LlamaAgents Server
HTTP server for deploying LlamaIndex Workflows as web services. Built on Starlette and Uvicorn.
Installation
pip install llama-agents-server
Quick Start
Create a server file (e.g., my_server.py):
import asyncio
from workflows import Workflow, step
from workflows.context import Context
from workflows.events import Event, StartEvent, StopEvent
from llama_agents.server import WorkflowServer
class StreamEvent(Event):
sequence: int
class GreetingWorkflow(Workflow):
@step
async def greet(self, ctx: Context, ev: StartEvent) -> StopEvent:
for i in range(3):
ctx.write_event_to_stream(StreamEvent(sequence=i))
name = ev.get("name", "World")
return StopEvent(result=f"Hello, {name}!")
server = WorkflowServer()
server.add_workflow("greet", GreetingWorkflow())
if __name__ == "__main__":
asyncio.run(server.serve("0.0.0.0", 8080))
Or run it with the CLI:
llama-agents-server my_server.py
Features
- REST API for running, streaming, and managing workflows
- Debugger UI automatically mounted at
/for visualizing and debugging workflows - Event streaming via newline-delimited JSON or Server-Sent Events
- Human-in-the-loop support for interactive workflows
- Persistence with built-in SQLite store (or bring your own via
AbstractWorkflowStore)
Client
Use llama-agents-client to interact with deployed servers programmatically.
Documentation
See the full deployment guide for API details, persistence configuration, and more.
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