Weave

Integrate Agno with Weave by WandB to send traces and gain insights into your agent’s performance.

Integrating Agno with Weave by WandB

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

Prerequisites

1. Install Dependencies

   Ensure you have the necessary packages installed:

   uv pip install agno openai weave
   

2. Authentication Go to WandB and copy your API key

   export WANDB_API_KEY=<your-api-key>
   

Logging Model Calls with Weave

Log your Agno agent’s model calls with Weave.

import weave
from agno.agent import Agent
from agno.models.openai import OpenAIResponses

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

# Create and configure the agent
agent = Agent(model=OpenAIResponses(id="gpt-5.2"), 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")

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.