fix max_completions_tokens

优化访问码输入框

app/client/platforms/google.ts

@@ -7,21 +7,25 @@ import {
   LLMUsage,
   SpeechOptions,
 } from "../api";
-import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  usePluginStore,
+  ChatMessageTool,
+} from "@/app/store";
+import { stream } from "@/app/utils/chat";
 import { getClientConfig } from "@/app/config/client";
 import { GEMINI_BASE_URL } from "@/app/constant";
-import Locale from "../../locales";
-import {
-  EventStreamContentType,
-  fetchEventSource,
-} from "@fortaine/fetch-event-source";
-import { prettyObject } from "@/app/utils/format";
+
 import {
   getMessageTextContent,
   getMessageImages,
   isVisionModel,
 } from "@/app/utils";
 import { preProcessImageContent } from "@/app/utils/chat";
+import { nanoid } from "nanoid";
+import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
 
 export class GeminiProApi implements LLMApi {
@@ -178,115 +182,81 @@ export class GeminiProApi implements LLMApi {
       );
 
       if (shouldStream) {
-        let responseText = "";
-        let remainText = "";
-        let finished = false;
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return stream(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          // @ts-ignore
+          [{ functionDeclarations: tools.map((tool) => tool.function) }],
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const chunkJson = JSON.parse(text);
 
-        const finish = () => {
-          if (!finished) {
-            finished = true;
-            options.onFinish(responseText + remainText);
-          }
-        };
-
-        // animate response to make it looks smooth
-        function animateResponseText() {
-          if (finished || controller.signal.aborted) {
-            responseText += remainText;
-            finish();
-            return;
-          }
-
-          if (remainText.length > 0) {
-            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
-            const fetchText = remainText.slice(0, fetchCount);
-            responseText += fetchText;
-            remainText = remainText.slice(fetchCount);
-            options.onUpdate?.(responseText, fetchText);
-          }
-
-          requestAnimationFrame(animateResponseText);
-        }
-
-        // start animaion
-        animateResponseText();
-
-        controller.signal.onabort = finish;
-
-        fetchEventSource(chatPath, {
-          fetch: fetch as any,
-          ...chatPayload,
-          async onopen(res) {
-            clearTimeout(requestTimeoutId);
-            const contentType = res.headers.get("content-type");
-            console.log(
-              "[Gemini] request response content type: ",
-              contentType,
+            const functionCall = chunkJson?.candidates
+              ?.at(0)
+              ?.content.parts.at(0)?.functionCall;
+            if (functionCall) {
+              const { name, args } = functionCall;
+              runTools.push({
+                id: nanoid(),
+                type: "function",
+                function: {
+                  name,
+                  arguments: JSON.stringify(args), // utils.chat call function, using JSON.parse
+                },
+              });
+            }
+            return chunkJson?.candidates?.at(0)?.content.parts.at(0)?.text;
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.contents?.splice(
+              // @ts-ignore
+              requestPayload?.contents?.length,
+              0,
+              {
+                role: "model",
+                parts: toolCallMessage.tool_calls.map(
+                  (tool: ChatMessageTool) => ({
+                    functionCall: {
+                      name: tool?.function?.name,
+                      args: JSON.parse(tool?.function?.arguments as string),
+                    },
+                  }),
+                ),
+              },
+              // @ts-ignore
+              ...toolCallResult.map((result) => ({
+                role: "function",
+                parts: [
+                  {
+                    functionResponse: {
+                      name: result.name,
+                      response: {
+                        name: result.name,
+                        content: result.content, // TODO just text content...
+                      },
+                    },
+                  },
+                ],
+              })),
             );
-
-            if (contentType?.startsWith("text/plain")) {
-              responseText = await res.clone().text();
-              return finish();
-            }
-
-            if (
-              !res.ok ||
-              !res.headers
-                .get("content-type")
-                ?.startsWith(EventStreamContentType) ||
-              res.status !== 200
-            ) {
-              const responseTexts = [responseText];
-              let extraInfo = await res.clone().text();
-              try {
-                const resJson = await res.clone().json();
-                extraInfo = prettyObject(resJson);
-              } catch {}
-
-              if (res.status === 401) {
-                responseTexts.push(Locale.Error.Unauthorized);
-              }
-
-              if (extraInfo) {
-                responseTexts.push(extraInfo);
-              }
-
-              responseText = responseTexts.join("\n\n");
-
-              return finish();
-            }
           },
-          onmessage(msg) {
-            if (msg.data === "[DONE]" || finished) {
-              return finish();
-            }
-            const text = msg.data;
-            try {
-              const json = JSON.parse(text);
-              const delta = apiClient.extractMessage(json);
-
-              if (delta) {
-                remainText += delta;
-              }
-
-              const blockReason = json?.promptFeedback?.blockReason;
-              if (blockReason) {
-                // being blocked
-                console.log(`[Google] [Safety Ratings] result:`, blockReason);
-              }
-            } catch (e) {
-              console.error("[Request] parse error", text, msg);
-            }
-          },
-          onclose() {
-            finish();
-          },
-          onerror(e) {
-            options.onError?.(e);
-            throw e;
-          },
-          openWhenHidden: true,
-        });
+          options,
+        );
       } else {
         const res = await fetch(chatPath, chatPayload);
         clearTimeout(requestTimeoutId);

app/client/platforms/openai.ts

@@ -63,7 +63,7 @@ export interface RequestPayload {
   presence_penalty: number;
   frequency_penalty: number;
   top_p: number;
-  max_tokens?: number;
+  max_completions_tokens?: number;
 }
 
 export interface DalleRequestPayload {
@@ -228,13 +228,16 @@ export class ChatGPTApi implements LLMApi {
         presence_penalty: !isO1 ? modelConfig.presence_penalty : 0,
         frequency_penalty: !isO1 ? modelConfig.frequency_penalty : 0,
         top_p: !isO1 ? modelConfig.top_p : 1,
-        // max_tokens: Math.max(modelConfig.max_tokens, 1024),
-        // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
+        // max_completions_tokens: Math.max(modelConfig.max_completions_tokens, 1024),
+        // Please do not ask me why not send max_completions_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
-      // add max_tokens to vision model
+      // add max_completions_tokens to vision model
       if (visionModel) {
-        requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
+        requestPayload["max_completions_tokens"] = Math.max(
+          modelConfig.max_completions_tokens,
+          4000,
+        );
       }
     }
 

app/components/auth.tsx

@@ -11,6 +11,7 @@ import Logo from "../icons/logo.svg";
 import { useMobileScreen } from "@/app/utils";
 import BotIcon from "../icons/bot.svg";
 import { getClientConfig } from "../config/client";
+import { PasswordInput } from "./ui-lib";
 import LeftIcon from "@/app/icons/left.svg";
 import { safeLocalStorage } from "@/app/utils";
 import {
@@ -60,36 +61,43 @@ export function AuthPage() {
       <div className={styles["auth-title"]}>{Locale.Auth.Title}</div>
       <div className={styles["auth-tips"]}>{Locale.Auth.Tips}</div>
 
-      <input
-        className={styles["auth-input"]}
-        type="password"
-        placeholder={Locale.Auth.Input}
+      <PasswordInput
+        style={{ marginTop: "3vh", marginBottom: "3vh" }}
+        aria={Locale.Settings.ShowPassword}
+        aria-label={Locale.Auth.Input}
         value={accessStore.accessCode}
+        type="text"
+        placeholder={Locale.Auth.Input}
         onChange={(e) => {
           accessStore.update(
             (access) => (access.accessCode = e.currentTarget.value),
           );
         }}
       />
+
       {!accessStore.hideUserApiKey ? (
         <>
           <div className={styles["auth-tips"]}>{Locale.Auth.SubTips}</div>
-          <input
-            className={styles["auth-input"]}
-            type="password"
-            placeholder={Locale.Settings.Access.OpenAI.ApiKey.Placeholder}
+          <PasswordInput
+            style={{ marginTop: "3vh", marginBottom: "3vh" }}
+            aria={Locale.Settings.ShowPassword}
+            aria-label={Locale.Settings.Access.OpenAI.ApiKey.Placeholder}
             value={accessStore.openaiApiKey}
+            type="text"
+            placeholder={Locale.Settings.Access.OpenAI.ApiKey.Placeholder}
             onChange={(e) => {
               accessStore.update(
                 (access) => (access.openaiApiKey = e.currentTarget.value),
               );
             }}
           />
-          <input
-            className={styles["auth-input-second"]}
-            type="password"
-            placeholder={Locale.Settings.Access.Google.ApiKey.Placeholder}
+          <PasswordInput
+            style={{ marginTop: "3vh", marginBottom: "3vh" }}
+            aria={Locale.Settings.ShowPassword}
+            aria-label={Locale.Settings.Access.Google.ApiKey.Placeholder}
             value={accessStore.googleApiKey}
+            type="text"
+            placeholder={Locale.Settings.Access.Google.ApiKey.Placeholder}
             onChange={(e) => {
               accessStore.update(
                 (access) => (access.googleApiKey = e.currentTarget.value),

app/store/config.ts

@@ -65,7 +65,7 @@ export const DEFAULT_CONFIG = {
     providerName: "OpenAI" as ServiceProvider,
     temperature: 0.5,
     top_p: 1,
-    max_tokens: 4000,
+    max_completions_tokens: 4000,
     presence_penalty: 0,
     frequency_penalty: 0,
     sendMemory: true,
@@ -127,7 +127,7 @@ export const ModalConfigValidator = {
   model(x: string) {
     return x as ModelType;
   },
-  max_tokens(x: number) {
+  max_completions_tokens(x: number) {
     return limitNumber(x, 0, 512000, 1024);
   },
   presence_penalty(x: number) {

app/store/prompt.ts

@@ -151,7 +151,7 @@ export const usePromptStore = createPersistStore(
       if (typeof window === "undefined") {
         return;
       }
-      
+
       const PROMPT_URL = "./prompts.json";
 
       type PromptList = Array<[string, string]>;

app/utils.ts

@@ -285,6 +285,9 @@ export function showPlugins(provider: ServiceProvider, model: string) {
   if (provider == ServiceProvider.Anthropic && !model.includes("claude-2")) {
     return true;
   }
+  if (provider == ServiceProvider.Google && !model.includes("vision")) {
+    return true;
+  }
   return false;
 }
 

app/utils/chat.ts

@@ -250,6 +250,7 @@ export function stream(
                 return e.toString();
               })
               .then((content) => ({
+                name: tool.function.name,
                 role: "tool",
                 content,
                 tool_call_id: tool.id,

jest.config.ts

@@ -0,0 +1,21 @@
+import type { Config } from "jest";
+import nextJest from "next/jest.js";
+
+const createJestConfig = nextJest({
+  // Provide the path to your Next.js app to load next.config.js and .env files in your test environment
+  dir: "./",
+});
+
+// Add any custom config to be passed to Jest
+const config: Config = {
+  coverageProvider: "v8",
+  testEnvironment: "jsdom",
+  testMatch: ["**/*.test.js", "**/*.test.ts", "**/*.test.jsx", "**/*.test.tsx"],
+  setupFilesAfterEnv: ["<rootDir>/jest.setup.ts"],
+  moduleNameMapper: {
+    "^@/(.*)$": "<rootDir>/$1",
+  },
+};
+
+// createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
+export default createJestConfig(config);

jest.setup.ts

@@ -0,0 +1,2 @@
+// Learn more: https://github.com/testing-library/jest-dom
+import "@testing-library/jest-dom";

package.json

@@ -6,16 +6,18 @@
     "mask": "npx tsx app/masks/build.ts",
     "mask:watch": "npx watch \"yarn mask\" app/masks",
     "dev": "concurrently -r \"yarn run mask:watch\" \"next dev\"",
-    "build": "yarn mask && cross-env BUILD_MODE=standalone next build",
+    "build": "yarn test:ci && yarn mask && cross-env BUILD_MODE=standalone next build",
     "start": "next start",
     "lint": "next lint",
-    "export": "yarn mask && cross-env BUILD_MODE=export BUILD_APP=1 next build",
+    "export": "yarn test:ci && yarn mask && cross-env BUILD_MODE=export BUILD_APP=1 next build",
     "export:dev": "concurrently -r \"yarn mask:watch\"  \"cross-env BUILD_MODE=export BUILD_APP=1 next dev\"",
     "app:dev": "concurrently -r \"yarn mask:watch\" \"yarn tauri dev\"",
-    "app:build": "yarn mask && yarn tauri build",
+    "app:build": "yarn test:ci && yarn mask && yarn tauri build",
     "prompts": "node ./scripts/fetch-prompts.mjs",
     "prepare": "husky install",
-    "proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev"
+    "proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev",
+    "test": "jest --watch",
+    "test:ci": "jest --ci"
   },
   "dependencies": {
     "@fortaine/fetch-event-source": "^3.0.6",
@@ -54,6 +56,9 @@
   "devDependencies": {
     "@tauri-apps/api": "^1.6.0",
     "@tauri-apps/cli": "1.5.11",
+    "@testing-library/jest-dom": "^6.4.8",
+    "@testing-library/react": "^16.0.0",
+    "@types/jest": "^29.5.12",
     "@types/js-yaml": "4.0.9",
     "@types/lodash-es": "^4.17.12",
     "@types/node": "^20.11.30",
@@ -69,8 +74,11 @@
     "eslint-plugin-prettier": "^5.1.3",
     "eslint-plugin-unused-imports": "^3.2.0",
     "husky": "^8.0.0",
+    "jest": "^29.7.0",
+    "jest-environment-jsdom": "^29.7.0",
     "lint-staged": "^13.2.2",
     "prettier": "^3.0.2",
+    "ts-node": "^10.9.2",
     "tsx": "^4.16.0",
     "typescript": "5.2.2",
     "watch": "^1.0.2",

test/sum-module.test.ts

@@ -0,0 +1,9 @@
+function sum(a: number, b: number) {
+  return a + b;
+}
+
+describe("sum module", () => {
+  test("adds 1 + 2 to equal 3", () => {
+    expect(sum(1, 2)).toBe(3);
+  });
+});