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use super::openai::*;
use super::*;
use anyhow::Result;
use serde::Deserialize;
#[derive(Debug, Clone, Deserialize)]
pub struct AzureOpenAIConfig {
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 AzureOpenAIClient {
config_get_fn!(api_base, get_api_base);
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptAction<'static>; 4] = [
("api_base", "API Base:", true, PromptKind::String),
("api_key", "API Key:", true, PromptKind::String),
("models[].name", "Model Name:", true, PromptKind::String),
(
"models[].max_input_tokens",
"Max Input Tokens:",
false,
PromptKind::Integer,
),
];
}
impl_client_trait!(
AzureOpenAIClient,
(
prepare_chat_completions,
openai_chat_completions,
openai_chat_completions_streaming
),
(prepare_embeddings, openai_embeddings),
(noop_prepare_rerank, noop_rerank),
);
fn prepare_chat_completions(
self_: &AzureOpenAIClient,
data: ChatCompletionsData,
) -> Result<RequestData> {
let api_base = self_.get_api_base()?;
let api_key = self_.get_api_key()?;
let url = format!(
"{}/openai/deployments/{}/chat/completions?api-version=2024-02-01",
&api_base,
self_.model.name()
);
let body = openai_build_chat_completions_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
request_data.header("api-key", api_key);
Ok(request_data)
}
fn prepare_embeddings(self_: &AzureOpenAIClient, data: &EmbeddingsData) -> Result<RequestData> {
let api_base = self_.get_api_base()?;
let api_key = self_.get_api_key()?;
let url = format!(
"{}/openai/deployments/{}/embeddings?api-version=2024-02-01",
&api_base,
self_.model.name()
);
let body = openai_build_embeddings_body(data, &self_.model);
let mut request_data = RequestData::new(url, body);
request_data.header("api-key", api_key);
Ok(request_data)
}
|
