Open AI Assistants API Tutorial (Bubble) | OpenAI DevDay | NoCode
Education
Introduction
We live in an amazing time where the boundaries of what we can achieve with AI keep expanding daily. One such exciting development is the announcement of Assistant APIs by OpenAI. You can now create custom AI assistants, enabling even more flexibility and functionality than previously possible. This new feature opens up a plethora of possibilities, especially for those utilizing no-code platforms like Bubble.
In this tutorial, we'll walk through how to use the Assistant API, create custom chatbots, and integrate them into your applications using Bubble. Let's dive right in.
Getting Started
To get started, we need to move away from ChatGPT and head towards platform.openai.com. Here’s what you need to do:
Step 1: Obtain an API Key
First, navigate to platform.openai.com and create a new secret key:
- Go to the API key section.
- Create a new secret key.
- Save the key securely.
Step 2: Create an AI Assistant
We will use OpenAI's playground for this:
- Go to platform.openai.com/playground.
- Create a new assistant. In this example, we're creating a product scoping assistant.
- Write a detailed prompt and upload relevant files.
- Save the assistant.
Now, to test if it's working:
- Ask a question in the playground, such as "What is the key product scoping process?"
- The assistant will read through the uploaded file and respond accordingly.
Step 3: Interacting with the API via Bubble
To integrate this assistant into an app using Bubble, follow these steps:
Install the API Connector Plugin
- Make a new app and install the 'API Connector' plugin.
- Configure it with the following details:
- Authentication: Private key in header
- API key obtained from OpenAI.
Step 4: Create a Thread
- In the API connector, add a new API call for creating a thread.
- Define it as a POST request with the endpoint
/v1/assistants/threads
. - Initialize the call to verify it works.
Step 5: Add a Message to the Thread
- Create another API call for adding a message to a thread.
- Use the endpoint
/v1/assistants/threads/(thread_id)/messages
. - Initialize with the role and content parameters.
Step 6: Run the Assistant
- Add another API call for creating a run.
- Use the endpoint
/v1/assistants/threads/(thread_id)/runs
. - Initialize and run to see the response.
Step 7: Retrieve the Run Status
- Add another API call to get the run status.
- Use the endpoint
/v1/assistants/threads/runs/(run_id)
. - Initialize to check if the status is 'completed'.
Step 8: Get the Assistant's Response
- Finally, create an API call to get the messages from a thread.
- Use the endpoint
/v1/assistants/threads/(thread_id)/messages
. - Initialize and parse the responses to display in your app.
Putting It All Together
After setting up all the API calls, you can now create a complete chat interface in Bubble.
This basic workflow allows you to create a product that can harness the power of OpenAI's assistant technology and integrate it seamlessly into your applications.
Keywords
- AI Assistant
- OpenAI
- Assistant API
- Bubble
- NoCode
- Product Scoping
- API Key
- Playground
- Create Thread
- Add Message
- Run Assistant
FAQ
1. What is the OpenAI Assistant API?
The OpenAI Assistant API allows developers to create custom AI assistants that can interact with users via text, using advanced machine learning models.
2. How do I obtain an API Key for OpenAI?
You can obtain an API key by signing up at platform.openai.com, navigating to the API keys section, and creating a new secret key.
3. Can I integrate the Assistant API into a no-code platform like Bubble?
Yes, the Assistant API can be integrated into no-code platforms such as Bubble by using the API Connector plugin and setting up calls to create threads, add messages, and retrieve responses.
4. What are the basic steps to setup an assistant using the Assistant API?
The basic steps include:
- Obtaining an API key.
- Creating an assistant in the playground.
- Using Bubble's API Connector to create threads, add messages, run the assistant, and retrieve the responses.
5. How do I customize the assistant to focus on specific tasks?
You customize the assistant through detailed prompts and by uploading relevant files that the assistant can refer to while responding to user queries.
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