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| 1 | +"""Run the ADK dice agent with standard OTLP export -- no agentevals SDK. |
| 2 | +
|
| 3 | +Demonstrates zero-code integration: ADK auto-instruments itself through |
| 4 | +the global TracerProvider, so the only setup needed is a standard |
| 5 | +OTLPSpanExporter pointing at the agentevals receiver. |
| 6 | +
|
| 7 | +Unlike the LangChain and Strands zero-code examples, ADK needs no |
| 8 | +instrumentor call, no LoggerProvider, and no special environment variables. |
| 9 | +ADK puts message content directly on span attributes (gcp.vertex.agent.*). |
| 10 | +
|
| 11 | +Prerequisites: |
| 12 | + 1. pip install -r requirements.txt |
| 13 | + 2. agentevals serve --dev |
| 14 | + 3. export GOOGLE_API_KEY="your-key-here" |
| 15 | +
|
| 16 | +Usage: |
| 17 | + python examples/zero-code-examples/adk/run.py |
| 18 | +""" |
| 19 | + |
| 20 | +import asyncio |
| 21 | +import os |
| 22 | +import sys |
| 23 | + |
| 24 | +from dotenv import load_dotenv |
| 25 | +from google.adk.runners import InMemoryRunner |
| 26 | +from google.genai import types |
| 27 | +from opentelemetry import trace |
| 28 | +from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter |
| 29 | +from opentelemetry.sdk.resources import Resource |
| 30 | +from opentelemetry.sdk.trace import TracerProvider |
| 31 | +from opentelemetry.sdk.trace.export import BatchSpanProcessor |
| 32 | + |
| 33 | +sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "dice_agent")) |
| 34 | +from agent import dice_agent |
| 35 | + |
| 36 | +load_dotenv(override=True) |
| 37 | + |
| 38 | + |
| 39 | +async def main(): |
| 40 | + if not os.getenv("GOOGLE_API_KEY"): |
| 41 | + print("GOOGLE_API_KEY not set.") |
| 42 | + return |
| 43 | + |
| 44 | + endpoint = os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4318") |
| 45 | + print(f"OTLP endpoint: {endpoint}") |
| 46 | + |
| 47 | + os.environ.setdefault( |
| 48 | + "OTEL_RESOURCE_ATTRIBUTES", |
| 49 | + "agentevals.eval_set_id=dice_agent_eval,agentevals.session_name=adk-zero-code", |
| 50 | + ) |
| 51 | + |
| 52 | + resource = Resource.create() |
| 53 | + |
| 54 | + tracer_provider = TracerProvider(resource=resource) |
| 55 | + tracer_provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter(), schedule_delay_millis=1000)) |
| 56 | + trace.set_tracer_provider(tracer_provider) |
| 57 | + |
| 58 | + app_name = "dice_agent_app" |
| 59 | + user_id = "demo_user" |
| 60 | + |
| 61 | + runner = InMemoryRunner(agent=dice_agent, app_name=app_name) |
| 62 | + session = await runner.session_service.create_session(app_name=app_name, user_id=user_id) |
| 63 | + |
| 64 | + test_queries = [ |
| 65 | + "Hi! Can you help me?", |
| 66 | + "Roll a 20-sided die for me", |
| 67 | + "Is the number you rolled prime?", |
| 68 | + ] |
| 69 | + |
| 70 | + for i, query in enumerate(test_queries, 1): |
| 71 | + print(f"\n[{i}/{len(test_queries)}] User: {query}") |
| 72 | + |
| 73 | + content = types.Content(role="user", parts=[types.Part.from_text(text=query)]) |
| 74 | + |
| 75 | + agent_response = "" |
| 76 | + async for event in runner.run_async(user_id=user_id, session_id=session.id, new_message=content): |
| 77 | + if event.content.parts and event.content.parts[0].text: |
| 78 | + agent_response = event.content.parts[0].text |
| 79 | + |
| 80 | + print(f" Agent: {agent_response}") |
| 81 | + |
| 82 | + print() |
| 83 | + tracer_provider.force_flush() |
| 84 | + print("All traces flushed to OTLP receiver.") |
| 85 | + |
| 86 | + |
| 87 | +if __name__ == "__main__": |
| 88 | + asyncio.run(main()) |
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