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Demonstration of fixed OpenAI model parameter handling
"""
def demo_model_parameter_selection():
"""Demonstrate how different models get different parameters"""
# Mock the logic from openai.py
OPENAI_REASONING_MODEL_PREFIXES = (
# O-series reasoning models
"o1-",
"o1", # o1, o1-mini, o1-preview
"o3-",
"o3", # o3, o3-mini, o3-pro
"o4-", # o4-mini
# GPT-5 series are also reasoning models
"gpt-5-",
"gpt-5", # gpt-5, gpt-5-mini, gpt-5-nano
)
def get_params_for_model(model_name, api_base="https://api.openai.com/v1"):
"""Show what parameters would be used for each model"""
model_lower = str(model_name).lower()
is_openai_reasoning_model = (
api_base == "https://api.openai.com/v1"
and model_lower.startswith(OPENAI_REASONING_MODEL_PREFIXES)
)
if is_openai_reasoning_model:
return {
"type": "reasoning_model",
"uses": "max_completion_tokens",
"supports": ["reasoning_effort", "verbosity"],
"excludes": ["temperature", "top_p"],
}
else:
return {
"type": "standard_model",
"uses": "max_tokens",
"supports": ["temperature", "top_p"],
"excludes": [],
}
print("🔧 OpenAI Model Parameter Selection Demo")
print("=" * 50)
test_models = [
# Reasoning models
("o1-mini", "✅ Reasoning"),
("o1-preview", "✅ Reasoning"),
("o3-mini-2025-01-31", "✅ Reasoning (with date)"),
("gpt-5-nano", "✅ Reasoning (GPT-5 series)"),
# Standard models
("gpt-4o-mini", "❌ Standard (not reasoning)"),
("gpt-4o", "❌ Standard"),
("gpt-4-turbo", "❌ Standard"),
]
for model, description in test_models:
params = get_params_for_model(model)
print(f"\n📋 Model: {model}")
print(f" Type: {description}")
print(f" Uses: {params['uses']}")
print(f" Supports: {', '.join(params['supports'])}")
if params["excludes"]:
print(f" Excludes: {', '.join(params['excludes'])}")
print("\n" + "=" * 50)
print("✅ Fix successful! No more false positives/negatives.")
if __name__ == "__main__":
demo_model_parameter_selection()
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