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6.0 KiB
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{"repo": "alpercaglar11-hub/openclaw-sandbox", "files": {"docker-compose.yml": {"a43f73bcf16a91accc85c252f05f81cd4b01039b": {"t": 1785745256.6596036, "n": 1415, "h": "d841dbc75d25d6a0", "c": "# OpenClaw Autonomous Runtime - Production Docker Compose\n# Usage: sg docker -c \"docker compose up --build -d\"\n# Note: Start Ollama on host before launching.\n\nservices:\n router:\n build:\n context: .\n dockerfile: Dockerfile\n container_name: openclaw-router\n ports:\n - \"8000:8000\"\n environment:\n - OLLAMA_URL=\n - DEEPSEEK_API_KEY=sk-f1e645f0adec4da0b349e515ae61feee\n - DEEPSEEK_BASE_URL=https://api.deepseek.com/v1\n - DEEPSEEK_MODEL=deepseek-chat\n - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}\n - ADMIN_CHAT_ID=${ADMIN_CHAT_ID:-}\n - LOG_LEVEL=INFO\n volumes:\n - ./workspace:/app/workspace\n - ./logs:/app/logs\n - /var/run/docker.sock:/var/run/docker.sock\n - /home/alper/videolar/labs/the-cascade-simulation:/app/cascade\n healthcheck:\n test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8000/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n start_period: 10s\n networks:\n - ai-stack\n\n dashboard:\n build:\n context: ./dashboard\n dockerfile: Dockerfile\n container_name: openclaw-dashboard\n ports:\n - \"3000:80\"\n depends_on:\n router:\n condition: service_healthy\n healthcheck:\n test: [\"CMD\", \"wget\", \"-qO-\", \"http://127.0.0.1/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n networks:\n - ai-stack\n\nnetworks:\n ai-stack:\n driver: bridge\n"}, "df0af36ee57ad25f8e4321eed5f1d782f8135a5c": {"t": 1785749313.6436036, "n": 1415, "h": "d841dbc75d25d6a0", "c": "# OpenClaw Autonomous Runtime - Production Docker Compose\n# Usage: sg docker -c \"docker compose up --build -d\"\n# Note: Start Ollama on host before launching.\n\nservices:\n router:\n build:\n context: .\n dockerfile: Dockerfile\n container_name: openclaw-router\n ports:\n - \"8000:8000\"\n environment:\n - OLLAMA_URL=\n - DEEPSEEK_API_KEY=sk-f1e645f0adec4da0b349e515ae61feee\n - DEEPSEEK_BASE_URL=https://api.deepseek.com/v1\n - DEEPSEEK_MODEL=deepseek-chat\n - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}\n - ADMIN_CHAT_ID=${ADMIN_CHAT_ID:-}\n - LOG_LEVEL=INFO\n volumes:\n - ./workspace:/app/workspace\n - ./logs:/app/logs\n - /var/run/docker.sock:/var/run/docker.sock\n - /home/alper/videolar/labs/the-cascade-simulation:/app/cascade\n healthcheck:\n test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8000/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n start_period: 10s\n networks:\n - ai-stack\n\n dashboard:\n build:\n context: ./dashboard\n dockerfile: Dockerfile\n container_name: openclaw-dashboard\n ports:\n - \"3000:80\"\n depends_on:\n router:\n condition: service_healthy\n healthcheck:\n test: [\"CMD\", \"wget\", \"-qO-\", \"http://127.0.0.1/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n networks:\n - ai-stack\n\nnetworks:\n ai-stack:\n driver: bridge\n"}, "d34f6695f33e4ed88fc9cacbd3ce726c8f0b96b1": {"t": 1785749315.1079187, "n": 1226, "h": "ef5166b437aebc17", "c": "# OpenClaw Autonomous Runtime - Production Docker Compose\n# Usage: sg docker -c \"docker compose up --build -d\"\n# Note: Start Ollama on host before launching.\n\nservices:\n router:\n build:\n context: .\n dockerfile: Dockerfile\n container_name: openclaw-router\n ports:\n - \"8000:8000\"\n environment:\n - OLLAMA_URL=http://host.docker.internal:11434\n - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}\n - ADMIN_CHAT_ID=${ADMIN_CHAT_ID:-}\n - LOG_LEVEL=INFO\n volumes:\n - ./workspace:/app/workspace\n - ./logs:/app/logs\n - /var/run/docker.sock:/var/run/docker.sock\n healthcheck:\n test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8000/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n start_period: 10s\n networks:\n - ai-stack\n\n dashboard:\n build:\n context: ./dashboard\n dockerfile: Dockerfile\n container_name: openclaw-dashboard\n ports:\n - \"3000:80\"\n depends_on:\n router:\n condition: service_healthy\n healthcheck:\n test: [\"CMD\", \"wget\", \"-qO-\", \"http://127.0.0.1/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n networks:\n - ai-stack\n\nnetworks:\n ai-stack:\n driver: bridge\n"}, "08ef38dacc50c9c9144838489ceb06dfbe7e5bdc": {"t": 1785749317.3302076, "n": 1226, "h": "9efa420f0669214c", "c": "# OpenClaw Autonomous Runtime - Production Docker Compose\n# Usage: sg docker -c \"docker compose up --build -d\"\n# Note: Start Ollama on host before launching.\n\nservices:\n router:\n build:\n context: .\n dockerfile: Dockerfile\n container_name: openclaw-router\n ports:\n - \"8000:8000\"\n environment:\n - OLLAMA_URL=http://host.docker.internal:11434\n - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}\n - ADMIN_CHAT_ID=${ADMIN_CHAT_ID:-}\n - LOG_LEVEL=INFO\n volumes:\n - ./workspace:/app/workspace\n - ./logs:/app/logs\n - /var/run/docker.sock:/var/run/docker.sock\n healthcheck:\n test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8000/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n start_period: 10s\n networks:\n - ai-stack\n\n dashboard:\n build:\n context: ./dashboard\n dockerfile: Dockerfile\n container_name: openclaw-dashboard\n ports:\n - \"3000:80\"\n depends_on:\n router:\n condition: service_healthy\n healthcheck:\n test: [\"CMD\", \"wget\", \"-qO-\", \"http://localhost/health\"]\n interval: 10s\n timeout: 5s\n retries: 3\n networks:\n - ai-stack\n\nnetworks:\n ai-stack:\n driver: bridge\n"}}}} |