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Basic Server

Run LangChat as a FastAPI server: 
from langchat.api.app import create_app
from langchat.llm import OpenAI
from langchat.vector_db import Pinecone
from langchat.database import Supabase
import uvicorn

# Setup providers
llm = OpenAI(api_key="sk-...", model="gpt-4o-mini")
vector_db = Pinecone(api_key="...", index_name="...")
db = Supabase(url="https://...", key="...")

# Create server
app = create_app(llm=llm, vector_db=vector_db, db=db)

# Run
if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)

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API Endpoints

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POST /chat

Send a message: 
curl -X POST http://localhost:8000/chat \
  -d "query=Hello!" \
  -d "userId=user123" \
  -d "domain=default"
Response: 
{
  "response": "Hello! How can I help you?",
  "status": "success",
  "response_time": 1.23
}

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GET /health

Check server status: 
curl http://localhost:8000/health

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GET /frontend

Access the web interface at http://localhost:8000/frontend
The frontend interface is automatically available when you run the server.

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Next Steps

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