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
Worked on the Shubhamsaboo/adk-python repository to enhance observability and security for LLM integrations. Developed telemetry features in Python, adding usage span attributes and tracking input and output token counts for LLM calls, with unit tests to validate accurate usage metadata reporting. Addressed a critical security concern by implementing backend validation to ensure the userId in API responses matched the provided userId, raising errors on mismatches to enforce session isolation. Leveraged skills in API integration, error handling, and OpenTelemetry to deliver improved monitoring and a stronger security posture, focusing on robust backend development and reliable telemetry instrumentation.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
58
Activity Months1
Your Network
113 peopleWork 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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