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Mantém tokens de cache-write no formato de usage do OpenAI, com teste próprio (`cache-write-openai-shape.test.ts`) e atualização do teste existente de tokens detalhados. Validado no worktree combinado (typecheck limpo, 351/351 testes focados). Obrigado!
132 lines
6.0 KiB
TypeScript
132 lines
6.0 KiB
TypeScript
/**
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* Extract usage from non-streaming response body
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* Handles different provider response formats
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*/
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export function extractUsageFromResponse(responseBody, provider) {
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if (!responseBody || typeof responseBody !== "object") return null;
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const providerId = typeof provider === "string" ? provider.toLowerCase() : "";
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const isClaudeProvider =
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providerId === "claude" ||
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providerId === "anthropic" ||
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providerId.startsWith("anthropic-compatible");
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// OpenAI format (has prompt_tokens / completion_tokens)
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if (
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responseBody.usage &&
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typeof responseBody.usage === "object" &&
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responseBody.usage.prompt_tokens !== undefined
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) {
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const cacheCreationTokens =
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responseBody.usage.cache_creation_input_tokens ??
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responseBody.usage.prompt_tokens_details?.cache_creation_tokens ??
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responseBody.usage.input_tokens_details?.cache_creation_tokens ??
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responseBody.usage.prompt_tokens_details?.cache_write_tokens ??
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responseBody.usage.input_tokens_details?.cache_write_tokens ??
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responseBody.usage.cache_write_tokens;
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return {
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prompt_tokens: responseBody.usage.prompt_tokens || 0,
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completion_tokens: responseBody.usage.completion_tokens || 0,
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// DeepSeek native API uses flat prompt_cache_hit_tokens (NOT
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// prompt_tokens_details.cached_tokens). Fall back to it so V4 cache
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// gets surfaced into kanban call_logs alongside the OpenAI/Claude paths.
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cached_tokens:
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responseBody.usage.prompt_tokens_details?.cached_tokens ??
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responseBody.usage.input_tokens_details?.cached_tokens ??
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responseBody.usage.prompt_cache_hit_tokens ??
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responseBody.usage.cached_tokens ??
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responseBody.usage.cache_read_input_tokens,
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// Cache WRITE tokens. Anthropic models reached through an OpenAI-compatible
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// endpoint carry the count nested in prompt/input token details (see
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// translator/response/claude-to-openai.ts, #2215) or under the
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// `cache_write_tokens` alias used by OpenRouter/Devin/codex-chatgpt-web.
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// Reading only the flat Anthropic key made the dashboard show "Cache Write:
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// N/A" for the very same model that reports a real count natively.
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// Only emit the key when a provider actually reported one, so a provider
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// with no cache-write concept (plain gpt/codex) stays N/A instead of 0.
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...(cacheCreationTokens !== undefined
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? { cache_creation_input_tokens: cacheCreationTokens }
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: {}),
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reasoning_tokens:
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responseBody.usage.completion_tokens_details?.reasoning_tokens ??
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responseBody.usage.output_tokens_details?.reasoning_tokens ??
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responseBody.usage.reasoning_tokens,
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// xAI's exact provider-reported cost (port of decolua/9router#2453, capability A —
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// @ryanngit). Only set the key when present so non-xAI OpenAI-shaped usage
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// (Codex, DeepSeek, etc.) is unaffected. Ticks → USD conversion happens in
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// costCalculator.ts, not here.
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...(typeof responseBody.usage.cost_in_usd_ticks === "number" &&
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Number.isFinite(responseBody.usage.cost_in_usd_ticks) &&
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responseBody.usage.cost_in_usd_ticks >= 0
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? { cost_in_usd_ticks: responseBody.usage.cost_in_usd_ticks }
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: {}),
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};
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}
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// Claude format
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if (
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isClaudeProvider &&
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responseBody.usage &&
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typeof responseBody.usage === "object" &&
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(responseBody.usage.input_tokens !== undefined ||
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responseBody.usage.output_tokens !== undefined)
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) {
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const inputTokens = responseBody.usage.input_tokens || 0;
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const cacheRead = responseBody.usage.cache_read_input_tokens || 0;
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const cacheCreation = responseBody.usage.cache_creation_input_tokens || 0;
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// Total prompt tokens = input + cache_read + cache_creation (per Claude API docs)
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const promptTokens = inputTokens + cacheRead + cacheCreation;
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return {
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prompt_tokens: promptTokens,
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completion_tokens: responseBody.usage.output_tokens || 0,
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cache_read_input_tokens: cacheRead,
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cache_creation_input_tokens: cacheCreation,
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...(typeof responseBody.usage.output_tokens_details?.thinking_tokens === "number"
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? { reasoning_tokens: responseBody.usage.output_tokens_details.thinking_tokens }
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: {}),
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};
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}
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// OpenAI Responses API format (input_tokens / output_tokens)
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const responsesUsage = responseBody.response?.usage || responseBody.usage;
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if (
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responsesUsage &&
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typeof responsesUsage === "object" &&
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(responsesUsage.input_tokens !== undefined || responsesUsage.output_tokens !== undefined)
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) {
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return {
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prompt_tokens: responsesUsage.input_tokens || 0,
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completion_tokens: responsesUsage.output_tokens || 0,
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cache_read_input_tokens: responsesUsage.cache_read_input_tokens,
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cached_tokens:
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responsesUsage.input_tokens_details?.cached_tokens ??
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responsesUsage.prompt_tokens_details?.cached_tokens ??
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responsesUsage.cache_read_input_tokens,
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cache_creation_input_tokens: responsesUsage.cache_creation_input_tokens,
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reasoning_tokens:
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responsesUsage.output_tokens_details?.reasoning_tokens ??
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responsesUsage.completion_tokens_details?.reasoning_tokens ??
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responsesUsage.reasoning_tokens,
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};
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}
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// Gemini format. Antigravity / gemini-cli wrap the payload in
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// { response: { ... } } — read the envelope so non-streaming requests do
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// not silently log zero usage (port of decolua/9router#59d858b).
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const usageMetadata = responseBody.usageMetadata || responseBody.response?.usageMetadata;
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if (usageMetadata && typeof usageMetadata === "object") {
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// Gemini reports thoughts outside candidates. Fold them into completion so
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// every provider keeps reasoning as a subset of completion tokens.
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const thoughts = usageMetadata.thoughtsTokenCount || 0;
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return {
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prompt_tokens: usageMetadata.promptTokenCount || 0,
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completion_tokens: (usageMetadata.candidatesTokenCount || 0) + thoughts,
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cached_tokens: usageMetadata.cachedContentTokenCount || 0,
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reasoning_tokens: thoughts,
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};
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}
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return null;
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}
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