BerriAI/litellm
Apr 2026 – May 2026
2 Months active
Languages Used
PythonJavaScriptShellTypeScript
Technical Skills
API developmentAPI integrationAWS integrationasynchronous programmingbackend developmentnetwork programming
Yassin Kortam
PROFILE
Yassin Kortam
Worked on the BerriAI/litellm repository to deliver stability improvements, new routing capabilities, and deployment simplification over a two-month period. Enhanced long-lived connection reliability by adding configurable TCP keep-alive support for aiohttp and implemented AWS region name validation to prevent URL parsing errors. Improved Milvus vector store integration by refining parameter handling for backend consistency. Developed backend and UI features for routing group management, enabling selective routing by model name and per-group strategies. Consolidated health checks into the main application to streamline deployment. Utilized Python, FastAPI, and React, demonstrating depth in backend, frontend, and full stack development with robust unit testing.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
3
Lines of code
2,782
Activity Months2
Your Network
816 peopleWork History
May 2026
3 Commits • 2 Features
May 1, 2026May 2026 monthly summary for BerriAI/litellm focused on delivering routing capabilities and simplifying deployment health checks, with clear business and technical impact.
3 Commits • 2 Features
May 1, 2026May 2026 monthly summary for BerriAI/litellm focused on delivering routing capabilities and simplifying deployment health checks, with clear business and technical impact.
May 2026
April 2026
3 Commits • 1 Features
Apr 1, 2026Month 2026-04 — Delivered stability and correctness improvements for BerriAI/litellm. Key features include configurable TCP keep-alive support for aiohttp connections to improve long-lived connection stability and prevent premature NAT timeouts. Fixed multiple reliability issues: AWS region name validation to prevent URL parsing errors from malformed region identifiers; Milvus vector store configuration integrity by removing optional dbName and partitionNames from user-provided parameters to avoid overriding backend configurations and ensure correct search request body handling. These changes reduce operational risk, improve reliability in production deployments, and demonstrate solid skills in Python, asyncio, and vector store integration.
April 2026
3 Commits • 1 Features
Apr 1, 2026Month 2026-04 — Delivered stability and correctness improvements for BerriAI/litellm. Key features include configurable TCP keep-alive support for aiohttp connections to improve long-lived connection stability and prevent premature NAT timeouts. Fixed multiple reliability issues: AWS region name validation to prevent URL parsing errors from malformed region identifiers; Milvus vector store configuration integrity by removing optional dbName and partitionNames from user-provided parameters to avoid overriding backend configurations and ensure correct search request body handling. These changes reduce operational risk, improve reliability in production deployments, and demonstrate solid skills in Python, asyncio, and vector store integration.
Activity
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Quality Metrics
Correctness96.8%
Maintainability83.4%
Architecture86.8%
Performance83.4%
AI Usage23.4%
Skills & Technologies
Programming Languages
JavaScriptPythonShellTypeScript
Technical Skills
API developmentAPI integrationAWS integrationDockerFastAPIKubernetesNodePythonReactasynchronous programmingbackend developmentfront end developmentfull stack developmentnetwork programmingunit testing
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