llm-router/pyproject.toml at experimental · NVIDIA-AI-Blueprints/llm-router · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
[build-system]
build-backend = "setuptools.build_meta"
requires = ["setuptools >= 64", "setuptools-scm>=8"]

[project]
name = "nat_sfc_router"
dynamic = ["version"]
dependencies = [
    "nvidia-nat==1.3.1",
    "langgraph-prebuilt==1.0.5",
    "langchain-openai==1.1.6",
    "torch",
    "transformers==5.0.0rc1",
    "numpy",
    "scikit-learn",
    "openai",
    "requests",
    "clip-client==0.8.3",
    "joblib",
    "tqdm",
    "Pillow>=10.1.0",
    "datasets",
    "gradio",
    "python-dotenv",
    "docarray==0.21.1",
]
requires-python = "==3.12.*"
description = "NeMo Agent toolkit router"
keywords = ["ai", "rag", "agents"]
classifiers = ["Programming Language :: Python"]

[tool.uv]
managed = true
override-dependencies = [
    "uvicorn==0.23.1",
    "pydantic>=2.0.0",
    "jina==3.34.0",
    "docarray==0.21.1"
]

[project.entry-points.'nat.components']
nat_multimodal_agent = "nat_sfc_router.register"

[tool.setuptools.package-data]
nat_sfc_router = [
    "*.npy",
    "*.json",
    "*.pt",
    "*.pth",
    "*.yml",
    "configs/*.yml",
    "training/router_artifacts/*"
]