googlecloudplatform--generative-ai
wehub-resource-sync
66 行
2.3 KiB
Python
66 行
2.3 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import os
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from typing import Any
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import vertexai
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from dotenv import load_dotenv
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from google.adk.artifacts import GcsArtifactService, InMemoryArtifactService
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from google.cloud import logging as google_cloud_logging
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from vertexai.agent_engines.templates.adk import AdkApp
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from app.agent import app as adk_app
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from app.app_utils.telemetry import setup_telemetry
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from app.app_utils.typing import Feedback
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# Load environment variables from .env file at runtime
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load_dotenv()
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class AgentEngineApp(AdkApp):
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def set_up(self) -> None:
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"""Initialize the agent engine app with logging and telemetry."""
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vertexai.init()
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setup_telemetry()
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super().set_up()
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logging.basicConfig(level=logging.INFO)
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logging_client = google_cloud_logging.Client()
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self.logger = logging_client.logger(__name__)
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if gemini_location:
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os.environ["GOOGLE_CLOUD_LOCATION"] = gemini_location
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def register_feedback(self, feedback: dict[str, Any]) -> None:
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"""Collect and log feedback."""
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feedback_obj = Feedback.model_validate(feedback)
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self.logger.log_struct(feedback_obj.model_dump(), severity="INFO")
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def register_operations(self) -> dict[str, list[str]]:
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"""Registers the operations of the Agent."""
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operations = super().register_operations()
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operations[""] = [*operations.get("", []), "register_feedback"]
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return operations
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gemini_location = os.environ.get("GOOGLE_CLOUD_LOCATION")
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logs_bucket_name = os.environ.get("LOGS_BUCKET_NAME")
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agent_runtime = AgentEngineApp(
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app=adk_app,
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artifact_service_builder=lambda: (
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GcsArtifactService(bucket_name=logs_bucket_name)
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if logs_bucket_name
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else InMemoryArtifactService()
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),
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)
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