Here’s the translation to American English:
The development of artificial intelligence (AI) agents is changing the way we interact with technology in significant ways. Unlike simple chatbots, these agents have the ability to “call tools,” allowing them to perform concrete tasks in the real world, such as reading emails, browsing the web, and manipulating files. This feature makes them truly effective tools for users.
However, a significant problem persists in the developer community: tool integration. When creating an AI agent, it’s common to need to integrate multiple services, such as Gmail and various APIs. Initially, developers had to perform these integrations manually, which not only became tedious but also limited the evolution and adaptation of the agents.
This process created bottlenecks in the agent provider ecosystem. If a developer wanted to add a new tool, they often found themselves in a position of having to wait for the provider to develop that specific integration, something that frequently wasn’t a priority for the company.
To address this issue, the community has proposed the Contextual Protocol Model (CPM), a solution aimed at standardizing communication between agents and tools. With the CPM, agent providers would only need to implement a single communication protocol, allowing any tool to translate its functionality into a format understandable by AI models.
Despite the promises this solution offers, the CPM still faces challenges that could undermine its effectiveness and adoption in the sector. Large-scale implementation and universal acceptance of the protocol remain debated topics in the community, highlighting the urgent need to overcome these obstacles in order to unlock the full potential of AI agents.
via: MiMub in Spanish
