231 lines
6.9 KiB
Markdown
231 lines
6.9 KiB
Markdown
Installed https://github.com/santifer/career-ops
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Good — since career-ops explicitly supports Ollama as a free local engine, let's wire this to what you already built. Quick check first: which AI CLI do you want to drive it — Claude Code (uses your Claude subscription/API), or OpenCode (lets you point directly at your local Ollama for $0 cost)? Given the whole point of setting up Ollama was to avoid API costs, I'll assume **OpenCode + Ollama**, but flag if you'd rather use Claude Code.
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**1. Check prerequisites**
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```bash
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node -v # need Node.js — if missing: brew install node
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git --version
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```
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**2. Install career-ops**
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```bash
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npx @santifer/career-ops init
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cd career-ops
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```
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This clones the latest release and installs dependencies for you.
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**3. Install the browser engine for PDF generation**
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```bash
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npx playwright install chromium
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```
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career-ops uses Playwright (headless Chrome) to render your friend's CV/cover letter to PDF and to scan some job portals — this is a one-time download (~150-300MB).
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**4. Get OpenCode (if you don't already have an AI CLI)**
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```bash
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npm i -g opencode-ai
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```
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**5. Point OpenCode at your local Ollama**
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`See integration of opencode and ollama instead`
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career-ops is CLI-agnostic — it just needs an AI CLI wired to a model. Configure OpenCode to talk to Ollama's OpenAI-compatible endpoint. In OpenCode's config (`~/.config/opencode/opencode.json` or via `opencode auth login` flow depending on version), set the local provider to:
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```
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base URL: http://localhost:11434/v1
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model: qwen2.5-coder:14b (or whichever you pulled)
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```
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**6. Run the doctor check**
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```bash
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npm run doctor
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```
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This validates your setup (Node, Playwright, CLI config) and tells you specifically what's missing — much better than guessing.
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**7. Launch and onboard**
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```bash
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opencode
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```
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Then inside the session, just start chatting — on first launch career-ops walks you through CV/profile setup conversationally rather than making you hand-edit YAML.
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One honest caveat before you commit to the local-model path: career-ops's evaluation quality (fit scoring, CV tailoring, company research) leans on the model actually being good at instruction-following and reasoning across a long agentic session. A 14B local model will be noticeably weaker at this than Claude — worth testing on one real job posting before running your friend's whole batch through it, so you're not silently getting worse evaluations to save money.
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Want me to walk through step 5's exact config file syntax once you've got OpenCode installed and can share what version/config format it's using?
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## Integration of Opencode and Ollama
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> ## Documentation Index
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> Fetch the complete documentation index at: https://docs.ollama.com/llms.txt
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> Use this file to discover all available pages before exploring further.
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# OpenCode
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[OpenCode](https://opencode.ai) is an open-source coding agent that runs in your terminal, reads your project, edits files, and runs commands.
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Ollama configures OpenCode to use local and cloud models.
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## Get started
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Launch OpenCode with Ollama:
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```shell theme={"system"}
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ollama launch opencode
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```
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## Capabilities
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<div className="capability-list capability-list-full">
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<div className="capability-list-grid">
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<div className="capability-list-item">
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<div className="capability-list-icon">
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<Icon icon="comment" />
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</div>
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<div>
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<div className="capability-list-heading">Chat</div>
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<div className="capability-list-copy">Ask questions about a repository or task</div>
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</div>
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</div>
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<div className="capability-list-item">
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<div className="capability-list-icon">
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<Icon icon="terminal" />
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</div>
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<div>
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<div className="capability-list-heading">Command line</div>
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<div className="capability-list-copy">Run commands from your working directory</div>
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</div>
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</div>
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<div className="capability-list-item">
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<div className="capability-list-icon">
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<Icon icon="code" />
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</div>
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<div>
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<div className="capability-list-heading">File edits</div>
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<div className="capability-list-copy">Read and edit files in your project</div>
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</div>
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</div>
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<div className="capability-list-item">
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<div className="capability-list-icon">
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<Icon icon="users" />
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</div>
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<div>
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<div className="capability-list-heading">Subagents</div>
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<div className="capability-list-copy">Split work across tasks</div>
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</div>
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</div>
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<div className="capability-list-item">
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<div className="capability-list-icon">
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<Icon icon="file-text" />
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</div>
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<div>
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<div className="capability-list-heading">Web fetch</div>
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<div className="capability-list-copy">Fetch and summarize web pages</div>
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</div>
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</div>
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<div className="capability-list-item">
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<div className="capability-list-icon">
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<Icon icon="image" />
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</div>
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<div>
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<div className="capability-list-heading">Vision</div>
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<div className="capability-list-copy">Send images and screenshots</div>
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</div>
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</div>
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</div>
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</div>
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## Models
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Choose a model with enough context for your repository.
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<CardGroup cols={2}>
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<Card title="Cloud models" icon="cloud" href="https://ollama.com/search?c=cloud">
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Use larger models without downloading them.
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</Card>
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<Card title="Local models" icon="hard-drive" href="https://ollama.com/search?c=tools">
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Choose a model and set a 64k+ context window.
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</Card>
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</CardGroup>
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<Note>OpenCode requires a context length of 64k or higher. See [Context length](/context-length) for more information.</Note>
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## Manual setup
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<p className="manual-step-title">1. Install OpenCode</p>
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<CodeGroup>
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```shell macOS / Linux theme={"system"}
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curl -fsSL https://opencode.ai/install | bash
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```
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```powershell Windows theme={"system"}
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npm install -g opencode-ai
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```
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</CodeGroup>
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<p className="manual-step-title">2. Configure Ollama as a provider</p>
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Add an Ollama provider to `opencode.json`:
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```json theme={"system"}
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{
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"$schema": "https://opencode.ai/config.json",
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"provider": {
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"ollama": {
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"npm": "@ai-sdk/openai-compatible",
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"name": "Ollama",
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"options": {
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"baseURL": "http://localhost:11434/v1"
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},
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"models": {
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"qwen3.5": {
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"name": "qwen3.5"
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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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<p className="manual-step-title">3. Run OpenCode</p>
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```shell theme={"system"}
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opencode
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```
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To configure OpenCode with Ollama without starting an interactive session:
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```shell theme={"system"}
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ollama launch opencode --config
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```
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### Configuration precedence
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`ollama launch opencode` starts OpenCode with an inline config for the selected Ollama model. It does not overwrite `~/.config/opencode/opencode.json`; existing OpenCode settings still apply.
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Models defined only in `opencode.json` do not appear in the `ollama launch` model picker.
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See OpenCode's [config precedence](https://opencode.ai/docs/config/#precedence-order).
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