* chore: 3.0 honcho and 2.0 sdks changelog fix: use PeerContextResponse in peer.ts * chore: move docs to /v3/, build SDKs * chore: code review * feat: [WIP] migrate away from stainless in typescript sdk * chore: move api from /v2/ to /v3/ * feat: no-stainless typescript with real tests * feat: migrate python sdk off of stainless * feat: clean typescript sdk * chore: add tests for ts http client * fix: rewrite entire python sdk in new format, update typescript sdk to use `configuration` not `config` for consistency with API * fix: clean up SDKs, synchronize * chore: update sdk examples * chore: update OpenAPI documentation and SDK examples to reflect changes * fix: better test * fix: install deps in test runner, improve robustness of streaming in sdk, coderabbit nits * fix: standardize around camelCase in TS SDK * refactor: update configuration handling in SDKs to use typed models for workspace, session, and peer configurations * docs: clarify queue status usage and remove polling methods from SDKs add claude skills for migrations * chore: fix links in docs * feat: add deriver flush mode to bypass batch token threshold - Introduced `is_deriver_flush_enabled` function to check if flush mode is active. - Updated `QueueManager` to conditionally apply batch token thresholds based on flush mode. - Enhanced `UnifiedTestExecutor` to enable flush mode via Redis. - Added `flush` parameter to test cases to facilitate testing of flush mode behavior. - Updated various test cases to utilize the new flush functionality. * feat: implement schedule_dream functionality in SDKs, use in unified test runner - Added `schedule_dream` method to both Python and TypeScript SDKs for scheduling dream tasks. - Updated HTTP routes to include endpoint for scheduling dreams. - Enhanced test runner to utilize the new `schedule_dream` method for scheduling actions. - Updated TypeScript client to support the new scheduling functionality with appropriate parameters. * feat: update single deriver task to support multiple observers - Changed the `observer` parameter to `observers` as a list in multiple functions across the deriver module. - Updated the processing logic to handle multiple observers for representation tasks. - Adjusted related payload and queue management functions to accommodate the new observers structure. - Modified tests to reflect changes in the representation task handling and ensure proper functionality. * refactor: update enqueue tests to support deduplication of queue items with multiple observers - Modified tests in `test_enqueue.py` to reflect changes in the queue item structure, where each message now results in a single queue item containing a list of observers. - Updated assertions to validate that the `observers` field correctly includes all relevant peers, ensuring proper functionality of the deduplication logic. - Removed redundant payload matching logic to streamline test cases and improve clarity. * fix: add backwards compatibility for representation work unit keys and payload observers * feat: update dialectic configuration and introduce cost calculator - Adjusted LLM and dialectic settings in `.env.template`, `config.toml.example`, and `src/config.py` to reduce maximum tool output characters and session history tokens for cost efficiency. - Implemented a new `dialectic_cost_calculator.py` script to estimate costs based on reasoning levels and model pricing. - Enhanced `DialecticAgent` to utilize minimal tools and adjusted output token settings based on reasoning level to optimize performance and reduce costs. * feat: add reasoning level to chat input in unified test runner - Enhanced the `UnifiedTestExecutor` to include a `reasoning_level` parameter in the chat method call. - Updated the `QueryAction` model to support the new `reasoning_level` attribute, allowing for more nuanced chat interactions. * feat: run deriver once for multiple observers (#335) * feat: update single deriver task to support multiple observers - Changed the `observer` parameter to `observers` as a list in multiple functions across the deriver module. - Updated the processing logic to handle multiple observers for representation tasks. - Adjusted related payload and queue management functions to accommodate the new observers structure. - Modified tests to reflect changes in the representation task handling and ensure proper functionality. * refactor: update enqueue tests to support deduplication of queue items with multiple observers - Modified tests in `test_enqueue.py` to reflect changes in the queue item structure, where each message now results in a single queue item containing a list of observers. - Updated assertions to validate that the `observers` field correctly includes all relevant peers, ensuring proper functionality of the deduplication logic. - Removed redundant payload matching logic to streamline test cases and improve clarity. * fix: add backwards compatibility for representation work unit keys and payload observers * feat: refactor benchmark runners to share common functionality - Introduced a new `runner_common.py` module containing shared utilities for benchmark test runners, including common argument parsing, client creation, and queue management. - Updated `BEAMRunner`, `LoCoMoRunner`, and `LongMemEvalRunner` to inherit from `RunnerMixin`, leveraging shared functionality for metrics collection and logging. - Added `reasoning_level` and `redis_url` parameters to runner constructors for enhanced configuration. - Streamlined argument parsing by utilizing `add_common_arguments` for shared command-line options across all runners. * fix: update last_user_message handling to use message content instead of ID * fix: standardize config vs configuration --------- Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com> |
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| examples | ||
| src | ||
| .gitignore | ||
| CHANGELOG.md | ||
| README.md | ||
| biome.json | ||
| bun.lock | ||
| bunfig.toml | ||
| package.json | ||
| tsconfig.json | ||
README.md
Honcho TypeScript SDK
A high-level, ergonomic TypeScript SDK for the Honcho conversational memory platform. This library wraps honcho-node-core to provide a user-friendly, Pythonic API for managing peers, sessions, and conversational context.
Installation
npm install @honcho-ai/sdk
Usage
import { Honcho } from "@honcho-ai/sdk";
const honcho = new Honcho({
apiKey: process.env.HONCHO_API_KEY,
baseUrl: "http://localhost:8000",
workspaceId: "test",
});
const assistant = honcho.peer("bob");
const alice = honcho.peer("alice");
await honcho.getPeers();
const session = honcho.session("session_1");
await session.addPeers([alice, assistant]);
await session.addMessages([
assistant.message("What did you have for breakfast today, alice?"),
alice.message("I had oatmeal."),
]);
const response = await alice.chat("what did alice have for breakfast today?");
console.log(response);
See examples/ for more.
Development
Type checking
bun run typecheck
Testing
Tests for the SDK live in tests/ at the monorepo root and are run via pytest, which orchestrates a test server. Do not run bun test directly.
# From the monorepo root
uv run pytest tests/ -k typescript