OpenAI function calling example Example curl requests for OpenAI's function calling API using a local Ollama docker container with This notebook takes you through how to use LangChain to augment an OpenAI model with access to external tools. It demonstrates how to implement a Retrieval-Augmented We are introducing Structured Outputs in the API—model outputs now reliably adhere to developer-supplied JSON Schemas. However, Learn about the tools available for OpenAI Assistants, including file search, code interpreter, and function calling. There are three classes of tools in the Agent SDK: To implement Step 1 from the tool calling flow — see chapter 3 — the program needs to describe to the model what the tools are: this is done using JSON Schemas and a Single tool/function calling example First demonstrate a toy function call that can check the time in three hardcoded locations with a single tool/function defined. OpenAI provides a variety of services, tools, and use cases to assist companies, developers, and academics in implementing AI . Example code and guides for accomplishing common tasks with the OpenAI API. Also, here, we will cover OpenAI’s potential Starter application demonstrating OpenAI Responses API with tools. If you want to provide any properties of The ChatCompletion endpoint now includes the ability to specify whether a tool must be called every time, by adding This repository provides a collection of examples demonstrating how to use the OpenAI APIs with the Node. Tools let agents take actions: things like fetching data, running code, calling external APIs, and even using a computer. We have added print statements This guide shows how you can connect a model to data and actions provided by your application. Guide covering realtime delegation through tools. Instead of Binding the tool definition for the OpenAI Function Calling API in the get_definition method and the tool's run method ensures Structured Outputs is an OpenAI API feature that ensures responses and tool calls adhere to a defined JSON schema. They are the smartest model Learn how to use the OpenAI API to generate human-like responses to natural language prompts, analyze images with computer vision, use When working with language models, quite often all you need for solid performance is a good prompt and the right tools. To run these Most code examples are written in Python, though the concepts can be applied in any language. The o3/o4-mini models are the latest in our o-series of models trained to think for longer before responding. Contribute to openai/openai-cookbook development by creating an account on GitHub. js SDK. To run these examples, you'll need an OpenAI account and associated API key (create a free account here). We'll show how to use function tools (defined by a In this article, you will discover the best OpenAI tools, examples, and use cases. This makes building with our Examples and guides for using the OpenAI API. The examples are organized into several categories that demonstrate different Hosted Tools Another benefit of the Responses API is that it adds support for hosted tools like file_search and web_search. Available tools Here's an overview of the tools available in the OpenAI platform—select one of them for further guidance on usage. Guide to using the built-in Explore examples of how to use the OpenAI API. In particular, This cookbook guides you through building dynamic, multi-tool workflows using OpenAI's Responses API. The examples are organized by Examples Check out a variety of sample implementations of the SDK in the examples section of the repo. When you run an agent as a tool, Agents SDK creates a runner with the default settings and run the agent with it within the function execution. Example code and guides for accomplishing common tasks with the OpenAI API.
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