mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-10-12 03:50:59 +00:00
2c35d31762
* feat(application): add thread pool support and background job threading capabilities - Integrate ThreadPoolExecutor for shared thread pool management in application context - Add thread_pool_max_workers configuration option with default value of 0 (disabled) - Implement thread pool creation and shutdown in application lifecycle methods - Add use_thread_pool option to background job configuration for thread-based execution - Support both asyncio event loop and threading event for background job stop mechanism - Implement _run_in_thread method for running supervisors in dedicated threads - Modify embedding models to use serial batching instead of concurrent batching - Remove max_concurrency parameter from base embedding model component - Update embedding model documentation to reflect serial batching implementation - Add pyproject.toml with project metadata, dependencies, and build configuration * refactor(job): simplify background job thread execution - Replace separate _run_in_thread method with direct lambda execution - Remove unnecessary ensure_future wrapper for thread pool execution - Simplify asyncio event loop usage in thread pool mode - Maintain same background job functionality with cleaner implementation - Remove redundant method definition and streamline execution flow
84 lines
2 KiB
TOML
84 lines
2 KiB
TOML
[project]
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name = "reme4"
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dynamic = ["version"]
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description = "Remember Me, Refine Me."
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authors = [
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{ name = "EconML team of Alibaba Tongyi Lab", email = "jinli.yl@alibaba-inc.com" },
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]
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license = "Apache-2.0"
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requires-python = ">=3.11"
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keywords = ["llm", "memory", "agent", "agentscope", "ai", "mcp", "reme"]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.11",
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"Operating System :: OS Independent",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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dependencies = [
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"aiofiles>=24.1.0",
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"fastapi>=0.135.1",
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"fastmcp>=3.1.0",
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"httpx>=0.28.1",
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"loguru>=0.7.3",
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"mistletoe>=1.5.1",
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"numpy>=2.2.6",
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"openai>=2.26.0",
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"pydantic>=2.12.5",
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"python-frontmatter>=1.1.0",
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"pyyaml>=6.0.3",
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"rich>=14.3.3",
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"uvicorn>=0.41.0",
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"watchfiles>=1.1.1",
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]
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[project.optional-dependencies]
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core = [
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"agentscope>=2.0.0",
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"faiss-cpu>=1.13.2",
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"jieba>=0.42.1",
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"rjieba>=0.2.1",
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"neo4j>=6.2.0",
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"networkx>=3.4.2",
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]
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dev = [
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"pre-commit",
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"pytest>=8.0",
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"pytest-asyncio>=0.23",
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]
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full = [
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"reme4[core]",
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"reme4[dev]",
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]
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[project.urls]
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Homepage = "https://github.com/agentscope-ai/ReMe"
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Documentation = "https://reme.agentscope.io/"
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Repository = "https://github.com/agentscope-ai/ReMe"
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[project.scripts]
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reme4 = "reme4.reme:main"
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[tool.setuptools]
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packages = { find = { where = [".."], include = ["reme4*"] } }
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include-package-data = true
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[tool.setuptools.package-data]
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"*" = ["py.typed", "**/*.yaml", "**/*.json"]
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[tool.setuptools.dynamic]
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version = { attr = "reme4.__version__" }
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[build-system]
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requires = ["setuptools>=45", "wheel"]
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build-backend = "setuptools.build_meta"
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[tool.pytest.ini_options]
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asyncio_default_fixture_loop_scope = "function"
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testpaths = ["../tests4"]
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python_files = ["test_*.py"]
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python_functions = ["test_*"]
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