feat: Enhance usage tracking across response handlers

This commit is contained in:
decolua
2026-02-03 00:25:23 +07:00
parent c1e88a9d01
commit a33924b336
8 changed files with 299 additions and 66 deletions

View File

@@ -160,14 +160,56 @@ export function geminiToOpenAIResponse(chunk, state) {
}
}
// Finish reason
// Usage metadata - extract before finish reason so we can include it
const usageMeta = response.usageMetadata || chunk.usageMetadata;
if (usageMeta && typeof usageMeta === "object") {
const cachedTokens = typeof usageMeta.cachedContentTokenCount === "number" ? usageMeta.cachedContentTokenCount : 0;
const promptTokenCountRaw = typeof usageMeta.promptTokenCount === "number" ? usageMeta.promptTokenCount : 0;
const thoughtsTokens = typeof usageMeta.thoughtsTokenCount === "number" ? usageMeta.thoughtsTokenCount : 0;
let candidatesTokens = typeof usageMeta.candidatesTokenCount === "number" ? usageMeta.candidatesTokenCount : 0;
const totalTokens = typeof usageMeta.totalTokenCount === "number" ? usageMeta.totalTokenCount : 0;
// prompt_tokens = promptTokenCount (includes cached tokens, matching claude-to-openai.js behavior)
const promptTokens = promptTokenCountRaw;
// Fallback calculation if candidatesTokenCount is 0 but totalTokenCount exists
if (candidatesTokens === 0 && totalTokens > 0) {
candidatesTokens = totalTokens - promptTokenCountRaw - thoughtsTokens;
if (candidatesTokens < 0) candidatesTokens = 0;
}
// completion_tokens = candidatesTokenCount + thoughtsTokenCount (match Go code)
const completionTokens = candidatesTokens + thoughtsTokens;
state.usage = {
prompt_tokens: promptTokens,
completion_tokens: completionTokens,
total_tokens: totalTokens
};
// Add prompt_tokens_details if cached tokens exist
if (cachedTokens > 0) {
state.usage.prompt_tokens_details = {
cached_tokens: cachedTokens
};
}
// Add completion_tokens_details if reasoning tokens exist
if (thoughtsTokens > 0) {
state.usage.completion_tokens_details = {
reasoning_tokens: thoughtsTokens
};
}
}
// Finish reason - include usage in final chunk
if (candidate.finishReason) {
let finishReason = candidate.finishReason.toLowerCase();
if (finishReason === "stop" && state.toolCalls.size > 0) {
finishReason = "tool_calls";
}
results.push({
const finalChunk = {
id: `chatcmpl-${state.messageId}`,
object: "chat.completion.chunk",
created: Math.floor(Date.now() / 1000),
@@ -177,24 +219,15 @@ export function geminiToOpenAIResponse(chunk, state) {
delta: {},
finish_reason: finishReason
}]
});
state.finishReason = finishReason;
}
// Usage metadata
const usage = response.usageMetadata || chunk.usageMetadata;
if (usage && typeof usage === 'object') {
const promptTokens = (usage.promptTokenCount || 0) + (usage.thoughtsTokenCount || 0);
state.usage = {
prompt_tokens: promptTokens,
completion_tokens: usage.candidatesTokenCount || 0,
total_tokens: usage.totalTokenCount || 0
};
if (usage.thoughtsTokenCount > 0) {
state.usage.completion_tokens_details = {
reasoning_tokens: usage.thoughtsTokenCount
};
// Include usage in final chunk for downstream translators
if (state.usage) {
finalChunk.usage = state.usage;
}
results.push(finalChunk);
state.finishReason = finishReason;
}
return results.length > 0 ? results : null;