From 93dbe11014cf967690727c25e89d9d1075008c24 Mon Sep 17 00:00:00 2001
From: blackhao <13851610112@163.com>
Date: Sat, 6 Dec 2025 01:30:57 -0600
Subject: UX

---
 backend/app/main.py | 38 ++++++++++++++++++++++++++++++++++++--
 1 file changed, 36 insertions(+), 2 deletions(-)

(limited to 'backend/app/main.py')

diff --git a/backend/app/main.py b/backend/app/main.py
index 48cb89f..65fa3a3 100644
--- a/backend/app/main.py
+++ b/backend/app/main.py
@@ -1,8 +1,9 @@
 from fastapi import FastAPI, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import StreamingResponse
-from app.schemas import NodeRunRequest, NodeRunResponse, MergeStrategy, Role, Message, Context
-from app.services.llm import llm_streamer
+from pydantic import BaseModel
+from app.schemas import NodeRunRequest, NodeRunResponse, MergeStrategy, Role, Message, Context, LLMConfig, ModelProvider, ReasoningEffort
+from app.services.llm import llm_streamer, generate_title
 from dotenv import load_dotenv
 import os
 
@@ -83,3 +84,36 @@ async def run_node_stream(request: NodeRunRequest):
         llm_streamer(execution_context, request.user_prompt, request.config),
         media_type="text/event-stream"
     )
+
+class TitleRequest(BaseModel):
+    user_prompt: str
+    response: str
+
+class TitleResponse(BaseModel):
+    title: str
+
+@app.post("/api/generate_title", response_model=TitleResponse)
+async def generate_title_endpoint(request: TitleRequest):
+    """
+    Generate a short title for a Q-A pair using gpt-5-nano.
+    Returns 3-4 short English words summarizing the topic.
+    """
+    title = await generate_title(request.user_prompt, request.response)
+    return TitleResponse(title=title)
+
+
+class SummarizeRequest(BaseModel):
+    content: str
+    model: str  # Model to use for summarization
+
+class SummarizeResponse(BaseModel):
+    summary: str
+
+@app.post("/api/summarize", response_model=SummarizeResponse)
+async def summarize_endpoint(request: SummarizeRequest):
+    """
+    Summarize the given content using the specified model.
+    """
+    from app.services.llm import summarize_content
+    summary = await summarize_content(request.content, request.model)
+    return SummarizeResponse(summary=summary)
-- 
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