Atla Observability Integration
Historical Atla Insights instrumentation example, retained after the service shutdown.
Atla Insights shut down on February 16, 2026, according to its maintainer notice. This source is retained for historical reference. Use an active observability integration for new projects.
"""
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-5.6-luna"),
tools=[WebSearchTools()],
instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Instrument and run
with instrument_agno("openai"):
agent.print_response("What are the latest news about the stock market?")Full source: cookbook/observability/atla_op.py