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import asyncio
import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from phoenix.otel import register
# Set environment variables for Arize Phoenix
os.environ["PHOENIX_CLIENT_HEADERS"] = f"api_key={os.getenv('ARIZE_PHOENIX_API_KEY')}"
os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "https://app.phoenix.arize.com"
# Configure the Phoenix tracer
tracer_provider = register(
project_name="agno-stock-price-agent", # Default is 'default'
auto_instrument=True, # Automatically use the installed OpenInference instrumentation
)
# Create and configure the agent
agent = Agent(
name="Stock Price Agent",
model=OpenAIChat(id="gpt-4o-mini"),
tools=[DuckDuckGoTools(search=True, news=True)],
instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
debug_mode=True,
)
# Use the agent
agent.print_response("What is the current price of Tesla?")
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