Understanding Stateful Interactions with OpenAI's Responses API

What is a Stateful Interaction?

Difference Between Stateful & Stateless Interactions

Enter OpenAI's Responses API

Key Features of the Responses API

1. Multi-turn Model Interactions: The Responses API can handle multi-turn interactions in a single call, making it easy for developers to implement complex conversation flows without managing conversation state at their end. This is revolutionary, as it simply lets the API do all the heavy lifting.
2. Access to Hosted Tools: Unlike traditional APIs that require cumbersome setup to access various functionalities, the Responses API seamlessly integrates multiple tools like

   1 file_search

   ,

   1 web_search

   , and

   1 code_interpreter

   . This allows applications to leverage the power of external tools in a single request.
3. Granular Control Over Context: The API provides the ability to send detailed context to the model on each request, allowing for more refined and nuanced interactions based on the entire conversation. This feature is imperative for applications requiring ongoing reasoning and critical back-and-forth dialogue.
4. Asynchronous Handling: With the need for a more async-friendly stateful primitive, the API allows developers to create applications that can handle longer tasks without losing track of previous interactions. Imagine the possibilities for customer support or educational platforms!

Basics of Using the Responses API

Getting Started

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import OpenAI
import os

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
response = client.responses.create(
    model="gpt-4o-mini",
    input="Tell me a joke",
)
print(response.output[0].content[0].text)

Continuation of Conversation

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fetched_response = client.responses.retrieve(response_id=response.id)
print(fetched_response.output[0].content[0].text)

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response_two = client.responses.create(
    model="gpt-4o-mini",
    input="Tell another joke",
    previous_response_id=response.id
)
print(response_two.output[0].content[0].text)

Exploring the Hosted Tools Feature

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response = client.responses.create(
    model="gpt-4o",
    input="What's the latest news about AI?",
    tools=[
        {"type": "web_search"}
    ]
)

Multimodal and Tool-Augmented Conversations

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response_multimodal = client.responses.create(
    model="gpt-4o",
    input=[
        {
            "role": "user",
            "content": [
                {"type": "input_text", "text": "Come up with keywords related to an image, search the web using these keywords, and summarize the findings."},
                {"type": "input_image", "image_url": "image-url-here"}
            ]
        }
    ],
    tools=[{"type": "web_search"}]
)

Benefits of Integration with Arsturn

Quick Overview of What Arsturn Provides:

• Instant Chatbot Creation: Develop chatbots without coding, optimizing your time.
• Adaptability: Various types of data accepted, providing full customization.
• Insightful Analytics: Gain user insights to refine marketing strategies.
• User-friendly Management: Easily manage & update your chatbot.

Conclusion