From 93dcf59c4a4225bb020b20c628799737fefae318 Mon Sep 17 00:00:00 2001 From: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com> Date: Mon, 10 Aug 2026 14:56:07 -0400 Subject: [PATCH] chore(docs): Update changelogs (#1007) --- CHANGELOG.md | 49 ++++++++++++++++++ docs/changelog/introduction.mdx | 90 ++++++++++++++++++++++++++++++++- docs/docs.json | 2 +- honcho-cli/CHANGELOG.md | 5 ++ pyproject.toml | 2 +- sdks/python/CHANGELOG.md | 7 +++ sdks/python/pyproject.toml | 2 +- sdks/typescript/CHANGELOG.md | 6 +++ sdks/typescript/package.json | 2 +- uv.lock | 6 +-- 10 files changed, 163 insertions(+), 8 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 7c56ddec..a25954ac 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,53 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). +## [3.0.12] - 2026-08-10 + +### Added + +- Session allowlist on the Dialectic and representation via a constrained `filters` body on `POST /peers/{peer_id}/chat` and `/representation`, supporting only the `session_id` key (a session id, a bare list, or `{"in": [...]}`). Unsupported keys and shapes are rejected with 422 rather than silently ignored, it composes with `session_id` (which must be included in the allowlist when both are given), and it is capped at 1,000 sessions per request. Enforcement is uniform and fail-closed at every recall chokepoint: scoped conclusion recall is restricted to `level == "explicit"` (dream-derived conclusions carry a single `session_name` but are synthesized across all sessions, so that stamp can't be scoped on), `get_reasoning_chain` is unavailable under an allowlist, and an empty allowlist short-circuits to empty results everywhere. Workspace keys pass the allowlist as-given; peer-scoped JWTs must be an active member of every allowlisted session (403 otherwise) (#882) +- Bare-list membership sugar in the filter DSL: `{"session_id": ["s1", "s2"]}` is now shorthand for `{"session_id": {"in": [...]}}` on regular columns generically. JSONB metadata columns are excluded and keep containment semantics. Strictly additive, since a bare list on a regular column previously compiled to a type-mismatched equality that matched nothing (#881) +- Optional structured outputs on the Dialectic: `response_format` (a JSON Schema with root type `object`) on peer chat makes `content` a JSON string conforming to that schema. Only a conservative subset of JSON Schema is supported, with DoS guards and non-recursive `$ref` support (#896) +- Combined tool calling and structured output in the LLM transport layer, with per-backend request shaping: OpenAI routes tool-carrying structured requests through `create()` with an explicit `json_schema` response format (`parse()` 500s on non-strict function tools), Anthropic skips the `{` JSON prefill when tools are present so `tool_use` blocks stay reachable, and Gemini injects a schema instruction into the final turn instead of using native `response_schema` (rejected alongside function calling before Gemini 3). All backends skip structured-output parsing on tool-call turns, which carry no consumable content (#907) +- `card_refresh` dream type: a lightweight dream that runs only the peer-card update, for event-driven refreshes such as membership changes and cold starts. Handled by a new `CardRefreshSpecialist` restricted to `get_recent_observations`, `search_memory`, and `update_peer_card` (no observation-mutating tools) with a tool-iteration cap of `min(6, DREAM.MAX_TOOL_ITERATIONS)`. `POST /v3/workspaces/{workspace_id}/schedule_dream` accepts `dream_type=card_refresh` plus a `rebuild` flag, which omits the existing card from the prompt so the specialist rebuilds it solely from observations present in the collection. Card refreshes never advance the omni dream guard pair (`last_dream_at` / `last_dream_document_count`) (#883) +- Full-fidelity LLM trace stream, with Langfuse as one projection over it: each call is captured once (`CapturedLLMCall`) and fanned out to a CloudEvents trace stream (`llm.call.traced` / `trace.content`) and a Langfuse exporter, both reconstructing trace → run → step → generation from the same source of truth. Adds `TELEMETRY_TRACE_PAYLOADS_ENABLED` (default `false`), `TELEMETRY_TRACE_MAX_BYTES` (default 262144, per-message cap with oversized content clipped), `TELEMETRY_TRACE_PURPOSES` (JSON list of `CallPurpose` values; empty means all), and `LANGFUSE_EXPORTER_MODE` (`exporter` by default; `inline` is kept for one release for side-by-side validation). Embedding calls are traced, dreamer branches nest under one dream trace, tool calls become spans under their step, and high-volume events are sampled deterministically. `TRACE_ENDPOINT` is dropped (#845) +- Redis Cluster support via `CACHE_CLUSTER` (for example GCP Memorystore for Redis Cluster), alongside a new `CACHE_LOCK_WAIT_CHECK_INTERVAL_SECONDS` (#905) +- `EMBEDDING_MODEL_CONFIG__MAX_BATCH_SIZE` caps texts per embedding request for OpenAI-compatible providers with smaller limits than OpenAI's, such as DashScope `text-embedding-v4` (10) and Alibaba Bailian `qwen3.7-text-embedding` (20). When unset, native provider defaults are preserved (OpenAI 2048, Gemini 100) (#983) +- Per-request provider timeouts via `provider_params.timeout` on any model config, validated at config load so a bad value fails at startup with the exact config path instead of surfacing per-request as a retried 500. Good values normalize to float seconds; Gemini's is converted to milliseconds (#832) +- `RepresentationCompletedEvent` now reports deduplication counts: `exact_dup_in_batch_count`, `exact_dup_existing_count`, `semantic_dup_rejected_count`, and `semantic_dup_replaced_count` (#910) +- OAuth discovery for MCP clients: the MCP worker serves `/.well-known/oauth-protected-resource` (RFC 9728) without auth so clients can discover the authorization server, and a 401 now carries `WWW-Authenticate: Bearer resource_metadata="..."` (exposed cross-origin) to start the flow (#923) +- Prometheus metrics for the immediate-embed fast path: tasks shed because `EMBEDDING_MAX_PENDING_EMBED_TASKS` was reached, and the current in-flight task count (#892) +- Docs: a detailed system architecture diagram, a Codex integration guide (#879), a structured-outputs page (#896), a section on filtering conclusions by reasoning level (#851), a health-check endpoint reference, and SDK updates (#867) + +### Changed + +- **Breaking config change:** `DERIVER_REPRESENTATION_BATCH_MAX_TOKENS` is split into two settings that were previously conflated — `DERIVER_REPRESENTATION_BATCH_WORK_UNIT_TARGET_TOKENS` (default 512), the producer-side minimum a work unit accumulates before the deriver claims it, where `0` disables the gate; and `DERIVER_REPRESENTATION_BATCH_TARGET_INPUT_TOKENS` (default 1024), the consumer-side maximum context-window tokens per deriver LLM call. Deployments setting the old name must migrate (#889) +- The immediate-embed fast path now applies backpressure: `EMBEDDING_MAX_PENDING_EMBED_TASKS` (default 50) caps in-flight embed tasks, and once saturated, message creation skips the fast path entirely and the reconciler embeds on its next cycle. `0` disables the fast path (#892) +- Explicit-level documents are now kept session-pure, so memory can be built by copying explicit documents between collections. Enforcement refuses rather than rewrites: `create_documents` rejects explicit documents with a null `session_name`, exact dedup keys on (content, level, session-for-explicit), semantic dedup scopes candidate search to the same level and — for explicit documents — the same session, and the generic `create_observations` tool rejects `level='explicit'` outside message-ingestion (deriver) context. Derived levels keep cross-session consolidation (#883) +- Sentry's `before_send` filter is centralized as `default_before_send` in `src/telemetry/sentry.py` instead of living only in the API's `main.py`, so the deriver gets the same non-actionable-exception filtering. All Sentry events also carry a `namespace` tag for correlation (#934, #870) +- The minimal deriver's extraction examples no longer teach inferences its own output schema forbids. The `EXAMPLES` block demonstrated deriving a specific birthday from "I just had my 25th birthday last Saturday", deriving residence from a single visit ("I took my dog for a walk in NYC" → "alice lives in NYC"), and a "+ general knowledge" deductive output the deriver has no channel for. The replacements stay inside the schema's contract and teach the boundary: the dog/NYC message is kept and shown extracting correctly, and a separate example shows "lives in NYC" is valid when actually stated (#985) +- Dreamer specialists are instructed not to output summaries (#894) +- `session_name` is deprecated for scoping in favor of the session allowlist. It is not removed and not aliased: it also pins the query to one session, bypasses observer scoping, and drives session-history injection into the dialectic prompt, so it has no drop-in replacement (#882) +- The MCP worker no longer requires the `X-Honcho-User-Name` or `X-Honcho-Assistant-Name` headers (#923) + +### Fixed + +- Session scoping was applied to only one of the three working-representation query paths: `session_name` reached the recent-documents query, but the semantic and most-derived paths ignored it, so `limit_to_session` leaked cross-session conclusions into perspectives. The allowlist is now threaded uniformly through all three paths and pushed down to pgvector and external vector stores (#881) +- Empty membership lists failed open in the vector-store filter builders, silently widening scope: LanceDB dropped empty `IN` clauses and Turbopuffer emitted a bare `In []` with undocumented semantics. Both now emit an explicit always-false predicate, and `_build_filter_conditions` checks `is not None` rather than truthiness so an empty list is no longer treated like `None` (#881, #882) +- Session-scoped CRUD helpers ignored the session allowlist entirely, so a caller could read a session the allowlist forbids. The API routes guarded this with a 422, but the dialectic tools call these CRUD functions directly and bypassed it. `_semantic_search_messages` (covering `search_messages` and `search_messages_temporal`), `grep_messages`, `get_messages_by_date_range`, `get_recent_history`, and `get_observation_context` now return `[]` when `session_name` is set and outside the allowlist (#882) +- The cache client logged the full Redis URL — including the password — at INFO and WARNING on every connection attempt and failure, exposing the live credential in container logs and downstream aggregation. Credentials are now redacted across userinfo, the `?password=` (redis-py) and `?secret=` (cashews) query params, scheme-less URLs whose password is invisible to `.port`/`.password` parsing, and malformed URLs, whose fallback previously echoed the raw input verbatim (#869) +- A `top_k` of `0` reached the vector store, where Turbopuffer rejects it with a 400 (`top_k must be between 1 and 10000`). A non-positive `top_k` now returns `[]` before the embedding call, and the semantic budget floors at 1 so an explicitly requested search isn't silently allocated zero (#970) +- Gemini clients had no HTTP timeout, so a stalled socket wedged the deriver worker's uvloop event loop, which the in-process reconciler shares. A 10-minute timeout is now set on both the Gemini LLM client and the Gemini embedding client (#903) +- Dreamer conclusions were dated to ingestion time rather than their latest source observation, and their timestamps are now normalized (#890) +- Langfuse I/O annotation was gated on `LANGFUSE_PUBLIC_KEY` instead of `langfuse_inline_enabled`, so in the default `exporter` mode it called `update_current_generation()` with no active span — logging "No active span in current context" roughly 14 times per dialectic run and building throwaway `model_dump` payloads on every LLM call. Separately, `AgentToolSummaryCreatedEvent` hardcoded `run_id="deriver"` / `iteration=0`, polluting `run_id` grouping in the CloudEvents stream with a phantom run; both fields are now optional and the resource id is keyed on `message_id:summary_type` (schema_version 2 → 3) (#845) +- Assistant tool calls were dropped from the captured trace stream for OpenAI and Gemini: `build_captured_messages` read only `{role, content, tool_call_id}`, but those providers keep tool calls outside `content`, so replayed tool-call turns landed as empty content and Gemini lost its text and tool results entirely. Tool calls are now normalized per provider into a unified `tool_calls` field and folded into the content hash. Gemini's `thought_signature` is bytes, so `model_dump(mode="json")` raised `UnicodeDecodeError` inside `emit_trace`, silently dropping whole tool-calling iterations from the trace stream (billing and Langfuse were unaffected); it is now base64-encoded on the telemetry path while replay keeps the raw bytes (#845) +- `EmbeddingClient.encoding` forced full client construction, raising "OpenAI API key is required" even though tiktoken needs no credentials. The document dedup tie-break only needs `.encoding` for token counting, so any test hitting that path failed in environments without embedding keys — notably CI for pull requests from forks. The encoding is now resolved from the configured model directly, falling back to `cl100k_base`, and the underlying client's encoding is reused only when it has already been constructed (#955) +- The Docker build failed under Podman because the uv build inputs weren't copied (#878) +- LanceDB was installed on macOS Intel, where it doesn't work. A PEP 508 marker excludes `darwin/x86_64` and the LanceDB vector-store import is wrapped so a misconfiguration surfaces as a clear config error (#496) +- Prompt checks requiring the literal token "json" for `json_object` mode are now satisfied in lowercase (#887) +- Reverted an unintended `RepresentationCompletedEvent` schema-version increment +- Documented preinstalling pgvector as a privileged role for deployments where the `DB_CONNECTION_URI` role deliberately cannot create extensions (managed Postgres, Kubernetes operators, NixOS). `CREATE EXTENSION IF NOT EXISTS vector` does not help there, because Postgres checks the privilege before checking whether the extension exists. Docker Compose is unaffected, since the bundled stack connects as the `postgres` superuser (#984) + ## [3.0.11] - 2026-06-24 ### Added @@ -31,6 +78,8 @@ and this project adheres to [Semantic Versioning](http://semver.org/). - Fixed a `create_tree` keyword-argument mismatch in the Dreamer's surprisal tree construction (#749) - Providers that omit output-token counts (observed with Gemini on tool-loop completions) returned `output_tokens=None`, which raised a Pydantic validation error that aborted the call and crashed the Dreamer's induction phase before inductive conclusions were persisted. `None` is now coerced to `0` so token accounting degrades gracefully (#809) - Document creation now performs exact (case-insensitive, whitespace-trimmed) content deduplication before the existing semantic dedup step: exact duplicates within a batch collapse to a single insert, and an exact match against a live document reinforces it (atomic `times_derived` increment) instead of creating a new row (#861) +- The OpenAI backend passed `tool_choice` through raw while the Anthropic and Gemini backends translate Honcho's canonical vocabulary to their native form, so on a mixed-provider fallback chain (for example Gemini primary → OpenAI backup) a canonical `"any"` reached OpenAI unchanged and was rejected as an invalid param. The OpenAI backend now converts it, mirroring the others: `any`/`required` → `required`, `auto`/`none` pass through, and a tool-name string or `{"name": ...}` dict becomes a function selection (#850) +- Langfuse `@observe` auto-capture serialized every argument of `honcho_llm_call_inner` into the generation span input, including `client_override` (a live `AsyncOpenAI`/`genai` client) and `selected_config` (which carries `api_key`). Auto-capture deep-copied the client into a half-constructed object whose teardown raised (`AsyncHttpxClientWrapper ... no attribute '_state'` on OpenAI, flooding stderr; `BaseApiClient ... no attribute '_http_options'` on Gemini), and it leaked `ModelConfig.api_key` into traces. Capture is now an explicit allowlist: `capture_input`/`capture_output` are disabled and curated, serializable input and output are stamped instead, with tuning knobs surfaced as `model_parameters` via a secret-bearing denylist and per-call token usage mirrored as `usage_details` (#849) ## [3.0.10] - 2026-06-15 diff --git a/docs/changelog/introduction.mdx b/docs/changelog/introduction.mdx index 62af1a6d..0a5ffda8 100644 --- a/docs/changelog/introduction.mdx +++ b/docs/changelog/introduction.mdx @@ -27,7 +27,54 @@ Welcome to the Honcho changelog! This section documents all notable changes to t ### Honcho API and SDK Changelogs - + + ### Added + + - Session allowlist on the Dialectic and representation via a constrained `filters` body on `POST /peers/{peer_id}/chat` and `/representation`, supporting only the `session_id` key (a session id, a bare list, or `{"in": [...]}`). Unsupported keys and shapes are rejected with 422 rather than silently ignored, it composes with `session_id` (which must be included in the allowlist when both are given), and it is capped at 1,000 sessions per request. Enforcement is uniform and fail-closed at every recall chokepoint: scoped conclusion recall is restricted to `level == "explicit"` (dream-derived conclusions carry a single `session_name` but are synthesized across all sessions, so that stamp can't be scoped on), `get_reasoning_chain` is unavailable under an allowlist, and an empty allowlist short-circuits to empty results everywhere. Workspace keys pass the allowlist as-given; peer-scoped JWTs must be an active member of every allowlisted session (403 otherwise) (#882) + - Bare-list membership sugar in the filter DSL: `{"session_id": ["s1", "s2"]}` is now shorthand for `{"session_id": {"in": [...]}}` on regular columns generically. JSONB metadata columns are excluded and keep containment semantics. Strictly additive, since a bare list on a regular column previously compiled to a type-mismatched equality that matched nothing (#881) + - Optional structured outputs on the Dialectic: `response_format` (a JSON Schema with root type `object`) on peer chat makes `content` a JSON string conforming to that schema. Only a conservative subset of JSON Schema is supported, with DoS guards and non-recursive `$ref` support (#896) + - Combined tool calling and structured output in the LLM transport layer, with per-backend request shaping: OpenAI routes tool-carrying structured requests through `create()` with an explicit `json_schema` response format (`parse()` 500s on non-strict function tools), Anthropic skips the `{` JSON prefill when tools are present so `tool_use` blocks stay reachable, and Gemini injects a schema instruction into the final turn instead of using native `response_schema` (rejected alongside function calling before Gemini 3). All backends skip structured-output parsing on tool-call turns, which carry no consumable content (#907) + - `card_refresh` dream type: a lightweight dream that runs only the peer-card update, for event-driven refreshes such as membership changes and cold starts. Handled by a new `CardRefreshSpecialist` restricted to `get_recent_observations`, `search_memory`, and `update_peer_card` (no observation-mutating tools) with a tool-iteration cap of `min(6, DREAM.MAX_TOOL_ITERATIONS)`. `POST /v3/workspaces/{workspace_id}/schedule_dream` accepts `dream_type=card_refresh` plus a `rebuild` flag, which omits the existing card from the prompt so the specialist rebuilds it solely from observations present in the collection. Card refreshes never advance the omni dream guard pair (`last_dream_at` / `last_dream_document_count`) (#883) + - Full-fidelity LLM trace stream, with Langfuse as one projection over it: each call is captured once (`CapturedLLMCall`) and fanned out to a CloudEvents trace stream (`llm.call.traced` / `trace.content`) and a Langfuse exporter, both reconstructing trace → run → step → generation from the same source of truth. Adds `TELEMETRY_TRACE_PAYLOADS_ENABLED` (default `false`), `TELEMETRY_TRACE_MAX_BYTES` (default 262144, per-message cap with oversized content clipped), `TELEMETRY_TRACE_PURPOSES` (JSON list of `CallPurpose` values; empty means all), and `LANGFUSE_EXPORTER_MODE` (`exporter` by default; `inline` is kept for one release for side-by-side validation). Embedding calls are traced, dreamer branches nest under one dream trace, tool calls become spans under their step, and high-volume events are sampled deterministically. `TRACE_ENDPOINT` is dropped (#845) + - Redis Cluster support via `CACHE_CLUSTER` (for example GCP Memorystore for Redis Cluster), alongside a new `CACHE_LOCK_WAIT_CHECK_INTERVAL_SECONDS` (#905) + - `EMBEDDING_MODEL_CONFIG__MAX_BATCH_SIZE` caps texts per embedding request for OpenAI-compatible providers with smaller limits than OpenAI's, such as DashScope `text-embedding-v4` (10) and Alibaba Bailian `qwen3.7-text-embedding` (20). When unset, native provider defaults are preserved (OpenAI 2048, Gemini 100) (#983) + - Per-request provider timeouts via `provider_params.timeout` on any model config, validated at config load so a bad value fails at startup with the exact config path instead of surfacing per-request as a retried 500. Good values normalize to float seconds; Gemini's is converted to milliseconds (#832) + - `RepresentationCompletedEvent` now reports deduplication counts: `exact_dup_in_batch_count`, `exact_dup_existing_count`, `semantic_dup_rejected_count`, and `semantic_dup_replaced_count` (#910) + - OAuth discovery for MCP clients: the MCP worker serves `/.well-known/oauth-protected-resource` (RFC 9728) without auth so clients can discover the authorization server, and a 401 now carries `WWW-Authenticate: Bearer resource_metadata="..."` (exposed cross-origin) to start the flow (#923) + - Prometheus metrics for the immediate-embed fast path: tasks shed because `EMBEDDING_MAX_PENDING_EMBED_TASKS` was reached, and the current in-flight task count (#892) + - Docs: a detailed system architecture diagram, a Codex integration guide (#879), a structured-outputs page (#896), a section on filtering conclusions by reasoning level (#851), a health-check endpoint reference, and SDK updates (#867) + + ### Changed + + - **Breaking config change:** `DERIVER_REPRESENTATION_BATCH_MAX_TOKENS` is split into two settings that were previously conflated — `DERIVER_REPRESENTATION_BATCH_WORK_UNIT_TARGET_TOKENS` (default 512), the producer-side minimum a work unit accumulates before the deriver claims it, where `0` disables the gate; and `DERIVER_REPRESENTATION_BATCH_TARGET_INPUT_TOKENS` (default 1024), the consumer-side maximum context-window tokens per deriver LLM call. Deployments setting the old name must migrate (#889) + - The immediate-embed fast path now applies backpressure: `EMBEDDING_MAX_PENDING_EMBED_TASKS` (default 50) caps in-flight embed tasks, and once saturated, message creation skips the fast path entirely and the reconciler embeds on its next cycle. `0` disables the fast path (#892) + - Explicit-level documents are now kept session-pure, so memory can be built by copying explicit documents between collections. Enforcement refuses rather than rewrites: `create_documents` rejects explicit documents with a null `session_name`, exact dedup keys on (content, level, session-for-explicit), semantic dedup scopes candidate search to the same level and — for explicit documents — the same session, and the generic `create_observations` tool rejects `level='explicit'` outside message-ingestion (deriver) context. Derived levels keep cross-session consolidation (#883) + - Sentry's `before_send` filter is centralized as `default_before_send` in `src/telemetry/sentry.py` instead of living only in the API's `main.py`, so the deriver gets the same non-actionable-exception filtering. All Sentry events also carry a `namespace` tag for correlation (#934, #870) + - The minimal deriver's extraction examples no longer teach inferences its own output schema forbids. The `EXAMPLES` block demonstrated deriving a specific birthday from "I just had my 25th birthday last Saturday", deriving residence from a single visit ("I took my dog for a walk in NYC" → "alice lives in NYC"), and a "+ general knowledge" deductive output the deriver has no channel for. The replacements stay inside the schema's contract and teach the boundary: the dog/NYC message is kept and shown extracting correctly, and a separate example shows "lives in NYC" is valid when actually stated (#985) + - Dreamer specialists are instructed not to output summaries (#894) + - `session_name` is deprecated for scoping in favor of the session allowlist. It is not removed and not aliased: it also pins the query to one session, bypasses observer scoping, and drives session-history injection into the dialectic prompt, so it has no drop-in replacement (#882) + - The MCP worker no longer requires the `X-Honcho-User-Name` or `X-Honcho-Assistant-Name` headers (#923) + + ### Fixed + + - Session scoping was applied to only one of the three working-representation query paths: `session_name` reached the recent-documents query, but the semantic and most-derived paths ignored it, so `limit_to_session` leaked cross-session conclusions into perspectives. The allowlist is now threaded uniformly through all three paths and pushed down to pgvector and external vector stores (#881) + - Empty membership lists failed open in the vector-store filter builders, silently widening scope: LanceDB dropped empty `IN` clauses and Turbopuffer emitted a bare `In []` with undocumented semantics. Both now emit an explicit always-false predicate, and `_build_filter_conditions` checks `is not None` rather than truthiness so an empty list is no longer treated like `None` (#881, #882) + - Session-scoped CRUD helpers ignored the session allowlist entirely, so a caller could read a session the allowlist forbids. The API routes guarded this with a 422, but the dialectic tools call these CRUD functions directly and bypassed it. `_semantic_search_messages` (covering `search_messages` and `search_messages_temporal`), `grep_messages`, `get_messages_by_date_range`, `get_recent_history`, and `get_observation_context` now return `[]` when `session_name` is set and outside the allowlist (#882) + - The cache client logged the full Redis URL — including the password — at INFO and WARNING on every connection attempt and failure, exposing the live credential in container logs and downstream aggregation. Credentials are now redacted across userinfo, the `?password=` (redis-py) and `?secret=` (cashews) query params, scheme-less URLs whose password is invisible to `.port`/`.password` parsing, and malformed URLs, whose fallback previously echoed the raw input verbatim (#869) + - A `top_k` of `0` reached the vector store, where Turbopuffer rejects it with a 400 (`top_k must be between 1 and 10000`). A non-positive `top_k` now returns `[]` before the embedding call, and the semantic budget floors at 1 so an explicitly requested search isn't silently allocated zero (#970) + - Gemini clients had no HTTP timeout, so a stalled socket wedged the deriver worker's uvloop event loop, which the in-process reconciler shares. A 10-minute timeout is now set on both the Gemini LLM client and the Gemini embedding client (#903) + - Dreamer conclusions were dated to ingestion time rather than their latest source observation, and their timestamps are now normalized (#890) + - Langfuse I/O annotation was gated on `LANGFUSE_PUBLIC_KEY` instead of `langfuse_inline_enabled`, so in the default `exporter` mode it called `update_current_generation()` with no active span — logging "No active span in current context" roughly 14 times per dialectic run and building throwaway `model_dump` payloads on every LLM call. Separately, `AgentToolSummaryCreatedEvent` hardcoded `run_id="deriver"` / `iteration=0`, polluting `run_id` grouping in the CloudEvents stream with a phantom run; both fields are now optional and the resource id is keyed on `message_id:summary_type` (schema_version 2 → 3) (#845) + - Assistant tool calls were dropped from the captured trace stream for OpenAI and Gemini: `build_captured_messages` read only `{role, content, tool_call_id}`, but those providers keep tool calls outside `content`, so replayed tool-call turns landed as empty content and Gemini lost its text and tool results entirely. Tool calls are now normalized per provider into a unified `tool_calls` field and folded into the content hash. Gemini's `thought_signature` is bytes, so `model_dump(mode="json")` raised `UnicodeDecodeError` inside `emit_trace`, silently dropping whole tool-calling iterations from the trace stream (billing and Langfuse were unaffected); it is now base64-encoded on the telemetry path while replay keeps the raw bytes (#845) + - `EmbeddingClient.encoding` forced full client construction, raising "OpenAI API key is required" even though tiktoken needs no credentials. The document dedup tie-break only needs `.encoding` for token counting, so any test hitting that path failed in environments without embedding keys — notably CI for pull requests from forks. The encoding is now resolved from the configured model directly, falling back to `cl100k_base`, and the underlying client's encoding is reused only when it has already been constructed (#955) + - The Docker build failed under Podman because the uv build inputs weren't copied (#878) + - LanceDB was installed on macOS Intel, where it doesn't work. A PEP 508 marker excludes `darwin/x86_64` and the LanceDB vector-store import is wrapped so a misconfiguration surfaces as a clear config error (#496) + - Prompt checks requiring the literal token "json" for `json_object` mode are now satisfied in lowercase (#887) + - Reverted an unintended `RepresentationCompletedEvent` schema-version increment + - Documented preinstalling pgvector as a privileged role for deployments where the `DB_CONNECTION_URI` role deliberately cannot create extensions (managed Postgres, Kubernetes operators, NixOS). `CREATE EXTENSION IF NOT EXISTS vector` does not help there, because Postgres checks the privilege before checking whether the extension exists. Docker Compose is unaffected, since the bundled stack connects as the `postgres` superuser (#984) + + + ### Added - `api_request_duration_seconds` Prometheus histogram tracking per-route request latency, labeled by method and endpoint (#837) @@ -52,6 +99,8 @@ Welcome to the Honcho changelog! This section documents all notable changes to t - Fixed a `create_tree` keyword-argument mismatch in the Dreamer's surprisal tree construction (#749) - Providers that omit output-token counts (observed with Gemini on tool-loop completions) returned `output_tokens=None`, which raised a Pydantic validation error that aborted the call and crashed the Dreamer's induction phase before inductive conclusions were persisted. `None` is now coerced to `0` so token accounting degrades gracefully (#809) - Document creation now performs exact (case-insensitive, whitespace-trimmed) content deduplication before the existing semantic dedup step: exact duplicates within a batch collapse to a single insert, and an exact match against a live document reinforces it (atomic `times_derived` increment) instead of creating a new row (#861) + - The OpenAI backend passed `tool_choice` through raw while the Anthropic and Gemini backends translate Honcho's canonical vocabulary to their native form, so on a mixed-provider fallback chain (for example Gemini primary → OpenAI backup) a canonical `"any"` reached OpenAI unchanged and was rejected as an invalid param. The OpenAI backend now converts it, mirroring the others: `any`/`required` → `required`, `auto`/`none` pass through, and a tool-name string or `{"name": ...}` dict becomes a function selection (#850) + - Langfuse `@observe` auto-capture serialized every argument of `honcho_llm_call_inner` into the generation span input, including `client_override` (a live `AsyncOpenAI`/`genai` client) and `selected_config` (which carries `api_key`). Auto-capture deep-copied the client into a half-constructed object whose teardown raised (`AsyncHttpxClientWrapper ... no attribute '_state'` on OpenAI, flooding stderr; `BaseApiClient ... no attribute '_http_options'` on Gemini), and it leaked `ModelConfig.api_key` into traces. Capture is now an explicit allowlist: `capture_input`/`capture_output` are disabled and curated, serializable input and output are stamped instead, with tuning knobs surfaced as `model_parameters` via a secret-bearing denylist and per-call token usage mirrored as `usage_details` (#849) @@ -698,6 +747,12 @@ Welcome to the Honcho changelog! This section documents all notable changes to t [Python SDK](https://pypi.org/project/honcho-ai/) + + ### Added + + - `response_format` on `Peer.chat()` / `PeerAio.chat()` and `Peer.chat_stream()` / `PeerAio.chat_stream()`, for constraining a dialectic answer to a schema. Pass a Pydantic model class to get a validated instance back (parsed via `model_validate_json`), or a raw JSON Schema dict to get the JSON string as-is. Overloads type the return precisely, so a model class narrows to that model and a dict narrows to `str`. On the streaming variants, chunks stay raw text that accumulates to a JSON string — parse it after the stream completes. Requires a Honcho server with the matching API support (Honcho v3.0.12+). + - `response_format` field on `DialecticParams`. + ### Added @@ -860,6 +915,11 @@ Welcome to the Honcho changelog! This section documents all notable changes to t [TypeScript SDK](https://www.npmjs.com/package/@honcho-ai/sdk) + + ### Added + + - `responseFormat` option on `peer.chat()` and `peer.chatStream()`, for constraining a dialectic answer to a schema. Pass a Zod schema to get a parsed, validated result back, or a raw JSON Schema object to get the JSON string as-is. Overloads type the return precisely, so a Zod schema narrows to its inferred type and a plain object narrows to `string`. On `chatStream()`, chunks stay raw text that accumulates to a JSON string — parse it after the stream completes. Requires a Honcho server with the matching API support (Honcho v3.0.12+). + ### Added @@ -1048,6 +1108,34 @@ Welcome to the Honcho changelog! This section documents all notable changes to t - Simplified Honcho client import path + + [Honcho CLI](https://pypi.org/project/honcho-cli/) + + ### Added + + - Device-code OAuth login for managed Honcho servers. `honcho init` now offers browser-based login (RFC 8628 device authorization grant) when the host advertises the device grant in its OAuth authorization-server metadata; tokens are persisted to `~/.honcho/config.json` and auto-refreshed (#891) + - `HONCHO_CONFIG_DIR` environment variable for pointing the CLI at an alternate config directory (#891) + + ### Changed + + - An OAuth grant now records the host it was minted against and is ignored — neither used nor refreshed — when `base_url` points elsewhere, so a staging grant is never sent to production. A live OAuth token takes precedence over a stored `apiKey`, and a dead grant degrades to the saved key with a warning instead of aborting. Device login no longer deletes the shared `apiKey`, which sibling tools read from the same config file (#891) + + + ### Fixed + + - Declare `click` as an explicit dependency. The CLI imported `click` directly but relied on it being pulled in transitively, so installs without it on the path could fail at runtime (#787) + + + ### Added + + - Initial release of `honcho-cli` — a terminal for inspecting and managing a Honcho deployment (#424) + - `workspace`, `peer`, `session`, `message`, `conclusion`, and `config` command groups for managing resources against any Honcho server + - `init` onboarding flow that prompts for and persists connection settings, with flag/env-var pre-seeding for non-interactive use + - Per-command flags, environment variables, and a config file for pointing the CLI at different servers (local, self-hosted, or hosted) + - Rich terminal output and an agent-usage mode for scripting against the CLI + - Documentation and an agent skill for the CLI (#589) + + ## Getting Help diff --git a/docs/docs.json b/docs/docs.json index e5bb31e8..e3cf908d 100644 --- a/docs/docs.json +++ b/docs/docs.json @@ -24,7 +24,7 @@ "navigation": { "versions": [ { - "version": "v3.0.11", + "version": "v3.0.12", "api": { "openapi": ["v3/openapi.json"] }, diff --git a/honcho-cli/CHANGELOG.md b/honcho-cli/CHANGELOG.md index 3c2c383a..a334ef02 100644 --- a/honcho-cli/CHANGELOG.md +++ b/honcho-cli/CHANGELOG.md @@ -10,6 +10,11 @@ and this project adheres to [Semantic Versioning](http://semver.org/). ### Added - Device-code OAuth login for managed Honcho servers. `honcho init` now offers browser-based login (RFC 8628 device authorization grant) when the host advertises the device grant in its OAuth authorization-server metadata; tokens are persisted to `~/.honcho/config.json` and auto-refreshed (#891) +- `HONCHO_CONFIG_DIR` environment variable for pointing the CLI at an alternate config directory (#891) + +### Changed + +- An OAuth grant now records the host it was minted against and is ignored — neither used nor refreshed — when `base_url` points elsewhere, so a staging grant is never sent to production. A live OAuth token takes precedence over a stored `apiKey`, and a dead grant degrades to the saved key with a warning instead of aborting. Device login no longer deletes the shared `apiKey`, which sibling tools read from the same config file (#891) ## [0.1.1] - 2026-06-15 diff --git a/pyproject.toml b/pyproject.toml index 586f0c45..8acdcbce 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "honcho" -version = "3.0.11" +version = "3.0.12" description = "Honcho Server" authors = [ {name = "Plastic Labs", email = "hello@plasticlabs.ai"}, diff --git a/sdks/python/CHANGELOG.md b/sdks/python/CHANGELOG.md index 84843c55..751d9005 100644 --- a/sdks/python/CHANGELOG.md +++ b/sdks/python/CHANGELOG.md @@ -5,6 +5,13 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). +## [2.3.0] - 2026-08-10 + +### Added + +- `response_format` on `Peer.chat()` / `PeerAio.chat()` and `Peer.chat_stream()` / `PeerAio.chat_stream()`, for constraining a dialectic answer to a schema. Pass a Pydantic model class to get a validated instance back (parsed via `model_validate_json`), or a raw JSON Schema dict to get the JSON string as-is. Overloads type the return precisely, so a model class narrows to that model and a dict narrows to `str`. On the streaming variants, chunks stay raw text that accumulates to a JSON string — parse it after the stream completes. Requires a Honcho server with the matching API support (Honcho v3.0.12+). +- `response_format` field on `DialecticParams`. + ## [2.2.0] - 2026-07-02 ### Added diff --git a/sdks/python/pyproject.toml b/sdks/python/pyproject.toml index 6fe801ff..f2d30457 100644 --- a/sdks/python/pyproject.toml +++ b/sdks/python/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "honcho-ai" -version = "2.2.0" +version = "2.3.0" description = "Official DX Optimized Python SDK for Honcho" dynamic = ["readme"] license = "Apache-2.0" diff --git a/sdks/typescript/CHANGELOG.md b/sdks/typescript/CHANGELOG.md index 179cca72..8d0e5ec1 100644 --- a/sdks/typescript/CHANGELOG.md +++ b/sdks/typescript/CHANGELOG.md @@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). +## [2.3.0] - 2026-08-10 + +### Added + +- `responseFormat` option on `peer.chat()` and `peer.chatStream()`, for constraining a dialectic answer to a schema. Pass a Zod schema to get a parsed, validated result back, or a raw JSON Schema object to get the JSON string as-is. Overloads type the return precisely, so a Zod schema narrows to its inferred type and a plain object narrows to `string`. On `chatStream()`, chunks stay raw text that accumulates to a JSON string — parse it after the stream completes. Requires a Honcho server with the matching API support (Honcho v3.0.12+). + ## [2.2.0] - 2026-07-02 ### Added diff --git a/sdks/typescript/package.json b/sdks/typescript/package.json index 9819ddf9..7db0696c 100644 --- a/sdks/typescript/package.json +++ b/sdks/typescript/package.json @@ -1,6 +1,6 @@ { "name": "@honcho-ai/sdk", - "version": "2.2.0", + "version": "2.3.0", "description": "Official DX Optimized TypeScript SDK for Honcho", "author": "Plastic Labs ", "license": "Apache-2.0", diff --git a/uv.lock b/uv.lock index ffaa6255..61c5dbc9 100644 --- a/uv.lock +++ b/uv.lock @@ -8,7 +8,7 @@ resolution-markers = [ ] [options] -exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values. +exclude-newer = "2026-08-05T17:35:29.589887Z" exclude-newer-span = "P5D" [manifest] @@ -1159,7 +1159,7 @@ wheels = [ [[package]] name = "honcho" -version = "3.0.11" +version = "3.0.12" source = { virtual = "." } dependencies = [ { name = "alembic" }, @@ -1270,7 +1270,7 @@ dev = [ [[package]] name = "honcho-ai" -version = "2.2.0" +version = "2.3.0" source = { editable = "sdks/python" } dependencies = [ { name = "httpx" },