Créer une réponse de modèle

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key=os.environ["COMETAPI_KEY"],
)

input_items = [
    {"role": "user", "content": "My project is named Cedar and uses Python. Remember these two facts."}
]

response = client.responses.create(
    model="gpt-6-astra",
    input=input_items,
    reasoning={"effort": "low"},
)

input_items.append({"role": "assistant", "content": response.output_text})
input_items.append({
    "role": "user",
    "content": "What is my project's name and programming language?",
})

follow_up = client.responses.create(
    model="gpt-6-astra",
    input=input_items,
    reasoning={"effort": "low"},
)

print(follow_up.output_text)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key=os.environ["COMETAPI_KEY"],
)

response = client.responses.create(
    model="gpt-6-astra",
    input="Search the web for the NASA Artemis II mission overview and cite the official NASA page.",
    tools=[
        {
            "type": "web_search",
        },
    ],
    reasoning={
        "effort": "low",
    },
)

print(response.output_text)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key=os.environ["COMETAPI_KEY"],
)

response = client.responses.create(
    model="gpt-6-astra",
    input="What is the weather in Boston, MA, in celsius? Use the weather tool.",
    tools=[
        {
            "type": "function",
            "name": "get_current_weather",
            "description": "Get the current weather for a city.",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "City and state, for example Boston, MA.",
                    },
                    "unit": {
                        "type": "string",
                        "enum": [
                            "celsius",
                            "fahrenheit",
                        ],
                        "description": "Temperature unit.",
                    },
                },
                "required": [
                    "location",
                    "unit",
                ],
                "additionalProperties": False,
            },
            "strict": True,
        },
    ],
    tool_choice="auto",
    reasoning={
        "effort": "low",
    },
)

print(response.output)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key=os.environ["COMETAPI_KEY"],
)

response = client.responses.create(
    model="gpt-6-astra",
    input="List 3 programming languages with their main use cases.",
    text={
        "format": {
            "type": "json_schema",
            "name": "languages",
            "strict": True,
            "schema": {
                "type": "object",
                "properties": {
                    "languages": {
                        "type": "array",
                        "items": {
                            "type": "object",
                            "properties": {
                                "name": {
                                    "type": "string",
                                    "description": "Programming language name.",
                                },
                                "use_case": {
                                    "type": "string",
                                    "description": "Main use case for the language.",
                                },
                            },
                            "required": [
                                "name",
                                "use_case",
                            ],
                            "additionalProperties": False,
                        },
                        "description": "Three programming languages and their main uses.",
                    },
                },
                "required": [
                    "languages",
                ],
                "additionalProperties": False,
            },
        },
    },
    reasoning={
        "effort": "low",
    },
)

print(response.output_text)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key=os.environ["COMETAPI_KEY"],
)

response = client.responses.create(
    model="gpt-6-astra",
    input="Solve this step by step: what is 15% of 240?",
    reasoning={
        "effort": "high",
    },
)

print(response.output_text)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key=os.environ["COMETAPI_KEY"],
)

stream = client.responses.create(
    model="gpt-6-astra",
    input="Tell me a three sentence bedtime story about a unicorn.",
    reasoning={
        "effort": "low",
    },
    stream=True,
)

for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta, end="")