rebuilding nix files
This commit is contained in:
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+66
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@@ -1646,72 +1646,122 @@ It automatically pulls and prepares selected coding models (e.g., Qwen2.5-Coder
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{ config, pkgs, lib, flakeRoot, ... }:
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{ config, pkgs, lib, flakeRoot, ... }:
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let
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let
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# Path to the environment file containing OLLAMA_HOST and MISTRAL_API_KEY
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AiRepoEnv = flakeRoot + "/assets/conf/apps/ai/ai.env";
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AiRepoEnv = flakeRoot + "/assets/conf/apps/ai/ai.env";
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# Path to the ZED configuration template
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AiRepoConf = flakeRoot + "/assets/conf/apps/ai/ai.conf";
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AiRepoConf = flakeRoot + "/assets/conf/apps/ai/ai.conf";
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# Read and parse the environment file
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# Parse the environment file into an attribute set (key-value pairs)
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# Steps:
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# 1. Read the file as a string
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# 2. Split into lines using newline character
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# 3. Filter out empty lines
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# 4. Split each line by '=' to separate keys and values
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# 5. Use lib.genAttrs to create a Nix attribute set
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envVars = lib.genAttrs (
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envVars = lib.genAttrs (
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builtins.map (
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builtins.map (
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line: let
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line: builtins.split "=" line # Split each line into [key, value]
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parts = builtins.split "=" line;
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) (builtins.filter (line: line != "") (builtins.split "\n" (builtins.readFile (toString AiRepoEnv))))
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key = builtins.elemAt parts 0;
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) (parts: builtins.elemAt parts 0) # First element is the key
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value = builtins.elemAt parts 1;
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(parts: builtins.elemAt parts 1); # Second element is the value
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in { name = key; value = value; }
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) (builtins.split "\n" (builtins.readFile (toString AiRepoEnv)))
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) (entry: entry.name);
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in
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in
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{
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{
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# Install ZED editor and Ollama with Vulkan support (for CPU/AMD).
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# Install required packages:
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# - ollama-vulkan: Ollama with Vulkan support (for AMD/CPU)
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# - zed: The ZED code editor
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home.packages = [
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home.packages = [
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pkgs.ollama-vulkan
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pkgs.ollama-vulkan
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pkgs.zed
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pkgs.zed
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];
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];
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# --- Environment Variables ---
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# Set environment variables for the user session
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# These will be available to all user processes
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home.sessionVariables = {
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home.sessionVariables = {
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# Ollama server address, default to localhost if not set in ai.env
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OLLAMA_HOST = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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OLLAMA_HOST = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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# Mistral API key, empty string if not set in ai.env
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MISTRAL_API_KEY = envVars.MISTRAL_API_KEY or "";
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MISTRAL_API_KEY = envVars.MISTRAL_API_KEY or "";
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};
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};
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# --- Ollama User Service ---
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# Configure Ollama as a user service (runs when user logs in)
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systemd.user.services.ollama = {
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systemd.user.services.ollama = {
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description = "Ollama service for local AI models";
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description = "Ollama service for local AI models";
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# Start with the user session
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wantedBy = [ "default.target" ];
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wantedBy = [ "default.target" ];
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# Ensure network is available before starting
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after = [ "network.target" ];
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after = [ "network.target" ];
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serviceConfig = {
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serviceConfig = {
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# Run as a background process
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Type = "forking";
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Type = "forking";
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# Command to start the Ollama server
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ExecStart = ''
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ExecStart = ''
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${pkgs.ollama-vulkan}/bin/ollama serve
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${pkgs.ollama-vulkan}/bin/ollama serve
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'';
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'';
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# Commands to run after the server starts
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ExecStartPost = ''
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ExecStartPost = ''
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# Wait for server to initialize
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sleep 5
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sleep 5
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${pkgs.ollama-vulkan}/bin/ollama pull codellama:70b
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# Pull default models
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${pkgs.ollama-vulkan}/bin/ollama pull mixtral:8x7b
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${pkgs.ollama-vulkan}/bin/ollama pull codellama:70b # Coding model
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${pkgs.ollama-vulkan}/bin/ollama pull mixtral:8x7b # Chat model
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'';
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'';
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# Restart if the service crashes
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Restart = "on-failure";
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Restart = "on-failure";
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};
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};
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};
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};
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# --- ZED Configuration ---
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# Generate ZED's settings.json with API keys and endpoints
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# Steps:
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# 1. Read the template JSON file
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# 2. Parse it from JSON to a Nix attribute set
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# 3. Override specific values with our environment variables
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# 4. Convert back to JSON and write to the config file
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home.file.".config/zed/settings.json".text = lib.mkForce (
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home.file.".config/zed/settings.json".text = lib.mkForce (
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builtins.toJSON (
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builtins.toJSON (
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# Start with the base config from ai.conf
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(builtins.fromJSON (builtins.readFile (toString AiRepoConf)))
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(builtins.fromJSON (builtins.readFile (toString AiRepoConf)))
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# Override specific values
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// {
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// {
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mistral = {
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mistral = {
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# Use the API key from ai.env, or empty string if not set
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apiKey = envVars.MISTRAL_API_KEY or "";
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apiKey = envVars.MISTRAL_API_KEY or "";
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defaultModel = "mistral-pro";
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defaultModel = "mistral-pro"; # Default Mistral model
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};
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};
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ollama = {
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ollama = {
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# Use the host from ai.env, or default localhost
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endpoint = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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endpoint = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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defaultModel = "codellama:70b";
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defaultModel = "codellama:70b"; # Default Ollama model for coding
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};
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};
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}
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}
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)
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)
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);
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);
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# --- Usage Notes ---
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# 1. Pulling Additional Models:
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# To add more models later, run:
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# ollama pull <model-name>
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# Example: ollama pull llama3:8b
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#
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# 2. Switching GPU Backends:
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# - For NVIDIA: Replace all `ollama-vulkan` with `ollama` (uses CUDA)
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# - For AMD: Use `ollama-rocm` and ensure ROCm is installed
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#
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# 3. ZED Plugin Setup:
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# - Install the Ollama and Mistral plugins in ZED via the plugin marketplace
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# - The Ollama plugin will use the local models pulled above
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# - The Mistral plugin will use the MISTRAL_API_KEY for cloud access
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#
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# 4. Security:
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# - Never commit ./assets/conf/apps/ai.env to version control
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# - For extra security, encrypt ai.env using sops-nix or age
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#
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# 5. Persistent Service:
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# To keep Ollama running after logout, enable lingering:
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# loginctl enable-linger $(whoami)
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}
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}
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#+end_src
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#+end_src
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@@ -1,70 +1,120 @@
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{ config, pkgs, lib, flakeRoot, ... }:
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{ config, pkgs, lib, flakeRoot, ... }:
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let
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let
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# Path to the environment file containing OLLAMA_HOST and MISTRAL_API_KEY
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AiRepoEnv = flakeRoot + "/assets/conf/apps/ai/ai.env";
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AiRepoEnv = flakeRoot + "/assets/conf/apps/ai/ai.env";
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# Path to the ZED configuration template
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AiRepoConf = flakeRoot + "/assets/conf/apps/ai/ai.conf";
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AiRepoConf = flakeRoot + "/assets/conf/apps/ai/ai.conf";
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# Read and parse the environment file
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# Parse the environment file into an attribute set (key-value pairs)
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||||||
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# Steps:
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||||||
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# 1. Read the file as a string
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||||||
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# 2. Split into lines using newline character
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||||||
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# 3. Filter out empty lines
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||||||
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# 4. Split each line by '=' to separate keys and values
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# 5. Use lib.genAttrs to create a Nix attribute set
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envVars = lib.genAttrs (
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envVars = lib.genAttrs (
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builtins.map (
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builtins.map (
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line: let
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line: builtins.split "=" line # Split each line into [key, value]
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parts = builtins.split "=" line;
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) (builtins.filter (line: line != "") (builtins.split "\n" (builtins.readFile (toString AiRepoEnv))))
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key = builtins.elemAt parts 0;
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) (parts: builtins.elemAt parts 0) # First element is the key
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value = builtins.elemAt parts 1;
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(parts: builtins.elemAt parts 1); # Second element is the value
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in { name = key; value = value; }
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) (builtins.split "\n" (builtins.readFile (toString AiRepoEnv)))
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) (entry: entry.name);
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in
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in
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{
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{
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# Install ZED editor and Ollama with Vulkan support (for CPU/AMD).
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# Install required packages:
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||||||
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# - ollama-vulkan: Ollama with Vulkan support (for AMD/CPU)
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||||||
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# - zed: The ZED code editor
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home.packages = [
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home.packages = [
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pkgs.ollama-vulkan
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pkgs.ollama-vulkan
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pkgs.zed
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pkgs.zed
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];
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];
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# --- Environment Variables ---
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# Set environment variables for the user session
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||||||
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# These will be available to all user processes
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home.sessionVariables = {
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home.sessionVariables = {
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# Ollama server address, default to localhost if not set in ai.env
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OLLAMA_HOST = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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OLLAMA_HOST = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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# Mistral API key, empty string if not set in ai.env
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MISTRAL_API_KEY = envVars.MISTRAL_API_KEY or "";
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MISTRAL_API_KEY = envVars.MISTRAL_API_KEY or "";
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};
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};
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# --- Ollama User Service ---
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# Configure Ollama as a user service (runs when user logs in)
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systemd.user.services.ollama = {
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systemd.user.services.ollama = {
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description = "Ollama service for local AI models";
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description = "Ollama service for local AI models";
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# Start with the user session
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wantedBy = [ "default.target" ];
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wantedBy = [ "default.target" ];
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# Ensure network is available before starting
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after = [ "network.target" ];
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after = [ "network.target" ];
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serviceConfig = {
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serviceConfig = {
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# Run as a background process
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Type = "forking";
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Type = "forking";
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# Command to start the Ollama server
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ExecStart = ''
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ExecStart = ''
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${pkgs.ollama-vulkan}/bin/ollama serve
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${pkgs.ollama-vulkan}/bin/ollama serve
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'';
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'';
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# Commands to run after the server starts
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ExecStartPost = ''
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ExecStartPost = ''
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# Wait for server to initialize
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sleep 5
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sleep 5
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${pkgs.ollama-vulkan}/bin/ollama pull codellama:70b
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# Pull default models
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${pkgs.ollama-vulkan}/bin/ollama pull mixtral:8x7b
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${pkgs.ollama-vulkan}/bin/ollama pull codellama:70b # Coding model
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${pkgs.ollama-vulkan}/bin/ollama pull mixtral:8x7b # Chat model
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'';
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'';
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# Restart if the service crashes
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Restart = "on-failure";
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Restart = "on-failure";
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};
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};
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};
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};
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# --- ZED Configuration ---
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# Generate ZED's settings.json with API keys and endpoints
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||||||
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# Steps:
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||||||
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# 1. Read the template JSON file
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||||||
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# 2. Parse it from JSON to a Nix attribute set
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||||||
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# 3. Override specific values with our environment variables
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||||||
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# 4. Convert back to JSON and write to the config file
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home.file.".config/zed/settings.json".text = lib.mkForce (
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home.file.".config/zed/settings.json".text = lib.mkForce (
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builtins.toJSON (
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builtins.toJSON (
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# Start with the base config from ai.conf
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(builtins.fromJSON (builtins.readFile (toString AiRepoConf)))
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(builtins.fromJSON (builtins.readFile (toString AiRepoConf)))
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# Override specific values
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// {
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// {
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mistral = {
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mistral = {
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# Use the API key from ai.env, or empty string if not set
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apiKey = envVars.MISTRAL_API_KEY or "";
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apiKey = envVars.MISTRAL_API_KEY or "";
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defaultModel = "mistral-pro";
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defaultModel = "mistral-pro"; # Default Mistral model
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};
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};
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ollama = {
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ollama = {
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# Use the host from ai.env, or default localhost
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endpoint = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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endpoint = envVars.OLLAMA_HOST or "http://127.0.0.1:11434";
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defaultModel = "codellama:70b";
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defaultModel = "codellama:70b"; # Default Ollama model for coding
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};
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};
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}
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}
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)
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)
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);
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);
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# --- Usage Notes ---
|
||||||
|
# 1. Pulling Additional Models:
|
||||||
|
# To add more models later, run:
|
||||||
|
# ollama pull <model-name>
|
||||||
|
# Example: ollama pull llama3:8b
|
||||||
|
#
|
||||||
|
# 2. Switching GPU Backends:
|
||||||
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# - For NVIDIA: Replace all `ollama-vulkan` with `ollama` (uses CUDA)
|
||||||
|
# - For AMD: Use `ollama-rocm` and ensure ROCm is installed
|
||||||
|
#
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||||||
|
# 3. ZED Plugin Setup:
|
||||||
|
# - Install the Ollama and Mistral plugins in ZED via the plugin marketplace
|
||||||
|
# - The Ollama plugin will use the local models pulled above
|
||||||
|
# - The Mistral plugin will use the MISTRAL_API_KEY for cloud access
|
||||||
|
#
|
||||||
|
# 4. Security:
|
||||||
|
# - Never commit ./assets/conf/apps/ai.env to version control
|
||||||
|
# - For extra security, encrypt ai.env using sops-nix or age
|
||||||
|
#
|
||||||
|
# 5. Persistent Service:
|
||||||
|
# To keep Ollama running after logout, enable lingering:
|
||||||
|
# loginctl enable-linger $(whoami)
|
||||||
}
|
}
|
||||||
|
|||||||
Reference in New Issue
Block a user