Files
Cyrene_v2/internal/runtime/model/anthropic_stream.go
T
Aska 24d5924cee
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feat(model): Top5#1 结构化流事件 + WS 事件体系(对齐 OpenClaw AssistantMessageEvent)
- 新增 model/stream.go:StreamKind(text/thinking/tool_call 各 start/delta/end + tool_execution)
  + StreamEvent{Kind,Delta,Index,ID}。
- ChatStream 签名 onChunk func(delta string)→onEvent func(StreamEvent);loop OnStream 同改;
  streamStep 转发结构化事件。
- openai:text_delta + text_start/text_end(正文三段式);anthropic:文本块 text_*/tool_call_*
  按块 Index(content_block_stop 分支)真分段;fallback:有事件即交付。
- ws_hub:wsEvent 壳补 turnId/seq;新增 broadcastStream;streamChat 每帧打 turnId+seq;
  stream.go 把事件 publish 到 bus ws.stream。
- ws_bridge:streamEventData 映射 text_*→message.start/delta/end、thinking_*→thinking.*、
  tool_call_*→tool_call.*、tool_execution_update→tool_execution.update,未知回退 stream_chunk。
- 前端 ws.ts:解析 message.start/delta/end、thinking.start/delta/end(pendingThinking)、
  tool_call.start/end→addTool、tool_execution.update;保留旧 stream_chunk/thinking/tool_used 兼容;
  types.ts 补 turnId/seq。Docs/api-client.md 增 §3.1 v0.4。

已知限制(注释/文档标注):turnId 在 OnStream→bus→relay 路径暂为空(StreamEvent 无 turnId 字段,
bus ws.stream 载荷不带 turn);OpenAI adapter 未解析 tool_call 段;thinking 段两 adapter 暂不发;
tool_execution.update 是保留项(随工具循环钩子后置)。go build/vet/test + 前端 tsc 全绿。
2026-09-06 16:31:28 +08:00

222 lines
6.7 KiB
Go

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