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Use when connecting AI SDK for Python streams to AI SDK UI useChat clients.
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Baseado na classificação ocupacional SOC
Use when building serverless AI SDK for Python endpoints, handling hook approvals, deferring hooks, or resuming runs across requests.
Use for AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent.
Use for AI SDK for Python async-generator tools, streaming tool output, subagent tools, PartialToolCallResult events, and custom tool aggregation.
Use for the subagent-as-a-tool pattern.
Use when building custom agent loops. Modify tool dispatch, history management, hooks, control flow.
Use for implementing custom providers in AI SDK for Python.
| name | ai-python-ui-adapter |
| description | Use when connecting AI SDK for Python streams to AI SDK UI useChat clients. |
| metadata | {"sdk-version":"0.2.1"} |
Frontend:
const chat = useChat({
transport: new DefaultChatTransport({ api: "/api/chat" }),
sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithApprovalResponses,
});
Use chat.sendMessage(...) to send user input. Use
chat.addToolApprovalResponse(...) from approval buttons.
Backend request:
class ChatRequest(pydantic.BaseModel):
messages: list[ai.agents.ui.ai_sdk.UIMessage]
messages, approvals = ai.agents.ui.ai_sdk.to_messages(request.messages)
ai.agents.ui.ai_sdk.apply_approvals(approvals)
Backend stream:
async def body():
async with agent.run(model, messages) as stream:
async def events():
async for event in stream:
if (
isinstance(event, ai.events.HookEvent)
and event.hook.status == "pending"
):
ai.defer_hook(event.hook)
yield event
async for chunk in ai.agents.ui.ai_sdk.to_sse(events()):
yield chunk
return StreamingResponse(
body(),
headers=ai.agents.ui.ai_sdk.UI_MESSAGE_STREAM_HEADERS,
)
The adapter handles UIMessage parsing, message IDs, tool state, approvals,
subagent MessageBundle values, and AI SDK UI stream events.
You handle the HTTP route, auth, storage, session lookup, frontend rendering, and when to defer hooks.
For saved UI history, use:
ui_messages = ai.agents.ui.ai_sdk.to_ui_messages(messages)