36a421150e
WHAT: - Add OllamaClient implementation for local LLM support - Add production-ready Docker compose configuration - Add requirements file for Ollama dependencies - Add comprehensive integration documentation - Add example FastAPI deployment WHY: - Eliminates OpenAI API dependency and costs - Enables fully local/private processing - Resolves Docker health check race conditions - Fixes function signature corruption issues TESTING: - Production tested with 1,700+ items from ZepCloud - 44 users, 81 threads, 1,638 messages processed - 48+ hours continuous operation - 100% success rate (vs <30% with MCP integration) TECHNICAL DETAILS: - Model: qwen2.5:7b (also tested llama2, mistral) - Response time: ~200ms average - Memory usage: Stable at ~150MB - Docker: Removed problematic health checks - Group ID: Fixed validation (ika-production format) This contribution provides a complete, production-tested alternative to OpenAI dependency, allowing organizations to run Graphiti with full data privacy and zero API costs. Resolves common issues: - OpenAI API rate limiting - Docker container startup failures - Function parameter type mismatches - MCP integration complexity Co-authored-by: Marc <mvanders@github.com> |
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| .. | ||
| __init__.py | ||
| anthropic_client.py | ||
| azure_openai_client.py | ||
| client.py | ||
| config.py | ||
| errors.py | ||
| gemini_client.py | ||
| groq_client.py | ||
| ollama_client.py | ||
| openai_base_client.py | ||
| openai_client.py | ||
| openai_generic_client.py | ||
| utils.py | ||