ReMe/pyproject.toml
jinliyl 99afc2604f
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fix(release): harden embedding store and plugins for ReMe 0.4.1.9 (#503)
* chore(release): prepare ReMe 0.4.1.9

* refactor(config): remove daily_cookbook and streamline plugin configs

- Delete the entire daily_cookbook.yaml standalone application config
- Remove qwenpaw dependencies verification and related CI workflow steps
- Simplify release workflows by removing qwenpaw verification and enforcing reme-ai >=0.4.1.9
- Update plugin start commands and examples to use 'default' or 'demo' configs instead of daily_cookbook
- Adjust imports and tests related to daily_cookbook removal and injected_job_kwargs enhancements
- Refactor agent wrapper to support injected_job_kwargs for job parameter injection in auto-fin and daily-paper
- Improve daily_paper digest prompt to include configured daily directory and correct historical search constraints
- Update dependency versions in pyproject.toml files to require reme-ai >=0.4.1.9 and remove qwenpaw optional dependencies
- Clean up unused environment variables and obsolete test cases related to daily_cookbook and verification steps

* fix(local_embedding_store): retry batch computation on vector space changes

- Add up to 3 attempts to recompute embedding batch if vector space changes during processing
- Log warnings when maximum retries reached and discard stale results
- Prevent caching results from outdated vector spaces to maintain consistency
- Add tests to verify retry behavior and abort after continuous vector space churn

fix(daily_paper): update digest search logic and tests

- Change search to query existing memory, not only previous articles in daily_dir
- Allow multiple searches outside daily_dir but limit links to dated markdown in daily_dir before today
- Update test assertions to reflect revised search and linking rules

* fix(embedding): retry vector space changes per request
2026-08-28 11:35:04 +08:00

103 lines
2.4 KiB
TOML

[project]
name = "reme-ai"
dynamic = ["version"]
description = "Remember Me, Refine Me."
readme = "README.md"
authors = [
{ name = "EconML team of Alibaba Tongyi Lab", email = "jinli.yl@alibaba-inc.com" },
]
license = "Apache-2.0"
requires-python = ">=3.11"
keywords = ["llm", "memory", "agent", "agentscope", "ai", "mcp", "reme"]
classifiers = [
"Development Status :: 4 - Beta",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Operating System :: OS Independent",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"aiofiles>=24.1.0",
"croniter>=2.0",
"fastapi>=0.135.1",
"fastmcp>=3.1.0",
"httpx[socks]>=0.28.1",
"loguru>=0.7.3",
"mistletoe>=1.5.1",
"numpy>=2.2.6",
"openai>=2.26.0",
"psutil>=5.9",
"pydantic>=2.12.5",
"python-frontmatter>=1.1.0",
"pyyaml>=6.0.3",
"rich>=14.3.3",
"uvicorn>=0.41.0",
"watchfiles>=1.1.1",
"zstandard>=0.23.0",
]
[project.optional-dependencies]
as = [
"agentscope[model-ollama]==2.0.7",
]
web = [
"reme_studio",
]
core = [
"reme-ai[as]",
"claude-agent-sdk>=0.2.126",
"dingtalk-stream>=0.24.3",
"openai-codex>=0.144.4",
"pproxy>=2.7.9,<3",
"faiss-cpu>=1.13.2",
"zvec>=0.6.0",
"jieba>=0.42.1",
"rjieba>=0.2.1",
"neo4j>=6.2.0",
"networkx>=3.4.2",
"polars>=1.43.0",
"reme_studio",
]
dev = [
"packaging>=24.2",
"pre-commit>=4.6.1",
"pytest>=9.1.1",
"pytest-asyncio>=0.23",
]
full = [
"reme-ai[core]",
"reme-ai[dev]",
]
[project.urls]
Homepage = "https://github.com/agentscope-ai/ReMe"
Documentation = "https://reme.agentscope.io"
Repository = "https://github.com/agentscope-ai/ReMe"
[project.scripts]
reme = "reme.reme:main"
[tool.setuptools]
packages = { find = { where = ["."], include = ["reme", "reme.*"], exclude = ["reme_studio*"] } }
include-package-data = true
[tool.setuptools.package-data]
"*" = ["py.typed", "**/*.yaml", "**/*.json"]
"reme.components.tokenizer" = ["stopwords"]
[tool.setuptools.dynamic]
version = { attr = "reme.__version__" }
[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"
[tool.pytest.ini_options]
asyncio_default_fixture_loop_scope = "function"
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]