Worked on the crewAIInc/crewAI repository to deliver integration of the Tavily Research Tool, enabling CrewAI agents to perform multi-step research tasks and generate cited reports through the Tavily Research API. Focused on robust API development and integration using Python and JSON, while expanding multilingual documentation to support English, Arabic, Korean, and Portuguese. Improved installation guidance and refined version constraints in pyproject.toml to ensure reproducible builds. Stabilized continuous integration workflows for research functionality, addressing dependency and build hygiene. The work emphasized documentation-driven enablement, allowing developers to leverage research workflows more reliably and retrieve research task statuses within CrewAI environments.