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Expose orxhestra agents as A2A protocol endpoints or connect to remote A2A agents.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | a2a-integration |
| description | Expose orxhestra agents as A2A protocol endpoints or connect to remote A2A agents. |
from orxhestra import LlmAgent, InMemorySessionService
from orxhestra.a2a import A2AServer, AgentSkill
agent = LlmAgent(name="MyAgent", model=model, tools=[...])
server = A2AServer(
agent=agent,
session_service=InMemorySessionService(),
app_name="my-agent-service",
skills=[
AgentSkill(
id="qa", name="Q&A",
description="Answers general questions.",
tags=["general"],
),
],
)
app = server.as_fastapi_app()
# uvicorn my_module:app --host 0.0.0.0 --port 8000
| Method | Endpoint | Description |
|---|---|---|
GET | /.well-known/agent.json | Agent Card discovery |
POST | / | JSON-RPC 2.0 dispatch |
| Method | Description |
|---|---|
message/send | Send message, receive completed Task |
message/stream | Send message, receive SSE stream |
tasks/get | Retrieve task by ID |
tasks/cancel | Cancel a running task |
from orxhestra.agents.a2a_agent import A2AAgent
remote = A2AAgent(
name="RemoteAgent",
description="A remote research agent.",
url="http://localhost:9000",
)
async for event in remote.astream("What is quantum computing?"):
print(event.text)
agents:
remote_researcher:
type: a2a
description: "Remote research agent"
url: "http://localhost:9000"
orchestrator:
type: llm
tools:
- agent: remote_researcher
main_agent: orchestrator
Build orxhestra agent trees from declarative YAML orx files. Covers full schema, models, tools, agents, runner, and server.
Add callbacks to orxhestra agents for logging, monitoring, and error handling. Covers model and tool callbacks.
Add planners to orxhestra agents for structured reasoning. Covers BasePlanner, PlanReActPlanner, and TaskPlanner.
Add dynamic skills to orxhestra agents. Covers Skill, InMemorySkillStore, and skill discovery/loading tools.
Stream events from orxhestra agents including token-by-token output, sub-agent events via AgentTool, and Runner streaming.
Create and use tools with orxhestra agents. Covers function_tool, AgentTool, transfer tools, exit_loop, MCP tools, and CallContext.