/docs/api-reference/endpoint/collections/get-collection-by-name.mdx b/docs/v1/api-reference/endpoint/collections/get-collection-by-name.mdx similarity index 100% rename from docs/api-reference/endpoint/collections/get-collection-by-name.mdx rename to docs/v1/api-reference/endpoint/collections/get-collection-by-name.mdx diff --git a/docs/api-reference/endpoint/collections/get-collection.mdx b/docs/v1/api-reference/endpoint/collections/get-collection.mdx similarity index 100% rename from docs/api-reference/endpoint/collections/get-collection.mdx rename to docs/v1/api-reference/endpoint/collections/get-collection.mdx diff --git a/docs/api-reference/endpoint/collections/get-collections.mdx b/docs/v1/api-reference/endpoint/collections/get-collections.mdx similarity index 100% rename from docs/api-reference/endpoint/collections/get-collections.mdx rename to docs/v1/api-reference/endpoint/collections/get-collections.mdx diff --git a/docs/api-reference/endpoint/collections/update-collection.mdx b/docs/v1/api-reference/endpoint/collections/update-collection.mdx similarity index 100% rename from docs/api-reference/endpoint/collections/update-collection.mdx rename to docs/v1/api-reference/endpoint/collections/update-collection.mdx diff --git a/docs/api-reference/endpoint/documents/create-document.mdx b/docs/v1/api-reference/endpoint/documents/create-document.mdx similarity index 100% rename from docs/api-reference/endpoint/documents/create-document.mdx rename to docs/v1/api-reference/endpoint/documents/create-document.mdx diff --git a/docs/api-reference/endpoint/documents/delete-document.mdx b/docs/v1/api-reference/endpoint/documents/delete-document.mdx similarity index 100% rename from docs/api-reference/endpoint/documents/delete-document.mdx rename to docs/v1/api-reference/endpoint/documents/delete-document.mdx diff --git a/docs/api-reference/endpoint/documents/get-document.mdx b/docs/v1/api-reference/endpoint/documents/get-document.mdx similarity index 100% rename from docs/api-reference/endpoint/documents/get-document.mdx rename to docs/v1/api-reference/endpoint/documents/get-document.mdx diff --git a/docs/api-reference/endpoint/documents/get-documents.mdx b/docs/v1/api-reference/endpoint/documents/get-documents.mdx similarity index 100% rename from docs/api-reference/endpoint/documents/get-documents.mdx rename to docs/v1/api-reference/endpoint/documents/get-documents.mdx diff --git a/docs/api-reference/endpoint/documents/query-documents.mdx b/docs/v1/api-reference/endpoint/documents/query-documents.mdx similarity index 100% rename from docs/api-reference/endpoint/documents/query-documents.mdx rename to docs/v1/api-reference/endpoint/documents/query-documents.mdx diff --git a/docs/api-reference/endpoint/documents/update-document.mdx b/docs/v1/api-reference/endpoint/documents/update-document.mdx similarity index 100% rename from docs/api-reference/endpoint/documents/update-document.mdx rename to docs/v1/api-reference/endpoint/documents/update-document.mdx diff --git a/docs/api-reference/endpoint/keys/create-key.mdx b/docs/v1/api-reference/endpoint/keys/create-key.mdx similarity index 100% rename from docs/api-reference/endpoint/keys/create-key.mdx rename to docs/v1/api-reference/endpoint/keys/create-key.mdx diff --git a/docs/api-reference/endpoint/messages/create-batch-messages-for-session.mdx b/docs/v1/api-reference/endpoint/messages/create-batch-messages-for-session.mdx similarity index 100% rename from docs/api-reference/endpoint/messages/create-batch-messages-for-session.mdx rename to docs/v1/api-reference/endpoint/messages/create-batch-messages-for-session.mdx diff --git a/docs/api-reference/endpoint/messages/create-message-for-session.mdx b/docs/v1/api-reference/endpoint/messages/create-message-for-session.mdx similarity index 100% rename from docs/api-reference/endpoint/messages/create-message-for-session.mdx rename to docs/v1/api-reference/endpoint/messages/create-message-for-session.mdx diff --git a/docs/api-reference/endpoint/messages/get-message.mdx b/docs/v1/api-reference/endpoint/messages/get-message.mdx similarity index 100% rename from docs/api-reference/endpoint/messages/get-message.mdx rename to docs/v1/api-reference/endpoint/messages/get-message.mdx diff --git a/docs/api-reference/endpoint/messages/get-messages.mdx b/docs/v1/api-reference/endpoint/messages/get-messages.mdx similarity index 100% rename from docs/api-reference/endpoint/messages/get-messages.mdx rename to docs/v1/api-reference/endpoint/messages/get-messages.mdx diff --git a/docs/api-reference/endpoint/messages/update-message.mdx b/docs/v1/api-reference/endpoint/messages/update-message.mdx similarity index 100% rename from docs/api-reference/endpoint/messages/update-message.mdx rename to docs/v1/api-reference/endpoint/messages/update-message.mdx diff --git a/docs/api-reference/endpoint/metamessages/create-metamessage.mdx b/docs/v1/api-reference/endpoint/metamessages/create-metamessage.mdx similarity index 100% rename from docs/api-reference/endpoint/metamessages/create-metamessage.mdx rename to docs/v1/api-reference/endpoint/metamessages/create-metamessage.mdx diff --git a/docs/api-reference/endpoint/metamessages/get-metamessage.mdx b/docs/v1/api-reference/endpoint/metamessages/get-metamessage.mdx similarity index 100% rename from docs/api-reference/endpoint/metamessages/get-metamessage.mdx rename to docs/v1/api-reference/endpoint/metamessages/get-metamessage.mdx diff --git a/docs/api-reference/endpoint/metamessages/get-metamessages.mdx b/docs/v1/api-reference/endpoint/metamessages/get-metamessages.mdx similarity index 100% rename from docs/api-reference/endpoint/metamessages/get-metamessages.mdx rename to docs/v1/api-reference/endpoint/metamessages/get-metamessages.mdx diff --git a/docs/api-reference/endpoint/metamessages/update-metamessage.mdx b/docs/v1/api-reference/endpoint/metamessages/update-metamessage.mdx similarity index 100% rename from docs/api-reference/endpoint/metamessages/update-metamessage.mdx rename to docs/v1/api-reference/endpoint/metamessages/update-metamessage.mdx diff --git a/docs/api-reference/endpoint/sessions/chat-stream.mdx b/docs/v1/api-reference/endpoint/sessions/chat-stream.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/chat-stream.mdx rename to docs/v1/api-reference/endpoint/sessions/chat-stream.mdx diff --git a/docs/api-reference/endpoint/sessions/chat.mdx b/docs/v1/api-reference/endpoint/sessions/chat.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/chat.mdx rename to docs/v1/api-reference/endpoint/sessions/chat.mdx diff --git a/docs/api-reference/endpoint/sessions/clone-session.mdx b/docs/v1/api-reference/endpoint/sessions/clone-session.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/clone-session.mdx rename to docs/v1/api-reference/endpoint/sessions/clone-session.mdx diff --git a/docs/api-reference/endpoint/sessions/create-session.mdx b/docs/v1/api-reference/endpoint/sessions/create-session.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/create-session.mdx rename to docs/v1/api-reference/endpoint/sessions/create-session.mdx diff --git a/docs/api-reference/endpoint/sessions/delete-session.mdx b/docs/v1/api-reference/endpoint/sessions/delete-session.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/delete-session.mdx rename to docs/v1/api-reference/endpoint/sessions/delete-session.mdx diff --git a/docs/api-reference/endpoint/sessions/get-chat-stream.mdx b/docs/v1/api-reference/endpoint/sessions/get-chat-stream.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/get-chat-stream.mdx rename to docs/v1/api-reference/endpoint/sessions/get-chat-stream.mdx diff --git a/docs/api-reference/endpoint/sessions/get-session.mdx b/docs/v1/api-reference/endpoint/sessions/get-session.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/get-session.mdx rename to docs/v1/api-reference/endpoint/sessions/get-session.mdx diff --git a/docs/api-reference/endpoint/sessions/get-sessions.mdx b/docs/v1/api-reference/endpoint/sessions/get-sessions.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/get-sessions.mdx rename to docs/v1/api-reference/endpoint/sessions/get-sessions.mdx diff --git a/docs/api-reference/endpoint/sessions/update-session.mdx b/docs/v1/api-reference/endpoint/sessions/update-session.mdx similarity index 100% rename from docs/api-reference/endpoint/sessions/update-session.mdx rename to docs/v1/api-reference/endpoint/sessions/update-session.mdx diff --git a/docs/api-reference/endpoint/users/create-user.mdx b/docs/v1/api-reference/endpoint/users/create-user.mdx similarity index 100% rename from docs/api-reference/endpoint/users/create-user.mdx rename to docs/v1/api-reference/endpoint/users/create-user.mdx diff --git a/docs/api-reference/endpoint/users/get-or-create-user.mdx b/docs/v1/api-reference/endpoint/users/get-or-create-user.mdx similarity index 100% rename from docs/api-reference/endpoint/users/get-or-create-user.mdx rename to docs/v1/api-reference/endpoint/users/get-or-create-user.mdx diff --git a/docs/api-reference/endpoint/users/get-user-by-name.mdx b/docs/v1/api-reference/endpoint/users/get-user-by-name.mdx similarity index 100% rename from docs/api-reference/endpoint/users/get-user-by-name.mdx rename to docs/v1/api-reference/endpoint/users/get-user-by-name.mdx diff --git a/docs/api-reference/endpoint/users/get-user.mdx b/docs/v1/api-reference/endpoint/users/get-user.mdx similarity index 100% rename from docs/api-reference/endpoint/users/get-user.mdx rename to docs/v1/api-reference/endpoint/users/get-user.mdx diff --git a/docs/api-reference/endpoint/users/get-users.mdx b/docs/v1/api-reference/endpoint/users/get-users.mdx similarity index 100% rename from docs/api-reference/endpoint/users/get-users.mdx rename to docs/v1/api-reference/endpoint/users/get-users.mdx diff --git a/docs/api-reference/endpoint/users/update-user.mdx b/docs/v1/api-reference/endpoint/users/update-user.mdx similarity index 100% rename from docs/api-reference/endpoint/users/update-user.mdx rename to docs/v1/api-reference/endpoint/users/update-user.mdx diff --git a/docs/api-reference/introduction.mdx b/docs/v1/api-reference/introduction.mdx similarity index 93% rename from docs/api-reference/introduction.mdx rename to docs/v1/api-reference/introduction.mdx index 1b6298b3..2ded7a6e 100644 --- a/docs/api-reference/introduction.mdx +++ b/docs/v1/api-reference/introduction.mdx @@ -4,7 +4,7 @@ title: 'Introduction' This section of the documentation goes over all of the different API endpoints available in the Honcho Server. They largely map to CRUD operations for each of the core primitives. For information about the core -primitives consult [Architecture](/getting-started/Architecture) +primitives consult [Architecture](/v1/getting-started/architecture) This part of the documentation is autogenerated for the most up to date and accurate API spec view the diff --git a/docs/contributing/deploying.mdx b/docs/v1/contributing/deploying.mdx similarity index 100% rename from docs/contributing/deploying.mdx rename to docs/v1/contributing/deploying.mdx diff --git a/docs/contributing/error-handling.mdx b/docs/v1/contributing/error-handling.mdx similarity index 100% rename from docs/contributing/error-handling.mdx rename to docs/v1/contributing/error-handling.mdx diff --git a/docs/contributing/guidelines.mdx b/docs/v1/contributing/guidelines.mdx similarity index 100% rename from docs/contributing/guidelines.mdx rename to docs/v1/contributing/guidelines.mdx diff --git a/docs/contributing/license.mdx b/docs/v1/contributing/license.mdx similarity index 100% rename from docs/contributing/license.mdx rename to docs/v1/contributing/license.mdx diff --git a/docs/contributing/self-hosting.mdx b/docs/v1/contributing/self-hosting.mdx similarity index 100% rename from docs/contributing/self-hosting.mdx rename to docs/v1/contributing/self-hosting.mdx diff --git a/docs/getting-started/architecture.mdx b/docs/v1/getting-started/architecture.mdx similarity index 100% rename from docs/getting-started/architecture.mdx rename to docs/v1/getting-started/architecture.mdx diff --git a/docs/getting-started/development.mdx b/docs/v1/getting-started/development.mdx similarity index 98% rename from docs/getting-started/development.mdx rename to docs/v1/getting-started/development.mdx index 87830089..b54faf5b 100644 --- a/docs/getting-started/development.mdx +++ b/docs/v1/getting-started/development.mdx @@ -95,4 +95,4 @@ Repeat step 3. -Curious about what changed in a CLI version? [Check out the CLI changelog.](/changelog/command-line) +Curious about what changed in a CLI version? [Check out the CLI changelog.](/changelog/introduction) \ No newline at end of file diff --git a/docs/getting-started/introduction.mdx b/docs/v1/getting-started/introduction.mdx similarity index 95% rename from docs/getting-started/introduction.mdx rename to docs/v1/getting-started/introduction.mdx index 0da4356a..2c69f514 100644 --- a/docs/getting-started/introduction.mdx +++ b/docs/v1/getting-started/introduction.mdx @@ -24,14 +24,14 @@ Get started below! Quickly set up a local environment to interface with the Honcho API Get an overview of the different primitives and structure of Honcho diff --git a/docs/getting-started/quickstart.mdx b/docs/v1/getting-started/quickstart.mdx similarity index 99% rename from docs/getting-started/quickstart.mdx rename to docs/v1/getting-started/quickstart.mdx index e6484ea1..a4726715 100644 --- a/docs/getting-started/quickstart.mdx +++ b/docs/v1/getting-started/quickstart.mdx @@ -130,4 +130,4 @@ for await (const session of honcho.apps.users.sessions.list(app.id, user.id)) { This is a super simple overview of how to get up and running with the Honcho SDK. We covered the basic methods for reading and writing from the hosted storage service. Next, we'll cover alternative forms of hosting Honcho. -For a more detailed look at the SDK check out the SDK reference [here](/api-reference). +For a more detailed look at the SDK check out the SDK reference [here](/v1/api-reference). diff --git a/docs/guides/dialectic-endpoint.mdx b/docs/v1/guides/dialectic-endpoint.mdx similarity index 100% rename from docs/guides/dialectic-endpoint.mdx rename to docs/v1/guides/dialectic-endpoint.mdx diff --git a/docs/guides/discord.mdx b/docs/v1/guides/discord.mdx similarity index 98% rename from docs/guides/discord.mdx rename to docs/v1/guides/discord.mdx index 797f15c2..939f5441 100644 --- a/docs/guides/discord.mdx +++ b/docs/v1/guides/discord.mdx @@ -154,7 +154,7 @@ def get_session(user_id, location_id, create=False): # Query for *active* sessions with both user_id and location_id sessions_iter = honcho.apps.users.sessions.list( - app_id=app.id, user_id=user_id, reverse=True, is_active=True + app_id=app.id, user_id=user_id, reverse=True, filter={"is_active": True} ) sessions = list(session for session in sessions_iter) @@ -175,7 +175,7 @@ def get_session(user_id, location_id, create=False): return None, False ``` -You can see the `list` method on the sessions object similarly returns an iterable. This is a common pattern in Honcho--use list comprehension to create your new python list. Then loop through those session objects to find the appropriate `location_id` in the metadata, and if none are found then create a new session. You'll also notice we list messages in `reverse=True` order--this means you will get the most recent ones first. We also support native filtering by active sessions. +You can see the `list` method on the sessions object similarly returns an iterable. This is a common pattern in Honcho--use list comprehension to create your new python list. Then loop through those session objects to find the appropriate `location_id` in the metadata, and if none are found then create a new session. You'll also notice we list messages in `reverse=True` order--this means you will get the most recent ones first. We also support native filtering by active sessions and any other fields or user-defined metadata on the session object. The next helper function we create is called `llm`. This simplifies constructing the chat message object we're going to send to the inference provider. diff --git a/docs/guides/honcho-mcp.mdx b/docs/v1/guides/honcho-mcp.mdx similarity index 100% rename from docs/guides/honcho-mcp.mdx rename to docs/v1/guides/honcho-mcp.mdx diff --git a/docs/guides/overview.mdx b/docs/v1/guides/overview.mdx similarity index 100% rename from docs/guides/overview.mdx rename to docs/v1/guides/overview.mdx diff --git a/docs/guides/simple-memory.mdx b/docs/v1/guides/simple-memory.mdx similarity index 100% rename from docs/guides/simple-memory.mdx rename to docs/v1/guides/simple-memory.mdx diff --git a/docs/guides/streaming-response.mdx b/docs/v1/guides/streaming-response.mdx similarity index 100% rename from docs/guides/streaming-response.mdx rename to docs/v1/guides/streaming-response.mdx diff --git a/docs/v1/openapi.json b/docs/v1/openapi.json new file mode 100644 index 00000000..643f0151 --- /dev/null +++ b/docs/v1/openapi.json @@ -0,0 +1,5172 @@ +{ + "openapi": "3.1.0", + "info": { + "title": "Honcho API", + "summary": "The Identity Layer for the Agentic World", + "description": "Honcho is a platform for giving agents user-centric memory and social cognition", + "contact": { + "name": "Plastic Labs", + "url": "https://honcho.dev/", + "email": "hello@plasticlabs.ai" + }, + "version": "1.1.0" + }, + "servers": [ + { + "url": "http://localhost:8000", + "description": "Local Development Server" + }, + { + "url": "https://demo.honcho.dev", + "description": "Demo Server" + }, + { + "url": "https://api.honcho.dev", + "description": "Production SaaS Platform" + } + ], + "paths": { + "/v1/apps": { + "get": { + "tags": [ + "apps" + ], + "summary": "Get App", + "description": "Get an App by ID.\n\nIf app_id is provided as a query parameter, it uses that (must match JWT app_id).\nOtherwise, it uses the app_id from the JWT token.", + "operationId": "get_app_v1_apps_get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "App ID to retrieve. If not provided, uses JWT token", + "title": "App Id" + }, + "description": "App ID to retrieve. If not provided, uses JWT token" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/App" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const app = await client.apps.get();\n\n console.log(app.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\napp = client.apps.get()\nprint(app.id)" + } + ] + }, + "post": { + "tags": [ + "apps" + ], + "summary": "Create App", + "description": "Create a new App", + "operationId": "create_app_v1_apps_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AppCreate", + "description": "App creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/App" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const app = await client.apps.create({ name: 'x' });\n\n console.log(app.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\napp = client.apps.create(\n name=\"x\",\n)\nprint(app.id)" + } + ] + } + }, + "/v1/apps/list": { + "post": { + "tags": [ + "apps" + ], + "summary": "Get All Apps", + "description": "Get all Apps", + "operationId": "get_all_apps_v1_apps_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/AppGet" + }, + { + "type": "null" + } + ], + "description": "Filtering and pagination options for the apps list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_App_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const app of client.apps.list()) {\n console.log(app.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.list()\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/name/{name}": { + "get": { + "tags": [ + "apps" + ], + "summary": "Get App By Name", + "description": "Get an App by Name", + "operationId": "get_app_by_name_v1_apps_name__name__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "Name of the app to retrieve", + "title": "Name" + }, + "description": "Name of the app to retrieve" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/App" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const app = await client.apps.getByName('name');\n\n console.log(app.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\napp = client.apps.get_by_name(\n \"name\",\n)\nprint(app.id)" + } + ] + } + }, + "/v1/apps/get_or_create/{name}": { + "get": { + "tags": [ + "apps" + ], + "summary": "Get Or Create App", + "description": "Get or Create an App", + "operationId": "get_or_create_app_v1_apps_get_or_create__name__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "Name of the app to get or create", + "title": "Name" + }, + "description": "Name of the app to get or create" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/App" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const app = await client.apps.getOrCreate('name');\n\n console.log(app.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\napp = client.apps.get_or_create(\n \"name\",\n)\nprint(app.id)" + } + ] + } + }, + "/v1/apps/{app_id}": { + "put": { + "tags": [ + "apps" + ], + "summary": "Update App", + "description": "Update an App", + "operationId": "update_app_v1_apps__app_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app to update", + "title": "App Id" + }, + "description": "ID of the app to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AppUpdate", + "description": "Updated app parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/App" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const app = await client.apps.update('app_id');\n\n console.log(app.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\napp = client.apps.update(\n app_id=\"app_id\",\n)\nprint(app.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users": { + "post": { + "tags": [ + "users" + ], + "summary": "Create User", + "description": "Create a new User", + "operationId": "create_user_v1_apps__app_id__users_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UserCreate", + "description": "User creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/User" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const user = await client.apps.users.create('app_id', { name: 'x' });\n\n console.log(user.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nuser = client.apps.users.create(\n app_id=\"app_id\",\n name=\"x\",\n)\nprint(user.id)" + } + ] + }, + "get": { + "tags": [ + "users" + ], + "summary": "Get User", + "description": "Get a User by ID\n\nIf user_id is provided as a query parameter, it uses that (must match JWT app_id).\nOtherwise, it uses the user_id from the JWT token.", + "operationId": "get_user_v1_apps__app_id__users_get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "User ID to retrieve. If not provided, users JWT token", + "title": "User Id" + }, + "description": "User ID to retrieve. If not provided, users JWT token" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/User" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const user = await client.apps.users.get('app_id');\n\n console.log(user.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nuser = client.apps.users.get(\n app_id=\"app_id\",\n)\nprint(user.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/list": { + "post": { + "tags": [ + "users" + ], + "summary": "Get Users", + "description": "Get All Users for an App", + "operationId": "get_users_v1_apps__app_id__users_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "type": "boolean", + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/UserGet" + }, + { + "type": "null" + } + ], + "description": "Filtering options for the users list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_User_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const user of client.apps.users.list('app_id')) {\n console.log(user.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.users.list(\n app_id=\"app_id\",\n)\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/name/{name}": { + "get": { + "tags": [ + "users" + ], + "summary": "Get User By Name", + "description": "Get a User by name", + "operationId": "get_user_by_name_v1_apps__app_id__users_name__name__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "Name of the user to retrieve", + "title": "Name" + }, + "description": "Name of the user to retrieve" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/User" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const user = await client.apps.users.getByName('app_id', 'name');\n\n console.log(user.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nuser = client.apps.users.get_by_name(\n name=\"name\",\n app_id=\"app_id\",\n)\nprint(user.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/get_or_create/{name}": { + "get": { + "tags": [ + "users" + ], + "summary": "Get Or Create User", + "description": "Get a User or create a new one by the input name", + "operationId": "get_or_create_user_v1_apps__app_id__users_get_or_create__name__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "Name of the user to get or create", + "title": "Name" + }, + "description": "Name of the user to get or create" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/User" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const user = await client.apps.users.getOrCreate('app_id', 'name');\n\n console.log(user.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nuser = client.apps.users.get_or_create(\n name=\"name\",\n app_id=\"app_id\",\n)\nprint(user.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}": { + "put": { + "tags": [ + "users" + ], + "summary": "Update User", + "description": "Update a User's name and/or metadata", + "operationId": "update_user_v1_apps__app_id__users__user_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user to update", + "title": "User Id" + }, + "description": "ID of the user to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UserUpdate", + "description": "Updated user parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/User" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const user = await client.apps.users.update('app_id', 'user_id');\n\n console.log(user.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nuser = client.apps.users.update(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\nprint(user.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions": { + "get": { + "tags": [ + "sessions" + ], + "summary": "Get Session", + "description": "Get a specific session for a user.\n\nIf session_id is provided as a query parameter, it uses that (must match JWT session_id).\nOtherwise, it uses the session_id from the JWT token.", + "operationId": "get_session_v1_apps__app_id__users__user_id__sessions_get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "Session ID to retrieve. If not provided, uses JWT token", + "title": "Session Id" + }, + "description": "Session ID to retrieve. If not provided, uses JWT token" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Session" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const session = await client.apps.users.sessions.get('app_id', 'user_id');\n\n console.log(session.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nsession = client.apps.users.sessions.get(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\nprint(session.id)" + } + ] + }, + "post": { + "tags": [ + "sessions" + ], + "summary": "Create Session", + "description": "Create a Session for a User", + "operationId": "create_session_v1_apps__app_id__users__user_id__sessions_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SessionCreate", + "description": "Session creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Session" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const session = await client.apps.users.sessions.create('app_id', 'user_id');\n\n console.log(session.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nsession = client.apps.users.sessions.create(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\nprint(session.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/list": { + "post": { + "tags": [ + "sessions" + ], + "summary": "Get Sessions", + "description": "Get All Sessions for a User", + "operationId": "get_sessions_v1_apps__app_id__users__user_id__sessions_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/SessionGet" + }, + { + "type": "null" + } + ], + "description": "Filtering and pagination options for the sessions list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_Session_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const session of client.apps.users.sessions.list('app_id', 'user_id')) {\n console.log(session.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.users.sessions.list(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}": { + "put": { + "tags": [ + "sessions" + ], + "summary": "Update Session", + "description": "Update the metadata of a Session", + "operationId": "update_session_v1_apps__app_id__users__user_id__sessions__session_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session to update", + "title": "Session Id" + }, + "description": "ID of the session to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SessionUpdate", + "description": "Updated session parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Session" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const session = await client.apps.users.sessions.update('app_id', 'user_id', 'session_id', {\n metadata: { foo: 'bar' },\n });\n\n console.log(session.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nsession = client.apps.users.sessions.update(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n metadata={\n \"foo\": \"bar\"\n },\n)\nprint(session.id)" + } + ] + }, + "delete": { + "tags": [ + "sessions" + ], + "summary": "Delete Session", + "description": "Delete a session by marking it as inactive", + "operationId": "delete_session_v1_apps__app_id__users__user_id__sessions__session_id__delete", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session to delete", + "title": "Session Id" + }, + "description": "ID of the session to delete" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const session = await client.apps.users.sessions.delete('app_id', 'user_id', 'session_id');\n\n console.log(session);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nsession = client.apps.users.sessions.delete(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(session)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}/chat": { + "post": { + "tags": [ + "sessions" + ], + "summary": "Chat", + "description": "Chat with the Dialectic API", + "operationId": "chat_v1_apps__app_id__users__user_id__sessions__session_id__chat_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session", + "title": "Session Id" + }, + "description": "ID of the session" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DialecticOptions", + "description": "Dialectic Endpoint Parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Response to a question informed by Honcho's User Representation", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DialecticResponse" + } + }, + "text/event-stream": {} + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const dialecticResponse = await client.apps.users.sessions.chat('app_id', 'user_id', 'session_id', {\n queries: 'string',\n });\n\n console.log(dialecticResponse.content);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ndialectic_response = client.apps.users.sessions.chat(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n queries=\"string\",\n)\nprint(dialectic_response.content)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}/clone": { + "get": { + "tags": [ + "sessions" + ], + "summary": "Clone Session", + "description": "Clone a session, optionally up to a specific message", + "operationId": "clone_session_v1_apps__app_id__users__user_id__sessions__session_id__clone_get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session to clone", + "title": "Session Id" + }, + "description": "ID of the session to clone" + }, + { + "name": "message_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "Message ID to cut off the clone at", + "title": "Message Id" + }, + "description": "Message ID to cut off the clone at" + }, + { + "name": "deep_copy", + "in": "query", + "required": false, + "schema": { + "type": "boolean", + "description": "Whether to deep copy metamessages", + "default": false, + "title": "Deep Copy" + }, + "description": "Whether to deep copy metamessages" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Session" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const session = await client.apps.users.sessions.clone('app_id', 'user_id', 'session_id');\n\n console.log(session.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nsession = client.apps.users.sessions.clone(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(session.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}/messages": { + "post": { + "tags": [ + "messages" + ], + "summary": "Create Message For Session", + "description": "Adds a message to a session", + "operationId": "create_message_for_session_v1_apps__app_id__users__user_id__sessions__session_id__messages_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session", + "title": "Session Id" + }, + "description": "ID of the session" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MessageCreate", + "description": "Message creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Message" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const message = await client.apps.users.sessions.messages.create('app_id', 'user_id', 'session_id', {\n content: 'content',\n is_user: true,\n });\n\n console.log(message.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmessage = client.apps.users.sessions.messages.create(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n content=\"content\",\n is_user=True,\n)\nprint(message.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}/messages/batch": { + "post": { + "tags": [ + "messages" + ], + "summary": "Create Batch Messages For Session", + "description": "Bulk create messages for a session while maintaining order. Maximum 100 messages per batch.", + "operationId": "create_batch_messages_for_session_v1_apps__app_id__users__user_id__sessions__session_id__messages_batch_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session", + "title": "Session Id" + }, + "description": "ID of the session" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MessageBatchCreate", + "description": "Batch of messages to create" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Message" + }, + "title": "Response Create Batch Messages For Session V1 Apps App Id Users User Id Sessions Session Id Messages Batch Post" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const messages = await client.apps.users.sessions.messages.batch('app_id', 'user_id', 'session_id', {\n messages: [{ content: 'content', is_user: true }],\n });\n\n console.log(messages);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmessages = client.apps.users.sessions.messages.batch(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n messages=[{\n \"content\": \"content\",\n \"is_user\": True,\n }],\n)\nprint(messages)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}/messages/list": { + "post": { + "tags": [ + "messages" + ], + "summary": "Get Messages", + "description": "Get all messages for a session", + "operationId": "get_messages_v1_apps__app_id__users__user_id__sessions__session_id__messages_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session", + "title": "Session Id" + }, + "description": "ID of the session" + }, + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/MessageGet" + }, + { + "type": "null" + } + ], + "description": "Filtering options for the messages list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_Message_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const message of client.apps.users.sessions.messages.list('app_id', 'user_id', 'session_id')) {\n console.log(message.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.users.sessions.messages.list(\n session_id=\"session_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/sessions/{session_id}/messages/{message_id}": { + "get": { + "tags": [ + "messages" + ], + "summary": "Get Message", + "description": "Get a Message by ID", + "operationId": "get_message_v1_apps__app_id__users__user_id__sessions__session_id__messages__message_id__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session", + "title": "Session Id" + }, + "description": "ID of the session" + }, + { + "name": "message_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the message to retrieve", + "title": "Message Id" + }, + "description": "ID of the message to retrieve" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Message" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const message = await client.apps.users.sessions.messages.get(\n 'app_id',\n 'user_id',\n 'session_id',\n 'message_id',\n );\n\n console.log(message.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmessage = client.apps.users.sessions.messages.get(\n message_id=\"message_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n session_id=\"session_id\",\n)\nprint(message.id)" + } + ] + }, + "put": { + "tags": [ + "messages" + ], + "summary": "Update Message", + "description": "Update the metadata of a Message", + "operationId": "update_message_v1_apps__app_id__users__user_id__sessions__session_id__messages__message_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "session_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the session", + "title": "Session Id" + }, + "description": "ID of the session" + }, + { + "name": "message_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the message to update", + "title": "Message Id" + }, + "description": "ID of the message to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MessageUpdate", + "description": "Updated message parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Message" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const message = await client.apps.users.sessions.messages.update(\n 'app_id',\n 'user_id',\n 'session_id',\n 'message_id',\n { metadata: { foo: 'bar' } },\n );\n\n console.log(message.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmessage = client.apps.users.sessions.messages.update(\n message_id=\"message_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n session_id=\"session_id\",\n metadata={\n \"foo\": \"bar\"\n },\n)\nprint(message.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/metamessages": { + "post": { + "tags": [ + "metamessages" + ], + "summary": "Create Metamessage", + "description": "Create a new metamessage associated with a user.\nOptionally link to a session and message by providing those IDs in the request body.", + "operationId": "create_metamessage_v1_apps__app_id__users__user_id__metamessages_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MetamessageCreate", + "description": "Metamessage creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Metamessage" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const metamessage = await client.apps.users.metamessages.create('app_id', 'user_id', {\n content: 'content',\n metamessage_type: 'x',\n });\n\n console.log(metamessage.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmetamessage = client.apps.users.metamessages.create(\n user_id=\"user_id\",\n app_id=\"app_id\",\n content=\"content\",\n metamessage_type=\"x\",\n)\nprint(metamessage.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/metamessages/list": { + "post": { + "tags": [ + "metamessages" + ], + "summary": "Get Metamessages", + "description": "Get metamessages with flexible filtering.\n\n- Filter by user only: No additional parameters needed\n- Filter by session: Provide session_id\n- Filter by message: Provide message_id (and session_id)\n- Filter by type: Provide label\n- Filter by metadata: Provide filter object", + "operationId": "get_metamessages_v1_apps__app_id__users__user_id__metamessages_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/MetamessageGet" + }, + { + "type": "null" + } + ], + "description": "Filtering options for the metamessages list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_Metamessage_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const metamessage of client.apps.users.metamessages.list('app_id', 'user_id')) {\n console.log(metamessage.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.users.metamessages.list(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/metamessages/{metamessage_id}": { + "get": { + "tags": [ + "metamessages" + ], + "summary": "Get Metamessage", + "description": "Get a specific Metamessage by ID", + "operationId": "get_metamessage_v1_apps__app_id__users__user_id__metamessages__metamessage_id__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "metamessage_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the metamessage to retrieve", + "title": "Metamessage Id" + }, + "description": "ID of the metamessage to retrieve" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Metamessage" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const metamessage = await client.apps.users.metamessages.get('app_id', 'user_id', 'metamessage_id');\n\n console.log(metamessage.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmetamessage = client.apps.users.metamessages.get(\n metamessage_id=\"metamessage_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(metamessage.id)" + } + ] + }, + "put": { + "tags": [ + "metamessages" + ], + "summary": "Update Metamessage", + "description": "Update a metamessage's metadata, type, or relationships", + "operationId": "update_metamessage_v1_apps__app_id__users__user_id__metamessages__metamessage_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "metamessage_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the metamessage to update", + "title": "Metamessage Id" + }, + "description": "ID of the metamessage to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/MetamessageUpdate", + "description": "Updated metamessage parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Metamessage" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const metamessage = await client.apps.users.metamessages.update('app_id', 'user_id', 'metamessage_id');\n\n console.log(metamessage.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nmetamessage = client.apps.users.metamessages.update(\n metamessage_id=\"metamessage_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(metamessage.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections": { + "get": { + "tags": [ + "collections" + ], + "summary": "Get Collection", + "description": "Get a specific collection for a user.\n\nIf collection_id is provided as a query parameter, it uses that (must match JWT collection_id).\nOtherwise, it uses the collection_id from the JWT token.", + "operationId": "get_collection_v1_apps__app_id__users__user_id__collections_get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "Collection ID to retrieve. If not provided, uses JWT token", + "title": "Collection Id" + }, + "description": "Collection ID to retrieve. If not provided, uses JWT token" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Collection" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const collection = await client.apps.users.collections.get('app_id', 'user_id');\n\n console.log(collection.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ncollection = client.apps.users.collections.get(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\nprint(collection.id)" + } + ] + }, + "post": { + "tags": [ + "collections" + ], + "summary": "Create Collection", + "description": "Create a new Collection", + "operationId": "create_collection_v1_apps__app_id__users__user_id__collections_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CollectionCreate", + "description": "Collection creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Collection" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const collection = await client.apps.users.collections.create('app_id', 'user_id', { name: 'x' });\n\n console.log(collection.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ncollection = client.apps.users.collections.create(\n user_id=\"user_id\",\n app_id=\"app_id\",\n name=\"x\",\n)\nprint(collection.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/list": { + "post": { + "tags": [ + "collections" + ], + "summary": "Get Collections", + "description": "Get All Collections for a User", + "operationId": "get_collections_v1_apps__app_id__users__user_id__collections_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/CollectionGet" + }, + { + "type": "null" + } + ], + "description": "Filtering options for the collections list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_Collection_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const collection of client.apps.users.collections.list('app_id', 'user_id')) {\n console.log(collection.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.users.collections.list(\n user_id=\"user_id\",\n app_id=\"app_id\",\n)\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/name/{name}": { + "get": { + "tags": [ + "collections" + ], + "summary": "Get Collection By Name", + "description": "Get a Collection by Name", + "operationId": "get_collection_by_name_v1_apps__app_id__users__user_id__collections_name__name__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "name", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "Name of the collection to retrieve", + "title": "Name" + }, + "description": "Name of the collection to retrieve" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Collection" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const collection = await client.apps.users.collections.getByName('app_id', 'user_id', 'name');\n\n console.log(collection.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ncollection = client.apps.users.collections.get_by_name(\n name=\"name\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(collection.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/{collection_id}": { + "put": { + "tags": [ + "collections" + ], + "summary": "Update Collection", + "description": "Update a Collection's name or metadata", + "operationId": "update_collection_v1_apps__app_id__users__user_id__collections__collection_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection to update", + "title": "Collection Id" + }, + "description": "ID of the collection to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CollectionUpdate", + "description": "Updated collection parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Collection" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const collection = await client.apps.users.collections.update('app_id', 'user_id', 'collection_id');\n\n console.log(collection.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ncollection = client.apps.users.collections.update(\n collection_id=\"collection_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(collection.id)" + } + ] + }, + "delete": { + "tags": [ + "collections" + ], + "summary": "Delete Collection", + "description": "Delete a Collection and its documents", + "operationId": "delete_collection_v1_apps__app_id__users__user_id__collections__collection_id__delete", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection to delete", + "title": "Collection Id" + }, + "description": "ID of the collection to delete" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const collection = await client.apps.users.collections.delete('app_id', 'user_id', 'collection_id');\n\n console.log(collection);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ncollection = client.apps.users.collections.delete(\n collection_id=\"collection_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\nprint(collection)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/{collection_id}/documents/list": { + "post": { + "tags": [ + "documents" + ], + "summary": "Get Documents", + "description": "Get all of the Documents in a Collection", + "operationId": "get_documents_v1_apps__app_id__users__user_id__collections__collection_id__documents_list_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection", + "title": "Collection Id" + }, + "description": "ID of the collection" + }, + { + "name": "reverse", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "description": "Whether to reverse the order of results", + "default": false, + "title": "Reverse" + }, + "description": "Whether to reverse the order of results" + }, + { + "name": "page", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "minimum": 1, + "description": "Page number", + "default": 1, + "title": "Page" + }, + "description": "Page number" + }, + { + "name": "size", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "maximum": 100, + "minimum": 1, + "description": "Page size", + "default": 50, + "title": "Size" + }, + "description": "Page size" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "anyOf": [ + { + "$ref": "#/components/schemas/DocumentGet" + }, + { + "type": "null" + } + ], + "description": "Filtering options for the documents list", + "title": "Options" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Page_Document_" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n // Automatically fetches more pages as needed.\n for await (const document of client.apps.users.collections.documents.list(\n 'app_id',\n 'user_id',\n 'collection_id',\n )) {\n console.log(document.id);\n }\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\npage = client.apps.users.collections.documents.list(\n collection_id=\"collection_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n)\npage = page.items[0]\nprint(page.id)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/{collection_id}/documents/{document_id}": { + "get": { + "tags": [ + "documents" + ], + "summary": "Get Document", + "description": "Get a document by ID", + "operationId": "get_document_v1_apps__app_id__users__user_id__collections__collection_id__documents__document_id__get", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection", + "title": "Collection Id" + }, + "description": "ID of the collection" + }, + { + "name": "document_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the document to retrieve", + "title": "Document Id" + }, + "description": "ID of the document to retrieve" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Document" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const document = await client.apps.users.collections.documents.get(\n 'app_id',\n 'user_id',\n 'collection_id',\n 'document_id',\n );\n\n console.log(document.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ndocument = client.apps.users.collections.documents.get(\n document_id=\"document_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n collection_id=\"collection_id\",\n)\nprint(document.id)" + } + ] + }, + "put": { + "tags": [ + "documents" + ], + "summary": "Update Document", + "description": "Update the content and/or the metadata of a Document", + "operationId": "update_document_v1_apps__app_id__users__user_id__collections__collection_id__documents__document_id__put", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection", + "title": "Collection Id" + }, + "description": "ID of the collection" + }, + { + "name": "document_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the document to update", + "title": "Document Id" + }, + "description": "ID of the document to update" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DocumentUpdate", + "description": "Updated document parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Document" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const document = await client.apps.users.collections.documents.update(\n 'app_id',\n 'user_id',\n 'collection_id',\n 'document_id',\n );\n\n console.log(document.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ndocument = client.apps.users.collections.documents.update(\n document_id=\"document_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n collection_id=\"collection_id\",\n)\nprint(document.id)" + } + ] + }, + "delete": { + "tags": [ + "documents" + ], + "summary": "Delete Document", + "description": "Delete a Document by ID", + "operationId": "delete_document_v1_apps__app_id__users__user_id__collections__collection_id__documents__document_id__delete", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection", + "title": "Collection Id" + }, + "description": "ID of the collection" + }, + { + "name": "document_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the document to delete", + "title": "Document Id" + }, + "description": "ID of the document to delete" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const document = await client.apps.users.collections.documents.delete(\n 'app_id',\n 'user_id',\n 'collection_id',\n 'document_id',\n );\n\n console.log(document);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ndocument = client.apps.users.collections.documents.delete(\n document_id=\"document_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n collection_id=\"collection_id\",\n)\nprint(document)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/{collection_id}/documents/query": { + "post": { + "tags": [ + "documents" + ], + "summary": "Query Documents", + "description": "Cosine Similarity Search for Documents", + "operationId": "query_documents_v1_apps__app_id__users__user_id__collections__collection_id__documents_query_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection", + "title": "Collection Id" + }, + "description": "ID of the collection" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DocumentQuery", + "description": "Query parameters for document search" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + }, + "title": "Response Query Documents V1 Apps App Id Users User Id Collections Collection Id Documents Query Post" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const documents = await client.apps.users.collections.documents.query(\n 'app_id',\n 'user_id',\n 'collection_id',\n { query: 'x' },\n );\n\n console.log(documents);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ndocuments = client.apps.users.collections.documents.query(\n collection_id=\"collection_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n query=\"x\",\n)\nprint(documents)" + } + ] + } + }, + "/v1/apps/{app_id}/users/{user_id}/collections/{collection_id}/documents": { + "post": { + "tags": [ + "documents" + ], + "summary": "Create Document", + "description": "Embed text as a vector and create a Document", + "operationId": "create_document_v1_apps__app_id__users__user_id__collections__collection_id__documents_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the app", + "title": "App Id" + }, + "description": "ID of the app" + }, + { + "name": "user_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the user", + "title": "User Id" + }, + "description": "ID of the user" + }, + { + "name": "collection_id", + "in": "path", + "required": true, + "schema": { + "type": "string", + "description": "ID of the collection", + "title": "Collection Id" + }, + "description": "ID of the collection" + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/DocumentCreate", + "description": "Document creation parameters" + } + } + } + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Document" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const document = await client.apps.users.collections.documents.create(\n 'app_id',\n 'user_id',\n 'collection_id',\n { content: 'x' },\n );\n\n console.log(document.id);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\ndocument = client.apps.users.collections.documents.create(\n collection_id=\"collection_id\",\n app_id=\"app_id\",\n user_id=\"user_id\",\n content=\"x\",\n)\nprint(document.id)" + } + ] + } + }, + "/v1/keys": { + "post": { + "tags": [ + "keys" + ], + "summary": "Create Key", + "description": "Create a new Key", + "operationId": "create_key_v1_keys_post", + "security": [ + { + "HTTPBearer": [] + }, + {} + ], + "parameters": [ + { + "name": "app_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "ID of the app to scope the key to", + "title": "App Id" + }, + "description": "ID of the app to scope the key to" + }, + { + "name": "user_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "ID of the user to scope the key to", + "title": "User Id" + }, + "description": "ID of the user to scope the key to" + }, + { + "name": "session_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "ID of the session to scope the key to", + "title": "Session Id" + }, + "description": "ID of the session to scope the key to" + }, + { + "name": "collection_id", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "ID of the collection to scope the key to", + "title": "Collection Id" + }, + "description": "ID of the collection to scope the key to" + }, + { + "name": "expires_at", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string", + "format": "date-time" + }, + { + "type": "null" + } + ], + "title": "Expires At" + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + }, + "x-codeSamples": [ + { + "lang": "JavaScript", + "source": "import Honcho from 'honcho-ai';\n\nconst client = new Honcho({\n apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted\n});\n\nasync function main() {\n const key = await client.keys.create();\n\n console.log(key);\n}\n\nmain();" + }, + { + "lang": "Python", + "source": "import os\nfrom honcho import Honcho\n\nclient = Honcho(\n api_key=os.environ.get(\"HONCHO_API_KEY\"), # This is the default and can be omitted\n)\nkey = client.keys.create()\nprint(key)" + } + ] + } + } + }, + "components": { + "schemas": { + "App": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "name": { + "type": "string", + "title": "Name" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + } + }, + "type": "object", + "required": [ + "id", + "name", + "created_at" + ], + "title": "App" + }, + "AppCreate": { + "properties": { + "name": { + "type": "string", + "maxLength": 100, + "minLength": 1, + "title": "Name" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "AppCreate" + }, + "AppGet": { + "properties": { + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + } + }, + "type": "object", + "title": "AppGet" + }, + "AppUpdate": { + "properties": { + "name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Name" + }, + "metadata": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Metadata" + } + }, + "type": "object", + "title": "AppUpdate" + }, + "Collection": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "name": { + "type": "string", + "title": "Name" + }, + "user_id": { + "type": "string", + "title": "User Id" + }, + "app_id": { + "type": "string", + "title": "App Id" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + } + }, + "type": "object", + "required": [ + "id", + "name", + "user_id", + "app_id", + "created_at" + ], + "title": "Collection" + }, + "CollectionCreate": { + "properties": { + "name": { + "type": "string", + "maxLength": 100, + "minLength": 1, + "title": "Name" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "CollectionCreate" + }, + "CollectionGet": { + "properties": { + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + } + }, + "type": "object", + "title": "CollectionGet" + }, + "CollectionUpdate": { + "properties": { + "name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Name" + }, + "metadata": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Metadata" + } + }, + "type": "object", + "title": "CollectionUpdate" + }, + "DialecticOptions": { + "properties": { + "queries": { + "anyOf": [ + { + "type": "string" + }, + { + "items": { + "type": "string" + }, + "type": "array" + } + ], + "title": "Queries" + }, + "stream": { + "type": "boolean", + "title": "Stream", + "default": false + } + }, + "type": "object", + "required": [ + "queries" + ], + "title": "DialecticOptions" + }, + "DialecticResponse": { + "properties": { + "content": { + "type": "string", + "title": "Content" + } + }, + "type": "object", + "required": [ + "content" + ], + "title": "DialecticResponse" + }, + "Document": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "content": { + "type": "string", + "title": "Content" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "collection_id": { + "type": "string", + "title": "Collection Id" + }, + "app_id": { + "type": "string", + "title": "App Id" + }, + "user_id": { + "type": "string", + "title": "User Id" + } + }, + "type": "object", + "required": [ + "id", + "content", + "created_at", + "collection_id", + "app_id", + "user_id" + ], + "title": "Document" + }, + "DocumentCreate": { + "properties": { + "content": { + "type": "string", + "maxLength": 100000, + "minLength": 1, + "title": "Content" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "required": [ + "content" + ], + "title": "DocumentCreate" + }, + "DocumentGet": { + "properties": { + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + } + }, + "type": "object", + "title": "DocumentGet" + }, + "DocumentQuery": { + "properties": { + "query": { + "type": "string", + "maxLength": 1000, + "minLength": 1, + "title": "Query" + }, + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + }, + "top_k": { + "type": "integer", + "maximum": 50, + "minimum": 1, + "title": "Top K", + "default": 5 + } + }, + "type": "object", + "required": [ + "query" + ], + "title": "DocumentQuery" + }, + "DocumentUpdate": { + "properties": { + "metadata": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object", + "maxProperties": 10000 + }, + { + "type": "null" + } + ], + "title": "Metadata" + }, + "content": { + "anyOf": [ + { + "type": "string", + "maxLength": 100000, + "minLength": 1 + }, + { + "type": "null" + } + ], + "title": "Content" + } + }, + "type": "object", + "title": "DocumentUpdate" + }, + "HTTPValidationError": { + "properties": { + "detail": { + "items": { + "$ref": "#/components/schemas/ValidationError" + }, + "type": "array", + "title": "Detail" + } + }, + "type": "object", + "title": "HTTPValidationError" + }, + "Message": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "content": { + "type": "string", + "title": "Content" + }, + "is_user": { + "type": "boolean", + "title": "Is User" + }, + "session_id": { + "type": "string", + "title": "Session Id" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "app_id": { + "type": "string", + "title": "App Id" + }, + "user_id": { + "type": "string", + "title": "User Id" + } + }, + "type": "object", + "required": [ + "id", + "content", + "is_user", + "session_id", + "created_at", + "app_id", + "user_id" + ], + "title": "Message" + }, + "MessageBatchCreate": { + "properties": { + "messages": { + "items": { + "$ref": "#/components/schemas/MessageCreate" + }, + "type": "array", + "maxItems": 100, + "title": "Messages" + } + }, + "type": "object", + "required": [ + "messages" + ], + "title": "MessageBatchCreate", + "description": "Schema for batch message creation with a max of 100 messages" + }, + "MessageCreate": { + "properties": { + "content": { + "type": "string", + "maxLength": 50000, + "minLength": 0, + "title": "Content" + }, + "is_user": { + "type": "boolean", + "title": "Is User" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "required": [ + "content", + "is_user" + ], + "title": "MessageCreate" + }, + "MessageGet": { + "properties": { + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + } + }, + "type": "object", + "title": "MessageGet" + }, + "MessageUpdate": { + "properties": { + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata" + } + }, + "type": "object", + "required": [ + "metadata" + ], + "title": "MessageUpdate" + }, + "Metamessage": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "label": { + "type": "string", + "title": "Label" + }, + "content": { + "type": "string", + "title": "Content" + }, + "user_id": { + "type": "string", + "title": "User Id" + }, + "app_id": { + "type": "string", + "title": "App Id" + }, + "session_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Session Id" + }, + "message_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Message Id" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "metamessage_type": { + "type": "string", + "title": "Metamessage Type", + "readOnly": true + } + }, + "type": "object", + "required": [ + "id", + "label", + "content", + "user_id", + "app_id", + "session_id", + "message_id", + "created_at", + "metamessage_type" + ], + "title": "Metamessage" + }, + "MetamessageCreate": { + "properties": { + "metamessage_type": { + "type": "string", + "maxLength": 50, + "minLength": 1, + "title": "Metamessage Type" + }, + "content": { + "type": "string", + "maxLength": 50000, + "minLength": 0, + "title": "Content" + }, + "session_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } 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"MetamessageUpdate": { + "properties": { + "session_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Session Id" + }, + "message_id": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Message Id" + }, + "metamessage_type": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Metamessage Type" + }, + "metadata": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Metadata" + } + }, + "type": "object", + "title": "MetamessageUpdate" + }, + "Page_App_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/App" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[App]" + }, + "Page_Collection_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/Collection" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[Collection]" + }, + "Page_Document_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/Document" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[Document]" + }, + "Page_Message_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/Message" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[Message]" + }, + "Page_Metamessage_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/Metamessage" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[Metamessage]" + }, + "Page_Session_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/Session" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[Session]" + }, + "Page_User_": { + "properties": { + "items": { + "items": { + "$ref": "#/components/schemas/User" + }, + "type": "array", + "title": "Items" + }, + "total": { + "type": "integer", + "minimum": 0, + "title": "Total" + }, + "page": { + "type": "integer", + "minimum": 1, + "title": "Page" + }, + "size": { + "type": "integer", + "minimum": 1, + "title": "Size" + }, + "pages": { + "type": "integer", + "minimum": 0, + "title": "Pages" + } + }, + "type": "object", + "required": [ + "items", + "total", + "page", + "size" + ], + "title": "Page[User]" + }, + "Session": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "is_active": { + "type": "boolean", + "title": "Is Active" + }, + "user_id": { + "type": "string", + "title": "User Id" + }, + "app_id": { + "type": "string", + "title": "App Id" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + } + }, + "type": "object", + "required": [ + "id", + "is_active", + "user_id", + "app_id", + "created_at" + ], + "title": "Session" + }, + "SessionCreate": { + "properties": { + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "title": "SessionCreate" + }, + "SessionGet": { + "properties": { + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + }, + "is_active": { + "type": "boolean", + "title": "Is Active", + "default": false + } + }, + "type": "object", + "title": "SessionGet" + }, + "SessionUpdate": { + "properties": { + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata" + } + }, + "type": "object", + "required": [ + "metadata" + ], + "title": "SessionUpdate" + }, + "User": { + "properties": { + "id": { + "type": "string", + "title": "Id" + }, + "name": { + "type": "string", + "title": "Name" + }, + "app_id": { + "type": "string", + "title": "App Id" + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "required": [ + "id", + "name", + "app_id", + "created_at" + ], + "title": "User" + }, + "UserCreate": { + "properties": { + "name": { + "type": "string", + "maxLength": 100, + "minLength": 1, + "title": "Name" + }, + "metadata": { + "additionalProperties": true, + "type": "object", + "title": "Metadata", + "default": {} + } + }, + "type": "object", + "required": [ + "name" + ], + "title": "UserCreate" + }, + "UserGet": { + "properties": { + "filter": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Filter" + } + }, + "type": "object", + "title": "UserGet" + }, + "UserUpdate": { + "properties": { + "name": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "title": "Name" + }, + "metadata": { + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Metadata" + } + }, + "type": "object", + "title": "UserUpdate" + }, + "ValidationError": { + "properties": { + "loc": { + "items": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "integer" + } + ] + }, + "type": "array", + "title": "Location" + }, + "msg": { + "type": "string", + "title": "Message" + }, + "type": { + "type": "string", + "title": "Error Type" + } + }, + "type": "object", + "required": [ + "loc", + "msg", + "type" + ], + "title": "ValidationError" + } + }, + "securitySchemes": { + "HTTPBearer": { + "type": "http", + "scheme": "bearer" + } + } + } +} \ No newline at end of file diff --git a/docs/v2/README.md b/docs/v2/README.md new file mode 100644 index 00000000..4bfc72a7 --- /dev/null +++ b/docs/v2/README.md @@ -0,0 +1 @@ +This subdirectory contains the peer-paradigm documentation for Honcho (Honcho v2.0.0 onwards). \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/keys/create-key.mdx b/docs/v2/api-reference/endpoint/keys/create-key.mdx new file mode 100644 index 00000000..6a522ffb --- /dev/null +++ b/docs/v2/api-reference/endpoint/keys/create-key.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/keys +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/messages/create-messages-for-session.mdx b/docs/v2/api-reference/endpoint/messages/create-messages-for-session.mdx new file mode 100644 index 00000000..83f34e60 --- /dev/null +++ b/docs/v2/api-reference/endpoint/messages/create-messages-for-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/ +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/messages/get-message.mdx b/docs/v2/api-reference/endpoint/messages/get-message.mdx new file mode 100644 index 00000000..e41a39dd --- /dev/null +++ b/docs/v2/api-reference/endpoint/messages/get-message.mdx @@ -0,0 +1,3 @@ +--- +openapi: get /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id} +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/messages/get-messages.mdx b/docs/v2/api-reference/endpoint/messages/get-messages.mdx new file mode 100644 index 00000000..a1ce5f9d --- /dev/null +++ b/docs/v2/api-reference/endpoint/messages/get-messages.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/list +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/messages/update-message.mdx b/docs/v2/api-reference/endpoint/messages/update-message.mdx new file mode 100644 index 00000000..9c41f98e --- /dev/null +++ b/docs/v2/api-reference/endpoint/messages/update-message.mdx @@ -0,0 +1,3 @@ +--- +openapi: put /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id} +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/chat.mdx b/docs/v2/api-reference/endpoint/peers/chat.mdx new file mode 100644 index 00000000..913beae3 --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/chat.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/{peer_id}/chat +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/create-messages-for-peer.mdx b/docs/v2/api-reference/endpoint/peers/create-messages-for-peer.mdx new file mode 100644 index 00000000..c8ad05ff --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/create-messages-for-peer.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/{peer_id}/messages +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/get-messages-for-peer.mdx b/docs/v2/api-reference/endpoint/peers/get-messages-for-peer.mdx new file mode 100644 index 00000000..e4c93b5a --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/get-messages-for-peer.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/{peer_id}/messages/list +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/get-or-create-peer.mdx b/docs/v2/api-reference/endpoint/peers/get-or-create-peer.mdx new file mode 100644 index 00000000..cd1f2df0 --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/get-or-create-peer.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/get-peers.mdx b/docs/v2/api-reference/endpoint/peers/get-peers.mdx new file mode 100644 index 00000000..3ddbedfa --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/get-peers.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/list +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/get-sessions-for-peer.mdx b/docs/v2/api-reference/endpoint/peers/get-sessions-for-peer.mdx new file mode 100644 index 00000000..5823f670 --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/get-sessions-for-peer.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/{peer_id}/sessions +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/get-working-representation.mdx b/docs/v2/api-reference/endpoint/peers/get-working-representation.mdx new file mode 100644 index 00000000..1d876db5 --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/get-working-representation.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/{peer_id}/representation +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/search-peer.mdx b/docs/v2/api-reference/endpoint/peers/search-peer.mdx new file mode 100644 index 00000000..9a857581 --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/search-peer.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/peers/{peer_id}/search +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/peers/update-peer.mdx b/docs/v2/api-reference/endpoint/peers/update-peer.mdx new file mode 100644 index 00000000..68f5741c --- /dev/null +++ b/docs/v2/api-reference/endpoint/peers/update-peer.mdx @@ -0,0 +1,3 @@ +--- +openapi: put /v1/workspaces/{workspace_id}/peers/{peer_id} +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/add-peers-to-session.mdx b/docs/v2/api-reference/endpoint/sessions/add-peers-to-session.mdx new file mode 100644 index 00000000..7f9c0253 --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/add-peers-to-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions/{session_id}/peers +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/clone-session.mdx b/docs/v2/api-reference/endpoint/sessions/clone-session.mdx new file mode 100644 index 00000000..0e9c9a0a --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/clone-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: get /v1/workspaces/{workspace_id}/sessions/{session_id}/clone +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/delete-session.mdx b/docs/v2/api-reference/endpoint/sessions/delete-session.mdx new file mode 100644 index 00000000..16229bd7 --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/delete-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: delete /v1/workspaces/{workspace_id}/sessions/{session_id} +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/get-or-create-session.mdx b/docs/v2/api-reference/endpoint/sessions/get-or-create-session.mdx new file mode 100644 index 00000000..168b809f --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/get-or-create-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/get-peer-config.mdx b/docs/v2/api-reference/endpoint/sessions/get-peer-config.mdx new file mode 100644 index 00000000..ce683b30 --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/get-peer-config.mdx @@ -0,0 +1,3 @@ +--- +openapi: get /v1/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/get-session-context.mdx b/docs/v2/api-reference/endpoint/sessions/get-session-context.mdx new file mode 100644 index 00000000..e0273fba --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/get-session-context.mdx @@ -0,0 +1,3 @@ +--- +openapi: get /v1/workspaces/{workspace_id}/sessions/{session_id}/context +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/get-session-peers.mdx b/docs/v2/api-reference/endpoint/sessions/get-session-peers.mdx new file mode 100644 index 00000000..7d740ed5 --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/get-session-peers.mdx @@ -0,0 +1,3 @@ +--- +openapi: get /v1/workspaces/{workspace_id}/sessions/{session_id}/peers +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/get-sessions.mdx b/docs/v2/api-reference/endpoint/sessions/get-sessions.mdx new file mode 100644 index 00000000..5b9ef03f --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/get-sessions.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions/list +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/remove-peers-from-session.mdx b/docs/v2/api-reference/endpoint/sessions/remove-peers-from-session.mdx new file mode 100644 index 00000000..ab2038c9 --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/remove-peers-from-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: delete /v1/workspaces/{workspace_id}/sessions/{session_id}/peers +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/search-session.mdx b/docs/v2/api-reference/endpoint/sessions/search-session.mdx new file mode 100644 index 00000000..62f870f3 --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/search-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions/{session_id}/search +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/set-peer-config.mdx b/docs/v2/api-reference/endpoint/sessions/set-peer-config.mdx new file mode 100644 index 00000000..e15345aa --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/set-peer-config.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/set-session-peers.mdx b/docs/v2/api-reference/endpoint/sessions/set-session-peers.mdx new file mode 100644 index 00000000..1c5ff03e --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/set-session-peers.mdx @@ -0,0 +1,3 @@ +--- +openapi: put /v1/workspaces/{workspace_id}/sessions/{session_id}/peers +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/sessions/update-session.mdx b/docs/v2/api-reference/endpoint/sessions/update-session.mdx new file mode 100644 index 00000000..8b61cbfb --- /dev/null +++ b/docs/v2/api-reference/endpoint/sessions/update-session.mdx @@ -0,0 +1,3 @@ +--- +openapi: put /v1/workspaces/{workspace_id}/sessions/{session_id} +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/workspaces/get-all-workspaces.mdx b/docs/v2/api-reference/endpoint/workspaces/get-all-workspaces.mdx new file mode 100644 index 00000000..e584e91a --- /dev/null +++ b/docs/v2/api-reference/endpoint/workspaces/get-all-workspaces.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/list +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/workspaces/get-or-create-workspace.mdx b/docs/v2/api-reference/endpoint/workspaces/get-or-create-workspace.mdx new file mode 100644 index 00000000..302c1508 --- /dev/null +++ b/docs/v2/api-reference/endpoint/workspaces/get-or-create-workspace.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/workspaces/search-workspace.mdx b/docs/v2/api-reference/endpoint/workspaces/search-workspace.mdx new file mode 100644 index 00000000..29283482 --- /dev/null +++ b/docs/v2/api-reference/endpoint/workspaces/search-workspace.mdx @@ -0,0 +1,3 @@ +--- +openapi: post /v1/workspaces/{workspace_id}/search +--- \ No newline at end of file diff --git a/docs/v2/api-reference/endpoint/workspaces/update-workspace.mdx b/docs/v2/api-reference/endpoint/workspaces/update-workspace.mdx new file mode 100644 index 00000000..e5922f98 --- /dev/null +++ b/docs/v2/api-reference/endpoint/workspaces/update-workspace.mdx @@ -0,0 +1,3 @@ +--- +openapi: put /v1/workspaces/{workspace_id} +--- \ No newline at end of file diff --git a/docs/v2/api-reference/introduction.mdx b/docs/v2/api-reference/introduction.mdx new file mode 100644 index 00000000..6765e7a3 --- /dev/null +++ b/docs/v2/api-reference/introduction.mdx @@ -0,0 +1,27 @@ +--- +title: 'Introduction' +--- + +This section documents all available API endpoints in the Honcho Server. Each +endpoint provides CRUD operations for our core primitives. For information +about these primitives, see +[Architecture](/v2/documentation/core-concepts/architecture). + + + We strongly recommend using our official SDKs instead of calling these APIs directly. The SDKs provide better error handling, type safety, and developer experience. + + +## Recommended approach + +Use our official SDKs for the best development experience: +- [Python SDK](https://pypi.org/project/honcho-ai/) +- [TypeScript SDK](https://www.npmjs.com/package/@honcho-ai/sdk) + +## When to use this API reference + +This reference is primarily useful for: +- Debugging SDK behavior +- Building integrations in unsupported languages +- Understanding the underlying data structures + +The endpoints pages are autogenerated and include interactive examples for testing. diff --git a/docs/v2/contributing/configuration.mdx b/docs/v2/contributing/configuration.mdx new file mode 100644 index 00000000..ee778330 --- /dev/null +++ b/docs/v2/contributing/configuration.mdx @@ -0,0 +1,433 @@ +--- +title: "Configuration Guide" +description: "Complete guide to configuring Honcho for development and production" +icon: "gear" +--- + +Honcho uses a flexible configuration system that supports both TOML files and environment variables. Configuration values are loaded in the following priority order (highest to lowest): + +1. Environment variables (always take precedence) +2. `.env` file (for local development) +3. `config.toml` file (base configuration) +4. Default values + +## Recommended Configuration Approaches + +### Option 1: Environment Variables Only (Production) +- Use environment variables for all configuration +- No config files needed +- Ideal for containerized deployments (Docker, Kubernetes) +- Secrets managed by your deployment platform + +### Option 2: config.toml (Development/Simple Deployments) +- Use config.toml for base configuration +- Override sensitive values with environment variables +- Good for development and simple deployments + +### Option 3: Hybrid Approach +- Use config.toml for non-sensitive base settings +- Use .env file for sensitive values (API keys, secrets) +- Good for development teams + +### Option 4: .env Only (Local Development) +- Use .env file for all configuration +- Simple for local development +- Never commit .env files to version control + +## Configuration Methods + +### Using config.toml + +Copy the example configuration file to get started: + +```bash +cp config.toml.example config.toml +``` + +Then modify the values as needed. The TOML file is organized into sections: + +- `[app]` - Application-level settings (log level, host, port) +- `[db]` - Database connection and pool settings +- `[auth]` - Authentication configuration +- `[llm]` - LLM provider and model settings +- `[agent]` - Agent behavior settings +- `[deriver]` - Background worker settings +- `[history]` - Message history settings +- `[sentry]` - Error tracking settings + +### Using Environment Variables + +All configuration values can be overridden using environment variables. The environment variable names follow this pattern: + +- `{SECTION}_{KEY}` for nested settings +- Just `{KEY}` for app-level settings + +Examples: + +- `DB_CONNECTION_URI` → `[db].CONNECTION_URI` +- `DB_POOL_SIZE` → `[db].POOL_SIZE` +- `AUTH_JWT_SECRET` → `[auth].JWT_SECRET` +- `LLM_DIALECTIC_MODEL` → `[llm].DIALECTIC_MODEL` +- `LOG_LEVEL` (no section) → `[app].LOG_LEVEL` + +### Configuration Priority + +When a configuration value is set in multiple places, Honcho uses this priority: + +1. **Environment variables** - Always take precedence +2. **.env file** - Loaded for local development +3. **config.toml** - Base configuration +4. **Default values** - Built-in defaults + +This allows you to: + +- Use `config.toml` for base configuration +- Override specific values with environment variables in production +- Use `.env` files for local development without modifying config.toml + +### Example + +If you have this in `config.toml`: + +```toml +[db] +CONNECTION_URI = "postgresql://localhost/honcho_dev" +POOL_SIZE = 10 +``` + +You can override just the connection URI in production: + +```bash +export DB_CONNECTION_URI="postgresql://prod-server/honcho_prod" +``` + +The application will use the production connection URI while keeping the pool size from config.toml. + +## Core Configuration + +### Application Settings + +**Basic Application Configuration:** +```bash +# Logging and server settings +LOG_LEVEL=INFO # DEBUG, INFO, WARNING, ERROR +FASTAPI_HOST=0.0.0.0 +FASTAPI_PORT=8000 +``` + +**Environment-specific settings:** +```bash +# Development +LOG_LEVEL=DEBUG +FASTAPI_HOST=127.0.0.1 + +# Production +LOG_LEVEL=WARNING +FASTAPI_HOST=0.0.0.0 +``` + +### Database Configuration + +**Required Database Settings:** +```bash +# PostgreSQL connection string (required) +DB_CONNECTION_URI=postgresql+psycopg://username:password@host:port/database + +# Example for local development +DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5432/honcho + +# Example for production +DB_CONNECTION_URI=postgresql+psycopg://honcho_user:secure_password@db.example.com:5432/honcho_prod +``` + +**Database Pool Settings:** +```bash +# Connection pool configuration +DB_SCHEMA=public +DB_POOL_SIZE=10 +DB_MAX_OVERFLOW=20 +DB_POOL_TIMEOUT=30 +DB_POOL_RECYCLE=300 +DB_POOL_PRE_PING=true +DB_SQL_DEBUG=false +DB_TRACING=false +``` + +**Docker Compose for PostgreSQL:** +```yaml +# docker-compose.yml +version: '3.8' +services: + database: + image: pgvector/pgvector:pg15 + environment: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: honcho + ports: + - "5432:5432" + volumes: + - postgres_data:/var/lib/postgresql/data + - ./init.sql:/docker-entrypoint-initdb.d/init.sql + +volumes: + postgres_data: +``` + +### Authentication Configuration + +**JWT Authentication:** +```bash +# Enable/disable authentication +AUTH_USE_AUTH=false # Set to true for production + +# JWT settings (required if AUTH_USE_AUTH is true) +AUTH_JWT_SECRET=your-super-secret-jwt-key +``` + +**Generate JWT Secret:** +```bash +# Generate a secure JWT secret +python scripts/generate_jwt_secret.py +``` + +## LLM Provider Configuration + +### Anthropic (Claude) + +**Required Settings:** +```bash +# API key for Anthropic +ANTHROPIC_API_KEY=your-anthropic-api-key + +# Model for dialectic reasoning +LLM_DIALECTIC_PROVIDER=anthropic +LLM_DIALECTIC_MODEL=claude-3-7-sonnet-20250219 +``` + +### OpenAI + +**Required Settings:** +```bash +# API key for OpenAI +OPENAI_API_KEY=your-openai-api-key + +# Alternative OpenAI-compatible API +OPENAI_COMPATIBLE_API_KEY=your-api-key +OPENAI_COMPATIBLE_BASE_URL=https://your-openai-compatible-endpoint.com +``` + +### Google (Gemini) + +**Required Settings:** +```bash +# API key for Google Gemini +GEMINI_API_KEY=your-gemini-api-key + +# Model for summarization +LLM_SUMMARY_PROVIDER=gemini +LLM_SUMMARY_MODEL=gemini-2.0-flash-lite +LLM_SUMMARY_MAX_TOKENS_SHORT=1000 +LLM_SUMMARY_MAX_TOKENS_LONG=2000 +``` + +### Groq + +**Required Settings:** +```bash +# API key for Groq +GROQ_API_KEY=your-groq-api-key + +# Model for query generation +LLM_QUERY_GENERATION_PROVIDER=groq +LLM_QUERY_GENERATION_MODEL=llama-3.1-8b-instant +``` + +### LLM General Settings + +**Default Configuration:** +```bash +# Default token and temperature settings +LLM_DEFAULT_MAX_TOKENS=1000 +LLM_DEFAULT_TEMPERATURE=0.0 +``` + +## Agent Configuration + +**Semantic Search Settings:** +```bash +# Search configuration +AGENT_SEMANTIC_SEARCH_TOP_K=10 +AGENT_SEMANTIC_SEARCH_MAX_DISTANCE=0.85 +``` + +**Theory of Mind Settings:** +```bash +# TOM inference method +AGENT_TOM_INFERENCE_METHOD=single_prompt +``` + +## Deriver Configuration + +**Background Processing:** +```bash +# Worker configuration +DERIVER_WORKERS=1 +DERIVER_STALE_SESSION_TIMEOUT_MINUTES=5 +DERIVER_POLLING_SLEEP_INTERVAL_SECONDS=1.0 +``` + +**Processing Methods:** +```bash +# TOM and user representation methods +DERIVER_TOM_METHOD=single_prompt +DERIVER_USER_REPRESENTATION_METHOD=long_term +``` + +## History Configuration + +**Message Summarization:** +```bash +# Summary thresholds +HISTORY_MESSAGES_PER_SHORT_SUMMARY=20 +HISTORY_MESSAGES_PER_LONG_SUMMARY=60 +``` + +## Monitoring Configuration + +### Sentry Error Tracking + +**Sentry Settings:** +```bash +# Enable/disable Sentry +SENTRY_ENABLED=false + +# Sentry configuration +SENTRY_DSN=https://your-sentry-dsn@sentry.io/project-id +SENTRY_TRACES_SAMPLE_RATE=0.1 +SENTRY_PROFILES_SAMPLE_RATE=0.1 +``` + +## Environment-Specific Examples + +### Development Configuration + +**config.toml for development:** +```toml +[app] +LOG_LEVEL = "DEBUG" +FASTAPI_HOST = "127.0.0.1" +FASTAPI_PORT = 8000 + +[db] +CONNECTION_URI = "postgresql+psycopg://postgres:postgres@localhost:5432/honcho_dev" +POOL_SIZE = 5 + +[auth] +USE_AUTH = false + +[llm] +DIALECTIC_PROVIDER = "anthropic" +DIALECTIC_MODEL = "claude-3-7-sonnet-20250219" + +[deriver] +WORKERS = 1 + +[sentry] +ENABLED = false +``` + +**Environment variables for development:** +```bash +# .env.development +LOG_LEVEL=DEBUG +DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5432/honcho_dev +AUTH_USE_AUTH=false +ANTHROPIC_API_KEY=your-dev-anthropic-key +``` + +### Production Configuration + +**config.toml for production:** +```toml +[app] +LOG_LEVEL = "WARNING" +FASTAPI_HOST = "0.0.0.0" +FASTAPI_PORT = 8000 + +[db] +CONNECTION_URI = "postgresql+psycopg://honcho_user:secure_password@prod-db:5432/honcho_prod" +POOL_SIZE = 20 +MAX_OVERFLOW = 40 + +[auth] +USE_AUTH = true + +[llm] +DIALECTIC_PROVIDER = "anthropic" +DIALECTIC_MODEL = "claude-3-7-sonnet-20250219" +SUMMARY_PROVIDER = "gemini" +SUMMARY_MODEL = "gemini-2.0-flash-lite" + +[deriver] +WORKERS = 4 + +[sentry] +ENABLED = true +TRACES_SAMPLE_RATE = 0.1 +``` + +**Environment variables for production:** +```bash +# .env.production +LOG_LEVEL=WARNING +DB_CONNECTION_URI=postgresql+psycopg://honcho_user:secure_password@prod-db:5432/honcho_prod +AUTH_USE_AUTH=true +AUTH_JWT_SECRET=your-super-secret-jwt-key +ANTHROPIC_API_KEY=your-prod-anthropic-key +GEMINI_API_KEY=your-prod-gemini-key +SENTRY_DSN=https://your-sentry-dsn@sentry.io/project-id +``` + +## Migration Management + +**Running Database Migrations:** +```bash +# Check current migration status +uv run alembic current + +# Upgrade to latest +uv run alembic upgrade head + +# Downgrade to specific revision +uv run alembic downgrade revision_id + +# Create new migration +uv run alembic revision --autogenerate -m "Description of changes" +``` + +## Troubleshooting + +**Common Configuration Issues:** + +1. **Database Connection Errors** + - Ensure `DB_CONNECTION_URI` uses `postgresql+psycopg://` prefix + - Verify database is running and accessible + - Check pgvector extension is installed + +2. **Authentication Issues** + - Set `AUTH_USE_AUTH=true` for production + - Generate and set `AUTH_JWT_SECRET` if authentication is enabled + - Use `python scripts/generate_jwt_secret.py` to create a secure secret + +3. **LLM Provider Issues** + - Verify API keys are set correctly + - Check model names match provider specifications + - Ensure provider is enabled in configuration + +4. **Deriver Issues** + - Increase `DERIVER_WORKERS` for better performance + - Check `DERIVER_STALE_SESSION_TIMEOUT_MINUTES` for session cleanup + - Monitor background processing logs + +This configuration guide covers all the settings available in Honcho. Always use environment-specific configuration files and never commit sensitive values like API keys or JWT secrets to version control. diff --git a/docs/v2/contributing/guidelines.mdx b/docs/v2/contributing/guidelines.mdx new file mode 100644 index 00000000..9f37dc02 --- /dev/null +++ b/docs/v2/contributing/guidelines.mdx @@ -0,0 +1,172 @@ +--- +title: 'Contributing Guidelines' +icon: 'handshake' +--- + +Thank you for your interest in contributing to Honcho! This guide outlines the process for contributing to the project and our development conventions. + +## Getting Started + +Before you start contributing, please: + +1. **Set up your development environment** - Follow the [Local Development guide](https://github.com/plastic-labs/honcho/blob/main/CONTRIBUTING.md#local-development) in the Honcho repository to get Honcho running locally. + +2. **Join our community** - Feel free to join us in our [Discord](http://discord.gg/plasticlabs) to discuss your changes, get help, or ask questions. + +3. **Review existing issues** - Check the [issues tab](https://github.com/plastic-labs/honcho/issues) to see what's already being worked on or to find something to contribute to. + +## Contribution Workflow + +### 1. Fork and Clone + +1. Fork the repository on GitHub +2. Clone your fork locally: + ```bash + git clone https://github.com/YOUR_USERNAME/honcho.git + cd honcho + ``` +3. Add the upstream repository as a remote: + ```bash + git remote add upstream https://github.com/plastic-labs/honcho.git + ``` + +### 2. Create a Branch + +Create a new branch for your feature or bug fix: + +```bash +git checkout -b feature/your-feature-name +# or +git checkout -b fix/your-bug-fix-name +``` + +**Branch naming conventions:** +- `feature/description` - for new features +- `fix/description` - for bug fixes +- `docs/description` - for documentation updates +- `refactor/description` - for code refactoring +- `test/description` - for adding or updating tests + +### 3. Make Your Changes + +- Write clean, readable code that follows our coding standards (see below) +- Add tests for new functionality +- Update documentation as needed +- Make sure your changes don't break existing functionality + +### 4. Commit Your Changes + +We follow conventional commit standards. Format your commit messages as: + +``` +type(scope): description + +[optional body] + +[optional footer] +``` + +**Types:** +- `feat`: A new feature +- `fix`: A bug fix +- `docs`: Documentation only changes +- `style`: Changes that do not affect the meaning of the code +- `refactor`: A code change that neither fixes a bug nor adds a feature +- `test`: Adding missing tests or correcting existing tests +- `chore`: Changes to the build process or auxiliary tools + +**Examples:** +```bash +git commit -m "feat(api): add new dialectic endpoint for user insights" +git commit -m "fix(db): resolve connection pool timeout issue" +git commit -m "docs(readme): update installation instructions" +``` + +### 5. Submit a Pull Request + +1. Push your branch to your fork: + ```bash + git push origin your-branch-name + ``` + +2. Create a pull request on GitHub from your branch to the `main` branch + +3. Fill out the pull request template with: + - A clear description of what changes you've made + - The motivation for the changes + - Any relevant issue numbers (use "Closes #123" to auto-close issues) + - Screenshots or examples if applicable + +## Coding Standards + +### Python Code Style + +- Follow [PEP 8](https://www.python.org/dev/peps/pep-0008/) style guidelines +- Use [Black](https://black.readthedocs.io/) for code formatting (we may add this to CI in the future) +- Use type hints where possible +- Write docstrings for functions and classes using Google style docstrings + +### Code Organization + +- Keep functions focused and single-purpose +- Use meaningful variable and function names +- Add comments for complex logic +- Follow existing patterns in the codebase + +### Testing + +- Write unit tests for new functionality +- Ensure existing tests pass before submitting +- Use descriptive test names that explain what is being tested +- Mock external dependencies appropriately + +### Documentation + +- Update relevant documentation for new features +- Include examples in docstrings where helpful +- Keep README and other docs up to date with changes + +## Review Process + +1. **Automated checks** - Your PR will run through automated checks including tests and linting +2. **Project maintainer review** - A project maintainer will review your code for: + - Code quality and adherence to standards + - Functionality and correctness + - Test coverage + - Documentation completeness +3. **Discussion and iteration** - You may be asked to make changes or clarifications +4. **Approval and merge** - Once approved, your PR will be merged into `main` + +## Types of Contributions + +We welcome various types of contributions: + +- **Bug fixes** - Help us squash bugs and improve stability +- **New features** - Add functionality that benefits the community +- **Documentation** - Improve or expand our documentation +- **Tests** - Increase test coverage and reliability +- **Performance improvements** - Help make Honcho faster and more efficient +- **Examples and tutorials** - Help other developers use Honcho + +## Issue Reporting + +When reporting bugs or requesting features: + +1. Check if the issue already exists +2. Use the appropriate issue template +3. Provide clear reproduction steps for bugs +4. Include relevant environment information +5. Be specific about expected vs actual behavior + +## Questions and Support + +- **General questions** - Join our [Discord](http://discord.gg/plasticlabs) +- **Bug reports** - Use GitHub issues +- **Feature requests** - Use GitHub issues with the feature request template +- **Security issues** - Please email us privately rather than opening a public issue + +## License + +By contributing to Honcho, you agree that your contributions will be licensed under the same [AGPL-3.0 License](./license) that covers the project. + +Thank you for helping make Honcho better! 🫡 \ No newline at end of file diff --git a/docs/v2/contributing/license.mdx b/docs/v2/contributing/license.mdx new file mode 100644 index 00000000..a53e2d7a --- /dev/null +++ b/docs/v2/contributing/license.mdx @@ -0,0 +1,671 @@ +--- +title: 'License' +icon: 'scroll' +--- + +Honcho is licensed under the AGPL-3.0 License. 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It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published + by the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. +``` \ No newline at end of file diff --git a/docs/v2/contributing/self-hosting.mdx b/docs/v2/contributing/self-hosting.mdx new file mode 100644 index 00000000..93fe9dbc --- /dev/null +++ b/docs/v2/contributing/self-hosting.mdx @@ -0,0 +1,325 @@ +--- +title: 'Local Environment Setup' +sidebarTitle: 'Local Environment' +description: 'Set up a local environment to run Honcho for development, testing, or self-hosting' +icon: 'computer' +--- + +This guide helps you set up a local environment to run Honcho for development, testing, or self-hosting. + +## Overview + +By the end of this guide, you'll have: +- A local Honcho server running on your machine +- A PostgreSQL database with pgvector extension +- Basic configuration to connect your applications +- A working environment for development or testing + +## Prerequisites + +Before you begin, ensure you have the following installed: + +### Required Software +- **uv** - Python package manager: `pip install uv` (manages Python installations automatically) +- **Git** - [Download from git-scm.com](https://git-scm.com/downloads) +- **Docker** (optional) - [Download from docker.com](https://www.docker.com/products/docker-desktop/) + +### Database Options +You'll need a PostgreSQL database with the pgvector extension. Choose one: + +- **Local PostgreSQL** - Install locally or use Docker +- **Supabase** - Free cloud PostgreSQL with pgvector +- **Railway** - Simple cloud PostgreSQL hosting +- **Your own PostgreSQL server** + +## Docker Setup (Recommended) + +The easiest way to get started is using Docker Compose, which handles both the database and Honcho server. + +### 1. Clone the Repository + +```bash +git clone https://github.com/plastic-labs/honcho.git +cd honcho +``` + +### 2. Set Up Environment Variables + +Copy the example environment file and configure it: + +```bash +cp .env.template .env +``` + +Edit `.env` and set your API keys (if using LLM features): + +```bash +# Optional API keys (required for LLM features) +OPENAI_API_KEY=your-openai-api-key +ANTHROPIC_API_KEY=your-anthropic-api-key + +# Database will be created automatically by Docker +DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@database:5432/honcho + +# Disable auth for local development +AUTH_USE_AUTH=false +``` + +### 3. Start the Services + +```bash +# Copy the example docker-compose file +cp docker-compose.yml.example docker-compose.yml + +# Start PostgreSQL and Honcho +docker compose up -d +``` + +### 4. Verify It's Working + +Check that both services are running: + +```bash +docker compose ps +``` + +Test the Honcho API: + +```bash +curl http://localhost:8000/health +``` + +You should see a response indicating the service is healthy. + +## Manual Setup + +For more control over your environment, you can set up everything manually. + +### 1. Clone and Install Dependencies + +```bash +git clone https://github.com/plastic-labs/honcho.git +cd honcho + +# Install dependencies using uv (this will also set up Python if needed) +uv sync + +# Activate the virtual environment +source .venv/bin/activate # On Windows: .venv\Scripts\activate +``` + +### 2. Set Up PostgreSQL + +#### Option A: Local PostgreSQL Installation + +Install PostgreSQL and pgvector on your system: + +**macOS (using Homebrew):** +```bash +brew install postgresql +brew install pgvector +``` + +**Ubuntu/Debian:** +```bash +sudo apt update +sudo apt install postgresql postgresql-contrib +# Install pgvector extension (see pgvector docs for your version) +``` + +**Windows:** +Download from [postgresql.org](https://www.postgresql.org/download/windows/) + +#### Option B: Docker PostgreSQL + +```bash +docker run --name honcho-db \ + -e POSTGRES_DB=honcho \ + -e POSTGRES_USER=postgres \ + -e POSTGRES_PASSWORD=postgres \ + -p 5432:5432 \ + -d pgvector/pgvector:pg15 +``` + +### 3. Create Database and Enable Extensions + +Connect to PostgreSQL and set up the database: + +```bash +# Connect to PostgreSQL +psql -U postgres + +# Create database and enable extensions +CREATE DATABASE honcho; +\c honcho +CREATE EXTENSION IF NOT EXISTS vector; +CREATE EXTENSION IF NOT EXISTS pg_trgm; +\q +``` + +### 4. Configure Environment + +Create a `.env` file with your settings: + +```bash +cp .env.template .env +``` + +Edit `.env` with your configuration: + +```bash +# Database connection +DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5432/honcho + +# Optional API keys (required for LLM features) +OPENAI_API_KEY=your-openai-api-key +ANTHROPIC_API_KEY=your-anthropic-api-key + +# Development settings +AUTH_USE_AUTH=false +LOG_LEVEL=DEBUG +``` + +### 5. Run Database Migrations + +```bash +# Run migrations to create tables +uv run alembic upgrade head +``` + +### 6. Start the Server + +```bash +# Start the development server +fastapi dev src/main.py +``` + +The server will be available at `http://localhost:8000`. + +## Cloud Database Setup + +If you prefer to use a managed PostgreSQL service: + +### Supabase (Recommended) + +1. **Create a Supabase project** at [supabase.com](https://supabase.com) +2. **Enable pgvector extension** in the SQL editor: + ```sql + CREATE EXTENSION IF NOT EXISTS vector; + CREATE EXTENSION IF NOT EXISTS pg_trgm; + ``` +3. **Get your connection string** from Settings > Database +4. **Update your `.env` file** with the connection string + +### Railway + +1. **Create a Railway project** at [railway.app](https://railway.app) +2. **Add a PostgreSQL service** +3. **Enable pgvector** in the PostgreSQL console +4. **Get your connection string** from the service variables +5. **Update your `.env` file** + +## Verify Your Setup + +Once your Honcho server is running, verify everything is working: + +### 1. Health Check + +```bash +curl http://localhost:8000/health +``` + +### 2. API Documentation + +Visit `http://localhost:8000/docs` to see the interactive API documentation. + +### 3. Test with SDK + +Create a simple test script: + +```python +from honcho import Honcho + +# Connect to your local instance +client = Honcho(base_url="http://localhost:8000") + +# Create a test peer +peer = client.peer("test-user") +print(f"Created peer: {peer.id}") +``` + +## Connect Your Application + +Now that Honcho is running locally, you can connect your applications: + +### Update SDK Configuration + +```python +# Python SDK +from honcho import Honcho + +client = Honcho( + base_url="http://localhost:8000", # Your local instance + api_key="your-api-key" # If auth is enabled +) +``` + +```typescript +// TypeScript SDK +import { Honcho } from '@honcho-ai/sdk'; + +const client = new Honcho({ + baseUrl: 'http://localhost:8000', // Your local instance + apiKey: 'your-api-key' // If auth is enabled +}); +``` + +### Next Steps + +- **Explore the API**: Check out the [API Reference](/v2/api-reference/introduction) +- **Try the SDKs**: See our [guides](/v2/guides) for examples +- **Configure Honcho**: Visit the [Configuration Guide](./configuration) for detailed settings +- **Join the community**: [Discord](https://discord.gg/plasticlabs) + +## Troubleshooting + +### Common Issues + +**Database Connection Errors** +- Ensure PostgreSQL is running +- Verify the connection string format: `postgresql+psycopg://...` +- Check that pgvector extension is installed + +**API Key Issues** +- Verify your OpenAI and Anthropic API keys are valid +- Check that the keys have sufficient credits/quota + +**Port Already in Use** +- Change the port in your configuration: `FASTAPI_PORT=8001` +- Or stop other services using port 8000 + +**Docker Issues** +- Ensure Docker is running +- Check container logs: `docker compose logs` +- Restart containers: `docker compose down && docker compose up -d` + +**Migration Errors** +- Ensure the database exists and pgvector is enabled +- Check database permissions +- Run migrations manually: `uv run alembic upgrade head` + +### Getting Help + +- **GitHub Issues**: [Report bugs](https://github.com/plastic-labs/honcho/issues) +- **Discord**: [Join our community](https://discord.gg/plasticlabs) +- **Documentation**: Check the [Configuration Guide](./configuration) for detailed settings + +## Production Considerations + +When self-hosting for production, consider: + +- **Security**: Enable authentication, use HTTPS, secure your database +- **Scaling**: Use connection pooling, consider load balancing +- **Monitoring**: Set up logging, error tracking, health checks +- **Backups**: Regular database backups, disaster recovery plan +- **Updates**: Keep Honcho and dependencies updated diff --git a/docs/v2/documentation/core-concepts/architecture.mdx b/docs/v2/documentation/core-concepts/architecture.mdx new file mode 100644 index 00000000..1e747b93 --- /dev/null +++ b/docs/v2/documentation/core-concepts/architecture.mdx @@ -0,0 +1,247 @@ +--- +title: "Architecture" +description: "Understanding Honcho's core concepts and data model." +icon: "sitemap" +--- + +Honcho is built around a hierarchical data model that enables scalable memory management for AI applications. Understanding these core concepts is essential for effectively using the platform. + +## Data Model Overview + +```mermaid +graph TD + W[Workspace] --> P[Peers] + W --> S[Sessions] + W --> D[Background Processing] + P --> PM[Messages] + S --> SM[Messages] + S --> SP[Session Peers] + SP --> Config[Configurations] + D --> DQ[Deriver Queue] + + style W fill:#FF5A7E,stroke:#333,stroke-width:2px,color:#fff + style P fill:#e1f5fe + style S fill:#f3e5f5 + style D fill:#fff3e0 +``` + + +See the [Storage API](/v2/api-reference/introduction) to learn how to use the data model in practice. + + +## Core Concepts + +### Workspaces + +Workspaces are the top-level containers that provide complete isolation between different applications or environments. + +**Key Features:** +- **Isolation**: Complete data separation between workspaces +- **Multi-tenancy**: Support multiple applications or environments +- **Configuration**: Workspace-level settings and metadata +- **Access Control**: Authentication scoped to workspace level + +**Use Cases:** +- Separate development/staging/production environments +- Multi-tenant SaaS applications +- Different product lines or use cases +- Complete data separation between teams + +```json +{ + "name": "my-production-app", + "metadata": { + "environment": "production", + "version": "1.0.0" + }, + "configuration": { + "deriver_enabled": true + } +} +``` + +--- + +### Peers + +Peers represent individual users, agents, or entities in a workspace. They are the primary subjects for memory and context management. + +**Key Features:** +- **Identity**: Unique identifier within a workspace +- **Memory Storage**: Personal memory and context accumulation +- **Configuration**: Per-peer behavioral settings +- **Cross-Session Context**: Memory persists across all sessions + +**Use Cases:** +- Individual users in chatbot applications +- AI agents interacting with users or other agents +- Customer profiles in support systems +- Student profiles in educational platforms + +```json +{ + "name": "user-123", + "metadata": { + "email": "user@example.com", + "preferences": { + "language": "en", + "timezone": "UTC" + } + }, + "configuration": { + "observe_me": true + } +} +``` + +--- + +### Sessions + +Sessions represent individual conversation threads or interaction contexts between peers. + +**Key Features:** +- **Multi-Peer**: Support multiple peers in a single session +- **Temporal Boundaries**: Clear start/end to conversation threads +- **Context Scoping**: Session-specific memory and context +- **Configuration**: Session-level behavioral controls + +**Use Cases:** +- Individual chat conversations +- Support tickets +- Meeting transcripts +- Learning sessions + +```json +{ + "id": "conversation-456", + "peers": { + "user-123": { + "observe_others": true, + "observe_me": true + }, + "assistant-ai": { + "observe_others": false, + "observe_me": false + } + }, + "metadata": { + "topic": "product-support", + "priority": "high" + } +} +``` + +--- + +### Messages + +Messages are the fundamental units of interaction within sessions. They may also be used at the peer level to represent stored information of any kind. + +**Key Features:** +- **Rich Content**: Support for text, metadata, and structured data +- **Attribution**: Clear association with sending peer +- **Ordering**: Chronological sequence within sessions +- **Processing**: Automatic background analysis and insight derivation + +**Message Types:** +- User messages +- AI responses +- System notifications +- Rich media content + +```json +{ + "content": "I need help with my order", + "peer_id": "user-123", + "metadata": { + "intent": "support_request", + "urgency": "medium", + "order_id": "12345" + } +} +``` + +--- + +## Deriver System + +### Deriver Queue + +The deriver system provides automatic background processing of user interactions to derive facts, insights, and context. Messages ingested by Honcho are automatically queued for background processing by the deriver. Depending on the configuration of peer that authored the message and the session in which the message is created, the deriver may enqueue the message multiple times -- we can store facts derived from the message in the peer's global representation, their session-level representation, and/or the representations of other peers observing the author. + +Facts derived here are used in the Dialectic chat endpoint to generate context-aware responses that can correctly reference both concrete facts extracted from messages and social insights deduced from facts, tone, and opinion. + + +Deriver tasks are processed in parallel, but tasks affecting the same peer representation will always be processed serially in order of message creation, so as to properly understand their cumulative effect. + + +### Deriver Tasks + +#### Representation + +Representation tasks generate peer representations. They may be enqueued for each peer that observes a message, depending on configuration. Representations are accessed via the `chat` endpoint, allowing developers to query a peer's representation: from the "omnipresent" perspective of Honcho, the session-level representation, and the representation of that peer *from the perspective of other peers*. + +Representation tasks create comprehensive user profiles including: + +**Psychological Insights:** +- Personality traits +- Communication style +- Preferences and interests +- Behavioral patterns + +**Contextual Information:** +- Current conversation topics +- User goals and objectives +- Emotional state indicators +- Relationship dynamics + +**Example Output:** +``` +The user demonstrates high technical competency and prefers direct communication. +They show interest in software development topics and value efficiency in conversations. +Current session indicates they're seeking help with API integration issues. +``` + +#### Summary + +Summary tasks create conversation summaries and key insights. Periodically, a "short" summary will be created for each session as messages are added -- every 20 messages by default. "Long" summaries are created every 60 messages by default and maintain a total overview of the session by including the previous summary in a recursive fashion. These summaries are accessed in the `get_context` endpoint along with recent messages, allowing developers to easily fetch everything necessary to generate the next LLM completion for an agent. + +## Dialectic Chat + +Honcho's killer feature is the `chat` endpoint. By storing messages in Honcho, you may query in natural language to get intelligent answer's about a user or agent's personality, theory of mind, history, and more. Dialectic Chat should be thought of as an assisting agent which your agent can reach out to for useful context and answers about actors, human or AI, operating your application. + + +Think of Dialectic Chat as an assisting agent that your main agent can consult for contextual information about any actor in your application. + + +## Scalability Considerations + +- **Stateless API**: Scale API servers independently +- **Queue Workers**: Scale background processing workers +- **Database**: PostgreSQL with read replicas + +## Security Architecture + +- **JWTs**: Secure API access +- **Scoped Access**: Workspace/peer/session level permissions +- **Admin Controls**: Super-user capabilities +- **Workspace Isolation**: Complete data separation +- **Encryption**: Data encryption at rest and in transit + +## Next Steps + + + + Learn how to use the SDK to interact with the data model + + + Reference for all technical terms and concepts + + + Detailed API documentation and examples + + + Get started with your first integration + + diff --git a/docs/v2/documentation/core-concepts/features.mdx b/docs/v2/documentation/core-concepts/features.mdx new file mode 100644 index 00000000..79a435de --- /dev/null +++ b/docs/v2/documentation/core-concepts/features.mdx @@ -0,0 +1,37 @@ +--- +title: 'Features' +description: 'Key features and capabilities of Honcho' +icon: 'star' +--- + +### Local vs Global Representation +Peers in Honcho are abstract entities that can represent humans, agents, or NPCs. Honcho has a two-layer approach to forming representations of Peers. +- **Global Representation**: Representation owned by a Peer that is constructed from everything the Peer has sent within Honcho. +- **Local Representation**: The representation that a Peer forms of other Peers, based on the messages those other Peers have sent (as observed by the Peer forming the representation). +- At the Session level, you can configure which Peers are able to observe messages from other Peers in that Session. This determines which Peers form representations of others within the Session. + +### Ingest Arbitrary Data +To facilitate the construction of a Peer's global representation, Honcho is able to ingest arbitrary data to a Peer by adding messages to the Peer directly, outside of the context of a Session. +- Currently, Honcho supports the ingestion of arbitrary text data. + +### Queue Status +To help developers understand when a Peer's representation is fully up to date, Honcho exposes the ability to poll the status of Peer-centric queues that construct representations. +- If no Session is specified, the queue status reflects pending work for the Peer's global representation. +- If a Session is specified, the queue status reflects pending work for the Peer's working representation in that Session. + +### Search +Honcho supports full-text search across message content across different scopes. +- You can search within a specific Session, Peer, or across all messages in a Workspace. +- Search results are ordered by relevance, making it easy to quickly retrieve important past messages. + +### Scoped API Keys +Builders can create scoped API keys to control access to different resources within Honcho. +- **Workspace-Level Keys**: Access to everything scoped to a Workspace. +- **Peer-Level Keys**: Access to everything scoped to a Peer. +- **Session-Level Keys**: Access to everything scoped to a Session. + +### Get Context +Honcho provides a powerful context retrieval feature that delivers formatted conversation context from sessions, making it easy to integrate with LLMs like OpenAI, Anthropic, and others. +- By default, the context includes a blend of summary and messages which covers the entire history of the session. +- Summaries are generated automatically at intervals, and recent messages are included based on your specified token budget for the context. +- You can set any token limit, and if you prefer, you can disable summaries so that the context consists entirely of the most recent messages up to your chosen limit. \ No newline at end of file diff --git a/docs/v2/documentation/core-concepts/glossary.mdx b/docs/v2/documentation/core-concepts/glossary.mdx new file mode 100644 index 00000000..4f521fc2 --- /dev/null +++ b/docs/v2/documentation/core-concepts/glossary.mdx @@ -0,0 +1,222 @@ +--- +title: 'Glossary' +description: 'Key terms and concepts within the Honcho framework' +icon: 'book' +--- + +## AI Development Basics + +Essential terms for developers new to building AI applications. + +**LLM (Large Language Model)** +The AI model that generates text responses, like GPT-4, Claude, or Llama. Think of it as the "brain" that powers your chatbot or AI assistant. + +**Prompt** +The text you send to an AI model to get a response. This includes user messages, system instructions, and any context you provide. + +**Token** +How AI models count and limit text. Roughly 1 token = 0.75 words. Models have token limits (like 4,000 or 128,000 tokens) that determine how much text they can process at once. + +**Context Window** +The maximum amount of text an AI model can "remember" in one conversation. Once you exceed this limit, the model starts "forgetting" earlier parts of the conversation. + +**Memory** +How your AI application remembers information between conversations. Without memory, each conversation starts fresh with no knowledge of previous interactions. + +**Context** +Background information your AI knows about the current situation, user, or conversation. Good context leads to more relevant and personalized responses. + +**Personalization** +Tailoring AI responses to each specific user based on their preferences, history, and behavior patterns. + +**Embedding** +Converting text into numerical vectors that computers can understand and compare. Enables "smart search" that finds similar content based on meaning, not just keywords. + +**Metadata** +Extra information attached to your data, like tags, timestamps, or custom properties. Helps organize and filter your content. + +**API (Application Programming Interface)** +How your application communicates with external services. APIs define what requests you can make and what responses you'll get back. + +**Endpoint** +A specific URL your application calls to perform an action, like creating a user, sending a message, or retrieving data. + +**Session** +One complete conversation or interaction between a user and your AI. Sessions help organize and maintain context within individual conversations. + +**Agent** +An AI system that can take actions and make decisions, not just generate text responses. Agents can use tools, call APIs, and interact with external systems. + +--- + +## Honcho Core Concepts + +The fundamental building blocks of the Honcho platform. + + + +These four concepts form the foundation of Honcho's architecture and enable all other features. + + +**Workspace** +A top-level container providing complete isolation between different applications or environments. Workspaces enable multi-tenancy and contain all peers, sessions, and data with workspace-scoped authentication. + +**Peer** +A persistent identity within a workspace that represents a conversational participant (human users, AI agents, or other possible entities). Peers maintain persistent context and memory across all their interactions and can be configured with specific behavioral settings. + +**Session** +An independent conversation or interaction context that can include multiple peers. Sessions exist independently, allowing persistent context as well as dynamic peer participation and removal. + +**Message** +A single communication unit within a session, attributed to a specific peer. Messages support rich content, metadata, and automatic background processing for derived insights. + +--- + +## Multi-Peer Architecture + +Advanced features for complex conversational scenarios. + +**Multi-Peer Sessions** +Sessions that support multiple participants simultaneously, including humans, AI agents, and other entities. Each peer can have individual configuration settings within the session. + +**Peer Configuration** +Settings that control how a peer behaves within a session: +- **observe_me**: Whether this peer's actions are observed and learned from +- **observe_others**: Whether this peer learns from other participants + +--- + +## Context & Memory + +How Honcho builds and maintains intelligent context about users and conversations. + + +Understanding these concepts is key to leveraging Honcho's Theory of Mind capabilities. + + +**The Deriver** +Honcho's core engine that uses Theory of Mind principles to extract facts, maintain context, and create representations of any given peer. + +**Peer Context** +Persistent knowledge and preferences associated with a specific peer that spans across all their sessions. This includes personality profiles, preferences, and accumulated facts. + +**Session Context** +Conversation-specific memory and context that is scoped to individual sessions, including summaries and session-specific insights. + +**Arbitrary Data** +Information fed to the deriver to jump-start a representation or provide extra context to a specific peer, independent of natural conversation. + +**Global Representation** +Derived context of a specific peer, synthesizing insights from interactions across all sessions, including arbitrary data ingested by this specific peer. With arbitrary data, a global representation can be made independent of sessions. + +**Local Representation** +One peer's persistent context of another based on observed interactions/messages. + +**Observer Peer** +A peer that forms representations of other peers based on their interactions. + +**Target Peer** +The peer being observed to inform a representation. + +--- + +## Storage & Processing + +How Honcho stores and processes conversational data. + +**Dialectic API** +Natural language interface for making queries about what insights have been derived concerning global and local peer representations. + +**Collections** +Internal storage containers that use vector embeddings (numerical representations of text) to enable semantic search and similarity matching. Collections store insights, facts, and context about peers generated by the Deriver, allowing the Dialectic API to find relevant information based on meaning rather than exact keywords. + +**Documents** +Internal pieces of content stored in collections, automatically embedded and searchable via vector similarity. Used internally for context storage and retrieval. + +**Internal Metadata** +Honcho's internal state information that is not exposed through the API, used for system processing and state management. + +--- + +## Background Processing + +How Honcho processes data in the background to build intelligence. + +**Work Units** +Discrete processing tasks that replace session-based processing. Work units handle multi-peer scenarios and different task types for more granular processing control. + +**Deriver Queue** +Background processing system that derives insights from interactions, generates peer representations, and maintains context. Processes work units asynchronously. + +**Queue Status** +Processing status indicators: **Pending**, **In Progress**, or **Complete**. + +--- + +## Advanced Features + +Powerful capabilities for sophisticated AI applications. + +**Batch Operations** +Enhanced message operations including: +- Batch message creation +- Message querying with token and message count limits +- Efficient bulk data processing + +**Scoped Search & Summary** +Search and summary functionalities that can be scoped by: +- Workspace level +- Peer level +- Session level + +**Context Retrieval** +Session context retrieval with automatic summarization and intelligent token allocation management. + +**Peer Paradigm** +A conversation model where AI entities act as peers rather than traditional assistants, enabling collaborative interactions and shared context development. + +--- + +## Authentication & Security + +Security and access control features. + +**Workspace-Scoped Authentication** +JWT-based authentication system updated to support the workspace/peer/session hierarchy with appropriate access controls. + +**Scoped API Keys** +Authentication tokens that can limit access to specific workspaces, peers, or resources for enhanced security and multi-tenant isolation. + +--- + +## Technical Terms + +Advanced technical concepts for power users. + + +These concepts require deeper technical understanding and are primarily for advanced implementations. + + +**Vector Search** +Finding similar content using cosine similarity between vector embeddings for semantic context retrieval. + +**Semantic Search** +Search based on meaning rather than exact keyword matching, used for intelligent context assembly. + +**Token Allocation** +Intelligent management of token usage across context retrieval, summarization, and response generation. + +**Multi-Tenancy** +The ability to serve multiple isolated workspaces from a single Honcho instance with complete data separation. + +--- + +## Cognitive Science Terms + +Cognitive science terms that are used throughout the inspiration and implementation of Honcho + +**Theory of Mind** +The ability of a computer to understand, remember, and interact with its own mind, enabling it to form representations of the world and make decisions based on its own knowledge and behavior. + +**Social Cognition** +The mental processes by which we perceive, interpret, and respond to information about others and social situations. It includes the encoding, storage, retrieval, and application of social knowledge. diff --git a/docs/v2/documentation/introduction/overview.mdx b/docs/v2/documentation/introduction/overview.mdx new file mode 100644 index 00000000..fa62693a --- /dev/null +++ b/docs/v2/documentation/introduction/overview.mdx @@ -0,0 +1,70 @@ +--- +title: "Overview" +description: "Honcho solves context for AI agents by going beyond memory." +icon: "brain" +--- + +Most agents today are stateless - they forget everything between conversations or hit token limits mid-conversation. But even agents with perfect memory still treat every user the same, missing individual psychology and preferences. + +Honcho gives agents [social cognition](../core-concepts/glossary#cognitive-science-terms) - the ability to understand users as individuals, not just conversation histories. + +**Context that scales:** Auto-summarized conversations and context-window management so agents never lose track, regardless of conversation length. + +**User understanding:** Rich psychological profiles built through [theory of mind](../core-concepts/glossary#cognitive-science-terms) "How should I deliver feedback to this user?" or "What's their communication style?" + +**Adaptive interactions:** Instead of generic responses, agents dynamically adjust based on individual user models, creating truly personalized experiences. + +Your agents move from remembering what users said to understanding how they think. The result: AI that feels less like a chatbot, more like someone who actually gets you. + +This is the [dialectic endpoint](glossary#dialectic-endpoint) in action - agents that don't just have context, but have insight. + +## How It Works + +Honcho operates through two integrated layers: + +**Storage Layer**: Captures all user interactions - messages, preferences, and behavioral patterns - in a user-centric data model that scales from individual conversations to complex multi-agent scenarios. + +**Insights Layer**: Continuously analyzes stored interactions to build psychological profiles using [theory of mind](glossary#theory-of-mind) inference, extracting patterns about communication style, decision-making preferences, and mental models. + +Agents access this understanding through the [dialectic endpoint](glossary#dialectic-endpoint) - a natural language API where they can ask specific questions about users and receive actionable insights. + +## Key Capabilities + +### 🗣️ Natural Language User Queries +Ask Honcho about users in plain English: "How should I approach this topic?" or "What's their preferred communication style?" + +### 🔄 Automatic Context Optimization +Smart conversation summarization that respects context windows while preserving psychological continuity. + +### 🏗️ Agent-First Design +Built for AI consumption through MCP connectors and interfaces designed for autonomous agent workflows. + +### 🧠 Theory of Mind Inference +Goes beyond pattern matching to understand user psychology, motivations, and mental models. + +## Ideal For + +**Personalized AI assistants** that need to understand individual psychology, not just remember conversations. + +**Customer-facing agents** that must adapt their approach based on user communication preferences and emotional context. + +**Multi-agent systems** where AI needs to understand human collaborators' working styles and decision-making patterns. + +## Getting Started + +Ready to integrate Honcho into your application? + + + + Get up and running with Honcho in minutes + + + Understand Honcho's fundamental concepts + + + +## Community & Support + +- **GitHub**: [plastic-labs/honcho](https://github.com/plastic-labs/honcho) +- **Discord**: [Join our community](http://discord.gg/plasticlabs) +- **Issues**: Report bugs and request features on GitHub diff --git a/docs/v2/documentation/introduction/quickstart.mdx b/docs/v2/documentation/introduction/quickstart.mdx new file mode 100644 index 00000000..f45b0d61 --- /dev/null +++ b/docs/v2/documentation/introduction/quickstart.mdx @@ -0,0 +1,179 @@ +--- +title: 'Quickstart' +description: 'Start building with Honcho in under 5 minutes.' +icon: 'bolt' +--- + +📢 **Announcing Honcho Platform**: We've raised $5.35M pre-seed from Variant, White Star Capital & Betaworks to build the personal identity layer for AI! + +For production-level use, Honcho offers two powerful ways to leverage ambient personalization: our managed platform and our open source solution. Read further if you want to explore the quickstart demo. + + + + Fully managed, hassle-free solution with one-click deployment + + + Self-hosted, fully customizable, and open source + + + +# Getting Started + +Have your project use Honcho's ambient personalization capabilities in just a few steps. No signup required! + + +This quickstart uses the demo server at https://demo.honcho.dev + + +## 1. Install the SDK + + +```bash Python (uv) +uv add honcho-ai +``` + +```bash Python (pip) +pip install honcho-ai +``` + +```bash TypeScript (npm) +npm install @honcho-ai/sdk +``` + +```bash TypeScript (yarn) +yarn add @honcho-ai/sdk +``` + +```bash TypeScript (pnpm) +pnpm add @honcho-ai/sdk +``` + + +## 2. Initialize the Client + + +```python Python +from honcho import Honcho + +# Initialize client (using the demo environment) +client = Honcho() +``` + +```typescript TypeScript +import { Honcho } from '@honcho-ai/sdk'; + +// Initialize client (using the demo environment) +const client = new Honcho(); +``` + + +## 3. Create Peers + +Peers represent individual users, AI agents, or any conversational entity in your system: + + +```python Python +alice = client.peer("alice") +bob = client.peer("bob") +``` + +```typescript TypeScript +const alice = client.peer("alice") +const bob = client.peer("bob") +``` + + +## 4. Create a Session + +Sessions are independent conversations that can include multiple peers: + + +```python Python +session = client.session("session_1") +session.add_peers([alice, bob]) +``` + +```typescript TypeScript +const session = client.session("session_1") +session.addPeers([alice, bob]) +``` + + +## 5. Add Messages + +Add some conversation messages. Honcho automatically learns from these interactions: + + +```python Python +session.add_messages([ + alice.message("Hi Bob, how are you?"), + bob.message("I'm good, thank you!"), + alice.message("What are you doing today after work?"), + bob.message("I'm going to the gym! I've been trying to get back in shape."), + alice.message("That's great! I should probably start exercising too."), + bob.message("You should! I find that evening workouts help me relax."), +]) +``` + +```typescript TypeScript +session.addMessages([ + alice.message("Hi Bob, how are you?"), + bob.message("I'm good, thank you!"), + alice.message("What are you doing today after work?"), + bob.message("I'm going to the gym! I've been trying to get back in shape."), + alice.message("That's great! I should probably start exercising too."), + bob.message("You should! I find that evening workouts help me relax."), +]) +``` + + +## 6. Query for Insights + +Now ask Honcho what it's learned - this is where the magic happens: + + +```python Python +# Ask what Bob is like +response = alice.chat("Tell me about Bob's interests and habits") +print(response) + +# Returns rich context like: +# "Bob is health-conscious and has been working on getting back in shape. +# He regularly goes to the gym, particularly in the evenings, and finds +# exercise helps him relax. He's encouraging about fitness and willing +# to share advice about workout routines." +``` + +```typescript TypeScript +// Ask what Bob is like +const response = await alice.chat("Tell me about Bob's interests and habits"); +console.log(response); + +// Returns rich context like: +// "Bob is health-conscious and has been working on getting back in shape. +// He regularly goes to the gym, particularly in the evenings, and finds +// exercise helps him relax. He's encouraging about fitness and willing +// to share advice about workout routines." +``` + + +## What Just Happened? + +Honcho automatically built rich psychological profiles from just a few messages: + +- **Theory of Mind Processing**: Understanding personality, preferences, and patterns +- **Ambient Learning**: No surveys or explicit training - just natural conversation +- **Rich Context**: Far more detailed than simple conversation history + +The response isn't just retrieving stored text - it's synthesizing insights about Bob's personality, habits, and communication style. + +## Next Steps + +This covers the core concepts: **peers**, **sessions**, **messages**, and **dialectic queries**. + +- For production use, [sign up for the managed platform](https://app.honcho.dev) or get an [overview here](/v2/documentation/platform/overview). +- For detailed API reference, check out our [SDK documentation](/v2/documentation/platform/sdk). +- For more examples, explore our [guides](/v2/guides). + +--- + diff --git a/docs/v2/documentation/tutorial/guided-tutorial.mdx b/docs/v2/documentation/tutorial/guided-tutorial.mdx new file mode 100644 index 00000000..b1834b1f --- /dev/null +++ b/docs/v2/documentation/tutorial/guided-tutorial.mdx @@ -0,0 +1,425 @@ +--- +title: 'Guided Tutorial' +description: 'Step-by-step tutorial for building with Honcho' +icon: 'graduation-cap' +--- + +This comprehensive tutorial will walk you through building a complete AI application with Honcho, from basic setup to advanced features. + +## What We'll Build + +By the end of this tutorial, you'll have created a personal AI assistant that: +- Learns about users through conversation and remembers facts across sessions +- Automatically formats conversation context for any LLM (OpenAI, Anthropic, etc.) +- Answers questions about what it knows using natural language queries +- Handles multi-party conversations with theory-of-mind modeling + +## Prerequisites + +- Python 3.8 or higher +- Basic understanding of Python +- OpenAI API key (or another LLM provider) + +## Part 1: Basic Setup + +### Install Dependencies + + +```bash pip +pip install honcho-ai openai python-dotenv +``` + +```bash poetry +poetry add honcho-ai openai python-dotenv +``` + + +### Environment Setup + +Create a `.env` file in your project directory: + +```bash +OPENAI_API_KEY=your_openai_api_key_here +HONCHO_API_KEY=your_honcho_api_key_here +``` + +### Initialize Honcho + +```python +import os +from dotenv import load_dotenv +from honcho import Honcho +import openai + +# Load environment variables +load_dotenv() +openai.api_key = os.getenv("OPENAI_API_KEY") + +# Initialize Honcho with your app workspace +honcho = Honcho(workspace_id="personal-assistant-tutorial") +``` + +## Part 2: Peer Management + +### Create and Manage Peers + +```python +def get_user_peer(username): + """Get or create a peer representing a user""" + # Peers are created lazily - no API call until used + user_peer = honcho.peer(f"user-{username}") + print(f"Created peer for user: {username}") + return user_peer + +def get_assistant_peer(): + """Get or create the assistant peer""" + assistant_peer = honcho.peer("assistant") + print("Created assistant peer") + return assistant_peer + +# Create peers for our conversation +alice = get_user_peer("alice") +assistant = get_assistant_peer() + +print(f"User peer ID: {alice.id}") +print(f"Assistant peer ID: {assistant.id}") +``` + +## Part 3: Session Management + +### Create Conversation Sessions + +```python +def start_new_session(session_name=None): + """Start a new conversation session""" + # Create session with descriptive ID + session_id = session_name or f"chat-{int(time.time())}" + session = honcho.session(session_id) + + # Add both peers to the session + session.add_peers([alice, assistant]) + + print(f"Started new session: {session.id}") + return session + +import time +# Start a session +session = start_new_session("daily-checkin") +``` + +### Message Handling + +```python +def add_conversation_turn(session, user_message, assistant_response=None): + """Add a conversation turn to the session""" + messages_to_add = [alice.message(user_message)] + + if assistant_response: + messages_to_add.append(assistant.message(assistant_response)) + + session.add_messages(messages_to_add) + print(f"Added {len(messages_to_add)} messages to session") + +# Add user message +add_conversation_turn(session, "Hi! I'm working on a Python project today.") +``` + +## Part 4: Fact Learning and Memory + +### Store Information in Peer Representations + +```python +def teach_assistant_about_user(assistant_peer, user_peer, facts): + """Add facts about the user to the assistant's knowledge""" + # Format facts as messages to build the assistant's representation + fact_messages = [] + for fact in facts: + fact_messages.append(assistant_peer.message(f"I learned that {user_peer.id} {fact}")) + + # Add these to the assistant's global knowledge + assistant_peer.add_messages(fact_messages) + print(f"Taught assistant {len(facts)} facts about {user_peer.id}") + +def extract_facts_from_message(user_message): + """Extract facts about the user from their message using LLM""" + prompt = f""" + Extract discrete facts about the user from this message: + "{user_message}" + + Return only factual statements about the user, no inferences. + Format as a simple list of facts starting with action verbs or descriptors. + If no facts can be extracted, return an empty list. + Example: "is working on a Python project", "likes morning coffee" + """ + + response = openai.chat.completions.create( + model="gpt-3.5-turbo", + messages=[{"role": "user", "content": prompt}], + temperature=0.1 + ) + + facts_text = response.choices[0].message.content.strip() + + # Parse facts (simple line-by-line approach) + facts = [fact.strip("- ").strip() for fact in facts_text.split('\n') if fact.strip()] + return [fact for fact in facts if fact and len(fact) > 5] + +# Extract and store facts +user_input = "Hi! I'm working on a Python project today." +facts = extract_facts_from_message(user_input) +print(f"Extracted facts: {facts}") + +# Teach the assistant these facts +if facts: + teach_assistant_about_user(assistant, alice, facts) +``` + +## Part 5: LLM Integration with Context + +### Generate Responses Using Built-in Context + +```python +def generate_response_with_context(session, assistant_peer, user_message): + """Generate AI response using Honcho's built-in context management""" + + # Get formatted conversation context - Honcho handles the complexity! + context = session.get_context(tokens=2000) + messages = context.to_openai(assistant=assistant_peer) + + # Add the current user message + messages.append({"role": "user", "content": user_message}) + + # Call your LLM with the properly formatted context + response = openai.chat.completions.create( + model="gpt-3.5-turbo", + messages=messages, + temperature=0.7 + ) + + return response.choices[0].message.content + +# Generate response using built-in context +user_input = "How's my project going?" +ai_response = generate_response_with_context(session, assistant, user_input) + +print(f"AI Response: {ai_response}") + +# Add the complete conversation turn to the session +add_conversation_turn(session, user_input, ai_response) +``` + +### Query Peer Knowledge Directly + +```python +def get_personalized_insight(assistant_peer, user_peer, query): + """Query what the assistant knows about a specific user""" + # Honcho's chat handles context retrieval automatically + response = assistant_peer.chat( + f"Based on what I know about {user_peer.id}: {query}", + target=user_peer + ) + return response + +# Get personalized insights without manual context building +insight = get_personalized_insight( + assistant, + alice, + "What programming projects has this user worked on?" +) +print(f"Programming insights: {insight}") +``` + +## Part 6: Complete Conversation Loop + +### Put It All Together + +```python +def chat_with_assistant(user_peer, assistant_peer, message_text, session=None): + """Complete conversation flow with memory and personalization""" + + # Use existing session or create new one + if not session: + session = start_new_session() + + # Extract facts from user message and teach assistant + facts = extract_facts_from_message(message_text) + if facts: + teach_assistant_about_user(assistant_peer, user_peer, facts) + + # Generate response using Honcho's built-in context management + ai_response = generate_response_with_context(session, assistant_peer, message_text) + + # Add the conversation turn to session + add_conversation_turn(session, message_text, ai_response) + + return ai_response + +# Test the complete flow +response = chat_with_assistant( + alice, + assistant, + "I finished the authentication module for my Python project!" +) +print(f"Assistant: {response}") + +# Continue the conversation +response2 = chat_with_assistant( + alice, + assistant, + "What should I work on next?", + session # Continue in same session +) +print(f"Assistant: {response2}") +``` + +## Part 7: Advanced Features + +### Multi-Session Memory + +```python +def query_user_history(assistant_peer, user_peer, query): + """Query what the assistant knows about the user across all sessions""" + response = assistant_peer.chat( + f"Based on everything I know about {user_peer.id}, {query}", + target=user_peer + ) + return response + +# Query across all conversations +history_query = query_user_history( + assistant, + alice, + "what programming languages and technologies has this user mentioned?" +) +print(f"User's programming history: {history_query}") +``` + +### Session-Specific Context + +```python +def query_session_specific(assistant_peer, session, query): + """Query what happened in a specific session""" + response = assistant_peer.chat( + query, + session_id=session.id + ) + return response + +# Query about current session +session_summary = query_session_specific( + assistant, + session, + "What did we discuss in this conversation?" +) +print(f"Session summary: {session_summary}") +``` + +### Working with Multiple Users + +```python +def create_group_session(user_peers, assistant_peer): + """Create a session with multiple users and an assistant""" + group_session = honcho.session("group-discussion") + + # Add all peers to the session + all_peers = user_peers + [assistant_peer] + group_session.add_peers(all_peers) + + return group_session + +# Create multiple user peers +bob = honcho.peer("user-bob") +charlie = honcho.peer("user-charlie") + +# Create group session +group_session = create_group_session([alice, bob, charlie], assistant) + +# Add group conversation +group_session.add_messages([ + alice.message("I think we should use Python for the backend"), + bob.message("I prefer TypeScript, it's more type-safe"), + charlie.message("What about performance considerations?"), + assistant.message("Both are good choices. Let me help you compare them based on your requirements.") +]) + +# Query different perspectives +alice_view = assistant.chat( + "What does alice think about the technology discussion?", + target=alice, + session_id=group_session.id +) +print(f"Alice's perspective: {alice_view}") +``` + +## Part 8: Advanced Features + +### Direct Knowledge Queries + +```python +# Instead of complex manual context building, use peer.chat() directly +response = assistant.chat("What programming languages does alice prefer and why?", target=alice) +print(f"Alice's language preferences: {response}") + +# Query session-specific knowledge +session_insights = assistant.chat( + "What was the main topic of discussion in this session?", + session_id=session.id +) +print(f"Session insights: {session_insights}") +``` + +### Alternative LLM Formats + +```python +# Honcho supports multiple LLM formats out of the box +def use_anthropic_format(session, assistant_peer, user_message): + """Example using Anthropic's message format""" + context = session.get_context(tokens=1500) + messages = context.to_anthropic(assistant=assistant_peer) + + # Now you can use these messages with Anthropic's API + # anthropic_response = anthropic.messages.create(...) + + return messages + +# Get Anthropic-formatted messages +anthropic_messages = use_anthropic_format(session, assistant, "Hello!") +print(f"Formatted for Anthropic: {len(anthropic_messages)} messages") +``` + +## Next Steps + +Congratulations! You've built a complete personal AI assistant with Honcho that automatically handles memory, context, and LLM integration. Here are some ideas to extend it further: + +1. **Web Interface**: Build a web UI using Flask/FastAPI - the SDK makes it easy to integrate +2. **Streaming Responses**: Use `peer.chat(..., stream=True)` for real-time conversations +3. **Multi-Modal Support**: Integrate with vision models while leveraging Honcho's memory +4. **Advanced Theory-of-Mind**: Explore peer modeling with `observe_others=False` configurations +5. **Production Deployment**: Scale with workspaces, metadata, and batch operations + +## Troubleshooting + +### Common Issues + +**"No module named 'honcho'"** +- Make sure you installed the package: `pip install honcho-ai` + +**API authentication errors** +- Check your `HONCHO_API_KEY` environment variable +- Verify your API key is valid + +**Empty context or knowledge queries** +- Ensure you've added messages to peers before querying +- Check that peers are added to sessions before conversation +- Verify session has messages before getting context + +**Rate limiting or timeout issues** +- The SDK handles retries automatically +- Consider adding delays between large batch operations + +## Resources + +- [SDK Reference](/v2/documentation/platform/sdk) +- [API Reference](/v2/api-reference/introduction) +- [More Examples](/v2/guides/overview) +- [Discord Community](http://discord.gg/plasticlabs) diff --git a/docs/v2/documentation/tutorial/overview.mdx b/docs/v2/documentation/tutorial/overview.mdx new file mode 100644 index 00000000..55ace849 --- /dev/null +++ b/docs/v2/documentation/tutorial/overview.mdx @@ -0,0 +1,139 @@ +--- +title: "Platform Overview" +icon: "rocket" +description: "Honcho is the personal identity platform for AI - enabling truly personalized, contextually aware agents and applications." +--- + + +📢 **Announcing Honcho Platform**: We've raised $5.35M pre-seed from Variant, White Star Capital & Betaworks to build the personal identity layer for AI. Access the hosted platform today! + + + Start using the platform to manage Honcho instances for your workspace or app. + + +## Welcome to Honcho! + +The Honcho Platform is a managed service and the easiest way to add personal memory and identity to your AI applications. Built by the team at Plastic Labs, Honcho enables **ambient personalization** - your AI learns about users automatically as they interact, with no surveys or additional user overhead. + +Honcho Platform Dashboard + +## Why Use the Honcho Dashboard? + +The Honcho management platform streamlines deployment and monitoring so you can focus on building great AI experiences: + +**One-Click Deployment**: Launch dedicated Honcho instances in seconds with zero infrastructure setup. We handle provisioning, scaling, and maintenance automatically. + +**Developer-First Tools**: Create and manage API keys, utilize an API playground with a Postman-like experience, get machine status and performance analytics of your Honcho instance. + +**Production Monitoring**: Real-time analytics, usage metrics, and health monitoring. Track performance and user engagement across all your AI applications. + +Honcho Dashboard Getting Started + +## Go to app.honcho.dev + +Get up and running with Honcho in minutes through our managed platform: + +### **1. Sign Up & Create Your Organization** +Start by creating your account and setting up your organization. Each organization gets isolated workspaces, team management, and dedicated infrastructure for your Honcho instances. + +### **2. Deploy Your Honcho Instance** +One-click deployment creates a dedicated Honcho instance on Fly.io infrastructure. Your instance is automatically provisioned with PostgreSQL + pgvector, background workers, and API endpoints - ready to handle production traffic for your workspace. + +### **3. Generate API Keys** +Create and manage API keys for different environments (development, staging, production). Each key provides secure access to your Honcho instance with granular permissions and usage tracking. + +API Key Management Dashboard + +### **4. Test with API Playground** +Use our Postman-like API playground to test queries, explore endpoints, and validate your integration. Send requests directly to your Honcho instance and see real-time responses with full request/response logging. + +API Playground Interface + +### **5. Monitor Performance & Machine Status** +Track your Honcho instance health, usage metrics, and performance analytics. Monitor API response times, background processing queues, memory usage, and user engagement across all your AI applications. + +Performance Analytics Dashboard + +View the status of your machines running Honcho: +Machine Status + +## What's Happening Under the Hood + +```mermaid + +graph LR + User[User Interacts] --> App[Your AI App] + App --> Honcho[Honcho API] + Honcho --> Theory[Theory of Mind
Processing] + Theory --> Profile[Living User
Representation] + Profile --> Context[Rich Context
for AI] + Context --> App + + +``` + +**1. Users interact naturally** with your AI application +**2. Honcho processes interactions via** using advanced theory of mind inference +**3. Builds living representations** of each user's psychology, preferences, and identity +**4. Provides rich context** to your AI when needed, in natural language + + +**Memory Engine Architecture** +- Hierarchical data storage (Workspaces → Peers / Sessions → Messages) +- Vector similarity search for semantic queries +- Metadata indexing for fast retrieval +- Automatic data organization and cleanup + + +```python +import honcho + +# Initialize client +client = honcho.Client(api_key="your-api-key") + +# Create a workspace for your app +workspace = client.workspaces.create(name="My AI App") + +# Create a peer (user) +peer = client.peers.create( + workspace_id=workspace.id, + name="user_123" +) + +# Get personalized context for AI response +context = client.dialectic.query( + workspace_id=workspace.id, + peer_id=peer.id, + query="What communication style does this user prefer?" +) +# Returns rich, nuanced context about the user +``` + +## Getting Started + +Check out our [Platform Guide](/v2/documentation/platform/guided-tutorial) to start using Honcho platform quickly. + +Or dive into our [API Reference](/v2/api-reference) to explore all available endpoints. + +## Next Steps + + + + Get started with managed Honcho instances + + + Connect with 1000+ developers building with Honcho + + + Follow our comprehensive guides + + + See Honcho in action with real examples + + + +We're excited to see what you'll build with Honcho Platform. Let's create smarter, more personalized AI experiences together! + +--- + +*Ready to build personally aligned AI? [Get started with Honcho →](https://app.honcho.dev)* diff --git a/docs/v2/documentation/tutorial/sdk.mdx b/docs/v2/documentation/tutorial/sdk.mdx new file mode 100644 index 00000000..1c0e6fe4 --- /dev/null +++ b/docs/v2/documentation/tutorial/sdk.mdx @@ -0,0 +1,697 @@ +--- +title: 'SDK Reference' +description: 'Complete SDK documentation and examples for Python and TypeScript' +icon: 'code' +--- + +The Honcho SDKs provide ergonomic interfaces for building agentic AI applications with Honcho in Python and TypeScript/JavaScript. + +## Installation + + +```bash Python (uv) +uv add honcho-ai +``` + +```bash Python (pip) +pip install honcho-ai +``` + +```bash TypeScript (npm) +npm install @honcho-ai/sdk +``` + +```bash TypeScript (yarn) +yarn add @honcho-ai/sdk +``` + +```bash TypeScript (pnpm) +pnpm add @honcho-ai/sdk +``` + + +## Quick Start + + +```python Python +from honcho import Honcho + +# Initialize client (using the default workspace) +honcho = Honcho() + +# Create peers +alice = honcho.peer("alice") +assistant = honcho.peer("assistant") + +# Create a session for conversation +session = honcho.session("conversation-1") + +# Add messages to conversation +session.add_messages([ + alice.message("What's the weather like today?"), + assistant.message("It's sunny and 75°F outside!") +]) + +# Query peer representations in natural language +response = alice.chat("What did the assistant tell this user about the weather?") + +# Get conversation context for LLM completions +context = session.get_context() +openai_messages = context.to_openai(assistant=assistant) +``` + +```typescript TypeScript +import { Honcho } from "@honcho-ai/sdk"; + +// Initialize client (using the default workspace) +const honcho = new Honcho({}); + +// Create peers +const alice = honcho.peer("alice"); +const assistant = honcho.peer("assistant"); + +// Create a session for conversation +const session = honcho.session("conversation-1"); + +// Add messages to conversation +await session.addMessages([ + alice.message("What's the weather like today?"), + assistant.message("It's sunny and 75°F outside!") +]); + +// Query peer representations in natural language +const response = await alice.chat("What did the assistant tell this user about the weather?"); + +// Get conversation context for LLM completions +const context = await session.getContext(); +const openaiMessages = context.toOpenAI(assistant); +``` + + +## Core Concepts + +### Peers and Representations + + +**Representations** are how Honcho models what peers know. Each peer has a **global representation** (everything they know across all sessions) and **local representations** (what other specific peers know about them, scoped by session or globally). + + + +```python Python +# Query alice's global knowledge +response = alice.chat("What does the user know about weather?") + +# Query what alice knows about the assistant (local representation) +response = alice.chat("What does the user know about the assistant?", target=assistant) + +# Query scoped to a specific session +response = alice.chat("What happened in our conversation?", session_id=session.id) +``` + +```typescript TypeScript +// Query alice's global knowledge +const response = await alice.chat("What does the user know about weather?"); + +// Query what alice knows about the assistant (local representation) +const targetResponse = await alice.chat("What does the user know about the assistant?", { + target: assistant +}); + +// Query scoped to a specific session +const sessionResponse = await alice.chat("What happened in our conversation?", { + sessionId: session.id +}); +``` + + +## Core Classes + +### Honcho Client + +The main entry point for workspace operations: + + +```python Python +from honcho import Honcho + +# Basic initialization (uses environment variables) +honcho = Honcho(workspace_id="my-app-name") + +# Full configuration +honcho = Honcho( + workspace_id="my-app-name", + api_key="my-api-key", + environment="production", # or "local", "demo" + base_url="https://api.honcho.dev", + timeout=30.0, + max_retries=3 +) +``` + +```typescript TypeScript +import { Honcho } from "@honcho-ai/sdk"; + +// Basic initialization (uses environment variables) +const honcho = new Honcho({ + workspaceId: "my-app-name" +}); + +// Full configuration +const honcho = new Honcho({ + workspaceId: "my-app-name", + apiKey: "my-api-key", + environment: "production", // or "local", "demo" + baseURL: "https://api.honcho.dev", + timeout: 30000, + maxRetries: 3, + defaultHeaders: { "X-Custom-Header": "value" }, + defaultQuery: { "param": "value" } +}); +``` + + +**Environment Variables:** +- `HONCHO_API_KEY` - API key for authentication +- `HONCHO_BASE_URL` - Base URL for the Honcho API +- `HONCHO_WORKSPACE_ID` - Default workspace ID + +**Key Methods:** + + +```python Python +# Get or create a peer +peer = honcho.peer(id) + +# Get or create a session +session = honcho.session(id) + +# List all peers in workspace +peers = honcho.get_peers() + +# List all sessions in workspace +sessions = honcho.get_sessions() + +# Search across all content in workspace +results = honcho.search(query) + +# Workspace metadata management +metadata = honcho.get_metadata() +honcho.set_metadata(dict) + +# Get list of all workspace IDs +workspaces = honcho.get_workspaces() +``` + +```typescript TypeScript +// Get or create a peer +const peer = honcho.peer(id); + +// Get or create a session +const session = honcho.session(id); + +// List all peers in workspace (returns Page) +const peers = await honcho.getPeers(); + +// List all sessions in workspace (returns Page) +const sessions = await honcho.getSessions(); + +// Search across all content in workspace (returns Page) +const results = await honcho.search(query); + +// Workspace metadata management +const metadata = await honcho.getMetadata(); +await honcho.setMetadata(metadata); + +// Get list of all workspace IDs +const workspaces = await honcho.getWorkspaces(); +``` + + + +Peer and session creation is **lazy** - no API calls are made until you actually use the peer or session. + + +### Peer + +Represents an entity that can participate in conversations: + + +```python Python +# Create peers (lazy creation - no API call yet) +alice = honcho.peer("alice") +assistant = honcho.peer("assistant") + +# Create with immediate configuration +# This will make an API call to create the peer with the custom configuration and/or metadata +alice = honcho.peer("bob", config={"role": "user", "active": True}, metadata={"location": "NYC", "role": "developer"}) + +# Peer properties +print(f"Peer ID: {alice.id}") +print(f"Workspace: {alice.workspace_id}") + +# Chat with peer's representations (supports streaming) +response = alice.chat("What did I have for breakfast?") +response = alice.chat("What do I know about Bob?", target="bob") +response = alice.chat("What happened in session-1?", session_id="session-1") + +# Add content to peer's global representation +alice.add_messages("I love Python programming") +alice.add_messages([ + alice.message("Today I learned about async programming"), + alice.message("I prefer functional programming patterns") +]) + +# Get peer's sessions and messages +sessions = alice.get_sessions() +messages = alice.get_messages() + +# Search peer's content +results = alice.search("programming") + +# Metadata management +metadata = alice.get_metadata() +metadata["location"] = "Paris" +alice.set_metadata(metadata) +``` + +```typescript TypeScript +// Create peers (lazy creation - no API call yet) +const alice = honcho.peer("alice"); +const assistant = honcho.peer("assistant"); + +// Peer properties +console.log(`Peer ID: ${alice.id}`); + +// Chat with peer's representations (supports streaming) +const response = await alice.chat("What did I have for breakfast?"); +const targetResponse = await alice.chat("What do I know about Bob?", { target: "bob" }); +const sessionResponse = await alice.chat("What happened in session-1?", { + sessionId: "session-1" +}); + +// Chat with streaming support +const streamResponse = await alice.chat("Tell me a story", { stream: true }); + +// Add content to peer's global representation +await alice.addMessages("I love TypeScript programming"); +await alice.addMessages([ + alice.message("Today I learned about async programming"), + alice.message("I prefer functional programming patterns") +]); + +// Get peer's sessions and messages +const sessions = await alice.getSessions(); +const messages = await alice.getMessages(); + +// Search peer's content +const results = await alice.search("programming"); + +// Metadata management +const metadata = await alice.getMetadata(); +await alice.setMetadata({ + ...metadata, + location: "Paris" +}); +``` + + +### Session + +Manages multi-party conversations: + + +```python Python +# Create session (like peers, lazy creation) +session = honcho.session("conversation-1") + +# Create with immediate configuration +# This will make an API call to create the session with the custom configuration and/or metadata +session = honcho.session("meeting-1", config={"type": "meeting", "max_peers": 10}) + +# Session properties +print(f"Session ID: {session.id}") +print(f"Workspace: {session.workspace_id}") + +# Peer management +session.add_peers([alice, assistant]) +session.add_peers([(alice, SessionPeerConfig(observe_others=True))]) +session.set_peers([alice, bob, charlie]) # Replace all peers +session.remove_peers([alice]) + +# Get session peers and their configurations +peers = session.get_peers() +peer_config = session.get_peer_config(alice) +session.set_peer_config(alice, SessionPeerConfig(observe_me=False)) + +# Message management +session.add_messages([ + alice.message("Hello everyone!"), + assistant.message("Hi Alice! How can I help today?") +]) + +# Get messages +messages = session.get_messages() + +# Get conversation context +context = session.get_context(summary=True, tokens=2000) + +# Search session content +results = session.search("help") + +# Working representation queries +global_rep = session.working_rep("alice") +targeted_rep = session.working_rep(alice, bob) + +# Metadata management +session.set_metadata({"topic": "product planning", "status": "active"}) +metadata = session.get_metadata() +``` + +```typescript TypeScript +// Create session (like peers, lazy creation) +const session = honcho.session("conversation-1"); + +// Session properties +console.log(`Session ID: ${session.id}`); + +// Peer management +await session.addPeers([alice, assistant]); +await session.addPeers("single-peer-id"); +await session.setPeers([alice, bob, charlie]); // Replace all peers +await session.removePeers([alice]); +await session.removePeers("single-peer-id"); + +// Get session peers +const peers = await session.getPeers(); + +// Message management +await session.addMessages([ + alice.message("Hello everyone!"), + assistant.message("Hi Alice! How can I help today?") +]); + +// Get messages +const messages = await session.getMessages(); + +// Get conversation context +const context = await session.getContext({ summary: true, tokens: 2000 }); + +// Search session content +const results = await session.search("help"); + +// Working representation queries +const globalRep = await session.workingRep("alice"); +const targetedRep = await session.workingRep(alice, bob); + +// Metadata management +await session.setMetadata({ + topic: "product planning", + status: "active" +}); +const metadata = await session.getMetadata(); +``` + + +**Session-Level Theory of Mind Configuration:** + + +**Theory of Mind** controls whether peers can form models of what other peers think. Use `observe_others=False` to prevent a peer from modeling others within a session, and `observe_me=False` to prevent others from modeling this peer within a session. + + + +```python Python +from honcho import SessionPeerConfig + +# Configure peer observation settings +config = SessionPeerConfig( + observe_others=False, # Form theory-of-mind of other peers -- False by default + observe_me=True # Don't let others form theory-of-mind of me -- True by default +) + +session.add_peers([(alice, config)]) +``` + +```typescript TypeScript +// Configure peer observation settings +const config = new SessionPeerConfig({ + observeOthers: false, // Form theory-of-mind of other peers -- False by default + observeMe: true // Don't let others form theory-of-mind of me -- True by default +}); + +await session.addPeers([alice, config]); +``` + + +### SessionContext + +Provides formatted conversation context for LLM integration: + + +```python Python +# Get session context +context = session.get_context(summary=True, tokens=1500) + +# Convert to LLM-friendly formats +openai_messages = context.to_openai(assistant=assistant) +anthropic_messages = context.to_anthropic(assistant=assistant) +``` + +```typescript TypeScript +// Get session context +const context = await session.getContext({ summary: true, tokens: 1500 }); + +// Convert to LLM-friendly formats +const openaiMessages = context.toOpenAI(assistant); +const anthropicMessages = context.toAnthropic(assistant); +``` + + +## Advanced Usage + +### Multi-Party Conversations + + +```python Python +# Create multiple peers +users = [honcho.peer(f"user-{i}") for i in range(5)] +moderator = honcho.peer("moderator") + +# Create group session +group_chat = honcho.session("group-discussion") +group_chat.add_peers(users + [moderator]) + +# Add messages from different peers +group_chat.add_messages([ + users[0].message("What's our agenda for today?"), + moderator.message("We'll discuss the new feature roadmap"), + users[1].message("I have some concerns about the timeline") +]) + +# Query different perspectives +user_perspective = users[0].chat("What are people's concerns?") +moderator_view = moderator.chat("What feedback am I getting?", session_id=group_chat.id) +``` + +```typescript TypeScript +// Create multiple peers +const users = Array.from({ length: 5 }, (_, i) => honcho.peer(`user-${i}`)); +const moderator = honcho.peer("moderator"); + +// Create group session +const groupChat = honcho.session("group-discussion"); +await groupChat.addPeers([...users, moderator]); + +// Add messages from different peers +await groupChat.addMessages([ + users[0].message("What's our agenda for today?"), + moderator.message("We'll discuss the new feature roadmap"), + users[1].message("I have some concerns about the timeline") +]); + +// Query different perspectives +const userPerspective = await users[0].chat("What are people's concerns?"); +const moderatorView = await moderator.chat("What feedback am I getting?", { + sessionId: groupChat.id +}); +``` + + +### LLM Integration + + +```python Python +import openai + +# Get conversation context +context = session.get_context(tokens=3000) +messages = context.to_openai(assistant=assistant) + +# Call OpenAI API +response = openai.chat.completions.create( + model="gpt-4", + messages=messages + [ + {"role": "user", "content": "Summarize the key discussion points."} + ] +) +``` + +```typescript TypeScript +import OpenAI from 'openai'; + +const openai = new OpenAI(); + +// Get conversation context +const context = await session.getContext({ tokens: 3000 }); +const messages = context.toOpenAI(assistant); + +// Call OpenAI API +const response = await openai.chat.completions.create({ + model: "gpt-4", + messages: [ + ...messages, + { role: "user", content: "Summarize the key discussion points." } + ] +}); +``` + + +### Metadata and Filtering + +See [Using Filters](/v2/guides/using-filters) for more examples on how to use filters. + + +```python Python +# Add messages with metadata +session.add_messages([ + alice.message("Let's discuss the budget", metadata={ + "topic": "finance", + "priority": "high" + }), + assistant.message("I'll prepare the financial report", metadata={ + "action_item": True, + "due_date": "2024-01-15" + }) +]) + +# Filter messages by metadata +finance_messages = session.get_messages(filter={"metadata": {"topic": "finance"}}) +action_items = session.get_messages(filter={"metadata": {"action_item": True}}) +``` + +```typescript TypeScript +// Add messages with metadata +await session.addMessages([ + alice.message("Let's discuss the budget", { + metadata: { + topic: "finance", + priority: "high" + } + }), + assistant.message("I'll prepare the financial report", { + metadata: { + action_item: true, + due_date: "2024-01-15" + } + }) +]); + +// Filter messages by metadata +const financeMessages = await session.getMessages({ + filter: { metadata: { topic: "finance" } } +}); +const actionItems = await session.getMessages({ + filter: { metadata: { action_item: true } } +}); +``` + + +### Pagination + + +```python Python +# Iterate through all sessions +for session in honcho.get_sessions(): + print(f"Session: {session.id}") + + # Iterate through session messages + for message in session.get_messages(): + print(f" {message.peer_id}: {message.content}") +``` + +```typescript TypeScript +// Get paginated results +const peersPage = await honcho.getPeers(); + +// Iterate through all items +for await (const peer of peersPage) { + console.log(`Peer: ${peer.id}`); +} + +// Manual pagination +let currentPage = peersPage; +while (currentPage) { + const data = await currentPage.data(); + console.log(`Processing ${data.length} items`); + currentPage = await currentPage.nextPage(); +} +``` + + +## Best Practices + +### Resource Management + + +```python Python +# Peers and sessions are lightweight - create as needed +alice = honcho.peer("alice") +session = honcho.session("chat-1") + +# Use descriptive IDs for better debugging +user_session = honcho.session(f"user-{user_id}-support-{ticket_id}") +support_agent = honcho.peer(f"agent-{agent_id}") +``` + +```typescript TypeScript +// Peers and sessions are lightweight - create as needed +const alice = honcho.peer("alice"); +const session = honcho.session("chat-1"); + +// Use descriptive IDs for better debugging +const userSession = honcho.session(`user-${userId}-support-${ticketId}`); +const supportAgent = honcho.peer(`agent-${agentId}`); +``` + + +### Performance Optimization + + +```python Python +# Lazy creation - no API calls until needed +peers = [honcho.peer(f"user-{i}") for i in range(100)] # Fast + +# Batch operations when possible +session.add_messages([peer.message(f"Message {i}") for i, peer in enumerate(peers)]) + +# Use context limits to control token usage +context = session.get_context(tokens=1500) # Limit context size +``` + +```typescript TypeScript +// Lazy creation - no API calls until needed +const peers = Array.from({ length: 100 }, (_, i) => honcho.peer(`user-${i}`)); // Fast + +// Batch operations when possible +await session.addMessages( + peers.map((peer, i) => peer.message(`Message ${i}`)) +); + +// Use context limits to control token usage +const context = await session.getContext({ tokens: 1500 }); // Limit context size + +// Iterate efficiently with async iteration +for await (const peer of await honcho.getPeers()) { + // Process one peer at a time without loading all into memory +} +``` + diff --git a/docs/v2/guides/ai-assisted-setup.mdx b/docs/v2/guides/ai-assisted-setup.mdx new file mode 100644 index 00000000..c8ce7939 --- /dev/null +++ b/docs/v2/guides/ai-assisted-setup.mdx @@ -0,0 +1,296 @@ +--- +title: "Cursor & Claude: AI-Powered Honcho Setup" +icon: "wand-magic-sparkles" +description: "Build Honcho-powered AI agents quickly using Cursor or Claude. Zero configuration required." +sidebarTitle: 'AI-Assisted Setup' +--- + +Get Honcho up and running in minutes using AI coding assistants. These prompts are specifically optimized for Cursor and Claude to generate production-ready code with minimal effort. + +## 🚀 Quick Start + +Choose your path based on your use case: + +### Personal AI Assistant + +Build an AI assistant that remembers conversations and learns user preferences. + + +Copy this prompt into Cursor or Claude to get a complete implementation: + + +``` +Create a personal AI assistant using Honcho that remembers user preferences and conversations. Requirements: + +REFERENCE DOCUMENTATION: +- Honcho Docs: https://docs.honcho.dev +- Honcho GitHub: https://github.com/plastic-labs/honcho +- Python SDK: https://github.com/plastic-labs/honcho-python +- API Reference: https://docs.honcho.dev/v2/api-reference/introduction + +WHAT TO BUILD: +- Personal assistant that learns about the user automatically +- Remembers preferences, habits, and conversation history +- Provides personalized responses based on past interactions +- Uses Honcho's demo server (no setup required) + +TECHNICAL SETUP: +- Python with Honcho SDK and OpenAI +- Simple command-line interface for testing +- Environment: Use demo.honcho.dev (no API key needed) +- LLM: OpenAI GPT-4 (provide env var setup) + +CODE REQUIREMENTS: +- Complete working example with extensive comments +- Error handling and user-friendly messages +- Demonstration of key Honcho concepts: + * Creating peers (user and assistant) + * Managing sessions and conversations + * Automatic learning from interactions + * Querying learned information + * Getting context for AI responses + +EXAMPLE WORKFLOW: +1. User starts conversation with assistant +2. Assistant responds using any existing knowledge about user +3. System automatically learns facts from the conversation +4. System stores conversation in session +5. Future conversations reference past interactions + +Include installation instructions, environment setup, and example conversations to test. +``` + +### Discord Bot with Memory + +Create a Discord bot that learns about server members and provides personalized interactions. + +``` +Build a Discord bot using Honcho that learns about server members and provides personalized interactions. + +REFERENCE DOCUMENTATION: +- Honcho Docs: https://docs.honcho.dev +- Honcho GitHub: https://github.com/plastic-labs/honcho +- Python SDK: https://github.com/plastic-labs/honcho-python +- Discord Guide: https://docs.honcho.dev/v2/guides/discord +- API Reference: https://docs.honcho.dev/v2/api-reference/introduction + +STARTER TEMPLATE: +- Use the official discord-python-starter from Plastic Labs: https://github.com/plastic-labs/discord-python-starter +- This template already includes Honcho integration, py-cord, and fly.io deployment +- Modify the existing bot.py file to add enhanced memory features + +WHAT TO BUILD: +- Discord bot with persistent memory using Honcho +- Learns about users through natural conversation +- Provides personalized responses based on user history +- Handles multi-user conversations with context awareness +- Extends the starter template with advanced memory features + +TECHNICAL SETUP: +- Clone the discord-python-starter repository +- Python with py-cord, Honcho SDK, and OpenRouter LLM support +- Uses uv for package management (already configured) +- Environment variables template provided (.env.template) +- Docker and fly.io deployment ready + +CORE FEATURES TO ADD: +- Enhanced per-user memory and personality modeling +- Channel-specific session management +- Theory-of-mind queries ("What does this user like?") +- Advanced fact extraction from conversations +- Multi-participant conversation handling +- Slash commands for memory management + +IMPLEMENTATION REQUIREMENTS: +- Extend the existing on_message function with memory features +- Add new slash commands for memory testing and management +- Integrate Honcho's dialectic API for personalized responses +- Add session management for different channels +- Implement background fact learning and storage +- Error handling and comprehensive logging + +DEPLOYMENT: +- Use the included fly.toml for deployment +- Environment variable management with fly secrets +- Docker containerization (Dockerfile provided) + +Include examples of enhanced bot interactions and memory demonstrations. +``` + +## 🎯 Using Cursor + +### Setup Workflow + + + + ```bash + # Create project + mkdir my-honcho-agent + cd my-honcho-agent + + # Open in Cursor + cursor . + + # Use Cmd+L to open AI chat + # Paste one of the prompts above + ``` + + + ```bash + # Clone the starter template + git clone https://github.com/plastic-labs/discord-python-starter.git + cd discord-python-starter + + # Install dependencies + uv sync + + # Configure environment + cp .env.template .env + # Add your Discord token and API keys + ``` + + + +### Cursor Tips + + + + Use `@codebase` to ask questions about your entire project + + + Use `@docs https://docs.honcho.dev` for documentation context + + + Ask Cursor to write comprehensive tests for your Honcho integration + + + Request specific improvements: "Add better error handling" + + + +## 🤖 Claude Workflows + +### Rapid Development + +``` +I want to quickly prototype an AI agent with Honcho. Help me build: + +REFERENCE DOCUMENTATION: +- Honcho Docs: https://docs.honcho.dev +- Honcho GitHub: https://github.com/plastic-labs/honcho +- Quickstart Guide: https://docs.honcho.dev/v2/documentation/introduction/quickstart +- SDK Documentation: https://docs.honcho.dev/v2/documentation/platform/sdk + +1. SETUP: Complete development environment with Honcho demo server +2. CORE: Basic peer/session/message workflow with memory +3. INTEGRATION: OpenAI LLM integration with context management +4. TESTING: Simple test cases to verify memory functionality +5. ITERATION: Framework for adding features incrementally + +Focus on: +- Working code over perfect architecture +- Clear comments explaining Honcho concepts +- Easy-to-modify structure for experimentation +- Immediate feedback and testing capabilities + +Start with the most minimal viable example and show me how to extend it. +``` + +### Production Deployment + +``` +Help me deploy my Honcho application to production: + +REFERENCE DOCUMENTATION: +- Self-Hosting Guide: https://docs.honcho.dev/v2/contributing/self-hosting +- Configuration Guide: https://docs.honcho.dev/v2/contributing/configuration-guide +- Platform Overview: https://docs.honcho.dev/v2/documentation/platform/overview + +REQUIREMENTS: +- Environment configuration and secrets management +- Database setup and migrations +- API authentication and rate limiting +- Monitoring and logging setup +- Deployment automation + +Provide step-by-step deployment instructions for [Fly.io/Vercel/Railway/Heroku]. +``` + +## 💡 Common Patterns + +### Basic Conversation Flow + +1. **Initialize**: Create peers and start a session +2. **Converse**: Exchange messages between user and assistant +3. **Learn**: Honcho automatically extracts facts from conversations +4. **Remember**: Future conversations use accumulated context +5. **Personalize**: Responses adapt based on learned information + +### Advanced Features + + + + Implement separate memory contexts for different users or channels + + + Manage conversation history to stay within LLM token limits + + + Query and update the knowledge graph programmatically + + + Use dialectic API to reason about user preferences and mental states + + + +## 🛠️ Troubleshooting + + +```text Connection Issues +"My Honcho connection is failing with [ERROR]. Here's my environment setup: [paste code]. What's wrong and how do I fix it?" +``` + +```text Memory Not Persisting +"The agent isn't remembering conversations between sessions. Here's my session management code: [paste code]. Help me debug this." +``` + +```text Performance Optimization +"My Honcho queries are slow. Here's my implementation: [paste code]. How can I optimize this?" +``` + +```text Integration Problems +"I'm trying to integrate Honcho with [SYSTEM] but getting [ERROR]. Here's my approach: [paste code]. What's the correct way to do this?" +``` + + +## 🚀 Next Steps + +After your initial setup: + +1. **Add Features**: Extend with voice input, web UI, or API endpoints +2. **Improve Memory**: Implement custom fact extraction and retrieval +3. **Scale Up**: Add caching, background processing, and optimization +4. **Deploy**: Move from demo server to production environment +5. **Monitor**: Add logging, metrics, and error tracking + +## 📚 Resources + +### Documentation +- **Main Docs**: [docs.honcho.dev](https://docs.honcho.dev) +- **API Reference**: [docs.honcho.dev/v2/api-reference](https://docs.honcho.dev/v2/api-reference/introduction) + +### Code & Examples +- **Honcho Core**: [github.com/plastic-labs/honcho](https://github.com/plastic-labs/honcho) +- **Python SDK**: [github.com/plastic-labs/honcho-python](https://github.com/plastic-labs/honcho-python) +- **TypeScript SDK**: [github.com/plastic-labs/honcho-node](https://github.com/plastic-labs/honcho-node) +- **Discord Starter**: [github.com/plastic-labs/discord-python-starter](https://github.com/plastic-labs/discord-python-starter) + +### Key Concepts for AI Prompts +When working with AI assistants, mention these concepts: +- **Core**: "peers, sessions, messages, facts" +- **Advanced**: "dialectic API, theory of mind, context management" +- **Integration**: "LLM context injection, session persistence, multi-user handling" + + +**Pro Tip**: Be specific about your requirements and constraints when prompting AI. The more context you provide, the better the generated code will match your needs. + \ No newline at end of file diff --git a/docs/v2/guides/dialectic-endpoint.mdx b/docs/v2/guides/dialectic-endpoint.mdx new file mode 100644 index 00000000..ed089d61 --- /dev/null +++ b/docs/v2/guides/dialectic-endpoint.mdx @@ -0,0 +1,90 @@ +--- +title: "Dialectic Endpoint" +description: "An endpoint for reasoning about your users" +icon: "comments" +--- + +Honcho by default runs ambient inference on top of the `message` objects you store. Those messages serve as the ground truth upon which facts about the user are derived and stored. The **Dialectic Endpoint** is the natural language interface through which insights are synthesized from those facts. We believe [intellectual respect](https://blog.plasticlabs.ai/extrusions/Extrusion-02.24) for LLMs is paramount in building effective AI agents/apps. It follows that the LLM should know better than any human what would aid them in their generation task. Thus, the Dialectic endpoint exists for flexible agent-to-agent communication. + +## Automatic Fact Derivation + +On every message written to a session, an automatic callback is run that will reason about the conversation and store facts in a `collection` named `honcho`. This is a reserved `collection` specifically for the backend Honcho agent to interact with. + +## Dialectic Endpoint + +The Dialectic endpoint allows you to define logic enabling your agent to talk to our agent that automatically retrieves and synthesizes facts from the collection. You can use the response as part of your reasoning process for your agent–add it to your next prompt to inject critical context about the user. + +This chat interface is exposed via the `peer.chat()` endpoint. It accepts a string or a list of strings. Below is some example code on how this works. + +## Prerequisites + + +```python Python +from honcho import Honcho + +# use the default workspace +honcho = Honcho() + +# get/create a peer +peer = honcho.peer("demo-user") + +# get/create a session +session = honcho.session("demo-session") + +# (assuming some messages have been written to Honcho for the deriver to use) +``` + +```typescript TypeScript +import Honcho from '@honcho-ai/sdk'; + +// use the default workspace +const honcho = new Honcho(); + +// get/create a peer +const peer = await honcho.peer('demo-user'); + +// get/create a session +const session = await honcho.session('demo-session'); + +// (assuming some messages have been written to Honcho for the deriver to use) +``` + +## Static Dialectic Call + + +```python Python +query = "What is the user's favorite way of completing the task?" +answer = peer.chat(query) +``` + +```typescript TypeScript +const query = "What is the user's favorite way of completing the task?" +const dialecticResponse = await peer.chat(query) +``` + + +## Streaming Dialectic Call + + +```python Python +query = "What do we know about the user?" +response_stream = peer.chat(query, stream=True) + +for line in response_stream.iter_text(): + print(line) +``` + +```typescript TypeScript +const query = "What do we know about the user?" +const responseStream = await peer.chat(query, { stream: true }) + +for await (const line of responseStream.iter_text()) { + console.log(line) +} +``` + + +We've designed the Dialectic endpoint to be infinitely flexible. We wrote an incomplete list of ideas on how to use it on our blog [here](https://blog.plasticlabs.ai/blog/Introducing-Honcho's-Dialectic-API#how-it-works). + + + diff --git a/docs/v2/guides/discord.mdx b/docs/v2/guides/discord.mdx new file mode 100644 index 00000000..c91b9df0 --- /dev/null +++ b/docs/v2/guides/discord.mdx @@ -0,0 +1,254 @@ +--- +title: "Discord Bots with Honcho" +icon: 'discord' +description: "Use Honcho to build a Discord bot with conversational memory and context management." +sidebarTitle: 'Discord Bot' +--- + +> Example code is available on [GitHub](https://github.com/plastic-labs/discord-python-starter) + +Any application interface that defines logic based on events and supports +special commands can work easily with Honcho. Here's how to use Honcho with +**Discord** as an interface. If you're not familiar with Discord bot +application logic, the [py-cord](https://pycord.dev/) docs would be a good +place to start. + +## Events + +Most Discord bots have async functions that listen for specific events, the most common one being messages. We can use Honcho to store messages by user and session based on an interface's event logic. Take the following function definition for example: + +```python +@bot.event +async def on_message(message): + """ + Receive a message from Discord and respond with a message from our LLM assistant. + """ + if not validate_message(message): + return + + input = sanitize_message(message) + + # If the message is empty after sanitizing, ignore it + if not input: + return + + peer = honcho_client.peer(id=get_peer_id_from_discord(message)) + session = honcho_client.session(id=str(message.channel.id)) + + async with message.channel.typing(): + response = llm(session, input) + + await send_discord_message(message, response) + + # Save both the user's message and the bot's response to the session + session.add_messages( + [ + peer.message(input), + assistant.message(response), + ] + ) +``` + +Let's break down what this code is doing... + +```python +@bot.event +async def on_message(message): + if not validate_message(message): + return +``` + +This is how you define an event function in `py-cord` that listens for messages. We use a helper function `validate_message()` to check if the message should be processed. + +## Helper Functions + +The code uses several helper functions to keep the main logic clean and readable. Let's examine each one: + +### Message Validation + +```python +def validate_message(message) -> bool: + """ + Determine if the message is valid for the bot to respond to. + Return True if it is, False otherwise. Currently, the bot will + only respond to messages that tag it with an @mention in a + public channel and are not from the bot itself. + """ + if message.author == bot.user: + # ensure the bot does not reply to itself + return False + + if isinstance(message.channel, discord.DMChannel): + return False + + if not bot.user.mentioned_in(message): + return False + + return True +``` + +This function centralizes all the logic for determining whether the bot should respond to a message. It checks that: +- The message isn't from the bot itself +- The message isn't in a DM channel +- The bot is mentioned in the message + +### Message Sanitization + +```python +def sanitize_message(message) -> str | None: + """Remove the bot's mention from the message content if present""" + content = message.content.replace(f"<@{bot.user.id}>", "").strip() + if not content: + return None + return content +``` + +This helper removes the bot's mention from the message content, leaving just the actual user input. + +### Peer ID Generation + +```python +def get_peer_id_from_discord(message): + """Get a Honcho peer ID for the message author""" + return f"discord_{str(message.author.id)}" +``` + +This creates a unique peer identifier for each Discord user by prefixing their Discord ID. + +### LLM Integration + +```python +def llm(session, prompt) -> str: + """ + Call the LLM with the given prompt and chat history. + + You should expand this function with custom logic, prompts, etc. + """ + messages: list[dict[str, object]] = session.get_context().to_openai( + assistant=assistant + ) + messages.append({"role": "user", "content": prompt}) + + try: + completion = openai.chat.completions.create( + model=MODEL_NAME, + messages=messages, + ) + return completion.choices[0].message.content + except Exception as e: + print(e) + return f"Error: {e}" +``` + +This function handles the LLM interaction. It uses Honcho's built-in `to_openai()` method to automatically convert the session context into the format expected by OpenAI's chat completions API. + +### Message Sending + +```python +async def send_discord_message(message, response_content: str): + """Send a message to the Discord channel""" + if len(response_content) > 1500: + # Split response into chunks at newlines, keeping under 1500 chars + chunks = [] + current_chunk = "" + for line in response_content.splitlines(keepends=True): + if len(current_chunk) + len(line) > 1500: + chunks.append(current_chunk) + current_chunk = line + else: + current_chunk += line + if current_chunk: + chunks.append(current_chunk) + + for chunk in chunks: + await message.channel.send(chunk) + else: + await message.channel.send(response_content) +``` + +This function handles sending messages to Discord, automatically splitting long responses into multiple messages to stay within Discord's character limits. + +## Honcho Integration + +The new Honcho peer/session API makes integration much simpler: + +```python +peer = honcho_client.peer(id=get_peer_id_from_discord(message)) +session = honcho_client.session(id=str(message.channel.id)) +``` + +Here we create a peer object for the user and a session object using the Discord channel ID. This automatically handles user and session management. + +```python +# Save both the user's message and the bot's response to the session +session.add_messages( + [ + peer.message(input), + assistant.message(response), + ] +) +``` + +After generating the response, we save both the user's input and the bot's response to the session using the `add_messages()` method. The `peer.message()` creates a message from the user, while `assistant.message()` creates a message from the assistant. + +## Slash Commands + +Discord bots also offer slash command functionality. Here's an example using Honcho's dialectic feature: + +```python +@bot.slash_command( + name="dialectic", + description="Query the Honcho Dialectic endpoint.", +) +async def dialectic(ctx, query: str): + await ctx.defer() + + try: + peer = honcho_client.peer(id=get_peer_id_from_discord(ctx)) + session = honcho_client.session(id=str(ctx.channel.id)) + + response = peer.chat( + queries=query, + session_id=session.id, + ) + + if response: + await ctx.followup.send(response) + else: + await ctx.followup.send( + f"I don't know anything about {ctx.author.name} because we haven't talked yet!" + ) + except Exception as e: + logger.error(f"Error calling Dialectic API: {e}") + await ctx.followup.send( + f"Sorry, there was an error processing your request: {str(e)}" + ) +``` + +This slash command uses Honcho's dialectic functionality to answer questions about the user based on their conversation history. + +## Setup and Configuration + +The bot requires several environment variables and setup: + +```python +honcho_client = Honcho() +assistant = honcho_client.peer(id="assistant", config={"observe_me": False}) +openai = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=MODEL_API_KEY) +``` + +- `honcho_client`: The main Honcho client +- `assistant`: A peer representing the bot/assistant +- `openai`: OpenAI client configured to use OpenRouter + +## Recap + +The new Honcho peer/session API makes Discord bot integration much simpler and more intuitive. Key patterns we learned: + +- **Peer/Session Model**: Users are represented as peers, conversations as sessions +- **Automatic Context Management**: `session.get_context().to_openai()` automatically formats chat history +- **Message Storage**: `session.add_messages()` stores both user and assistant messages +- **Dialectic Queries**: `peer.chat()` enables querying conversation history +- **Helper Functions**: Clean code organization with focused helper functions + +This approach provides a clean, maintainable structure for building Discord bots with conversational memory and context management. \ No newline at end of file diff --git a/docs/v2/guides/get-context.mdx b/docs/v2/guides/get-context.mdx new file mode 100644 index 00000000..c5f143b1 --- /dev/null +++ b/docs/v2/guides/get-context.mdx @@ -0,0 +1,506 @@ +--- +title: 'Working with Session Context' +description: 'Learn how to use get_context() to retrieve and format conversation context for LLM integration' +icon: 'messages' +--- + +The `get_context()` method is a powerful feature that retrieves formatted conversation context from sessions, making it easy to integrate with LLMs like OpenAI, Anthropic, and others. This guide covers everything you need to know about working with session context. + +By default, the context includes a blend of summary and messages which covers the entire history of the session. Summaries are automatically generated at intervals and recent messages are included depending on how many tokens the context is intended to be. You can specify any token limit you want, and can disable summaries to fill that limit entirely with recent messages. + +## Basic Usage + +The `get_context()` method is available on all Session objects and returns a `SessionContext` that contains the formatted conversation history. + + +```python Python +from honcho import Honcho + +# Initialize client and create session +honcho = Honcho() +session = honcho.session("conversation-1") + +# Get basic context (not very useful before adding any messages!) +context = session.get_context() +``` + +```typescript TypeScript +import { Honcho } from "@honcho-ai/sdk"; + +// Initialize client and create session +const honcho = new Honcho({}); +const session = honcho.session("conversation-1"); + +// Get basic context (not very useful before adding any messages!) +const context = await session.getContext(); +``` + + +## Context Parameters + +The `get_context()` method accepts several optional parameters to customize the retrieved context: + +### Token Limits + +Control the size of the context by setting a maximum token count: + + +```python Python +# Limit context to 1500 tokens +context = session.get_context(tokens=1500) + +# Limit context to 3000 tokens for larger conversations +context = session.get_context(tokens=3000) +``` + +```typescript TypeScript +// Limit context to 1500 tokens +const context = await session.getContext({ tokens: 1500 }); + +// Limit context to 3000 tokens for larger conversations +const context = await session.getContext({ tokens: 3000 }); +``` + + +### Summary Mode + +Enable summary mode (on by default) to get a condensed version of the conversation: + + +```python Python +# Get context with summary enabled -- will contain both summary and messages +context = session.get_context(summary=True) + +# Combine summary=False with token limits to get more messages +context = session.get_context(summary=False, tokens=2000) +``` + +```typescript TypeScript +// Get context with summary enabled -- will contain both summary and messages +const context = await session.getContext({ summary: true }); + +// Combine summary=False with token limits to get more messages +const context = await session.getContext({ + summary: false, + tokens: 2000 +}); +``` + + +## Converting to LLM Formats + +The `SessionContext` object provides methods to convert the context into formats compatible with popular LLM APIs. When converting to OpenAI format, you must specify the assistant peer to format the context in such a way that the LLM can understand it. + +### OpenAI Format + +Convert context to OpenAI's chat completion format: + + +```python Python +# Create peers +alice = honcho.peer("alice") +assistant = honcho.peer("assistant") + +# Add some conversation +session.add_messages([ + alice.message("What's the weather like today?"), + assistant.message("It's sunny and 75°F outside!") +]) + +# Get context and convert to OpenAI format +context = session.get_context() +openai_messages = context.to_openai(assistant=assistant) + +# The messages are now ready for OpenAI API +print(openai_messages) +# [ +# {"role": "user", "content": "What's the weather like today?"}, +# {"role": "assistant", "content": "It's sunny and 75°F outside!"} +# ] +``` + +```typescript TypeScript +// Create peers +const alice = honcho.peer("alice"); +const assistant = honcho.peer("assistant"); + +// Add some conversation +await session.addMessages([ + alice.message("What's the weather like today?"), + assistant.message("It's sunny and 75°F outside!") +]); + +// Get context and convert to OpenAI format +const context = await session.getContext(); +const openaiMessages = context.toOpenAI(assistant); + +// The messages are now ready for OpenAI API +console.log(openaiMessages); +// [ +// {"role": "user", "content": "What's the weather like today?"}, +// {"role": "assistant", "content": "It's sunny and 75°F outside!"} +// ] +``` + + +### Anthropic Format + +Convert context to Anthropic's Claude format: + + +```python Python +# Get context and convert to Anthropic format +context = session.get_context() +anthropic_messages = context.to_anthropic(assistant=assistant) + +# Ready for Anthropic API +print(anthropic_messages) +``` + +```typescript TypeScript +// Get context and convert to Anthropic format +const context = await session.getContext(); +const anthropicMessages = context.toAnthropic(assistant); + +// Ready for Anthropic API +console.log(anthropicMessages); +``` + + +## Complete LLM Integration Examples + +### Using with OpenAI + + +```python Python +import openai +from honcho import Honcho + +# Initialize clients +honcho = Honcho() +openai_client = openai.OpenAI() + +# Set up conversation +session = honcho.session("support-chat") +user = honcho.peer("user-123") +assistant = honcho.peer("support-bot") + +# Add conversation history +session.add_messages([ + user.message("I'm having trouble with my account login"), + assistant.message("I can help you with that. What error message are you seeing?"), + user.message("It says 'Invalid credentials' but I'm sure my password is correct") +]) + +# Get context for LLM +messages = session.get_context(tokens=2000).to_openai(assistant=assistant) + +# Add new user message and get AI response +messages.append({ + "role": "user", + "content": "Can you reset my password?" +}) + +response = openai_client.chat.completions.create( + model="gpt-4", + messages=messages +) + +# Add AI response back to session +session.add_messages([ + user.message("Can you reset my password?"), + assistant.message(response.choices[0].message.content) +]) +``` + +```typescript TypeScript +import OpenAI from 'openai'; +import { Honcho } from "@honcho-ai/sdk"; + +// Initialize clients +const honcho = new Honcho({}); +const openai = new OpenAI(); + +// Set up conversation +const session = honcho.session("support-chat"); +const user = honcho.peer("user-123"); +const assistant = honcho.peer("support-bot"); + +// Add conversation history +await session.addMessages([ + user.message("I'm having trouble with my account login"), + assistant.message("I can help you with that. What error message are you seeing?"), + user.message("It says 'Invalid credentials' but I'm sure my password is correct") +]); + +// Get context for LLM +const messages = await session.getContext({ tokens: 2000 }).toOpenAI(assistant); + +// Add new user message and get AI response +const response = await openai.chat.completions.create({ + model: "gpt-4", + messages: [ + ...messages, + { role: "user", content: "Can you reset my password?" } + ] +}); + +// Add AI response back to session +await session.addMessages([ + user.message("Can you reset my password?"), + assistant.message(response.choices[0].message.content) +]); +``` + + +### Multi-Turn Conversation Loop + + +```python Python +def chat_loop(): + """Example of a continuous chat loop using get_context()""" + + session = honcho.session("chat-session") + user = honcho.peer("user") + assistant = honcho.peer("ai-assistant") + + while True: + # Get user input + user_input = input("You: ") + if user_input.lower() in ['quit', 'exit']: + break + + # Add user message to session + session.add_messages([user.message(user_input)]) + + # Get conversation context + context = session.get_context(tokens=2000) + messages = context.to_openai(assistant=assistant) + + # Get AI response + response = openai_client.chat.completions.create( + model="gpt-4", + messages=messages + ) + + ai_response = response.choices[0].message.content + print(f"Assistant: {ai_response}") + + # Add AI response to session + session.add_messages([assistant.message(ai_response)]) + +# Start the chat loop +chat_loop() +``` + +```typescript TypeScript +async function chatLoop() { + const session = honcho.session("chat-session"); + const user = honcho.peer("user"); + const assistant = honcho.peer("ai-assistant"); + + // This would be replaced with actual user input handling in a real app + const userInputs = [ + "Hello, how are you?", + "What's the weather like?", + "Tell me a joke" + ]; + + for (const userInput of userInputs) { + console.log(`You: ${userInput}`); + + // Add user message to session + await session.addMessages([user.message(userInput)]); + + // Get conversation context + const context = await session.getContext({ tokens: 2000 }); + const messages = context.toOpenAI(assistant); + + // Get AI response + const response = await openai.chat.completions.create({ + model: "gpt-4", + messages: messages + }); + + const aiResponse = response.choices[0].message.content; + console.log(`Assistant: ${aiResponse}`); + + // Add AI response to session + await session.addMessages([assistant.message(aiResponse)]); + } +} + +// Start the chat loop +await chatLoop(); +``` + + +## Advanced Context Usage + +### Context with Summaries for Long Conversations + +For very long conversations, use summaries to maintain context while controlling token usage: + + +```python Python +# For long conversations, use summary mode +long_session = honcho.session("long-conversation") + +# Get summarized context to fit within token limits +context = long_session.get_context(summary=True, tokens=1500) +messages = context.to_openai(assistant=assistant) + +# This will include a summary of older messages and recent full messages +print(f"Context contains {len(messages)} formatted messages") +``` + +```typescript TypeScript +// For long conversations, use summary mode +const longSession = honcho.session("long-conversation"); + +// Get summarized context to fit within token limits +const context = await longSession.getContext({ + summary: true, + tokens: 1500 +}); +const messages = context.toOpenAI(assistant); + +// This will include a summary of older messages and recent full messages +console.log(`Context contains ${messages.length} formatted messages`); +``` + + +### Context for Different Assistant Types + +You can get context formatted for different types of assistants in the same session: + + +```python Python +# Create different assistant peers +chatbot = honcho.peer("chatbot") +analyzer = honcho.peer("data-analyzer") +moderator = honcho.peer("moderator") + +# Get context formatted for each assistant type +chatbot_context = session.get_context().to_openai(assistant=chatbot) +analyzer_context = session.get_context().to_openai(assistant=analyzer) +moderator_context = session.get_context().to_openai(assistant=moderator) + +# Each context will format the conversation from that assistant's perspective +``` + +```typescript TypeScript +// Create different assistant peers +const chatbot = honcho.peer("chatbot"); +const analyzer = honcho.peer("data-analyzer"); +const moderator = honcho.peer("moderator"); + +// Get context formatted for each assistant type +const context = await session.getContext(); +const chatbotContext = context.toOpenAI(chatbot); +const analyzerContext = context.toOpenAI(analyzer); +const moderatorContext = context.toOpenAI(moderator); + +// Each context will format the conversation from that assistant's perspective +``` + + +## Best Practices + +### 1. Token Management + +Always set appropriate token limits to control costs and ensure context fits within LLM limits: + + +```python Python +# Good: Set reasonable token limits based on your model +context = session.get_context(tokens=3000) # For GPT-4 +context = session.get_context(tokens=1500) # For smaller models + +# Good: Use summaries for very long conversations +context = session.get_context(summary=True, tokens=2000) +``` + +```typescript TypeScript +// Good: Set reasonable token limits based on your model +const context = await session.getContext({ tokens: 3000 }); // For GPT-4 +const context = await session.getContext({ tokens: 1500 }); // For smaller models + +// Good: Use summaries for very long conversations +const context = await session.getContext({ summary: true, tokens: 2000 }); +``` + + +### 2. Context Caching + +For applications with frequent context retrieval, consider caching context when appropriate: + + +```python Python +# Cache context for multiple LLM calls within the same request +context = session.get_context(tokens=2000) +openai_messages = context.to_openai(assistant=assistant) +anthropic_messages = context.to_anthropic(assistant=assistant) + +# Use the same context object for multiple format conversions +``` + +```typescript TypeScript +// Cache context for multiple LLM calls within the same request +const context = await session.getContext({ tokens: 2000 }); +const openaiMessages = context.toOpenAI(assistant); +const anthropicMessages = context.toAnthropic(assistant); + +// Use the same context object for multiple format conversions +``` + + +### 3. Error Handling + +Always handle potential errors when working with context: + + +```python Python +try: + context = session.get_context(tokens=2000) + messages = context.to_openai(assistant=assistant) + + # Use messages with LLM API + response = openai_client.chat.completions.create( + model="gpt-4", + messages=messages + ) + +except Exception as e: + print(f"Error getting context: {e}") + # Handle error appropriately +``` + +```typescript TypeScript +try { + const context = await session.getContext({ tokens: 2000 }); + const messages = context.toOpenAI(assistant); + + // Use messages with LLM API + const response = await openai.chat.completions.create({ + model: "gpt-4", + messages: messages + }); + +} catch (error) { + console.error(`Error getting context: ${error}`); + // Handle error appropriately +} +``` + + +## Conclusion + +The `get_context()` method is essential for integrating Honcho sessions with LLMs. By understanding how to: + +- Retrieve context with appropriate parameters +- Convert context to LLM-specific formats +- Manage token limits and summaries +- Handle multi-turn conversations + +You can build sophisticated AI applications that maintain conversation history and context across interactions while integrating seamlessly with popular LLM providers. diff --git a/docs/v2/guides/mcp.mdx b/docs/v2/guides/mcp.mdx new file mode 100644 index 00000000..19e70232 --- /dev/null +++ b/docs/v2/guides/mcp.mdx @@ -0,0 +1,62 @@ +--- +title: "Honcho MCP" +icon: 'star-of-life' +description: "Use Honcho in Claude Desktop" +sidebarTitle: 'MCP Integration' +--- + +You can let Claude use Honcho to manage its own memory in the native desktop app by using the Honcho MCP integration! Follow these steps: + +1. Clone the `honcho-mcp` repo: + +``` +git clone git@github.com:plastic-labs/honcho-mcp.git +``` + +2. Navigate into the `honcho-mcp` folder. + +``` +cd honcho-mcp +``` + +3. Sync the virtual environment. This package uses [uv](https://docs.astral.sh/uv/), [install](https://docs.astral.sh/uv/#installation) if you haven't. + +``` +uv sync +``` + +4. In Claude Desktop, go to the *top left Mac Toolbar* Settings > Developer and click "Edit Config" + +5. Add the following (and update paths!): + +``` +{ + "mcpServers": { + "Honcho": { + "command": "/path/to/uv", + "args": [ + "run", + "--with", + "mcp[cli]", + "mcp", + "run", + "/path/to/honcho-mcp/main.py" + ] + } + } +} +``` + +You probably will need to put the full path to the uv executable in the command field. You can get this by running `which uv` on MacOS/Linux or `where uv` on Windows. + +6. Restart the Claude Desktop app. Upon relaunch it should start Honcho and the tools should be available! + +Just note that, by default, the MCP server is set up to use the Honcho Demo server, which only persists data for 7 days. If you're using the hosted version of Honcho, copy the `.env.template` to a proper `.env` file and update the URL and API key variables accordingly. + +## Project Instructions + +Finally, Claude needs instructions on how to use Honcho. The Desktop app doesn't allow you to add system prompts directly, but you can create a project and paste these [instructions](https://github.com/plastic-labs/honcho-mcp/blob/main/instructions.txt) into the "Project Instructions" field. + +Be sure to update the \ and \ variables in the instructions.txt file. + +Claude should then query for insights before responding and write your messages to storage! If you come up with more creative ways to get Claude to manage its own memory with Honcho, feel free to [let us know](https://discord.gg/plasticlabs) or make a PR on this [repo](https://github.com/plastic-labs/honcho-mcp/tree/main)! diff --git a/docs/v2/guides/overview.mdx b/docs/v2/guides/overview.mdx new file mode 100644 index 00000000..db339636 --- /dev/null +++ b/docs/v2/guides/overview.mdx @@ -0,0 +1,40 @@ +--- +title: "Spellbooks and Tutorials" +sidebarTitle: 'Overview' +description: 'Helpful guides and design patterns for building with Honcho' +icon: 'hat-wizard' +--- + + Before you start a tutorial, follow [Quick Start](/v2/documentation/introduction/quickstart) to get up and running with Honcho in your language of choice. + +AI development often feels like magic - you craft the right prompt and get exactly what you need. Our Spellbooks are practical guides that show you how to cast effective spells with Honcho. + +Whether you're integrating Honcho into existing platforms, exploring advanced features, or getting up and running quickly, these guides provide concrete examples and implementation patterns. + +## What You'll Find Here + +### Getting Started +**[Overview](overview)** - You are here +**[AI-Assisted Setup](ai-assisted-setup)** - Get Honcho running with a single prompt in Cursor or Claude Code + +### Application Interfaces +Ready-to-use integration patterns for popular platforms: + +**[Discord Bot](discord)** - Build a Discord bot that remembers users across conversations +**[Telegram Bot](telegram)** - Create a Telegram bot with persistent user understanding + +### Design Patterns +Implementation patterns for Honcho's core capabilities + +**[Dialectic Endpoint](dialectic-endpoint)** - Query user psychology in natural language +**[Working with Session Context](get-context)** - Manage conversation flow and context windows +**[Search](search)** - Search your data using natural language +**[Working Representations](working-representations)** - Understanding and customizing user models +**[Streaming Responses](streaming-responses)** - Handle real-time interactions efficiently +**[Using Filters](using-filters)** - Control what data gets processed and how + +## Philosophy + +These aren't just API documentation - they're implementation patterns that solve real problems. Each spellbook focuses on a specific use case with working code you can adapt to your needs. + +The goal is to get you from idea to working prototype as quickly as possible, then provide the depth you need to scale and customize. diff --git a/docs/v2/guides/search.mdx b/docs/v2/guides/search.mdx new file mode 100644 index 00000000..f197bb7a --- /dev/null +++ b/docs/v2/guides/search.mdx @@ -0,0 +1,298 @@ +--- +title: 'Search' +description: 'Learn how to search across workspaces, sessions, and peers to find relevant conversations and content' +icon: 'magnifying-glass' +--- + +Honcho's search functionality allows you to find relevant messages and conversations across different scopes - from entire workspaces down to specific peers or sessions. + +## How Search Works + +Search in Honcho is implemented with a two-tier approach: +1. **Primary**: PostgreSQL English language full-text search index for intelligent matching +2. **Fallback**: Simple string matching for broader coverage + +All search results are returned in a paginated format, making it easy to handle large result sets efficiently. + +## Search Scopes + +### Workspace Search + +Search across all content in your workspace - sessions, peers, and messages: + + +```python Python +from honcho import Honcho + +# Initialize client +honcho = Honcho() + +# Search across entire workspace +results = honcho.search("budget planning") + +# Iterate through all results +for result in results: + print(f"Found: {result}") +``` + +```typescript TypeScript +import { Honcho } from "@honcho-ai/sdk"; + +// Initialize client +const honcho = new Honcho({}); + +// Search across entire workspace +const results = await honcho.search("budget planning"); + +// Iterate through all results +for await (const result of results) { + console.log(`Found: ${result}`); +} +``` + + +### Session Search + +Search within a specific session's conversation history: + + +```python Python +# Create or get a session +session = honcho.session("team-meeting-jan") + +# Search within this session only +results = session.search("action items") + +# Process results +for result in results: + print(f"Session result: {result}") +``` + +```typescript TypeScript +// Create or get a session +const session = honcho.session("team-meeting-jan"); + +// Search within this session only +const results = await session.search("action items"); + +// Process results +for await (const result of results) { + console.log(`Session result: ${result}`); +} +``` + + +### Peer Search + +Search across all content associated with a specific peer: + + +```python Python +# Create or get a peer +alice = honcho.peer("alice") + +# Search across all of Alice's messages and interactions +results = alice.search("programming") + +# View results +for result in results: + print(f"Alice's content: {result}") +``` + +```typescript TypeScript +// Create or get a peer +const alice = honcho.peer("alice"); + +// Search across all of Alice's messages and interactions +const results = await alice.search("programming"); + +// View results +for await (const result of results) { + console.log(`Alice's content: ${result}`); +} +``` + + +## Working with Search Results + +### Basic Result Processing + + +```python Python +# Search returns a paginated iterator +results = honcho.search("customer feedback") + +# Simple iteration processes all results automatically +for result in results: + # Each result contains the matched content and context + print(f"Match: {result}") + +# Check if there are any results +results = honcho.search("nonexistent topic") +result_list = list(results) +if not result_list: + print("No results found") +``` + +```typescript TypeScript +// Search returns a paginated Page object +const results = await honcho.search("customer feedback"); + +// Iterate through all results +for await (const result of results) { + // Each result contains the matched content and context + console.log(`Match: ${result}`); +} + +// Check if there are any results +const emptyResults = await honcho.search("nonexistent topic"); +const resultData = await emptyResults.data(); +if (resultData.length === 0) { + console.log("No results found"); +} +``` + + +### Manual Pagination + + +```python Python +# For manual pagination control, you can work with pages directly +results = honcho.search("project updates") + +# The iterator handles pagination automatically, but you can also +# work with individual batches if needed +count = 0 +for result in results: + count += 1 + print(f"Result {count}: {result}") + + # Stop after first 10 results + if count >= 10: + break +``` + +```typescript TypeScript +// Manual pagination with TypeScript +let currentPage = await honcho.search("project updates"); + +while (currentPage) { + const data = await currentPage.data(); + console.log(`Processing ${data.length} results`); + + for (const result of data) { + console.log(`Result: ${result}`); + } + + // Get next page + currentPage = await currentPage.nextPage(); +} +``` + + +### Search with Context Building + + +```python Python +# Use search results to build context for LLM interactions +def build_context_from_search(query: str, session_id: str): + session = honcho.session(session_id) + + # Search for relevant past discussions + search_results = list(session.search(query)) + + if search_results: + # Use search results to inform context + context_summary = f"Found {len(search_results)} relevant past discussions about '{query}'" + + # Get normal session context + session_context = session.get_context(tokens=1500) + + return { + "search_summary": context_summary, + "session_context": session_context, + "search_results": search_results[:3] # Top 3 results + } + + return {"message": "No relevant past discussions found"} + +# Build context for a new question +context_data = build_context_from_search("user authentication", "support-session-1") +print(f"Context: {context_data.get('search_summary', 'No context')}") +``` + +```typescript TypeScript +// Use search results to build context for LLM interactions +async function buildContextFromSearch(query: string, sessionId: string) { + const session = honcho.session(sessionId); + + // Search for relevant past discussions + const searchResults = await session.search(query); + const searchData = await searchResults.data(); + + if (searchData.length > 0) { + // Use search results to inform context + const contextSummary = `Found ${searchData.length} relevant past discussions about '${query}'`; + + // Get normal session context + const sessionContext = await session.getContext({ tokens: 1500 }); + + return { + searchSummary: contextSummary, + sessionContext: sessionContext, + searchResults: searchData.slice(0, 3) // Top 3 results + }; + } + + return { message: "No relevant past discussions found" }; +} + +// Build context for a new question +const contextData = await buildContextFromSearch("user authentication", "support-session-1"); +console.log(`Context: ${contextData.searchSummary || contextData.message}`); +``` + + +## Best Practices + +### Handle Empty Results Gracefully + + +```python Python +# Always check for empty results +results = honcho.search("very specific query") +result_list = list(results) + +if result_list: + print(f"Found {len(result_list)} results") + for result in result_list: + print(f"- {result}") +else: + print("No results found - try a broader search") +``` + +```typescript TypeScript +// Always check for empty results +const results = await honcho.search("very specific query"); +const resultData = await results.data(); + +if (resultData.length > 0) { + console.log(`Found ${resultData.length} results`); + for (const result of resultData) { + console.log(`- ${result}`); + } +} else { + console.log("No results found - try a broader search"); +} +``` + + +## Conclusion + +Honcho's search functionality provides powerful discovery capabilities across your conversational data. By understanding how to: + +- Choose the appropriate search scope (workspace, session, or peer) +- Handle paginated results effectively +- Combine search with context building + +You can build applications that provide intelligent insights and context-aware responses based on historical conversations and interactions. diff --git a/docs/v2/guides/streaming-response.mdx b/docs/v2/guides/streaming-response.mdx new file mode 100644 index 00000000..3280dda1 --- /dev/null +++ b/docs/v2/guides/streaming-response.mdx @@ -0,0 +1,243 @@ +--- +title: "Streaming Responses" +description: "Using streaming responses with Honcho SDKs" +icon: "wave-sine" +--- + +When working with AI-generated content, streaming the response as it's generated can significantly improve the user experience. Honcho provides streaming functionality in its SDKs that allows your application to display content as it's being generated, rather than waiting for the complete response. + +## When to Use Streaming + +Streaming is particularly useful for: + +- Real-time chat interfaces +- Long-form content generation +- Applications where perceived speed is important +- Interactive agent experiences +- Reducing time-to-first-word in user interactions + +## Streaming with the Dialectic Endpoint + +One of the primary use cases for streaming in Honcho is with the Dialectic endpoint. This allows you to stream the AI's reasoning about a user in real-time. + +### Prerequisites + + +```python Python +from honcho import Honcho + +# Initialize client (using the default workspace) +honcho = Honcho() + +# Create or get peers +user = honcho.peer("demo-user") +assistant = honcho.peer("assistant") + +# Create a new session +session = honcho.session("demo-session") + +# Add peers to the session +session.add_peers([user, assistant]) + +# Store some messages for context (optional) +session.add_messages([ + user.message("Hello, I'm testing the streaming functionality") +]) +``` + +```typescript TypeScript +import { Honcho } from '@honcho-ai/sdk'; + +// Initialize client (using the default workspace) +const honcho = new Honcho(); + +// Create or get peers +const user = honcho.peer('demo-user'); +const assistant = honcho.peer('assistant'); + +// Create a new session +const session = honcho.session('demo-session'); + +// Add peers to the session +await session.addPeers([user, assistant]); + +// Store some messages for context (optional) +await session.addMessages([ + user.message("Hello, I'm testing the streaming functionality") +]); +``` + + +## Streaming from the Dialectic Endpoint + + +```python Python +import time + +# Basic streaming example +response_stream = user.chat("What can you tell me about this user?", stream=True) + +for chunk in response_stream.iter_text(): + print(chunk, end="", flush=True) # Print each chunk as it arrives + time.sleep(0.01) # Optional delay for demonstration +``` + +```typescript TypeScript +// Basic streaming example +const responseStream = await user.chat("What can you tell me about this user?", { + stream: true +}); + +// Process the stream +for await (const chunk of responseStream.iter_text()) { + process.stdout.write(chunk); // Write to console without newlines +} +``` + + +## Working with Streaming Data + +When working with streaming responses, consider these patterns: + +1. **Progressive Rendering** - Update your UI as chunks arrive instead of waiting for the full response +2. **Buffered Processing** - Accumulate chunks until a logical break (like a sentence or paragraph) +3. **Token Counting** - Monitor token usage in real-time for applications with token limits +4. **Error Handling** - Implement appropriate error handling for interrupted streams + +## Example: Restaurant Recommendation Chat + + +```python Python +import asyncio +from honcho import Honcho + +async def restaurant_recommendation_chat(): + # Initialize client + honcho = Honcho() + + # Create peers + user = honcho.peer("food-lover") + assistant = honcho.peer("restaurant-assistant") + + # Create session + session = honcho.session("food-preferences-session") + + # Add peers to session + await session.add_peers([user, assistant]) + + # Store multiple user messages about food preferences + user_messages = [ + "I absolutely love spicy Thai food, especially curries with coconut milk.", + "Italian cuisine is another favorite - fresh pasta and wood-fired pizza are my weakness!", + "I try to eat vegetarian most of the time, but occasionally enjoy seafood.", + "I can't handle overly sweet desserts, but love something with dark chocolate." + ] + + # Add the user's messages to the session + session_messages = [user.message(message) for message in user_messages] + await session.add_messages(session_messages) + + # Print the user messages + for message in user_messages: + print(f"User: {message}") + + # Ask for restaurant recommendations based on preferences + print("\nRequesting restaurant recommendations...") + print("Assistant: ", end="", flush=True) + full_response = "" + + # Stream the response using the user's peer to get recommendations + response_stream = user.chat( + "Based on this user's food preferences, recommend 3 restaurants they might enjoy in the Lower East Side.", + stream=True, + session_id=session.id + ) + + for chunk in response_stream.iter_text(): + print(chunk, end="", flush=True) + full_response += chunk + await asyncio.sleep(0.01) + + # Store the assistant's complete response + await session.add_messages([ + assistant.message(full_response) + ]) + +# Run the async function +if __name__ == "__main__": + asyncio.run(restaurant_recommendation_chat()) +``` + +```typescript TypeScript +import { Honcho } from '@honcho-ai/sdk'; + +async function restaurantRecommendationChat() { + // Initialize client + const honcho = new Honcho(); + + // Create peers + const user = honcho.peer('food-lover'); + const assistant = honcho.peer('restaurant-assistant'); + + // Create session + const session = honcho.session('food-preferences-session'); + + // Add peers to session + await session.addPeers([user, assistant]); + + // Store multiple user messages about food preferences + const userMessages = [ + "I absolutely love spicy Thai food, especially curries with coconut milk.", + "Italian cuisine is another favorite - fresh pasta and wood-fired pizza are my weakness!", + "I try to eat vegetarian most of the time, but occasionally enjoy seafood.", + "I can't handle overly sweet desserts, but love something with dark chocolate." + ]; + + // Add the user's messages to the session + const sessionMessages = userMessages.map(message => user.message(message)); + await session.addMessages(sessionMessages); + + // Print the user messages + for (const message of userMessages) { + console.log(`User: ${message}`); + } + + // Ask for restaurant recommendations based on preferences + console.log("\nRequesting restaurant recommendations..."); + process.stdout.write("Assistant: "); + let fullResponse = ""; + + // Stream the response using the user's peer to get recommendations + const responseStream = await user.chat( + "Based on this user's food preferences, recommend 3 restaurants they might enjoy in the Lower East Side.", + { + stream: true, + sessionId: session.id + } + ); + + for await (const chunk of responseStream.iter_text()) { + process.stdout.write(chunk); + fullResponse += chunk; + } + + // Store the assistant's complete response + await session.addMessages([ + assistant.message(fullResponse) + ]); +} + +restaurantRecommendationChat().catch(console.error); +``` + + +## Performance Considerations + +When implementing streaming: + +- Consider connection stability for mobile or unreliable networks +- Implement appropriate timeouts for stream operations +- Be mindful of memory usage when accumulating large responses +- Use appropriate error handling for network interruptions + +Streaming responses provide a more interactive and engaging user experience. By implementing streaming in your Honcho applications, you can create more responsive AI-powered features that feel natural and immediate to your users. diff --git a/docs/v2/guides/telegram.mdx b/docs/v2/guides/telegram.mdx new file mode 100644 index 00000000..ddaf427a --- /dev/null +++ b/docs/v2/guides/telegram.mdx @@ -0,0 +1,359 @@ +--- +title: "Telegram Bots with Honcho" +icon: 'telegram' +description: "Use Honcho to build a Telegram bot with conversational memory and context management." +sidebarTitle: 'Telegram Bot' +--- + +> Example code is available on [GitHub](https://github.com/plastic-labs/telegram-python-starter) + +Any application interface that defines logic based on events and supports +special commands can work easily with Honcho. Here's how to use Honcho with +**Telegram** as an interface. If you're not familiar with Telegram bot +development, the [python-telegram-bot](https://docs.python-telegram-bot.org/en/stable/) docs would be a good +place to start. + +## Message Handling + +Most Telegram bots have async functions that handle incoming messages. We can use Honcho to store messages by user and session based on the chat context. Take the following function definition for example: + +```python +async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE): + """ + Receive a message from Telegram and respond with a message from our LLM assistant. + """ + if not validate_message(update, context): + return + + message_text = update.effective_message.text + input_text = sanitize_message(message_text, context.bot.username) + + # If the message is empty after sanitizing, ignore it + if not input_text: + return + + peer = honcho_client.peer(id=get_peer_id_from_telegram(update)) + session = honcho_client.session(id=str(update.effective_chat.id)) + + # Send typing indicator + await context.bot.send_chat_action( + chat_id=update.effective_chat.id, action="typing" + ) + + response = llm(session, input_text) + + await send_telegram_message(update, context, response) + + # Save both the user's message and the bot's response to the session + session.add_messages( + [ + peer.message(input_text), + assistant.message(response), + ] + ) +``` + +Let's break down what this code is doing... + +```python +async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE): + if not validate_message(update, context): + return +``` + +This is how you define a message handler in `python-telegram-bot` that processes incoming messages. We use a helper function `validate_message()` to check if the message should be processed. + +## Helper Functions + +The code uses several helper functions to keep the main logic clean and readable. Let's examine each one: + +### Message Validation + +```python +def validate_message(update: Update, context: ContextTypes.DEFAULT_TYPE) -> bool: + """ + Determine if the message is valid for the bot to respond to. + Return True if it is, False otherwise. The bot will respond to: + - Direct messages (private chats) + - Group messages that mention the bot or reply to it + - Messages that are not from the bot itself + """ + message = update.effective_message + + if not message or not message.text: + return False + + # Don't respond to our own messages + if message.from_user.id == context.bot.id: + return False + + # Always respond in private chats + if update.effective_chat.type == "private": + return True + + # In groups, only respond if mentioned or replied to + if ( + message.reply_to_message + and message.reply_to_message.from_user.id == context.bot.id + ): + return True + + # Check if bot is mentioned + if message.entities: + for entity in message.entities: + if entity.type == "mention": + username = message.text[entity.offset : entity.offset + entity.length] + if username == f"@{context.bot.username}": + return True + + return False +``` + +This function centralizes all the logic for determining whether the bot should respond to a message. It handles different chat types: +- **Private chats**: Always respond +- **Group chats**: Only respond when mentioned or when replying to the bot's messages +- **Bot prevention**: Never respond to the bot's own messages + +### Message Sanitization + +```python +def sanitize_message(message_text: str, bot_username: str) -> str | None: + """Remove the bot's mention from the message content if present""" + content = message_text.replace(f"@{bot_username}", "").strip() + if not content: + return None + return content +``` + +This helper removes the bot's mention from the message content, leaving just the actual user input. + +### Peer ID Generation + +```python +def get_peer_id_from_telegram(update: Update) -> str: + """Get a Honcho peer ID for the message author""" + return f"telegram_{update.effective_user.id}" +``` + +This creates a unique peer identifier for each Telegram user by prefixing their Telegram user ID. + +### LLM Integration + +```python +def llm(session, prompt) -> str: + """ + Call the LLM with the given prompt and chat history. + + You should expand this function with custom logic, prompts, etc. + """ + messages: list[dict[str, object]] = session.get_context().to_openai( + assistant=assistant + ) + messages.append({"role": "user", "content": prompt}) + + try: + completion = openai.chat.completions.create( + model=MODEL_NAME, + messages=messages, + ) + return completion.choices[0].message.content + except Exception as e: + logger.error(f"LLM error: {e}") + return f"Error: {e}" +``` + +This function handles the LLM interaction. It uses Honcho's built-in `to_openai()` method to automatically convert the session context into the format expected by OpenAI's chat completions API. + +### Message Sending + +```python +async def send_telegram_message( + update: Update, context: ContextTypes.DEFAULT_TYPE, response_content: str +): + """Send a message to the Telegram chat, splitting if necessary""" + # Telegram has a 4096 character limit, but we'll use 4000 to be safe + max_length = 4000 + + if len(response_content) <= max_length: + await update.effective_message.reply_text(response_content) + else: + # Split response into chunks at newlines, keeping under max_length chars + chunks = [] + current_chunk = "" + + for line in response_content.splitlines(keepends=True): + if len(current_chunk) + len(line) > max_length: + if current_chunk: + chunks.append(current_chunk) + current_chunk = line + else: + current_chunk += line + + if current_chunk: + chunks.append(current_chunk) + + for chunk in chunks: + await update.effective_message.reply_text(chunk) +``` + +This function handles sending messages to Telegram, automatically splitting long responses into multiple messages to stay within Telegram's 4096 character limit. It also includes a typing indicator to show the bot is processing. + +## Honcho Integration + +The new Honcho peer/session API makes integration much simpler: + +```python +peer = honcho_client.peer(id=get_peer_id_from_telegram(update)) +session = honcho_client.session(id=str(update.effective_chat.id)) +``` + +Here we create a peer object for the user and a session object using the Telegram chat ID. This automatically handles user and session management across both private chats and group conversations. + +```python +# Save both the user's message and the bot's response to the session +session.add_messages( + [ + peer.message(input_text), + assistant.message(response), + ] +) +``` + +After generating the response, we save both the user's input and the bot's response to the session using the `add_messages()` method. The `peer.message()` creates a message from the user, while `assistant.message()` creates a message from the assistant. + +## Commands + +Telegram bots support slash commands natively. Here's how to implement the `/dialectic` command using Honcho's dialectic feature: + +```python +async def dialectic_command(update: Update, context: ContextTypes.DEFAULT_TYPE): + """ + Handle the /dialectic command to query the Honcho Dialectic endpoint. + """ + if not context.args: + await update.message.reply_text( + "Please provide a query. Usage: /dialectic " + ) + return + + query = " ".join(context.args) + + try: + peer = honcho_client.peer(id=get_peer_id_from_telegram(update)) + session = honcho_client.session(id=str(update.effective_chat.id)) + + response = peer.chat( + queries=query, + session_id=session.id, + ) + + if response: + await send_telegram_message(update, context, response) + else: + await update.message.reply_text( + f"I don't know anything about {update.effective_user.first_name} because we haven't talked yet!" + ) + except Exception as e: + logger.error(f"Error calling Dialectic API: {e}") + await update.message.reply_text( + f"Sorry, there was an error processing your request: {str(e)}" + ) +``` + +You can also add a `/start` command for user onboarding: + +```python +async def start_command(update: Update, context: ContextTypes.DEFAULT_TYPE): + """Handle the /start command""" + await update.message.reply_text( + "Hello! I'm your AI assistant. You can:\n" + "• Chat with me directly in private messages\n" + "• Mention me (@username) in groups to get my attention\n" + "• Use /dialectic to search our conversation history\n\n" + "Let's start chatting!" + ) +``` + +## Setup and Configuration + +The bot requires several environment variables and setup: + +```python +honcho_client = Honcho() +assistant = honcho_client.peer(id="assistant", config={"observe_me": False}) +openai = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=MODEL_API_KEY) +``` + +- `honcho_client`: The main Honcho client +- `assistant`: A peer representing the bot/assistant +- `openai`: OpenAI client configured to use OpenRouter + +### Application Setup + +Register your handlers with the Telegram application: + +```python +def main(): + """Start the bot""" + if not BOT_TOKEN: + logger.error("BOT_TOKEN not found in environment variables") + return + + # Create the Application + application = Application.builder().token(BOT_TOKEN).build() + + # Add handlers + application.add_handler(CommandHandler("start", start_command)) + application.add_handler(CommandHandler("dialectic", dialectic_command)) + application.add_handler( + MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message) + ) + + # Start the bot + logger.info("Starting Telegram bot...") + application.run_polling(allowed_updates=Update.ALL_TYPES) +``` + +## Environment Variables + +Your bot needs these environment variables: + +```env +# Your Telegram bot token from BotFather +BOT_TOKEN= + +# AI model to use (see OpenRouter for available models) +MODEL_NAME= + +# Your OpenRouter API key +MODEL_API_KEY= +``` + +## Chat Types and Behavior + +The bot handles different Telegram chat types intelligently: + +### Private Chats +- **Behavior**: Responds to all messages +- **Session ID**: Uses the private chat ID +- **Memory**: Maintains conversation history per user + +### Group Chats +- **Behavior**: Only responds when mentioned or replied to +- **Session ID**: Uses the group chat ID (shared across all members) +- **Memory**: Maintains group conversation context + +## Recap + +The new Honcho peer/session API makes Telegram bot integration much simpler and more intuitive. Key patterns we learned: + +- **Peer/Session Model**: Users are represented as peers, conversations as sessions +- **Chat Type Handling**: Different validation logic for private vs group chats +- **Automatic Context Management**: `session.get_context().to_openai()` automatically formats chat history +- **Message Storage**: `session.add_messages()` stores both user and assistant messages +- **Dialectic Queries**: `peer.chat()` enables querying conversation history +- **Command System**: Native Telegram command support with `/start` and `/dialectic` +- **Message Splitting**: Automatic handling of Telegram's character limits +- **Helper Functions**: Clean code organization with focused helper functions + +This approach provides a clean, maintainable structure for building Telegram bots with conversational memory and context management across both private conversations and group chats. diff --git a/docs/v2/guides/using-filters.mdx b/docs/v2/guides/using-filters.mdx new file mode 100644 index 00000000..a13bca0a --- /dev/null +++ b/docs/v2/guides/using-filters.mdx @@ -0,0 +1,657 @@ +--- +title: 'Using Filters' +description: "Learn how to filter workspaces, peers, sessions, and messages using Honcho's powerful filtering system" +icon: 'filter' +--- + +Honcho provides a sophisticated filtering system that allows you to query workspaces, peers, sessions, and messages with precise control. The filtering system supports logical operators, comparison operators, metadata filtering, and wildcards to help you find exactly what you need. + +## Basic Filtering Concepts + +Filters in Honcho are expressed as dictionaries that define conditions for matching resources. The system supports both simple equality filters and complex queries with multiple conditions. + +### Simple Filters + +The most basic filters check for exact matches: + + +```python Python +from honcho import Honcho + +# Initialize client +honcho = Honcho() + +# Simple peer filter +peers = honcho.get_peers(filter={"peer_id": "alice"}) + +# Simple session filter with metadata +sessions = honcho.get_sessions(filter={ + "metadata": {"type": "support"} +}) + +# Simple message filter +messages = honcho.get_messages(filter={ + "session_id": "support-chat-1", + "peer_id": "alice" +}) +``` + +```typescript TypeScript +import { Honcho } from "@honcho-ai/sdk"; + +// Initialize client +const honcho = new Honcho({}); + +// Simple peer filter +const peers = await honcho.getPeers({ + filter: { peerId: "alice" } +}); + +// Simple session filter with metadata +const sessions = await honcho.getSessions({ + filter: { + metadata: { type: "support" } + } +}); + +// Simple message filter +const messages = await honcho.getMessages({ + filter: { + sessionId: "support-chat-1", + peerId: "alice" + } +}); +``` + + +## Logical Operators + +Combine multiple conditions using logical operators for complex queries: + +### AND Operator + +Use AND to require all conditions to be true: + + +```python Python +messages = honcho.get_messages(filter={ + "AND": [ + {"session_id": "chat-1"}, + {"created_at": {"gte": "2024-01-01"}} + ] +}) +``` + +```typescript TypeScript +const messages = await honcho.getMessages({ + filter: { + AND: [ + { sessionId: "chat-1" }, + { createdAt: { gte: "2024-01-01" } } + ] + } +}); +``` + + +### OR Operator + +Use OR to match any of the specified conditions: + + +```python Python +# Find messages from either alice or bob +messages = session.get_messages(filter={ + "OR": [ + {"peer_id": "alice"}, + {"peer_id": "bob"} + ] +}) + +# Complex OR with metadata conditions +sessions = honcho.get_sessions(filter={ + "OR": [ + {"metadata": {"priority": "high"}}, + {"metadata": {"urgent": True}}, + {"metadata": {"escalated": True}} + ] +}) +``` + +```typescript TypeScript +// Find messages from either alice or bob +const messages = await session.getMessages({ + filter: { + OR: [ + { peerId: "alice" }, + { peerId: "bob" } + ] + } +}); + +// Complex OR with metadata conditions +const sessions = await honcho.getSessions({ + filter: { + OR: [ + { metadata: { priority: "high" } }, + { metadata: { urgent: true } }, + { metadata: { escalated: true } } + ] + } +}); +``` + + +### NOT Operator + +Use NOT to exclude specific conditions: + + +```python Python +# Find all peers except alice +peers = honcho.get_peers(filter={ + "NOT": [ + {"peer_id": "alice"} + ] +}) + +# Find sessions that are NOT completed +sessions = honcho.get_sessions(filter={ + "NOT": [ + {"metadata": {"status": "completed"}} + ] +}) +``` + +```typescript TypeScript +// Find all peers except alice +const peers = await honcho.getPeers({ + filter: { + NOT: [ + { peerId: "alice" } + ] + } +}); + +// Find sessions that are NOT completed +const sessions = await honcho.getSessions({ + filter: { + NOT: [ + { metadata: { status: "completed" } } + ] + } +}); +``` + + +### Combining Logical Operators + +Create sophisticated queries by combining different logical operators: + + +```python Python +# Find messages from alice OR bob, but NOT where message has archived set to true in metadata +messages = session.get_messages(filter={ + "AND": [ + { + "OR": [ + {"peer_id": "alice"}, + {"peer_id": "bob"} + ] + }, + { + "NOT": [ + {"metadata": {"archived": True}} + ] + } + ] +}) +``` + +```typescript TypeScript +// Find messages from alice OR bob, but NOT where message has archived set to true in metadata +const messages = await session.getMessages({ + filter: { + AND: [ + { + OR: [ + { peerId: "alice" }, + { peerId: "bob" } + ] + }, + { + NOT: [ + { metadata: { archived: true } } + ] + } + ] + } +}); +``` + + +## Comparison Operators + +Use comparison operators for range queries and advanced matching: + +### Numeric Comparisons + + +```python Python +# Find sessions created after a specific date +sessions = honcho.get_sessions(filter={ + "created_at": {"gte": "2024-01-01"} +}) + +# Find messages within a date range +messages = session.get_messages(filter={ + "created_at": { + "gte": "2024-01-01", + "lte": "2024-12-31" + } +}) + +# Metadata numeric comparisons +sessions = honcho.get_sessions(filter={ + "metadata": { + "score": {"gt": 8.5}, + "duration": {"lte": 3600} + } +}) +``` + +```typescript TypeScript +// Find sessions created after a specific date +const sessions = await honcho.getSessions({ + filter: { + createdAt: { gte: "2024-01-01" } + } +}); + +// Find messages within a date range +const messages = await session.getMessages({ + filter: { + createdAt: { + gte: "2024-01-01", + lte: "2024-12-31" + } + } +}); + +// Metadata numeric comparisons +const sessions = await honcho.getSessions({ + filter: { + metadata: { + score: { gt: 8.5 }, + duration: { lte: 3600 } + } + } +}); +``` + + +### List Membership + + +```python Python +# Find messages from specific peers in a session +messages = session.get_messages(filter={ + "peer_id": {"in": ["alice", "bob", "charlie"]} +}) + +# Find sessions with specific tags +sessions = honcho.get_sessions(filter={ + "metadata": { + "tag": {"in": ["important", "urgent", "follow-up"]} + } +}) + +# Not equal comparisons +peers = honcho.get_peers(filter={ + "metadata": { + "status": {"ne": "inactive"} + } +}) +``` + +```typescript TypeScript +// Find messages from specific peers in a session +const messages = await session.getMessages({ + filter: { + peerId: { in: ["alice", "bob", "charlie"] } + } +}); + +// Find sessions with specific tags +const sessions = await honcho.getSessions({ + filter: { + metadata: { + tag: { in: ["important", "urgent", "follow-up"] } + } + } +}); + +// Not equal comparisons +const peers = await honcho.getPeers({ + filter: { + metadata: { + status: { ne: "inactive" } + } + } +}); +``` + + +## Metadata Filtering + +Metadata filtering is particularly powerful in Honcho, supporting nested conditions and complex queries: + +### Basic Metadata Filtering + + +```python Python +# Simple metadata equality +sessions = honcho.get_sessions(filter={ + "metadata": { + "type": "customer_support", + "priority": "high" + } +}) + +# Nested metadata objects +peers = honcho.get_peers(filter={ + "metadata": { + "profile": { + "role": "admin", + "department": "engineering" + } + } +}) +``` + +```typescript TypeScript +// Simple metadata equality +const sessions = await honcho.getSessions({ + filter: { + metadata: { + type: "customer_support", + priority: "high" + } + } +}); + +// Nested metadata objects +const peers = await honcho.getPeers({ + filter: { + metadata: { + profile: { + role: "admin", + department: "engineering" + } + } + } +}); +``` + + +### Advanced Metadata Queries + + +If you want to do advanced queries like these, make sure not to create metadata fields that use the same names as the included comparison operators! For example, if you have a metadata field called `contains`, it will conflict with the `contains` operator. + + + +```python Python +# Metadata with comparison operators +sessions = honcho.get_sessions(filter={ + "metadata": { + "score": {"gte": 4.0, "lte": 5.0}, + "created_by": {"ne": "system"}, + "tags": {"contains": "important"} + } +}) + +# Complex metadata conditions +messages = session.get_messages(filter={ + "AND": [ + {"metadata": {"sentiment": {"in": ["positive", "neutral"]}}}, + {"metadata": {"confidence": {"gt": 0.8}}}, + {"content": {"icontains": "thank"}} + ] +}) +``` + +```typescript TypeScript +// Metadata with comparison operators +const sessions = await honcho.getSessions({ + filter: { + metadata: { + score: { gte: 4.0, lte: 5.0 }, + createdBy: { ne: "system" }, + tags: { contains: "important" } + } + } +}); + +// Complex metadata conditions +const messages = await session.getMessages({ + filter: { + AND: [ + { metadata: { sentiment: { in: ["positive", "neutral"] } } }, + { metadata: { confidence: { gt: 0.8 } } }, + { content: { icontains: "thank" } } + ] + } +}); +``` + + +## Wildcards + +Use wildcards (*) to match any value for a field: + + +```python Python +# Find all sessions with any peer_id (essentially all sessions) +sessions = honcho.get_sessions(filter={ + "peer_id": "*" +}) + +# Wildcard in lists - matches everything +messages = session.get_messages(filter={ + "peer_id": {"in": ["alice", "bob", "*"]} +}) + +# Metadata wildcards +sessions = honcho.get_sessions(filter={ + "metadata": { + "type": "*", # Any type + "status": "active" # But status must be active + } +}) +``` + +```typescript TypeScript +// Find all sessions with any peer_id (essentially all sessions) +const sessions = await honcho.getSessions({ + filter: { + peerId: "*" + } +}); + +// Wildcard in lists - matches everything +const messages = await session.getMessages({ + filter: { + peerId: { in: ["alice", "bob", "*"] } + } +}); + +// Metadata wildcards +const sessions = await honcho.getSessions({ + filter: { + metadata: { + type: "*", // Any type + status: "active" // But status must be active + } + } +}); +``` + + +## Resource-Specific Examples + +### Filtering Workspaces + + +```python Python +# Find workspaces by name pattern +workspaces = honcho.get_workspaces(filter={ + "name": {"contains": "prod"} +}) + +# Filter by metadata +workspaces = honcho.get_workspaces(filter={ + "metadata": { + "environment": "production", + "team": {"in": ["backend", "frontend", "devops"]} + } +}) +``` + +```typescript TypeScript +// Find workspaces by name pattern +const workspaces = await honcho.getWorkspaces({ + filter: { + name: { contains: "prod" } + } +}); + +// Filter by metadata +const workspaces = await honcho.getWorkspaces({ + filter: { + metadata: { + environment: "production", + team: { in: ["backend", "frontend", "devops"] } + } + } +}); +``` + + +### Filtering Messages + + +```python Python +# Find error messages from the last week +from datetime import datetime, timedelta + +week_ago = (datetime.now() - timedelta(days=7)).isoformat() +messages = session.get_messages(filter={ + "AND": [ + {"content": {"icontains": "error"}}, + {"created_at": {"gte": week_ago}}, + {"metadata": {"level": {"in": ["error", "critical"]}}} + ] +}) + +# Find messages in specific sessions with sentiment analysis +messages = session.get_messages(filter={ + "AND": [ + {"session_id": {"in": ["support-1", "support-2", "support-3"]}}, + {"metadata": {"sentiment": "negative"}}, + {"metadata": {"confidence": {"gte": 0.7}}} + ] +}) +``` + +```typescript TypeScript +// Find error messages from the last week +const weekAgo = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000).toISOString(); +const messages = await session.getMessages({ + filter: { + AND: [ + { content: { icontains: "error" } }, + { createdAt: { gte: weekAgo } }, + { metadata: { level: { in: ["error", "critical"] } } } + ] + } +}); + +// Find messages in specific sessions with sentiment analysis +const messages = await session.getMessages({ + filter: { + AND: [ + { sessionId: { in: ["support-1", "support-2", "support-3"] } }, + { metadata: { sentiment: "negative" } }, + { metadata: { confidence: { gte: 0.7 } } } + ] + } +}); +``` + + +## Error Handling + +Handle filter errors gracefully: + + +```python Python +from honcho.exceptions import FilterError + +try: + # Invalid filter - unsupported operator + messages = session.get_messages(filter={ + "created_at": {"invalid_operator": "2024-01-01"} + }) +except FilterError as e: + print(f"Filter error: {e}") + # Handle the error appropriately + +try: + # Invalid column name + sessions = honcho.get_sessions(filter={ + "nonexistent_field": "value" + }) +except FilterError as e: + print(f"Invalid field: {e}") +``` + +```typescript TypeScript +try { + // Invalid filter - unsupported operator + const messages = await session.getMessages({ + filter: { + createdAt: { invalidOperator: "2024-01-01" } + } + }); +} catch (error) { + if (error.message.includes("filter")) { + console.error(`Filter error: ${error.message}`); + // Handle the error appropriately + } +} + +try { + // Invalid column name + const sessions = await honcho.getSessions({ + filter: { + nonexistentField: "value" + } + }); +} catch (error) { + console.error(`Invalid field: ${error.message}`); +} +``` + + +## Conclusion + +Honcho's filtering system provides powerful capabilities for querying your conversational data. By understanding how to: + +- Use simple equality filters and complex logical operators +- Apply comparison operators for range and pattern matching +- Filter metadata with nested conditions +- Handle wildcards and dynamic filter construction +- Follow best practices for performance and validation + +You can build sophisticated applications that efficiently find and process exactly the conversations, messages, and insights you need from your Honcho data. diff --git a/docs/v2/guides/working-rep.mdx b/docs/v2/guides/working-rep.mdx new file mode 100644 index 00000000..67d71c3f --- /dev/null +++ b/docs/v2/guides/working-rep.mdx @@ -0,0 +1,275 @@ +--- +title: 'Working Representations' +description: "Learn how to retrieve cached peer knowledge and understanding using Honcho's working representation system" +icon: 'brain' +--- + +Working representations are Honcho's system for accessing cached psychological models that capture what peers know, think, and remember. Unlike the `chat()` method which generates fresh representations on-demand, the `working_rep()` method retrieves pre-computed representations that have been automatically built and stored as conversations progress. + +## How Working Representations Are Created + +Working representations are automatically generated and cached through Honcho's background processing system: + +1. **Automatic Generation**: When messages are added to sessions, they trigger background jobs that analyze conversations using theory of mind inference and long-term memory integration + +2. **Cached Storage**: The generated representations are stored in the database as metadata on `Peer` objects (for global representations) or `SessionPeer` objects (for session-scoped representations) + +3. **Retrieval**: The `working_rep()` method provides fast access to these cached representations without requiring LLM processing + + +**Cached vs On-Demand**: `working_rep()` retrieves cached representations for fast access, while `peer.chat()` generates fresh representations using the dialectic system. Use `working_rep()` when you need fast access to stored knowledge, and `chat()` when you need current analysis with custom queries. + + +## Basic Usage + +Working representations are accessed through the `working_rep()` method on Session objects: + + +```python Python +from honcho import Honcho + +# Initialize client +honcho = Honcho() + +# Create peers and session +user = honcho.peer("user-123") +assistant = honcho.peer("ai-assistant") +session = honcho.session("support-conversation") + +# Add conversation to trigger representation generation +session.add_messages([ + user.message("I'm having trouble with my billing account"), + assistant.message("I can help with that. What specific issue are you seeing?"), + user.message("My credit card was charged twice last month"), + assistant.message("I see duplicate charges on your account. Let me refund one of them.") +]) + +# Chat to generate a working representation +response = user.chat("What is this user's main concern right now?", session_id=session.id) + +# Retrieve the cached working representation for the user +user_representation = session.working_rep("user-123") +print("Cached user representation:", user_representation) +``` + +```typescript TypeScript +import { Honcho } from "@honcho-ai/sdk"; + +// Initialize client +const honcho = new Honcho({}); + +// Create peers and session +const user = honcho.peer("user-123"); +const assistant = honcho.peer("ai-assistant"); +const session = honcho.session("support-conversation"); + +// Add conversation to trigger representation generation +await session.addMessages([ + user.message("I'm having trouble with my billing account"), + assistant.message("I can help with that. What specific issue are you seeing?"), + user.message("My credit card was charged twice last month"), + assistant.message("I see duplicate charges on your account. Let me refund one of them.") +]); + +// Chat to generate a working representation +const response = await user.chat("What is this user's main concern right now?", { sessionId: session.id }); + +// Retrieve the cached working representation for the user +const userRepresentation = await session.workingRep("user-123"); +console.log("Cached user representation:", userRepresentation); +``` + + +## Understanding Representation Content + +Cached working representations contain structured psychological analysis based on conversation history. The format typically includes: + +### Current Mental State Predictions +Information about what the peer is currently thinking, feeling, or focused on based on recent messages. + +### Relevant Long-term Facts +Facts about the peer that have been extracted and stored over time from various conversations. + +### Example Representation Structure + + +```python Python +# Example of what a cached representation might contain +representation = session.working_rep("user-123") + +# Typical content structure: +""" +PREDICTION ABOUT THE USER'S CURRENT MENTAL STATE: +The user appears frustrated with a billing issue, specifically concerning duplicate charges. +They seem to have some confidence in the support process as they provided specific details. + +RELEVANT LONG-TERM FACTS ABOUT THE USER: +- User has had previous billing inquiries +- User prefers direct, specific communication +- User is detail-oriented when reporting issues +""" + +print("Full representation:", representation) +``` + +```typescript TypeScript +// Example of what a cached representation might contain +const representation = await session.workingRep("user-123"); + +// Typical content structure: +/* +PREDICTION ABOUT THE USER'S CURRENT MENTAL STATE: +The user appears frustrated with a billing issue, specifically concerning duplicate charges. +They seem to have some confidence in the support process as they provided specific details. + +RELEVANT LONG-TERM FACTS ABOUT THE USER: +- User has had previous billing inquiries +- User prefers direct, specific communication +- User is detail-oriented when reporting issues +*/ + +console.log("Full representation:", representation); +``` + + +## When Representations Are Updated + +Working representations are automatically updated through Honcho's background processing system: + +### Message Processing Pipeline + +1. **Message Creation**: When messages are added via `session.add_messages()` or similar methods +2. **Background Queuing**: Messages are queued for processing in the background +3. **Theory of Mind Analysis**: The system analyzes conversation patterns and psychological states +4. **Fact Extraction**: Long-term facts are extracted and stored in vector embeddings +5. **Representation Generation**: New representations are created combining current analysis with historical facts +6. **Cache Update**: The new representation is stored in the database metadata + +### Processing Triggers + +Representations are updated when: +- New messages are added to sessions +- Sufficient new content has accumulated +- The background processing system determines an update is needed + +## Comparison with Chat Method + +Understanding when to use `working_rep()` vs `peer.chat()`: + +### Use `working_rep()` when: +- You need fast access to stored psychological models +- You want to see what the system has already learned about a peer +- You're building dashboards or analytics that display peer understanding +- You need consistent representations that don't change between calls + +### Use `peer.chat()` when: +- You need to ask specific questions about a peer +- You want fresh analysis based on current conversation state +- You need customized insights for specific use cases +- You want to query about relationships between peers + + +```python Python +# Fast cached access +cached_rep = session.working_rep("user-123") +print("Cached:", cached_rep[:100] + "...") + +# Custom query with fresh analysis +custom_analysis = user.chat("What is this user's main concern right now?", session_id=session.id) +print("Fresh analysis:", custom_analysis) +``` + +```typescript TypeScript +// Fast cached access +const cachedRep = await session.workingRep("user-123"); +console.log("Cached:", cachedRep.substring(0, 100) + "..."); + +// Custom query with fresh analysis +const customAnalysis = await user.chat("What is this user's main concern right now?", { sessionId: session.id }); +console.log("Fresh analysis:", customAnalysis); +``` + + +## Best Practices + +### 1. Ensure Availability Before Using + +Make sure that a representation exists before processing it by using the chat endpoint first. + +### 2. Use for Fast Analytics + +Cached representations are ideal for analytics dashboards: + + +```python Python +# Good: Fast dashboard updates using cached data +def update_analytics_dashboard(sessions): + analytics = {} + for session in sessions: + for peer_id in session.get_peer_ids(): + rep = session.working_rep(peer_id) + analytics[peer_id] = analyze_representation(rep) + return analytics +``` + +```typescript TypeScript +// Good: Fast dashboard updates using cached data +async function updateAnalyticsDashboard(sessions) { + const analytics: Record = {}; + for (const session of sessions) { + const peerIds = await session.getPeerIds(); + for (const peerId of peerIds) { + const rep = await session.workingRep(peerId); + analytics[peerId] = analyzeRepresentation(rep); + } + } + return analytics; +} +``` + + +### 3. Combine with Fresh Analysis When Needed + +Use cached representations for baseline understanding, and fresh analysis for current insights: + + +```python Python +# Get baseline understanding from cache +baseline = session.working_rep("user-123") + +# Get current specific insights +current_state = user.chat("How is this user feeling right now?", session_id=session.id) + +# Combine for comprehensive view +comprehensive_view = { + "baseline_knowledge": baseline, + "current_analysis": current_state +} +``` + +```typescript TypeScript +// Get baseline understanding from cache +const baseline = await session.workingRep("user-123"); + +// Get current specific insights +const currentState = await user.chat("How is this user feeling right now?", { sessionId: session.id }); + +// Combine for comprehensive view +const comprehensiveView = { + baselineKnowledge: baseline, + currentAnalysis: currentState +}; +``` + + +## Conclusion + +Working representations provide fast access to cached psychological models that Honcho automatically builds and maintains. By understanding how to: + +- Retrieve cached representations using `session.working_rep()` +- Parse and interpret representation content +- Handle cases where representations aren't available +- Combine cached and fresh analysis appropriately + +You can build efficient applications that leverage Honcho's continuous learning about peer knowledge and mental states without the latency of real-time generation. + diff --git a/docs/v2/openapi.documented.yml b/docs/v2/openapi.documented.yml new file mode 100644 index 00000000..154820df --- /dev/null +++ b/docs/v2/openapi.documented.yml @@ -0,0 +1,3146 @@ +openapi: 3.1.0 +info: + title: Honcho API + summary: The Identity Layer for the Agentic World + description: Honcho is a platform for giving agents user-centric memory and social cognition + contact: + name: Plastic Labs + url: https://honcho.dev/ + email: hello@plasticlabs.ai + version: 2.0.0 +servers: + - url: http://localhost:8000 + description: Local Development Server + - url: https://demo.honcho.dev + description: Demo Server + - url: https://api.honcho.dev + description: Production SaaS Platform +paths: + /v1/workspaces: + post: + tags: + - workspaces + summary: Get Or Create Workspace + description: |- + Get a Workspace by ID. + + If workspace_id is provided as a query parameter, it uses that (must match JWT workspace_id). + Otherwise, it uses the workspace_id from the JWT token. + operationId: get_or_create_workspace_v1_workspaces_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/WorkspaceCreate' + description: Workspace creation parameters + required: true + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Workspace' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + security: + - HTTPBearer: [] + - {} + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const workspace = await client.workspaces.getOrCreate({ id: 'id' }); + + console.log(workspace.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + workspace = client.workspaces.get_or_create( + id="id", + ) + print(workspace.id) + /v1/workspaces/list: + post: + tags: + - workspaces + summary: Get All Workspaces + description: Get all Workspaces + operationId: get_all_workspaces_v1_workspaces_list_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/WorkspaceGet' + - type: 'null' + description: Filtering and pagination options for the workspaces list + title: Options + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Workspace_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const workspace of client.workspaces.list()) { + console.log(workspace.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.list() + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}: + put: + tags: + - workspaces + summary: Update Workspace + description: Update a Workspace + operationId: update_workspace_v1_workspaces__workspace_id__put + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace to update + title: Workspace Id + description: ID of the workspace to update + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/WorkspaceUpdate' + description: Updated workspace parameters + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Workspace' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const workspace = await client.workspaces.update('workspace_id'); + + console.log(workspace.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + workspace = client.workspaces.update( + workspace_id="workspace_id", + ) + print(workspace.id) + /v1/workspaces/{workspace_id}/search: + post: + tags: + - workspaces + summary: Search Workspace + description: Search a Workspace + operationId: search_workspace_v1_workspaces__workspace_id__search_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace to search + title: Workspace Id + description: ID of the workspace to search + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + required: true + content: + application/json: + schema: + type: string + description: Search query + title: Query + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Message_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const message of client.workspaces.search('workspace_id', { body: 'body' })) { + console.log(message.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.search( + workspace_id="workspace_id", + body="body", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/peers/list: + post: + tags: + - peers + summary: Get Peers + description: Get All Peers for a Workspace + operationId: get_peers_v1_workspaces__workspace_id__peers_list_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/PeerGet' + - type: 'null' + description: Filtering options for the peers list + title: Options + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Peer_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const peer of client.workspaces.peers.list('workspace_id')) { + console.log(peer.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.peers.list( + workspace_id="workspace_id", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/peers: + post: + tags: + - peers + summary: Get Or Create Peer + description: |- + Get a Peer by ID + + If peer_id is provided as a query parameter, it uses that (must match JWT workspace_id). + Otherwise, it uses the peer_id from the JWT token. + operationId: get_or_create_peer_v1_workspaces__workspace_id__peers_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/PeerCreate' + description: Peer creation parameters + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Peer' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const peer = await client.workspaces.peers.getOrCreate('workspace_id', { id: 'id' }); + + console.log(peer.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + peer = client.workspaces.peers.get_or_create( + workspace_id="workspace_id", + id="id", + ) + print(peer.id) + /v1/workspaces/{workspace_id}/peers/{peer_id}: + put: + tags: + - peers + summary: Update Peer + description: Update a Peer's name and/or metadata + operationId: update_peer_v1_workspaces__workspace_id__peers__peer_id__put + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer to update + title: Peer Id + description: ID of the peer to update + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/PeerUpdate' + description: Updated peer parameters + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Peer' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const peer = await client.workspaces.peers.update('workspace_id', 'peer_id'); + + console.log(peer.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + peer = client.workspaces.peers.update( + peer_id="peer_id", + workspace_id="workspace_id", + ) + print(peer.id) + /v1/workspaces/{workspace_id}/peers/{peer_id}/sessions: + post: + tags: + - peers + summary: Get Sessions For Peer + description: Get All Sessions for a Peer + operationId: get_sessions_for_peer_v1_workspaces__workspace_id__peers__peer_id__sessions_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/SessionGet' + - type: 'null' + description: Filtering options for the sessions list + title: Options + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Session_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const session of client.workspaces.peers.sessions.list('workspace_id', 'peer_id')) { + console.log(session.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.peers.sessions.list( + peer_id="peer_id", + workspace_id="workspace_id", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/peers/{peer_id}/chat: + post: + tags: + - peers + summary: Chat + operationId: chat_v1_workspaces__workspace_id__peers__peer_id__chat_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/DialecticOptions' + description: Dialectic Endpoint Parameters + responses: + '200': + description: Response to a question informed by Honcho's User Representation + content: + application/json: + schema: + $ref: '#/components/schemas/DialecticResponse' + text/event-stream: {} + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const response = await client.workspaces.peers.chat('workspace_id', 'peer_id', { queries: 'string' + }); + + + console.log(response.content); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + response = client.workspaces.peers.chat( + peer_id="peer_id", + workspace_id="workspace_id", + queries="string", + ) + print(response.content) + /v1/workspaces/{workspace_id}/peers/{peer_id}/messages: + post: + tags: + - peers + summary: Create Messages For Peer + description: Create messages for a peer + operationId: create_messages_for_peer_v1_workspaces__workspace_id__peers__peer_id__messages_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/MessageBatchCreate' + description: Batch of messages to create + responses: + '200': + description: Successful Response + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Message' + title: Response Create Messages For Peer V1 Workspaces Workspace Id Peers Peer Id Messages Post + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const messages = await client.workspaces.peers.messages.create('workspace_id', 'peer_id', { + messages: [{ content: 'content', peer_id: 'peer_id' }], + }); + + console.log(messages); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + messages = client.workspaces.peers.messages.create( + peer_id="peer_id", + workspace_id="workspace_id", + messages=[{ + "content": "content", + "peer_id": "peer_id", + }], + ) + print(messages) + /v1/workspaces/{workspace_id}/peers/{peer_id}/messages/list: + post: + tags: + - peers + summary: Get Messages For Peer + description: Get all messages for a peer + operationId: get_messages_for_peer_v1_workspaces__workspace_id__peers__peer_id__messages_list_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + - name: reverse + in: query + required: false + schema: + anyOf: + - type: boolean + - type: 'null' + description: Whether to reverse the order of results + default: false + title: Reverse + description: Whether to reverse the order of results + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/MessageGet' + - type: 'null' + description: Filtering options for the messages list + title: Options + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Message_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const message of client.workspaces.peers.messages.list('workspace_id', 'peer_id')) { + console.log(message.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.peers.messages.list( + peer_id="peer_id", + workspace_id="workspace_id", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/peers/{peer_id}/representation: + post: + tags: + - peers + summary: Get Working Representation + description: |- + Get a peer's working representation for a session. + + If peer_id is provided in body, the representation is of that peer, from our perspective. + operationId: get_working_representation_v1_workspaces__workspace_id__peers__peer_id__representation_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/PeerRepresentationGet' + description: Options for getting the peer representation + responses: + '200': + description: Successful Response + content: + application/json: + schema: + type: object + additionalProperties: true + title: >- + Response Get Working Representation V1 Workspaces Workspace Id Peers Peer Id + Representation Post + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const response = await client.workspaces.peers.workingRepresentation('workspace_id', 'peer_id', { + session_id: 'session_id', + }); + + console.log(response); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + response = client.workspaces.peers.working_representation( + peer_id="peer_id", + workspace_id="workspace_id", + session_id="session_id", + ) + print(response) + /v1/workspaces/{workspace_id}/peers/{peer_id}/search: + post: + tags: + - peers + summary: Search Peer + description: Search a Peer + operationId: search_peer_v1_workspaces__workspace_id__peers__peer_id__search_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + required: true + content: + application/json: + schema: + type: string + description: Search query + title: Query + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Message_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + // Automatically fetches more pages as needed. + + for await (const message of client.workspaces.peers.search('workspace_id', 'peer_id', { body: + 'body' })) { + console.log(message.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.peers.search( + peer_id="peer_id", + workspace_id="workspace_id", + body="body", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/sessions: + post: + tags: + - sessions + summary: Get Or Create Session + description: |- + Get a specific session in a workspace. + + If session_id is provided as a query parameter, it verifies the session is in the workspace. + Otherwise, it uses the session_id from the JWT token for verification. + operationId: get_or_create_session_v1_workspaces__workspace_id__sessions_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/SessionCreate' + description: Session creation parameters + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const session = await client.workspaces.sessions.getOrCreate('workspace_id', { id: 'id' }); + + console.log(session.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.get_or_create( + workspace_id="workspace_id", + id="id", + ) + print(session.id) + /v1/workspaces/{workspace_id}/sessions/list: + post: + tags: + - sessions + summary: Get Sessions + description: Get All Sessions in a Workspace + operationId: get_sessions_v1_workspaces__workspace_id__sessions_list_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/SessionGet' + - type: 'null' + description: Filtering and pagination options for the sessions list + title: Options + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Session_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const session of client.workspaces.sessions.list('workspace_id')) { + console.log(session.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.sessions.list( + workspace_id="workspace_id", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/sessions/{session_id}: + put: + tags: + - sessions + summary: Update Session + description: Update the metadata of a Session + operationId: update_session_v1_workspaces__workspace_id__sessions__session_id__put + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session to update + title: Session Id + description: ID of the session to update + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/SessionUpdate' + description: Updated session parameters + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const session = await client.workspaces.sessions.update('workspace_id', 'session_id'); + + console.log(session.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.update( + session_id="session_id", + workspace_id="workspace_id", + ) + print(session.id) + delete: + tags: + - sessions + summary: Delete Session + description: Delete a session by marking it as inactive + operationId: delete_session_v1_workspaces__workspace_id__sessions__session_id__delete + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session to delete + title: Session Id + description: ID of the session to delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const session = await client.workspaces.sessions.delete('workspace_id', 'session_id'); + + console.log(session); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.delete( + session_id="session_id", + workspace_id="workspace_id", + ) + print(session) + /v1/workspaces/{workspace_id}/sessions/{session_id}/clone: + get: + tags: + - sessions + summary: Clone Session + description: Clone a session, optionally up to a specific message + operationId: clone_session_v1_workspaces__workspace_id__sessions__session_id__clone_get + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session to clone + title: Session Id + description: ID of the session to clone + - name: message_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + description: Message ID to cut off the clone at + title: Message Id + description: Message ID to cut off the clone at + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const session = await client.workspaces.sessions.clone('workspace_id', 'session_id'); + + console.log(session.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.clone( + session_id="session_id", + workspace_id="workspace_id", + ) + print(session.id) + /v1/workspaces/{workspace_id}/sessions/{session_id}/peers: + post: + tags: + - sessions + summary: Add Peers To Session + description: Add peers to a session + operationId: add_peers_to_session_v1_workspaces__workspace_id__sessions__session_id__peers_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + requestBody: + required: true + content: + application/json: + schema: + type: object + additionalProperties: + $ref: '#/components/schemas/SessionPeerConfig' + description: List of peer IDs to add to the session + title: Peers + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const session = await client.workspaces.sessions.peers.add('workspace_id', 'session_id', { foo: {} + }); + + + console.log(session.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.peers.add( + session_id="session_id", + workspace_id="workspace_id", + body={ + "foo": {} + }, + ) + print(session.id) + put: + tags: + - sessions + summary: Set Session Peers + description: Set the peers in a session + operationId: set_session_peers_v1_workspaces__workspace_id__sessions__session_id__peers_put + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + requestBody: + required: true + content: + application/json: + schema: + type: object + additionalProperties: + $ref: '#/components/schemas/SessionPeerConfig' + description: List of peer IDs to set for the session + title: Peers + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const session = await client.workspaces.sessions.peers.set('workspace_id', 'session_id', { foo: {} + }); + + + console.log(session.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.peers.set( + session_id="session_id", + workspace_id="workspace_id", + body={ + "foo": {} + }, + ) + print(session.id) + delete: + tags: + - sessions + summary: Remove Peers From Session + description: Remove peers from a session + operationId: remove_peers_from_session_v1_workspaces__workspace_id__sessions__session_id__peers_delete + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + requestBody: + required: true + content: + application/json: + schema: + type: array + items: + type: string + description: List of peer IDs to remove from the session + title: Peers + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const session = await client.workspaces.sessions.peers.remove('workspace_id', 'session_id', + ['string']); + + + console.log(session.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + session = client.workspaces.sessions.peers.remove( + session_id="session_id", + workspace_id="workspace_id", + body=["string"], + ) + print(session.id) + get: + tags: + - sessions + summary: Get Session Peers + description: Get peers from a session + operationId: get_session_peers_v1_workspaces__workspace_id__sessions__session_id__peers_get + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Peer_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const peer of client.workspaces.sessions.peers.list('workspace_id', 'session_id')) { + console.log(peer.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.sessions.peers.list( + session_id="session_id", + workspace_id="workspace_id", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config: + get: + tags: + - sessions + summary: Get Peer Config + description: Get the configuration for a peer in a session + operationId: get_peer_config_v1_workspaces__workspace_id__sessions__session_id__peers__peer_id__config_get + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/SessionPeerConfig' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const response = await client.workspaces.sessions.peers.getConfig('workspace_id', 'session_id', + 'peer_id'); + + + console.log(response.observe_me); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + response = client.workspaces.sessions.peers.get_config( + peer_id="peer_id", + workspace_id="workspace_id", + session_id="session_id", + ) + print(response.observe_me) + post: + tags: + - sessions + summary: Set Peer Config + description: Set the configuration for a peer in a session + operationId: set_peer_config_v1_workspaces__workspace_id__sessions__session_id__peers__peer_id__config_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: peer_id + in: path + required: true + schema: + type: string + description: ID of the peer + title: Peer Id + description: ID of the peer + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/SessionPeerConfig' + description: Peer configuration + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const response = await client.workspaces.sessions.peers.setConfig('workspace_id', 'session_id', + 'peer_id'); + + + console.log(response); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + response = client.workspaces.sessions.peers.set_config( + peer_id="peer_id", + workspace_id="workspace_id", + session_id="session_id", + ) + print(response) + /v1/workspaces/{workspace_id}/sessions/{session_id}/context: + get: + tags: + - sessions + summary: Get Session Context + description: >- + Produce a context object from the session. The caller provides a token limit which the entire context + must fit into. + + To do this, we allocate 40% of the token limit to the summary, and 60% to recent messages -- as many + as can fit. + + If the caller does not want a summary, we allocate all the tokens to recent messages. + + The default token limit if not provided is 2048. (TODO: make this configurable) + operationId: get_session_context_v1_workspaces__workspace_id__sessions__session_id__context_get + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: tokens + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + description: Number of tokens to use for the context. Includes summary if set to true + title: Tokens + description: Number of tokens to use for the context. Includes summary if set to true + - name: summary + in: query + required: false + schema: + type: boolean + description: Whether to summarize the session history prior to the cutoff message + default: false + title: Summary + description: Whether to summarize the session history prior to the cutoff message + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/SessionContext' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const response = await client.workspaces.sessions.getContext('workspace_id', 'session_id'); + + console.log(response.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + response = client.workspaces.sessions.get_context( + session_id="session_id", + workspace_id="workspace_id", + ) + print(response.id) + /v1/workspaces/{workspace_id}/sessions/{session_id}/search: + post: + tags: + - sessions + summary: Search Session + description: Search a Session + operationId: search_session_v1_workspaces__workspace_id__sessions__session_id__search_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + required: true + content: + application/json: + schema: + type: string + description: Search query + title: Query + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Message_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + // Automatically fetches more pages as needed. + for await (const message of client.workspaces.sessions.search('workspace_id', 'session_id', { + body: 'body', + })) { + console.log(message.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.sessions.search( + session_id="session_id", + workspace_id="workspace_id", + body="body", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/: + post: + tags: + - messages + summary: Create Messages For Session + operationId: create_messages_for_session_v1_workspaces__workspace_id__sessions__session_id__messages__post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/MessageBatchCreate' + description: Batch of messages to create + responses: + '200': + description: Successful Response + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Message' + title: >- + Response Create Messages For Session V1 Workspaces Workspace Id Sessions Session Id + Messages Post + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const messages = await client.workspaces.sessions.messages.create('workspace_id', 'session_id', { + messages: [{ content: 'content', peer_id: 'peer_id' }], + }); + + console.log(messages); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + messages = client.workspaces.sessions.messages.create( + session_id="session_id", + workspace_id="workspace_id", + messages=[{ + "content": "content", + "peer_id": "peer_id", + }], + ) + print(messages) + /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/list: + post: + tags: + - messages + summary: Get Messages + description: Get all messages for a session + operationId: get_messages_v1_workspaces__workspace_id__sessions__session_id__messages_list_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: reverse + in: query + required: false + schema: + anyOf: + - type: boolean + - type: 'null' + description: Whether to reverse the order of results + default: false + title: Reverse + description: Whether to reverse the order of results + - name: page + in: query + required: false + schema: + type: integer + minimum: 1 + description: Page number + default: 1 + title: Page + description: Page number + - name: size + in: query + required: false + schema: + type: integer + maximum: 100 + minimum: 1 + description: Page size + default: 50 + title: Size + description: Page size + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/MessageGet' + - type: 'null' + description: Filtering options for the messages list + title: Options + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Page_Message_' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + // Automatically fetches more pages as needed. + + for await (const message of client.workspaces.sessions.messages.list('workspace_id', + 'session_id')) { + console.log(message.id); + } + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + page = client.workspaces.sessions.messages.list( + session_id="session_id", + workspace_id="workspace_id", + ) + page = page.items[0] + print(page.id) + /v1/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id}: + get: + tags: + - messages + summary: Get Message + description: Get a Message by ID + operationId: get_message_v1_workspaces__workspace_id__sessions__session_id__messages__message_id__get + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: message_id + in: path + required: true + schema: + type: string + description: ID of the message to retrieve + title: Message Id + description: ID of the message to retrieve + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Message' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const message = await client.workspaces.sessions.messages.retrieve( + 'workspace_id', + 'session_id', + 'message_id', + ); + + console.log(message.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + message = client.workspaces.sessions.messages.retrieve( + message_id="message_id", + workspace_id="workspace_id", + session_id="session_id", + ) + print(message.id) + put: + tags: + - messages + summary: Update Message + description: Update the metadata of a Message + operationId: update_message_v1_workspaces__workspace_id__sessions__session_id__messages__message_id__put + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: path + required: true + schema: + type: string + description: ID of the workspace + title: Workspace Id + description: ID of the workspace + - name: session_id + in: path + required: true + schema: + type: string + description: ID of the session + title: Session Id + description: ID of the session + - name: message_id + in: path + required: true + schema: + type: string + description: ID of the message to update + title: Message Id + description: ID of the message to update + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/MessageUpdate' + description: Updated message parameters + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/Message' + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: >- + import Honcho from '@honcho-ai/core'; + + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + + const message = await client.workspaces.sessions.messages.update('workspace_id', 'session_id', + 'message_id'); + + + console.log(message.id); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + message = client.workspaces.sessions.messages.update( + message_id="message_id", + workspace_id="workspace_id", + session_id="session_id", + ) + print(message.id) + /v1/keys: + post: + tags: + - keys + summary: Create Key + description: Create a new Key + operationId: create_key_v1_keys_post + security: + - HTTPBearer: [] + - {} + parameters: + - name: workspace_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + description: ID of the workspace to scope the key to + title: Workspace Id + description: ID of the workspace to scope the key to + - name: peer_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + description: ID of the peer to scope the key to + title: Peer Id + description: ID of the peer to scope the key to + - name: session_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + description: ID of the session to scope the key to + title: Session Id + description: ID of the session to scope the key to + - name: expires_at + in: query + required: false + schema: + anyOf: + - type: string + format: date-time + - type: 'null' + title: Expires At + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '422': + description: Validation Error + content: + application/json: + schema: + $ref: '#/components/schemas/HTTPValidationError' + x-codeSamples: + - lang: JavaScript + source: |- + import Honcho from '@honcho-ai/core'; + + const client = new Honcho({ + apiKey: process.env['HONCHO_API_KEY'], // This is the default and can be omitted + }); + + const key = await client.keys.create(); + + console.log(key); + - lang: Python + source: |- + import os + from honcho_core import Honcho + + client = Honcho( + api_key=os.environ.get("HONCHO_API_KEY"), # This is the default and can be omitted + ) + key = client.keys.create() + print(key) +components: + schemas: + DialecticOptions: + properties: + session_id: + anyOf: + - type: string + - type: 'null' + title: Session Id + description: ID of the session to scope the representation to + target: + anyOf: + - type: string + - type: 'null' + title: Target + description: Optional peer to get the representation for, from the perspective of this peer + queries: + anyOf: + - type: string + - items: + type: string + type: array + title: Queries + stream: + type: boolean + title: Stream + default: false + type: object + required: + - queries + title: DialecticOptions + DialecticResponse: + properties: + content: + type: string + title: Content + type: object + required: + - content + title: DialecticResponse + HTTPValidationError: + properties: + detail: + items: + $ref: '#/components/schemas/ValidationError' + type: array + title: Detail + type: object + title: HTTPValidationError + Message: + properties: + id: + type: string + title: Id + content: + type: string + title: Content + peer_id: + type: string + title: Peer Id + session_id: + anyOf: + - type: string + - type: 'null' + title: Session Id + metadata: + additionalProperties: true + type: object + title: Metadata + created_at: + type: string + format: date-time + title: Created At + workspace_id: + type: string + title: Workspace Id + token_count: + type: integer + title: Token Count + type: object + required: + - id + - content + - peer_id + - session_id + - created_at + - workspace_id + - token_count + title: Message + MessageBatchCreate: + properties: + messages: + items: + $ref: '#/components/schemas/MessageCreate' + type: array + maxItems: 100 + minItems: 1 + title: Messages + type: object + required: + - messages + title: MessageBatchCreate + description: Schema for batch message creation with a max of 100 messages + MessageCreate: + properties: + content: + type: string + maxLength: 50000 + minLength: 0 + title: Content + peer_id: + type: string + title: Peer Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - content + - peer_id + title: MessageCreate + MessageGet: + properties: + filter: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filter + type: object + title: MessageGet + MessageUpdate: + properties: + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: MessageUpdate + Page_Message_: + properties: + items: + items: + $ref: '#/components/schemas/Message' + type: array + title: Items + total: + type: integer + minimum: 0 + title: Total + page: + type: integer + minimum: 1 + title: Page + size: + type: integer + minimum: 1 + title: Size + pages: + type: integer + minimum: 0 + title: Pages + type: object + required: + - items + - total + - page + - size + title: Page[Message] + Page_Peer_: + properties: + items: + items: + $ref: '#/components/schemas/Peer' + type: array + title: Items + total: + type: integer + minimum: 0 + title: Total + page: + type: integer + minimum: 1 + title: Page + size: + type: integer + minimum: 1 + title: Size + pages: + type: integer + minimum: 0 + title: Pages + type: object + required: + - items + - total + - page + - size + title: Page[Peer] + Page_Session_: + properties: + items: + items: + $ref: '#/components/schemas/Session' + type: array + title: Items + total: + type: integer + minimum: 0 + title: Total + page: + type: integer + minimum: 1 + title: Page + size: + type: integer + minimum: 1 + title: Size + pages: + type: integer + minimum: 0 + title: Pages + type: object + required: + - items + - total + - page + - size + title: Page[Session] + Page_Workspace_: + properties: + items: + items: + $ref: '#/components/schemas/Workspace' + type: array + title: Items + total: + type: integer + minimum: 0 + title: Total + page: + type: integer + minimum: 1 + title: Page + size: + type: integer + minimum: 1 + title: Size + pages: + type: integer + minimum: 0 + title: Pages + type: object + required: + - items + - total + - page + - size + title: Page[Workspace] + Peer: + properties: + id: + type: string + title: Id + workspace_id: + type: string + title: Workspace Id + created_at: + type: string + format: date-time + title: Created At + metadata: + additionalProperties: true + type: object + title: Metadata + configuration: + additionalProperties: true + type: object + title: Configuration + type: object + required: + - id + - workspace_id + - created_at + title: Peer + PeerCreate: + properties: + id: + type: string + maxLength: 100 + minLength: 1 + pattern: ^[a-zA-Z0-9_-]+$ + title: Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + configuration: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Configuration + type: object + required: + - id + title: PeerCreate + PeerGet: + properties: + filter: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filter + type: object + title: PeerGet + PeerRepresentationGet: + properties: + session_id: + type: string + title: Session Id + description: Get the working representation within this session + target: + anyOf: + - type: string + - type: 'null' + title: Target + description: Optional peer ID to get the representation for, from the perspective of this peer + type: object + required: + - session_id + title: PeerRepresentationGet + PeerUpdate: + properties: + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + configuration: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Configuration + type: object + title: PeerUpdate + Session: + properties: + id: + type: string + title: Id + is_active: + type: boolean + title: Is Active + workspace_id: + type: string + title: Workspace Id + metadata: + additionalProperties: true + type: object + title: Metadata + configuration: + additionalProperties: true + type: object + title: Configuration + created_at: + type: string + format: date-time + title: Created At + type: object + required: + - id + - is_active + - workspace_id + - created_at + title: Session + SessionContext: + properties: + id: + type: string + title: Id + messages: + items: + $ref: '#/components/schemas/Message' + type: array + title: Messages + summary: + type: string + title: Summary + type: object + required: + - id + - messages + - summary + title: SessionContext + SessionCreate: + properties: + id: + type: string + maxLength: 100 + minLength: 1 + pattern: ^[a-zA-Z0-9_-]+$ + title: Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + peers: + anyOf: + - additionalProperties: + $ref: '#/components/schemas/SessionPeerConfig' + type: object + - type: 'null' + title: Peers + configuration: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Configuration + type: object + required: + - id + title: SessionCreate + SessionGet: + properties: + filter: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filter + is_active: + type: boolean + title: Is Active + default: false + type: object + title: SessionGet + SessionPeerConfig: + properties: + observe_others: + type: boolean + title: Observe Others + description: >- + Whether this peer should form a session-level theory-of-mind representation of other peers in the + session + default: false + observe_me: + type: boolean + title: Observe Me + description: >- + Whether other peers in this session should try to form a session-level theory-of-mind + representation of this peer + default: true + type: object + title: SessionPeerConfig + SessionUpdate: + properties: + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + configuration: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Configuration + type: object + title: SessionUpdate + ValidationError: + properties: + loc: + items: + anyOf: + - type: string + - type: integer + type: array + title: Location + msg: + type: string + title: Message + type: + type: string + title: Error Type + type: object + required: + - loc + - msg + - type + title: ValidationError + Workspace: + properties: + id: + type: string + title: Id + metadata: + additionalProperties: true + type: object + title: Metadata + configuration: + additionalProperties: true + type: object + title: Configuration + created_at: + type: string + format: date-time + title: Created At + type: object + required: + - id + - created_at + title: Workspace + WorkspaceCreate: + properties: + id: + type: string + maxLength: 100 + minLength: 1 + pattern: ^[a-zA-Z0-9_-]+$ + title: Id + metadata: + additionalProperties: true + type: object + title: Metadata + default: {} + configuration: + additionalProperties: true + type: object + title: Configuration + default: {} + type: object + required: + - id + title: WorkspaceCreate + WorkspaceGet: + properties: + filter: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filter + type: object + title: WorkspaceGet + WorkspaceUpdate: + properties: + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + configuration: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Configuration + type: object + title: WorkspaceUpdate + securitySchemes: + HTTPBearer: + type: http + scheme: bearer diff --git a/uv.lock b/uv.lock index 7035c02a..711ab68e 100644 --- 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