51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
#!/usr/bin/env python3
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"""
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deploy_agent.py — Deploy ADK agent til Vertex AI Agent Engine
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Usage: python3 deploy_agent.py [--project PROJECT_ID] [--region REGION] \
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[--display-name DISPLAY_NAME] [--staging-bucket GS_URI]
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Krever: google-cloud-aiplatform>=1.157.0, google-adk>=2.0.0
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"""
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import argparse
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import sys
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import vertexai
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from vertexai import agent_engines # riktig import for SDK >= 1.157.0
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def deploy(project: str, region: str, display_name: str, staging_bucket: str):
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print(f"Initialiserer Vertex AI: project={project}, region={region}")
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vertexai.init(project=project, location=region, staging_bucket=staging_bucket)
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# Importer Jason ADK agent
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sys.path.insert(0, ".")
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import agent as my_agent
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print(f"Deployer agent '{display_name}' til Vertex AI Agent Engine i {region}...")
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remote_agent = agent_engines.create(
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my_agent.root_agent,
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requirements=[
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"google-cloud-aiplatform[adk,agent_engines]>=1.157.0",
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"google-adk>=2.2.0",
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"httpx>=0.27.0",
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"google-auth>=2.29.0",
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],
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display_name=display_name,
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)
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print(f"\n✅ Agent deployet!")
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print(f" Resource name : {remote_agent.resource_name}")
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print(f" Console : https://console.cloud.google.com/ai/agents?project={project}")
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print(f" Region : {region}")
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print("\n⚠️ Husk: kjør teardown når du er ferdig for å unngå unnødige kostnader.")
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return remote_agent
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Deploy Jason ADK agent til Vertex AI")
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parser.add_argument("--project", default="propane-will-491900-m5")
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parser.add_argument("--region", default="us-central1")
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parser.add_argument("--display-name", default="jason-vauger-v1")
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parser.add_argument("--staging-bucket", default="gs://propane-will-491900-m5-agent-staging")
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args = parser.parse_args()
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deploy(args.project, args.region, args.display_name, args.staging_bucket)
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