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How do I integrate GPT-3.5 into a chatbot for dynamic responses?

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How do I integrate GPT-3.5 into a chatbot for dynamic responses?

Asked on Dec 02, 2025

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Integrating GPT-3.5 into a chatbot involves using the OpenAI API to generate dynamic responses based on user input. This process typically includes setting up an API call within your chatbot's backend to send user messages to GPT-3.5 and receive responses.

<!-- BEGIN COPY / PASTE -->
    import openai

    openai.api_key = 'your-api-key'

    def get_gpt_response(user_input):
        response = openai.Completion.create(
            engine="text-davinci-003",
            prompt=user_input,
            max_tokens=150
        )
        return response.choices[0].text.strip()
    <!-- END COPY / PASTE -->

Additional Comment:

Ensure you have an active OpenAI API key and appropriate access to the GPT-3.5 model.
Consider implementing error handling to manage API call failures gracefully.
Adjust parameters like "max_tokens" to control the length of the response.
Integrate this function into your chatbot's message handling flow to process user inputs dynamically.

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How do I integrate GPT-3.5 into a chatbot for dynamic responses?

Asked on Dec 02, 2025

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