feat: support vertexai (#308)

config.example.yaml

@@ -56,7 +56,7 @@ clients:
 
   # See https://learn.microsoft.com/en-us/azure/ai-services/openai/chatgpt-quickstart
   - type: azure-openai
-    api_base: https://RESOURCE.openai.azure.com
+    api_base: https://{RESOURCE}.openai.azure.com
     api_key: xxx
     models:
       - name: MyGPT4                                  # Model deployment name
@@ -69,4 +69,9 @@ clients:
 
   # See https://help.aliyun.com/zh/dashscope/
   - type: qianwen
-    api_key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+    api_key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+
+  # See https://cloud.google.com/vertex-ai
+  - type: vertexai
+    api_base: https://{REGION}-aiplatform.googleapis.com/v1/projects/{PROJECT_ID}/locations/{REGION}/publishers/google/models
+    api_key: xxx

src/client/gemini.rs

@@ -89,7 +89,7 @@ impl GeminiClient {
     }
 }
 
-async fn send_message(builder: RequestBuilder) -> Result<String> {
+pub(crate) async fn send_message(builder: RequestBuilder) -> Result<String> {
     let res = builder.send().await?;
     let status = res.status();
     let data: Value = res.json().await?;
@@ -102,7 +102,7 @@ async fn send_message(builder: RequestBuilder) -> Result<String> {
     Ok(output.to_string())
 }
 
-async fn send_message_streaming(builder: RequestBuilder, handler: &mut ReplyHandler) -> Result<()> {
+pub(crate) async fn send_message_streaming(builder: RequestBuilder, handler: &mut ReplyHandler) -> Result<()> {
     let res = builder.send().await?;
     if res.status() != 200 {
         let data: Value = res.json().await?;
@@ -178,7 +178,7 @@ fn check_error(data: &Value) -> Result<()> {
     }
 }
 
-fn build_body(data: SendData, _model: String) -> Result<Value> {
+pub(crate) fn build_body(data: SendData, _model: String) -> Result<Value> {
     let SendData {
         mut messages,
         temperature,

src/client/mod.rs

@@ -20,4 +20,5 @@ register_client!(
     ),
     (ernie, "ernie", ErnieConfig, ErnieClient),
     (qianwen, "qianwen", QianwenConfig, QianwenClient),
+    (vertexai, "vertexai", VertexAIConfig, VertexAIClient),
 );

src/client/vertexai.rs

@@ -0,0 +1,92 @@
+use super::{
+    Client, ExtraConfig, VertexAIClient, Model, PromptType,
+    SendData, TokensCountFactors,
+};
+use super::gemini::{build_body, send_message, send_message_streaming};
+
+use crate::{render::ReplyHandler, utils::PromptKind};
+
+use anyhow::Result;
+use async_trait::async_trait;
+use reqwest::{Client as ReqwestClient, RequestBuilder};
+use serde::Deserialize;
+
+const MODELS: [(&str, usize, &str); 2] = [
+    ("gemini-pro", 32760, "text"),
+    ("gemini-pro-vision", 16384, "text,vision"),
+];
+
+const TOKENS_COUNT_FACTORS: TokensCountFactors = (5, 2);
+
+#[derive(Debug, Clone, Deserialize, Default)]
+pub struct VertexAIConfig {
+    pub name: Option<String>,
+    pub api_base: Option<String>,
+    pub api_key: Option<String>,
+    pub extra: Option<ExtraConfig>,
+}
+
+#[async_trait]
+impl Client for VertexAIClient {
+    client_common_fns!();
+
+    async fn send_message_inner(&self, client: &ReqwestClient, data: SendData) -> Result<String> {
+        let builder = self.request_builder(client, data)?;
+        send_message(builder).await
+    }
+
+    async fn send_message_streaming_inner(
+        &self,
+        client: &ReqwestClient,
+        handler: &mut ReplyHandler,
+        data: SendData,
+    ) -> Result<()> {
+        let builder = self.request_builder(client, data)?;
+        send_message_streaming(builder, handler).await
+    }
+}
+
+impl VertexAIClient {
+    config_get_fn!(api_base, get_api_base);
+    config_get_fn!(api_key, get_api_key);
+
+    pub const PROMPTS: [PromptType<'static>; 2] = [
+        ("api_base", "API Base:", true, PromptKind::String),
+        ("api_key", "API Key:", true, PromptKind::String),
+    ];
+
+    pub fn list_models(local_config: &VertexAIConfig) -> Vec<Model> {
+        let client_name = Self::name(local_config);
+        MODELS
+            .into_iter()
+            .map(|(name, max_tokens, capabilities)| {
+                Model::new(client_name, name)
+                    .set_capabilities(capabilities.into())
+                    .set_max_tokens(Some(max_tokens))
+                    .set_tokens_count_factors(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 func = match data.stream {
+            true => "streamGenerateContent",
+            false => "generateContent",
+        };
+
+        let body = build_body(data, self.model.name.clone())?;
+
+        let model = self.model.name.clone();
+
+        let url = format!("{api_base}/{}:{}", model, func);
+
+        debug!("VertexAI Request: {url} {body}");
+
+        let builder = client.post(url).bearer_auth(api_key).json(&body);
+
+        Ok(builder)
+    }
+}