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Also formatted the files in that folder in this same commit. PiperOrigin-RevId: 766885306
112 lines
3.6 KiB
Python
Executable File
112 lines
3.6 KiB
Python
Executable File
# Copyright 2025 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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# http://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 asyncio
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import os
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import time
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import agent
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from dotenv import load_dotenv
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from google.adk.agents.run_config import RunConfig
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from google.adk.runners import InMemoryRunner
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from google.adk.sessions import Session
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from google.genai import types
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from opentelemetry import trace
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from opentelemetry.exporter.cloud_trace import CloudTraceSpanExporter
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from opentelemetry.sdk.trace import export
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from opentelemetry.sdk.trace import TracerProvider
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load_dotenv(override=True)
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async def main():
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app_name = 'my_app'
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user_id_1 = 'user1'
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runner = InMemoryRunner(
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agent=agent.root_agent,
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app_name=app_name,
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)
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session_11 = await runner.session_service.create_session(
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app_name=app_name, user_id=user_id_1
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)
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async def run_prompt(session: Session, new_message: str):
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content = types.Content(
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role='user', parts=[types.Part.from_text(text=new_message)]
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)
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print('** User says:', content.model_dump(exclude_none=True))
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async for event in runner.run_async(
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user_id=user_id_1,
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session_id=session.id,
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new_message=content,
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):
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if event.content.parts and event.content.parts[0].text:
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print(f'** {event.author}: {event.content.parts[0].text}')
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async def run_prompt_bytes(session: Session, new_message: str):
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content = types.Content(
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role='user',
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parts=[
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types.Part.from_bytes(
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data=str.encode(new_message), mime_type='text/plain'
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)
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],
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)
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print('** User says:', content.model_dump(exclude_none=True))
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async for event in runner.run_async(
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user_id=user_id_1,
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session_id=session.id,
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new_message=content,
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run_config=RunConfig(save_input_blobs_as_artifacts=True),
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):
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if event.content.parts and event.content.parts[0].text:
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print(f'** {event.author}: {event.content.parts[0].text}')
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start_time = time.time()
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print('Start time:', start_time)
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print('------------------------------------')
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await run_prompt(session_11, 'Hi')
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await run_prompt(session_11, 'Roll a die with 100 sides')
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await run_prompt(session_11, 'Roll a die again with 100 sides.')
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await run_prompt(session_11, 'What numbers did I got?')
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await run_prompt_bytes(session_11, 'Hi bytes')
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print(
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await runner.artifact_service.list_artifact_keys(
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app_name=app_name, user_id=user_id_1, session_id=session_11.id
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)
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)
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end_time = time.time()
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print('------------------------------------')
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print('End time:', end_time)
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print('Total time:', end_time - start_time)
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if __name__ == '__main__':
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provider = TracerProvider()
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project_id = os.environ.get('GOOGLE_CLOUD_PROJECT')
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if not project_id:
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raise ValueError('GOOGLE_CLOUD_PROJECT environment variable is not set.')
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print('Tracing to project', project_id)
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processor = export.BatchSpanProcessor(
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CloudTraceSpanExporter(project_id=project_id)
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)
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provider.add_span_processor(processor)
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trace.set_tracer_provider(provider)
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asyncio.run(main())
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provider.force_flush()
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print('Done tracing to project', project_id)
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