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use super::openai::{openai_build_body, OPENAI_TOKENS_COUNT_FACTORS};
use super::{AzureOpenAIClient, ExtraConfig, Model, ModelConfig, PromptType, SendData};
use crate::utils::PromptKind;
use anyhow::Result;
use async_trait::async_trait;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
#[derive(Debug, Clone, Deserialize)]
pub struct AzureOpenAIConfig {
pub name: Option<String>,
pub api_base: Option<String>,
pub api_key: Option<String>,
pub models: Vec<ModelConfig>,
pub extra: Option<ExtraConfig>,
}
openai_compatible_client!(AzureOpenAIClient);
impl AzureOpenAIClient {
config_get_fn!(api_base, get_api_base);
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptType<'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_tokens",
"Max Tokens:",
true,
PromptKind::Integer,
),
];
pub fn list_models(local_config: &AzureOpenAIConfig) -> Vec<Model> {
let client_name = Self::name(local_config);
local_config
.models
.iter()
.map(|v| {
Model::new(client_name, &v.name)
.set_max_tokens(v.max_tokens)
.set_capabilities(v.capabilities)
.set_tokens_count_factors(OPENAI_TOKENS_COUNT_FACTORS)
})
.collect()
}
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let api_base = self.get_api_base()?;
let api_key = self.get_api_key()?;
let body = openai_build_body(data, self.model.name.clone());
let url = format!(
"{}/openai/deployments/{}/chat/completions?api-version=2023-05-15",
&api_base, self.model.name
);
debug!("AzureOpenAI Request: {url} {body}");
let builder = client.post(url).header("api-key", api_key).json(&body);
Ok(builder)
}
}
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