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Runner CLI - Like gemini-cli or claude-code, runs in your local terminal with AI SDK UI streaming","maintainers":[{"name":"vikainc","email":"dev@vikadata.com"},{"name":"chamberschan","email":"296289253@qq.com"}],"readme":"# @sandagent/runner-cli\n\nSandAgent Runner CLI - A **lightweight, local** command-line interface for running AI agents in your terminal.\n\nLike gemini-cli, claude-code, or codex-cli, this tool runs **directly on your local filesystem** and streams AI SDK UI messages to stdout.\n\n## 🎯 Key Features\n\n- 🔌 **Choose Different Runners**: Switch between Claude, Codex, Gemini, Copilot with `--runner` flag\n- 🚀 **Local Execution**: Runs directly on your filesystem, no sandbox required\n- 💨 **Lightweight**: No manager dependency, minimal overhead\n- 📡 **Streaming**: Real-time AI SDK UI streaming\n\n## 📐 Architecture\n\n```\nrunner-cli → runner-* (direct, NO dependencies on manager or sandbox)\n             ├─ runner-claude ✅\n             ├─ runner-codex ✅\n             ├─ runner-gemini ✅\n             └─ runner-copilot 🚧\n\nDependencies:\n✅ @sandagent/runner-claude (runtime)\n✅ @sandagent/runner-codex (runtime)\n✅ @sandagent/runner-gemini (runtime)\n❌ NO @sandagent/manager\n❌ NO @sandagent/sandbox-*\n```\n\n**Difference from manager-cli:**\n- `runner-cli`: Local filesystem, no isolation, lightweight, direct runner usage\n- `manager-cli`: Sandboxed execution, uses manager + sandbox adapters + runner\n\n## Installation\n\n```bash\n# Global install (recommended if you want the `sandagent` command)\nnpm install -g @sandagent/runner-cli@latest\n\n# Or add to a project\nnpm install @sandagent/runner-cli@latest\n```\n\n## Usage\n\n```bash\nsandagent run [options] -- \"<user input>\"\n```\n\nWithout installing globally, you can also run it via `npx`:\n\n```bash\nnpx -y @sandagent/runner-cli@latest run -- \"Create a hello world script\"\n```\n\n### Basic Examples\n\n```bash\n# Using Claude (default)\nsandagent run -- \"Create a hello world script\"\n\n# Explicitly choose Claude\nsandagent run --runner claude -- \"Create a hello world script\"\n\n# Using Codex\nsandagent run --runner codex -- \"Build a REST API with Express\"\n\n# Using Gemini\nsandagent run --runner gemini -- \"Build a REST API with Express\"\n\n# Using GitHub Copilot (when implemented)\nsandagent run --runner copilot -- \"Refactor this code\"\n\n# With custom system prompt\nsandagent run --runner claude --system-prompt \"You are a coding assistant\" -- \"Build a REST API with Express\"\n```\n\n## Options\n\n| Option | Short | Description | Default |\n|--------|-------|-------------|---------|\n| `--runner <runner>` | `-r` | Runner to use: `claude`, `codex`, `gemini`, `opencode`, `copilot`, `pi` | `claude` |\n| `--model <model>` | `-m` | Model to use | `claude-sonnet-4-20250514` |\n| `--cwd <path>` | `-c` | Working directory | Current directory |\n| `--system-prompt <prompt>` | `-s` | Custom system prompt | - |\n| `--max-turns <n>` | `-t` | Maximum conversation turns | - |\n| `--allowed-tools <tools>` | `-a` | Comma-separated list of allowed tools | - |\n| `--resume <session-id>` | `-r` | Resume a previous session | - |\n| `--help` | `-h` | Show help message | - |\n\n## Output Format\n\n`sandagent run` always outputs AI SDK data stream (SSE) format.\n\n```bash\nsandagent run -- \"Calculate 2+2\"\n```\n\n**Output:**\n```\ndata: {\"type\":\"start\",\"messageId\":\"msg_123\"}\ndata: {\"type\":\"text-delta\",\"id\":\"text_1\",\"delta\":\"The answer is 4.\"}\ndata: [DONE]\n```\n\n## Environment Variables\n\n| Variable | Description | Required |\n|----------|-------------|----------|\n| `ANTHROPIC_API_KEY` | Anthropic API key (Claude runner) | No |\n| `OPENAI_API_KEY` or `CODEX_API_KEY` | OpenAI API key (Codex runner) | No |\n| `GEMINI_API_KEY` | Gemini API key (Gemini runner) | No |\n| `SANDAGENT_WORKSPACE` | Default workspace path | No |\n| `SANDAGENT_LOG_LEVEL` | Logging level (debug, info, warn, error) | No |\n\n## Advanced Examples\n\n### Specify Working Directory\n\n```bash\nsandagent run --cwd ./my-project -- \"Fix the bug in main.ts\"\n```\n\n### Combined Options\n\n```bash\nsandagent run \\\n  -m claude-sonnet-4-20250514 \\\n  --system-prompt \"You are a helpful coding assistant\" \\\n  --max-turns 10 \\\n  -- \"Build a REST API\"\n```\n\n## Architecture\n\nThe CLI is designed to:\n1. Execute in a specific working directory\n2. Load settings from `.claude/settings.json` and `CLAUDE.md` in the project\n3. Stream AI SDK UI messages directly to stdout\n4. Output AI SDK data stream (SSE) format\n\n## 🐳 Docker Image Build\n\nBuild Docker images with agent templates baked in:\n\n```bash\n# Build image\nsandagent image build --name vikadata/sandagent-seo --tag 0.1.0 --template ./templates/seo-agent\n\n# Build and push\nsandagent image build --name vikadata/sandagent-seo --tag 0.1.0 --template ./templates/seo-agent --push\n\n# Without template\nsandagent image build --name vikadata/sandagent --tag 0.1.0\n```\n\n### Image Build Options\n\n| Option | Description | Default |\n|--------|-------------|---------|\n| `--name <name>` | Full image name (e.g. `vikadata/sandagent-seo`) | `sandagent` |\n| `--tag <tag>` | Image tag | `latest` |\n| `--image <full>` | Full image name override (e.g. `myorg/myimage:v1`) | - |\n| `--platform <plat>` | Build platform | `linux/amd64` |\n| `--template <path>` | Path to agent template directory | - |\n| `--push` | Push image to registry after build | `false` |\n\n## Related Documentation\n\n- [Skills](docs/SKILLS.md) — Where skills live and how they are loaded (local and Docker)\n- [Claude Agent SDK](https://platform.claude.com/docs/agent-sdk/typescript)\n- [AI SDK UI Stream Protocol](https://ai-sdk.dev/docs/ai-sdk-ui/stream-protocol)\n","readmeFilename":"README.md"}