{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/34587e618c5c47c0b0d67b4e4d02718f\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/34587e618c5c47c0b0d67b4e4d02718f-b56c71f82478781d.gif","duration":156.571,"title":"LiteLLM Demo - Responses API + MCP Gateway","description":"In this video, I demonstrate how to use MCP tools with the LightElem APIs, specifically focusing on the responses API and the Gemini model. I walk you through making a curl request to fetch data from our onboarded MCPs, DeepWiki and GitMCP, and show how to swap between different models like Bedrock. Additionally, I provide a Python example using the OpenAI SDK to illustrate how to execute requests and stream responses. I encourage you to explore these tools and try out the examples provided. Please make sure to familiarize yourself with the API functionalities for better integration into your projects."}