feat: preview Agent HTML in conversations and unblock long replies
Agent replies that produced HTML could only be read as source, so users had to copy the markup into an external file to see the result. Completed Agent and Subagent output now renders complete HTML documents, single-root HTML replies, and `html` / `htm` code blocks as an isolated static preview in place. Each preview keeps a persistent notice that scripts and network are disabled and offers the same icon actions as Mermaid diagrams: a source toggle and a full-screen preview. The new "render HTML in conversations" switch under Platform Features / General is on by default, applies to the open conversation immediately, and falls back to HTML source when disabled. Previews cannot run scripts, reach the network, submit forms, open windows, or load remote media; author stylesheets and inline styles are preserved so the intended layout survives, and remote resource loading is refused by the preview CSP instead. Direct-model replies no longer fail once they grow large. The byte caps on streaming responses, single stream blocks, non-streaming replies, model tool arguments, tool request context, aggregate tool results, and accumulated answer text are removed, so users stop seeing "模型接口流式响应超过安全限制" on long answers. Response length is now governed by the request timeout, cancellation, and context compression. Image generation responses keep their decodable-image validation. A message sent after a failed or interrupted run stayed in the pending queue instead of running. The conversation is now released whenever a run reaches any terminal state, not only when the renderer reports readiness again, and a dispatched queue item whose run never starts releases its reservation and returns to pending. Later messages dispatch without extra user action. Release note: Agent 回复中的 HTML 现在可直接在会话内预览，支持查看源码和全屏预览，默认开启并可在“平台功能 / 通用设置”关闭；直连模型的长回复不再因大小限制中断；上一次运行失败或被中断后，新发送的消息会立即执行而不再排队等待。
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mesalogo
@@ -6710,6 +6710,221 @@ describe('registerIpcHandlers agent terminal state', () => {
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await harness.dispose()
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})
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it('releases the queue reservation when a dispatched run cannot start', async () => {
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const runtime = {
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runtimeId: 'model',
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capability: 'chat',
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supportsToolExecution: false,
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async *run(request: { requestId: string }) {
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yield {
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requestId: request.requestId,
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type: 'done'
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} as const
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}
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}
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const harness = createHarness(runtime)
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const conversationId =
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'00000000-0000-4000-8000-000000000745'
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const itemId = '00000000-0000-4000-8000-000000000746'
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const input = {
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conversationId,
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runtimeSelection: { provider: 'auto' as const },
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workMode: 'ask' as const,
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includeMemoryContext: true,
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prompt: '需要重新排队',
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attachments: [],
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knowledgeLibraryIds: [],
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knowledgeRetrievalMode: 'auto' as const
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}
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const item = {
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id: itemId,
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conversationId,
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source: 'user' as const,
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label: input.prompt,
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createdAt: '2026-08-21T00:02:00.000Z'
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}
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harness.assistantDatabase.enqueueConversationUserInput.mockReturnValue(
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item
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)
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harness.assistantDatabase.listConversationQueueItems
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.mockReturnValueOnce([item])
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.mockReturnValue([])
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harness.assistantDatabase.claimConversationQueueItem.mockReturnValueOnce(
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{
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source: 'user',
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item,
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payloadJson: JSON.stringify({
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input,
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serializedContexts: '[]'
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})
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}
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)
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harness.assistantDatabase.getConversationQueueItem.mockReturnValue(
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item
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)
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harness.assistantDatabase.createTask.mockImplementationOnce(() => {
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throw new Error('会话记录不可用')
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})
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electronMocks.handlers.get(
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ipcChannels.conversationQueueEnqueueUser
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)?.(trustedEvent(harness.webContents), input)
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await vi.waitFor(() =>
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expect(harness.webContents.send).toHaveBeenCalledWith(
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ipcChannels.conversationQueueDispatch,
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{ item, input }
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)
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)
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await expect(
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harness.handler?.(trustedEvent(harness.webContents), {
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requestId: '00000000-0000-4000-8000-000000000747',
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conversationId,
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queueItemId: itemId,
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runtimeSelection: input.runtimeSelection,
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prompt: input.prompt,
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workMode: input.workMode,
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knowledgeLibraryIds: []
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})
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).rejects.toThrow('会话记录不可用')
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expect(
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harness.assistantDatabase.releaseConversationUserQueueItem
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).toHaveBeenCalledWith(itemId)
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await harness.handler?.(trustedEvent(harness.webContents), {
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requestId: '00000000-0000-4000-8000-000000000748',
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conversationId,
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runtimeSelection: { provider: 'auto' },
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prompt: '失败后的新消息',
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workMode: 'ask',
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knowledgeLibraryIds: []
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})
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await harness.dispose()
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})
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it('dispatches a message queued during a run that later fails', async () => {
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let failRun: ((error: Error) => void) | undefined
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const runtimeStarted = vi.fn()
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const runtime = {
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runtimeId: 'model',
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capability: 'chat',
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supportsToolExecution: false,
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// eslint-disable-next-line require-yield
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async *run(request: { requestId: string }) {
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runtimeStarted(request.requestId)
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throw await new Promise<Error>((resolve) => {
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failRun = resolve
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})
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}
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}
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const harness = createHarness(runtime)
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const conversationId =
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'00000000-0000-4000-8000-000000000751'
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const createItem = (id: string, prompt: string) => {
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const input = {
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conversationId,
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runtimeSelection: { provider: 'auto' as const },
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workMode: 'ask' as const,
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includeMemoryContext: true,
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prompt,
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attachments: [],
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knowledgeLibraryIds: [],
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knowledgeRetrievalMode: 'auto' as const
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}
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return {
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input,
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item: {
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id,
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conversationId,
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source: 'user' as const,
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label: prompt,
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createdAt: '2026-08-21T00:03:00.000Z'
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}
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}
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}
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const first = createItem(
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'00000000-0000-4000-8000-000000000752',
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'会失败的消息'
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)
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const second = createItem(
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'00000000-0000-4000-8000-000000000753',
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'失败之后的新消息'
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)
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harness.assistantDatabase.enqueueConversationUserInput
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.mockReturnValueOnce(first.item)
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.mockReturnValueOnce(second.item)
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harness.assistantDatabase.listConversationQueueItems
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.mockReturnValueOnce([first.item])
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.mockReturnValueOnce([second.item])
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.mockReturnValue([])
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harness.assistantDatabase.claimConversationQueueItem
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.mockReturnValueOnce({
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source: 'user',
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item: first.item,
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payloadJson: JSON.stringify({
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input: first.input,
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serializedContexts: '[]'
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})
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})
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.mockReturnValueOnce({
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source: 'user',
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item: second.item,
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payloadJson: JSON.stringify({
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input: second.input,
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serializedContexts: '[]'
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})
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})
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harness.assistantDatabase.getConversationQueueItem.mockImplementation(
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(id: string) =>
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id === first.item.id ? first.item : second.item
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)
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electronMocks.handlers.get(
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ipcChannels.conversationQueueEnqueueUser
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)?.(trustedEvent(harness.webContents), first.input)
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await vi.waitFor(() =>
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expect(harness.webContents.send).toHaveBeenCalledWith(
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ipcChannels.conversationQueueDispatch,
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{ item: first.item, input: first.input }
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)
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)
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await harness.handler?.(trustedEvent(harness.webContents), {
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requestId: '00000000-0000-4000-8000-000000000754',
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conversationId,
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queueItemId: first.item.id,
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runtimeSelection: first.input.runtimeSelection,
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prompt: first.input.prompt,
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workMode: first.input.workMode,
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knowledgeLibraryIds: []
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})
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await vi.waitFor(() => expect(runtimeStarted).toHaveBeenCalled())
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// The next message arrives while the run is still in flight, so the
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// renderer never reports readiness for it afterwards.
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electronMocks.handlers.get(
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ipcChannels.conversationQueueEnqueueUser
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)?.(trustedEvent(harness.webContents), second.input)
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failRun?.(new Error('模型接口请求失败'))
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await vi.waitFor(() =>
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expect(
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harness.assistantDatabase.updateTaskStatus
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).toHaveBeenCalledWith(
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'00000000-0000-4000-8000-000000000754',
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'failed',
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expect.any(String)
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)
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)
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await vi.waitFor(() =>
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expect(harness.webContents.send).toHaveBeenCalledWith(
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ipcChannels.conversationQueueDispatch,
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{ item: second.item, input: second.input }
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)
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)
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await harness.dispose()
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})
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it('publishes Runtime usage as context metrics with one settings read', async () => {
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const runtime = {
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runtimeId: 'continue',
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