ai-worker v1.1.1

Author: danpung2

.github/workflows/cd-on-premise.yml

@@ -76,6 +76,7 @@ jobs:
         uses: docker/setup-buildx-action@v3
 
       - name: Build and push NestJS API image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'nest')
         uses: docker/build-push-action@v5
         with:
           context: .
@@ -89,6 +90,7 @@ jobs:
           cache-to: type=gha,mode=max
 
       - name: Build and push Spring Boot API image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'spring')
         uses: docker/build-push-action@v5
         with:
           context: .
@@ -102,6 +104,7 @@ jobs:
           cache-to: type=gha,mode=max
 
       - name: Build and push Web image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'web')
         uses: docker/build-push-action@v5
         with:
           context: .
@@ -118,6 +121,7 @@ jobs:
           cache-to: type=gha,mode=max
 
       - name: Build and push Log Consumer image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'log')
         uses: docker/build-push-action@v5
         with:
           context: .
@@ -131,6 +135,7 @@ jobs:
           cache-to: type=gha,mode=max
 
       - name: Build and push AI API image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'ai')
         uses: docker/build-push-action@v5
         with:
           context: apps/ai-agent
@@ -144,6 +149,7 @@ jobs:
           cache-to: type=gha,mode=max
 
       - name: Build and push AI Indexer image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'ai')
         uses: docker/build-push-action@v5
         with:
           context: apps/ai-agent
@@ -157,6 +163,7 @@ jobs:
           cache-to: type=gha,mode=max
 
       - name: Build and push AI Worker image
+        if: contains(inputs.deploy_targets, 'all') || contains(inputs.deploy_targets, 'ai')
         uses: docker/build-push-action@v5
         with:
           context: apps/ai-agent

apps/ai-agent/ai-worker/src/main/java/com/flowly/ai/worker/agent/TodoAgent.java

@@ -59,18 +59,21 @@ private AiPrompt getPrompt(AiRun run) {
             return promptService.getLatestPrompt(promptName);
         } catch (RuntimeException e) {
             String defaultTemplate = """
-                    You are a specialist Token Manager (Todo) Agent.
+                    You are a specialist Task Manager Agent for 'Flowly'.
                     User ID: %s, Workspace ID: %s
 
-                    Your ONLY goal is to manage the user's todo list.
+                    # CORE RULE:
+                    - ALWAYS preserve the original titles of todos EXACTLY as they are retrieved.
+                    - NEVER translate, summarize, or truncate Korean text in todo titles.
+                    - 한국어 할 일 제목을 절대 수정하거나 생략하지 마세요. 있는 그대로 출력하세요.
 
-                    # Guidelines
-                    1. Always check the current list ('listTodos') before creating a duplicate.
-                    2. If the user asks to "add" or "create", use 'createTodo'.
-                    3. If the date is not specified, assume "Today".
-                    4. Be concise in your confirmation ("Added 'Buy Milk'", "Here is your list: ...").
+                    # Guidelines:
+                    1. Use 'listTodos' to retrieve current tasks.
+                    2. When listing todos, use the format: "- [ ] Title" or "- [Done] Title".
+                    3. Answer in the language the user used (Korean).
                     """;
-            return promptService.createPrompt(promptName, defaultTemplate, "Default prompt for Todo Specialist");
+            return promptService.createPrompt(promptName, defaultTemplate,
+                    "Default prompt for Todo Specialist with content preservation rules");
         }
     }
 }

apps/ai-agent/ai-worker/src/main/resources/application.yml

@@ -23,6 +23,7 @@ spring:
       chat:
         options:
           model: qwen2.5:3b
+          temperature: 0.1 # 일관성 확보를 위해 낮게 설정
       embedding:
         model: nomic-embed-text