ChatGPT Rust

This Rust crate provides an API client for communicating with OpenAI's GPT-3.5 and GPT-4 (ChatGPT) API. The Api struct provides methods for sending requests and receiving responses from the API.

Installation

Add this to your Cargo.toml: ```toml [dependencies] chatgptrs = "1.4.0"

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Usage

```rs use chatgptrs::prelude::*;

[tokio::main]

async fn main() { let token = Token::new("YOURAPIKEY"); let api = Api::new(token); let request = Request { model: Model::Gpt35Turbo, messages: vec![Message { role: "user".tostring(), content: "Hello, how's it going?".tostring(), }], ..Default::default() }; let response = api.chat(request).await; if let Ok(response) = response { println!("{:?}", response.choices[0].message.content); } else { println!("Error: {:?}", response.err()); } } ```

Additional Configuration

Following configuration options are available in the Request struct: - Model: ID of the model to use. All GPT3 and GPT4 models are supported. - Messages: messages to generate chat completions for, in the chat format. - Temperature: what sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - TopP: an alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. - N: how many chat completion choices to generate for each input message. - Stop: up to 4 sequences where the API will stop generating further tokens. - MaxTokens: maximum number of tokens to generate for each chat completion choice. - PresencePenalty: a number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. - FrequencyPenalty: a number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. - User: a unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

Providing Organization ID

You may provide your OpenAI organization ID when creating the API instance. rs let api = Api::new(token).with_organization_id("YOUR_ORGANIZATION_ID")