添加持续对话功能：支持每个功能模块与AI进行多轮对话和互动

Co-authored-by: Cursor <cursoragent@cursor.com>

api/courseware/activity_designer.py

@@ -2,7 +2,7 @@
 """
 Activity & Assignment Designer：课堂活动、作业及评分标准（Rubric）；从上传资料提取核心知识点。
 """
-from typing import Optional
+from typing import Optional, List, Tuple
 
 from api.config import client, DEFAULT_MODEL, USE_WEAVIATE
 from api.courseware.rag import get_rag_context_with_refs, inject_refs_instruction
@@ -15,6 +15,7 @@ def design_activities_and_assignments(
     learning_objectives: Optional[str] = None,
     rag_context_override: Optional[str] = None,
     max_tokens: int = 2200,
+    history: Optional[list] = None,
 ) -> str:
     """
     设计课堂活动、作业及 Rubric；支持从上传资料提取核心知识点并与目标一致。
@@ -30,13 +31,19 @@ def design_activities_and_assignments(
         rag_context=rag_context or "（无检索到知识库摘录，将基于通用教学设计回答。）",
         ref_instruction=ref_instruction,
     )
+    messages = [{"role": "system", "content": ACTIVITY_DESIGNER_SYSTEM}]
+    if history:
+        for user_msg, assistant_msg in history[-10:]:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": user_content})
+    
     try:
         resp = client.chat.completions.create(
             model=DEFAULT_MODEL,
-            messages=[
-                {"role": "system", "content": ACTIVITY_DESIGNER_SYSTEM},
-                {"role": "user", "content": user_content},
-            ],
+            messages=messages,
             temperature=0.5,
             max_tokens=max_tokens,
             timeout=90,

api/courseware/content_generator.py

@@ -2,7 +2,7 @@
 """
 Content Generator：生成 Markdown 详细教案，并导出可用于生成 PPT 的结构化数据。
 """
-from typing import Optional
+from typing import Optional, List, Tuple
 
 from api.config import client, DEFAULT_MODEL
 from api.courseware.rag import get_rag_context_with_refs, inject_refs_instruction
@@ -15,6 +15,7 @@ def generate_lesson_plan_and_ppt_data(
     duration: Optional[str] = None,
     outline_points: Optional[str] = None,
     max_tokens: int = 2800,
+    history: Optional[list] = None,
 ) -> str:
     """
     生成 Markdown 详细教案 + 可用于 PPT 的结构化数据（每页 title、bullets、speaker_notes）。
@@ -29,13 +30,19 @@ def generate_lesson_plan_and_ppt_data(
         rag_context=rag_context or "（无检索到知识库摘录。）",
         ref_instruction=ref_instruction,
     )
+    messages = [{"role": "system", "content": CONTENT_GENERATOR_SYSTEM}]
+    if history:
+        for user_msg, assistant_msg in history[-10:]:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": user_content})
+    
     try:
         resp = client.chat.completions.create(
             model=DEFAULT_MODEL,
-            messages=[
-                {"role": "system", "content": CONTENT_GENERATOR_SYSTEM},
-                {"role": "user", "content": user_content},
-            ],
+            messages=messages,
             temperature=0.4,
             max_tokens=max_tokens,
             timeout=120,

api/courseware/qa_optimizer.py

@@ -2,7 +2,7 @@
 """
 Course QA Optimizer：基于学生答题数据（Smart Quiz）分析弱点，自动优化后续教学建议。
 """
-from typing import Optional
+from typing import Optional, List, Tuple
 
 from api.config import client, DEFAULT_MODEL
 from api.courseware.rag import get_rag_context_with_refs, inject_refs_instruction
@@ -14,6 +14,7 @@ def optimize_from_quiz_data(
     quiz_summary: str,
     course_topic: Optional[str] = None,
     max_tokens: int = 1500,
+    history: Optional[list] = None,
 ) -> str:
     """
     基于 Smart Quiz 答题数据摘要，分析薄弱点并给出后续教学优化建议。
@@ -27,13 +28,19 @@ def optimize_from_quiz_data(
         rag_context=rag_context or "（无检索到知识库摘录。）",
         ref_instruction=ref_instruction,
     )
+    messages = [{"role": "system", "content": QA_OPTIMIZER_SYSTEM}]
+    if history:
+        for user_msg, assistant_msg in history[-10:]:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": user_content})
+    
     try:
         resp = client.chat.completions.create(
             model=DEFAULT_MODEL,
-            messages=[
-                {"role": "system", "content": QA_OPTIMIZER_SYSTEM},
-                {"role": "user", "content": user_content},
-            ],
+            messages=messages,
             temperature=0.4,
             max_tokens=max_tokens,
             timeout=90,

api/courseware/teaching_copilot.py

@@ -2,7 +2,7 @@
 """
 Teaching Copilot & Student Adaptation：课堂实时辅助，按学生画像（Name, Progress, Behavior）动态调整建议。
 """
-from typing import Optional, List, Dict, Any
+from typing import Optional, List, Dict, Any, Tuple
 
 from api.config import client, DEFAULT_MODEL
 from api.courseware.rag import get_rag_context_with_refs, inject_refs_instruction
@@ -27,6 +27,7 @@ def teaching_copilot(
     current_content: str,
     student_profiles: Optional[List[Dict[str, Any]]] = None,
     max_tokens: int = 1200,
+    history: Optional[list] = None,
 ) -> str:
     """
     课堂实时辅助：根据当前授课内容与学生画像给出即时建议与个性化调整。
@@ -41,13 +42,19 @@ def teaching_copilot(
         rag_context=rag_context or "（无检索到知识库摘录。）",
         ref_instruction=ref_instruction,
     )
+    messages = [{"role": "system", "content": TEACHING_COPILOT_SYSTEM}]
+    if history:
+        for user_msg, assistant_msg in history[-10:]:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": user_content})
+    
     try:
         resp = client.chat.completions.create(
             model=DEFAULT_MODEL,
-            messages=[
-                {"role": "system", "content": TEACHING_COPILOT_SYSTEM},
-                {"role": "user", "content": user_content},
-            ],
+            messages=messages,
             temperature=0.5,
             max_tokens=max_tokens,
             timeout=60,

api/courseware/vision_builder.py

@@ -2,7 +2,7 @@
 """
 Course Vision & Structure Builder：课程定位、学习目标、层级化知识树。
 """
-from typing import Optional
+from typing import Optional, List, Tuple
 
 from api.config import client, DEFAULT_MODEL, USE_WEAVIATE
 from api.courseware.rag import get_rag_context_with_refs, inject_refs_instruction
@@ -14,6 +14,7 @@ def build_course_vision(
     course_info: str,
     syllabus: str,
     max_tokens: int = 2000,
+    history: Optional[list] = None,
 ) -> str:
     """
     输入：课程基本信息 + 教学大纲。
@@ -28,13 +29,19 @@ def build_course_vision(
         rag_context=rag_context or "（无检索到知识库摘录，将基于通用课程设计经验回答。）",
         ref_instruction=ref_instruction,
     )
+    messages = [{"role": "system", "content": COURSE_VISION_SYSTEM}]
+    if history:
+        for user_msg, assistant_msg in history[-10:]:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": user_content})
+    
     try:
         resp = client.chat.completions.create(
             model=DEFAULT_MODEL,
-            messages=[
-                {"role": "system", "content": COURSE_VISION_SYSTEM},
-                {"role": "user", "content": user_content},
-            ],
+            messages=messages,
             temperature=0.4,
             max_tokens=max_tokens,
             timeout=90,

api/routes_courseware.py

@@ -21,6 +21,7 @@ router = APIRouter(prefix="/api/courseware", tags=["courseware"])
 class VisionRequest(BaseModel):
     course_info: str = Field(..., min_length=1, description="课程基本信息")
     syllabus: str = Field(..., min_length=1, description="教学大纲或要点")
+    history: Optional[list] = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class VisionResponse(BaseModel):
@@ -36,6 +37,7 @@ def post_vision(req: VisionRequest):
         content = build_course_vision(
             course_info=req.course_info.strip(),
             syllabus=req.syllabus.strip(),
+            history=req.history,
         )
         return VisionResponse(content=content, weaviate_used=USE_WEAVIATE)
     except Exception as e:
@@ -47,6 +49,7 @@ class ActivitiesRequest(BaseModel):
     topic: str = Field(..., min_length=1, description="主题/模块")
     learning_objectives: Optional[str] = Field(None, description="学习目标（可选）")
     rag_context_override: Optional[str] = Field(None, description="覆盖 RAG 上下文（如上传资料摘要）")
+    history: Optional[list] = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class ActivitiesResponse(BaseModel):
@@ -63,6 +66,7 @@ def post_activities(req: ActivitiesRequest):
             topic=req.topic.strip(),
             learning_objectives=req.learning_objectives.strip() if req.learning_objectives else None,
             rag_context_override=req.rag_context_override.strip() if req.rag_context_override else None,
+            history=req.history,
         )
         return ActivitiesResponse(content=content, weaviate_used=USE_WEAVIATE)
     except Exception as e:
@@ -79,6 +83,7 @@ class StudentProfile(BaseModel):
 class CopilotRequest(BaseModel):
     current_content: str = Field(..., min_length=1, description="当前授课内容/问题")
     student_profiles: Optional[List[StudentProfile]] = Field(None, description="学生画像 Name, Progress, Behavior")
+    history: Optional[list] = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class CopilotResponse(BaseModel):
@@ -95,6 +100,7 @@ def post_copilot(req: CopilotRequest):
         content = teaching_copilot(
             current_content=req.current_content.strip(),
             student_profiles=profiles,
+            history=req.history,
         )
         return CopilotResponse(content=content, weaviate_used=USE_WEAVIATE)
     except Exception as e:
@@ -105,6 +111,7 @@ def post_copilot(req: CopilotRequest):
 class QAOptimizeRequest(BaseModel):
     quiz_summary: str = Field(..., min_length=1, description="学生答题数据摘要（Smart Quiz）")
     course_topic: Optional[str] = Field(None, description="相关课程主题/章节")
+    history: Optional[list] = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class QAOptimizeResponse(BaseModel):
@@ -120,6 +127,7 @@ def post_qa_optimize(req: QAOptimizeRequest):
         content = optimize_from_quiz_data(
             quiz_summary=req.quiz_summary.strip(),
             course_topic=req.course_topic.strip() if req.course_topic else None,
+            history=req.history,
         )
         return QAOptimizeResponse(content=content, weaviate_used=USE_WEAVIATE)
     except Exception as e:
@@ -131,6 +139,7 @@ class ContentRequest(BaseModel):
     topic: str = Field(..., min_length=1, description="主题/章节")
     duration: Optional[str] = Field(None, description="课时/时长建议")
     outline_points: Optional[str] = Field(None, description="大纲要点")
+    history: Optional[list] = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class ContentResponse(BaseModel):
@@ -147,6 +156,7 @@ def post_content(req: ContentRequest):
             topic=req.topic.strip(),
             duration=req.duration.strip() if req.duration else None,
             outline_points=req.outline_points.strip() if req.outline_points else None,
+            history=req.history,
         )
         return ContentResponse(content=content, weaviate_used=USE_WEAVIATE)
     except Exception as e:

api/routes_teacher.py

@@ -18,6 +18,8 @@ class CourseDescriptionRequest(BaseModel):
     topic: str = Field(..., min_length=1, description="课程主题/名称")
     outline_hint: str | None = Field(None, description="可选：大纲或要点")
     reply_language: str | None = Field(None, description="回复语言：zh=中文, en=English")
+    history: list | None = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
+    userMessage: str | None = Field(None, description="持续对话时的用户消息（可选）")
 
 
 class CourseDescriptionResponse(BaseModel):
@@ -34,6 +36,8 @@ def post_course_description(req: CourseDescriptionRequest):
             topic=req.topic.strip(),
             outline_hint=req.outline_hint.strip() if req.outline_hint else None,
             reply_language=req.reply_language.strip() if req.reply_language else None,
+            history=req.history,
+            user_message=req.userMessage.strip() if req.userMessage else None,
         )
         return CourseDescriptionResponse(
             description=desc,
@@ -48,6 +52,7 @@ class DocSuggestionRequest(BaseModel):
     current_doc_excerpt: str | None = Field(None, description="当前已有内容片段")
     doc_type: str = Field("讲义/课件", description="文档类型")
     reply_language: str | None = Field(None, description="回复语言：zh=中文, en=English")
+    history: list | None = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class DocSuggestionResponse(BaseModel):
@@ -65,6 +70,7 @@ def post_doc_suggestion(req: DocSuggestionRequest):
             current_doc_excerpt=req.current_doc_excerpt.strip() if req.current_doc_excerpt else None,
             doc_type=req.doc_type.strip() or "讲义/课件",
             reply_language=req.reply_language.strip() if req.reply_language else None,
+            history=req.history,
         )
         return DocSuggestionResponse(
             suggestion=suggestion,
@@ -79,6 +85,7 @@ class AssignmentQuestionsRequest(BaseModel):
     week_or_module: str | None = Field(None, description="周次/模块")
     question_type: str = Field("混合", description="题型：选择题、简答题、开放题、混合")
     reply_language: str | None = Field(None, description="回复语言：zh=中文, en=English")
+    history: list | None = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class AssignmentQuestionsResponse(BaseModel):
@@ -96,6 +103,7 @@ def post_assignment_questions(req: AssignmentQuestionsRequest):
             week_or_module=req.week_or_module.strip() if req.week_or_module else None,
             question_type=req.question_type.strip() or "混合",
             reply_language=req.reply_language.strip() if req.reply_language else None,
+            history=req.history,
         )
         return AssignmentQuestionsResponse(
             suggestion=suggestion,
@@ -109,6 +117,7 @@ class AssessmentAnalysisRequest(BaseModel):
     assessment_summary: str = Field(..., min_length=1, description="学生表现/评估摘要")
     course_topic_hint: str | None = Field(None, description="可选：相关课程主题")
     reply_language: str | None = Field(None, description="回复语言：zh=中文, en=English")
+    history: list | None = Field(None, description="对话历史：[(user_msg, assistant_msg), ...]")
 
 
 class AssessmentAnalysisResponse(BaseModel):
@@ -125,6 +134,7 @@ def post_assessment_analysis(req: AssessmentAnalysisRequest):
             assessment_summary=req.assessment_summary.strip(),
             course_topic_hint=req.course_topic_hint.strip() if req.course_topic_hint else None,
             reply_language=req.reply_language.strip() if req.reply_language else None,
+            history=req.history,
         )
         return AssessmentAnalysisResponse(
             analysis=analysis,

api/teacher_agent.py

@@ -24,20 +24,39 @@ def _lang_instruction(reply_language: Optional[str]) -> str:
     return ""
 
 
-def _call_llm(user_content: str, system_extra: str = "", reply_language: Optional[str] = None, max_tokens: int = 1500) -> str:
+def _call_llm(
+    user_content: str,
+    system_extra: str = "",
+    reply_language: Optional[str] = None,
+    max_tokens: int = 1500,
+    history: Optional[list] = None,
+) -> str:
+    """
+    history: List of tuples [(user_msg, assistant_msg), ...] for conversation context
+    """
     system = TEACHER_SYSTEM
     lang = _lang_instruction(reply_language)
     if lang:
         system = system + "\n\n" + lang
     if system_extra:
         system = system + "\n\n" + system_extra
+    
+    messages = [{"role": "system", "content": system}]
+    
+    # Add conversation history if provided
+    if history:
+        for user_msg, assistant_msg in history[-10:]:  # Keep last 10 turns
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
+    
+    messages.append({"role": "user", "content": user_content})
+    
     try:
         resp = client.chat.completions.create(
             model=DEFAULT_MODEL,
-            messages=[
-                {"role": "system", "content": system},
-                {"role": "user", "content": user_content},
-            ],
+            messages=messages,
             temperature=0.6,
             max_tokens=max_tokens,
             timeout=60,
@@ -52,20 +71,32 @@ def generate_course_description(
     topic: str,
     outline_hint: Optional[str] = None,
     reply_language: Optional[str] = None,
+    history: Optional[list] = None,
+    user_message: Optional[str] = None,
 ) -> str:
     """
     课程描述生成：根据课程主题（及可选大纲要点）生成一段可用于课程介绍/选课页的描述。
     reply_language: "en" | "zh" | None（默认中文）
+    user_message: 持续对话时的用户消息（可选）
     """
     rag = retrieve_from_weaviate(topic, top_k=6) if USE_WEAVIATE else ""
-    user = f"请根据以下信息，生成一段简洁的**课程描述**（约 150–250 字），适合放在课程介绍或选课页面。\n\n"
-    user += f"**课程主题/名称：** {topic}\n\n"
-    if outline_hint:
-        user += f"**大纲或要点（可选）：**\n{outline_hint}\n\n"
-    if rag:
-        user += "**参考知识库摘录（请据此保持与现有课程内容一致）：**\n" + rag[:4000] + "\n\n"
-    user += "请直接输出课程描述正文，无需重复题目。"
-    return _call_llm(user, reply_language=reply_language, max_tokens=800)
+    
+    if user_message:
+        # 持续对话模式：直接使用用户消息
+        user = user_message
+        if rag:
+            user = f"**参考知识库摘录：**\n{rag[:4000]}\n\n---\n\n{user}"
+    else:
+        # 初始提交模式：使用表单字段
+        user = f"请根据以下信息，生成一段简洁的**课程描述**（约 150–250 字），适合放在课程介绍或选课页面。\n\n"
+        user += f"**课程主题/名称：** {topic}\n\n"
+        if outline_hint:
+            user += f"**大纲或要点（可选）：**\n{outline_hint}\n\n"
+        if rag:
+            user += "**参考知识库摘录（请据此保持与现有课程内容一致）：**\n" + rag[:4000] + "\n\n"
+        user += "请直接输出课程描述正文，无需重复题目。"
+    
+    return _call_llm(user, reply_language=reply_language, max_tokens=800, history=history)
 
 
 def suggest_course_doc_content(
@@ -73,6 +104,7 @@ def suggest_course_doc_content(
     current_doc_excerpt: Optional[str] = None,
     doc_type: str = "讲义/课件",
     reply_language: Optional[str] = None,
+    history: Optional[list] = None,
 ) -> str:
     """
     课程文档内容建议：针对某一主题或现有文档片段，给出可写入讲义/课件的内容建议。
@@ -85,7 +117,7 @@ def suggest_course_doc_content(
     if rag:
         user += "**参考知识库摘录：**\n" + rag[:5000] + "\n\n"
     user += "请用分点或短段落给出建议，便于教师直接采纳或改写。"
-    return _call_llm(user, reply_language=reply_language, max_tokens=1200)
+    return _call_llm(user, reply_language=reply_language, max_tokens=1200, history=history)
 
 
 def suggest_assignments_questions(
@@ -93,6 +125,7 @@ def suggest_assignments_questions(
     week_or_module: Optional[str] = None,
     question_type: str = "混合",
     reply_language: Optional[str] = None,
+    history: Optional[list] = None,
 ) -> str:
     """
     作业和题库生成建议：根据主题（及可选周次/模块）给出作业题、练习题或考试题建议。
@@ -107,13 +140,14 @@ def suggest_assignments_questions(
     if rag:
         user += "**参考知识库摘录：**\n" + rag[:5000] + "\n\n"
     user += "请直接给出建议与示例题，便于教师录入题库或布置作业。"
-    return _call_llm(user, reply_language=reply_language, max_tokens=1500)
+    return _call_llm(user, reply_language=reply_language, max_tokens=1500, history=history)
 
 
 def analyze_student_assessment(
     assessment_summary: str,
     course_topic_hint: Optional[str] = None,
     reply_language: Optional[str] = None,
+    history: Optional[list] = None,
 ) -> str:
     """
     学生学习评估分析：根据教师提供的学生表现摘要（如作业/测验得分、常见错误、参与度等），
@@ -129,4 +163,4 @@ def analyze_student_assessment(
     if rag:
         user += "**参考知识库摘录（可选，用于对齐课程目标）：**\n" + rag[:3000] + "\n\n"
     user += "控制在 300–500 字。"
-    return _call_llm(user, reply_language=reply_language, max_tokens=800)
+    return _call_llm(user, reply_language=reply_language, max_tokens=800, history=history)

web/src/components/TeacherChatPage.tsx

@@ -34,7 +34,7 @@ interface TeacherChatPageProps {
   onBack: () => void;
   userId: string;
   replyLanguage?: "zh" | "en" | "auto";
-  onSubmit: (inputs: Record<string, string>, files: File[]) => Promise<string>;
+  onSubmit: (inputs: Record<string, string>, files: File[], history?: Array<[string, string]>) => Promise<string>;
 }
 
 const DOC_TYPE_MAP: Record<FileType, string> = {
@@ -60,8 +60,11 @@ export function TeacherChatPage({
   const [pendingFiles, setPendingFiles] = useState<File[]>([]);
   const [isSubmitting, setIsSubmitting] = useState(false);
   const [showFileTypeDialog, setShowFileTypeDialog] = useState(false);
+  const [chatInput, setChatInput] = useState("");
+  const [isInitialSubmit, setIsInitialSubmit] = useState(true);
   const fileInputRef = useRef<HTMLInputElement>(null);
   const messagesEndRef = useRef<HTMLDivElement>(null);
+  const chatInputRef = useRef<HTMLTextAreaElement>(null);
 
   useEffect(() => {
     messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
@@ -119,45 +122,75 @@ export function TeacherChatPage({
   const handleSubmit = async () => {
     if (isSubmitting) return;
 
-    // Validate required inputs
-    const requiredFields: Record<FeatureId, string[]> = {
-      "course-description": ["topic"],
-      "doc-suggestion": ["topic"],
-      "assignment-questions": ["topic"],
-      "assessment-analysis": ["summary"],
-      vision: ["courseInfo", "syllabus"],
-      activities: ["topic"],
-      copilot: ["content"],
-      "qa-optimize": ["summary"],
-      content: ["topic"],
-    };
+    // Validate required inputs for initial submit
+    if (isInitialSubmit) {
+      const requiredFields: Record<FeatureId, string[]> = {
+        "course-description": ["topic"],
+        "doc-suggestion": ["topic"],
+        "assignment-questions": ["topic"],
+        "assessment-analysis": ["summary"],
+        vision: ["courseInfo", "syllabus"],
+        activities: ["topic"],
+        copilot: ["content"],
+        "qa-optimize": ["summary"],
+        content: ["topic"],
+      };
 
-    const required = requiredFields[featureId] || [];
-    const missing = required.filter((field) => !inputValues[field]?.trim());
+      const required = requiredFields[featureId] || [];
+      const missing = required.filter((field) => !inputValues[field]?.trim());
 
-    if (missing.length > 0) {
-      toast.error(`Please fill in required fields: ${missing.join(", ")}`);
-      return;
+      if (missing.length > 0) {
+        toast.error(`Please fill in required fields: ${missing.join(", ")}`);
+        return;
+      }
     }
 
     setIsSubmitting(true);
 
+    // Build user message content
+    let userContent: string;
+    if (isInitialSubmit) {
+      // Initial submit: use form inputs
+      userContent = Object.entries(inputValues)
+        .filter(([_, v]) => v?.trim())
+        .map(([k, v]) => `${k}: ${v}`)
+        .join("\n");
+    } else {
+      // Continuous chat: use chat input
+      if (!chatInput.trim()) {
+        setIsSubmitting(false);
+        return;
+      }
+      userContent = chatInput.trim();
+    }
+
     // Add user message
     const userMessage: Message = {
       id: Date.now().toString(),
       role: "user",
-      content: Object.entries(inputValues)
-        .filter(([_, v]) => v?.trim())
-        .map(([k, v]) => `${k}: ${v}`)
-        .join("\n"),
+      content: userContent,
       timestamp: new Date(),
-      files: uploadedFiles.map((uf) => ({ name: uf.file.name, type: uf.file.type })),
+      files: isInitialSubmit ? uploadedFiles.map((uf) => ({ name: uf.file.name, type: uf.file.type })) : undefined,
     };
 
     setMessages((prev) => [...prev, userMessage]);
 
+    // Build conversation history (excluding the current message we're about to add)
+    const history: Array<[string, string]> = [];
+    for (let i = 0; i < messages.length; i++) {
+      if (messages[i].role === "user" && i + 1 < messages.length && messages[i + 1].role === "assistant") {
+        history.push([messages[i].content, messages[i + 1].content]);
+      }
+    }
+
     try {
-      const result = await onSubmit(inputValues, uploadedFiles.map((uf) => uf.file));
+      // For continuous chat, use chat input as the main message
+      // but keep form inputs for context
+      const inputsForApi = isInitialSubmit
+        ? inputValues
+        : { ...inputValues, userMessage: chatInput.trim() };
+
+      const result = await onSubmit(inputsForApi, uploadedFiles.map((uf) => uf.file), history);
 
       // Add assistant message
       const assistantMessage: Message = {
@@ -168,6 +201,8 @@ export function TeacherChatPage({
       };
 
       setMessages((prev) => [...prev, assistantMessage]);
+      setIsInitialSubmit(false);
+      setChatInput("");
     } catch (e: any) {
       toast.error(e?.message || "Generation failed");
     } finally {
@@ -175,6 +210,11 @@ export function TeacherChatPage({
     }
   };
 
+  const handleChatSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    await handleSubmit();
+  };
+
   const getInputFields = () => {
     switch (featureId) {
       case "course-description":
@@ -510,58 +550,89 @@ export function TeacherChatPage({
         </div>
 
         {/* Right Panel: Chat Messages */}
-        <div className="flex-1 overflow-auto p-4">
-          {messages.length === 0 ? (
-            <div className="h-full flex items-center justify-center text-muted-foreground">
-              <div className="text-center">
-                <p className="text-lg mb-2">Start a conversation</p>
-                <p className="text-sm">Fill in the form and click Generate to begin</p>
+        <div className="flex-1 flex flex-col overflow-hidden">
+          <div className="flex-1 overflow-auto p-4">
+            {messages.length === 0 ? (
+              <div className="h-full flex items-center justify-center text-muted-foreground">
+                <div className="text-center">
+                  <p className="text-lg mb-2">Start a conversation</p>
+                  <p className="text-sm">Fill in the form and click Generate to begin</p>
+                </div>
               </div>
-            </div>
-          ) : (
-            <div className="space-y-4 max-w-3xl mx-auto">
-              {messages.map((msg) => (
-                <div
-                  key={msg.id}
-                  className={`flex gap-3 ${msg.role === "user" ? "justify-end" : "justify-start"}`}
-                >
-                  {msg.role === "assistant" && (
-                    <div className="w-8 h-8 rounded-full bg-primary/10 flex items-center justify-center flex-shrink-0">
-                      <FileText className="h-4 w-4 text-primary" />
-                    </div>
-                  )}
+            ) : (
+              <div className="space-y-4 max-w-3xl mx-auto">
+                {messages.map((msg) => (
                   <div
-                    className={`rounded-lg p-4 max-w-[80%] ${
-                      msg.role === "user"
-                        ? "bg-primary text-primary-foreground"
-                        : "bg-muted text-foreground"
-                    }`}
+                    key={msg.id}
+                    className={`flex gap-3 ${msg.role === "user" ? "justify-end" : "justify-start"}`}
                   >
-                    {msg.files && msg.files.length > 0 && (
-                      <div className="mb-2 pb-2 border-b border-border/50">
-                        <p className="text-xs opacity-80 mb-1">Attached files:</p>
-                        <div className="flex flex-wrap gap-1">
-                          {msg.files.map((f, idx) => (
-                            <span key={idx} className="text-xs bg-background/20 px-2 py-0.5 rounded">
-                              {f.name}
-                            </span>
-                          ))}
+                    {msg.role === "assistant" && (
+                      <div className="w-8 h-8 rounded-full bg-primary/10 flex items-center justify-center flex-shrink-0">
+                        <FileText className="h-4 w-4 text-primary" />
+                      </div>
+                    )}
+                    <div
+                      className={`rounded-lg p-4 max-w-[80%] ${
+                        msg.role === "user"
+                          ? "bg-primary text-primary-foreground"
+                          : "bg-muted text-foreground"
+                      }`}
+                    >
+                      {msg.files && msg.files.length > 0 && (
+                        <div className="mb-2 pb-2 border-b border-border/50">
+                          <p className="text-xs opacity-80 mb-1">Attached files:</p>
+                          <div className="flex flex-wrap gap-1">
+                            {msg.files.map((f, idx) => (
+                              <span key={idx} className="text-xs bg-background/20 px-2 py-0.5 rounded">
+                                {f.name}
+                              </span>
+                            ))}
+                          </div>
                         </div>
+                      )}
+                      <p className="whitespace-pre-wrap">{msg.content}</p>
+                      <p className="text-xs opacity-70 mt-2">
+                        {msg.timestamp.toLocaleTimeString()}
+                      </p>
+                    </div>
+                    {msg.role === "user" && (
+                      <div className="w-8 h-8 rounded-full bg-primary flex items-center justify-center flex-shrink-0">
+                        <span className="text-xs text-primary-foreground">U</span>
                       </div>
                     )}
-                    <p className="whitespace-pre-wrap">{msg.content}</p>
-                    <p className="text-xs opacity-70 mt-2">
-                      {msg.timestamp.toLocaleTimeString()}
-                    </p>
                   </div>
-                  {msg.role === "user" && (
-                    <div className="w-8 h-8 rounded-full bg-primary flex items-center justify-center flex-shrink-0">
-                      <span className="text-xs text-primary-foreground">U</span>
-                    </div>
+                ))}
+                <div ref={messagesEndRef} />
+              </div>
+            )}
+          </div>
+
+          {/* Chat Input */}
+          {messages.length > 0 && (
+            <div className="flex-shrink-0 border-t border-border p-4">
+              <form onSubmit={handleChatSubmit} className="flex gap-2 max-w-3xl mx-auto">
+                <Textarea
+                  ref={chatInputRef}
+                  value={chatInput}
+                  onChange={(e) => setChatInput(e.target.value)}
+                  placeholder="Continue the conversation..."
+                  className="flex-1 min-h-[60px] max-h-[200px] resize-none"
+                  disabled={isSubmitting}
+                  onKeyDown={(e) => {
+                    if (e.key === "Enter" && !e.shiftKey) {
+                      e.preventDefault();
+                      handleChatSubmit(e);
+                    }
+                  }}
+                />
+                <Button type="submit" disabled={isSubmitting || !chatInput.trim()} size="lg">
+                  {isSubmitting ? (
+                    <Loader2 className="h-4 w-4 animate-spin" />
+                  ) : (
+                    <Send className="h-4 w-4" />
                   )}
-                </div>
-              ))}
-              <div ref={messagesEndRef} />
+                </Button>
+              </form>
             </div>
           )}
         </div>

web/src/components/TeacherDashboard.tsx

@@ -128,13 +128,20 @@ export function TeacherDashboard({ user, onBack }: Props) {
 
   // Handler functions for chat page
   const getSubmitHandler = (featureId: FeatureId) => {
-    return async (inputs: Record<string, string>, files: File[]): Promise<string> => {
+    return async (
+      inputs: Record<string, string>,
+      files: File[],
+      history?: Array<[string, string]>
+    ): Promise<string> => {
+      const historyParam = history && history.length > 0 ? history : null;
       switch (featureId) {
         case "course-description": {
           const res = await apiTeacherCourseDescription({
             topic: inputs.topic || "",
             outline_hint: inputs.outline || undefined,
             reply_language: replyLangParam,
+            history: historyParam,
+            userMessage: inputs.userMessage || undefined,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.description;
@@ -145,6 +152,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
             current_doc_excerpt: inputs.excerpt || undefined,
             doc_type: inputs.docType || "Lecture Notes / Slides",
             reply_language: replyLangParam,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.suggestion;
@@ -155,6 +163,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
             week_or_module: inputs.week || undefined,
             question_type: inputs.questionType || "Mixed",
             reply_language: replyLangParam,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.suggestion;
@@ -164,6 +173,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
             assessment_summary: inputs.summary || "",
             course_topic_hint: inputs.topic || undefined,
             reply_language: replyLangParam,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.analysis;
@@ -172,6 +182,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
           const res = await apiCoursewareVision({
             course_info: inputs.courseInfo || "",
             syllabus: inputs.syllabus || "",
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.content;
@@ -180,6 +191,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
           const res = await apiCoursewareActivities({
             topic: inputs.topic || "",
             learning_objectives: inputs.objectives || undefined,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.content;
@@ -197,6 +209,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
           const res = await apiCoursewareCopilot({
             current_content: inputs.content || "",
             student_profiles: profiles,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.content;
@@ -205,6 +218,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
           const res = await apiCoursewareQAOptimize({
             quiz_summary: inputs.summary || "",
             course_topic: inputs.topic || undefined,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.content;
@@ -214,6 +228,7 @@ export function TeacherDashboard({ user, onBack }: Props) {
             topic: inputs.topic || "",
             duration: inputs.duration || undefined,
             outline_points: inputs.outline || undefined,
+            history: historyParam,
           });
           if (res.weaviate_used) toast.success(getText(uiLanguage, "knowledgeBaseUsed"));
           return res.content;

web/src/lib/api.ts

@@ -415,6 +415,8 @@ export async function apiTeacherCourseDescription(payload: {
   topic: string;
   outline_hint?: string | null;
   reply_language?: string | null;
+  history?: Array<[string, string]> | null;
+  userMessage?: string | null;
 }): Promise<{ description: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -436,6 +438,7 @@ export async function apiTeacherDocSuggestion(payload: {
   current_doc_excerpt?: string | null;
   doc_type?: string;
   reply_language?: string | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ suggestion: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -457,6 +460,7 @@ export async function apiTeacherAssignmentQuestions(payload: {
   week_or_module?: string | null;
   question_type?: string;
   reply_language?: string | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ suggestion: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -477,6 +481,7 @@ export async function apiTeacherAssessmentAnalysis(payload: {
   assessment_summary: string;
   course_topic_hint?: string | null;
   reply_language?: string | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ analysis: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -497,6 +502,7 @@ export async function apiTeacherAssessmentAnalysis(payload: {
 export async function apiCoursewareVision(payload: {
   course_info: string;
   syllabus: string;
+  history?: Array<[string, string]> | null;
 }): Promise<{ content: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -513,6 +519,7 @@ export async function apiCoursewareActivities(payload: {
   topic: string;
   learning_objectives?: string | null;
   rag_context_override?: string | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ content: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -528,6 +535,7 @@ export async function apiCoursewareActivities(payload: {
 export async function apiCoursewareCopilot(payload: {
   current_content: string;
   student_profiles?: Array<{ name?: string; progress?: string; behavior?: string }> | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ content: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -543,6 +551,7 @@ export async function apiCoursewareCopilot(payload: {
 export async function apiCoursewareQAOptimize(payload: {
   quiz_summary: string;
   course_topic?: string | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ content: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(
@@ -559,6 +568,7 @@ export async function apiCoursewareContent(payload: {
   topic: string;
   duration?: string | null;
   outline_points?: string | null;
+  history?: Array<[string, string]> | null;
 }): Promise<{ content: string; weaviate_used: boolean }> {
   const base = getBaseUrl();
   const res = await fetchWithTimeout(