feat: add external knowledge retrieval and cross-project activity

Connect Dify, FastGPT and RAGFlow through read-only bindings, encrypted local credentials, shared retrieval and persistent citations. Configuration and removal affect GoodBuddy only. Show active conversations across projects, retain older live work, and improve project dialog scrolling. Queue concurrent questions and route managed SSH OpenCode questions through the Agent. Preserve recoverable read/search errors and partial search results. Document the Electron UI automation standard, real model and external knowledge validation, and remaining acceptance limits. Validation: earlier full regression passed 4081 tests with 66 skipped; subsequent focused remote-question checks and real Linux evidence are recorded in feature progress. Precommit typecheck and lint passed; latest project dialog and shared UI suites passed 58 tests. The full suite was not rerun for the final dialog changes. Release note: Use external knowledge in conversations, find active work across projects, and answer concurrent local or managed SSH OpenCode questions. Managed SSH questions require the updated Agent adapter.
2026-09-13 13:10:01 +08:00
parent b84250f62a
commit 3b560c9a5e
102 changed files with 6716 additions and 1484 deletions
@@ -4084,6 +4084,104 @@ describe('ModelAgentRuntime', () => {
    expect(events.at(-1)).toMatchObject({ type: 'done' })
  })

+  it('recovers an absolute workspace read by retrying a relative path against the real filesystem', async () => {
+    const workspace = await mkdtemp(join(tmpdir(), 'goodbuddy-read-recovery-'))
+    const workspaceAccess = new LocalWorkspaceAccess(workspace)
+    const toolProvider = new ModelToolProvider(workspaceAccess, [])
+    const absolutePath = join(workspace, 'README.md')
+    const marker = `read-recovery-${crypto.randomUUID()}`
+    const responses = [absolutePath, 'README.md'].map((path, index) => ({
+      choices: [{ message: {
+        role: 'assistant',
+        content: null,
+        tool_calls: [{
+          id: `read-${index}`,
+          type: 'function',
+          function: {
+            name: 'workspace_read_text',
+            arguments: JSON.stringify({ path })
+          }
+        }]
+      } }]
+    }))
+    const fetcher = vi.fn<typeof fetch>(async () => {
+      const response = responses.shift()
+      return Response.json(response ?? {
+        choices: [{ message: { role: 'assistant', content: 'Read completed.' } }]
+      })
+    })
+    const runtime = new ModelAgentRuntime({
+      baseUrl: 'https://example.test/v1',
+      model: 'test-model',
+      protocol: 'openai-chat-completions',
+      authentication: 'none',
+      fetcher,
+      toolProvider,
+      workspaceAccess
+    })
+    const events: RuntimeEvent[] = []
+
+    try {
+      await writeFile(absolutePath, `${marker}\n`)
+      for await (const event of runtime.run({
+        requestId: crypto.randomUUID(),
+        conversationId: 'conversation-workspace-read-recovery',
+        prompt: 'Read README.md.',
+        workMode: 'ask'
+      }, new AbortController().signal, async () => 'deny')) {
+        events.push(event)
+      }
+
+      expect(fetcher).toHaveBeenCalledTimes(3)
+      const secondBody = JSON.parse(String(fetcher.mock.calls[1]![1]!.body)) as {
+        messages: Array<{ role: string; tool_call_id?: string; content: string }>
+      }
+      const correction = secondBody.messages.filter((message) => message.role === 'tool')
+      expect(correction).toHaveLength(1)
+      expect(correction[0]).toMatchObject({ tool_call_id: 'read-0' })
+      expect(JSON.parse(correction[0]!.content)).toEqual({
+        ok: false,
+        recoverable: true,
+        error: expect.stringMatching(/^workspace_read_text: [\s\S]*路径必须相对于工作区/u),
+        nextAction: 'Use a workspace-relative path to an existing readable UTF-8 file; correct the path or offset/limit, and discover the filename if needed. Do not retry identical arguments.'
+      })
+      expect(correction[0]!.content).not.toContain(marker)
+
+      const thirdBody = JSON.parse(String(fetcher.mock.calls[2]![1]!.body)) as {
+        messages: Array<{ role: string; tool_call_id?: string; content: string }>
+      }
+      expect(thirdBody.messages.filter((message) => message.role === 'tool')).toEqual([
+        correction[0],
+        expect.objectContaining({
+          tool_call_id: 'read-1',
+          content: expect.stringContaining(marker)
+        })
+      ])
+      const toolEvents = events.filter((event) => event.type === 'tool')
+      expect(toolEvents.map((event) => [event.callId, event.state])).toEqual([
+        ['read-0', 'pending'],
+        ['read-0', 'running'],
+        ['read-0', 'recoverable'],
+        ['read-1', 'pending'],
+        ['read-1', 'running'],
+        ['read-1', 'completed']
+      ])
+      expect(JSON.parse(toolEvents[0]!.input!)).toEqual({ path: absolutePath })
+      expect(toolEvents[2]).toMatchObject({
+        error: expect.stringContaining('路径必须相对于工作区')
+      })
+      expect(JSON.parse(toolEvents[3]!.input!)).toEqual({ path: 'README.md' })
+      expect(toolEvents[5]).toMatchObject({ output: expect.stringContaining(marker) })
+      expect(events).toContainEqual(expect.objectContaining({
+        type: 'text', delta: 'Read completed.'
+      }))
+      expect(events.at(-1)).toMatchObject({ type: 'done' })
+    } finally {
+      await runtime.dispose()
+      await rm(workspace, { recursive: true, force: true })
+    }
+  })
+
  it('streams OpenAI Responses text and reasoning through tool rounds', async () => {
    const streams = [
      createSseEventStream([