Claude 3.5 Sonnet Function Calling: A Comprehensive Guide

In this video, the Echohive channel provides a comprehensive deep dive into function or tool calling using the latest Claude 3.5 Sonnet model by Anthropic. The video covers ten different examples, ranging from simple to advanced, and includes demonstrations of data extraction, entity extraction, structured data extraction, and building a full chatbot with multiple tools and parallel function calling. The examples are compiled from Anthropic’s tool use repository but have been improved upon for better implementation.

The video begins with a simple streaming response to demonstrate how streaming works, followed by a calculator function that allows the model to use a calculator tool for complex calculations. Next, a Wikipedia researcher example shows how to create a reading list and write it to a markdown file. Sentiment analysis for documents is also covered, demonstrating how to get structured data using function calling.

Entity extraction is explored through examples of extracting named entities and complex entity extraction, which involves classifying articles and retrieving structured data. A language translator tool is also demonstrated, showing how to translate phrases into multiple languages.

The video then delves into complete workflows, starting with a single tool workflow and moving on to multiple tool workflows. The single tool workflow involves creating a chatbot that can call a function when needed, while the multiple tool workflow demonstrates how the model can call multiple tools in parallel within a single conversation turn.

Finally, the video showcases a full chatbot implementation with parallel multiple tool use. This example includes a mock database of users and orders, allowing the chatbot to perform searches and retrievals from the database, demonstrating the model’s ability to handle complex queries and multiple function calls.

Overall, the video provides a thorough and practical guide to using function calling with the Claude 3.5 Sonnet model, offering valuable insights and code examples for viewers to implement in their own projects.