feat(web): 用户侧体验补齐——思维链/工具卡数据源 + 图片附件 + 语音上行 + home/vision/voice 真表现
- 打通 thinking/tool_call 运行时数据源:openai 发 thinking_*(reasoning_content)/tool_call_* (delta.tool_calls 累积重新组装 Args 非 JSON 串);anthropic_stream 发 thinking_*(content_block thinking start/delta/stop)。ws_bridge 已映射 thinking.*/tool_call.*,前端渲染活。 - 前端消息模型 + 附件:ChatMessage 加 image?;ChatInput 加附件按钮(file→base64)、预览/移除、 image-aware onSend(text,image);VisionMessageBody 升级图像卡+识别 chip;VoiceMessageBody 升级通话控制卡(live2D预留/波形/静音/挂断);HomeMessageBody 读真实 deviceUpdates(去掉 sampleDevices 猜)。 - 激活 voice_input:ChatShell onVoice 不再 no-op → sendUp voice_input + 切 voice mode。 - addTool 改按工具名 upsert(修复 tool_call.start/end 重复卡);ws_mode_switch 应用 agent 驱动 mode;addUserMessage/beginAssistant 带 image/mode;chatStream/useChat.send 带 image。 - 新增 image/phone 图标。 已知限制(标注):图片仅前端收集(后端 chatRequest 无 image 字段未接真推理);流式工具卡无真实 工具名(StreamEvent 只带 ID,回退 tool_<id前缀>);mode 由 agent 驱动但后端未逐消息下发 mode (mode_switch 回显+默认当前 mode 兜底);voice 为 UI+voice_input 上行(真实通话后置)。 go build/vet/test + 前端 tsc 绿。
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@@ -436,6 +436,63 @@ func TestAnthropicChat_ChatStream_NoMessageStop(t *testing.T) {
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}
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}
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func TestAnthropicChat_ChatStream_Thinking(t *testing.T) {
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t.Parallel()
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sse := strings.Join([]string{
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`data: {"type":"message_start","message":{"model":"claude-test","usage":{"input_tokens":5}}}`,
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``,
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`data: {"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":""}}`,
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``,
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`data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"Let me"}}`,
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``,
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`data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" think"}}`,
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``,
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`data: {"type":"content_block_stop","index":0}`,
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``,
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`data: {"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}}`,
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``,
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`data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Hel"}}`,
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``,
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`data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"lo"}}`,
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``,
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`data: {"type":"content_block_stop","index":1}`,
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``,
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`data: {"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"output_tokens":7}}`,
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``,
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`data: {"type":"message_stop"}`,
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``,
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}, "\n")
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srv := newAnthropicServer(t, http.StatusOK, "text/event-stream", sse, nil)
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ad := NewAnthropicChat(config.LLMConfig{AnthropicBaseURL: srv.URL, AnthropicModel: "claude-test"})
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var events []StreamEvent
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resp, err := ad.ChatStream(context.Background(),
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Request{Messages: []Message{TextMessage(RoleUser, "hi")}, Model: "claude-test"},
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func(ev StreamEvent) { events = append(events, ev) })
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if err != nil {
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t.Fatalf("ChatStream error: %v", err)
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}
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if resp.Content != "Hello" {
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t.Errorf("resp.Content = %q, want Hello (thinking must not leak into body content)", resp.Content)
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}
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if resp.TotalTokens != 12 {
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t.Errorf("resp.TotalTokens = %d, want 12 (5 input + 7 output)", resp.TotalTokens)
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}
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wantEvents := []StreamEvent{
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{Kind: StreamKindThinkingStart, Index: 0},
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{Kind: StreamKindThinkingDelta, Index: 0, Delta: "Let me"},
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{Kind: StreamKindThinkingDelta, Index: 0, Delta: " think"},
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{Kind: StreamKindThinkingEnd, Index: 0},
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{Kind: StreamKindTextStart, Index: 1},
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{Kind: StreamKindTextDelta, Index: 1, Delta: "Hel"},
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{Kind: StreamKindTextDelta, Index: 1, Delta: "lo"},
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{Kind: StreamKindTextEnd, Index: 1},
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}
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if !reflect.DeepEqual(events, wantEvents) {
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t.Errorf("events = %+v, want %+v", events, wantEvents)
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}
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}
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func TestAnthropicChat_ToolResult(t *testing.T) {
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t.Parallel()
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blk := AnthropicToolResult("toolu_1", `{"ok":true}`, true)
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