Skip to content
Back to skills

Agent Streaming

ASecurity

Stream events from orxhestra agents including token-by-token output, sub-agent events via AgentTool, and Runner streaming.

  • 21 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added May 27, 2026
data-aipython

Security analysis

A100/100

Scanned May 27, 2026

npx -y skills add NicolaiLassen/orxhestra --skill agent-streaming --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Agent Streaming?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Agent Streaming
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/nicolailassen-agent-streaming/badge)](https://www.skillsdirectory.com/skills/nicolailassen-agent-streaming)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: agent-streaming
description: Stream events from orxhestra agents including token-by-token output, sub-agent events via AgentTool, and Runner streaming.
---

# Agent Streaming

All agents stream via `astream()`, yielding `Event` objects.

## Basic streaming

```python
from orxhestra.events.event import Event, EventType

async for event in agent.astream("Write about distributed systems"):
    if event.type == EventType.AGENT_MESSAGE and event.partial:
        print(event.text, end="", flush=True)
    elif event.is_final_response():
        print(f"\n[DONE] {event.text}")
```

## Sub-agent streaming via AgentTool

Sub-agent events stream through the parent in real-time. Events carry `branch` and `agent_name` fields.

```python
from orxhestra import LlmAgent
from orxhestra.tools.agent_tool import AgentTool

weather_agent = LlmAgent(name="WeatherAgent", model=model, tools=[get_weather])
travel_agent = LlmAgent(name="TravelAgent", model=model, tools=[get_attractions])

planner = LlmAgent(
    name="TripPlanner",
    model=model,
    tools=[AgentTool(weather_agent), AgentTool(travel_agent)],
    instructions="Use the sub-agents to plan a trip.",
)

async for event in planner.astream("Plan a trip to Copenhagen"):
    if event.branch:
        print(f"  [{event.agent_name}] {event.text}", end="")
    elif event.is_final_response():
        print(f"\nFinal: {event.text}")
```

## How it works

1. `LlmAgent` creates an `asyncio.Queue` and sets `ctx.event_callback = queue.put_nowait`.
2. `AgentTool` calls `ctx.event_callback(event)` for each child event.
3. Events yield from the queue concurrently while tools run.
4. `event_callback` propagates through `ctx.derive()` for nested sub-agents.

Any custom tool can use `ctx.event_callback` to push events.

## With Runner

```python
async for event in runner.astream(
    user_id="user-1",
    session_id="session-1",
    new_message="Write me a long essay.",
):
    if event.is_final_response():
        print(f"\n[DONE] {event.text}")
    elif event.type == EventType.AGENT_MESSAGE and event.partial:
        print(event.text, end="", flush=True)
```

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.