mirror of
https://github.com/tiennm99/goclaw.git
synced 2026-06-10 22:11:08 +00:00
viettranx
50a42ad110
- Lead agents: auto-resolve team workspace as default (relative paths) - Dispatched members: team workspace as default via req.TeamWorkspace - Direct-chat members: own workspace default, team workspace accessible - Add dataDir field to Loop/LoopConfig for global workspace root - System prompt shows team workspace absolute path for model guidance - Remove orphan task detector (superseded by post-turn dispatch) - Log warning on OpenAI tool call argument parse failures
389 lines
12 KiB
Go
389 lines
12 KiB
Go
package agent
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import (
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"context"
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"encoding/json"
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"fmt"
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"strings"
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"time"
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"unicode/utf8"
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"github.com/google/uuid"
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"github.com/nextlevelbuilder/goclaw/internal/providers"
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"github.com/nextlevelbuilder/goclaw/internal/store"
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"github.com/nextlevelbuilder/goclaw/internal/tools"
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"github.com/nextlevelbuilder/goclaw/internal/tracing"
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)
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func (l *Loop) emit(event AgentEvent) {
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if l.onEvent != nil {
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l.onEvent(event)
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}
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}
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// ID returns the agent's identifier.
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func (l *Loop) ID() string { return l.id }
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// Model returns the model identifier for this agent loop.
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func (l *Loop) Model() string { return l.model }
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// IsRunning returns whether the agent is currently processing.
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func (l *Loop) IsRunning() bool { return l.activeRuns.Load() > 0 }
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// ---------------------------------------------------------------------------
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// Two-phase LLM span: start (running) + end (completed/error)
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// ---------------------------------------------------------------------------
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// emitLLMSpanStart emits a "running" LLM span before the LLM call begins.
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// Returns the span ID so the caller can later call emitLLMSpanEnd to finalize it.
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// Goroutine-safe: only reads immutable Loop fields and does a channel send.
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func (l *Loop) emitLLMSpanStart(ctx context.Context, start time.Time, iteration int, messages []providers.Message) uuid.UUID {
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collector := tracing.CollectorFromContext(ctx)
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traceID := tracing.TraceIDFromContext(ctx)
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if collector == nil || traceID == uuid.Nil {
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return uuid.Nil
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}
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spanID := store.GenNewID()
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span := store.SpanData{
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ID: spanID,
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TraceID: traceID,
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SpanType: store.SpanTypeLLMCall,
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Name: fmt.Sprintf("%s/%s #%d", l.provider.Name(), l.model, iteration),
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StartTime: start,
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Status: store.SpanStatusRunning,
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Level: store.SpanLevelDefault,
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Model: l.model,
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Provider: l.provider.Name(),
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CreatedAt: start,
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}
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if parentID := tracing.ParentSpanIDFromContext(ctx); parentID != uuid.Nil {
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span.ParentSpanID = &parentID
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}
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if l.agentUUID != uuid.Nil {
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span.AgentID = &l.agentUUID
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}
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span.TeamID = tracing.TraceTeamIDPtrFromContext(ctx)
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// Verbose mode: include input messages (same stripping as emitLLMSpan).
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if collector.Verbose() && len(messages) > 0 {
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stripped := make([]providers.Message, len(messages))
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copy(stripped, messages)
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for i := range stripped {
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if len(stripped[i].Images) > 0 {
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placeholder := make([]providers.ImageContent, len(stripped[i].Images))
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for j, img := range stripped[i].Images {
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placeholder[j] = providers.ImageContent{MimeType: img.MimeType, Data: fmt.Sprintf("[base64 %s, %d bytes]", img.MimeType, len(img.Data))}
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}
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stripped[i].Images = placeholder
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}
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}
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if b, err := json.Marshal(stripped); err == nil {
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span.InputPreview = truncateStr(string(b), 100000)
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}
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}
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collector.EmitSpan(span)
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return spanID
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}
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// emitLLMSpanEnd finalizes a running LLM span with results.
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// Uses EmitSpanUpdate (channel send) — does NOT depend on ctx being alive,
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// so it works correctly even after ctx cancellation or deadline exceeded.
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func (l *Loop) emitLLMSpanEnd(ctx context.Context, spanID uuid.UUID, start time.Time, resp *providers.ChatResponse, callErr error) {
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if spanID == uuid.Nil {
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return // tracing disabled — no running span was emitted
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}
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collector := tracing.CollectorFromContext(ctx)
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traceID := tracing.TraceIDFromContext(ctx)
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if collector == nil || traceID == uuid.Nil {
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return
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}
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now := time.Now().UTC()
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updates := map[string]any{
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"end_time": now,
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"duration_ms": int(now.Sub(start).Milliseconds()),
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"status": store.SpanStatusCompleted,
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}
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if callErr != nil {
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updates["status"] = store.SpanStatusError
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updates["error"] = callErr.Error()
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} else if resp != nil {
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if resp.Usage != nil {
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updates["input_tokens"] = resp.Usage.PromptTokens
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updates["output_tokens"] = resp.Usage.CompletionTokens
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hasMeta := resp.Usage.CacheCreationTokens > 0 || resp.Usage.CacheReadTokens > 0 || resp.Usage.ThinkingTokens > 0
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if hasMeta {
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meta := map[string]int{}
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if resp.Usage.CacheCreationTokens > 0 {
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meta["cache_creation_tokens"] = resp.Usage.CacheCreationTokens
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}
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if resp.Usage.CacheReadTokens > 0 {
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meta["cache_read_tokens"] = resp.Usage.CacheReadTokens
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}
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if resp.Usage.ThinkingTokens > 0 {
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meta["thinking_tokens"] = resp.Usage.ThinkingTokens
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}
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if b, err := json.Marshal(meta); err == nil {
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updates["metadata"] = b
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}
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}
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}
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// Calculate cost if pricing config is available.
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if pricing := tracing.LookupPricing(l.modelPricing, l.provider.Name(), l.model); pricing != nil {
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cost := tracing.CalculateCost(pricing, resp.Usage)
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if cost > 0 {
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updates["total_cost"] = cost
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}
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}
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updates["finish_reason"] = resp.FinishReason
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verbose := collector.Verbose()
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if verbose {
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preview := resp.Content
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if resp.Thinking != "" {
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preview = "<thinking>\n" + resp.Thinking + "\n</thinking>\n" + resp.Content
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}
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updates["output_preview"] = truncateStr(preview, 100000)
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} else {
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updates["output_preview"] = truncateStr(resp.Content, 500)
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}
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}
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collector.EmitSpanUpdate(spanID, traceID, updates)
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}
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// ---------------------------------------------------------------------------
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// Two-phase tool span: start (running) + end (completed/error)
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// ---------------------------------------------------------------------------
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// emitToolSpanStart emits a "running" tool span before tool execution begins.
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// Returns the span ID so the caller can later call emitToolSpanEnd to finalize it.
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// Goroutine-safe: only reads immutable Loop fields and does a channel send.
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func (l *Loop) emitToolSpanStart(ctx context.Context, start time.Time, toolName, toolCallID, input string) uuid.UUID {
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collector := tracing.CollectorFromContext(ctx)
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traceID := tracing.TraceIDFromContext(ctx)
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if collector == nil || traceID == uuid.Nil {
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return uuid.Nil
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}
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previewLimit := 500
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if collector.Verbose() {
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previewLimit = 100000
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}
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spanID := store.GenNewID()
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span := store.SpanData{
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ID: spanID,
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TraceID: traceID,
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SpanType: store.SpanTypeToolCall,
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Name: toolName,
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StartTime: start,
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ToolName: toolName,
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ToolCallID: toolCallID,
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InputPreview: truncateStr(input, previewLimit),
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Status: store.SpanStatusRunning,
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Level: store.SpanLevelDefault,
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CreatedAt: start,
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}
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if parentID := tracing.ParentSpanIDFromContext(ctx); parentID != uuid.Nil {
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span.ParentSpanID = &parentID
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}
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if l.agentUUID != uuid.Nil {
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span.AgentID = &l.agentUUID
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}
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span.TeamID = tracing.TraceTeamIDPtrFromContext(ctx)
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collector.EmitSpan(span)
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return spanID
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}
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// emitToolSpanEnd finalizes a running tool span with execution results.
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// Uses EmitSpanUpdate (channel send) — safe after ctx cancellation.
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// Goroutine-safe: only does a channel send via EmitSpanUpdate.
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func (l *Loop) emitToolSpanEnd(ctx context.Context, spanID uuid.UUID, start time.Time, result *tools.Result) {
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if spanID == uuid.Nil {
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return // tracing disabled
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}
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collector := tracing.CollectorFromContext(ctx)
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traceID := tracing.TraceIDFromContext(ctx)
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if collector == nil || traceID == uuid.Nil {
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return
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}
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now := time.Now().UTC()
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previewLimit := 500
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if collector.Verbose() {
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previewLimit = 100000
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}
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updates := map[string]any{
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"end_time": now,
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"duration_ms": int(now.Sub(start).Milliseconds()),
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"status": store.SpanStatusCompleted,
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"output_preview": truncateStr(result.ForLLM, previewLimit),
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}
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if result.IsError {
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updates["status"] = store.SpanStatusError
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updates["error"] = truncateStr(result.ForLLM, 200)
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}
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// Record token usage from tools that make internal LLM calls (e.g. read_image).
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if result.Usage != nil {
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updates["input_tokens"] = result.Usage.PromptTokens
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updates["output_tokens"] = result.Usage.CompletionTokens
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updates["provider"] = result.Provider
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updates["model"] = result.Model
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if result.Usage.CacheCreationTokens > 0 || result.Usage.CacheReadTokens > 0 {
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meta := map[string]int{
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"cache_creation_tokens": result.Usage.CacheCreationTokens,
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"cache_read_tokens": result.Usage.CacheReadTokens,
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}
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if b, err := json.Marshal(meta); err == nil {
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updates["metadata"] = b
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}
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}
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// Calculate cost for tool's internal LLM calls.
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provider := result.Provider
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model := result.Model
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if pricing := tracing.LookupPricing(l.modelPricing, provider, model); pricing != nil {
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cost := tracing.CalculateCost(pricing, result.Usage)
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if cost > 0 {
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updates["total_cost"] = cost
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}
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}
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}
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collector.EmitSpanUpdate(spanID, traceID, updates)
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}
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// ---------------------------------------------------------------------------
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// Two-phase agent span: start (running) + end (completed/error)
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// ---------------------------------------------------------------------------
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// emitAgentSpanStart emits a "running" root agent span at the beginning of a run.
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// The span is identified by agentSpanID (pre-generated, same ID used as ParentSpanID
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// for child LLM/tool spans).
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func (l *Loop) emitAgentSpanStart(ctx context.Context, agentSpanID uuid.UUID, start time.Time, inputPreview string) {
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collector := tracing.CollectorFromContext(ctx)
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traceID := tracing.TraceIDFromContext(ctx)
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if collector == nil || traceID == uuid.Nil {
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return
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}
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previewLimit := 500
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if collector.Verbose() {
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previewLimit = 100000
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}
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spanName := l.id
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span := store.SpanData{
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ID: agentSpanID,
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TraceID: traceID,
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SpanType: store.SpanTypeAgent,
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Name: spanName,
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StartTime: start,
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Status: store.SpanStatusRunning,
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Level: store.SpanLevelDefault,
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Model: l.model,
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Provider: l.provider.Name(),
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InputPreview: truncateStr(inputPreview, previewLimit),
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CreatedAt: start,
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}
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// Nest under parent root span if this is an announce run.
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if announceParent := tracing.AnnounceParentSpanIDFromContext(ctx); announceParent != uuid.Nil {
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span.ParentSpanID = &announceParent
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span.Name = "announce:" + spanName
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}
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if l.agentUUID != uuid.Nil {
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span.AgentID = &l.agentUUID
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}
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span.TeamID = tracing.TraceTeamIDPtrFromContext(ctx)
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collector.EmitSpan(span)
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}
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// emitAgentSpanEnd finalizes the running root agent span with results.
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// Uses EmitSpanUpdate (channel send) — safe after ctx cancellation.
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func (l *Loop) emitAgentSpanEnd(ctx context.Context, agentSpanID uuid.UUID, start time.Time, result *RunResult, runErr error) {
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if agentSpanID == uuid.Nil {
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return
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}
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collector := tracing.CollectorFromContext(ctx)
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traceID := tracing.TraceIDFromContext(ctx)
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if collector == nil || traceID == uuid.Nil {
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return
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}
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now := time.Now().UTC()
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updates := map[string]any{
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"end_time": now,
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"duration_ms": int(now.Sub(start).Milliseconds()),
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"status": store.SpanStatusCompleted,
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}
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if runErr != nil {
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updates["status"] = store.SpanStatusError
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updates["error"] = runErr.Error()
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} else if result != nil {
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limit := 500
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if collector.Verbose() {
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limit = 100000
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}
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updates["output_preview"] = truncateStr(result.Content, limit)
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// Note: token counts are NOT set on agent spans to avoid double-counting
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// with child llm_call spans. Trace aggregation sums only llm_call spans.
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}
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collector.EmitSpanUpdate(agentSpanID, traceID, updates)
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}
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func truncateStr(s string, maxLen int) string {
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s = strings.ToValidUTF8(s, "")
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if len(s) <= maxLen {
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return s
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}
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// Don't cut in the middle of a multi-byte rune
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for maxLen > 0 && !utf8.RuneStart(s[maxLen]) {
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maxLen--
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}
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return s[:maxLen] + "..."
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}
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// EstimateTokens returns a rough token estimate for a slice of messages.
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// Used internally for summarization thresholds and externally for adaptive throttle.
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func EstimateTokens(messages []providers.Message) int {
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total := 0
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for _, m := range messages {
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total += utf8.RuneCountInString(m.Content) / 3
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}
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return total
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}
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// EstimateTokensWithCalibration uses actual prompt tokens from the last LLM
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// response as a calibration base, then estimates only new messages on top.
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// Falls back to EstimateTokens() when no calibration data is available.
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func EstimateTokensWithCalibration(messages []providers.Message, lastPromptTokens, lastMsgCount int) int {
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if lastPromptTokens <= 0 || lastMsgCount <= 0 {
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return EstimateTokens(messages)
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}
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currentCount := len(messages)
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newMsgs := currentCount - lastMsgCount
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if newMsgs <= 0 {
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// No new messages since last calibration (or history was truncated).
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// Use calibration value as-is; it's the best estimate we have.
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return lastPromptTokens
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}
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// Estimate only the new messages with the heuristic and add to base.
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delta := 0
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for _, m := range messages[lastMsgCount:] {
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delta += utf8.RuneCountInString(m.Content) / 3
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}
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return lastPromptTokens + delta
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}
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