Structured Outputs в мультиагентных системах

О чём урок

The user wants a translation of HTML content from English to Russian, following specific rules. I need to be careful to translate only the text, and keep all HTML structure and code intact. Let's break down the translation for each section: **Original:** ```html In this cookbook, we will explore how to use Structured Outputs to build multi-agent systems. Structured Outputs is a new capability that builds upon JSON mode and function calling to enforce a strict schema in a model output. By using the new parameter strict: true, we are able to guarantee the response abides by a provided schema. To demonstrate the power of this feature, we will use it to build a multi-agent system. When using function calling, if the number of functions (or tools) increases, the performance may suffer. To mitigate this, we can logically group the tools together and have specialized "agents" that are able to solve specific tasks or sub-tasks, which will increase the overall system performance. The use case we will tackle is a data analysis task. Let's first set up our 4-agents system: Triaging agent: Decides which agent(s) to call Data pre-processing Agent: Prepares data for analysis - for example by cleaning it up Data Analysis Agent: Performs analysis on the data Data Visualization Agent: Visualizes the output of the analysis to extract insights We will start by defining the system prompts for each of these agents. We will then define the tools for each agent.

План урока

1. Why build a Multi-Agent System?
2. Environment set up
3. Agents set up
4. Data pre-processing agent
5. Data analysis agent
6. Data visualization agent