Making the LLM providers more generics (#10)

* WIP on making the LLM providers more generics

* Update changes in settings to the chat and completion LLM

* Cleaning and lint

* Provides only one completion provider

* Rename 'client' to 'provider' and LlmProvider to AIProvider for better readability

package.json

@@ -63,7 +63,8 @@
         "@langchain/core": "^0.3.13",
         "@langchain/mistralai": "^0.1.1",
         "@lumino/coreutils": "^2.1.2",
-        "@lumino/polling": "^2.1.2"
+        "@lumino/polling": "^2.1.2",
+        "@lumino/signaling": "^2.1.2"
     },
     "devDependencies": {
         "@jupyterlab/builder": "^4.0.0",

schema/ai-provider.json

@@ -0,0 +1,21 @@
+{
+  "title": "AI provider",
+  "description": "Provider settings",
+  "type": "object",
+  "properties": {
+    "provider": {
+      "type": "string",
+      "title": "The AI provider",
+      "description": "The AI provider to use for chat and completion",
+      "default": "None",
+      "enum": ["None", "MistralAI"]
+    },
+    "apiKey": {
+      "type": "string",
+      "title": "The Codestral API key",
+      "description": "The API key to use for Codestral",
+      "default": ""
+    }
+  },
+  "additionalProperties": false
+}

src/handler.ts → src/chat-handler.ts

@@ -9,23 +9,30 @@ import {
   IChatMessage,
   INewMessage
 } from '@jupyter/chat';
-import { UUID } from '@lumino/coreutils';
-import type { ChatMistralAI } from '@langchain/mistralai';
+import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import {
   AIMessage,
   HumanMessage,
   mergeMessageRuns
 } from '@langchain/core/messages';
+import { UUID } from '@lumino/coreutils';
 
 export type ConnectionMessage = {
   type: 'connection';
   client_id: string;
 };
 
-export class CodestralHandler extends ChatModel {
-  constructor(options: CodestralHandler.IOptions) {
+export class ChatHandler extends ChatModel {
+  constructor(options: ChatHandler.IOptions) {
     super(options);
-    this._mistralClient = options.mistralClient;
+    this._provider = options.provider;
+  }
+
+  get provider(): BaseChatModel | null {
+    return this._provider;
+  }
+  set provider(provider: BaseChatModel | null) {
+    this._provider = provider;
   }
 
   async sendMessage(message: INewMessage): Promise<boolean> {
@@ -38,6 +45,19 @@ export class CodestralHandler extends ChatModel {
       type: 'msg'
     };
     this.messageAdded(msg);
+
+    if (this._provider === null) {
+      const botMsg: IChatMessage = {
+        id: UUID.uuid4(),
+        body: '**AI provider not configured for the chat**',
+        sender: { username: 'ERROR' },
+        time: Date.now(),
+        type: 'msg'
+      };
+      this.messageAdded(botMsg);
+      return false;
+    }
+
     this._history.messages.push(msg);
 
     const messages = mergeMessageRuns(
@@ -48,13 +68,14 @@ export class CodestralHandler extends ChatModel {
         return new AIMessage(msg.body);
       })
     );
-    const response = await this._mistralClient.invoke(messages);
+
+    const response = await this._provider.invoke(messages);
     // TODO: fix deprecated response.text
     const content = response.text;
     const botMsg: IChatMessage = {
       id: UUID.uuid4(),
       body: content,
-      sender: { username: 'Codestral' },
+      sender: { username: 'Bot' },
       time: Date.now(),
       type: 'msg'
     };
@@ -75,12 +96,12 @@ export class CodestralHandler extends ChatModel {
     super.messageAdded(message);
   }
 
-  private _mistralClient: ChatMistralAI;
+  private _provider: BaseChatModel | null;
   private _history: IChatHistory = { messages: [] };
 }
 
-export namespace CodestralHandler {
+export namespace ChatHandler {
   export interface IOptions extends ChatModel.IOptions {
-    mistralClient: ChatMistralAI;
+    provider: BaseChatModel | null;
   }
 }

src/completion-provider.ts

@@ -0,0 +1,61 @@
+import {
+  CompletionHandler,
+  IInlineCompletionContext,
+  IInlineCompletionProvider
+} from '@jupyterlab/completer';
+import { LLM } from '@langchain/core/language_models/llms';
+
+import { getCompleter, IBaseCompleter } from './llm-models';
+
+/**
+ * The generic completion provider to register to the completion provider manager.
+ */
+export class CompletionProvider implements IInlineCompletionProvider {
+  readonly identifier = '@jupyterlite/ai';
+
+  constructor(options: CompletionProvider.IOptions) {
+    this.name = options.name;
+  }
+
+  /**
+   * Getter and setter of the name.
+   * The setter will create the appropriate completer, accordingly to the name.
+   */
+  get name(): string {
+    return this._name;
+  }
+  set name(name: string) {
+    this._name = name;
+    this._completer = getCompleter(name);
+  }
+
+  /**
+   * get the current completer.
+   */
+  get completer(): IBaseCompleter | null {
+    return this._completer;
+  }
+
+  /**
+   * Get the LLM completer.
+   */
+  get llmCompleter(): LLM | null {
+    return this._completer?.provider || null;
+  }
+
+  async fetch(
+    request: CompletionHandler.IRequest,
+    context: IInlineCompletionContext
+  ) {
+    return this._completer?.fetch(request, context);
+  }
+
+  private _name: string = 'None';
+  private _completer: IBaseCompleter | null = null;
+}
+
+export namespace CompletionProvider {
+  export interface IOptions {
+    name: string;
+  }
+}

src/index.ts

@@ -13,55 +13,20 @@ import { ICompletionProviderManager } from '@jupyterlab/completer';
 import { INotebookTracker } from '@jupyterlab/notebook';
 import { IRenderMimeRegistry } from '@jupyterlab/rendermime';
 import { ISettingRegistry } from '@jupyterlab/settingregistry';
-import { ChatMistralAI, MistralAI } from '@langchain/mistralai';
 
-import { CodestralHandler } from './handler';
-import { CodestralProvider } from './provider';
-
-const inlineProviderPlugin: JupyterFrontEndPlugin<void> = {
-  id: 'jupyterlab-codestral:inline-provider',
-  autoStart: true,
-  requires: [ICompletionProviderManager, ISettingRegistry],
-  activate: (
-    app: JupyterFrontEnd,
-    manager: ICompletionProviderManager,
-    settingRegistry: ISettingRegistry
-  ): void => {
-    const mistralClient = new MistralAI({
-      model: 'codestral-latest',
-      apiKey: 'TMP'
-    });
-    const provider = new CodestralProvider({ mistralClient });
-    manager.registerInlineProvider(provider);
-
-    settingRegistry
-      .load(inlineProviderPlugin.id)
-      .then(settings => {
-        const updateKey = () => {
-          const apiKey = settings.get('apiKey').composite as string;
-          mistralClient.apiKey = apiKey;
-        };
-
-        settings.changed.connect(() => updateKey());
-        updateKey();
-      })
-      .catch(reason => {
-        console.error(
-          `Failed to load settings for ${inlineProviderPlugin.id}`,
-          reason
-        );
-      });
-  }
-};
+import { ChatHandler } from './chat-handler';
+import { AIProvider } from './provider';
+import { IAIProvider } from './token';
 
 const chatPlugin: JupyterFrontEndPlugin<void> = {
   id: 'jupyterlab-codestral:chat',
-  description: 'Codestral chat extension',
+  description: 'LLM chat extension',
   autoStart: true,
   optional: [INotebookTracker, ISettingRegistry, IThemeManager],
-  requires: [IRenderMimeRegistry],
+  requires: [IAIProvider, IRenderMimeRegistry],
   activate: async (
     app: JupyterFrontEnd,
+    aiProvider: IAIProvider,
     rmRegistry: IRenderMimeRegistry,
     notebookTracker: INotebookTracker | null,
     settingsRegistry: ISettingRegistry | null,
@@ -75,15 +40,15 @@ const chatPlugin: JupyterFrontEndPlugin<void> = {
       });
     }
 
-    const mistralClient = new ChatMistralAI({
-      model: 'codestral-latest',
-      apiKey: 'TMP'
-    });
-    const chatHandler = new CodestralHandler({
-      mistralClient,
+    const chatHandler = new ChatHandler({
+      provider: aiProvider.chatModel,
       activeCellManager: activeCellManager
     });
 
+    aiProvider.modelChange.connect(() => {
+      chatHandler.provider = aiProvider.chatModel;
+    });
+
     let sendWithShiftEnter = false;
     let enableCodeToolbar = true;
 
@@ -94,25 +59,6 @@ const chatPlugin: JupyterFrontEndPlugin<void> = {
       chatHandler.config = { sendWithShiftEnter, enableCodeToolbar };
     }
 
-    // TODO: handle the apiKey better
-    settingsRegistry
-      ?.load(inlineProviderPlugin.id)
-      .then(settings => {
-        const updateKey = () => {
-          const apiKey = settings.get('apiKey').composite as string;
-          mistralClient.apiKey = apiKey;
-        };
-
-        settings.changed.connect(() => updateKey());
-        updateKey();
-      })
-      .catch(reason => {
-        console.error(
-          `Failed to load settings for ${inlineProviderPlugin.id}`,
-          reason
-        );
-      });
-
     Promise.all([app.restored, settingsRegistry?.load(chatPlugin.id)])
       .then(([, settings]) => {
         if (!settings) {
@@ -148,4 +94,38 @@ const chatPlugin: JupyterFrontEndPlugin<void> = {
   }
 };
 
-export default [inlineProviderPlugin, chatPlugin];
+const aiProviderPlugin: JupyterFrontEndPlugin<IAIProvider> = {
+  id: 'jupyterlab-codestral:ai-provider',
+  autoStart: true,
+  requires: [ICompletionProviderManager, ISettingRegistry],
+  provides: IAIProvider,
+  activate: (
+    app: JupyterFrontEnd,
+    manager: ICompletionProviderManager,
+    settingRegistry: ISettingRegistry
+  ): IAIProvider => {
+    const aiProvider = new AIProvider({ completionProviderManager: manager });
+
+    settingRegistry
+      .load(aiProviderPlugin.id)
+      .then(settings => {
+        const updateProvider = () => {
+          const provider = settings.get('provider').composite as string;
+          aiProvider.setModels(provider, settings.composite);
+        };
+
+        settings.changed.connect(() => updateProvider());
+        updateProvider();
+      })
+      .catch(reason => {
+        console.error(
+          `Failed to load settings for ${aiProviderPlugin.id}`,
+          reason
+        );
+      });
+
+    return aiProvider;
+  }
+};
+
+export default [chatPlugin, aiProviderPlugin];

src/llm-models/base-completer.ts

@@ -0,0 +1,20 @@
+import {
+  CompletionHandler,
+  IInlineCompletionContext
+} from '@jupyterlab/completer';
+import { LLM } from '@langchain/core/language_models/llms';
+
+export interface IBaseCompleter {
+  /**
+   * The LLM completer.
+   */
+  provider: LLM;
+
+  /**
+   * The fetch request for the LLM completer.
+   */
+  fetch(
+    request: CompletionHandler.IRequest,
+    context: IInlineCompletionContext
+  ): Promise<any>;
+}