traceloop/openllmetry
Mar 2026 – Apr 2026
2 Months active
Languages Used
Python
Technical Skills
AI IntegrationAI integrationAPI developmentAPI integrationBackend DevelopmentOpenTelemetry
max-deygin-traceloop
PROFILE
Max-deygin-traceloop
Contributed to traceloop/openllmetry by developing and standardizing GenAI telemetry instrumentation, focusing on adopting OpenTelemetry GenAI semantic conventions across multiple AI integrations. Leveraged Python and backend development skills to migrate span attributes, ensure backward compatibility with legacy telemetry, and enhance observability for OpenAI, Anthropic, and LlamaIndex integrations. Addressed data consistency by fixing finish_reason population, improving reliability in telemetry pipelines. Collaborated across teams to release semconv-aligned updates, enabling structured monitoring and future-proofing data processing. Emphasized robust API integration, data validation, and unit testing practices, resulting in improved monitoring, standardized data serialization, and more maintainable AI observability workflows within the repository.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
2
Lines of code
110,246
Activity Months2
Your Network
39 peopleSame Organization
@traceloop.com3
Work History
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for traceloop/openllmetry focusing on OpenTelemetry integration improvements for GenAI telemetry. Key outputs included bug fix for finish_reason population and new observability features aligning with GenAI semantic conventions, delivering tangible business value and improved telemetry reliability.
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for traceloop/openllmetry focusing on OpenTelemetry integration improvements for GenAI telemetry. Key outputs included bug fix for finish_reason population and new observability features aligning with GenAI semantic conventions, delivering tangible business value and improved telemetry reliability.
April 2026
March 2026
7 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for traceloop/openllmetry: Focused on GenAI semantic conventions adoption and telemetry standardization across AI instrumentations with backward compatibility to legacy attributes. Implemented migration of span attributes to OpenTelemetry GenAI conventions and released semconv-aligned updates across multiple instrumentation packages to improve observability, consistency, and future-proof telemetry data.
March 2026
7 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for traceloop/openllmetry: Focused on GenAI semantic conventions adoption and telemetry standardization across AI instrumentations with backward compatibility to legacy attributes. Implemented migration of span attributes to OpenTelemetry GenAI conventions and released semconv-aligned updates across multiple instrumentation packages to improve observability, consistency, and future-proof telemetry data.
Activity
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Quality Metrics
Correctness96.0%
Maintainability82.0%
Architecture92.0%
Performance82.0%
AI Usage58.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI IntegrationAI integrationAPI developmentAPI integrationBackend DevelopmentOpenTelemetryPythonPython DevelopmentSoftware Testingbackend developmentdata processingdata serializationdata validationobservabilitytesting
Repositories Contributed To
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