Struct Client 

pub struct Client { /* private fields */ }

Implementations

impl Client

pub fn new( base_uri: Option<String>, token: Option<String>, ) -> Result<Client, Error>

Creates a new Client instance.

This function will first check for environment variables OPENAI_API_BASE and OPENAI_API_KEY. If they are not set, it will use the provided base_uri and token parameters. If neither are set, it will use the default API base URI.

If a token is not provided and base_uri is set to the OpenAI API base URI, an error will be returned.

Arguments

• base_uri: The base URI of the API, or None to use the environment variable or default.
• token: The API token, or None to use the environment variable.

Returns

A Result containing the new Client instance, or an Error if the configuration is invalid.

pub fn new_without_environment( base_uri: String, token: Option<String>, ) -> Result<Client, Error>

Creates a new Client instance without checking environment variables.

This function is used internally by new to create a client without checking for environment variables.

Arguments

• base_uri: The base URI of the API.
• token: The API token, or None if not required.

Returns

If base_uri is empty, an error will be returned. If base_uri is set to the OpenAI API base URI and token is None, an error will be returned. A Result containing the new Client instance, or an Error if the configuration is invalid.

pub fn new_from_environment() -> Result<Client, Error>

Creates a new Client instance from environment variables.

This function will read the OPENAI_API_BASE and OPENAI_API_KEY environment variables and use them to create a client.

Returns

A Result containing the new Client instance, or an Error if the environment variables are not set.

pub async fn chat_completions( &self, request: &ChatCompletions, ) -> Result<ChatCompletionsResponse, Error>

Sends a request to the OpenAI API to generate a completion for a chat conversation.

This function takes a ChatCompletions struct as input, which defines the parameters of the completion request, including the chat history, model to use, and desired response format.

The function returns a ChatCompletionsResponse struct, which contains the generated completion.

Arguments

• request: The ChatCompletions struct containing the request parameters.

Returns

A Result containing the ChatCompletionsResponse struct, or an Error if the request fails.

Example

use mini_openai::{Client, ChatCompletions, Message, ROLE_USER};

let client = Client::new(None, None).unwrap();

// Create a new chat completion request
let mut request = ChatCompletions::default();

// Add a message to the chat history
request.messages.push(Message {
    content: "Hello!".to_string(),
    role: ROLE_USER.to_string(),
});

// Send the request to the OpenAI API
let response = client.chat_completions(&request).await.unwrap();

// Print the generated completion
println!("{}", response.choices[0].message.content);

pub async fn chat_completions_into<F, T, E>( &self, request: &ChatCompletions, max_tries: usize, converter: F, ) -> Result<T, Error>

where F: Fn(String) -> Result<T, E>, E: ToString,

Attempts to retrieve a chat completion and deserializes the response into a custom type.

This function makes multiple attempts to retrieve a chat completion, up to a specified maximum number of tries. If a successful response is received, it will attempt to deserialize the response into the desired type using a provided converter function. If an error is caused anywhere the whole chain is retried up to max_tries times.

If all attempts fail, the error that was last received will be returned.

Arguments

• request: The chat completion request to send.
• max_tries: The maximum number of attempts to make.
• converter: A function that takes the content of the chat completion response and attempts to deserialize it into the desired type.

Returns

• Result<T, Error>: The deserialized result if successful, or the final error if all attempts fail.

Errors

• Any errors that occur during the network request itself.
• Any errors that occur during deserialization.

Example

For the likely case that you want to parse JSON, you can use the parse_json_lenient helper function. Here’s how to use it:

#[derive(Debug, serde::Deserialize)]
struct Hello {
    hello: String,
}

let client = mini_openai::Client::new(None, None).unwrap();
let request = mini_openai::ChatCompletions {
    messages: vec![
        mini_openai::Message {
            content: r#"Respond with {"hello": "world"}"#.into(),
            role: mini_openai::ROLE_SYSTEM.into(),
        }
    ],
    ..Default::default()
};

let hello: Hello = client.chat_completions_into(&request, 3, mini_openai::parse_json_lenient).await.unwrap();
println!("Result: {:?}", hello);

pub async fn embeddings( &self, request: &Embeddings, ) -> Result<EmbeddingsResponse, Error>

Sends a request to the OpenAI API to generate embeddings of text.

This function takes a Embeddings struct as input..

The function returns a EmbeddingsResponse struct, which contains the generated embeddings.

Arguments

• request: The Embeddings struct containing the request parameters.

Returns

A Result containing the EmbeddingsResponse struct, or an Error if the request fails.

Example

use mini_openai::{Client, Embeddings, Message, ROLE_USER};

let client = Client::new(None, None).unwrap();

// Create a new chat completion request
let request = Embeddings { input: "Hello".into(), ..Default::default() };

// Send the request to the OpenAI API
let response = client.embeddings(&request).await.unwrap();

// Print the generated completion
println!("{}", response.data[0].embedding);