OpenAI API Quick Reference

Overview

Complete OpenAI API parameters, models, and pricing cheat sheet. A comprehensive reference guide for cheat sheets practitioners.

Quick Reference

python
from openai import OpenAI
client = OpenAI()
def solve_openai_api_quick_reference(input_text: str) -> str:
    """Complete OpenAI API parameters, models, and pricing cheat sheet"""
    response = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[
            {"role":"system","content":"You are an expert in cheat sheets. Topic: OpenAI API Quick Reference."},
            {"role":"user","content":input_text}
        ],
        temperature=0.3,
        max_tokens=1000
    )
    return response.choices[0].message.content
Usage
result = solve_openai_api_quick_reference("Your openai api quick reference question")
print(result)

Key Concepts

cheat sheet: Core to this approach

Validation: Always validate inputs and outputs

Error handling: Implement robust retry logic

Monitoring: Track performance and costs

Best Practices

Start with the simplest approach

Measure quality, latency, and cost

Optimize based on real usage patterns

Document decisions and tradeoffs

Review security implications

Related Topics

cheat sheet

reference

reference

openai