Implementation of the AG-UI protocol for CrewAI
Project description
ag-ui-crewai
Implementation of the AG-UI protocol for CrewAI.
Provides a complete Python integration for CrewAI flows and crews with the AG-UI protocol, including FastAPI endpoint creation and comprehensive event streaming.
Installation
pip install ag-ui-crewai
Usage
from crewai.flow.flow import Flow, start
from litellm import completion
from ag_ui_crewai import (
add_crewai_flow_fastapi_endpoint,
copilotkit_stream,
CopilotKitState
)
from fastapi import FastAPI
class MyFlow(Flow[CopilotKitState]):
@start()
async def chat(self):
response = await copilotkit_stream(
completion(
model="openai/gpt-4o",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
*self.state.messages
],
tools=self.state.copilotkit.actions,
stream=True
)
)
self.state.messages.append(response.choices[0].message)
# Add to FastAPI
app = FastAPI()
add_crewai_flow_fastapi_endpoint(app, MyFlow(), "/flow")
Features
- Native CrewAI integration – Direct support for CrewAI flows, crews, and multi-agent systems
- FastAPI endpoint creation – Automatic HTTP endpoint generation with proper event streaming
- Predictive state updates – Real-time state synchronization between backend and frontend
- Streaming tool calls – Live streaming of LLM responses and tool execution to the UI
To run the dojo examples
cd python/ag_ui_crewai
poetry install
poetry run dev
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