- model.go: Response.StopReason; anthropic wire加stop_reason; openai finish_reason映射(两协议统一,原值透传)
- truncation.go(新,159行): effectiveMaxTokens/retryMaxTokens(×2封顶32768)/isTruncatedEmpty(空正文+无tool_use+stop_reason∈{max_tokens,length})/withEmptyBodyHint/callWithTruncationRetry/callStreamWithTruncationRetry/dropThinking/emitTextSegment
- anthropic.go Chat/ChatStream 走重试+兜底; anthropic_encode.go(新)拆编码(anthropic.go 529→357合规); anthropic_stream message_delta落StopReason
- agent/loop: 把模型层StopReason带到llm.call span的model_stop_reason属性(修掉trace硬编码stop的误导); loop.Result.StopReason语义未动
- 触发仅当截断空正文; tool_use空正文永不触发(native_toolcall_test仍过); 至多1次重试; 兜底回'(思考过长,未能生成回复)'绝不用thinking
- 新增7测试(非流式/流式重试+兜底+tool_use不触发+封顶+openai映射), build/vet/test绿+3平台交叉编译
244 lines
7.5 KiB
Go
244 lines
7.5 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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// The message_delta event reuses the same field name for its terminal
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// stop_reason (end_turn / max_tokens / tool_use), so it is decoded here too.
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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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StopReason string `json:"stop_reason,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.Delta != nil {
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agg.StopReason = evt.Delta.StopReason
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}
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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, ID: b.id, Args: args})
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}
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}
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