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Support OpenRouter's real per-request cost reporting
Send usage: { include: true } on every chat completion request (an
OpenRouter-specific extension - requires Usage Accounting enabled on
the OpenRouter account; other OpenAI-compatible providers generally
ignore unknown top-level request fields). When the response includes
OpenRouter's own usage.cost, forward it to Langfuse as
costDetails.total, so cost is the real per-request figure OpenRouter
billed rather than a guess from Langfuse's model price list (which
has no entry for proxied/aggregated OpenRouter model names anyway).
Verified: full suite (84/84) passing, tsc/eslint clean, docker
compose build succeeds. Per Langfuse's OpenRouter integration guide:
https://langfuse.com/integrations/gateways/openrouter
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@@ -73,11 +73,26 @@ describe('LangfuseTracer', () => {
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expect.objectContaining({
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output: 'done',
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usageDetails: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 },
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costDetails: undefined,
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})
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);
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expect(generationEnd).toHaveBeenCalledTimes(1);
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});
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it('forwards an explicit cost (e.g. from OpenRouter) as costDetails.total instead of relying on price-list lookup', () => {
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const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
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const handle = tracer.startTrace('my-pipeline');
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const gen = handle.startGeneration({ name: 'step-1', model: 'openrouter/auto', input: ['hi'] });
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gen.end({
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output: 'done',
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usage: { promptTokens: 10, completionTokens: 5, totalTokens: 15, cost: 0.00042 },
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});
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expect(generationUpdate).toHaveBeenCalledWith(
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expect.objectContaining({ costDetails: { total: 0.00042 } })
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);
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});
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it('maps cachedTokens to the OpenAI-native nested prompt_tokens_details.cached_tokens, not a mixed flat key', () => {
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const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
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const handle = tracer.startTrace('my-pipeline');
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