Initial agent implementation
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- Node.js Alpine base with Claude Code CLI - MCP configuration for backend communication - Git and development tools pre-installed - K8s deployment manifests - CI/CD workflow for automatic builds Co-Authored-By: Claude Sonnet 4.5 (1M context) <noreply@anthropic.com>
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.dockerignore
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.dockerignore
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node_modules
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.git
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.gitignore
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*.md
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*.log
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.gitea/workflows/build.yml
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.gitea/workflows/build.yml
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name: Build and Push Agent
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on:
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push:
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branches: [main]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v3
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- name: Build Docker image
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run: docker build -t git.fuq.tv/admin/aiworker-agent:${{ gitea.sha }} .
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- name: Tag as latest
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run: docker tag git.fuq.tv/admin/aiworker-agent:${{ gitea.sha }} git.fuq.tv/admin/aiworker-agent:latest
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- name: Login to Gitea registry
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run: echo "${{ secrets.REGISTRY_PASSWORD }}" | docker login git.fuq.tv -u admin --password-stdin
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- name: Push images
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run: |
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docker push git.fuq.tv/admin/aiworker-agent:${{ gitea.sha }}
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docker push git.fuq.tv/admin/aiworker-agent:latest
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.gitignore
vendored
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.gitignore
vendored
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node_modules
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*.log
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.DS_Store
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Dockerfile
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Dockerfile
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FROM node:20-alpine
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# Install system dependencies
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RUN apk add --no-cache \
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git \
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bash \
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curl \
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openssh-client \
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ca-certificates
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# Install Claude Code CLI
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RUN npm install -g @anthropic-ai/claude-code
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# Install common development tools
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RUN npm install -g \
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typescript \
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ts-node
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# Create workspace directory
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WORKDIR /workspace
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# Copy MCP configuration
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COPY mcp-config.json /root/.claude/config.json
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# Keep container running and ready for commands
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CMD ["tail", "-f", "/dev/null"]
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README.md
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README.md
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# AiWorker Agent
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Claude Code agent running in Kubernetes pods to autonomously complete development tasks.
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## Architecture
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The agent:
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- Runs in K8s namespace `agents`
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- Communicates with backend via MCP protocol
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- Has access to Git repositories via Gitea
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- Reports progress and status to backend API
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## Local Development
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This is a containerized agent meant to run in Kubernetes. For local testing:
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```bash
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docker build -t aiworker-agent:local .
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docker run -it --rm \
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-e ANTHROPIC_API_KEY=your_key \
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-e BACKEND_URL=http://localhost:3000 \
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aiworker-agent:local \
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/bin/bash
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```
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## Deployment
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See `k8s/agents/README.md` for deployment instructions.
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## MCP Tools
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The agent uses these MCP tools to communicate with the backend:
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- `get_next_task` - Get next task from queue
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- `update_task_status` - Update task state
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- `create_branch` - Create Git branch for task
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- `create_pull_request` - Create PR when task is complete
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- `ask_user_question` - Request user input when needed
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## Environment Variables
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- `ANTHROPIC_API_KEY` - Claude API key
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- `BACKEND_URL` - Backend API URL
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- `MCP_SERVER_URL` - MCP server URL
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- `GITEA_URL` - Gitea URL
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- `GITEA_TOKEN` - Gitea access token
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- `POD_NAME` - Pod name (auto-injected by K8s)
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- `NAMESPACE` - Namespace (auto-injected by K8s)
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mcp-config.json
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mcp-config.json
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{
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"mcpServers": {
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"aiworker-backend": {
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"command": "node",
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"args": ["-e", "console.log('MCP client placeholder')"],
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"env": {
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"BACKEND_URL": "http://backend.control-plane.svc.cluster.local:3000",
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"MCP_SERVER_URL": "http://backend.control-plane.svc.cluster.local:3100"
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}
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}
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}
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}
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