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|
use super::openai::*;
use super::*;
use anyhow::{Context, Result};
use reqwest::RequestBuilder;
use serde::Deserialize;
use serde_json::{json, Value};
#[derive(Debug, Clone, Deserialize)]
pub struct OpenAICompatibleConfig {
pub name: Option<String>,
pub api_base: Option<String>,
pub api_key: Option<String>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patch: Option<RequestPatch>,
pub extra: Option<ExtraConfig>,
}
impl OpenAICompatibleClient {
config_get_fn!(api_base, get_api_base);
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptAction<'static>; 0] = [];
}
impl_client_trait!(
OpenAICompatibleClient,
(
prepare_chat_completions,
openai_chat_completions,
openai_chat_completions_streaming
),
(prepare_embeddings, openai_embeddings),
(prepare_rerank, generic_rerank),
);
fn prepare_chat_completions(
self_: &OpenAICompatibleClient,
data: ChatCompletionsData,
) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = get_api_base_ext(self_)?;
let url = format!("{api_base}/chat/completions");
let body = openai_build_chat_completions_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
fn prepare_embeddings(
self_: &OpenAICompatibleClient,
data: &EmbeddingsData,
) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = get_api_base_ext(self_)?;
let url = format!("{api_base}/embeddings");
let body = openai_build_embeddings_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
fn prepare_rerank(self_: &OpenAICompatibleClient, data: &RerankData) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = get_api_base_ext(self_)?;
let url = format!("{api_base}/rerank");
let body = generic_build_rerank_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
if let Some(api_key) = api_key {
request_data.bearer_auth(api_key);
}
Ok(request_data)
}
fn get_api_base_ext(self_: &OpenAICompatibleClient) -> Result<String> {
let api_base = match self_.get_api_base() {
Ok(v) => v,
Err(err) => {
match OPENAI_COMPATIBLE_PLATFORMS
.into_iter()
.find_map(|(name, api_base)| {
if name == self_.model.client_name() {
Some(api_base.to_string())
} else {
None
}
}) {
Some(v) => v,
None => return Err(err),
}
}
};
Ok(api_base.trim_end_matches('/').to_string())
}
pub async fn generic_rerank(builder: RequestBuilder, _model: &Model) -> Result<RerankOutput> {
let res = builder.send().await?;
let status = res.status();
let mut data: Value = res.json().await?;
if !status.is_success() {
catch_error(&data, status.as_u16())?;
}
if data.get("results").is_none() && data.get("data").is_some() {
if let Some(data_obj) = data.as_object_mut() {
if let Some(value) = data_obj.remove("data") {
data_obj.insert("results".to_string(), value);
}
}
}
let res_body: GenericRerankResBody =
serde_json::from_value(data).context("Invalid rerank data")?;
Ok(res_body.results)
}
#[derive(Deserialize)]
pub struct GenericRerankResBody {
pub results: RerankOutput,
}
pub fn generic_build_rerank_body(data: &RerankData, model: &Model) -> Value {
let RerankData {
query,
documents,
top_n,
} = data;
let mut body = json!({
"model": model.name(),
"query": query,
"documents": documents,
});
if model.client_name() == "voyageai" {
body["top_k"] = (*top_n).into()
} else {
body["top_n"] = (*top_n).into()
}
body
}
|
