* Added flows with new components * commented model provider assignment * Added agent component display name * commented provider assignment, assign provider on the generic component, assign custom values * fixed ollama not showing loading steps, fixed loading steps never being removed * made embedding and llm model optional on onboarding call * added isEmbedding handling on useModelSelection * added isEmbedding on onboarding card, separating embedding from non embedding card * Added one additional step to configure embeddings * Added embedding provider config * Changed settings.py to return if not embedding * Added editing fields to onboarding * updated onboarding and flows_service to change embedding and llm separately * updated templates that needs to be changed with provider values * updated flows with new components * Changed config manager to not have default models * Changed flows_service settings * Complete steps if not embedding * Add more onboarding steps * Removed one step from llm steps * Added Anthropic as a model for the language model on the frontend * Added anthropic models * Added anthropic support on Backend * Fixed provider health and validation * Format settings * Change anthropic logo * Changed button to not jump * Changed flows service to make anthropic work * Fixed some things * add embedding specific global variables * updated flows * fixed ingestion flow * Implemented anthropic on settings page * add embedding provider logo * updated backend to work with multiple provider config * update useUpdateSettings with new settings type * updated provider health banner to check for health with new api * changed queries and mutations to use new api * changed embedding model input to work with new api * Implemented provider based config on the frontend * update existing design * fixed settings configured * fixed provider health query to include health check for both the providers * Changed model-providers to show correctly the configured providers * Updated prompt * updated openrag agent * Fixed settings to allow editing providers and changing llm and embedding models * updated settings * changed lf ver * bump openrag version * added more steps * update settings to create the global variables * updated steps * updated default prompt --------- Co-authored-by: Sebastián Estévez <estevezsebastian@gmail.com>
61 lines
1.5 KiB
TOML
61 lines
1.5 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 = "openrag"
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version = "0.1.32"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"agentd>=0.2.2",
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"aiofiles>=24.1.0",
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"cryptography>=45.0.6",
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"docling[vlm]==2.41.0; sys_platform != 'darwin'",
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"docling[ocrmac,vlm]==2.41.0; sys_platform == 'darwin'",
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"google-api-python-client>=2.143.0",
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"google-auth-httplib2>=0.2.0",
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"google-auth-oauthlib>=1.2.0",
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"msal>=1.29.0",
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"httpx>=0.27.0",
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"opensearch-py[async]>=3.0.0",
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"pyjwt>=2.8.0",
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"python-multipart>=0.0.20",
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"starlette>=0.47.1",
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"torch>=2.7.1",
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"uvicorn>=0.35.0",
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"boto3>=1.35.0",
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"psutil>=7.0.0",
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"rich>=13.0.0",
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"textual>=0.45.0",
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"python-dotenv>=1.0.0",
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"textual-fspicker>=0.6.0",
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"structlog>=25.4.0",
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"docling-serve==1.5.0",
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"docling-core==2.48.1",
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"easyocr>=1.7.1"
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]
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[dependency-groups]
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dev = ["pytest>=8", "pytest-asyncio>=0.21.0", "pytest-mock>=3.12.0", "pytest-cov>=4.0.0"]
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[project.scripts]
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openrag = "tui.main:run_tui"
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[tool.uv]
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package = true
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cu128", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
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]
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torchvision = [
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{ index = "pytorch-cu128", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
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]
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[[tool.uv.index]]
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name = "pytorch-cu128"
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url = "https://download.pytorch.org/whl/cu128"
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explicit = true
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