- 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。
238 lines
7.3 KiB
Go
238 lines
7.3 KiB
Go
package model
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import (
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"bufio"
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"encoding/json"
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"fmt"
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"io"
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"strings"
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)
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// anthropicStreamEvent is one SSE payload from /v1/messages with stream: true.
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// Anthropic carries the event kind both in the SSE `event:` field and inside the
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// JSON `type` field, so the parser keys off the JSON payload type.
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type anthropicStreamEvent struct {
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Type string `json:"type"`
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Message *anthropicStartBlock `json:"message,omitempty"`
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Index *int `json:"index,omitempty"`
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Content *anthropicBlock `json:"content_block,omitempty"`
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Delta *anthropicDelta `json:"delta,omitempty"`
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Usage *anthropicUsage `json:"usage,omitempty"`
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Error *anthropicStreamError `json:"error,omitempty"`
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}
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// anthropicStartBlock is the payload of a message_start event.
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type anthropicStartBlock struct {
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Model string `json:"model"`
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Usage *anthropicUsage `json:"usage,omitempty"`
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}
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// anthropicDelta is the incremental payload inside a content_block_delta event.
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type anthropicDelta struct {
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Type string `json:"type"` // text_delta | input_json_delta | thinking_delta
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Text string `json:"text,omitempty"`
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PartialJSON string `json:"partial_json,omitempty"`
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Thinking string `json:"thinking,omitempty"`
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}
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// anthropicStreamError is the payload of an error event.
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type anthropicStreamError struct {
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Type string `json:"type"`
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Message string `json:"message"`
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}
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// streamBlock tracks the partial state of one content block during streaming.
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type streamBlock struct {
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index int
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typ string
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id string
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name string
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text strings.Builder
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input strings.Builder
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initialArgs map[string]any
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}
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// scanAnthropicSSE incrementally decodes Anthropic's content-block stream. Text
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// deltas are forwarded as text_delta events (segment bracketed by
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// text_start/text_end); tool_use input_json_delta fragments are forwarded as
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// tool_call_delta events (segment bracketed by tool_call_start/tool_call_end)
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// and accumulated per block so they re-assemble into a structured Args map when
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// the block stops. The stream must terminate with a message_stop event,
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// otherwise ErrStream is returned.
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func scanAnthropicSSE(r io.Reader, onEvent func(StreamEvent)) (Response, error) {
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scanner := bufio.NewScanner(r)
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scanner.Buffer(make([]byte, 0, sseBufInit), maxSSELineBytes)
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agg := Response{}
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blocks := map[int]*streamBlock{}
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var order []int
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var text strings.Builder
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sawMessageStop := false
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for scanner.Scan() {
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line := strings.TrimSpace(scanner.Text())
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if line == "" || !strings.HasPrefix(line, sseDataPrefix) {
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continue
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}
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data := strings.TrimSpace(strings.TrimPrefix(line, sseDataPrefix))
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if data == "" {
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continue
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}
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var evt anthropicStreamEvent
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if err := json.Unmarshal([]byte(data), &evt); err != nil {
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return Response{}, fmt.Errorf("model: %w: decode stream chunk: %v", ErrUpstream, err)
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}
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if err := applyAnthropicEvent(&agg, blocks, &order, &text, evt, onEvent); err != nil {
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return Response{}, err
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}
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if evt.Type == "message_stop" {
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sawMessageStop = true
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}
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}
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if err := scanner.Err(); err != nil {
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return Response{}, fmt.Errorf("model: %w: read stream: %v", ErrUpstream, err)
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}
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if !sawMessageStop {
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return Response{}, ErrStream
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}
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finalizeAnthropicStream(&agg, blocks, order, text.String())
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return agg, nil
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}
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// applyAnthropicEvent folds a single stream event into the running aggregation.
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func applyAnthropicEvent(
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agg *Response,
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blocks map[int]*streamBlock,
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order *[]int,
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text *strings.Builder,
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evt anthropicStreamEvent,
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onEvent func(StreamEvent),
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) error {
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switch evt.Type {
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case "message_start":
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if evt.Message != nil {
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agg.Model = evt.Message.Model
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if evt.Message.Usage != nil {
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agg.PromptTokens = evt.Message.Usage.InputTokens
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}
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}
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case "content_block_start":
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if evt.Index == nil || evt.Content == nil {
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return nil
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}
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b := &streamBlock{
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index: *evt.Index,
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typ: evt.Content.Type,
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id: evt.Content.ID,
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name: evt.Content.Name,
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initialArgs: evt.Content.Input,
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}
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switch evt.Content.Type {
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case "text":
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindTextStart, Index: *evt.Index})
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}
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if evt.Content.Text != "" {
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b.text.WriteString(evt.Content.Text)
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text.WriteString(evt.Content.Text)
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindTextDelta, Delta: evt.Content.Text, Index: *evt.Index})
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}
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}
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case "tool_use":
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindToolCallStart, Index: *evt.Index, ID: evt.Content.ID})
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}
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case "thinking":
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindThinkingStart, Index: *evt.Index})
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}
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if evt.Content.Text != "" && onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindThinkingDelta, Delta: evt.Content.Text, Index: *evt.Index})
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}
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}
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if _, ok := blocks[*evt.Index]; !ok {
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*order = append(*order, *evt.Index)
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}
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blocks[*evt.Index] = b
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case "content_block_delta":
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if evt.Index == nil || evt.Delta == nil {
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return nil
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}
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b := blocks[*evt.Index]
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if b == nil {
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return nil
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}
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switch evt.Delta.Type {
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case "text_delta":
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b.text.WriteString(evt.Delta.Text)
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text.WriteString(evt.Delta.Text)
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindTextDelta, Delta: evt.Delta.Text, Index: *evt.Index})
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}
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case "input_json_delta":
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b.input.WriteString(evt.Delta.PartialJSON)
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindToolCallDelta, Delta: evt.Delta.PartialJSON, Index: *evt.Index, ID: b.id})
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}
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case "thinking_delta":
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindThinkingDelta, Delta: evt.Delta.Thinking, Index: *evt.Index})
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}
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}
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case "content_block_stop":
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if evt.Index == nil {
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return nil
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}
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b := blocks[*evt.Index]
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if b == nil {
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return nil
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}
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if b.typ == "text" {
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindTextEnd, Index: *evt.Index})
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}
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} else if b.typ == "tool_use" {
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindToolCallEnd, Index: *evt.Index, ID: b.id})
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}
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} else if b.typ == "thinking" {
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if onEvent != nil {
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onEvent(StreamEvent{Kind: StreamKindThinkingEnd, Index: *evt.Index})
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}
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}
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case "message_delta":
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if evt.Usage != nil {
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agg.CompletionTokens = evt.Usage.OutputTokens
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}
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case "error":
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if evt.Error != nil {
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return fmt.Errorf("model: %w: anthropic stream error: %s: %s", ErrUpstream, evt.Error.Type, evt.Error.Message)
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}
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}
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return nil
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}
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// finalizeAnthropicStream assembles the aggregated Response from the accumulated
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// blocks: concatenated text plus any tool_use ToolCalls derived per block.
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func finalizeAnthropicStream(agg *Response, blocks map[int]*streamBlock, order []int, content string) {
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agg.Content = content
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agg.Message = Message{Role: RoleAssistant, Content: []Content{{Type: ContentTypeText, Text: content}}}
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agg.TotalTokens = agg.PromptTokens + agg.CompletionTokens
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for _, idx := range order {
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b := blocks[idx]
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if b == nil || b.typ != "tool_use" {
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continue
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}
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args := b.initialArgs
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if b.input.Len() > 0 {
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decoded := map[string]any{}
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if err := json.Unmarshal([]byte(b.input.String()), &decoded); err == nil {
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args = decoded
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} else {
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args = map[string]any{}
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}
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}
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agg.ToolCalls = append(agg.ToolCalls, ToolCall{Name: b.name, Args: args})
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}
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}
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