mirror of https://github.com/kortix-ai/suna.git
41 lines
1.1 KiB
Docker
41 lines
1.1 KiB
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Copy requirements first for better layer caching
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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RUN pip install --no-cache-dir gunicorn uvicorn
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# Copy the backend code
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COPY . .
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# Set environment variable
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ENV PYTHONPATH=/app
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# Default environment variables
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ENV DAYTONA_API_KEY=""
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ENV DAYTONA_SERVER_URL=""
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ENV DAYTONA_TARGET=""
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ENV ANTHROPIC_API_KEY=""
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ENV OPENAI_API_KEY=""
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ENV MODEL_TO_USE=""
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ENV TAVILY_API_KEY=""
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ENV RAPID_API_KEY=""
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ENV CLOUDFLARE_API_TOKEN=""
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ENV SUPABASE_URL=""
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ENV SUPABASE_ANON_KEY=""
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ENV SUPABASE_SERVICE_ROLE_KEY=""
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ENV REDIS_HOST=""
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ENV REDIS_PORT=""
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ENV REDIS_PASSWORD=""
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ENV REDIS_SSL=""
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# Expose the port the app runs on
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EXPOSE 8000
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# Command to run the application with Uvicorn directly
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CMD ["gunicorn", "api:app", "--workers", "24", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:8000", "--timeout", "600", "--graceful-timeout", "300", "--keep-alive", "250", "--max-requests", "1000", "--max-requests-jitter", "50", "--log-level", "info", "--forwarded-allow-ips", "*", "--worker-connections", "1000", "--worker-tmp-dir", "/dev/shm", "--preload"] |