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Integrating Agno with Langtrace

Langtrace provides a powerful platform for tracing and monitoring AI model calls. By integrating Agno with Langtrace, you can gain insights into your agent’s performance and behavior.

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Prerequisites

  1. Install Dependencies Ensure you have the necessary package installed: 
    pip install langtrace-python-sdk
  2. Create a Langtrace Account
    • Sign up for an account at Langtrace.
    • Obtain your API key from the Langtrace dashboard.
  3. Set Environment Variables Configure your environment with the Langtrace API key: 
    export LANGTRACE_API_KEY=<your-key>

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Sending Traces to Langtrace

This example demonstrates how to instrument your Agno agent with Langtrace. 
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from langtrace_python_sdk import langtrace
from langtrace_python_sdk.utils.with_root_span import with_langtrace_root_span

# Initialize Langtrace
langtrace.init()

# Create and configure the agent
agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[YFinanceTools()],
    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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Notes

  • Environment Variables: Ensure your environment variable is correctly set for the API key.
  • Initialization: Call langtrace.init() to initialize Langtrace before using the agent.
By following these steps, you can effectively integrate Agno with Langtrace, enabling comprehensive observability and monitoring of your AI agents.