Agentes de IA
deepteam
Open-source red-teaming framework that stress-tests LLMs and AI agents.
★ 3,0k estrellasApache-2.0
Ver la guía →deepeval es un proyecto de agentes de IA de código abierto de confident-ai (confident-ai/deepeval en GitHub). Tiene 18.695 estrellas en GitHub y 2.032 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 7 de octubre de 2026.
Unit tests for LLMs — evaluate before you ship.
Pick one concrete task so you can judge whether the project fits.
Clone the repo and check the prerequisites listed in the README.
Install what it needs and configure credentials or model access.
Run a minimal example end to end before wiring it into your stack.
A library of evaluation metrics for model outputs.
Integrates with pytest-style workflows.
Catch quality drops between model versions.
Maintained by confident-ai with docs and cloud options.
Apache-2.0 licensed.
Designed to run in automated pipelines.
Install DeepEval from PyPI.
pip install deepevalDefine metrics over your model's outputs in a test file.
# see README for metric examples
# test_example.pyExecute the evaluation suite.
deepeval test run test_example.pyIt is maintained by confident-ai at confident-ai/deepeval, with 2,032 forks.
The open-source framework is free under Apache-2.0; a cloud tier also exists.
Core evals run locally; some metrics may call models through your own API keys.
Compare with Ragas, LangSmith evals, and others on metrics coverage and workflow fit.
Install the package, write a test file with your metrics, and run it.
Open-source red-teaming framework that stress-tests LLMs and AI agents.
Put guardrails on LLMs: validate outputs before they reach users.
Open-source LLM observability: monitor, evaluate, and experiment.
A rigorous benchmark for LLMs acting as agents.
Chinese-language course on AI basics: GPU architecture, CUDA, LLMs, and agents.
JADX plugin + MCP server that lets LLMs analyze Android APKs live — decompile, review, find vulnerabilities
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Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a deepeval: sigue explorando a ambos lados.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.