LangWatch

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Prerequisites

1. Install Dependencies
   pip install agno openai langwatch openinference-instrumentation-agno
   
2. Create a Langwatch Account
   • Sign up or log in to your LangWatch dashboard.
   • Obtain your API key from your project settings.
3. Set Environment Variables
   export LANGWATCH_API_KEY=your-langwatch-api-key
   export OPENAI_API_KEY=your-openai-key
   

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Sending Traces to LangWatch

import langwatch
import os

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

# Initialize LangWatch and instrument Agno
langwatch.setup(
    instrumentors=[AgnoInstrumentor()]
)

agent = Agent(
    name="Research Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGoTools(search=True, news=True)],
    instructions="You are a research agent. Answer questions in the style of a professional researcher.",
    debug_mode=True,
)

agent.print_response("What is the latest news about artificial intelligence?")

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Notes

• No OpenTelemetry Setup Needed: You do not need to set any OpenTelemetry environment variables or configure exporters manually—langwatch.setup() handles everything.
• Troubleshooting: If you see no traces in LangWatch, ensure your LANGWATCH_API_KEY is set and that the instrumentor is included in langwatch.setup().
• For advanced configuration (custom attributes, endpoint, etc.), see the LangWatch Python integration guide.