ai-python-ui-adapter
Use when connecting AI SDK for Python streams to AI SDK UI useChat clients.
来源信息
- 仓库
- vercel-labs/seal
- 最近来源活动
- 2026年7月17日 17:25
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 8
- 分支
- 3
安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
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SKILL.md
来源说明 · 只读预览- 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"}
# ai-python-ui-adapter
Frontend:
```tsx
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:
```python
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:
```python
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:
```python
ui_messages = ai.agents.ui.ai_sdk.to_ui_messages(messages)
```
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