atla_op.py
"""
Atla Observability Integration
==============================
Demonstrates adding Atla observability to an Agno agent.
"""
from os import getenv
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.websearch import WebSearchTools
from atla_insights import configure, instrument_agno
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
configure(token=getenv("ATLA_API_KEY"))
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
name="Stock Price Agent",
model=OpenAIChat(id="gpt-4o-mini"),
tools=[WebSearchTools()],
instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
debug_mode=True,
)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Instrument and run
with instrument_agno("openai"):
agent.print_response("What are the latest news about the stock market?")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno atla-insights ddgs openai
3
Export your API keys
export ATLA_API_KEY="your_atla_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:ATLA_API_KEY="your_atla_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
atla_op.py, then run:python atla_op.py