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[WIP] Add Agent Playground and Tool Playground for interactive debugging#1106

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claude/add-agent-playground-plugin
Apr 10, 2026
Merged

[WIP] Add Agent Playground and Tool Playground for interactive debugging#1106
hotlong merged 4 commits into
mainfrom
claude/add-agent-playground-plugin

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@Claude Claude AI commented Apr 10, 2026

Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.


This section details on the original issue you should resolve

<issue_title>[Studio] Agent Playground & Tool Playground: 交互式调试与测试插件</issue_title>
<issue_description>## 背景
当前 Studio 对 AI Agent 和 Tool 的元数据仅支持基础 JSON 结构查看(MetadataInspector),没有交互式的 Playground:

  • 花名册(侧边栏)只能预览 agent/tool,不能直接试用;
  • Chat Panel 虽支持 agent 选择、tool 调用过程可见,但没有直接链接到元数据树的选中上下文。
  • 对于 Tool,没有低门槛参数填报与一键执行(dry-run)能力,难以交互式验证和调试。

目标

实现两个内置插件:

1. Agent Playground

  • 选中任意 agent 元数据后,主内容区自动渲染「Agent Playground」
  • 包含:
    • Agent 配置/说明卡片(JSON Inspector + 型号描述)
    • 内嵌 AI Chat 窗口(useChat/transport 直连该 agent)
    • Conversation log 可展开/下载/清空

2. Tool Playground

  • 选中 tool 元数据后,主内容区自动渲染「Tool Playground」
  • 包含:
    • Tool 结构说明(JSON Inspector)
    • 自动生成参数表单,根据 Tool Schema - type/enum/required
    • [运行] 按��支持 dry-run 执行(调用 tool handler,但不落库)
    • 输出/错误区域可查看/复制,支持多次运行,带历史

设计要点

  • 应作为 Studio 内置插件,优先级高于 fallback inspector(即命中元数据类型 agent/tool 时覆盖)
  • Playground 必须具备本地开发/在线演练一致体验,设计为与 AiChatPanel 行为解耦
  • 支持通过 QA 测试集模拟批量执行、自动化验证
    </issue_description>

Comments on the Issue (you are @claude[agent] in this section)

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vercel Bot commented Apr 10, 2026

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objectstack-play Ready Ready Preview, Comment Apr 10, 2026 2:47pm
spec Ready Ready Preview, Comment Apr 10, 2026 2:47pm

Request Review

Agent-Logs-Url: https://github.com/objectstack-ai/framework/sessions/fdb1a79a-ee3d-49d8-ac23-7ef960bf001d

Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>
import { buildToolRoutes } from '../routes/tool-routes.js';
import { AIService } from '../ai-service.js';
import { InMemoryConversationService } from '../conversation/in-memory-conversation-service.js';
import { ToolRegistry } from '../tools/tool-registry.js';
- Fixed ToolRegistry API usage (use has() and execute() instead of non-existent get() method)
- Added extractOutputValue() helper to safely handle different output types
- Updated tests to use correct ToolRegistry.register() signature (separate definition and handler params)
- Fixed test expectations to match string output from handlers
- All builds and tests now passing

Agent-Logs-Url: https://github.com/objectstack-ai/framework/sessions/4239d194-ecf4-4513-9729-f161ab40710d

Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>
@hotlong hotlong marked this pull request as ready for review April 10, 2026 14:48
Copilot AI review requested due to automatic review settings April 10, 2026 14:48
@hotlong hotlong merged commit 87ace23 into main Apr 10, 2026
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Pull request overview

This PR adds interactive Studio “Playground” experiences for AI Agents and AI Tools, backed by a new AI service REST route for tool listing/execution, to support quick debugging/testing directly from selected metadata items.

Changes:

  • Added GET /api/v1/ai/tools and POST /api/v1/ai/tools/:toolName/execute routes in service-ai, and wired them into AIServicePlugin.
  • Introduced Studio built-in Agent Playground (embedded chat) and Tool Playground (auto-generated parameter form + execution history) metadata viewers (priority 10).
  • Added tests for the new tool routes and Studio plugin manifests/registration.

Reviewed changes

Copilot reviewed 8 out of 8 changed files in this pull request and generated 9 comments.

Show a summary per file
File Description
packages/services/service-ai/src/routes/tool-routes.ts Adds tool list + tool execution REST routes for playground/testing.
packages/services/service-ai/src/plugin.ts Registers the new tool routes during AI service plugin startup.
packages/services/service-ai/src/index.ts Re-exports buildToolRoutes.
packages/services/service-ai/src/tests/tool-routes.test.ts Adds route-level tests for listing/executing tools.
apps/studio/src/plugins/built-in/agent-playground-plugin.tsx Adds agent-specific metadata viewer with embedded streaming chat + history tools.
apps/studio/src/plugins/built-in/tool-playground-plugin.tsx Adds tool-specific viewer with schema-driven form, execution, and local history.
apps/studio/src/plugins/built-in/index.ts Registers the two playground plugins in built-in plugin activation order.
apps/studio/test/playground-plugins.test.ts Tests manifest structure and activation registration for the new plugins.

Comment on lines +85 to +87
if (!parameters || typeof parameters !== 'object') {
return { status: 400, body: { error: 'parameters object is required' } };
}
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The route currently accepts any JSON value where typeof parameters === 'object', which also allows arrays. ToolRegistry.execute() then casts toolCall.input to Record<string, unknown>, so an array payload can slip through and break handlers in unexpected ways. Tighten validation to require a plain object (non-null and not an array).

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tools: tools.map(t => ({
name: t.name,
description: t.description,
category: (t as any).category,
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aiService.toolRegistry.getAll() returns AIToolDefinition (name/description/parameters) which does not include category, so this field will always be undefined unless you’re relying on undocumented extension fields. Either remove category from the response or extend the tool definition/registry API to return category explicitly.

Suggested change
category: (t as any).category,

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Comment on lines +27 to +30
export function buildToolRoutes(
aiService: AIService,
logger: Logger,
): RouteDefinition[] {
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buildAIRoutes() is explicitly contract-driven (takes IAIService/IAIConversationService), but buildToolRoutes() currently depends on the concrete AIService class. To keep routes framework/service-implementation agnostic, consider accepting a narrower dependency (e.g., ToolRegistry or an interface exposing toolRegistry) instead of the concrete service type.

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Comment on lines +166 to +175
<Textarea
id={name}
value={value ? JSON.stringify(value, null, 2) : ''}
onChange={(e) => {
try {
onChange(JSON.parse(e.target.value));
} catch {
// Keep invalid JSON as string for now
}
}}
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The array JSON textarea is effectively not editable: when the user types intermediate/invalid JSON, the catch block does nothing, but the component is controlled with value={JSON.stringify(value)}, so the UI immediately reverts to the last valid value. Consider keeping a separate raw text state for JSON inputs (and parsing/validating on blur/execute) so users can type freely and see validation errors.

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Comment on lines +193 to +202
<Textarea
id={name}
value={value ? JSON.stringify(value, null, 2) : ''}
onChange={(e) => {
try {
onChange(JSON.parse(e.target.value));
} catch {
// Keep invalid JSON as string for now
}
}}
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Same issue as the array textarea: the object JSON textarea ignores invalid JSON in onChange, but the input is controlled by JSON.stringify(value), so partial edits can’t be entered. Use a raw string state (plus parse-on-commit) or allow storing the raw string and validate before execution.

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Comment on lines +443 to +465
if (!response.ok) {
const errorData = await response.json().catch(() => ({ error: response.statusText }));
const entry: ExecutionEntry = {
id: entryId,
timestamp: Date.now(),
parameters: { ...parameters },
status: 'error',
error: errorData.error || 'Tool execution failed',
duration,
};
saveHistory([...history, entry]);
} else {
const result = await response.json();
const entry: ExecutionEntry = {
id: entryId,
timestamp: Date.now(),
parameters: { ...parameters },
status: 'success',
result: result.result || result,
duration,
};
saveHistory([...history, entry]);
}
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History updates use the history value captured in the executeTool closure (saveHistory([...history, entry])). If executions happen back-to-back (or React batches updates), entries can be dropped. Prefer a functional state update (e.g., derive next entries from the previous state) and persist that same computed array to localStorage.

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Comment on lines +269 to +272
<button
onClick={() => setIsExpanded(!isExpanded)}
className="w-full flex items-center justify-between px-3 py-2 bg-muted/50 hover:bg-muted transition-colors text-left"
>
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The expand/collapse control is a <button> that contains another <button> for copy, which is invalid HTML and can cause focus/keyboard/screen-reader issues. Consider changing the outer interactive element to a non-button container (or move the copy action outside the button) and wire up keyboard handling explicitly.

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Comment on lines +430 to +431
// Call the tool via the AI service endpoint
// This is a dry-run execution - we're testing the tool logic
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This comment describes the call as a “dry-run execution”, but the endpoint being called (POST /api/v1/ai/tools/:toolName/execute) executes the tool handler normally and may perform real side effects (writes, external calls, etc.). Either implement an explicit dry-run mode end-to-end, or adjust wording/UI to avoid implying that execution is side-effect free.

Suggested change
// Call the tool via the AI service endpoint
// This is a dry-run execution - we're testing the tool logic
// Call the tool via the AI service endpoint.
// This performs a normal execution of the tool handler and may trigger
// real side effects depending on the tool implementation.

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import { buildToolRoutes } from '../routes/tool-routes.js';
import { AIService } from '../ai-service.js';
import { InMemoryConversationService } from '../conversation/in-memory-conversation-service.js';
import { ToolRegistry } from '../tools/tool-registry.js';
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ToolRegistry is imported but never used. With noUnusedLocals enabled for this package’s tsconfig, this will fail type-check/build. Remove the unused import.

Suggested change
import { ToolRegistry } from '../tools/tool-registry.js';

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[Studio] Agent Playground & Tool Playground: 交互式调试与测试插件

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