openai-api-helper is a user-friendly library designed to simplify interactions with the OpenAI API. With minimal setup, you can quickly start making requests to OpenAI's chat completions endpoint. This package provides a straightforward way to integrate OpenAI's powerful language models into your applications with just a few lines of code.
Click here for Documentation
Install openai-api-helper using npm:
npm install openai-api-helper
Here's how to use openai-api-helper to interact with the OpenAI API:
const OpenAIAPIHelper = require("openai-api-helper").default;
async function main() {
const apiKey = "YOUR_OPENAI_API_KEY";
const model = "gpt-3.5-turbo"; // or your preferred model
const prompt =
"Explain the concept of artificial intelligence in simple terms.";
const openai = new OpenAIAPIHelper(apiKey);
try {
const response = await openai.call(model, prompt, 0.7, 1);
console.log("Response from OpenAI:", response);
} catch (error) {
console.error("Error:", error);
}
}
main();
import OpenAIAPIHelper from "openai-api-helper";
const apiKey = "YOUR_OPENAI_API_KEY";
const openai = new OpenAIAPIHelper(apiKey);
async function test() {
const model = "gpt-3.5-turbo";
const prompt =
"What are the main differences between machine learning and deep learning?";
try {
const response = await openai.call(model, prompt, 0.7, 1);
console.log("Response from OpenAI:", response);
} catch (error) {
console.error("Error calling OpenAI API:", error);
}
}
test();
The PromptBuilder class allows users to construct prompts efficiently. It includes options for adding background, context, instructions, and examples combined with user input.
const { PromptBuilder } = require("openai-api-helper");
const builder = new PromptBuilder()
.addBackground(
"You are an AI assistant specialized in explaining technical concepts."
)
.addContext("The user is a beginner in computer science.")
.addInstructions(
"Explain the concept in simple terms, using analogies where appropriate."
)
.addExample(
"Q: What is a variable?\nA: A variable is like a labeled box where you can store information. Just as you might put toys in a box labeled 'Toys', you can put data in a variable with a specific name."
)
.addUserInput("What is an algorithm?");
console.log(builder.build());
Refer to the test files in the repository for more detailed usage examples.
OpenAIAPIHelpernew OpenAIAPIHelper(apiKey: string)
apiKey: Your OpenAI API key.call(model: string, prompt: string, temperature?: number, responseType?: number): Promise<string | object>
model: Specify the GPT model (e.g., 'gpt-3.5-turbo', 'gpt-4').prompt: Provide the text prompt for the model.temperature (optional): Adjust the randomness of the response (default is 0.7).responseType (optional): Format your response (0 for complete JSON response, 1 for message string response. Default is 1).PromptBuilderaddBackground(text: string): PromptBuilderaddContext(text: string): PromptBuilderaddInstructions(text: string): PromptBuilderaddExample(text: string): PromptBuilderaddUserInput(text: string): PromptBuilderbuild(): stringSample usage files are available in the test directory:
test.js: Example JavaScript code demonstrating how to use the openai-api-helper library.test.ts: Example TypeScript code demonstrating how to use the openai-api-helper library.This project is licensed under the MIT License. See the LICENSE file for details.
Contributions are welcome! Please follow these steps to contribute:
git checkout -b feature-branch-namegit commit -m 'Add some feature'git push origin feature-branch-namePlease ensure that your code follows the project's coding standards and includes appropriate tests.
If you encounter any issues or have questions, please open an issue on GitHub.
This project is not officially associated with OpenAI. It is a community-driven effort to simplify the use of OpenAI's API.