- Aggiunge config_manager a load_model_from_config() per usare config attive - Migliora error handling con tipo eccezione e suggerimenti - Aggiunge pyproject.toml e setup.py per installazione pip
49 lines
1.2 KiB
TOML
49 lines
1.2 KiB
TOML
[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "langcode-agent"
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version = "1.0.0"
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description = "AI Agent harness based on LangChain Deep Agents with memory, planning and MCP support"
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readme = "README.md"
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requires-python = ">=3.10"
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license = {text = "MIT"}
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authors = [
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{name = "LangCode Team"}
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]
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keywords = ["ai", "agent", "langchain", "ollama", "mcp"]
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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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]
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dependencies = [
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"deepagents>=0.0.34",
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"langchain>=0.3.0",
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"langchain-community>=0.3.0",
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"langchain-openai>=0.1.0",
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"cryptography>=41.0.0",
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"requests>=2.31.0",
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"pyyaml>=6.0",
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"fastapi>=0.104.0",
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"uvicorn>=0.24.0",
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"pydantic>=2.5.0",
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"pytest>=7.4.0",
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]
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[project.scripts]
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langcode = "langcode:main"
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[project.urls]
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Homepage = "http://192.168.0.183:8085/truetype/langcode_agent"
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["*"]
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