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5/12/2025
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Build an Agent
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.

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Tools used to create

Trusted open source tools used for this Blueprint

LiteLLM

LiteLLM is used to easily swap models across providers using the same API

Any-Agent

Any-Agent is used to easily swap and evaluate different agent-frameworks using a single interface.

Streamlit

Streamlit provides a UI to demo and compare different approaches and agent frameworks for surf-spot finding.

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Evaluation
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Model Training
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Synthetic Data Detection
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OCR
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Agents
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BYOTA
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Finetune STT with your voice
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Map Features in OSM with CV
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Finetune LLM using Federated AI
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