# API requirements

# On Windows system, install the cuda version manually from https://pytorch.org/
torch~=2.1.2
torchvision~=0.16.2
torchaudio~=2.1.2
xformers==0.0.23.post1
transformers==4.36.2
sentence_transformers==2.2.2

langchain==0.0.352
langchain-experimental==0.0.47
pydantic==1.10.13
fschat==0.2.34
openai~=1.6.0
fastapi>=0.105
sse_starlette
nltk>=3.8.1
uvicorn>=0.24.0.post1
starlette~=0.27.0
unstructured[all-docs]==0.11.0
python-magic-bin; sys_platform == 'win32'
SQLAlchemy==2.0.19
faiss-cpu~=1.7.4 # `conda install faiss-gpu -c conda-forge` if you want to accelerate with gpus
accelerate==0.24.1
spacy~=3.7.2
PyMuPDF~=1.23.8
rapidocr_onnxruntime~=1.3.8
requests>=2.31.0
pathlib>=1.0.1
pytest>=7.4.3
numexpr>=2.8.6 # max version for py38
strsimpy>=0.2.1
markdownify>=0.11.6
tiktoken~=0.5.2
tqdm>=4.66.1
websockets>=12.0
numpy~=1.26.2
pandas~=2.1.4
einops>=0.7.0
transformers_stream_generator==0.0.4
vllm==0.2.6; sys_platform == "linux"
httpx[brotli,http2,socks]~=0.25.2

# optional document loaders

rapidocr_paddle[gpu]>=1.3.0.post5 # gpu accelleration for ocr of pdf and image files
jq>=1.6.0 # for .json and .jsonl files. suggest `conda install jq` on windows
# html2text # for .enex files
beautifulsoup4~=4.12.2 # for .mhtml files
pysrt~=1.1.2

# Online api libs dependencies

zhipuai>=1.0.7, <=2.0.0 # zhipu
dashscope>=1.13.6 # qwen
# volcengine>=1.0.119 # fangzhou

# uncomment libs if you want to use corresponding vector store
# pymilvus>=2.3.4
# psycopg2==2.9.9
# pgvector>=0.2.4

# Agent and Search Tools

arxiv>=2.0.0
youtube-search>=2.1.2
duckduckgo-search>=3.9.9
metaphor-python>=0.1.23
docx2txt