Last updated
5/12/2025
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Build an Agent
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Evaluate surf-spot finding
Made by
Mozilla.ai
By
Mozilla.ai
Compare agent frameworks on finding the best surf spot
This Blueprint demonstrates how to build a task-specific agent and compare different agent frameworks for a given use case. It uses Any-Agent to enable switching between agent-frameworks and agent evaluation with minimal effort.
The example use-case, finding a good surf spot, shows how to test various combinations of agent frameworks and models, and evaluate the agent’s performance holistically. You can customize this Blueprint to fit your own use-case as needed.
Time
10 min
Complexity
Low
Straightforward development with minimal effort needed
Medium
Moderately complex. Some challenges but manageable
High
Requires significant expertise
Preview this Blueprint in action
Hosted demo
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Step by step walkthrough
Tools used to create
Trusted open source tools used for this Blueprint
Choices
Insights into our motivations and key technical decisions throughout the development process.
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System Requirements
Windows, macOS, or Linux. Python 3.10 or higher. Min RAM: 16 GB. Disk space: 32 GB min.
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Help Documentation
Detailed guidance on GitHub walking you through this project installation.
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Discussion Points
Get involved in improving the Blueprint by visiting the GitHub Blueprint issues.
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Explore Blueprints Extensions
See examples of extended blueprints unlocking new capabilities and adjusted configurations enabling tailored solutions—or try it yourself.
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Want to build your own Blueprints?
See our guidelines for building a top-notch Blueprint.
Must-haves
Open-source models and tools usage
README, pyproject.toml, and organized folder structure
Demo app (Streamlit or Gradio) or jupyter notebook
Config file for easy customization
CLI support
Nice-to-haves
CPU compatibility for most local setups
Google Colab notebook option
PyPI package availability
Dockerfile for the demo app
Diagram of the Blueprint in the README
Setup and guidance docs using mkdocs
