Add embedding models

examples/embedding.rs

@@ -1,14 +1,12 @@
 use openai_api_rs::v1::api::Client;
+use openai_api_rs::v1::common::TEXT_EMBEDDING_3_SMALL;
 use openai_api_rs::v1::embedding::EmbeddingRequest;
 use std::env;
 
 fn main() -> Result<(), Box<dyn std::error::Error>> {
     let client = Client::new(env::var("OPENAI_API_KEY").unwrap().to_string());
 
-    let req = EmbeddingRequest::new(
-        "text-embedding-ada-002".to_string(),
-        "story time".to_string(),
-    );
+    let req = EmbeddingRequest::new(TEXT_EMBEDDING_3_SMALL.to_string(), "story time".to_string());
 
     let result = client.embedding(req)?;
     println!("{:?}", result.data);

src/v1/chat_completion.rs

@@ -158,7 +158,7 @@ pub struct ChatCompletionMessageForResponse {
     pub tool_calls: Option<Vec<ToolCall>>,
 }
 
-#[derive(Debug, Deserialize)]
+#[derive(Debug, Deserialize, Serialize)]
 pub struct ChatCompletionChoice {
     pub index: i64,
     pub message: ChatCompletionMessageForResponse,
@@ -166,7 +166,7 @@ pub struct ChatCompletionChoice {
     pub finish_details: Option<FinishDetails>,
 }
 
-#[derive(Debug, Deserialize)]
+#[derive(Debug, Deserialize, Serialize)]
 pub struct ChatCompletionResponse {
     pub id: String,
     pub object: String,

src/v1/common.rs

@@ -1,6 +1,6 @@
-use serde::Deserialize;
+use serde::{Deserialize, Serialize};
 
-#[derive(Debug, Deserialize)]
+#[derive(Debug, Deserialize, Serialize)]
 pub struct Usage {
     pub prompt_tokens: i32,
     pub completion_tokens: i32,
@@ -45,3 +45,8 @@ pub const GPT4_32K_0314: &str = "gpt-4-32k-0314";
 // https://platform.openai.com/docs/api-reference/images/object
 pub const DALL_E_2: &str = "dall-e-2";
 pub const DALL_E_3: &str = "dall-e-3";
+
+// https://platform.openai.com/docs/guides/embeddings/embedding-models
+pub const TEXT_EMBEDDING_3_SMALL: &str = "text-embedding-3-small";
+pub const TEXT_EMBEDDING_3_LARGE: &str = "text-embedding-3-large";
+pub const TEXT_EMBEDDING_ADA_002: &str = "text-embedding-ada-002";