Shubhamsaboo/openllmetry
Jan 2025 – Mar 2025
3 Months active
Languages Used
Python
Technical Skills
AI ObservabilityCrewAIInstrumentationOpenTelemetryPythonLLM
Adharsh
PROFILE
Adharsh
Adharsh worked on enhancing AI observability and monitoring for CrewAI, Groq, Bedrock, and Ollama within the Shubhamsaboo/openllmetry repository over a three-month period. He implemented OpenTelemetry-based instrumentation in Python to collect traces and metrics across agents, tasks, and LLM calls, enabling end-to-end visibility and faster incident diagnosis. His work included histogram-based metrics for token usage and operation durations, as well as improved model ID attribution for Bedrock. By unifying observability across multiple LLM platforms and cloud services, Adharsh established a robust foundation for data-driven performance tuning and operational insight, demonstrating depth in instrumentation and metrics collection.
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
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