BerriAI/litellm
Jul 2026 – Jul 2026
1 Month active
Languages Used
No languages
Technical Skills
API DevelopmentAnt DesignBackend DevelopmentCSSFastAPIFrontend Development
Thibault Serot
PROFILE
Thibault Serot
Worked on the BerriAI/litellm repository to deliver analytics and reliability improvements across both frontend and backend systems. Developed enhanced session and spend log analysis features, including UI-driven sorting and end-to-end session_id filtering, enabling more efficient navigation and diagnosis of system activity. Strengthened gateway interactions by addressing response encoding, error surfacing, and regression test coverage, which improved robustness in streaming and tool turn handling. Leveraged technologies such as React, FastAPI, and TypeScript to implement responsive UI refinements, backend API integrations, and comprehensive testing. The work focused on reducing diagnostic time, improving data insights, and increasing overall system reliability.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
2
Lines of code
737
Activity Months1
Your Network
796 peopleSame Organization
@linktr.ee1
Work History
July 2026
9 Commits • 2 Features
Jul 1, 2026In July 2026, delivered analytics and reliability improvements for BerriAI/litellm, focusing on enhanced session/spend log analysis and robust gateway interactions. Implemented UI-driven session logs sorting with duration-based and grouped/chronological modes, added end-to-end session_id filtering for spend logs, and hardened MCP gateway response handling with regression tests. These workstreams reduce time to diagnose issues, improve data-driven insights, and increase system robustness across frontend, backend, and streaming subsystems.
9 Commits • 2 Features
Jul 1, 2026In July 2026, delivered analytics and reliability improvements for BerriAI/litellm, focusing on enhanced session/spend log analysis and robust gateway interactions. Implemented UI-driven session logs sorting with duration-based and grouped/chronological modes, added end-to-end session_id filtering for spend logs, and hardened MCP gateway response handling with regression tests. These workstreams reduce time to diagnose issues, improve data-driven insights, and increase system robustness across frontend, backend, and streaming subsystems.
July 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability91.0%
Architecture86.6%
Performance86.6%
AI Usage71.2%
Skills & Technologies
Programming Languages
No languages yet
Technical Skills
API DevelopmentAnt DesignBackend DevelopmentCSSFastAPIFrontend DevelopmentFullstack DevelopmentPytestPythonReactSQLTestingTypeScriptUnit TestingVitest
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