- Create Dockerfile.standalone for MCP server without embedded FalkorDB
- Supports both Neo4j and FalkorDB via DATABASE_PROVIDER build arg
- Update docker-compose-neo4j.yml to use standalone Dockerfile
- Update docker-compose-falkordb.yml to use standalone Dockerfile
- Fixes issue where Neo4j compose was starting embedded FalkorDB
- Separate images: standalone-neo4j and standalone-falkordb
- Changed status check to use graphiti_service.config.database.provider
- Ensures status reports the actual running database, not potentially stale global
- Fixes issue where status always reported falkordb regardless of config
- Remove dead code checking for 'kuzu' provider (was removed)
- Simplify status check to use configured database provider directly
- Status now correctly reports neo4j or falkordb based on config
- Catch Redis/database connection errors during initialization
- Provide clear, formatted error messages with startup instructions
- Include provider-specific guidance (FalkorDB vs Neo4j)
- Improves developer experience when database is not running
- Change episode_id_prefix type to str | None to accept None from YAML
- Add model_post_init to convert None to empty string for backward compatibility
- Change default config path from 'config.yaml' to 'config/config.yaml'
- Fix env var expansion to return None for empty strings instead of False
- Prevents validation errors when optional string fields have unset env vars
Added detailed documentation for SEMAPHORE_LIMIT configuration to help users optimize episode processing concurrency based on their LLM provider's rate limits.
Changes:
1. **graphiti_mcp_server.py**
- Expanded inline comments from 3 lines to 26 lines
- Added provider-specific tuning guidelines (OpenAI, Anthropic, Azure, Ollama)
- Documented symptoms of too-high/too-low settings
- Added monitoring recommendations
2. **README.md**
- Expanded "Concurrency and LLM Provider 429 Rate Limit Errors" section
- Added tier-specific recommendations for each provider
- Explained relationship between episode concurrency and LLM request rates
- Added troubleshooting symptoms and monitoring guidance
- Included example .env configuration
3. **config.yaml**
- Added header comment referencing detailed documentation
- Noted default value and suitable use case
4. **.env.example**
- Added SEMAPHORE_LIMIT with inline tuning guidelines
- Quick reference for all major LLM provider tiers
- Cross-reference to README for full details
Benefits:
- Users can now make informed decisions about concurrency settings
- Reduces likelihood of 429 rate limit errors from misconfiguration
- Helps users maximize throughput within their rate limits
- Provides clear troubleshooting guidance
Addresses PR #1024 review comment about magic number documentation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixed high-impact issues from PR #1024 code review:
1. **Boolean conversion bug (schema.py)**
- Fixed _expand_env_vars returning strings 'true'/'false' instead of booleans
- Now properly converts boolean-like strings (true/false/1/0/yes/no/on/off) to actual booleans
- Simplified logic by removing redundant string-to-string conversions
- Added support for common boolean string variations
2. **Dependency management (pyproject.toml)**
- Removed pytest from main dependencies (now only in dev dependencies)
- Moved azure-identity to optional dependencies under new [azure] group
- Prevents forcing Azure and testing dependencies on all users
3. **Conditional Azure imports (utils.py)**
- Made azure-identity import conditional in create_azure_credential_token_provider()
- Raises helpful ImportError with installation instructions if not available
- Follows lazy-import pattern for optional dependencies
4. **Documentation fix (graphiti_mcp_server.py)**
- Fixed confusing JSON escaping in add_memory docstring example
- Changed from triple-backslash escaping to standard JSON string
- Updated comment to clarify standard JSON escaping is used
Issues verified as already fixed:
- Docker build context (all docker-compose files use context: ..)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Removed all remaining Kuzu references from:
- Test fixtures (test_fixtures.py): Changed default database to falkordb, removed kuzu configuration
- Test runner (run_tests.py): Removed kuzu from database choices, checks, and markers
- Integration tests (test_comprehensive_integration.py): Removed kuzu from parameterized tests and environment setup
- Test README: Updated all examples and documentation to reflect falkordb as default
- Docker README: Completely rewrote to remove KuzuDB section, updated with FalkorDB combined image as default
All Kuzu support has been completely removed from the MCP server codebase. FalkorDB (via combined container) is now the default database backend.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
BREAKING CHANGE: Kuzu is no longer supported. FalkorDB is now the default.
- Renamed Dockerfile.falkordb-combined to Dockerfile (default)
- Renamed docker-compose-falkordb-combined.yml to docker-compose.yml (default)
- Updated config.yaml to use FalkorDB with localhost:6379 as default
- Removed Kuzu from pyproject.toml dependencies (now only falkordb extra)
- Updated Dockerfile to use graphiti-core[falkordb] instead of [kuzu,falkordb]
- Completely removed all Kuzu references from README
- Updated README to document FalkorDB combined container as default
- Docker Compose now starts single container with FalkorDB + MCP server
- Prerequisites now require Docker instead of Python for default setup
- Removed old Kuzu docker-compose files
Running from command line now requires external FalkorDB instance at localhost:6379
- Changed health check to only verify FalkorDB (redis-cli ping)
- Removed non-existent /health endpoint check
- MCP server startup is visible in logs
- Container now runs without health check errors
- Override FalkorDB ENTRYPOINT to use custom startup script
- Use correct FalkorDB module path: /var/lib/falkordb/bin/falkordb.so
- Create config-docker-falkordb-combined.yaml with localhost URI
- Create /var/lib/falkordb/data directory for persistence
- Both FalkorDB and MCP server now start successfully
- Tested: FalkorDB ready, MCP server running on port 8000
- Set Dockerfile syntax to version 1 as requested
- Use Python 3.11 from Debian Bookworm instead of 3.12
- Add comment explaining Bookworm ships with Python 3.11
- Python 3.11 meets project requirement of >=3.10
- Build tested successfully
- Created Dockerfile.falkordb-combined extending official FalkorDB image
- Added startup script to run both FalkorDB daemon and MCP server
- Created docker-compose-falkordb-combined.yml for simplified deployment
- Added comprehensive README-falkordb-combined.md documentation
- Updated main README with Option 4 for combined image
- Single container solution for development and single-node deployments
