ai-python-basics
FreeUse 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.
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See how to installReview the instructions the agent will receive before you install.
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.
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Use when building custom agent loops. Modify tool dispatch, history management, hooks, control flow.
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Use for implementing custom providers in AI SDK for Python.
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Use when adding durable execution to AI SDK for Python, building durable agent loops, or serializing messages across workflow steps.
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Use when building serverless AI SDK for Python endpoints, handling hook approvals, deferring hooks, or resuming runs across requests.
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Use for AI SDK for Python async-generator tools, streaming tool output, subagent tools, PartialToolCallResult events, and custom tool aggregation.
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