Use for AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent.
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Use for the subagent-as-a-tool pattern.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use a subagent tool when the parent model should choose when to call another agent.
@ai.tool
async def research(topic: str) -> ai.SubAgentTool:
child = ai.Agent(tools=[lookup])
messages = [
ai.system_message("Research briefly."),
ai.user_message(topic),
]
async with child.run(model, messages) as stream:
async for event in stream:
yield event
The parent model sees the child agent's final assistant text as the tool
result. The caller sees child events as ai.events.PartialToolCallResult.
Render nested output from event.value:
if isinstance(event, ai.events.PartialToolCallResult):
if isinstance(event.value, ai.events.TextDelta):
print(event.value.chunk, end="", flush=True)
Do not append child messages to the parent history yourself. The tool result
stores the child transcript as a MessageBundle.
For MessageBundle, preliminary output, and streaming tool details, use
ai-python-streaming-tools.
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Use for AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent.
中文简介正在准备中。当前显示原文说明。
Use when building custom agent loops. Modify tool dispatch, history management, hooks, control flow.
中文简介正在准备中。当前显示原文说明。
Use for implementing custom providers in AI SDK for Python.
中文简介正在准备中。当前显示原文说明。
Use when adding durable execution to AI SDK for Python, building durable agent loops, or serializing messages across workflow steps.
中文简介正在准备中。当前显示原文说明。
Use when building serverless AI SDK for Python endpoints, handling hook approvals, deferring hooks, or resuming runs across requests.
中文简介正在准备中。当前显示原文说明。
Use for AI SDK for Python async-generator tools, streaming tool output, subagent tools, PartialToolCallResult events, and custom tool aggregation.
中文简介正在准备中。当前显示原文说明。