Totally new ai.nix, integrating MIstral with ZED

henrovnix_ok/home/apps/ai.nix

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+{ config, pkgs, ... }:
+
+{
+  # Install ZED and Ollama (Vulkan for CPU/AMD, use `ollama` for NVIDIA or `ollama-rocm` for AMD ROCm)
+  home.packages = [
+    pkgs.ollama-vulkan  # For Vulkan (CPU/AMD). For NVIDIA: pkgs.ollama. For AMD ROCm: pkgs.ollama-rocm
+    pkgs.zed
+  ];
+
+  # Environment variables for ZED and Ollama
+  home.sessionVariables = {
+    OLLAMA_HOST = "http://127.0.0.1:11434";
+    MISTRAL_API_KEY = "CWo91GHwIClzLj6bCLQ69IioSi54PpTZ"; # Replace with your actual Mistral API key
+  };
+
+  # Configure Ollama as a user service (starts with login)
+  home.services.ollama = {
+    enable = true;
+    package = pkgs.ollama-vulkan;
+    onStart = ''
+      # Start Ollama server
+      ${pkgs.ollama-vulkan}/bin/ollama serve > /dev/null 2>&1 &
+      sleep 5  # Wait for server to start
+
+      # Pull coding and chat models at startup
+      ${pkgs.ollama-vulkan}/bin/ollama pull codellama:70b    # Best for coding
+      ${pkgs.ollama-vulkan}/bin/ollama pull mixtral:8x7b    # Best for chat
+
+      # To pull additional models, uncomment or add lines below:
+      # ${pkgs.ollama-vulkan}/bin/ollama pull llama3:8b       # General-purpose
+      # ${pkgs.ollama-vulkan}/bin/ollama pull qwen2.5-coder:7b # Multilingual coding
+      # ${pkgs.ollama-vulkan}/bin/ollama pull qwen2.5-coder:32b # Larger coding model
+      # ${pkgs.ollama-vulkan}/bin/ollama pull starcoder2:15b  # Alternative for code
+    '';
+  };
+
+  # Configure ZED to use Ollama and Mistral API
+  home.file.".config/zed/settings.json".text = lib.mkForce ''
+    {
+      "mistral": {
+        "apiKey": "$MISTRAL_API_KEY",  # Uses the environment variable set above
+        "defaultModel": "mistral-pro"  # Default model for Mistral API calls
+      },
+      "ollama": {
+        "endpoint": "$OLLAMA_HOST",    # Connects to local Ollama instance
+        "defaultModel": "codellama:70b" # Default model for Ollama plugin
+      },
+      # Add other ZED plugin configurations here if needed
+    }
+  '';
+
+  # --- Notes ---
+  # 1. Pulling Additional Models:
+  #    To pull more models later, run:
+  #      ollama pull <model-name>
+  #    Example: ollama pull llama3:8b
+
+  # 2. Switching GPU Backends:
+  #    - For NVIDIA: Replace `ollama-vulkan` with `ollama` (uses CUDA)
+  #    - For AMD: Use `ollama-rocm` and ensure ROCm is installed
+
+  # 3. ZED Plugin Setup:
+  #    - Install the Ollama and Mistral plugins in ZED via the plugin marketplace
+  #    - The Ollama plugin will use the models pulled above
+  #    - The Mistral plugin will use the MISTRAL_API_KEY for cloud access
+
+  # 4. Custom Prompts:
+  #    To add custom prompts for Ollama, create a prompts.json file or
+  #    configure prompts directly in the ZED Ollama plugin settings
+
+  # 5. Resource Management:
+  #    Ollama runs as a user service and stops when you log out
+  #    To run Ollama persistently, consider a systemd user service with `systemctl --user`
+}
+
+{ config, lib, pkgs, ... }:
+let
+  # Continue gebruikt tegenwoordig bij voorkeur config.yaml; config.json bestaat nog
+  # maar is “deprecated” in de docs. We schrijven hier bewust config.json omdat jij dat vroeg.
+  continueConfigJson = builtins.toJSON {
+    models = [
+      {
+        title = "Qwen2.5-Coder 7B";
+        provider = "ollama";
+        model = "qwen2.5-coder:7b";
+        apiBase = "http://localhost:11434";
+      }
+      {
+        title = "Qwen2.5-Coder 32B";
+        provider = "ollama";
+        model = "qwen2.5-coder:32b";
+        apiBase = "http://localhost:11434";
+      }
+      {
+        title = "StarCoder2 15B";
+        provider = "ollama";
+        model = "starcoder2:15b";
+        apiBase = "http://localhost:11434";
+      }
+    ];
+    # Tab-autocomplete model (pas aan naar smaak/VRAM)
+    tabAutocompleteModel = {
+      title = "Qwen2.5-Coder 7B";
+      provider = "ollama";
+      model = "qwen2.5-coder:7b";
+      apiBase = "http://localhost:11434";
+    };
+  };
+in
+{
+  programs.zed-editor = {
+    enable = true;
+   # Zed-extensies (taal/LS/etc). "Continue" bestaat (nog) niet als Zed-extensie.
+   # Dit is de officiële HM interface voor Zed extensions.
+    extensions = [
+      "nix"
+      "toml"
+      "rust"
+      "org-mode"
+    ];
+    # Zed AI: Ollama als provider
+    # Zed kan modellen auto-discoveren die jij met Ollama gepulld hebt.
+    userSettings = {
+      language_models = {
+        ollama = {
+          api_url = "http://localhost:11434";
+          auto_discover = true;
+          # Optioneel: zet een grotere context voor alle Ollama modellen
+          # (Zed stuurt dit als `num_ctx` naar Ollama)
+          context_window = 8192;
+        };
+      };
+    };
+  };
+  # Continue config.json neerzetten (voor Continue in VS Code / JetBrains)
+  # Pad: ~/.config/continue/config.json
+  xdg.configFile."continue/config.json".text = continueConfigJson;
+}

henrovnix_ok/home/apps/defaults-apps.nix

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+{ config, pkgs, lib, ... }:
+{
+  xdg.mimeApps.enable = true;
+  xdg.mimeApps.defaultApplications = {
+    "x-scheme-handler/http"  = [ "app.zen_browser.zen.desktop" ];
+    "x-scheme-handler/https" = [ "app.zen_browser.zen.desktop" ];
+    "text/html"              = [ "app.zen_browser.zen.desktop" ];
+  };
+}

henrovnix_ok/home/apps/theme.nix

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+{ pkgs, ...}:
+{
+  gtk = {
+    enable = true;
+    colorScheme = "dark";
+    theme = {
+      name = "Catppuccin-GTK-Grey-Dark-Compact";
+      package = (pkgs.magnetic-catppuccin-gtk.override {
+        accent = [ "grey" ];
+        shade = "dark";
+        tweaks = [ "black" ];
+        size = "compact";
+      });
+    };
+    iconTheme.name = "Papirus-Dark";
+  };
+  catppuccin.enable = true;
+  catppuccin.flavor = "mocha";
+  catppuccin.accent = "blue";
+  catppuccin.gtk.icon.enable = true;
+  catppuccin.cursors.enable = true;
+}