mirror of
https://github.com/supermemoryai/supermemory.git
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77 lines
1.7 KiB
TOML
77 lines
1.7 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "supermemory-pipecat"
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version = "0.1.1"
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description = "Supermemory integration for Pipecat - memory-enhanced conversational AI pipelines"
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readme = "README.md"
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license = "MIT"
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requires-python = ">=3.10"
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authors = [
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{ name = "Supermemory", email = "support@supermemory.ai" }
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]
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keywords = [
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"supermemory",
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"pipecat",
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"memory",
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"conversational-ai",
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"llm",
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"voice-ai",
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]
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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 :: MIT 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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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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dependencies = [
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"pipecat-ai>=0.0.98",
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"supermemory>=3.16.0",
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"pydantic>=2.10.0",
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"loguru>=0.7.3",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.3.5",
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"pytest-asyncio>=0.24.0",
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"mypy>=1.14.1",
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"black>=24.8.0",
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"isort>=5.13.2",
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]
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[project.urls]
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Homepage = "https://supermemory.ai"
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Documentation = "https://docs.supermemory.ai"
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Repository = "https://github.com/supermemoryai/supermemory"
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[tool.hatch.build.targets.wheel]
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packages = ["src/supermemory_pipecat"]
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[tool.hatch.build.targets.sdist]
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include = [
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"/src",
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"/tests",
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"/README.md",
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"/LICENSE",
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]
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[tool.black]
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line-length = 100
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target-version = ["py310"]
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[tool.isort]
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profile = "black"
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line_length = 100
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[tool.mypy]
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python_version = "3.10"
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warn_return_any = true
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warn_unused_configs = true
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disallow_untyped_defs = true
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