feat(openai): add openrouter cost tracking #1311
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When setting cost_details, consider supporting cases where usage is a dict (as _parse_usage does) rather than relying solely on attribute access.
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Important
Adds cost tracking for OpenRouter in Langfuse OpenAI integration by updating
_create_langfuse_update()and introducing_parse_cost()inlangfuse/openai.py.langfuse/openai.pyby updating_create_langfuse_update()to includecost_details._parse_cost()to extract cost fromusageif available._create_langfuse_update()now calls_parse_cost()to addcost_detailsto the update._parse_cost()checks forcostattribute inusageand returns it if it's a float.This description was created by
for 7ca7ff0. You can customize this summary. It will automatically update as commits are pushed.
Disclaimer: Experimental PR review
Greptile Summary
This PR adds cost tracking support for OpenRouter API usage in Langfuse's OpenAI integration. The change introduces a new
_parse_cost()function that extracts cost information from OpenRouter's usage response and integrates it into the existing generation update workflow.The implementation is straightforward: it checks if the usage object has a
costattribute (which OpenRouter provides as the total USD cost of the API call) and maps it to thecost_details.totalfield in the generation update. This follows OpenRouter's documented API format where cost is provided directly as a float value, unlike standard OpenAI responses that require model pricing lookups.The change integrates cleanly with the existing usage parsing infrastructure in
langfuse/openai.py. The cost parsing is called alongside the existing_parse_usage()function at line 497, maintaining consistency with the current architecture. This allows users to see actual costs in Langfuse when using OpenRouter models without needing to manually configure custom model definitions for cost tracking.Confidence score: 5/5