Capítulo 1: Profundización en la API de OpenAI

Uso básico

from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ],
    temperature=0.7,
    max_tokens=150
)
print(response.choices[0].message.content)

Parámetros clave

Parámetro	Propósito	Rango
temperature	Aleatoriedad	0-2
max_tokens	Límite de salida	Dependiente del modelo
top_p	Muestreo de núcleo	0-1
frequency_penalty	Control de repetición	-2 a 2

Llamada a funciones

response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "What's the weather in Paris?"}],
    tools=[{
        "type": "function",
        "function": {
            "name": "get_weather",
            "parameters": {
                "type": "object",
                "properties": {"location": {"type": "string"}}
            }
        }
    }]
)

Streaming

stream = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)
for chunk in stream:
    print(chunk.choices[0].delta.content, end="")

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