Skip to main content

LLM Agents

An LLM Agent is a software entity capable of reasoning and autonomously executing tasks.

GitHub - viktoriasemaan/multi-agent: Examples of AI Multi-Agent Solutions

Building LLM Agents with Tool Use - YouTube

AI Agents Are Changing AWS Cost Prediction - YouTube

SmolAgent - Agents​

Building your agent​

To initialize a minimal agent, you need at least these two arguments:

  • model, a text-generation model to power your agent - because the agent is different from a simple LLM, it is a system that uses a LLM as its engine. You can use any of these options:

  • tools, a list of Tools that the agent can use to solve the task. It can be an empty list. You can also add the default toolbox on top of your tools list by defining the optional argument add_base_tools=True.

CrewAI​

Production-grade framework for orchestrating sophisticated AI agent systems. From simple automations to complex real-world applications, CrewAI provides precise control and deep customization. By fostering collaborative intelligence through flexible, production-ready architecture, CrewAI empowers agents to work together seamlessly, tackling complex business challenges with predictable, consistent results.

Why CrewAI?​

The power of AI collaboration has too much to offer. CrewAI is a standalone framework, built from the ground up without dependencies on Langchain or other agent frameworks. It's designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions.

AI Agents / Tools​

AI Agents Landscape

VertexAI​

References​