[REQUEST] AG-UI support

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評估

難度
5/5
預估耗時
一週以上
新手友好度
35/100
Issue 類型
功能
描述清晰度
基本清楚
活躍度
活躍
技術堆疊
typescript

研究方向

Start by locating the agent execution event pipeline and the boundary where backend clients communicate with workflows. Review how internal workflow and agent events are currently exposed, then compare them with the AG-UI specification. Done means compatible clients can receive streamed messages, tool lifecycles, status, errors, cancellation, and completion events, with documentation and integration tests.

由索引模型根據 Issue 內容生成。

描述

feature

Add support for the AG-UI (Agent-User Interaction) Protocol to enable standardized real-time communication between AI agents and frontend clients.

The implementation should expose agent execution events (e.g., messages, tool calls, reasoning/status updates, errors, completion, and streamed responses) using the AG-UI protocol, allowing compatible clients such as CopilotKit and other AG-UI consumers to interact with the backend without custom integrations.

Scope
  • Implement AG-UI protocol support for agent execution.
  • Stream agent events (text, tool calls, status, errors, completion, etc.).
  • Map internal workflow/agent events to AG-UI event types.
  • Support incremental/streaming responses.
  • Ensure protocol compliance with the AG-UI specification.
  • Provide an extensible architecture for future event types and protocol updates.
Acceptance Criteria
  • AG-UI compatible clients can communicate with the backend.
  • Agent responses are streamed using AG-UI events.
  • Tool invocation lifecycle is exposed through the protocol.
  • Errors and cancellation events are properly propagated.
  • Protocol implementation is documented and covered by integration tests.
Benefits
  • Standardized frontend integration.
  • Interoperability with existing AG-UI ecosystem tools.
  • Easier maintenance by decoupling internal agent logic from client-specific protocols.
  • Foundation for future multi-agent and workflow integrations.
主要語言
TypeScript
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1 小時 44 分鐘
30 天內合併 PR
841

環境準備

這個專案沒有提供開發容器、Dockerfile 或貢獻指南,環境需要你自己搭建:先看它的 README,通用步驟見我們的新手貢獻指南。

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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