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aichat/src/client/cloudflare.rs

116 lines
3.1 KiB
Rust

use super::{
catch_error, sse_stream, CloudflareClient, CompletionDetails, ExtraConfig, Model, ModelConfig,
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.cloudflare.com/client/v4";
#[derive(Debug, Clone, Deserialize, Default)]
pub struct CloudflareConfig {
pub name: Option<String>,
pub account_id: Option<String>,
pub api_key: Option<String>,
#[serde(default)]
pub models: Vec<ModelConfig>,
pub extra: Option<ExtraConfig>,
}
impl CloudflareClient {
config_get_fn!(account_id, get_account_id);
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptType<'static>; 2] = [
("account_id", "Account ID:", true, PromptKind::String),
("api_key", "API Key:", true, PromptKind::String),
];
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let account_id = self.get_account_id()?;
let api_key = self.get_api_key()?;
let body = build_body(data, &self.model)?;
let url = format!(
"{API_BASE}/accounts/{account_id}/ai/run/{}",
self.model.name
);
debug!("Cloudflare Request: {url} {body}");
let builder = client.post(url).bearer_auth(api_key).json(&body);
Ok(builder)
}
}
impl_client_trait!(CloudflareClient, send_message, send_message_streaming);
async fn send_message(builder: RequestBuilder) -> Result<(String, CompletionDetails)> {
let res = builder.send().await?;
let status = res.status();
let data: Value = res.json().await?;
if status != 200 {
catch_error(&data, status.as_u16())?;
}
extract_completion(&data)
}
async fn 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["response"].as_str() {
handler.text(text)?;
}
Ok(false)
};
sse_stream(builder, handle).await
}
fn build_body(data: SendData, model: &Model) -> Result<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();
}
Ok(body)
}
fn extract_completion(data: &Value) -> Result<(String, CompletionDetails)> {
let text = data["result"]["response"]
.as_str()
.ok_or_else(|| anyhow!("Invalid response data: {data}"))?;
Ok((text.to_string(), CompletionDetails::default()))
}