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use super::{
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json_stream, message::*, patch_system_message, Client, ExtraConfig, Model, ModelConfig,
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PromptType, ReplyHandler, SendData, VertexAIClient,
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};
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use crate::utils::PromptKind;
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use anyhow::{anyhow, bail, Context, Result};
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use async_trait::async_trait;
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use chrono::{Duration, Utc};
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use reqwest::{Client as ReqwestClient, RequestBuilder};
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use serde::Deserialize;
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use serde_json::{json, Value};
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use std::path::PathBuf;
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const MODELS: [(&str, usize, &str); 3] = [
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// https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models
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("gemini-1.0-pro", 24568, "text"),
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("gemini-1.0-pro-vision", 14336, "text,vision"),
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("gemini-1.5-pro-preview-0409", 1000000, "text,vision"),
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];
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static mut ACCESS_TOKEN: (String, i64) = (String::new(), 0); // safe under linear operation
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#[derive(Debug, Clone, Deserialize, Default)]
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pub struct VertexAIConfig {
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pub name: Option<String>,
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pub api_base: Option<String>,
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pub adc_file: Option<String>,
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pub block_threshold: Option<String>,
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#[serde(default)]
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pub models: Vec<ModelConfig>,
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pub extra: Option<ExtraConfig>,
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}
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#[async_trait]
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impl Client for VertexAIClient {
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client_common_fns!();
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async fn send_message_inner(&self, client: &ReqwestClient, data: SendData) -> Result<String> {
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self.prepare_access_token().await?;
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let builder = self.request_builder(client, data)?;
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send_message(builder).await
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}
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async fn send_message_streaming_inner(
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&self,
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client: &ReqwestClient,
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handler: &mut ReplyHandler,
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data: SendData,
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) -> Result<()> {
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self.prepare_access_token().await?;
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let builder = self.request_builder(client, data)?;
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send_message_streaming(builder, handler).await
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}
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}
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impl VertexAIClient {
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list_models_fn!(VertexAIConfig, &MODELS);
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config_get_fn!(api_base, get_api_base);
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pub const PROMPTS: [PromptType<'static>; 1] =
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[("api_base", "API Base:", true, PromptKind::String)];
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fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
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let api_base = self.get_api_base()?;
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let func = match data.stream {
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true => "streamGenerateContent",
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false => "generateContent",
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};
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let block_threshold = self.config.block_threshold.clone();
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let body = build_body(data, &self.model, block_threshold)?;
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let model = &self.model.name;
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let url = format!("{api_base}/{}:{}", model, func);
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debug!("VertexAI Request: {url} {body}");
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let builder = client
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.post(url)
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.bearer_auth(unsafe { &ACCESS_TOKEN.0 })
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.json(&body);
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Ok(builder)
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}
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async fn prepare_access_token(&self) -> Result<()> {
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if unsafe { ACCESS_TOKEN.0.is_empty() || Utc::now().timestamp() > ACCESS_TOKEN.1 } {
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let client = self.build_client()?;
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let (token, expires_in) = fetch_access_token(&client, &self.config.adc_file)
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.await
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.with_context(|| "Failed to fetch access token")?;
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let expires_at = Utc::now()
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+ Duration::try_seconds(expires_in)
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.ok_or_else(|| anyhow!("Failed to parse expires_in of access_token"))?;
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unsafe { ACCESS_TOKEN = (token, expires_at.timestamp()) };
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}
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Ok(())
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}
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}
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pub(crate) async fn send_message(builder: RequestBuilder) -> Result<String> {
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let res = builder.send().await?;
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let status = res.status();
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let data: Value = res.json().await?;
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if status != 200 {
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catch_error(&data, status.as_u16())?;
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}
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let output = extract_text(&data)?;
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Ok(output.to_string())
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}
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pub(crate) async fn send_message_streaming(
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builder: RequestBuilder,
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handler: &mut ReplyHandler,
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) -> Result<()> {
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let res = builder.send().await?;
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let status = res.status();
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if status != 200 {
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let data: Value = res.json().await?;
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catch_error(&data, status.as_u16())?;
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} else {
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let handle = |value: &str| -> Result<()> {
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let value: Value = serde_json::from_str(value)?;
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handler.text(extract_text(&value)?)?;
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Ok(())
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};
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json_stream(res.bytes_stream(), handle).await?;
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}
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Ok(())
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}
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fn extract_text(data: &Value) -> Result<&str> {
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match data["candidates"][0]["content"]["parts"][0]["text"].as_str() {
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Some(text) => Ok(text),
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None => {
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if let Some("SAFETY") = data["promptFeedback"]["blockReason"]
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.as_str()
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.or_else(|| data["candidates"][0]["finishReason"].as_str())
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{
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bail!("Blocked by safety settings，consider adjusting `block_threshold` in the client configuration")
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} else {
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bail!("Invalid response data: {data}")
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}
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}
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}
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}
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pub(crate) fn build_body(
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data: SendData,
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model: &Model,
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block_threshold: Option<String>,
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) -> Result<Value> {
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let SendData {
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mut messages,
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temperature,
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top_p,
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stream: _,
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} = data;
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patch_system_message(&mut messages);
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let mut network_image_urls = vec![];
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let contents: Vec<Value> = messages
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.into_iter()
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.map(|message| {
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let role = match message.role {
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MessageRole::User => "user",
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_ => "model",
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};
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match message.content {
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MessageContent::Text(text) => json!({
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"role": role,
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"parts": [{ "text": text }]
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}),
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MessageContent::Array(list) => {
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let list: Vec<Value> = list
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.into_iter()
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.map(|item| match item {
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MessageContentPart::Text { text } => json!({"text": text}),
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MessageContentPart::ImageUrl { image_url: ImageUrl { url } } => {
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if let Some((mime_type, data)) = url.strip_prefix("data:").and_then(|v| v.split_once(";base64,")) {
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json!({ "inline_data": { "mime_type": mime_type, "data": data } })
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} else {
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network_image_urls.push(url.clone());
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json!({ "url": url })
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}
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},
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})
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.collect();
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json!({ "role": role, "parts": list })
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}
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}
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})
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.collect();
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if !network_image_urls.is_empty() {
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bail!(
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"The model does not support network images: {:?}",
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network_image_urls
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);
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}
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let mut body = json!({ "contents": contents, "generationConfig": {} });
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if let Some(block_threshold) = block_threshold {
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body["safetySettings"] = json!([
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{"category":"HARM_CATEGORY_HARASSMENT","threshold":block_threshold},
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{"category":"HARM_CATEGORY_HATE_SPEECH","threshold":block_threshold},
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{"category":"HARM_CATEGORY_SEXUALLY_EXPLICIT","threshold":block_threshold},
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{"category":"HARM_CATEGORY_DANGEROUS_CONTENT","threshold":block_threshold}
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]);
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}
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if let Some(max_output_tokens) = model.max_output_tokens {
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body["generationConfig"]["maxOutputTokens"] = max_output_tokens.into();
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}
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if let Some(temperature) = temperature {
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body["generationConfig"]["temperature"] = temperature.into();
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}
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if let Some(top_p) = top_p {
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body["generationConfig"]["topP"] = top_p.into();
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}
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Ok(body)
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}
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fn catch_error(data: &Value, status: u16) -> Result<()> {
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debug!("Invalid response, status: {status}, data: {data}");
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if let Some((Some(status), Some(message))) = data[0]["error"].as_object().map(|v| {
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(
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v.get("status").and_then(|v| v.as_str()),
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v.get("message").and_then(|v| v.as_str()),
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)
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}) {
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if status == "UNAUTHENTICATED" {
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unsafe { ACCESS_TOKEN = (String::new(), 0) }
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}
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bail!("{message} (status: {status})")
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} else {
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bail!("Invalid response, status: {status}, data: {data}",);
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}
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}
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async fn fetch_access_token(
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client: &reqwest::Client,
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file: &Option<String>,
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) -> Result<(String, i64)> {
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let credentials = load_adc(file).await?;
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let value: Value = client
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.post("https://oauth2.googleapis.com/token")
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.json(&credentials)
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.send()
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.await?
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.json()
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.await?;
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if let (Some(access_token), Some(expires_in)) =
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(value["access_token"].as_str(), value["expires_in"].as_i64())
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{
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Ok((access_token.to_string(), expires_in))
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} else if let Some(err_msg) = value["error_description"].as_str() {
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bail!("{err_msg}")
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} else {
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bail!("Invalid response data")
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}
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}
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async fn load_adc(file: &Option<String>) -> Result<Value> {
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let adc_file = file
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.as_ref()
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.map(PathBuf::from)
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.or_else(default_adc_file)
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.ok_or_else(|| anyhow!("No application_default_credentials.json"))?;
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let data = tokio::fs::read_to_string(adc_file).await?;
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let data: Value = serde_json::from_str(&data)?;
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if let (Some(client_id), Some(client_secret), Some(refresh_token)) = (
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data["client_id"].as_str(),
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data["client_secret"].as_str(),
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data["refresh_token"].as_str(),
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) {
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Ok(json!({
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"client_id": client_id,
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"client_secret": client_secret,
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"refresh_token": refresh_token,
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"grant_type": "refresh_token",
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}))
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} else {
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bail!("Invalid application_default_credentials.json")
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}
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}
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#[cfg(not(windows))]
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fn default_adc_file() -> Option<PathBuf> {
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let mut path = dirs::home_dir()?;
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path.push(".config");
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path.push("gcloud");
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path.push("application_default_credentials.json");
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Some(path)
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}
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#[cfg(windows)]
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fn default_adc_file() -> Option<PathBuf> {
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let mut path = dirs::config_dir()?;
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path.push("gcloud");
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path.push("application_default_credentials.json");
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Some(path)
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}
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