mirror of https://github.com/kortix-ai/suna.git
migration to gemini-2.5-pro
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@ -150,7 +150,7 @@ class BrowserTool(SandboxToolsBase):
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return True
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else:
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# If the browser api is not healthy, we need to restart the browser api
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model_api_key = config.OPENAI_API_KEY
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model_api_key = config.GEMINI_API_KEY
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response = await self.sandbox.process.exec(f"curl -X POST 'http://localhost:8004/api/init' -H 'Content-Type: application/json' -d '{{\"api_key\": \"{model_api_key}\"}}'", timeout=90)
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if response.exit_code == 0:
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@ -333,7 +333,7 @@ class BrowserTool(SandboxToolsBase):
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"properties": {
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"action": {
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"type": "string",
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"description": "The action to perform. Examples: 'click the login button', 'fill in the email field with test@example.com', 'scroll down to see more content', 'select option 2 from the dropdown', 'press Enter', 'go back', 'wait 5 seconds', 'click at coordinates 100,200', 'drag the file icon to the drop zone', 'select United States from the country dropdown'"
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"description": "The action to perform. Examples: 'click the login button', 'fill in the email field with %email%', 'scroll down to see more content', 'select option 2 from the dropdown', 'press Enter', 'go back', 'wait 5 seconds', 'click at coordinates 100,200', 'select United States from the country dropdown'"
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},
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"variables": {
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"type": "object",
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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:0.1.3.6
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docker push kortix/suna:0.1.3.7
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```
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3. Test your changes locally using docker-compose
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@ -44,7 +44,7 @@ class BrowserAutomation {
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logger: (logLine: LogLine) => {
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console.log(`[${logLine.category}] ${logLine.message}`);
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},
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modelName: "openai/gpt-5",
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modelName: "google/gemini-2.5-pro",
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modelClientOptions: {
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apiKey
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},
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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:0.1.3.6
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image: kortix/suna:0.1.3.7
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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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@ -280,8 +280,8 @@ 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 = "kortix/suna:0.1.3.6"
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SANDBOX_SNAPSHOT_NAME = "kortix/suna:0.1.3.6"
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SANDBOX_IMAGE_NAME = "kortix/suna:0.1.3.7"
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SANDBOX_SNAPSHOT_NAME = "kortix/suna:0.1.3.7"
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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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@ -127,8 +127,8 @@ 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 Snapshot:
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- Name: `kortix/suna:0.1.3.6`
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- Image name: `kortix/suna:0.1.3.6`
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- Name: `kortix/suna:0.1.3.7`
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- Image name: `kortix/suna:0.1.3.7`
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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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4
setup.py
4
setup.py
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@ -669,8 +669,8 @@ class SetupWizard:
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f"Visit {Colors.GREEN}https://app.daytona.io/dashboard/snapshots{Colors.ENDC}{Colors.CYAN} to create a snapshot."
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)
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print_info("Create a snapshot with these exact settings:")
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print_info(f" - Name:\t\t{Colors.GREEN}kortix/suna:0.1.3.6{Colors.ENDC}")
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print_info(f" - Snapshot name:\t{Colors.GREEN}kortix/suna:0.1.3.6{Colors.ENDC}")
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print_info(f" - Name:\t\t{Colors.GREEN}kortix/suna:0.1.3.7{Colors.ENDC}")
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print_info(f" - Snapshot name:\t{Colors.GREEN}kortix/suna:0.1.3.7{Colors.ENDC}")
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print_info(
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f" - Entrypoint:\t{Colors.GREEN}/usr/bin/supervisord -n -c /etc/supervisor/conf.d/supervisord.conf{Colors.ENDC}"
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)
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