Building Autonomous Multi-Tool Agents with Gemini 2.0 and LangGraph | by Youness Mansar | January, 2025
A practical tutorial with full code examples for building and deploying multi-tooled agents
LLMs are amazing – they can memorize huge amounts of information, answer general knowledge questions, write codes, produce stories, and even fix your grammar. However, they have no limits. See pleasethey have a knowledge disconnect that can range from a few months to a few years, and they are stuck in text production, unable to communicate with the real world. This restricts their use for tasks that require real-time data, source citations, or tasks beyond text generation. This is the main issue Agents and Tools try to solve: close this gap by increasing LLMs with additional skills. These improvements allow LLMs to access the latest information, interact with APIs, Search, and even influence the physical world, such as adjusting the temperature of a smart home.
In this tutorial, we will build a simple LLM agent equipped with four tools that can be used to answer a user's query. This Agent will have the following specifications:
- It can answer general knowledge questions about the latest it is confirmed information.
- It can use four types of tools: DuckDuckGo…
