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agentic-langchain-chat-using-lm-studio
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Langchain multi-tool LLM service

Run

First, configure .env file for your LM Studio MODEL and HOST!

uvicorn app.main:app --reload

API

List of the Tools

GET /tools
Content-Type: application/json

Response:

[
  {
    "id": 0,
    "name": "string",
    "description": "string"
  }
]

Create a Tool

POST /tools
Content-Type: application/json

{
  "name": "Calculator",
  "description": "Useful for performing mathematical calculations. Input should be a valid mathematical expression.",
  "function_code": "def tool_function(input: str) -> str:\n    try:\n        aeval = Interpreter()\n        result = aeval(input)\n        return str(result)\n    except Exception as e:\n        return f\"Error evaluating expression: {e}\""
}

Response: