fix(model): 解析 stop_reason + max_tokens 截断重试/非空兜底 — 不再静默空回复
- 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
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@@ -488,6 +488,7 @@ func responseFromWire(wire *openAIChatResponse) Response {
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text := wire.Choices[0].Message.Content
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out.Content = text
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out.Message = Message{Role: RoleAssistant, Content: []Content{{Type: ContentTypeText, Text: text}}}
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out.StopReason = wire.Choices[0].FinishReason
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for _, tc := range wire.Choices[0].Message.ToolCalls {
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args := map[string]any{}
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if tc.Function.Arguments != "" {
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@@ -546,6 +547,9 @@ func scanSSE(r io.Reader, onEvent func(StreamEvent)) (Response, error) {
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agg.CompletionTokens = u.CompletionTokens
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agg.TotalTokens = u.TotalTokens
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}
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if len(chunk.Choices) > 0 && chunk.Choices[0].FinishReason != "" {
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agg.StopReason = chunk.Choices[0].FinishReason
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}
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if len(chunk.Choices) == 0 || chunk.Choices[0].Delta == nil {
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continue
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}
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