refactor(ux): consolidate BMAD skills, update design system, and clean up Prisma generated client

keep-notes/lib/ai/providers/deepseek.ts

@@ -1,7 +1,7 @@
 import { createOpenAI } from '@ai-sdk/openai';
-import { generateObject, generateText, embed } from 'ai';
+import { generateObject, generateText as aiGenerateText, embed, stepCountIs } from 'ai';
 import { z } from 'zod';
-import { AIProvider, TagSuggestion, TitleSuggestion } from '../types';
+import { AIProvider, TagSuggestion, TitleSuggestion, ToolUseOptions, ToolCallResult } from '../types';
 
 export class DeepSeekProvider implements AIProvider {
   private model: any;
@@ -14,7 +14,7 @@ export class DeepSeekProvider implements AIProvider {
       apiKey: apiKey,
     });
 
-    this.model = deepseek(modelName);
+    this.model = deepseek.chat(modelName);
     this.embeddingModel = deepseek.embedding(embeddingModelName);
   }
 
@@ -74,7 +74,7 @@ export class DeepSeekProvider implements AIProvider {
 
   async generateText(prompt: string): Promise<string> {
     try {
-      const { text } = await generateText({
+      const { text } = await aiGenerateText({
         model: this.model,
         prompt: prompt,
       });
@@ -85,4 +85,47 @@ export class DeepSeekProvider implements AIProvider {
       throw e;
     }
   }
+
+  async chat(messages: any[], systemPrompt?: string): Promise<any> {
+    try {
+      const { text } = await aiGenerateText({
+        model: this.model,
+        system: systemPrompt,
+        messages: messages,
+      });
+
+      return { text: text.trim() };
+    } catch (e) {
+      console.error('Erreur chat DeepSeek:', e);
+      throw e;
+    }
+  }
+
+  async generateWithTools(options: ToolUseOptions): Promise<ToolCallResult> {
+    const { tools, maxSteps = 10, systemPrompt, messages, prompt } = options
+    const opts: Record<string, any> = {
+      model: this.model,
+      tools,
+      stopWhen: stepCountIs(maxSteps),
+    }
+    if (systemPrompt) opts.system = systemPrompt
+    if (messages) opts.messages = messages
+    else if (prompt) opts.prompt = prompt
+
+    const result = await aiGenerateText(opts as any)
+    return {
+      toolCalls: result.toolCalls?.map((tc: any) => ({ toolName: tc.toolName, input: tc.input })) || [],
+      toolResults: result.toolResults?.map((tr: any) => ({ toolName: tr.toolName, input: tr.input, output: tr.output })) || [],
+      text: result.text,
+      steps: result.steps?.map((step: any) => ({
+        text: step.text,
+        toolCalls: step.toolCalls?.map((tc: any) => ({ toolName: tc.toolName, input: tc.input })) || [],
+        toolResults: step.toolResults?.map((tr: any) => ({ toolName: tr.toolName, input: tr.input, output: tr.output })) || []
+      })) || []
+    }
+  }
+
+  getModel() {
+    return this.model;
+  }
 }