Worked on the OpenmindAGI/OM1 repository to deliver comprehensive unit test suites for LLM plugin integrations, focusing on the NearAI and QwenLLM plugins. Leveraging Python, pytest, and advanced mocking techniques, the developer implemented structured tests for plugin initialization, tool call parsing, and the ask() workflow, including robust error handling and performance metrics. The approach emphasized maintainability by cleaning up redundant code and ensuring clear assertions, while also enhancing CI readiness through coverage of edge cases and timing metrics. This work strengthened the reliability of production-grade LLM tooling and improved code quality, supporting faster and more dependable continuous integration feedback.