added correct reasoning token stats
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@@ -857,7 +857,13 @@ type Usage struct {
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CachedTokens int `json:"cached_tokens"`
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} `json:"prompt_tokens_details"`
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CachedTokens int `json:"cached_tokens"`
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Model string `json:"-"`
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// ContextTokens is a local estimate of the total tokens occupying the context
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// window for this sample, including any reasoning_content that is resent as
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// part of the context. It acts as a floor beneath PromptTokens so reasoning
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// tokens are always counted in the context window statistics even when the
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// provider under-reports prompt_tokens.
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ContextTokens int `json:"-"`
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Model string `json:"-"`
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}
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func (u Usage) Cached() int {
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@@ -882,26 +888,39 @@ func estTokens(msgs []Message) int {
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return t
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}
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// ctxTokens returns the number of tokens occupying the context window for a
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// usage sample. We prefer the provider's reported prompt token count, but never
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// go below a local estimate of the messages we actually sent (which includes any
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// reasoning_content resent as context) so reasoning tokens are always counted in
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// the context window statistics.
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func ctxTokens(u Usage) int {
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if u.ContextTokens > u.PromptTokens {
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return u.ContextTokens
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}
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return u.PromptTokens
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}
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func contextPct(u Usage, cw int) float64 {
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if cw <= 0 { cw = 262144 }
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return float64(u.PromptTokens) * 100.0 / float64(cw)
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return float64(ctxTokens(u)) * 100.0 / float64(cw)
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}
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func formatUsage(u Usage, cw int) string {
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pct := contextPct(u, cw)
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base := ctxTokens(u)
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pct := float64(base) * 100.0 / float64(cw)
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cached := u.Cached()
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if cached > 0 {
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uncached := u.PromptTokens - cached
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if uncached < 0 { uncached = 0 }
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if u.Model != "" {
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return fmt.Sprintf("[%s: %d prompt (%d cached, %d uncached) + %d completion | context: %d/%d (%.1f%%)]", u.Model, u.PromptTokens, cached, uncached, u.CompletionTokens, u.PromptTokens, cw, pct)
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return fmt.Sprintf("[%s: %d prompt (%d cached, %d uncached) + %d completion | context: %d/%d (%.1f%%)]", u.Model, u.PromptTokens, cached, uncached, u.CompletionTokens, base, cw, pct)
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}
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return fmt.Sprintf("[%d prompt (%d cached, %d uncached) + %d completion | context: %d/%d (%.1f%%)]", u.PromptTokens, cached, uncached, u.CompletionTokens, u.PromptTokens, cw, pct)
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return fmt.Sprintf("[%d prompt (%d cached, %d uncached) + %d completion | context: %d/%d (%.1f%%)]", u.PromptTokens, cached, uncached, u.CompletionTokens, base, cw, pct)
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}
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if u.Model != "" {
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return fmt.Sprintf("[%s: %d prompt + %d completion | context: %d/%d (%.1f%%)]", u.Model, u.PromptTokens, u.CompletionTokens, u.PromptTokens, cw, pct)
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return fmt.Sprintf("[%s: %d prompt + %d completion | context: %d/%d (%.1f%%)]", u.Model, u.PromptTokens, u.CompletionTokens, base, cw, pct)
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}
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return fmt.Sprintf("[%d prompt + %d completion | context: %d/%d (%.1f%%)]", u.PromptTokens, u.CompletionTokens, u.PromptTokens, cw, pct)
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return fmt.Sprintf("[%d prompt + %d completion | context: %d/%d (%.1f%%)]", u.PromptTokens, u.CompletionTokens, base, cw, pct)
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}
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type streamDelta struct {
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@@ -1078,6 +1097,9 @@ func llm(ctx context.Context, cfg *Cfg, msgs []Message, tools []map[string]any)
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if m.ReasoningContent == "" { m.ReasoningContent = cr.Choices[0].Message.Thought }
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u := cr.Usage
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if cr.Model != "" { u.Model = cr.Model }
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// Local estimate of the full context (including any resent reasoning) so it
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// is counted in the context window statistics as a floor under prompt_tokens.
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u.ContextTokens = estTokens(msgs)
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if u.PromptTokens == 0 {
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u.PromptTokens = estTokens(msgs)
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u.CompletionTokens = estTokens([]Message{m})
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@@ -1091,6 +1113,11 @@ func llm(ctx context.Context, cfg *Cfg, msgs []Message, tools []map[string]any)
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u.CompletionTokens = estTokens([]Message{m})
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u.TotalTokens = u.PromptTokens + u.CompletionTokens
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}
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if err == nil {
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// Local estimate of the full context (including any resent reasoning) so it
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// is counted in the context window statistics as a floor under prompt_tokens.
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u.ContextTokens = estTokens(msgs)
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}
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return m, u, err
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}
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@@ -1327,6 +1354,9 @@ func AL(ctx context.Context, cfg *Cfg, msgs []Message) ([]Message, Usage, error)
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turnUsage.PromptTokens = u.PromptTokens
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turnUsage.CompletionTokens += u.CompletionTokens
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turnUsage.TotalTokens += u.TotalTokens
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// The last call sends the full conversation, so its context estimate is the
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// authoritative one for the turn's context window statistics.
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turnUsage.ContextTokens = u.ContextTokens
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if u.Cached() > 0 { turnUsage.CachedTokens = u.Cached() }
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if u.Model != "" { turnUsage.Model = u.Model }
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for j := range m.ToolCalls {
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@@ -2217,7 +2247,7 @@ func main() {
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fmt.Println(c(formatUsage(usg, cfg.ContextWindow), 2))
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pct := contextPct(usg, cfg.ContextWindow)
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if pct >= 60.0 && len(msgs) > 1 {
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fmt.Print(c(fmt.Sprintf("Context usage is at %.1f%% (%d / %d tokens). Compact conversation? [Y/n]: ", pct, usg.PromptTokens, cfg.ContextWindow), 33))
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fmt.Print(c(fmt.Sprintf("Context usage is at %.1f%% (%d / %d tokens). Compact conversation? [Y/n]: ", pct, ctxTokens(usg), cfg.ContextWindow), 33))
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if ans, ok := readPlain(""); ok {
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ans = strings.TrimSpace(strings.ToLower(ans))
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if ans == "" || ans == "y" || ans == "yes" {
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