Conversational application backend leveraging FastAPI and JWT with local LLM integration, vector memory context, multi-user session support, automatic history summarization, and a plugin system for real-world action execution.
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The name of the model to use
mistral
Path to the vector database
./chroma
Path to the database file
./mcp.db
Context limit for the conversation
5
Number of messages that triggers a summary
20
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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