openai_example_n.py 1.85 KB
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"""
Usage:
export OPENAI_API_KEY=sk-******
python3 openai_example_chat.py
"""

import json

import sglang as sgl


@sgl.function
def multi_turn_question(s, question_1, question_2):
    s += sgl.system("You are a helpful assistant.")
    s += sgl.user(question_1)
    s += sgl.assistant(sgl.gen("answer_1", max_tokens=1024, n=2))
    s += sgl.user(question_2)
    s += sgl.assistant(
        sgl.gen(
            "answer_2",
            max_tokens=1024,
        )
    )


def single():
    state = multi_turn_question.run(
        question_1="What is the capital of the United States?",
        question_2="List two local attractions.",
    )

    for m in state.messages():
        print(m["role"], ":", m["content"])

    print("\n-- answer_1 --\n", state["answer_1"])
    print("\n-- answer_2 --\n", state["answer_2"])
    assert isinstance(state["answer_1"], list)
    assert len(state["answer_1"]) == 2
    assert isinstance(state["answer_2"], str)


def batch():
    states = multi_turn_question.run_batch(
        [
            {
                "question_1": "What is the capital of the United States?",
                "question_2": "List two local attractions.",
            },
            {
                "question_1": "What is the capital of France?",
                "question_2": "What is the population of this city?",
            },
        ]
    )

    for s in states:
        print(s.messages())
        print("\n-- answer_1 --\n", s["answer_1"])
        print("\n-- answer_2 --\n", s["answer_2"])
        assert isinstance(s["answer_1"], list)
        assert len(s["answer_1"]) == 2
        assert isinstance(s["answer_2"], str)


if __name__ == "__main__":
    sgl.set_default_backend(sgl.OpenAI("o1"))

    # Run a single request
    print("\n========== single ==========\n")
    single()
    # Run a batch of requests
    print("\n========== batch ==========\n")
    batch()