mirror of https://github.com/kortix-ai/suna.git
chore(setup): update Docker image version to 0.1.3 in setup.py, README, and configuration files
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@ -20,7 +20,7 @@ You can modify the sandbox environment for development or to add new capabilitie
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```
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cd backend/sandbox/docker
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docker compose build
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docker push kortix/suna:0.1.2
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docker push kortix/suna:0.1.3
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```
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3. Test your changes locally using docker-compose
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@ -6,7 +6,7 @@ services:
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dockerfile: ${DOCKERFILE:-Dockerfile}
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args:
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TARGETPLATFORM: ${TARGETPLATFORM:-linux/amd64}
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image: kortix/suna:0.1.2.8
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image: kortix/suna:0.1.3
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ports:
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- "6080:6080" # noVNC web interface
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- "5901:5901" # VNC port
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@ -159,7 +159,7 @@ class Configuration:
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STRIPE_PRODUCT_ID_STAGING: str = 'prod_SCgIj3G7yPOAWY'
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# Sandbox configuration
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SANDBOX_IMAGE_NAME = "tnfssc/suna-sandbox:beta"
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SANDBOX_IMAGE_NAME = "kortix/suna:0.1.3"
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SANDBOX_ENTRYPOINT = "/usr/bin/supervisord -n -c /etc/supervisor/conf.d/supervisord.conf"
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# LangFuse configuration
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@ -115,7 +115,7 @@ As part of the setup, you'll need to:
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1. Create a Daytona account
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2. Generate an API key
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3. Create a Docker image:
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- Image name: `kortix/suna:0.1.2.8`
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- Image name: `kortix/suna:0.1.3`
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- Entrypoint: `/usr/bin/supervisord -n -c /etc/supervisor/conf.d/supervisord.conf`
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## Manual Configuration
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2
setup.py
2
setup.py
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@ -197,7 +197,7 @@ def collect_daytona_info():
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print_info("Then, generate an API key from 'Keys' menu")
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print_info("After that, go to Images (https://app.daytona.io/dashboard/images)")
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print_info("Click '+ Create Image'")
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print_info(f"Enter 'kortix/suna:0.1.2.8' as the image name")
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print_info(f"Enter 'kortix/suna:0.1.3' as the image name")
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print_info(f"Set '/usr/bin/supervisord -n -c /etc/supervisor/conf.d/supervisord.conf' as the Entrypoint")
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input("Press Enter to continue once you've completed these steps...")
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