Crate aleph_alpha_api
source ·Expand description
Inofficial Rust client library for the Aleph Alpha API
Example usage:
use aleph_alpha_api::{error::ApiError, Client, CompletionRequest, LUMINOUS_BASE};
const AA_API_TOKEN: &str = "<YOUR_AA_API_TOKEN>";
async fn print_completion() -> Result<(), ApiError> {
let client = Client::new(AA_API_TOKEN.to_owned())?;
let request =
CompletionRequest::from_text(LUMINOUS_BASE.to_owned(), "An apple a day".to_owned(), 10)
.temperature(0.8)
.top_k(50)
.top_p(0.95)
.best_of(2)
.minimum_tokens(2);
let response = client.completion(&request, Some(true)).await?;
println!("An apple a day{}", response.best_text());
Ok(())
}Modules
Macros
Structs
- Bounding box in logical coordinates. From 0 to 1. With (0,0) being the upper left corner, and relative to the entire image.
- The top-level response data structure that will be returned from an explanation request.
- Embeds a prompt using a specific model and semantic embedding method. Resulting vectors that can be used for downstream tasks (e.g. semantic similarity) and models (e.g. classifiers).
Enums
- Type of embedding representation to embed the prompt with.
- Optional parameter that specifies which datacenters may process the request. You can either set the parameter to “aleph-alpha” or omit it (defaulting to null).
- The prompt for models can be a combination of different modalities (Text and Image). The type of modalities which are supported depend on the Model in question.
- How many explanations should be returned in the output.