Create intelligent apps with OpenAI and Go

Table of Contents

1. Introduction
2. How OpenAI's APIs work
3. Using the completions API in the command line
4. Writing a completion assistant in Go
5. Authentication token for OpenAI's APIs
6. JSON payload for the completions API
7. Parsing the JSON response in the command line
8. Adjusting temperature and number of responses
9. Pros of using OpenAI's completion API
10. Cons of using OpenAI's completion API

Introduction

In this article, we will explore the capabilities of OpenAI's completion API. Completions allow us to provide a prompt and get a response from an AI. Whether it's finishing sentences, writing poetry, or generating new ideas, OpenAI's completion API offers a wide range of applications. In this guide, we will learn how to use the completions API in both the terminal and in Go. We'll also cover topics such as authentication token, JSON payload, parsing the response, and adjusting temperature and number of responses. So, let's get started!

How OpenAI's APIs work

OpenAI's APIs are stateless HTTP requests. To use these APIs, You need to provide an authentication token, which can be generated under your user profile on OpenAI.com. It's important to note that these APIs are not free, but you will get some trial credit when you sign up. Once you have the authentication token, you can send requests to the API and receive JSON responses in return.

Using the completions API in the command line

To use the completions API in the command line, you can make an HTTP request using tools like curl. You need to include the authentication token in the request headers and provide a JSON payload containing the model, prompt, and other optional fields. The response will be in JSON format, which you can parse and display as desired.

Writing a completion assistant in Go

If you prefer using Go, you can write your own completion assistant using OpenAI's completion API. With the help of the openai Package, you can Create a client and initialize it with your API key. Then, you can make a completion request by specifying the model, max tokens, prompt, and other optional fields. The response can be accessed and displayed using the response.Choices array.

Authentication token for OpenAI's APIs

To access OpenAI's APIs, you need to provide an authentication token. This token can be generated under your user profile on OpenAI.com. Make sure to keep the token secure and avoid sharing it with unauthorized users. Without a valid authentication token, you won't be able to make API calls.

JSON payload for the completions API

When making a completion request, you need to provide a JSON payload containing the necessary information. This includes the model you want to use (e.g. text-davinci-003), the prompt for the AI to complete, and any optional fields such as max tokens or temperature. The JSON payload allows you to customize the behavior of the completion response.

Parsing the JSON response in the command line

After making a completion request using the command line, you will receive a JSON response. To parse and display the response in a readable format, you can use tools like Python's json.tool. By piping the response into the tool, you can get a nicely formatted output that can be easily understood.

Adjusting temperature and number of responses

The completion API provides options to adjust the temperature and number of responses generated by the AI. Temperature can be set between 0 and 2, with 1 being the default value. A higher temperature value (e.g. 2) will result in more random and diverse responses, while a lower value (e.g. 0) will produce responses closely matched to the prompt. The number of responses can also be specified, allowing you to generate multiple completions from the AI.

Pros of using OpenAI's completion API

• Versatile: OpenAI's completion API can be used for a wide range of applications, from finishing sentences to generating new ideas.
• Customizable: You can adjust various parameters such as temperature and number of responses to get the desired output.
• Easy integration: The API can be integrated into different programming languages and environments, making it accessible to developers.

Cons of using OpenAI's completion API

• Cost: OpenAI's APIs are not free and require payment Based on usage. This can be a limitation for users with budget constraints.
• Limited control: While the API offers customization options, the level of control over the AI's output is still limited. Responses might not always meet the expected requirements.

FAQ

Q: How do I generate an authentication token for OpenAI's APIs? A: To generate an authentication token, create a login on OpenAI.com and navigate to your user profile. From there, you can generate the token.

Q: Can I adjust the number of responses generated by the completion API? A: Yes, you can specify the number of responses in the request payload. This allows you to get multiple completions from the AI.

Q: Are OpenAI's APIs free to use? A: No, OpenAI's APIs require payment based on usage. However, users get some trial credit when they sign up.

Q: How can I parse the JSON response from the completion API? A: You can use tools like Python's json.tool to parse and format the JSON response in a readable format.

Q: Can I integrate OpenAI's completion API into my own Go application? A: Yes, you can use the openai package in Go to create a client and make completion requests using OpenAI's API."""

Highlights:

• OpenAI's completion API offers versatile applications such as finishing sentences, writing poetry, and generating new ideas.
• The API can be used in both the command line and Go, allowing for easy integration into various environments.
• Authentication tokens are required to access OpenAI's APIs, and they can be generated under the user profile on OpenAI.com.
• JSON payloads are used to provide necessary information for completion requests, including the model, prompt, and optional fields.
• The AI's responses can be adjusted by controlling the temperature and number of responses.
• Pros of using OpenAI's completion API include versatility, customization options, and easy integration.
• Cons of using the API include cost and limited control over the AI's output.

Introduction

In this article, we will explore the capabilities of OpenAI's completion API. Completions allow us to provide a prompt and get a response from an AI. Whether it's finishing sentences, writing poetry, or generating new ideas, OpenAI's completion API offers a wide range of applications. In this guide, we will learn how to use the completions API in both the terminal and in Go. We'll also cover topics such as authentication token, JSON payload, parsing the response, and adjusting temperature and number of responses. So, let's get started!

How OpenAI's APIs work

OpenAI's APIs are stateless HTTP requests. To use these APIs, you need to provide an authentication token, which can be generated under your user profile on OpenAI.com. It's important to note that these APIs are not free, but you will get some trial credit when you sign up. Once you have the authentication token, you can send requests to the API and receive JSON responses in return.

Using the completions API in the command line

To use the completions API in the command line, you can make an HTTP request using tools like curl. You need to include the authentication token in the request headers and provide a JSON payload containing the model, prompt, and other optional fields. The response will be in JSON format, which you can parse and display as desired.

Writing a completion assistant in Go

If you prefer using Go, you can write your own completion assistant using OpenAI's completion API. With the help of the openai package, you can create a client and initialize it with your API key. Then, you can make a completion request by specifying the model, max tokens, prompt, and other optional fields. The response can be accessed and displayed using the response.Choices array.

Authentication token for OpenAI's APIs

To access OpenAI's APIs, you need to provide an authentication token. This token can be generated under your user profile on OpenAI.com. Make sure to keep the token secure and avoid sharing it with unauthorized users. Without a valid authentication token, you won't be able to make API calls.

JSON payload for the completions API

When making a completion request, you need to provide a JSON payload containing the necessary information. This includes the model you want to use (e.g. text-davinci-003), the prompt for the AI to complete, and any optional fields such as max tokens or temperature. The JSON payload allows you to customize the behavior of the completion response.

Parsing the JSON response in the command line

After making a completion request using the command line, you will receive a JSON response. To parse and display the response in a readable format, you can use tools like Python's json.tool. By piping the response into the tool, you can get a nicely formatted output that can be easily understood.

Adjusting temperature and number of responses

The completion API provides options to adjust the temperature and number of responses generated by the AI. Temperature can be set between 0 and 2, with 1 being the default value. A higher temperature value (e.g. 2) will result in more random and diverse responses, while a lower value (e.g. 0) will produce responses closely matched to the prompt. The number of responses can also be specified, allowing you to generate multiple completions from the AI.

Pros of using OpenAI's completion API

• Versatile: OpenAI's completion API can be used for a wide range of applications, from finishing sentences to generating new ideas.
• Customizable: You can adjust various parameters such as temperature and number of responses to get the desired output.
• Easy integration: The API can be integrated into different programming languages and environments, making it accessible to developers.

Cons of using OpenAI's completion API

• Cost: OpenAI's APIs are not free and require payment based on usage. This can be a limitation for users with budget constraints.
• Limited control: While the API offers customization options, the level of control over the AI's output is still limited. Responses might not always meet the expected requirements.

FAQ

Q: How do I generate an authentication token for OpenAI's APIs? A: To generate an authentication token, create a login on OpenAI.com and navigate to your user profile. From there, you can generate the token.

Q: Can I adjust the number of responses generated by the completion API? A: Yes, you can specify the number of responses in the request payload. This allows you to get multiple completions from the AI.

Q: Are OpenAI's APIs free to use? A: No, OpenAI's APIs require payment based on usage. However, users get some trial credit when they sign up.

Q: How can I parse the JSON response from the completion API? A: You can use tools like Python's json.tool to parse and format the JSON response in a readable format.

Q: Can I integrate OpenAI's completion API into my own Go application? A: Yes, you can use the openai package in Go to create a client and make completion requests using OpenAI's API.