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Streaming Semantic Events

You're building a weather assistant that provides real-time forecasts. The OpenAI client has been initialized and configured to work with the Responses API. You'll stream semantic events to track when the response starts, when text blocks finish, and when the full response is complete. This creates a more engaging user experience by showing progress as the model generates the forecast.

Diese Übung ist Teil des Kurses

Working with the OpenAI Responses API

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Anleitung zur Übung

  • Handle the "response.created" event by printing a start message.
  • Handle the "response.output_text.done" event by printing a completion message.
  • Handle the "response.completed" event by printing the full response text stored in current_text.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

prompt = "Explain how to read a weather forecast in one sentence for a beginner hiker."

with client.responses.create(model="gpt-5-mini", input=prompt, stream=True) as stream:
    for event in stream:
        # Find response created events
        if event.type == "____":
            print("Forecast generation started...\n")

        # Find output text completed events
        elif event.type == "____":
            print("\n--- Forecast complete ---\n")

        # Find response completed events
        elif event.type == "____":
            print(f"\nFull forecast:\n{current_text}")
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