Quick Start

pip install langchat

OPENAI_API_KEY=sk-...
PINECONE_API_KEY=pcsk-...
PINECONE_INDEX=my-index
SUPABASE_URL=https://xxxx.supabase.co
SUPABASE_KEY=eyJhbGc...

import asyncio
from langchat import LangChat
from langchat.providers import OpenAI, Pinecone, Supabase

async def main():
    lc = LangChat(
        llm=OpenAI("gpt-4o-mini"),      # reads OPENAI_API_KEY
        vector_db=Pinecone("my-index"), # reads PINECONE_API_KEY
        db=Supabase(),                  # reads SUPABASE_URL + SUPABASE_KEY
    )

    response = await lc.chat(
        query="What can you help me with?",
        user_id="alice",
    )

    print(response)        # prints response text
    print(response.text)   # same — explicit access
    print(response.status) # "success" or "error"

asyncio.run(main())

from langchat import LangChat
from langchat.providers import OpenAI, Pinecone, Supabase

lc = LangChat(
    llm=OpenAI("gpt-4o-mini"),
    vector_db=Pinecone("my-index"),
    db=Supabase(),
)

response = lc.chat_sync(query="Hello!", user_id="alice")
print(response)

response = await lc.chat(query="Hello", user_id="alice")

if response:                        # True when status == "success"
    print(response.text)
    print(f"Answered in {response.response_time:.2f}s")
else:
    print(f"Error: {response.error}")

from langchat.api import create_app
from langchat.providers import OpenAI, Pinecone, Supabase
import uvicorn

app = create_app(
    llm=OpenAI("gpt-4o-mini"),
    vector_db=Pinecone("my-index"),
    db=Supabase(),
)

uvicorn.run(app, host="0.0.0.0", port=8000)