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Overview

This example demonstrates how to instrument your Agno agent with Langtrace for tracing and monitoring.

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Code

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
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=[DuckDuckGoTools(search=True, news=True)],
    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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Usage

1

Install Dependencies

pip install agno openai langtrace-python-sdk
2

Set Environment Variables

export LANGTRACE_API_KEY=<your-key>
3

Run the Agent

python cookbook/observability/langtrace_op.py

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Notes

  • Initialization: Call langtrace.init() to initialize Langtrace before using the agent.
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