swiftide_integrations/openai/
embed.rs1use async_openai::types::CreateEmbeddingRequestArgs;
2use async_trait::async_trait;
3
4use swiftide_core::{chat_completion::errors::LanguageModelError, EmbeddingModel, Embeddings};
5
6use super::GenericOpenAI;
7use crate::openai::openai_error_to_language_model_error;
8
9#[async_trait]
10impl<C: async_openai::config::Config + std::default::Default + Sync + Send + std::fmt::Debug>
11 EmbeddingModel for GenericOpenAI<C>
12{
13 async fn embed(&self, input: Vec<String>) -> Result<Embeddings, LanguageModelError> {
14 let model = self
15 .default_options
16 .embed_model
17 .as_ref()
18 .ok_or(LanguageModelError::PermanentError("Model not set".into()))?;
19
20 let request = CreateEmbeddingRequestArgs::default()
21 .model(model)
22 .input(&input)
23 .build()
24 .map_err(LanguageModelError::permanent)?;
25
26 tracing::debug!(
27 num_chunks = input.len(),
28 model = &model,
29 "[Embed] Request to openai"
30 );
31 let response = self
32 .client
33 .embeddings()
34 .create(request)
35 .await
36 .map_err(openai_error_to_language_model_error)?;
37
38 let num_embeddings = response.data.len();
39 tracing::debug!(num_embeddings = num_embeddings, "[Embed] Response openai");
40
41 Ok(response.data.into_iter().map(|d| d.embedding).collect())
43 }
44}