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from typing import Iterator from agno.agent import Agent, RunResponse from agno.models.openai import OpenAIChat from agno.tools.duckduckgo import DuckDuckGoTools from agno.utils.pprint import pprint_run_response from rich.pretty import pprint agent = Agent( model=OpenAIChat(id="gpt-4o"), tools=[DuckDuckGoTools(search=True, news=True)], markdown=True, show_tool_calls=True, ) run_stream: Iterator[RunResponse] = agent.run( "What is the latest news about artificial intelligence", stream=True ) pprint_run_response(run_stream, markdown=True) # Print metrics per message if agent.run_response.messages: for message in agent.run_response.messages: if message.role == "assistant": if message.content: print(f"Message: {message.content}") elif message.tool_calls: print(f"Tool calls: {message.tool_calls}") print("---" * 5, "Metrics", "---" * 5) pprint(message.metrics) print("---" * 20) # Print the metrics print("---" * 5, "Aggregated Metrics", "---" * 5) pprint(agent.run_response.metrics) # Print the session metrics print("---" * 5, "Session Metrics", "---" * 5) pprint(agent.session_metrics)
Create a virtual environment
Terminal
python3 -m venv .venv source .venv/bin/activate
Set your API key
export OPENAI_API_KEY=xxx
Install libraries
pip install -U openai agno duckduckgo-search rich
Run Agent
python cookbook/agent_concepts/other/agent_metrics.py
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