fix: #203

README.md

@@ -105,6 +105,9 @@
     - 配置自定义接口地址（可选） `GOOGLE_BASE_URL`，可以使用我的这个项目搭建一个基于 vercel 的代理服务：[google-gemini-vercel-proxy](https://github.com/Hk-Gosuto/google-gemini-vercel-proxy)
   - 常见问题参考：[Gemini Prompting FAQs](https://js.langchain.com/docs/integrations/chat/google_generativeai#gemini-prompting-faqs)
   - gemini-pro-vision 模型需要配置对象存储服务，请参考 [对象存储服务配置指南](./docs/s3-oss.md) 配置
+  - ⚠ gemini-pro-vision 注意事项 (https://github.com/Hk-Gosuto/ChatGPT-Next-Web-LangChain/issues/203)：
+    - 每次对话必须包含图像数据，不然会出现 `Add an image to use models/gemini-pro-vision, or switch your model to a text model.` 错误。
+    - 只支持单轮对话，多轮对话话出现 `Multiturn chat is not enabled for models/gemini-pro-vision` 错误。
 
 - 非 Vercel 运行环境下支持本地存储
 

app/client/platforms/google.ts

@@ -172,7 +172,10 @@ export class GeminiProApi implements LLMApi {
         // start animaion
         animateResponseText();
         fetch(streamChatPath, chatPayload)
-          .then((response) => {
+          .then(async (response) => {
+            if (!response.ok) {
+              throw new Error(await response?.text());
+            }
             const reader = response?.body?.getReader();
             const decoder = new TextDecoder();
             let partialData = "";
@@ -220,6 +223,7 @@ export class GeminiProApi implements LLMApi {
           })
           .catch((error) => {
             console.error("Error:", error);
+            options.onError?.(error as Error);
           });
       } else {
         const res = await fetch(chatPath, chatPayload);

app/constant.ts

@@ -105,6 +105,7 @@ Latex block: $$e=mc^2$$
 `;
 
 export const SUMMARIZE_MODEL = "gpt-3.5-turbo";
+export const GOOGLE_SUMMARIZE_MODEL = "gemini-pro";
 
 export const KnowledgeCutOffDate: Record<string, string> = {
   default: "2021-09",

app/store/chat.ts

@@ -8,6 +8,7 @@ import {
   DEFAULT_INPUT_TEMPLATE,
   DEFAULT_MODELS,
   DEFAULT_SYSTEM_TEMPLATE,
+  GOOGLE_SUMMARIZE_MODEL,
   KnowledgeCutOffDate,
   ModelProvider,
   StoreKey,
@@ -96,6 +97,7 @@ function getSummarizeModel(currentModel: string) {
   const model = DEFAULT_MODELS.find((m) => m.name === currentModel);
   console.log("model", model);
   if (!model) return currentModel;
+  if (model.provider.providerType === "google") return GOOGLE_SUMMARIZE_MODEL;
   // if it is using gpt-* models, force to use 3.5 to summarize
   return currentModel.startsWith("gpt") ? SUMMARIZE_MODEL : currentModel;
 }