Assistants Beta V2

[StephenHodgson]

OpenAI has released a new version of the Assistants, which significantly changes the API surface.

Migration Guide

Subtasks:

• Add support for GPT-4o
• #267
• #284

[edvanr]

Great to see this stuff making its way into the code!

Just a quick look at the create run docs, there are a few more still missing...

additional_instructions Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions.

additional_messages Adds additional messages to the thread before creating the run.

top_p An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

We generally recommend altering this or temperature but not both.

max_prompt_tokens The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run.

max_completion_tokens The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run

truncation_strategy Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.

response_format Specifies the format that the model must output.

What is the best way to track these also? I can have a go at implementing some of them

[StephenHodgson]

I wasn't planning on tracking these individually.

[edvanr]

I wonder if there is some way we could consume the OpenAI API spec so that when new properties get released it can be partially automated?

https://github.com/openai/openai-openapi/blob/master/openapi.yaml

[StephenHodgson]

I wonder if there is some way we could consume the OpenAI API spec so that when new properties get released it can be partially automated?

https://github.com/openai/openai-openapi/blob/master/openapi.yaml

I already have something locally that I use, but it's not good enough for all the edgecases.

But yes I do use that repository spec to generate out code for this library.

[minzdrav]

Hi @StephenHodgson Thank you for the great library! OpenAI has released gpt-4o model and it's not compatible with Assistants v1 API. Throwing error: { "message": "The requested model 'gpt-4o' cannot be used with the Assistants API in v1. Follow the migration guide to upgrade to v2: https://platform.openai.com/docs/assistants/migration.", "type": "invalid_request_error", "param": "model", "code": "unsupported_model" } Is it possible to generate a library with Assistants v2?

[StephenHodgson]

Sorry I haven't had time to get around to it.

I'll see what I can do this weekend.

[edvanr]

I'm also happy to help but I might need a quick kick off with you on the best way to approach some of these changes. I'll ping you on Discord

[StephenHodgson]

Most of the work is done. Just finishing up streaming support and fixing a few bugs with tool cache

[delsoul]

Большая часть работы сделана. Просто завершаю поддержку потоковой передачи и исправляю несколько ошибок с кешем инструментов.

Hello! When can we expect GPT-4o support? Considering that most of the work has already been completed.