* feat: add audit log for feature usage tracking
Add full auditability for all mutating and core API operations across
HTTP, MCP, and system (worker) transports. Audit entries record raw
request/response as JSONB, timing (started_at/ended_at), action, and
transport type.
Backend:
- New audit_log table with JSONB columns for expandability without
future migrations (merge migration of 3 existing heads)
- AuditLogger with fire-and-forget writes via asyncio.create_task
- @audited decorator on 28 HTTP route handlers
- MCP tool audit wrapping for 16 auditable tools
- Worker task execution wrapped with audit_context
- List endpoint with action, transport, date range filters + pagination
- Stats endpoint with per-day counts for charting
- Configurable retention sweep (concurrent-safe DELETE)
Config (env-only, static):
- HINDSIGHT_API_AUDIT_LOG_ENABLED (default: false)
- HINDSIGHT_API_AUDIT_LOG_ACTIONS (comma-separated allowlist, empty=all)
- HINDSIGHT_API_AUDIT_LOG_RETENTION_DAYS (default: -1, keep forever)
Control Plane:
- New "Audit Logs" tab on bank configuration page
- Line chart showing request volume (today/7d/30d) with action filter
- Filterable table with action, transport, date range filters
- Paginated list with detail dialog showing raw request/response JSON
Tests:
- 13 tests covering list, filters, pagination, stats, disabled mode,
action allowlist, and ordering
* fix: split 3-way merge migration into two 2-way merges
Alembic doesn't support 3-parent merge migrations. Split into a no-op
merge of 2 heads (b1c2d3e4f5g6) followed by the audit_log table
migration merging the third head.
* fix: correct merge migration to merge actual 2 heads
The original analysis incorrectly identified 3 heads. There were only 2
(a3b4c5d6e7f8 and c8e5f2a3b4d1). Remove the unnecessary intermediate
merge migration and fix the audit_log migration to merge these 2 heads.
* fix: use 'heads' instead of 'head' in migration runner
Alembic's upgrade('head') fails when multiple heads exist (e.g. from
namespace package overlaps between hindsight-api and hindsight-api-slim).
Using 'heads' (plural) handles this gracefully by upgrading all branches.
* chore: regenerate OpenAPI spec with audit log endpoints
* chore: regenerate TypeScript client and docs skill OpenAPI spec
Python and Go clients still need regeneration (requires Docker).
* chore: regenerate all client SDKs (Python, Go, TypeScript)
Adds generated audit log API clients for Python (audit_api.py),
Go (api_audit.go), and TypeScript client type updates.
* docs: add Volcano Engine as supported LLM provider
Follow-up to #714. Add Volcano Engine (ByteDance) to the documentation:
- LLM providers grid component
- Provider list in configuration docs
- Provider example with base URL and default model
- Default model table in models page
* chore: regenerate docs skill references
* feat(openclaw): add recallInjectionPosition config to preserve prompt cache
Add configurable injection position for recalled memories to avoid
breaking prefix-based prompt caching (Anthropic/Google) when agents
have large static system prompts.
Options: 'prepend' (default, current behavior), 'append' (end of
system prompt, preserves cache), 'user' (before user message).
Closes#703
* docs(openclaw): document all plugin config flags
Add missing config options to the OpenClaw docs: recallTopK,
recallTypes, recallContextTurns, recallMaxQueryChars,
recallPromptPreamble, recallInjectionPosition, recallRoles,
retainEveryNTurns, retainOverlapTurns, and debug.
* docs(claude-code): tidy configuration reference and sync README
Add missing settings (retainMode, retainToolCalls, retainTags,
retainMetadata, embedPackagePath, llmApiKeyEnv, agentName, and
several recall options) that existed in code but not in docs.
Restructure config tables with prose introductions, clearer
descriptions, and consistent layout across both files.
* refactor(claude-code): remove recallTopK setting
Unused client-side cap — Hindsight server already controls result
count via recallBudget and recallMaxTokens.
* docs: add supported platforms section and Windows installation guide
Adds a platform compatibility table (Linux, macOS, Windows) and a
dedicated Windows setup section with step-by-step instructions for
installing PostgreSQL + pgvector and running Hindsight natively.
Follows up on #699 which added Windows native support.
Also fixes a ty type-check error in metrics.py for the conditional
resource module import.
* chore: sync generated clients and lock file after #699
Regenerate client SDKs to pick up ValidationError model changes
and update uv.lock with platform-specific uvloop/winloop deps.
* docs: update Windows section — pg0 now supports Windows
pg0 v0.12.0 added Windows support, so embedded DB works everywhere.
Restructure Windows section to show simple install-and-run first,
with external PostgreSQL as an optional alternative.
* chore: sync generated docs skill and openapi references
FastAPI generates the ValidationError schema with only loc, msg, and
type, but Pydantic v2 actually returns input, ctx, and url as well.
Generated clients with strict JSON decoding (Go's DisallowUnknownFields)
cannot parse real 422 responses — the actual validation message gets
replaced by a confusing JSON decoding error.
- Patch the OpenAPI schema in create_app() to add input, ctx, url
- Regenerate spec and Go client
Adds a proper 'none' provider option so users can run Hindsight as a
chunk store with semantic search but without any LLM dependency, replacing
the hacky workaround of setting provider to 'mock'.
When HINDSIGHT_API_LLM_PROVIDER=none:
- Retain automatically uses chunks mode (no fact extraction)
- Recall works normally (semantic search, BM25, graph retrieval)
- Reflect returns HTTP 400 with clear error message
- Consolidation/observations are disabled
- Mental model refresh returns HTTP 400
- No API key required
* feat(reflect): make source facts in search_observations configurable
The recent fix (#669) hardcoded include_source_facts=False in
search_observations to prevent context overflow. This makes it
configurable via HINDSIGHT_API_REFLECT_SOURCE_FACTS_MAX_TOKENS
(env/tenant/bank), defaulting to -1 (disabled).
- -1: source facts disabled (current behavior, default)
- 0: source facts enabled with no token limit
- >0: source facts enabled with a token budget
* docs: add reflect_source_facts_max_tokens to configuration reference
* fix: update configurable fields count in tests and regenerate docs skill
* feat(hermes): file-based config + updated docs
Replace the old dataclass/configure() singleton with a plain dict
config loaded from ~/.hindsight/hermes.json — same field names and
conventions as the openclaw and claude-code integrations.
Loading order: defaults → config file → env var overrides.
- config.py: rewritten with load_config() returning a plain dict,
DEFAULTS matching openclaw/claude-code fields, ENV_OVERRIDES with
typed casting
- tools.py: register() uses load_config() instead of raw env vars
- __init__.py: clean exports (removed configure/get_config/reset_config)
- README.md: full rewrite with config file examples, tables by category
- docs/hermes.md: full rewrite with quick start, architecture, all
config tables, gateway section, troubleshooting
- tests: updated for new config pattern, 46 tests pass
* ci: add test job for hermes integration
* chore: regenerate docs skill for hermes integration
* feat: add LiteLLM LLM provider for Bedrock and 100+ providers
Add a new `litellm` LLM provider that uses the LiteLLM SDK for chat
completions and tool calling, enabling AWS Bedrock and 100+ other
providers for Hindsight's core engine (retain, recall, reflect).
- New LiteLLMLLM provider in engine/providers/litellm_llm.py
- Registered in factory, valid providers list, and no-api-key set
- Refactored API key validation to use requires_api_key() helper
- Added boto3 dependency for Bedrock auth
- Updated docs: configuration, models, monitoring, providers grid
* feat: add bedrock as first-class LLM provider alias
Add `bedrock` as a dedicated provider name that auto-prepends the
`bedrock/` prefix to model names and delegates to LiteLLMLLM under
the hood. This makes Bedrock support more discoverable — users set
`HINDSIGHT_API_LLM_PROVIDER=bedrock` with plain Bedrock model IDs.
* test: add Bedrock to CI provider tests
- Add bedrock/us.amazon.nova-lite-v1:0 to MODEL_MATRIX in test_llm_provider.py
- Add AWS credential check in should_skip_provider()
- Pass AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION_NAME secrets to test-api job
- Update default bedrock model to amazon.nova-2-lite-v1:0
* fix: regenerate docs skill files and bump memory test timeout
- Regenerate skills/hindsight-docs references after docs changes
- Bump test_llm_provider_memory_operations timeout to 600s for slower
providers like Bedrock via LiteLLM
* test: skip bedrock lite models in memory operations test
Nova Lite has a 10K output token limit which is too low for fact
extraction (requires 64K). The api_methods test (completion, tools,
structured output) already validates the provider works correctly.
* test: use Nova Pro for bedrock CI tests to cover full memory pipeline
Nova Lite only supports 10K output tokens, too low for fact extraction.
Switch to Nova Pro which supports the full 64K output needed for
retain/reflect operations. This ensures bedrock is tested on all
Hindsight functionalities, not just basic API methods.
* test: switch bedrock CI to Nova 2 Lite (supports 64K output tokens)
Nova v1 models (Pro, Lite) have a 10K output token limit which is
too low for fact extraction. Nova 2 Lite supports 64K+ output tokens,
enabling full memory pipeline testing (retain + reflect).
* Add blog post: Adding Long-Term Memory to LangGraph and LangChain Agents
* blog: update langgraph post date to 2026-03-24 and add cover image
* blog: fix claude-code-telegram filename to match frontmatter date (2026-03-25)
* blog: set claude-code-telegram date to 2026-03-23
* blog: fix date timezone offset by adding T12:00 to all post dates
* ci: trigger fresh CI run
* blog: fix broken docs link (routeBasePath is /)
* feat: add Strands Agents SDK integration with Hindsight memory tools
* fix: add strands docs to versioned docs so build link check passes
* fix(strands): run hindsight client calls in thread pool to avoid event loop conflict with Strands
* feat(openclaw): remove hardcoded default models, rely on Hindsight API defaults
* feat(claude-code): remove hardcoded default models, rely on Hindsight API defaults
* feat(claude-code,docs): remove hardcoded default models from claude-code integration and docs
* feat: use claude-haiku-4-5 as default Anthropic model
* docs: add 0.4.20 release blog post and changelog
Add release notes blog post covering Claude Code integration, LangGraph
integration, NemoClaw integration, independent integration versioning,
and reflect improvements. Auto-generated changelog entry included.
* docs: add 0.4.20 release blog cover image
* doc: add Claude Code + Telegram + Hindsight blog post
* doc: add fabioscarsi to blog authors
* doc: update fabioscarsi title to Contributor
* doc: remove horizontal rule dividers from blog post
* doc: update cover image and add image frontmatter for claude-code-telegram blog post
* doc: remove horizontal rule dividers
* doc: align Hindsight setup steps with PR #661 README
* fix: move marketplace.json to repo root and update source path
* doc: add Claude Code integration page, sidebar, and integrations hub entry
* doc: update versioned docs to 0.4.19
---------
Co-authored-by: Ben <ben.bartholomew@vectorize.io>
Rename hindsight-openclaw-pro → HindClaw and update description to
reflect the current architecture: server-side Hindsight extensions
(hindclaw-extension on PyPI), Terraform provider for infrastructure
management, and the hindclaw-openclaw gateway plugin.
Link points to https://github.com/mrkhachaturov/hindclaw.
* docs(blog): add NemoClaw persistent memory blog post
Covers external API mode, OpenShell network egress policy pattern,
and the LaunchAgent symlink gotcha from the live test run.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* docs(blog): update NemoClaw blog post with SEO-optimized draft
- Add slug, TL;DR, pitfalls, tradeoffs table, recap, next steps sections
- Restructure into numbered implementation steps
- Remove internal blog links that don't exist yet
* docs(blog): fix docs link to include /recall/ path
* docs(blog): add correct internal links to NemoClaw blog post
* docs(blog): make hindsight-nemoclaw setup command the primary path
One-command setup is now the default; manual 4-step process moved to
'Manual Alternative' section for reference.
* docs(blog): update title to lead with NemoClaw and best-in-class memory
* Add cover image to NemoClaw memory blog post
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: add LangGraph integration with tools, nodes, and store patterns
Add hindsight-langgraph SDK providing three integration patterns:
- Tools: retain/recall/reflect as LangChain tools for ReAct agents
- Nodes: automatic memory injection and storage as graph steps
- Store: LangGraph BaseStore implementation for checkpoint-based memory
Fix: remove `from __future__ import annotations` in nodes.py which
prevented LangGraph from passing RunnableConfig to node functions
(runtime type inspection saw string annotations instead of actual types).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: register langgraph with independent versioning system
- Set version to 0.1.0 (integrations are versioned independently)
- Add langgraph to VALID_INTEGRATIONS in release-integration.sh
- Add changelog page for langgraph integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove manual cookbook recipe page
The sync-cookbook script will auto-generate this from the notebook
in hindsight-cookbook once PR #17 is merged.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: comprehensive improvements to langgraph integration
Code fixes:
- Retain node only stores latest messages instead of all history (prevents duplicates)
- Handle multimodal msg.content (list type) in nodes
- Fix store docstring separator "/" → "."
- Apply search filters before pagination in store
- Add ttl parameter to store.aput for LangGraph BaseStore compat
- Fix _ensure_bank to not cache failed bank creations
- Fix falsy value bugs (or → is not None) in tools
- Remove from __future__ import annotations from all files
- Consistent default budget="mid" across tools/nodes/store
- Bump langgraph floor to >=0.3.0, remove duplicate dev deps
Docs fixes:
- Fix broken Cloud client example (base_url is required)
- Complete API reference tables with all parameters
- Add Limitations and Notes section (async-only store, etc.)
- Add Requirements section
- Fix broken cookbook link and Cloud claim in blog post
All 61 unit tests pass. E2E tested against Hindsight Cloud:
tools, nodes, store, configure(), multimodal content.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove blog post (lives in hindsight-marketing-content)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove Hindsight Cloud section from langgraph docs
Keep OSS docs self-hosted-first, consistent with other integration
docs (crewai, pydantic-ai, agno). Cloud setup details live in the
cookbook notebooks.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: explicitly mention LangChain compatibility in langgraph integration
The tools pattern (create_hindsight_tools) only depends on
langchain-core and works with plain LangChain via bind_tools() —
no LangGraph required. Update docs to make this clear with both
LangGraph and LangChain quick start examples.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address PR review findings
1. Guard manual test files with if __name__ == "__main__" so pytest
doesn't collect and execute them during test runs
2. Remove semantic fallback in HindsightStore.aget() — only return
exact document_id matches, not unrelated semantic search hits
3. Make langgraph an optional dependency — tools pattern only needs
langchain-core. Install with pip install hindsight-langgraph[langgraph]
for nodes and store patterns. Lazy imports with clear error messages.
4. Clean up README to be self-hosted-first, consistent with other
integration docs
5. Update docs requirements section to reflect optional langgraph dep
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address PR review feedback for langgraph integration
- Fix#2: Add per-bank asyncio.Lock to _ensure_bank for concurrency safety
- Fix#3: Clamp search score to max(0.0, ...) to prevent negative values
- Fix#4: Implement suffix matching in _handle_list_namespaces
- Fix#5: Truncate namespaces to max_depth instead of filtering (per BaseStore contract)
- Fix#6: Remove list_namespaces/alist_namespaces overrides — let base class handle prefix=/suffix= kwargs
- Fix#7: Document ephemeral namespace tracking and get() limitations in class docstring
- Fix#8: Add stable ID to recall node SystemMessage, document ordering behavior
- Fix#9: Change budget/max_tokens/recall_tags_match defaults to None so global config fallback works
- Fix#10: Conditionally populate __all__ so import * works without langgraph installed
- Fix#11: Bump langgraph lower bound from >=0.3.0 to >=0.5.0
- Fix#12: Extract _resolve_client to shared _client.py module
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address remaining review gaps for langgraph integration
- Add output_key parameter to create_recall_node for prompt ordering control
- Add prefix/suffix/combined filter tests for list_namespaces
- Add output_key unit tests (memory text, none on empty, none on error)
- Remove unused imports and backward-compat alias in tools.py
- Update docs with output_key usage example and API reference
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: relax langgraph version constraint to >=0.3.0
Research confirmed all required APIs (BaseStore, SearchItem, Result,
GetOp, PutOp, SearchOp, ListNamespacesOp) are available since
langgraph-checkpoint 2.0.7, which maps to langgraph >=0.2.63.
Using >=0.3.0 as a clean semver boundary — >=0.5.0 was unnecessarily
conservative and excluded many compatible versions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add fact_types and mental model exclusion filters to reflect and mental models
Adds three new filtering options to both the reflect endpoint and mental model creation/refresh:
- `fact_types`: restrict which fact types (world, experience, observation) are retrieved.
Disables irrelevant agent tools entirely (no wasted tokens).
- `exclude_mental_models`: skip the search_mental_models tool altogether.
- `exclude_mental_model_ids`: exclude specific mental models by ID (merged with the
existing self-exclusion logic during mental model refresh).
For mental models, options are persisted in the existing `trigger` JSONB column so they
are automatically applied on every refresh. The `UpdateMentalModelRequest` already
proxies `trigger`, so no extra endpoint changes are needed.
Also fixes the test fixture (`pg0_db_url` in conftest.py) to correctly resolve pg0://
URLs and run migrations before tests, which was causing all DB-dependent tests to fail
with "relation public.banks does not exist" when HINDSIGHT_API_DATABASE_URL=pg0://uuuu.
* fix: guard against disabled-tool hallucination and regenerate clients
- Add enabled_tools guard in reflect agent: if an LLM calls a tool that
was excluded (e.g. recall when fact_types=["observation"]), return an
error result instead of executing it
- Regenerate OpenAPI spec and all SDK clients (Go, Python, TypeScript)
to include new fact_types / exclude_mental_models fields
* fix: add missing ReflectRequest fields in Rust CLI struct initializers
* fix: filter hallucinated tool calls before trace to prevent disabled tools appearing in results
* chore: merge main, fix lint formatting and update skills openapi.json
* feat: expose fact_types, exclude_mental_models, exclude_mental_model_ids in control plane UI
* fix: add missing trigger fields to MentalModel type in control plane api.ts
* fix: add missing trigger fields to local MentalModel interface in mental-models-view
* feat: tabbed mental model dialogs (Basic / Options tabs)
* refactor: shared FactTypeFilter component, tabbed mental model dialogs use General tab, clean up labels
* feat: pill-style toggle buttons for fact type filter (blue/emerald/amber per type)
* fix: add spacing between Fact Types label and pills, rename to Exclude all mental models
- Add IntegrationsBanner component with infinite left-to-right CSS scroll animation showing all clients, integrations, and LLM providers
- Place banner below the navbar on every page via Navbar theme wrapper
- Add Agno and Hermes to both the IntegrationsGrid and the banner
- Remove right border from doc sidebar via custom.css
* feat: independent versioning for integrations
- Add per-integration changelog pages at /changelog/integrations/<name>
- Move main changelog to changelog/index.md (URL unchanged)
- Add --integration flag to generate-changelog for LLM-based per-integration changelog generation
- Add scripts/release-integration.sh <name> <version> for cutting integration releases
- Add .github/workflows/release-integration.yml to publish on integrations/** tags
- Remove integrations from main release.sh and release.yml cycle
* fix: add agno and hermes integration docs to version-0.4 for production build
* chore: apply ruff formatting to generate_changelog.py
* feat: add 4-tab code parity across all documentation examples
Every code snippet Tabs block now has Python, Node.js, CLI, and Go variants.
Raw HTTP/curl tabs replaced with proper SDK calls.
New example files:
- Go: retain.go, recall.go, reflect.go, memory-banks.go, directives.go,
mental-models.go, documents.go, main-methods.go
- Shell: memory-banks.sh, directives.sh, mental-models.sh
- Node.js: mental-models.mjs
Extended example files with missing sections:
- recall.mjs/sh: world/experience/observation types, token-budget, all tag modes
- reflect.sh: reflect-with-params, reflect-disposition, reflect-sources, reflect-with-tags
- reflect.mjs: reflect-with-tags, fixed reflect-sources API usage
- retain.mjs/sh: retain-conversation, retain-batch, retain-files-batch
SDK/CLI additions:
- TypeScript: getMentalModelHistory method
- CLI recall: --tags, --tags-match flags
- CLI reflect: --tags, --tags-match, --include-facts flags
- CLI directive update: --is-active flag
- CLI bank set-config: --retain-mission, --retain-extraction-mode,
--observations-mission, --reflect-mission, --disposition-* flags
Build validation:
- scripts/check-code-parity.mjs validates 4-tab parity across all MDX files
- Integrated into npm run build — fails if any Tabs block is missing a variant
* fix: fix doc examples for Go, Node.js, CLI + add mental model with-id examples
- Fix Go Budget constants: BUDGET_HIGH/LOW/MID → HIGH/LOW/MID
- Fix Go documents.go: ListDocuments returns []map[string]interface{}, use map access
- Fix Go retain.go: use correct relative path for sample.pdf
- Fix Node.js createMentalModel: use positional args (name, sourceQuery) not object
- Add CLI 'history' subcommand for mental models (api.rs, main.rs, mental_model.rs)
- Rebuild TypeScript/Python clients to support id param in createMentalModel
- Add create-mental-model-with-id examples across all 4 languages and docs
* fix: move id param to end of create_mental_model signature for backwards compat
* feat: independent versioning for integrations
- Add per-integration changelog pages at /changelog/integrations/<name>
- Move main changelog to changelog/index.md (URL unchanged)
- Add --integration flag to generate-changelog for LLM-based per-integration changelog generation
- Add scripts/release-integration.sh <name> <version> for cutting integration releases
- Add .github/workflows/release-integration.yml to publish on integrations/** tags
- Remove integrations from main release.sh and release.yml cycle
* fix: add agno and hermes integration docs to version-0.4 for production build
* chore: apply ruff formatting to generate_changelog.py
* feat: upgrade MiniMax default model from M2.5 to M2.7
MiniMax has released MiniMax-M2.7, their latest model with a 1M context
window (up from 204K). This updates the default model across config,
docs, and examples. M2.5 remains fully compatible for users who prefer it.
- Update PROVIDER_DEFAULT_MODELS to MiniMax-M2.7
- Update .env.example and documentation references
- Add test_minimax_provider.py with M2.7 and backward compat tests
* chore: remove test file per review feedback
---------
Co-authored-by: PR Bot <pr-bot@minimaxi.com>
* feat(typescript-client): add Deno compatibility
- Switch build from tsc to tsup for dual CJS + ESM output with proper exports field
- Add deno_setup.ts preload that injects Jest-compatible globals (describe/test/expect) via @std/testing/bdd and @std/expect
- Fix generated client.gen.ts: exclude hey-api internal `client` field from RequestInit spread to avoid conflict with Deno.HttpClient
- Add test:deno npm script using --unstable-sloppy-imports and --preload
- Add test-typescript-client-deno CI job using denoland/setup-deno@v2 (v2.x)
- Update docs: rename page to TypeScript / JavaScript Client, add Deno installation section
* feat: add Deno compatibility to ai-sdk and chat integrations
- Switch ai-sdk and chat builds from tsc to tsup (ESM bundle, eliminates
extension-less import issues in Deno)
- Add deno.json import map to ai-sdk redirecting 'vitest' to a custom
vitest-compat.ts shim and bare npm specifiers to npm: URLs
- Add vitest-compat.ts shim implementing vi.fn()/vi.spyOn()/vi.mocked()
using @std/expect's Symbol.for("@MOCK") interface so toHaveBeenCalledWith
and other mock matchers work under Deno
- Add test:deno script to ai-sdk (all 30 tests pass under Deno)
* ci: add Deno test job for ai-sdk integration
Adds a new test-ai-sdk-integration-deno CI job that runs the ai-sdk
unit tests under Deno LTS, verifying Deno compatibility of the package.
* fix: remove broken link to non-existent n8n blog post in streamlit post
* fix: patch client.gen.ts for Deno compatibility during generation
Add a post-generation patch step to generate-clients.sh that removes
the hey-api internal 'client' field from the RequestInit spread in
client.gen.ts. Deno's Request constructor rejects 'client' because it
conflicts with the Deno.HttpClient option name.
* feat: add Agno integration with Hindsight memory toolkit
Add hindsight-agno package providing Hindsight memory tools (retain,
recall, reflect) as an Agno Toolkit, following the same pattern as
Agno's Mem0Tools. Includes per-user bank isolation, global config,
bank auto-creation, and memory_instructions() for system prompt
injection.
Also adds cookbook documentation page with architecture diagrams,
quick start examples, and configuration reference.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove n8n blog post, add Agno icon, bind to release process
- Remove n8n blog post from the agno integration branch
- Add Agno logo icon and map hindsight-agno SDK tag in CookbookGrid
- Add hindsight-agno to release.sh PYTHON_PACKAGES array
- Add build, publish, artifact upload, and release asset steps in release.yml
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove cookbook page (moved to hindsight-cookbook repo)
The Agno cookbook application now lives in
vectorize-io/hindsight-cookbook/applications/agno-memory.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix: prevent silent memory loss on consolidation LLM failure
When all LLM retries are exhausted during consolidation, memories were
being marked consolidated_at unconditionally, permanently excluding them
from future consolidation runs without producing any observations.
Fix with two complementary mechanisms:
- Adaptive batch splitting: on LLM failure, the batch is halved and
retried recursively down to batch_size=1, recovering most transient
failures (rate limits, Pydantic validation on long prompts) without
operator intervention
- consolidation_failed_at column: only single-memory batches that still
fail after all retries are marked here instead of consolidated_at, so
they remain visible and retryable
- New API endpoint POST /v1/default/banks/{bank_id}/consolidation/retry-failed
resets these memories for the next consolidation run
* chore: regenerate OpenAPI spec
* fix: rename consolidation endpoint from /retry-failed to /recover
* fix: add consolidation_failed_at column, adaptive batch splitting, and recovery API
- Migration a3b4c5d6e7f8: add consolidation_failed_at TIMESTAMPTZ column to
memory_units with an index for efficient failure queries; properly chains off
g7h8i9j0k1l2 (backsweep_orphan_observations)
- Consolidator: filter pending memories with consolidation_failed_at IS NULL
so failed memories are not re-fetched in an infinite loop
- Consolidator: adaptive batch splitting — when a batch exhausts all 3 LLM
retries, halve it and retry sub-batches recursively; only single-memory
batches that also exhaust all retries get consolidation_failed_at set
- New tests (9 total) covering: adaptive splitting recovers all memories,
larger batch splitting, single-memory permanent failure, exclusion from
next run, partial batch failure, recover resets columns, recover returns
0 when none failed, recover-then-consolidate succeeds, HTTP endpoint
* chore: regenerate Go, Python, TypeScript clients with recover consolidation endpoint
* feat: add Recover Consolidation action to bank Actions dropdown
* style: apply ruff formatting to http.py and config.py
* fix: handle consolidation scope in large batch test mock LLM
The mock LLM was returning {"facts": ...} for ALL calls including consolidation.
Consolidation doesn't use skip_validation=True so it expects a _ConsolidationBatchResponse
instance, not a raw dict. Before this PR consolidation silently swallowed the AttributeError
(failed=False was returned); now failed=True triggers adaptive splitting and timeouts.
Fix: return _ConsolidationBatchResponse() when scope=="consolidation".
* fix: restrict claude-agent-sdk to macOS platform only (no Linux wheel available)
Also fix pre-existing type errors: use setattr for XLM-RoBERTa monkey-patch
and add missing reranker_local_fp16/bucket_batching/batch_size fields to main.py config constructor.
* fix: add UV_INDEX_STRATEGY=unsafe-best-match to fix markupsafe cp314 wheel conflict
PyTorch CPU index serves markupsafe==3.0.3 with only cp314 wheels.
uv's default first-index strategy stops at the first index with any version
even if no compatible wheel exists. unsafe-best-match searches all indices
for the best compatible wheel, falling back to PyPI for markupsafe.
* fix: use explicit pytorch index to prevent markupsafe wheel conflict
Configure the pytorch CPU index as explicit=true in pyproject.toml so it is
ONLY used for torch (via [tool.uv.sources]). All other packages (including
markupsafe) are resolved exclusively from PyPI, preventing the pytorch index
from serving incompatible cp314-only wheels for non-pytorch packages.
Remove UV_INDEX and UV_INDEX_STRATEGY from CI workflow (no longer needed
since the index is now configured in pyproject.toml).
* ci: trigger CI run
* ci: retry trigger
* ci: trigger after remote URL fix
* ci: add workflow_dispatch to unblock manual trigger
* fix: remove empty env blocks left after UV_INDEX removal
* fix: add type: ignore for optional claude_agent_sdk imports (macOS-only)
* fix: correct type: ignore rules for claude_agent_sdk and fix utcnow deprecation
