Confirm this is an issue with the Python library and not an underlying OpenAI API

• This is an issue with the Python library

Describe the bug

There's a bug in OpenAI's python client logic for translating pydantic models with dictionaries into structured outputs JSON schema definitions: dictionaries are always required to be empty in the resulting JSON schema, rendering the dictionary outputs significantly less useful since the LLM is never allowed to populate them

I've filed a small PR to fix this and introduce test coverage: #2003

To Reproduce

import json
from typing import Any, Dict

import pydantic

from openai.lib._pydantic import to_strict_json_schema

class GenerateToolCallArguments(pydantic.BaseModel):
    arguments: Dict[str, Any] = pydantic.Field(description="The arguments to pass to the tool")

print(json.dumps(to_strict_json_schema(GenerateToolCallArguments), indent=4))

Observe that the output inserts additionalProperties: False into the resulting JSON schema definition, meaning that the dictionary must always be empty:

{
    "properties": {
        "arguments": {
            "description": "The arguments to pass to the tool",
            "title": "Arguments",
            "type": "object",
            # THE INSERTION OF THIS LINE IS A BUG
            "additionalProperties": false
        }
    },
    "required": [
        "arguments"
    ],
    "title": "GenerateToolCallArguments",
    "type": "object",
    "additionalProperties": false
}

Code snippets

No response

OS

macOS

Python version

Python v3.10.12

Library version

1.59.6