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|
use super::{
catch_error, sse_stream, CompletionDetails, ExtraConfig, Model, ModelConfig, OpenAIClient,
PromptType, SendData, SsMmessage, SseHandler,
};
use crate::utils::PromptKind;
use anyhow::{anyhow, Result};
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
use serde_json::{json, Value};
const API_BASE: &str = "https://api.openai.com/v1";
#[derive(Debug, Clone, Deserialize, Default)]
pub struct OpenAIConfig {
pub name: Option<String>,
pub api_key: Option<String>,
pub api_base: Option<String>,
pub organization_id: Option<String>,
#[serde(default)]
pub models: Vec<ModelConfig>,
pub extra: Option<ExtraConfig>,
}
impl OpenAIClient {
config_get_fn!(api_key, get_api_key);
config_get_fn!(api_base, get_api_base);
pub const PROMPTS: [PromptType<'static>; 1] =
[("api_key", "API Key:", true, PromptKind::String)];
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let api_key = self.get_api_key()?;
let api_base = self.get_api_base().unwrap_or_else(|_| API_BASE.to_string());
let body = openai_build_body(data, &self.model);
let url = format!("{api_base}/chat/completions");
debug!("OpenAI Request: {url} {body}");
let mut builder = client.post(url).bearer_auth(api_key).json(&body);
if let Some(organization_id) = &self.config.organization_id {
builder = builder.header("OpenAI-Organization", organization_id);
}
Ok(builder)
}
}
pub async fn openai_send_message(builder: RequestBuilder) -> Result<(String, CompletionDetails)> {
let res = builder.send().await?;
let status = res.status();
let data: Value = res.json().await?;
if !status.is_success() {
catch_error(&data, status.as_u16())?;
}
openai_extract_completion(&data)
}
pub async fn openai_send_message_streaming(
builder: RequestBuilder,
handler: &mut SseHandler,
) -> Result<()> {
let handle = |message: SsMmessage| -> Result<bool> {
if message.data == "[DONE]" {
return Ok(true);
}
let data: Value = serde_json::from_str(&message.data)?;
if let Some(text) = data["choices"][0]["delta"]["content"].as_str() {
handler.text(text)?;
}
Ok(false)
};
sse_stream(builder, handle).await
}
pub fn openai_build_body(data: SendData, model: &Model) -> Value {
let SendData {
messages,
temperature,
top_p,
stream,
} = data;
let mut body = json!({
"model": &model.name,
"messages": messages,
});
if let Some(v) = model.max_output_tokens {
body["max_tokens"] = v.into();
}
if let Some(v) = temperature {
body["temperature"] = v.into();
}
if let Some(v) = top_p {
body["top_p"] = v.into();
}
if stream {
body["stream"] = true.into();
}
body
}
pub fn openai_extract_completion(data: &Value) -> Result<(String, CompletionDetails)> {
let text = data["choices"][0]["message"]["content"]
.as_str()
.ok_or_else(|| anyhow!("Invalid response data: {data}"))?;
let details = CompletionDetails {
id: data["id"].as_str().map(|v| v.to_string()),
input_tokens: data["usage"]["prompt_tokens"].as_u64(),
output_tokens: data["usage"]["completion_tokens"].as_u64(),
};
Ok((text.to_string(), details))
}
impl_client_trait!(
OpenAIClient,
openai_send_message,
openai_send_message_streaming
);
|
