mirror of
https://github.com/NandhaKishorM/laya.git
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NandakishorandClaude Opus 5.5
9d95567141
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
88 lines
2.8 KiB
TOML
88 lines
2.8 KiB
TOML
[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "laya"
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version = "0.3.21"
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description = "Fast, non-autoregressive System 1 decision engine with calibrated probabilities"
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readme = "README.md"
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requires-python = ">=3.10"
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license = { text = "Apache-2.0" }
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authors = [
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{ name = "Convai Innovations" }
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]
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keywords = ["decision-model", "rlcd", "calibration", "system-one", "routing", "guardrails", "moderation", "triage"]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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dependencies = [
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"torch>=2.0.0",
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"transformers>=4.48.0",
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"safetensors>=0.4.0",
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"huggingface_hub>=0.20.0",
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"numpy>=1.20.0",
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]
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[tool.setuptools]
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# assets/, research/ and notebooks/ sit in the root, so auto-discovery bails out.
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packages = ["laya", "laya.mcp", "laya.integrations"]
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[project.optional-dependencies]
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# `pip install laya[serve]` adds the HTTP server (laya.serve / the laya-serve CLI).
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serve = [
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"fastapi>=0.110.0",
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"uvicorn>=0.27.0",
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"python-multipart>=0.0.9", # examples/server.py form uploads
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]
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# `pip install laya[fast]` adds the TileLang GPU fast path (laya/fast.py); everything else works without it.
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fast = ["tilelang>=0.1.14"]
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# `pip install laya[mcp]` adds the MCP stdio server (laya.mcp / the laya-mcp-server CLI).
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mcp = ["mcp>=2.2.0"]
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# `pip install laya[structured]` adds pydantic for the typed-model helpers (laya/structured.py).
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structured = ["pydantic>=2.0.0"]
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# `pip install laya[onnx]` adds ONNX Runtime for `laya.onnx_agent` and `onnxscript`, which
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# `torch.onnx.export` requires (`scripts/export_onnx.py`, `tests/test_onnx.py`).
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onnx = ["onnx", "onnxruntime", "onnxscript"]
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# `pip install laya[langchain]` adds the LangChain / LangGraph integrations (laya.integrations).
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langchain = [
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"langchain-core>=0.2.0",
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"langgraph>=0.1.0",
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]
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langgraph = [
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"langchain-core>=0.2.0",
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"langgraph>=0.1.0",
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]
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# `pip install laya[llamaindex]` adds the LlamaIndex query router & selector integrations (laya.integrations).
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llamaindex = [
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"llama-index-core>=0.10.0",
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]
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# `pip install laya[crewai]` adds the CrewAI multi-agent delegation router (laya.integrations).
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crewai = [
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"crewai>=0.28.0",
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]
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[project.scripts]
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laya = "laya.cli:main"
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laya-serve = "laya.serve:main"
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laya-evals = "laya.evals_cli:main"
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laya-mcp-server = "laya.mcp.server:main"
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[project.urls]
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Homepage = "https://huggingface.co/convaiinnovations/laya"
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Demo = "https://huggingface.co/spaces/convaiinnovations/laya-demo"
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