
Worked on the langchain-ai/docs repository to deliver a targeted documentation fix that corrected the trajectory evaluation sample code, ensuring it accurately reflected the current API by replacing 'judge_with_reference' with 'evaluator'. This update improved the onboarding experience for developers and reduced the likelihood of user confusion or unnecessary support requests. The contribution demonstrated proficiency in technical writing and documentation using Markdown, as well as familiarity with Python code samples and Git-based workflows. By adhering to quick-edit contribution guidelines and clearly documenting the testing approach, the work maintained high documentation quality while streamlining the update process for the broader developer community.
January 2026: Delivered a critical documentation correction that aligns the trajectory evaluation sample with the actual implementation, improving developer onboarding and reducing potential user confusion and support queries.
January 2026: Delivered a critical documentation correction that aligns the trajectory evaluation sample with the actual implementation, improving developer onboarding and reducing potential user confusion and support queries.

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