Summary
Highlights
Since LLMs cannot be downloaded, AI agents access them through APIs. An API (Application Programming Interface) acts as a connector, allowing two software applications to communicate. In this case, it allows an AI agent (the client) to send requests to an LLM hosted on a company's server and receive responses.
The video introduces the topic of APIs and emphasizes their importance in AI agents, stating that almost all AI agents rely on them. It briefly reviews the components of an AI agent: a trigger, a Large Language Model (LLM) with its tools, and actions.
The speaker explains that LLMs, such as those from OpenAI (GPT models), Google (Gemini), and Anthropic (Claude), are pre-trained models. These models are proprietary and cannot be downloaded directly by users. Instead, companies host these models on their servers.
The video illustrates the API process with an example: an AI agent receives a Telegram message (trigger), sends a request via API to OpenAI's server to use its LLM, which processes the message and generates an email. The LLM then sends a response back to the AI agent, which uses another API (e.g., Gmail API) to send the email to the recipient. This demonstrates the request-response cycle.
The speaker briefly mentions that using these powerful LLMs via APIs usually involves a cost, often in the form of 'credits' purchased from the API provider (e.g., OpenAI).
The video reiterates the client-server model. The AI agent functions as the client, requesting services from a server (like OpenAI's LLM server or a Gmail server). APIs are the medium of communication, enabling these software entities to interact effectively.
Two more examples are provided: an AI agent asking an LLM to summarize emails and a mobile phone displaying weather information. In both cases, the client (AI agent or mobile phone) sends a request to a server (LLM or weather service) via an API and receives a processed response. This highlights the ubiquitous nature of APIs in modern applications.
The video concludes by emphasizing that an API is not a communication protocol itself but rather the interface that enables two software programs to exchange information. It suggests that underlying protocols like HTTP requests are used for this communication.