84 lines
2.0 KiB
Rust
84 lines
2.0 KiB
Rust
use super::openai::*;
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use super::*;
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use anyhow::Result;
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use serde::Deserialize;
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#[derive(Debug, Clone, Deserialize)]
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pub struct AzureOpenAIConfig {
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pub name: Option<String>,
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pub api_base: Option<String>,
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pub api_key: Option<String>,
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#[serde(default)]
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pub models: Vec<ModelData>,
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pub patch: Option<RequestPatch>,
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pub extra: Option<ExtraConfig>,
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}
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impl AzureOpenAIClient {
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config_get_fn!(api_base, get_api_base);
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config_get_fn!(api_key, get_api_key);
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create_client_config!([
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(
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"api_base",
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"API Base",
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Some("e.g. https://{RESOURCE}.openai.azure.com"),
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false,
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),
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("api_key", "API Key", None, true),
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]);
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}
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impl_client_trait!(
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AzureOpenAIClient,
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(
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prepare_chat_completions,
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openai_chat_completions,
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openai_chat_completions_streaming
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),
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(prepare_embeddings, openai_embeddings),
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(noop_prepare_rerank, noop_rerank),
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);
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fn prepare_chat_completions(
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self_: &AzureOpenAIClient,
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data: ChatCompletionsData,
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) -> Result<RequestData> {
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let api_base = self_.get_api_base()?;
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let api_key = self_.get_api_key()?;
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let url = format!(
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"{}/openai/deployments/{}/chat/completions?api-version=2024-12-01-preview",
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&api_base,
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self_.model.real_name()
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);
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let body = openai_build_chat_completions_body(data, &self_.model);
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let mut request_data = RequestData::new(url, body);
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request_data.header("api-key", api_key);
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Ok(request_data)
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}
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fn prepare_embeddings(self_: &AzureOpenAIClient, data: &EmbeddingsData) -> Result<RequestData> {
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let api_base = self_.get_api_base()?;
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let api_key = self_.get_api_key()?;
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let url = format!(
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"{}/openai/deployments/{}/embeddings?api-version=2024-10-21",
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&api_base,
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self_.model.real_name()
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);
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let body = openai_build_embeddings_body(data, &self_.model);
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let mut request_data = RequestData::new(url, body);
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request_data.header("api-key", api_key);
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Ok(request_data)
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}
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