# Logics Ollama Specialist > Install, configure, validate, and integrate Ollama for local development. Use when setting up DeepSeek or Qwen coding profiles for terminal, HTTP API, Continue, or Roo Code workflows, or when wiring frontend/backends to Ollama through Vite or Express proxies and fixing CORS or 403 Origin issues. Use when this capability is needed. - Skill: `tomevault-io/logics-ollama-specialist` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/logics-ollama-specialist` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/logics-ollama-specialist/raw - Safety review: pending (external: skill-scanner PASS, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Web & Frontend - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/logics-ollama-specialist --- # Logics Ollama Specialist Platform scope: - `ollama_install_macos.sh` is intentionally macOS-specific. - `ollama_check.sh` is a POSIX-shell helper and should not be treated as a Windows workflow entrypoint. - On Windows, follow the Ollama product's native install path first, then adapt the integration guidance in `references/`. Normalize common user variants such as `deepseeker-coder-v2`, `deepseek coder v2`, or `deepseek-coder` to `deepseek-coder-v2`. Treat `Qwen coder`, `qwen coder`, or `qwen-coder` requests as a Qwen-family coding profile and confirm the exact tag before changing config. ## Quick start 1. Clarify OS, target model, editor surface, and whether Ollama runs locally or on another host. 2. If installation is needed, ask for explicit permission before running install commands. 3. For local coding, prefer the repo's curated DeepSeek default profile `deepseek-coder-v2:16b` unless the user explicitly asks for another supported family or tag. 4. Verify Ollama, daemon reachability, and model availability before editing editor config. 5. If the app is a frontend, prefer a same-origin proxy (`/ollama/*`) to avoid CORS. 6. If LAN URL causes `403`, remove `Origin` in the proxy or set `OLLAMA_ORIGINS`. Do not default to `deepseek-coder-v2:236b` unless the user clearly has server-grade hardware. Supported profile guidance: - DeepSeek default profile: `deepseek-coder-v2:16b` - Qwen coding profile example: `qwen2.5-coder:14b` - If the user asks for `qwen3`, `qwen3.5`, or another Qwen-family coder tag, confirm the exact local Ollama tag and treat the repo profile as overrideable rather than forcing one hard-coded tag. ## Install Ollama (macOS-only helper) - Ask for explicit approval before running installs. - Use the script for safe and consistent setup: ```bash DRY_RUN=1 logics/skills/logics-ollama-specialist/scripts/ollama_install_macos.sh deepseek-coder-v2:16b ``` If approved, run again without `DRY_RUN=1`. ## DeepSeek Coder V2 workflow Prefer the explicit 16B tag for local development: ```bash ollama pull deepseek-coder-v2:16b ``` Validate the model path: ```bash ollama list | grep -E '^deepseek-coder-v2' ollama run deepseek-coder-v2:16b "Write a Python hello world" ``` Validate the local HTTP API: ```bash curl -fsS http://127.0.0.1:11434/api/chat -d '{ "model": "deepseek-coder-v2:16b", "messages": [{"role": "user", "content": "Reply with the word ready"}], "stream": false }' ``` Use `deepseek-coder-v2:latest` only if the user explicitly wants the floating tag. ## Qwen coding profile workflow Use a Qwen-family coding profile when the operator explicitly prefers Qwen over DeepSeek for bounded local coding or hybrid assist work. Curated example: ```bash ollama pull qwen2.5-coder:14b ``` Validate the profile path: ```bash ollama list | grep -E '^qwen' ollama run qwen2.5-coder:14b "Write a Python hello world" ``` If the user wants another Qwen-family coder tag, confirm that exact tag first and then use it consistently in runtime config, Continue, and checks. ## Continue in VS Code When the user wants a local VS Code coding assistant and does not name another extension, prefer Continue. The user-level config file is: ```text ~/.continue/config.yaml ``` Minimal working model entry: ```yaml name: Local Assistant version: 0.0.1 schema: v1 models: - name: DeepSeek Coder V2 provider: ollama model: deepseek-coder-v2:16b apiBase: http://localhost:11434 roles: - chat - edit - apply ``` Rules for Continue edits: - Patch the existing file instead of overwriting unrelated models. - Keep `apiBase: http://localhost:11434` unless the user says Ollama is remote. - Prefer explicit tags instead of `latest`. - Keep the selected model family consistent across runtime config and editor config instead of mixing DeepSeek and Qwen tags accidentally. - If the user wants faster inline completion, pair the main DeepSeek model with a smaller completion model instead of forcing one large model to do everything. ## Roo Code If the user explicitly wants Roo Code, keep the same Ollama baseline and wire the editor after validation: - API provider: `Ollama` - Base URL: `http://localhost:11434` - Model ID: `deepseek-coder-v2:16b` Validate in this order: 1. `ollama --version` 2. `curl -fsS http://127.0.0.1:11434/api/tags` 3. `ollama list | grep -E '^deepseek-coder-v2'` 4. Roo Code provider, base URL, and model selection match the local setup ## Dedicated local autocomplete If the user wants low-latency inline completion, prefer a split-model setup: - `deepseek-coder-v2:16b` for chat, edit, and apply workflows - a smaller local completion model such as `qwen2.5-coder:1.5b` for autocomplete Use this pattern when: - the main coding model is responsive enough for chat or edit work but too heavy for inline completion - the user wants a local setup that feels closer to Copilot-style suggestions Do not collapse these roles into a single larger model by default when responsiveness is the operator's primary concern. ## Start and stop Ollama server - Start in foreground: ```bash ollama serve ``` - Start as Homebrew service: ```bash brew services start ollama ``` - Stop foreground server: `Ctrl + C` - Stop Homebrew service: ```bash brew services stop ollama ``` - If Ollama.app auto-restarts the server, quit the app: ```bash osascript -e 'quit app "Ollama"' ``` - Last-resort force stop: ```bash pkill -f 'ollama serve' pkill -x Ollama ``` - Verify server status: ```bash lsof -iTCP:11434 -sTCP:LISTEN -n -P ``` ## Verify Ollama Run the check script to validate prerequisites, reachability, model presence, and optional Continue config hints: ```bash logics/skills/logics-ollama-specialist/scripts/ollama_check.sh deepseek-coder-v2:16b logics/skills/logics-ollama-specialist/scripts/ollama_check.sh qwen2.5-coder:14b ``` ## Integrate with a frontend (Vite/React) 1. Use a proxy to call `/ollama/*` from the browser. 2. Set `VITE_OLLAMA_HOST` to the local Ollama URL. 3. If LAN access returns `403`, remove the `Origin` header in the proxy or set `OLLAMA_ORIGINS`. See `references/ollama-integration.md` for snippets and common pitfalls. ## Add PWA support (Vite) Use `vite-plugin-pwa`, register the SW, and add icons or manifest fields. See `references/pwa-vite.md`. ## Troubleshooting Common failures and fixes: - `ollama: command not found` Install Ollama first. - `curl ... /api/tags` fails Start the Ollama app or run `ollama serve`. - Model missing from `ollama list` Run `ollama pull deepseek-coder-v2:16b`. - Wrong model family in config Re-check that the selected DeepSeek or Qwen tag matches the intended runtime profile and editor config. - Continue or Roo Code cannot answer Re-check provider, model, and base URL against the local Ollama setup. - Browser app on LAN returns `403` Remove `Origin` in the proxy or set `OLLAMA_ORIGINS`. - Requests are very slow or fail under load The machine likely does not have enough RAM or VRAM for the chosen model; move to a smaller model or a smaller completion model where appropriate. ## Resources ### scripts/ - `ollama_check.sh`: POSIX-shell helper to verify `ollama`, curl reachability, local model availability, and optional Continue config hints for the requested DeepSeek or Qwen tag. - `ollama_install_macos.sh`: macOS-only helper to install or start Ollama with an optional model (supports `DRY_RUN=1`). ### references/ - `ollama-integration.md`: DeepSeek and Qwen profile notes, editor-integration notes, proxy or CORS guidance, env vars, and endpoint notes. - `pwa-vite.md`: PWA steps for Vite or React. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/alexago83) — claim your Tome and manage your conversions.