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setup.py
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setup.py
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from setuptools import find_packages, setup
# Read the content of the README file
with open("README.md", encoding="utf-8") as f:
long_description = f.read()
# Read the content of the requirements.txt file
with open("requirements.txt", encoding="utf-8") as f:
requirements = f.read().splitlines()
setup(
#replace_package_name_marker
name="dspy",
#replace_package_version_marker
version="2.5.15",
description="DSPy",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/stanfordnlp/dsp",
author="Omar Khattab",
author_email="okhattab@stanford.edu",
license="MIT License",
packages=find_packages(include=["dsp.*", "dspy.*", "dsp", "dspy"]),
python_requires=">=3.9",
install_requires=requirements,
extras_require={
"chromadb": ["chromadb~=0.4.14"],
"lancedb": ["lancedb~=0.11.0"],
"qdrant": ["qdrant-client", "fastembed"],
"marqo": ["marqo~=3.1.0"],
"mongodb": ["pymongo~=3.12.0"],
"pinecone": ["pinecone-client~=2.2.4"],
"weaviate": ["weaviate-client~=4.6.5"],
"faiss-cpu": ["sentence_transformers", "faiss-cpu"],
"milvus": ["pymilvus~=2.3.7"],
"google-vertex-ai": ["google-cloud-aiplatform==1.43.0"],
"myscale":["clickhouse-connect"],
"snowflake": ["snowflake-snowpark-python"],
"fastembed": ["fastembed"],
"groq": ["groq~=0.8.0"],
"langfuse": ["langfuse~=2.36.1"],
"pgvector": ["psycopg2~=2.9.9","pgvector~=0.2.5"]
},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
)