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chore: bump up fastapi and python multipart (#376)
* merge * chore: bump up fastapi and python multipart * chore: bump up fastapi and python multipart
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docs/concepts/operators.md

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@@ -235,4 +235,4 @@ Gleaning is an iterative process that refines LLM outputs using context-aware va
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7. **Final Output**: The last refined output is returned.
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Note that gleaning can significantly increase the number of LLM calls for each operator, potentially doubling it at minimum. While this increases cost and latency, it can lead to higher quality outputs for complex tasks.
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Note that gleaning can significantly increase the number of LLM calls for each operator, potentially doubling it at minimum. While this increases cost and latency, it can lead to higher quality outputs for complex tasks.

poetry.lock

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pyproject.toml

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@@ -22,7 +22,6 @@ typer = "^0.12.5"
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asteval = "^1.0.4"
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scikit-learn = "^1.5.2"
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pyrate-limiter = "^3.7.0"
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python-multipart = "^0.0.17"
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openpyxl = { version = "^3.1.5", optional = true }
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python-docx = { version = "^1.1.2", optional = true }
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pydub = { version = "^0.25.1", optional = true }
@@ -31,7 +30,6 @@ paddlepaddle = { version = "^2.6.2", optional = true }
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pymupdf = { version = "^1.24.10", optional = true }
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jsonschema = "^4.23.0"
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rapidfuzz = "^3.10.0"
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fastapi = { version = "^0.115.0", optional = true }
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uvicorn = { version = "^0.31.0", optional = true }
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websockets = "^13.1"
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docling = { version = "^2.5.2", optional = true }
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httpx = { version = "^0.27.2", optional = true }
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boto3 = "^1.37.27"
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pandas = "^2.3.0"
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python-multipart = "^0.0.20"
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fastapi = { version = "^0.115.4", optional = true }
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[tool.poetry.extras]
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parsing = ["python-docx", "openpyxl", "pydub", "python-pptx", "azure-ai-documentintelligence", "paddlepaddle", "pymupdf"]

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