Had to redo headers of ai.nix

henrovnix_ok/README.org

@@ -1655,21 +1655,18 @@ It ensures the Ollama CLI is available system-wide for interacting with local mo
 It automatically pulls and prepares selected coding models (e.g., Qwen2.5-Coder and StarCoder2) at system activation.
 
 #+begin_src nix :tangle home/apps/ai.nix :noweb tangle :mkdirp yes
-{ config, pkgs, ... }:
+{ config, pkgs, lib, flakeRoot, ... }:
-
 {
   # 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;
@@ -1678,11 +1675,9 @@ It automatically pulls and prepares selected coding models (e.g., Qwen2.5-Coder
       # 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
@@ -1690,7 +1685,6 @@ It automatically pulls and prepares selected coding models (e.g., Qwen2.5-Coder
       # ${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 ''
     {
@@ -1705,26 +1699,21 @@ It automatically pulls and prepares selected coding models (e.g., Qwen2.5-Coder
       # 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`

henrovnix_ok/home/apps/ai.nix

@@ -1,18 +1,15 @@
-{ config, pkgs, ... }:
+{ config, pkgs, lib, flakeRoot, ... }:
-
 {
   # 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;
@@ -21,11 +18,9 @@
       # 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
@@ -33,7 +28,6 @@
       # ${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 ''
     {
@@ -48,26 +42,21 @@
       # 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`