Shubhamsaboo/adk-python
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentError HandlingLLM IntegrationOpenTelemetryTelemetry
Keisuke Oohashi
PROFILE
Keisuke Oohashi
During June 2025, Keisuke Oohashi enhanced the Shubhamsaboo/adk-python repository by delivering telemetry improvements for LLM usage and addressing a critical security issue. He implemented detailed usage span attributes and input/output token tracking, leveraging Python and OpenTelemetry to provide granular observability into LLM calls. His approach included robust unit testing to validate accurate reporting of usage metadata. Additionally, Keisuke strengthened session isolation by ensuring the API response userId matched the provided userId, raising a ValueError on mismatch to prevent unauthorized access. This work demonstrated depth in backend development, error handling, and API integration, resulting in improved monitoring and security.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
58
Activity Months1
Your Network
111 people
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for Shubhamsaboo/adk-python. Delivered telemetry enhancements for LLM usage and a critical security bug fix, driving improved observability and session safety. Implemented usage span attributes and input/output token tracking with a test validating usage metadata reporting. Fixed a security issue by validating that the API response userId matches the provided userId and raising ValueError on mismatch to prevent access to other users' sessions. Business value: improved LLM call visibility, better monitoring, and stronger security posture.
2 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for Shubhamsaboo/adk-python. Delivered telemetry enhancements for LLM usage and a critical security bug fix, driving improved observability and session safety. Implemented usage span attributes and input/output token tracking with a test validating usage metadata reporting. Fixed a security issue by validating that the API response userId matches the provided userId and raising ValueError on mismatch to prevent access to other users' sessions. Business value: improved LLM call visibility, better monitoring, and stronger security posture.
June 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBackend DevelopmentError HandlingLLM IntegrationOpenTelemetryTelemetryUnit Testing
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