example05.py

"""
Author: L. Saetta
Last modified: 2026-03-16
License: MIT

Description:
    Example script that shows how to save the conversation platform side.
    This one use conversation API. Using conversation API we can use streaming.
"""

from common import (
    get_inference_client,
    print_example_summary,
    print_runtime_config,
    print_streamed_output,
)

from config import MODEL_ID

TEMPERATURE = 0.0


def main() -> None:
    """Create a conversation and stream two context-linked turns."""
    print_runtime_config()
    print("")
    print_example_summary("Create a conversation and stream two linked turns.")
    print("")

    client = get_inference_client()

    # 1. create a conversation
    conversation = client.conversations.create(metadata={"topic": "demo"})
    print("Conversation ID: ", conversation.id)
    print("")

    request = "Tell me something about Giorgio Parisi?"

    # 2. first request
    response1 = client.responses.create(
        model=MODEL_ID,
        temperature=TEMPERATURE,
        input=request,
        # link to the conversation
        conversation=conversation.id,
        stream=True,
    )
    print("Request:", request)
    print_streamed_output(response1)
    print("")

    # 3. second turn, chaining to the first turn
    request = "Tell me something about his work on Spin glasses."
    response2 = client.responses.create(
        model=MODEL_ID,
        temperature=TEMPERATURE,
        input=request,
        conversation=conversation.id,
        stream=True,
    )
    print("\nRequest:", request)
    print_streamed_output(response2)
    print("")


if __name__ == "__main__":
    main()