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Integrating Agno with Weave by WandB

Weave by Weights & Biases (WandB) provides a powerful platform for logging and visualizing model calls. By integrating Agno with Weave, you can track and analyze your agent’s performance and behavior.

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Prerequisites

  1. Install Weave Ensure you have the Weave package installed: 
    pip install weave
  2. Authentication Go to WandB and copy your API key 
    export WANDB_API_KEY=<your-api-key>

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Logging Model Calls with Weave

This example demonstrates how to use Weave to log model calls. 
import weave
from agno.agent import Agent
from agno.models.openai import OpenAIChat

# Initialize Weave with your project name
weave.init("agno")

# Create and configure the agent
agent = Agent(model=OpenAIChat(id="gpt-5-mini"), markdown=True, debug_mode=True)

# Define a function to run the agent, decorated with weave.op()
@weave.op()
def run(content: str):
    return agent.run(content)

# Use the function to log a model call
run("Share a 2 sentence horror story")

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Notes

  • Environment Variables: Ensure your environment variable is correctly set for the WandB API key.
  • Initialization: Call weave.init("project-name") to initialize Weave with your project name.
  • Decorators: Use @weave.op() to decorate functions you want to log with Weave.
By following these steps, you can effectively integrate Agno with Weave, enabling comprehensive logging and visualization of your AI agents’ model calls.
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