* fix(llm): support combined tool calling and structured output across backends
- OpenAI: parse() 500s on non-strict function tools; route tool-carrying
structured requests through create() with an explicit json_schema
response_format (mirrors the streaming path)
- Anthropic: skip the '{' JSON prefill when tools are present so tool_use
blocks stay reachable; make the schema instruction conditional and rely
on parse + repair
- Gemini: native response_schema + function calling is rejected before
Gemini 3; with tools present, inject a schema instruction into the final
turn instead and rely on parse + repair
- All backends: tool-call turns carry no consumable content, so skip
structured-output parsing on them
Extracted from the dialectic structured-output branch (DEV-1652) so the
transport layer can land independently.
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* test(live_llm): exercise combined tools + structured output per provider
Two-turn live flow per backend: a forced tool-call turn (structured
parsing must be skipped) followed by a replay turn that must return a
schema-conforming answer with tools still attached. Asserts the
provider-specific request shaping: no parse() for OpenAI (500s on
non-strict tools), no '{' prefill for Anthropic, no native
response_schema for Gemini.
Verified against live OpenAI (gpt-4.1, gpt-5, gpt-5.4, gpt-5.4-mini)
and Gemini (gemini-2.5-flash).
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix: some needed unrelated test failures
* ci: add label-triggered live LLM test workflow
Adding the run-live-llm label to a PR (or workflow_dispatch) runs
tests/live_llm/ against real provider APIs — the only place the
--live-llm suite runs in CI. Reuses the unified-tests environment and
its Secrets Manager staging-dotenv resolution for provider keys; runs
on ubuntu-latest (no Fly runner, no Docker — the suite only touches the
LLM backends). Pins LIVE_LLM_ANTHROPIC_45_PLUS_MODELS=claude-sonnet-4-5
since the Anthropic family has no default models and would otherwise
silently collect empty.
Opt-in by design: live model behavior is variable, so this is a signal,
not a required check.
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* ci: run live LLM tests on main pushes touching the transport
Mirrors unified-tests' push trigger, scoped to paths that can affect
the live suite (src/llm/, config, the tests, deps, and the workflow
itself) so provider API calls aren't spent on unrelated changes.
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* ci: disable auth in live LLM test environment
The staging dotenv sets AUTH_USE_AUTH=true without a usable JWT secret,
and src/config.py validates the pair at import time — the same reason
unified-tests overrides it. This suite never runs the API server.
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* test(live_llm): fix gpt-5.4 reasoning_effort and gemini replay-turn flake
- test_live_openai: gpt-5.4 dropped 'minimal' from the reasoning_effort
vocabulary, so the gpt5 caching test 400'd — and the OpenAI backend's
BadRequestError terminal swallowed it into an empty CompletionResult.
Pick the effort per model generation.
- test_live_tools_structured_output: use tool_choice='auto' on the
replay turn, matching the production dialectic loop (which never
forces 'none') — NONE mode is what provoked gemini-2.5-flash's empty
candidates. Drop the temperature pin so retries actually resample,
and treat a repeat tool call as a retryable attempt.
Verified live: full suite green, gemini 4/4 consecutive passes.
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* ci: fail live LLM run when no staging secret was loaded
If the latest-tag fetch fails and no second tag exists, the fallback
step is skipped rather than failed, and the job would proceed without
provider keys — every test then skips via require_provider_key and the
run goes green. Guard on both fetch outcomes so that path fails loudly.
DEV-2035
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* docs(live-llm-tests-GHA): remove extra comments
* ci(CODEOWNERS): introduce CODEOWNERS and gate GHA heavy test runs behind being a CODEOWNER
* ci(GHA-live-LLM-tests): consolidate common GHA steps
* test(test_live_openai): fix reasoning level adjustment for gpt-5
* test(live-llm-tests): temporary removal of gate to test the workflow
* test(live-llm-tests): revert removal of gate
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* Peer- and session-scoped JWTs were effectively workspace-scoped: auth() walked the route's declared scope and fell through to a workspace match, so a {w: ws-a, p: alice} token could act on any peer in ws-a.
* feat: peer keys can read sessions they belong to; require workspace on scoped keys
* fix: authorize JWTs by narrowest scope and gate member reads
Follow-up hardening on the narrowest-claim auth fix:
- Scope get_peer_config member-read to the caller's own peer; a session
member could previously read a co-member's per-session config.
- Enforce session membership on POST /peers/{id}/chat: the session_id
arrives in the body (invisible to require_auth), so a peer key could
read any session's injected message history. Check is_peer_in_session
in the handler before the dialectic runs.
- Consolidate the workspace-match check in auth() to a single hoisted
guard so no branch can silently re-open cross-workspace access.
- Normalize empty-string scope claims to None in verify_jwt so a blank
workspace can't satisfy the peer/session token-shape invariant.
- Extract scope_requires_workspace(), shared by verify_jwt and the keys
API so the creation-time guard and verification invariant can't drift.
route requires auth) and CLAUDE.md auth-scoping guidance.
- docs: describe narrow-scope key semantics in the platform reference.
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* feat: defer embedding messages
* fix: rm gauges
* feat: embed messages immediately on create with reconciler fallback (#766)
Adds embed_messages_now background task so newly created messages are
searchable within seconds instead of waiting up to the reconciler
interval. Three-phase claim/lease → embed → persist never holds a DB
session across the embedding call; the reconciler remains the fallback
for failures and stragglers.
* fix: harden immediate-embed fast path and cover its error branches
Wrap embed_messages_now in a top-level try/except so a failure in the
claim or persist phase degrades to "reconciler will retry" instead of
escaping into the background-task runner; the rows stay pending+leased
and the reconciler heals them.
Add tests for the previously-uncovered branches: external-store-unavailable
persist path, the file-upload endpoint's embed scheduling, and direct unit
tests for the shared compute_chunk_positions / build_message_vector_record
helpers.
Document the semantic-search eventual-consistency window in search.mdx
(keyword matches are immediate; vector matches lag creation by seconds).
* fix: don't hold DB session across vector-store upserts
* fix: align semantic-search function to filter null rows
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* docs(integrations): add @honcho-ai/vercel-ai-sdk guide
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* docs(integrations): rewrite Vercel AI SDK guide as cookbook style (DEV-1485)
Reshapes the guide to cookbook formula, adds Full Script section, fixes
maxSteps → stopWhen for ai-sdk v5, renames package, and prunes stale notes.
See PR for full decision log.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* docs(integrations): lead Vercel AI SDK verification with direct-inspection check
- Restructure Verifying section: direct inspection (token delta + dashboard) is now step 1 so readers isolate Honcho's contribution before grading model behavior
- Behavioral tests (first turn, multi-turn, cross-session, tool calling) follow as steps 2-5
- Note `result.toolCalls` as the way to confirm which Honcho tool fired (tool names don't appear in `result.text`)
- Signpost the Full Script from Complete Example so the two snippets read as a staircase, not a duplicate
Addresses review comments on PR #635.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(tests): satisfy basedpyright in test_representation_manager
The save-representation tests added in #615 were structurally correct but
failed strict typing in two places. Static Analysis has been red on main
since the merge.
- `mock_save.await_args` is `_Call | None`; assert it's not None before
reading `.kwargs` / `.args` so basedpyright can narrow the type
- `SimpleNamespace(...)` passed as `message_level_configuration` is an
intentional duck-typed mock (only `.dream.enabled` is read by
`save_representation`), so opt out at the call site with
`# pyright: ignore[reportArgumentType]` rather than constructing a
full `ResolvedConfiguration` (matches the existing `reportPrivateUsage`
ignore pattern in this file)
No runtime behavior changes; `uv run basedpyright` is now clean
project-wide.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(tests): pad timestamp windows in test_messages for clock skew
Three timestamp tests captured `before_request` / `after_request` with
`datetime.now(UTC)` on the host and asserted the server's `created_at`
fell within. Under Docker, the Postgres container's clock can skew tens
of ms from the macOS host, flipping the assertion intermittently under
parallel pytest load.
Pad each window by 1 second on both sides — wide enough to absorb
realistic skew, narrow enough that the test still proves the timestamp
is server-current.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs(integrations): tighten Verifying section after end-to-end smoke
Smoke-tested all five verification steps against a fresh Sonnet 4.6 + Honcho integration. Three findings, all reflected here:
- Cross-session recall (#4): added Note about DERIVER_REPRESENTATION_BATCH_MAX_TOKENS=1024 — short warmups don't accumulate enough content to flush observations, so cross-session recall returns empty even on a working integration.
- Tool calling prompt (#5): replaced the honcho_chat patterns prompt with a verbatim-retrieval honcho_search prompt. Sonnet skips honcho_chat when middleware-injected context already answers; verbatim retrieval forces a fire.
- Tool inspection (#5): replaced result.toolCalls reference with result.steps[i].toolCalls + flatMap snippet. Top-level toolCalls is empty in multi-step calls (stopWhen: stepCountIs(N)) — the fires are nested inside steps.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs(integrations): make Step 4 cross-session test durable via honcho_search
Replace the prose-recall test ("Based on what we've talked about, what do you know about me?") with a forced honcho_search call. Prose recall depended on the model getting deriver-built representation/peer-card in its system prompt, which is gated behind DERIVER_REPRESENTATION_BATCH_MAX_TOKENS=1024 — short tutorial-length conversations don't trigger it, producing false negatives on a working integration.
honcho_search hits message embeddings, which are computed synchronously at message persist time (src/crud/message.py:262-276), so peer-scoped retrieval works regardless of how short the prior session was. Also folds the result.steps[i].toolCalls inspection snippet from the old Step 5 into Step 4 — same prompt, no need for two sections.
Drops Step 5 entirely.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
* 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>
* feat: fix race condition in message sequence batching
* fix: CodeRabbit comments; commit early to release the advisory lock before generating embeddings
* fix: use index + rm unused method
* fix: PR comments
* fix: bug in lock timeout
* fix: patch tracked_db for peers route within conftest.py
* feat: add support for custom message timestamps in API
- Introduced `created_at` parameter for message creation, allowing users to specify custom timestamps.
- **Single source of truth for timestamp string format**
- Updated SDK documentation to reflect this new feature and its use cases.
- Enhanced validation schemas to include the optional `created_at` field.
- Added tests to verify functionality for messages with and without custom timestamps, ensuring correct behavior and default timestamp usage.
* feat: add timestamp option to sdks
* feat: Add get summaries endpoints
* feat: WIP basic SDK implementation blocked until stainless release
* feat: Implement SDKs with honcho-core methods
* fix (sdk): Used release 1.4.0 core sdks
* fix: Code Rabbit
* chore: Pytest errors
---------
Co-authored-by: Benjamin McCormick <docterformer@protonmail.com>
* feat: add complex arbitrary filtering on all objects
* fix: safe numeric casting and application of comparators
* fix: add way more tests, fix bugs with filter parsing
* chore: pass model_class as arugment to apply_filter
* fix: default to not caring about is_active in get_sessions_for_peer
* fix: address coderabbit complaints (valid)
* fix: throw filter errors when necessary, validate inputs and handle edge cases with more tests
* fix: remove all type errors and most type warnings
* fix: don't use db in tests that don't need it
cheat: sprinkle in some pyright: ignore in filter.py
* fix: allowlist for filtering -- no filtering by content, message id, or anything internal
* fix: handle mixed types in metadata, add tests
* chore: refine types
* chore: rename fiter param everywhere
* type stuff
* add action
* bump python
* Refactor type annotations and update tracking decorators in agent and dependencies modules. Replace ai_track with track from src.utils.types, and enhance type hints for better clarity. Update pyproject.toml to allow untyped libraries.
* type everything basically
* fix migration typing
* type like crazy
* remove usless tests
* Update mocks in tests to use AsyncMock for dialectic_call and dialectic_stream, ensuring proper async behavior in test cases. Adjust mock return values for consistency and clarity.
* Update src/deriver/tom/single_prompt.py
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update src/deriver/tom/long_term.py
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Enhance CLAUDE.md documentation with additional details on core concepts, API structure, and development commands. Update command syntax for running server and tests to use 'uv run' for consistency. Improve clarity in configuration and architectural decisions sections.
* Refactor type annotations in CRUD functions to accept more flexible filter types, changing from dict[str, str] to dict[str, Any]. Clean up logging in agent.py by removing unnecessary timing logs for user representation generation and query execution.
* Remove unused import of ai_track from long_term.py and single_prompt.py to clean up the codebase.
* pass tests
* update some stuff
* fix unused
* ruff
* make stuff work again
* Add LLM_GROQ_API_KEY to GitHub Actions and format tom_inference parameters
* test
* test
* Refactor LLM settings to use 'gemini' provider and update related model parameters; remove unused API keys from GitHub Actions workflow.
* Update LLM settings to use 'anthropic' provider and change model to 'claude-3-5-haiku-20241022'; maintain existing summarization provider.
* test
* llm provider stuff
* update
* revert
* Integrate client management for LLM providers across various modules; remove deprecated environment variable setup for API keys.
* only if key avaialble
* Refactor type hints and improve schema definitions for queue processing; remove unused imports and enhance function signatures for clarity.
* fix test
* model
* test
* Update LLM provider type annotations and enhance client management; replace Provider with Providers for better type handling in config and clients modules.
* Refactor LLM provider handling to default to "openai" for custom providers across multiple modules; update type annotations and improve client management for consistency.
---------
Co-authored-by: Dani Balcells <18307962+danibalcells@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* chore: Update versioning for release
* fix: remove db creation at start and sync migrations and models
* fix: Checkpoint changing metamessage schema
* chore: linter fixes
* fix: session cloning working
* Hybrid long-term memory (#92)
* Add TOM method switching
* Add system prompt and note on format
* Add persistence tweaks
* Specify format for each section of user representation
* Parse XML tags before saving representation metamessage
* Clean up
* Use Claude 3.5 Haiku and refine prompt
* Simplify message processing
* chore: update token limit on dialectic and model for deriver
* Add embedding-based long-term fact retrieval
* Fix bug preventing new documents from being created
* Use multiple queries + tweak prompt
* Fix collection name bug + add duplicate removal
* First implementation of on-demand user rep generation
* WIP debug on-demand user rep changes
* Fixed representations not being stored & deriver issue
* Some speed improvements
* Play with number of facts / queries
* WIP prompt caching for Claude
* WIP fix anthropic caching
* Anthropic prompt caching working but messages too short
* Use Cerebras for small inferences
* Make dialectic responses 1000 tokens max
* Make user representation generation model a constant
* Use llama 3.1 8b for query generation
* Update env template
* Add crud.get_or_create_protected_collection
* rabbit comments
* Fix linter issues
* Add Cerebras to stream router method
* Better handling of default-empty string args
* Change prints to debug logs
* Add error handling to TOM inference
* Handle missing/empty client in model responses
* Handle no messages case in get_chat_history
* Fix indent
* Add error handling to single_prompt methods
* Fix get_or_create_user_protected_collection
* Simplify openAI-compatible model client instantiation
* Remove health endpoint
* Remove LocalEmbeddingStore
* Change prints to debug logs
* Change sentry track
* Code review changes
* Add README to ToM module
* Switch to Groq
* Fix inconsistent openai compatible provider list in stream()
* Update env template to include Groq variables
* Add model_client tests
* fix: Fix unit tests
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* add scoped API keys (#91)
* add AUTH_JWT_SECRET and ADMIN_KEY, use in security middleware (TODO granular keys)
* WIP: convert all API paths to use scoped keys
* add basic unit tests for API keys, ruff formatting
* MVP of route using JWT for payload
* add get_user_from_token
* add key table to postgres, use it to enable key revocation
* add key revocation pt 2 -- fix order of param checks
* finish convenience routes that assume params from JWT
* add tests for key API
* get_keys
* add secrets utility script, add key rotation, fill out tests
* add tiny cache as PoC
* nits, validations, etc
* only create keys table migration if necessary
* fix keys tests to always use auth
* tiny fix to make custom DATABASE_SCHEMA work
* review: add better docs, fix security issue with cache, clear db on rotation, and more
* remove rotation
* remove key database entirely
* Add `/all` path to get all apps (#94)
* add `/all` path for apps
* assert vector extension installed (need this for groudon)
* review
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* add scoped API keys (#91)
* add AUTH_JWT_SECRET and ADMIN_KEY, use in security middleware (TODO granular keys)
* WIP: convert all API paths to use scoped keys
* add basic unit tests for API keys, ruff formatting
* MVP of route using JWT for payload
* add get_user_from_token
* add key table to postgres, use it to enable key revocation
* add key revocation pt 2 -- fix order of param checks
* finish convenience routes that assume params from JWT
* add tests for key API
* get_keys
* add secrets utility script, add key rotation, fill out tests
* add tiny cache as PoC
* nits, validations, etc
* only create keys table migration if necessary
* fix keys tests to always use auth
* tiny fix to make custom DATABASE_SCHEMA work
* review: add better docs, fix security issue with cache, clear db on rotation, and more
* remove rotation
* remove key database entirely
* Add `/all` path to get all apps (#94)
* add `/all` path for apps
* assert vector extension installed (need this for groudon)
* review
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* chore: README and CHANGELOG updates
* add JWT expiry
* fix: Consolidate get methods with JWT token resolution
* chore: Add Annotation to Path, Query, and Body params
* chore: run ruff formatter
* chore: nits & add one exhaustive test of a query route
* fix: undo change to fly.toml
* fix: Langfuse tracing
* Consolidate Get Methods (#96)
* fix: Consolidate get methods with JWT token resolution
* chore: Add Annotation to Path, Query, and Body params
* chore: run ruff formatter
* chore: nits & add one exhaustive test of a query route
* fix: undo change to fly.toml
---------
Co-authored-by: dr-frmr <docterformer@protonmail.com>
* fix: dev-667 fix streaming endpoint
* fix: Anthropic Langfuse Tracing
* fix: add scripts folder to dockerfile
* fix: Remove redundant fields from pydantic schemas
* fix: Add deeper protection on reserved collection
* fix: Consolidate chat and stream methods
* docs: Update Mintlify API Reference and Changelog
* remove langchain guide, update architecture diagram
* honcho mcp server
* chore: Update .env template
* update discord, temporarily remove other guides
* Limit dialectic & deriver context usage with two-scale progressive summarization (#97)
* WIP two tiered summaries
* Move to process_item
* Save user rep metamessage even if no message_id
* Change number of messages per short summary
* Fix broken mock
* Remove prints
* chore: fix test
---------
Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
* feat: Add Gemini Support, link facts to message, use 8b for dialectic fact queries
* chore: Styling
* chore: coderabbit nitpicks
* keep dialectic guide
* Add streaming guide
* Remove TODO from dialectic guide
* Fix JS snippets that referred to honcho singleton as client
* Add App explanation to architecture page
---------
Co-authored-by: Dani Balcells <18307962+danibalcells@users.noreply.github.com>
Co-authored-by: doria <93405247+dr-frmr@users.noreply.github.com>
Co-authored-by: dr-frmr <docterformer@protonmail.com>
Co-authored-by: vintro <vince@plasticlabs.ai>
Co-authored-by: Daniel Balcells <dbalcells@gmail.com>
* fix: increase db pool limit and optimize crud requests
* fix: Sentry tracing and fly concurrency
* feat: Add alembic and indexes
* feat: Batch insert method
* fix: Pydantic Validation
* fix: Added Pydantic based API validation and Associated Test Cases
* chore: Update Changelog
* fix(docs): Update Docs with new API Method and OpenAPI Spec
* chore(ci): Add Environment Variable for Anthropic
* fix: remove opentelemtry code and make deriver workers configurable
* feat(storage) change get route for messages and metamessages to use POST for options
* feat(storage) Change remaining paginated gets to POST requests with options
* fix(embedding) use base openai for embedding and remove azure
* feat(models) switch to nanoids with internal and public id system
* feat(pydantic) Updates models and routes to get tests passing
* fix(deriver) fix enqueue method
* Perf Testing Utilities
* feat(dialectic) Allow for batch questions and load session history
* feat(dialectic) parallelize facts and history queries
* feat(agent) Addresses dev-258 allow specifying additional collections
* feat(uv) switched from poetry to uv
* feat(deriver) Turn off derivations by editing session medatadata with a deriver_disabled flag
* fix(tests) Clean up test logic
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Co-authored-by: Vineeth Voruganti <vineeth@macbook-pro.mynetworksettings.com>
* fix(storage) Remove location_id
* feat(deriver) Deriver can process multiple sessions at once and uses rich for prints
* fix(route) collection update error handling
* chore(docs) update openapi and version numbers
* chore: Save Point
* fix(db): change connection logic and remove unnecessary refreshes
* fix(documents): switch to Azure embedding model
* feat: Setup pytest fixtures
* feat(tests): Initial test routes for tranche 1
* feat(test) tranche 2 of tests and associated bug fixes
* feat(test) tranche 3 of tests and associated bug fixes
* fix(tests) Address PR comments and update version and changelog
Eugene Eisenstein
Rajat Ahuja
Lily
doria
Benjamin McCormick
Vineeth Voruganti
Ayush Paul