feat: LLM 调用日志 + ModelSelector 优化 + devtools.bat 编码修复
- 新增 call_log.go: 全局环形缓冲区记录每次 LLM 调用(模型/Token/耗时/错误) - OpenAIProvider.doChat/ChatStreamWithTools 自动记录调用日志 - ai-core 暴露 GET /api/v1/llm-calls 端点, DevTools 代理 + UI 面板 - ModelSelector.envProvider 改为单例缓存, 避免重复创建 HTTP Client - 新增 PurposeToolCalling 适配器, 后台思考工具调用走专用路由 - envFallback 超时 120s→180s, 显式设置 MaxRetries - devtools.bat 全英文, 解决 Windows CMD GBK 编码乱码问题 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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package llm
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import (
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"sync"
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"time"
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)
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// CallRecord records a single LLM API call.
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type CallRecord struct {
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Time time.Time `json:"time"`
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Model string `json:"model"`
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Duration time.Duration `json:"duration_ms"`
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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Success bool `json:"success"`
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Error string `json:"error,omitempty"`
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}
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// CallLogger is a thread-safe ring buffer for LLM call records.
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type CallLogger struct {
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mu sync.RWMutex
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records []CallRecord
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capacity int
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head int
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size int
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}
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var globalCallLogger = &CallLogger{capacity: 500}
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// LogCall records an LLM call. Safe for concurrent use.
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func LogCall(r CallRecord) {
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globalCallLogger.log(r)
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}
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// GetCalls returns recent call records, newest first.
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func GetCalls(limit int) []CallRecord {
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return globalCallLogger.get(limit)
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}
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func (cl *CallLogger) log(r CallRecord) {
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cl.mu.Lock()
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defer cl.mu.Unlock()
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if cl.records == nil {
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cl.records = make([]CallRecord, cl.capacity)
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}
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r.Time = time.Now()
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cl.records[cl.head] = r
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cl.head = (cl.head + 1) % cl.capacity
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if cl.size < cl.capacity {
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cl.size++
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}
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}
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func (cl *CallLogger) get(limit int) []CallRecord {
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cl.mu.RLock()
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defer cl.mu.RUnlock()
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if limit <= 0 || limit > cl.size {
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limit = cl.size
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}
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result := make([]CallRecord, limit)
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for i := 0; i < limit; i++ {
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idx := (cl.head - 1 - i) % cl.capacity
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if idx < 0 {
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idx += cl.capacity
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}
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result[i] = cl.records[idx]
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}
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return result
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}
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