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FD900
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You don't need remote APIs for a coding copliot, or the MCP Course! Set up a fully local IDE with MCP integration using Continue. In this tutorial Continue guides you through setting it up. This is what you need to do to take control of your copilot: 1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant. 2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc. ``` llama-server -hf unsloth/Devstral-Small-2505-GGUF:Q4_K_M ``` 3. Create a `.continue/models/llama-max.yaml` file in your project to tell Continue how to use the local Ollama model. ``` name: Llama.cpp model version: 0.0.1 schema: v1 models: - provider: llama.cpp model: unsloth/Devstral-Small-2505-GGUF apiBase: http://localhost:8080 defaultCompletionOptions: contextLength: 8192 # Adjust based on the model name: Llama.cpp Devstral-Small roles: - chat - edit ``` 4. Create a `.continue/mcpServers/playwright-mcp.yaml` file to integrate a tool, like the Playwright browser automation tool, with your assistant. ``` name: Playwright mcpServer version: 0.0.1 schema: v1 mcpServers: - name: Browser search command: npx args: - "@playwright/mcp@latest" ``` Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
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Template Final Assignment
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Evaluate GAIA Agent & Submit Answers