Shubhamsaboo/openllmetry
Jan 2025 – Mar 2025
3 Months active
Languages Used
Python
Technical Skills
AI ObservabilityCrewAIInstrumentationOpenTelemetryPythonLLM
Adharsh
PROFILE
Adharsh
Adharsh worked on enhancing observability for AI and LLM workflows in the Shubhamsaboo/openllmetry repository over a three-month period. He implemented OpenTelemetry-based instrumentation for CrewAI, Bedrock, and Ollama, enabling detailed tracing and metrics collection across agents, tasks, and LLM calls. Using Python, he introduced histogram-based metrics for token usage and operation durations, improving performance monitoring and incident diagnosis. His work unified telemetry for AWS Bedrock imported models with accurate model ID attribution and extended Groq and Ollama instrumentation for granular operational insight. The depth of his contributions established a robust foundation for data-driven monitoring and future observability expansion.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
10,843
Activity Months3
Your Network
1 personShared Repositories
1
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Delivered unified observability enhancements for Bedrock and Ollama telemetry in openllmetry. Bedrock instrumentation now collects traces and metrics from imported models with improved model ID attribution; Ollama instrumentation adds token usage and operation duration histograms for detailed performance monitoring (collection-enabled).
2 Commits • 1 Features
Mar 1, 2025March 2025: Delivered unified observability enhancements for Bedrock and Ollama telemetry in openllmetry. Bedrock instrumentation now collects traces and metrics from imported models with improved model ID attribution; Ollama instrumentation adds token usage and operation duration histograms for detailed performance monitoring (collection-enabled).
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Shubhamsaboo/openllmetry focused on improving LLM observability and operational insight. Delivered instrumentation enhancements for CrewAI and Groq that enable data-driven performance optimization and faster incident response, with a concrete fix to ensure metric accuracy.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Shubhamsaboo/openllmetry focused on improving LLM observability and operational insight. Delivered instrumentation enhancements for CrewAI and Groq that enable data-driven performance optimization and faster incident response, with a concrete fix to ensure metric accuracy.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered CrewAI Observability with OpenTelemetry instrumentation in Shubhamsaboo/openllmetry. Implemented initial tracing across agents, tasks, crews, and LLM calls within CrewAI workflows, establishing end-to-end visibility, enabling faster incident diagnosis, and laying groundwork for metrics/logs integration.
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered CrewAI Observability with OpenTelemetry instrumentation in Shubhamsaboo/openllmetry. Implemented initial tracing across agents, tasks, crews, and LLM calls within CrewAI workflows, establishing end-to-end visibility, enabling faster incident diagnosis, and laying groundwork for metrics/logs integration.
January 2025
Activity
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Quality Metrics
Correctness94.0%
Maintainability94.0%
Architecture94.0%
Performance88.0%
AI Usage36.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI ObservabilityCloud Services (AWS Bedrock)CrewAIInstrumentationLLMLLM MonitoringLLM ObservabilityLLM OperationsMetrics CollectionObservabilityOpenTelemetryPython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline