* feat: add comprehensive OpenTelemetry tracing
- Add tool execution spans for reflect operations
- Add tool call information (names, params) to spans
- Change verification scope from 'test' to 'verification'
- Add hindsight.reflect_generation span for done() processing
- Implement no-op tracer for improved code readability
- Update documentation for OTEL configuration
- Resolve merge conflicts from rebase
* fix: properly serialize Pydantic models in span recording
- Add _serialize_for_span() helper to handle Pydantic models
- Update all providers to use the helper function
- Fixes test failures with 'Object of type X is not JSON serializable'
* feat: add Grafana LGTM stack for unified local observability
Add Grafana LGTM (Loki, Grafana, Tempo, Mimir) as the recommended
local development observability stack. This provides traces, metrics,
and logs in a single Docker container instead of separate tools.
Changes:
- Add scripts/dev/grafana/ with docker-compose and README
- Add scripts/dev/start-grafana.sh startup script
- Update .env.example to reference Grafana LGTM
- Update configuration docs to emphasize Grafana LGTM as primary option
- Reorder OTLP backend list to show Grafana LGTM first
Benefits:
- Single container vs multiple separate tools (Jaeger, SigNoz, etc.)
- ~515MB image with full observability stack
- Compatible with existing OTLP configuration
- Simpler local development setup
* chore: remove SigNoz scripts and references
Remove SigNoz observability stack in favor of Grafana LGTM as the
sole recommended local development tracing solution.
Changes:
- Delete scripts/dev/signoz/ directory and all SigNoz configurations
- Delete scripts/dev/start-signoz.sh startup script
- Remove SigNoz references from .env.example
- Remove SigNoz from OTLP backends list in configuration docs
Grafana LGTM provides the same capabilities (traces, metrics, logs)
in a simpler single-container setup.
* feat: add consolidation span hierarchy for tracing
Add parent-child span structure for consolidation operations:
- hindsight.consolidation: Parent span for each memory being processed
- hindsight.consolidation_recall: Child span for finding related observations
- LLM call span: Automatically created by LLM provider (scope="consolidation")
This enables detailed timing breakdown in Grafana Tempo:
- Total consolidation time per memory
- Time spent in recall
- Time spent in LLM call
- Time spent executing actions (create/update)
All consolidation tests pass (31/31).
* feat: add Prometheus metrics and GenAI dashboard to Grafana stack
Add comprehensive metrics and dashboarding to the Grafana LGTM stack:
Metrics Collection:
- Configure Prometheus to scrape Hindsight API /metrics endpoint
- Scrape interval: 10 seconds
- Targets hindsight-api on host.docker.internal:8888
GenAI Dashboard:
- Pre-configured dashboard with 6 panels:
- LLM call rate (by provider/model)
- LLM call duration (p50/p95 by scope)
- Token usage - input tokens/sec by scope
- Token usage - output tokens/sec by scope
- Operations rate (retain/recall/reflect/consolidation)
- Operation duration p95 by operation type
Configuration:
- Mount prometheus.yml for metrics scraping
- Mount dashboards directory for auto-provisioning
- Add host.docker.internal mapping for container->host access
- Dashboard provisioning with auto-reload every 10s
Documentation:
- Updated README with metrics viewing instructions
- Added PromQL query examples
- Documented dashboard access and navigation
This provides full observability: traces (Tempo) + metrics (Prometheus/Mimir) + dashboards (Grafana)
* refactor: merge Grafana setup into existing monitoring stack
Consolidate the separate scripts/dev/grafana/ setup into the existing
scripts/dev/monitoring/ stack, using Grafana LGTM (Loki, Grafana, Tempo, Mimir).
Changes:
- Remove separate scripts/dev/grafana/ directory and start-grafana.sh
- Rewrite scripts/dev/monitoring/start.sh to use Docker + Grafana LGTM
(was: download native Prometheus/Grafana binaries)
- Add docker-compose.yaml for Grafana LGTM container
- Add prometheus.yml for scraping Hindsight API metrics
- Mount existing dashboards from monitoring/grafana/dashboards/
- Add comprehensive README.md
Benefits:
- Single unified monitoring command: ./scripts/dev/start-monitoring.sh
- Uses existing dashboard files (hindsight-operations, hindsight-llm, hindsight-api-service)
- Simpler setup: Docker-based vs downloading/running native binaries
- Full observability: traces + metrics + logs + dashboards in one container
- Standard ports: Grafana on 3000, OTLP on 4317/4318
Architecture:
- Grafana LGTM container (~515MB) provides all components
- Dashboards auto-provisioned from monitoring/grafana/dashboards/
- Prometheus scrapes host.docker.internal:8888/metrics
- Shared hindsight-network for future service-to-service tracing
* fix: run monitoring stack in foreground for easy Ctrl+C stop
Change docker-compose from detached (-d) to foreground mode.
Users can now stop the stack with Ctrl+C instead of needing
to run docker-compose down separately.
* fix: remove invalid home dashboard path and obsolete version field
- Remove GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH environment variable
(was pointing to wrong path causing 'Failed to load home dashboard' error)
- Remove obsolete 'version' field from docker-compose.yaml
(docker-compose v2+ doesn't require version field)
* fix: load Hindsight dashboards in Grafana LGTM
Mount Hindsight dashboard JSON files and custom provisioning config
to make dashboards visible in Grafana.
Changes:
- Mount hindsight-operations.json, hindsight-llm.json, hindsight-api-service.json to /otel-lgtm/
- Create grafana-dashboards.yaml with all dashboard providers (default + Hindsight)
- Mount custom provisioning config to override LGTM default
All 3 Hindsight dashboards now appear in Grafana UI with metrics
from Prometheus scraping the Hindsight API /metrics endpoint.
* fix: configure Prometheus to scrape Hindsight API metrics
Update prometheus.yml to include both OTLP receiver config (from LGTM)
and scrape_configs for pulling metrics from Hindsight API.
Changes:
- Mount prometheus.yml to /otel-lgtm/prometheus.yaml (where LGTM reads it)
- Add scrape_configs section to pull from host.docker.internal:8888/metrics
- Keep OTLP receiver configuration for trace metrics
- Set scrape_interval to 5s
Verified: Prometheus now successfully scrapes hindsight_llm_calls_total
and other Hindsight metrics. Dashboards now show live data!
* feat: add comprehensive tracing for recall and improve reflect/mental_model_refresh spans
- Add recall operation tracing with parent-child span hierarchy
- Parent: hindsight.recall with attributes (bank_id, query, fact_types, etc.)
- Children: recall_embedding, recall_retrieval, recall_fusion, recall_rerank
- Fixed context propagation using start_as_current_span()
- Improve reflect tracing spans
- Remove reflect_generation spans, use reflect instead
- Change done() tool processing to hindsight.reflect_tool_call
- Fix mental_model_refresh span nesting
- Add _skip_span parameter to reflect_async to avoid duplicate hindsight.reflect spans
- Mental model refresh now has clean span hierarchy without nested reflect parent
- Add comprehensive tracing verification tests
- Test span hierarchy and attributes for all operations
- Verify parent-child relationships
- 5 passing tests covering recall, reflect, consolidation, and mental_model_refresh
* refactor: remove redundant is_tracing_enabled() checks
- Remove all is_tracing_enabled() conditional checks before tracing calls
- NoOpTracer/NoOpSpan handle disabled tracing automatically
- Simplify code by always calling tracer methods directly
- Fix NoOpTracer.start_as_current_span() to yield NoOpSpan instead of None
Changes:
- memory_engine.py: Remove 5 is_tracing_enabled checks in recall spans
- agent.py: Remove 2 is_tracing_enabled checks in reflect tool spans
- tracing.py: Fix NoOpTracer context manager to yield proper NoOpSpan
This eliminates ~50 lines of redundant conditional code while maintaining
identical behavior.
* docs: simplify distributed tracing section in monitoring.md
- Make tracing documentation more concise
- Focus on span hierarchy and attributes
- Remove verbose troubleshooting and performance sections
- Keep configuration.md for env vars only
* feat(mcp): add async_processing parameter to retain tool
Add async_processing parameter (default: True) to the MCP retain tool
to allow non-blocking memory storage. When True, memories are queued
for background processing and the tool returns immediately. When False,
the tool waits for completion before returning.
This matches the async behavior available in the HTTP API.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat(mcp): add list_memories and reflect tools
Add two missing MCP tools to achieve feature parity with HTTP API:
- list_memories: browse memories with pagination and full-text search
(equivalent to GET /memories/list)
- reflect: LLM-based reasoning over memories with disposition awareness
(equivalent to POST /reflect)
Both tools follow the existing pattern with JSON string responses
and proper error handling.
* docs: improve CLAUDE.md with detailed architecture info
- Add memory types explanation (world, experience, opinion, observation)
- Document retain/ and search/ submodule structure
- Add commands for single test run, ruff format, ty type checking
- Note MCP server implementation in API layer
- Add optional environment variables section
- Clarify conventions (no Python files at root, npm workspaces)
* chore: add .mcp.json and .osgrep to gitignore
These are user-specific development tool configs that should not be committed.
* changes
* refactor(mcp): remove list_memories tool
The list_memories endpoint is for debugging/exploration, not agent use.
Agents should use recall for semantic search instead.
Feedback from maintainer: "this tool is misleading for the agent,
it should use recall, the list method is mostly for debugging and
exploration, not for real usage"
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* refactor(mcp): remove list_banks and create_bank tools
These admin/orchestration tools are not needed for typical agent usage.
Agents work with a single configured bank via X-Bank-Id header.
MCP now exposes only core memory operations:
- retain: store memories
- recall: semantic search
- reflect: LLM reasoning over memories
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Anton Evseev <a.evseev@xsolla.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* feat: Add local LLM improvements for reasoning models and Docker startup
## Reasoning Model Support
- Strip thinking tags from local LLM responses (<think>, <thinking>, <reasoning>, |startthink|/|endthink|)
- Enables Qwen3, DeepSeek, and other reasoning models to work with JSON extraction
- Non-breaking: only affects responses that contain thinking tags
## Docker Retry Start Script
- New retry-start.sh waits for dependencies before starting Hindsight
- Checks LLM Studio availability at /v1/models endpoint
- Checks database connectivity (skipped for embedded pg0)
- Configurable via HINDSIGHT_RETRY_MAX and HINDSIGHT_RETRY_INTERVAL env vars
- Prevents startup failures when LLM Studio isn't ready yet
Tested on Apple Silicon M4 Max with Qwen3 8B via LM Studio.
* refactor: make thinking token stripping opt-in via env var
* refactor: merge retry logic into start-all.sh (opt-in via HINDSIGHT_WAIT_FOR_DEPS)
* fix: resolve pg0 stale instance config in Docker build
- Remove stale pg0 instance data after pre-caching binaries to avoid
port conflicts (was using hardcoded port 5555 from build time)
- Remove unused cache copy logic from start-all.sh
- Add database backup instructions to CLAUDE.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* feat: Add Anthropic Claude and LM Studio provider support
- Add Anthropic as LLM provider with full async support
- Add LM Studio provider for local model inference
- Fix JSON response format compatibility for local models
- Update .env.example with configuration examples
- Update docstrings with all supported providers
Tested with:
- Claude Sonnet 4 (claude-sonnet-4-20250514)
- Claude Haiku 4.5 (claude-haiku-4-5-20251001)
- Qwen 30B via LM Studio
* feat: Add dynamic timeout for local LLM providers
Add configurable timeout support for LLM API calls:
- Environment variable override via HINDSIGHT_API_LLM_TIMEOUT
- Dynamic heuristic for lmstudio/ollama: 20 mins for large models
(30b, 33b, 34b, 65b, 70b, 72b, 8x7b, 8x22b), 5 mins for others
- Pass timeout to Anthropic, OpenAI, and local model clients
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: Address PR review feedback
- Remove CLAUDE.md from .gitignore (should stay in repository)
- Pass max_completion_tokens to _call_anthropic instead of hardcoding 4096
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: Remove deleted AI assistant files from .gitignore
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* docs: Add CLAUDE.md for Claude Code integration
Provides project context and development commands for AI-assisted coding.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: Include local dev files and sync changes
- Add docker-compose.yml for local development
- Add test_internal.py for local testing
- Sync uv.lock and llm_wrapper.py changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: Address PR review feedback for LLM provider support
- Move LLM config to config.py with HINDSIGHT_API_ prefix
- Add HINDSIGHT_API_LLM_MAX_CONCURRENT (default: 32)
- Add HINDSIGHT_API_LLM_TIMEOUT (default: 120s)
- Remove fragile model-size timeout heuristic
- Apply markdown JSON extraction to all providers, not just local
- Fix Anthropic markdown extraction bug (missing split)
- Change LLM request/response logs from info to debug level
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: Remove local dev docker-compose.yml
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: Add local dev docker-compose.yml
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: Update LM Studio port to 2222 in docker-compose
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: Remove obsolete version attribute from docker-compose
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: Remove test file and docker-compose per PR review
- Remove test_internal.py (debug file)
- Remove docker-compose.yml (to be moved to hindsight-cookbook repo)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
