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|
use super::openai::*;
use super::rag_dedicated::*;
use super::*;
use anyhow::Result;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
#[derive(Debug, Clone, Deserialize)]
pub struct OpenAICompatibleConfig {
pub name: Option<String>,
pub api_base: Option<String>,
pub api_key: Option<String>,
pub chat_endpoint: Option<String>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patches: Option<ModelPatches>,
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>; 5] = [
("name", "Platform Name:", true, PromptKind::String),
("api_base", "API Base:", true, PromptKind::String),
("api_key", "API Key:", false, PromptKind::String),
("models[].name", "Model Name:", true, PromptKind::String),
(
"models[].max_input_tokens",
"Max Input Tokens:",
false,
PromptKind::Integer,
),
];
fn chat_completions_builder(
&self,
client: &ReqwestClient,
data: ChatCompletionsData,
) -> Result<RequestBuilder> {
let api_key = self.get_api_key().ok();
let api_base = self.get_api_base_ext()?;
let mut body = openai_build_chat_completions_body(data, &self.model);
self.patch_chat_completions_body(&mut body);
let chat_endpoint = self
.config
.chat_endpoint
.as_deref()
.unwrap_or("/chat/completions");
let url = format!("{api_base}{chat_endpoint}");
debug!("OpenAICompatible Chat Completions Request: {url} {body}");
let mut builder = client.post(url).json(&body);
if let Some(api_key) = api_key {
builder = builder.bearer_auth(api_key);
}
Ok(builder)
}
fn embeddings_builder(
&self,
client: &ReqwestClient,
data: EmbeddingsData,
) -> Result<RequestBuilder> {
let api_key = self.get_api_key().ok();
let api_base = self.get_api_base_ext()?;
let body = openai_build_embeddings_body(data, &self.model);
let url = format!("{api_base}/embeddings");
debug!("OpenAICompatible Embeddings Request: {url} {body}");
let mut builder = client.post(url).json(&body);
if let Some(api_key) = api_key {
builder = builder.bearer_auth(api_key);
}
Ok(builder)
}
fn rerank_builder(&self, client: &ReqwestClient, data: RerankData) -> Result<RequestBuilder> {
let api_key = self.get_api_key().ok();
let api_base = self.get_api_base_ext()?;
let body = rag_dedicated_build_rerank_body(data, &self.model);
let url = format!("{api_base}/rerank");
debug!("OpenAICompatible Rerank Request: {url} {body}");
let mut builder = client.post(url).json(&body);
if let Some(api_key) = api_key {
builder = builder.bearer_auth(api_key);
}
Ok(builder)
}
fn get_api_base_ext(&self) -> 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)
}
}
impl_client_trait!(
OpenAICompatibleClient,
openai_chat_completions,
openai_chat_completions_streaming,
openai_embeddings,
rag_dedicated_rerank
);
|
