d73a73d7f3
- Replace fileURLToPath(import.meta.url) with import.meta.dirname across
scripts and extensions
- Rename parsers-legacy.ts → parsers.ts
- Remove deleted plan/spec docs (cicd-pipeline)
- Update package.json engines and deps across workspace packages
- Update web/package-lock.json
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84 lines
2.9 KiB
Markdown
84 lines
2.9 KiB
Markdown
# Installation
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## Install SF
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```bash
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npm install -g sf-run
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```
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Requires **Node.js 24.0.0 or later** (24 LTS recommended) and **Git**.
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{% hint style="info" %}
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**`command not found: sf`?** Your shell may not have npm's global bin directory in `$PATH`. Run `npm prefix -g` to find it, then add `$(npm prefix -g)/bin` to your PATH. See [Troubleshooting](../reference/troubleshooting.md) for details.
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{% endhint %}
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SF checks for updates once every 24 hours. When a new version is available, you'll see a prompt at startup with the option to update immediately or skip. You can also update from within a session with `/sf update`.
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## Set Up Your LLM Provider
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Launch SF for the first time:
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```bash
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sf
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```
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The setup wizard walks you through:
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1. **LLM Provider** — choose from 20+ providers (Anthropic, OpenAI, Google, OpenRouter, GitHub Copilot, Amazon Bedrock, Azure, and more). OAuth flows handle Claude Max and Copilot subscriptions automatically; otherwise paste an API key.
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2. **Tool API Keys** (optional) — Brave Search, Context7, Jina, Slack, Discord. Press Enter to skip any.
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Re-run the wizard anytime with:
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```bash
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sf config
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```
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For detailed provider setup, see [Provider Setup](../configuration/providers.md).
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## Set Up API Keys for Tools
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If you use a non-Anthropic model, you may need a search API key for web search. Run `/sf config` inside any SF session to set keys globally — they're saved to `~/.sf/agent/auth.json` and apply to all projects.
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| Tool | Purpose | Get a Key |
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|------|---------|-----------|
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| Tavily Search | Web search for non-Anthropic models | [tavily.com](https://tavily.com/app/api-keys) |
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| Brave Search | Web search for non-Anthropic models | [brave.com](https://brave.com/search/api) |
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| Context7 Docs | Library documentation lookup | [context7.com](https://context7.com/dashboard) |
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Anthropic models have built-in web search and don't need these keys.
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## VS Code Extension
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SF is also available as a VS Code extension. Install from the marketplace (publisher: FluxLabs) or search for "SF" in VS Code extensions.
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The extension provides:
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- **`@sf` chat participant** — talk to the agent in VS Code Chat
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- **Sidebar dashboard** — connection status, model info, token usage, quick actions
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- **Full command palette** — start/stop agent, switch models, export sessions
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The CLI (`sf-run`) must be installed first — the extension connects to it via RPC.
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## Web Interface
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SF also has a browser-based interface:
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```bash
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sf --web
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```
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This starts a local web server with a visual dashboard, real-time progress, and multi-project support. See [Web Interface](../features/web-interface.md) for details.
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## Alternative Binary Name
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If the `sf` command conflicts with another tool (e.g., the oh-my-zsh git plugin aliases `sf` to `git svn dcommit`), use the alternative:
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```bash
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sf-cli
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```
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Both `sf` and `sf-cli` point to the same binary. To remove the conflict permanently, add this to your `~/.zshrc`:
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```bash
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unalias sf 2>/dev/null
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```
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