{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3dc650ad3ec74d3eb33a192474e0842e\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3dc650ad3ec74d3eb33a192474e0842e-1b0aa85ef1d4d16b-full.jpg","duration":235.508924,"title":"Poolside with Cline","description":"This Loom explains how to set up Cline with Poolside models using Poolside Inference and then using OpenRouter. It walks through configuring OpenAI compatible settings in Visual Studio Code by using the Poolside inference endpoint as the base URL and adding a Poolside API key, then selecting the Laguna XS model and updating model configuration. It demonstrates testing by starting a new chat, exploring a codebase, and switching to Laguna M to add a default fallback when a weather API is offline, validating that code compiles and tests stay green. Finally, it shows setting Cline to use OpenRouter, selecting a Poolside Laguna model, testing language terminology queries, and adding inline documentation after switching to Laguna M."}