A factory type that enables structured output behavior in Pydantic models.
Example usage:
from pydantic_ai import Agent
from pydantic import BaseModel
from pydantic_outputs import structured, StructuredOutput
# structured is a type alias for StructuredOutput
# StructuredOutput(Model) is equivalent to @structured <ModelDef>
@structured
class FooBar(BaseModel):
foo: str
bar: int
class BarBaz(BaseModel):
bar: str
baz: int
agent = Agent('test')
result = agent.run_sync(
"Generate a sample object",
output_type=[FooBar, StructuredOutput(BarBaz)]
)
assert isinstance(result.output, dict)
Release files for pydantic-outputs 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydantic_outputs-0.1.2.tar.gz | 2.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydantic_outputs-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 kB
Release files / pydantic_outputs-0.1.2.tar.gz
| Download URL | pydantic_outputs-0.1.2.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
|
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Release files / pydantic_outputs-0.1.2-py3-none-any.whl
| Download URL | pydantic_outputs-0.1.2-py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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