diff --git a/requirements.txt b/requirements.txt
index d758b96a..123aeea5 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -19,31 +19,6 @@ rapidocr_onnxruntime~=1.3.8
 requests~=2.31.0
 pathlib~=1.0.1
 pytest~=7.4.3
-llama-index==0.9.35
-
-# jq==1.6.0
-# beautifulsoup4==4.12.2
-# pysrt==1.1.2
-# dashscope==1.13.6 # qwen
-# volcengine==1.0.119 # fangzhou
-# uncomment libs if you want to use corresponding vector store
-# pymilvus==2.3.6
-# psycopg2==2.9.9
-# pgvector>=0.2.4
-# chromadb==0.4.13
-
-#flash-attn==2.4.2 # For Orion-14B-Chat and Qwen-14B-Chat
-#autoawq==0.1.8 # For Int4
-#rapidocr_paddle[gpu]==1.3.11 # gpu accelleration for ocr of pdf and image files
-
-arxiv==2.1.0
-youtube-search==2.1.2
-duckduckgo-search==3.9.9
-metaphor-python==0.1.23
-
-httpx==0.26.0
-httpx_sse==0.4.0
-watchdog==3.0.0
 pyjwt==2.8.0
 elasticsearch
 numexpr>=2.8.8
@@ -53,7 +28,7 @@ tqdm>=4.66.1
 websockets>=12.0
 numpy>=1.26.3
 pandas~=2.1.4
-pydantic<2
+pydantic==1.10.14
 httpx[brotli,http2,socks]>=0.25.2
 
 # optional document loaders
diff --git a/server/api_server/openai_routes.py b/server/api_server/openai_routes.py
index ecc9f03b..beb619b6 100644
--- a/server/api_server/openai_routes.py
+++ b/server/api_server/openai_routes.py
@@ -74,7 +74,7 @@ async def list_models() -> Dict:
         try:
             client = get_OpenAIClient(name, is_async=True)
             models = await client.models.list()
-            models = models.dict(exclude=["data", "object"])
+            models = models.dict(exclude={"data":..., "object":...})
             for x in models:
                 models[x]["platform_name"] = name
             return models
diff --git a/server/reranker/reranker.py b/server/reranker/reranker.py
index 5a2de3c4..83792fdc 100644
--- a/server/reranker/reranker.py
+++ b/server/reranker/reranker.py
@@ -8,8 +8,7 @@ from typing import Optional, Sequence
 from langchain_core.documents import Document
 from langchain.callbacks.manager import Callbacks
 from langchain.retrievers.document_compressors.base import BaseDocumentCompressor
-from llama_index.bridge.pydantic import Field, PrivateAttr
-
+from pydantic import Field, PrivateAttr
 
 class LangchainReranker(BaseDocumentCompressor):
     """Document compressor that uses `Cohere Rerank API`."""