Agno Instrumentation

Quick setup? Instead of following these steps manually, copy a prompt into your coding agent and it will set this up for you automatically.

LangWatch integrates with Agno through OpenInference instrumentation to capture traces from your Agno agents automatically.

Installation

pip install langwatch agno openai openinference-instrumentation-agno

uv add langwatch agno openai openinference-instrumentation-agno

Usage

The LangWatch API key is configured by default via the LANGWATCH_API_KEY environment variable.

Use the OpenInference instrumentation for Agno by passing AgnoInstrumentor to langwatch.setup().

import langwatch
import os

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from openinference.instrumentation.agno import AgnoInstrumentor

langwatch.setup(instrumentors=[AgnoInstrumentor()])

# Create and configure your Agno agent
agent = Agent(
    name="A helpful AI Assistant",
    model=OpenAIChat(id="gpt-6-luna"),
    tools=[],
    instructions="You are a helpful AI Assistant.",
    debug_mode=True,
)

agent.print_response("Tell me a joke.")

The AgnoInstrumentor automatically captures all Agno agent activity. All traces will be sent to your LangWatch dashboard without requiring manual OpenTelemetry configuration.

Check it worked

Run the example. Then open your project in LangWatch: a new trace appears in the traces list within a few seconds. Open it to see the Agno agent run and the model calls it made. If no trace appears, check that LANGWATCH_API_KEY is set in the environment the script runs in.

Capturing RAG - Learn how to capture RAG data from retrievers and tools
Capturing Metadata and Attributes - Add custom metadata and attributes to your traces and spans
Capturing Evaluations & Guardrails - Log evaluations and implement guardrails in your Agno applications

Last modified on October 29, 2026

Overview

Tools

Agno Instrumentation

Installation

Usage

Check it worked

​Installation

​Usage

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​Related

Installation

Usage

Check it worked

Related