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relax pydantic, pydantic-settings, and uvicorn
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@@ -25,11 +25,11 @@ dependencies = [
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"anyio>=4.5",
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"httpx>=0.27",
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"httpx-sse>=0.4",
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"pydantic>=2.10.1,<3.0.0",
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"pydantic>=2.7.2,<3.0.0",
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"starlette>=0.27",
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"sse-starlette>=1.6.1",
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"pydantic-settings>=2.6.1",
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"uvicorn>=0.30",
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"pydantic-settings>=2.5.2",
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"uvicorn>=0.23.1",
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]
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[project.optional-dependencies]
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@@ -235,8 +235,48 @@ async def test_lambda_function():
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def test_complex_function_json_schema():
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"""Test JSON schema generation for complex function arguments.
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Note: This test accepts two equivalent JSON Schema formats for models with defaults:
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1. Pre-pydantic 2.7.2:
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{
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"$ref": "#/$defs/Model",
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"default": {}
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}
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2. Pydantic 2.7.2+:
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{
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"allOf": [
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{
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"$ref": "#/$defs/Model"
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}
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],
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"default": {}
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}
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Both formats are valid JSON Schema and represent the same validation rules.
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The newer format using allOf is more correct according to the JSON Schema spec
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as it properly composes the reference with additional properties.
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This change in format does not affect runtime behavior since:
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1. Both schemas validate the same way
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2. The actual model classes and validation logic are unchanged
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3. func_metadata uses model_validate/model_dump, not the schema directly
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"""
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meta = func_metadata(complex_arguments_fn)
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assert meta.arg_model.model_json_schema() == {
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actual_schema = meta.arg_model.model_json_schema()
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# Create a copy of the actual schema to normalize
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normalized_schema = actual_schema.copy()
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# Normalize the my_model_a_with_default field to handle both pydantic formats
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if 'allOf' in actual_schema['properties']['my_model_a_with_default']:
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normalized_schema['properties']['my_model_a_with_default'] = {
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'$ref': '#/$defs/SomeInputModelA',
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'default': {}
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}
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assert normalized_schema == {
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"$defs": {
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"InnerModel": {
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"properties": {"x": {"title": "X", "type": "integer"}},
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