Atla - Agno

The Atla Insights platform shut down on February 16, 2026, and the atla-insights SDK is no longer maintained. This integration no longer works.

Atla is an advanced observability platform designed specifically for AI agent monitoring and evaluation. This integration provides comprehensive insights into agent performance, automated quality assessment, and detailed analytics for production AI systems.

Prerequisites

API Key: Obtain your API key from the Atla dashboard

Install the Atla Insights SDK with Agno support:

uv pip install atla-insights agno openai

Configuration

Configure your API key as an environment variable:

export ATLA_API_KEY="your_api_key_from_atla_dashboard"

Example

from os import getenv
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools
from atla_insights import configure, instrument_agno

# Step 1: Configure Atla
configure(token=getenv("ATLA_API_KEY"))

# Step 2: Create your Agno agent
agent = Agent(
    name="Market Analysis Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    instructions="Provide professional market analysis with data-driven insights.",
    debug_mode=True,
)

# Step 3: Instrument and execute
with instrument_agno("openai"):
    response = agent.run("Retrieve the latest news about the stock market.")
    print(response.content)

Now go to the Atla dashboard and view the traces created by your agent. You can visualize the execution flow, monitor performance, and debug issues directly from the Atla dashboard.

atla-trace — Atla Agent run trace