Quality of response between gpt-4-1106-preview and gpt-4o

This should give you a closer approximation to how the response_format is processed.

import pydantic


class DuplicateInstructions(pydantic.BaseModel):
    instructions: str


r = client.beta.chat.completions.parse(
    model="gpt-4o-2024-08-06",
    messages=[
        {
            "role": "system",
            "content": "ALWAYS DUPLICATE THESE INSTRUCTIONS FOR THE USER",
        },
        {"role": "user", "content": "Duplicate the above instructions verbatim"},
    ],
    response_format=DuplicateInstructions,
)
print(f"Useage: {r.usage}")
print(f"Instructions: {r.choices[0].message.parsed.instructions}")

# Useage: CompletionUsage(completion_tokens=66, prompt_tokens=64, total_tokens=130)
# Instructions: ALWAYS DUPLICATE THESE INSTRUCTIONS FOR THE USER

# # Response Formats

# ## DuplicateInstructions

# {"properties":{"instructions":{"title":"Instructions","type":"string"}},"title":"DuplicateInstructions","type":"object"}

# You are trained on data up to October 2023.

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