function calling

[thin lichen]

i want to create an assistant with function calling implemented . please provide me the roadmap for the same

[cinder magnet]

Hi @thin lichen. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Sure, here's a roadmap to create an assistant with function calling implemented using OpenAI's tools:

1. Understand Function Calling: Function calling allows you to describe any custom functions or external APIs to the assistant, which enables the assistant to intelligently call those functions by outputting a JSON object containing the relevant arguments. The model generates JSON that you can use to call the function in your code. The latest models (gpt-4o, gpt-4-turbo, and gpt-4o-mini) have been trained to both detect when a function should be called (depending on the input) and to respond with JSON that adheres to the function signature more closely than previous models. source (https://platform.openai.com/docs/guides/function-calling)

2. Define Your Functions: Define functions like send_email(to: string, body: string), or get_current_weather(location: string, unit: 'celsius' | 'fahrenheit') that your assistant can call. You can also convert natural language into API calls or extract structured data from text. source (https://platform.openai.com/docs/guides/function-calling)

3. Call the Model with User Query and Functions: Call the model with the user query and a set of functions defined in the functions parameter. The model can choose to call one or more functions; if so, the content will be a stringified JSON object adhering to your custom schema. source (https://platform.openai.com/docs/guides/function-calling)

4. Parse the JSON and Call Your Function: Parse the string into JSON in your code, and call your function with the provided arguments if they exist. source (https://platform.openai.com/docs/guides/function-calling)

5. Call the Model Again with Function Response: Call the model again by appending the function response as a new message, and let the model summarize the results back to the user. source (https://platform.openai.com/docs/guides/function-calling)

6. Test in the Chat Playground: You can use the OpenAI Chat Playground to test function calling. To add a new function, click "+ Add function" in the configuration panel on the right side of the screen. Then, enter the JSON schema with function's parameters. To test the function in the playground, enter a message that would trigger the model to call the function. source (https://help.openai.com/en/articles/9492280-function-calling-in-the-chat-playground)

7. Handle Function Calls in Assistants API: If you're using the Assistants API, you might need to handle function calls in a specific way. For example, if the user prompt requires the Assistant to perform multiple functions, it should perform the first one and wait for the Function Output, then perform the second one, etc. source (https://community.openai.com/t/620423)

8. Consider Improvements: There are suggestions for better implementations for assistant function calling in Python, such as introducing a unified "Assistant with Function Call Capability" object. This single object manages all aspects of function-based interactions, offering an interface for setting up an assistant, starting conversations, handling messages, collecting function outputs, and submitting results. source (https://github.com/openai/openai-python/issues/1399)

Remember to build in user confirmation flows before taking actions that impact the world on behalf of users (sending an email, posting something online, making a purchase, etc). source (https://platform.openai.com/docs/guides/function-calling)

For more detailed information, you can refer to the official OpenAI documentation on [Function Calling](https://platform.openai.com/docs

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: