Agentes de IA
bisheng
Enterprise LLM app platform: GenAI workflows, RAG, agents, model management, evaluation, fine-tuning.
★ 12,0 mil estrelasApache-2.0
Ver o guia →evals é um projeto de agentes de IA de código aberto de strands-agents (strands-agents/evals no GitHub). Tem 230 estrelas no GitHub e 71 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 7 de outubro de 2026.
A complete evaluation toolkit for AI agents.
Write down the job you will use the project for before touching any code.
Download the source and read the README's setup section first.
Run the install steps and add any required API keys or config.
Follow the example in the docs to confirm everything works.
Measure agent quality systematically.
Covers multiple evaluation dimensions.
Works for agents and LLM apps alike.
From the Strands Agents team.
Fits Python agent workflows.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/strands-agents/evals.git
cd evalsSet up a virtual environment and install dependencies.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtExecute a first eval per the README.
# see README for the eval runnersIt is maintained by the Strands Agents team at strands-agents/evals, with 71 forks.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
The framework is free; evaluations consume model calls through your own keys.
Compare on metrics, workflow, and how tightly each fits your agent stack.
Follow the README to run a first evaluation against your agent.
Enterprise LLM app platform: GenAI workflows, RAG, agents, model management, evaluation, fine-tuning.
Build voice-based LLM agents with a modular, open-source toolkit.
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