Add Cody chat and deep seek coder v3 to the app

public/locales/en/chat.json

@@ -31,5 +31,7 @@
   "signin-tips": "<0> Please <1>sign in</1> to deploy an Agent! 🤖 </0> ",
   "generating-response": "🧠 Generating response...",
   "searching-web-for": "🌐 Searching the web for {{arg}} ...",
-  "pause-mode": "Pause Mode"
+  "pause-mode": "Pause Mode",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/en/common.json

@@ -35,5 +35,7 @@
   "placeholder-agent-goal": "Make the world a better place.",
   "paused": "Paused",
   "add-task": "Add Task: ",
-  "custom-task": "Custom Task"
+  "custom-task": "Custom Task",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/en/help.json

@@ -5,5 +5,7 @@
   "long-term-memory": "Long term memory",
   "web-browsing": "Web browsing",
   "interaction-with-websites-and-people": "Interaction with websites and people",
-  "follow-our-footsteps": "Please follow in our footsteps:"
+  "follow-our-footsteps": "Please follow in our footsteps:",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/en/settings.json

@@ -10,11 +10,13 @@
   "temp-tips": "Higher values will make the output more random, while lower values make the output more focused and deterministic.",
   "loop": "Loop #:",
   "loop-tips": "Controls the maximum number of loops that the agent will run (higher value will make more API calls).",
-  "api-key-notice": "<0>NOTE: To get a key, sign up for an OpenAI account and visit the following <1>link.</1>,This key is only used in the current browser session</0>",
+  "api-key-notice": "<0>NOTE: To get a key, sign up for an OpenAI account and visit the following <1>link。</1>,This key is only used in the current browser session</0>",
   "tokens-tips": "Controls the maximum number of tokens used in each API call (higher value will make responses more detailed but cost more).",
   "tokens": "Tokens: ",
   "guest-key": "Guest Key: ",
   "endPoint": "Endpoint: ",
   "mode": "Mode: ",
-  "mode-tips": "Automatic Mode (Default): Agent automatically executes every task. \n\nPause Mode: Agent pauses after every set of task(s)"
+  "mode-tips": "Automatic Mode (Default): Agent automatically executes every task. \n\nPause Mode: Agent pauses after every set of task(s)",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/zh/chat.json

@@ -31,5 +31,7 @@
   "signin-tips": "<0> 请 <1>登录</1> 以部署代理! 🤖 </0> ",
   "generating-response": "🧠  生成回复中...",
   "searching-web-for": "🌐 正在搜索 {{arg}} ...",
-  "pause-mode": "暂停模式"
+  "pause-mode": "暂停模式",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/zh/common.json

@@ -35,5 +35,7 @@
   "placeholder-agent-goal": "让世界变得更美好。",
   "paused": "已暂停",
   "add-task": "新增任务：",
-  "custom-task": "自定义任务"
+  "custom-task": "自定义任务",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/zh/help.json

@@ -5,5 +5,7 @@
   "long-term-memory": "长期记忆",
   "web-browsing": "网络浏览",
   "interaction-with-websites-and-people": "与网站和人的互动",
-  "follow-our-footsteps": "请跟随我们的脚步："
+  "follow-our-footsteps": "请跟随我们的脚步：",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

public/locales/zh/settings.json

@@ -16,5 +16,7 @@
   "guest-key": "访问码：",
   "endPoint": "代理：",
   "mode": "模式：",
-  "mode-tips": "自动模式 (默认): 代理程序自动执行每个任务。\n\n暂停模式: 代理程序在每组任务后暂停"
+  "mode-tips": "自动模式 (默认): 代理程序自动执行每个任务。\n\n暂停模式: 代理程序在每组任务后暂停",
+  "cody-chat": "Cody Chat",
+  "deep-seek-coder-v3": "Deep Seek Coder V3"
 }

src/components/SettingsDialog.tsx

@@ -10,6 +10,8 @@ import {
   FaCoins,
   FaCode,
   FaServer,
+  FaComments,
+  FaSearch,
 } from "react-icons/fa";
 import Dialog from "./Dialog";
 import Input from "./Input";
@@ -166,6 +168,26 @@ export const SettingsDialog: React.FC<{
           step: 100,
         }}
       />
+      <Input
+        left={
+          <>
+            <FaComments />
+            <span className="ml-2">{t("cody-chat")}</span>
+          </>
+        }
+        value={settings.codyChat}
+        onChange={(e) => updateSettings("codyChat", e.target.value)}
+      />
+      <Input
+        left={
+          <>
+            <FaSearch />
+            <span className="ml-2">{t("deep-seek-coder-v3")}</span>
+          </>
+        }
+        value={settings.deepSeekCoderV3}
+        onChange={(e) => updateSettings("deepSeekCoderV3", e.target.value)}
+      />
     </div>
   );
 

src/components/SignInDialog.tsx

@@ -28,6 +28,9 @@ export const SignInDialog = ({ show, close }: SignInDialogProps) => {
           </a>
           to deploy an Agent! 🤖
         </p>
+        <p>
+          You can also use Cody chat and deep seek coder v3 after signing in.
+        </p>
       </Trans>
     </Dialog>
   );

src/components/SorryDialog.tsx

@@ -26,6 +26,9 @@ export const SorryDialog = ({ show, close }: SorryDialogProps) => {
             More Detials
           </a>
         </p>
+        <p>
+          You can also use Cody chat and deep seek coder v3 after signing in.
+        </p>
       </Trans>
     </Dialog>
   );

src/hooks/useSettings.ts

@@ -19,6 +19,8 @@ export const DEFAULT_SETTINGS: ModelSettings = {
   customMaxTokens: DEFAULT_MAX_TOKENS,
   customEndPoint: "",
   customGuestKey: "",
+  codyChat: "",
+  deepSeekCoderV3: "",
 };
 
 const loadSettings = (): ModelSettings => {

src/pages/api/agent/analyze.ts

@@ -10,15 +10,16 @@ export const config = {
 
 const handler = async (request: NextRequest) => {
   try {
-    const { modelSettings, goal, task } = (await request.json()) as RequestBody;
+    const { modelSettings, goal, task, customLanguage } = (await request.json()) as RequestBody;
     if (task === undefined) {
       return;
     }
 
     const response = await AgentService.analyzeTaskAgent(
       modelSettings,
       goal,
-      task
+      task,
+      customLanguage
     );
     return NextResponse.json({
       response: response,

src/pages/api/agent/create.ts

@@ -18,21 +18,37 @@ const handler = async (request: NextRequest) => {
       result,
       completedTasks,
       customLanguage,
+      agentType,
     } = (await request.json()) as RequestBody;
 
     if (tasks === undefined || lastTask === undefined || result === undefined) {
       return;
     }
 
-    const newTasks = await AgentService.createTasksAgent(
-      modelSettings,
-      goal,
-      tasks,
-      lastTask,
-      result,
-      completedTasks,
-      customLanguage
-    );
+    let newTasks;
+    if (agentType === "codyChat") {
+      newTasks = await AgentService.codyChatAgent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    } else if (agentType === "deepSeekCoderV3") {
+      newTasks = await AgentService.deepSeekCoderV3Agent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    } else {
+      newTasks = await AgentService.createTasksAgent(
+        modelSettings,
+        goal,
+        tasks,
+        lastTask,
+        result,
+        completedTasks,
+        customLanguage
+      );
+    }
 
     return NextResponse.json({ newTasks });
   } catch (e) {}

src/pages/api/agent/execute.ts

@@ -10,19 +10,35 @@ export const config = {
 
 const handler = async (request: NextRequest) => {
   try {
-    const { modelSettings, goal, task, analysis, customLanguage } =
+    const { modelSettings, goal, task, analysis, customLanguage, agentType } =
       (await request.json()) as RequestBody;
     if (task === undefined) {
       return;
     }
 
-    const response = await AgentService.executeTaskAgent(
-      modelSettings,
-      goal,
-      task,
-      analysis || DefaultAnalysis,
-      customLanguage
-    );
+    let response;
+    if (agentType === "codyChat") {
+      response = await AgentService.codyChatAgent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    } else if (agentType === "deepSeekCoderV3") {
+      response = await AgentService.deepSeekCoderV3Agent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    } else {
+      response = await AgentService.executeTaskAgent(
+        modelSettings,
+        goal,
+        task,
+        analysis || DefaultAnalysis,
+        customLanguage
+      );
+    }
+
     return NextResponse.json({
       response: response,
     });

src/pages/api/agent/start.ts

@@ -10,13 +10,30 @@ export const config = {
 
 const handler = async (request: NextRequest) => {
   try {
-    const { modelSettings, goal, customLanguage } =
+    const { modelSettings, goal, customLanguage, agentType } =
       (await request.json()) as RequestBody;
-    const newTasks = await AgentService.startGoalAgent(
-      modelSettings,
-      goal,
-      customLanguage
-    );
+
+    let newTasks;
+    if (agentType === "codyChat") {
+      newTasks = await AgentService.codyChatAgent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    } else if (agentType === "deepSeekCoderV3") {
+      newTasks = await AgentService.deepSeekCoderV3Agent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    } else {
+      newTasks = await AgentService.startGoalAgent(
+        modelSettings,
+        goal,
+        customLanguage
+      );
+    }
+
     return NextResponse.json({ newTasks });
   } catch (e) {}
 

src/services/agent-service.ts

@@ -118,6 +118,38 @@ async function createTasksAgent(
   return extractTasks(completion.text as string, completedTasks || []);
 }
 
+async function codyChatAgent(
+  modelSettings: ModelSettings,
+  goal: string,
+  customLanguage: string
+) {
+  const completion = await new LLMChain({
+    llm: createModel(modelSettings),
+    prompt: startGoalPrompt,
+  }).call({
+    goal,
+    customLanguage,
+  });
+  console.log("Cody Chat Goal", goal, "Completion:" + (completion.text as string));
+  return extractTasks(completion.text as string, []);
+}
+
+async function deepSeekCoderV3Agent(
+  modelSettings: ModelSettings,
+  goal: string,
+  customLanguage: string
+) {
+  const completion = await new LLMChain({
+    llm: createModel(modelSettings),
+    prompt: startGoalPrompt,
+  }).call({
+    goal,
+    customLanguage,
+  });
+  console.log("Deep Seek Coder V3 Goal", goal, "Completion:" + (completion.text as string));
+  return extractTasks(completion.text as string, []);
+}
+
 interface AgentService {
   startGoalAgent: (
     modelSettings: ModelSettings,
@@ -146,13 +178,25 @@ interface AgentService {
     completedTasks: string[] | undefined,
     customLanguage: string,
   ) => Promise<string[]>;
+  codyChatAgent: (
+    modelSettings: ModelSettings,
+    goal: string,
+    customLanguage: string
+  ) => Promise<string[]>;
+  deepSeekCoderV3Agent: (
+    modelSettings: ModelSettings,
+    goal: string,
+    customLanguage: string
+  ) => Promise<string[]>;
 }
 
 const OpenAIAgentService: AgentService = {
   startGoalAgent: startGoalAgent,
   analyzeTaskAgent: analyzeTaskAgent,
   executeTaskAgent: executeTaskAgent,
   createTasksAgent: createTasksAgent,
+  codyChatAgent: codyChatAgent,
+  deepSeekCoderV3Agent: deepSeekCoderV3Agent,
 };
 
 const MockAgentService: AgentService = {
@@ -194,6 +238,14 @@ const MockAgentService: AgentService = {
   ) => {
     return await new Promise((resolve) => resolve("Result: " + task));
   },
+
+  codyChatAgent: async (modelSettings, goal, customLanguage) => {
+    return await new Promise((resolve) => resolve(["Cody Chat Task 1"]));
+  },
+
+  deepSeekCoderV3Agent: async (modelSettings, goal, customLanguage) => {
+    return await new Promise((resolve) => resolve(["Deep Seek Coder V3 Task 1"]));
+  },
 };
 
 export default env.NEXT_PUBLIC_FF_MOCK_MODE_ENABLED

src/utils/types.ts

@@ -6,6 +6,8 @@ export type ModelSettings = {
   customEndPoint?: string;
   customMaxTokens?: number;
   customGuestKey?: string;
+  codyChat?: string;
+  deepSeekCoderV3?: string;
 };
 
 export type GuestSettings = {