feat: v2.12.0 - UI/UX Refinement (Model Sync & Premium Tooltips)

src/agents/factory.ts

@@ -0,0 +1,55 @@
+import * as vscode from 'vscode';
+import { getConfig } from '../config';
+
+export abstract class BaseAgent {
+    constructor(protected readonly modelName: string) {}
+
+    protected async callLLM(persona: string, prompt: string): Promise<string> {
+        const { ollamaUrl } = getConfig();
+        const messages = [
+            { role: 'system', content: persona },
+            { role: 'user', content: prompt }
+        ];
+
+        // API 호출 로직 (Streaming 생략하고 결과만 반환하는 헬퍼)
+        const response = await fetch(`${ollamaUrl}/api/chat`, {
+            method: 'POST',
+            body: JSON.stringify({
+                model: this.modelName,
+                messages,
+                stream: false,
+                options: { temperature: 0.3 }
+            })
+        });
+
+        if (!response.ok) {
+            throw new Error(`Agent API Error: ${response.statusText}`);
+        }
+
+        const data = await response.json() as any;
+        return data.message?.content || data.choices?.[0]?.message?.content || '';
+    }
+
+    abstract execute(input: string, context?: string): Promise<string>;
+}
+
+export class PlannerAgent extends BaseAgent {
+    private readonly persona = `You are the [Planner Agent]. Analyze the request and output a structured <plan>.`;
+    async execute(input: string, brainContext?: string): Promise<string> {
+        return this.callLLM(this.persona, `Request: ${input}\nContext: ${brainContext}`);
+    }
+}
+
+export class ResearcherAgent extends BaseAgent {
+    private readonly persona = `You are the [Researcher Agent]. Gather facts based on the plan.`;
+    async execute(input: string, brainContext?: string): Promise<string> {
+        return this.callLLM(this.persona, `Plan: ${input}\nContext: ${brainContext}`);
+    }
+}
+
+export class WriterAgent extends BaseAgent {
+    private readonly persona = `You are the [Writer Agent]. Synthesize research into a final report.`;
+    async execute(input: string, originalRequest?: string): Promise<string> {
+        return this.callLLM(this.persona, `Data: ${input}\nOriginal Request: ${originalRequest}`);
+    }
+}