AI Observability & Evaluation
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Updated
Jan 28, 2025 - Jupyter Notebook
AI Observability & Evaluation
OpenTelemetry Instrumentation for AI Observability
Unlock 650+ MCP servers tools in your favorite agentic framework.
An example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs
A FastAPI extension for integrating common AI agent frameworks.
A collection of awesome web2 and web3 AI agents and workflows using OpenAI compatible LLMs.
🤗 Prueba de concepto de un chat interactivo construido con Flask y Tailwind CSS. Utiliza smolagents para generar respuestas a preguntas. Incluye formateo básico de texto y una interfaz minimalista. Proyecto en desarrollo con fines de prueba y aprendizaje.
A sophisticated system that uses multiple AI agents to research, create, and polish video scripts for social media platforms. The system employs specialized agents for research, script writing, polishing, and evaluation to ensure high-quality, engaging content.
An Agentic AI Research Playground for building AI Agents and Mult-Agent systems leveraging open-source models, libraries, and frameworks. Models used to run agents locally on Nvidia RTX A2000 GPU - 8GB VRAM include the quantized Ollama models: llama3.1:8b-instruct-q8_0, llama3.1:8b_q8_0, qwen2.5:7b-instruct-q8_0, and qwen2.5-coder:7b-instruct-q8_0.
Leverage the power of Celery and SmolAgents in this Python project. Build scalable, distributed workflows with intelligent agents that handle tasks efficiently and asynchronously.
Unlock 650+ MCP servers tools in your favorite agentic framework.
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