Tfy Assistant Framework
Overview
The Tfy Assistant Framework is a framework for building AI assistants with streaming updates and user interactions.
Installation
pip install tfy-assistant-framework
Usage
Prerequisites
- Create a
.envfile following the.env.exampletemplate - Configure
TFY_*environment variables if using Truefoundry's NATS service- Skip this if using your own NATS connection and JetStream context
Basic Chat Assistant
Here's a minimal example of a chat assistant:
from tfy_assistant_framework.swarm import Agent, client
from typing import Any
# Custom chat agent that inherits from the base Agent class
class ChatAssistant(Agent[Any]): ...
# Initialize the chat agent
chat_agent = ChatAssistant(instructions="You are a helpful AI assistant")
async def run_chat_assistant() -> None:
# Start interactive chat session
async for agent_run in client.run(
agent=chat_agent,
messages=[], # Initial messages (if any)
interactive=True
):
agent_run.debug_log()
if __name__ == "__main__":
import asyncio
asyncio.run(run_chat_assistant())
FastAPI Integration
To serve the assistant via a REST API:
from fastapi import FastAPI, Response
from nats.js import JetStreamContext
from contextlib import asynccontextmanager
from typing import AsyncIterator
import uuid
from tfy_assistant_framework.assistant import (
AssistantServe,
CreateAssistantTaskRunResult,
NATSAssistantUpdateSink,
PostAssistantTaskMessage,
)
from tfy_assistant_framework.nats_client import nats_connection
# Initialize global variables
js: JetStreamContext
assistant_serve = AssistantServe()
@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncIterator[None]:
global js
async with nats_connection() as (nc, js_):
js = js_
async with assistant_serve.init(nc=nc, app=app):
yield
# Create FastAPI app
app = FastAPI(lifespan=lifespan)
@app.post("/assistants/chat/task")
async def create_chat_task() -> CreateAssistantTaskRunResult:
"""Create a new chat assistant task"""
task_id = uuid.uuid4().hex
return await assistant_serve.create_assistant_task(
task_id=task_id,
assistant_awaitable=run_chat_assistant(),
assistant_update_sink=NATSAssistantUpdateSink(task_id=task_id, js=js),
)
@app.post("/tasks/{task_id}/message")
async def send_message(
task_id: str,
message: PostAssistantTaskMessage,
) -> Response:
"""Send a message to an existing assistant task"""
return await assistant_serve.send_message_to_assistant_task(task_id, message)
For an end-to-end example, see examples.
Metadata
Release files for tfy-assistant-framework 0.1.10
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| tfy_assistant_framework-0.1.10.tar.gz | 22.3 kB | Without provenance | Details for tfy_assistant_framework-0.1.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tfy_assistant_framework-0.1.10-py3-none-any.whl | Python 3 | none | any | Details for tfy_assistant_framework-0.1.10-py3-none-any.whl |
Total release size: 52.0 kB
Release files / tfy_assistant_framework-0.1.10.tar.gz
| Download URL | tfy_assistant_framework-0.1.10.tar.gz |
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| Size | 22.3 kB |
| Tags | Source |
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| Tags | Python 3 |
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