Weave

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.

Set OpenAI Key

Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.

export OPENAI_API_KEY=sk-***

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.