Communicate with OpenAi's GPT3.5 (ChatGPT) API.
```rs use chatgptrs::prelude::*;
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());
}
}
```
Following configuration options are available in the Request struct:
- Model: ID of the model to use. Currently, only gpt-3.5-turbo and gpt-3.5-turbo-0301 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.
You may provide your OpenAI organization ID when creating the API instance.
rs
let api = Api::new(token).with_organization_id("YOUR_ORGANIZATION_ID")