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core[patch]: pydantic 2.11 compat (#30554)

Browse Source 
Release notes: https://pydantic.dev/articles/pydantic-v2-11-release

Covered here:

- We no longer access `model_fields` on class instances (that is now
deprecated);
- Update schema normalization for Pydantic version testing to reflect
changes to generated JSON schema (addition of `"additionalProperties":
True` for dict types with value Any or object).

## Considerations:

### Changes to JSON schema generation

#### Tool-calling / structured outputs

This may impact tool-calling + structured outputs for some providers,
but schema generation only changes if you have parameters of the form
`dict`, `dict[str, Any]`, `dict[str, object]`, etc. If dict parameters
are typed my understanding is there are no changes.

For OpenAI for example, untyped dicts work for structured outputs with
default settings before and after updating Pydantic, and error both
before/after if `strict=True`.

### Use of `model_fields`

There is one spot where we previously accessed `super(cls,
self).model_fields`, where `cls` is an object in the MRO. This was done
for the purpose of tracking aliases in secrets. I've updated this to
always be `type(self).model_fields`-- see comment in-line for detail.

---------

Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
This commit is contained in:
ccurme 2025-03-31 14:22:57 -04:00 committed by GitHub
parent e8be3cca5c
commit 0c623045b5
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
8 changed files with 212 additions and 147 deletions
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17
libs/core/langchain_core/load/serializable.py
View File

@ -78,7 +78,7 @@ def try_neq_default(value: Any, key: str, model: BaseModel) -> bool:
Raises:
Exception: If the key is not in the model.
"""
field = model.model_fields[key]
field = type(model).model_fields[key]
return _try_neq_default(value, field)
@ -191,7 +191,7 @@ class Serializable(BaseModel, ABC):
return [
(k, v)
for k, v in super().__repr_args__()
if (k not in self.model_fields or try_neq_default(v, k, self))
if (k not in type(self).model_fields or try_neq_default(v, k, self))
]
def to_json(self) -> Union[SerializedConstructor, SerializedNotImplemented]:
@ -203,6 +203,7 @@ class Serializable(BaseModel, ABC):
if not self.is_lc_serializable():
return self.to_json_not_implemented()
model_fields = type(self).model_fields
secrets = {}
# Get latest values for kwargs if there is an attribute with same name
lc_kwargs = {}
@ -210,7 +211,7 @@ class Serializable(BaseModel, ABC):
if not _is_field_useful(self, k, v):
continue
# Do nothing if the field is excluded
if k in self.model_fields and self.model_fields[k].exclude:
if k in model_fields and model_fields[k].exclude:
continue
lc_kwargs[k] = getattr(self, k, v)
@ -246,10 +247,10 @@ class Serializable(BaseModel, ABC):
# that are not present in the fields.
for key in list(secrets):
value = secrets[key]
if key in this.model_fields:
alias = this.model_fields[key].alias
if alias is not None:
secrets[alias] = value
if (key in model_fields) and (
alias := model_fields[key].alias
) is not None:
secrets[alias] = value
lc_kwargs.update(this.lc_attributes)
# include all secrets, even if not specified in kwargs
@ -286,7 +287,7 @@ def _is_field_useful(inst: Serializable, key: str, value: Any) -> bool:
If the field is not required and the value is None, it is useful if the
default value is different from the value.
"""
field = inst.model_fields.get(key)
field = type(inst).model_fields.get(key)
if not field:
return False

5
libs/core/langchain_core/runnables/base.py
View File

@ -2514,11 +2514,12 @@ class RunnableSerializable(Serializable, Runnable[Input, Output]):
"""
from langchain_core.runnables.configurable import RunnableConfigurableFields
model_fields = type(self).model_fields
for key in kwargs:
if key not in self.model_fields:
if key not in model_fields:
msg = (
f"Configuration key {key} not found in {self}: "
f"available keys are {self.model_fields.keys()}"
f"available keys are {model_fields.keys()}"
)
raise ValueError(msg)

11
libs/core/langchain_core/runnables/configurable.py
View File

@ -378,6 +378,7 @@ class RunnableConfigurableFields(DynamicRunnable[Input, Output]):
"""
config_specs = []
default_fields = type(self.default).model_fields
for field_name, spec in self.fields.items():
if isinstance(spec, ConfigurableField):
config_specs.append(
@ -385,18 +386,16 @@ class RunnableConfigurableFields(DynamicRunnable[Input, Output]):
id=spec.id,
name=spec.name,
description=spec.description
or self.default.model_fields[field_name].description,
or default_fields[field_name].description,
annotation=spec.annotation
or self.default.model_fields[field_name].annotation,
or default_fields[field_name].annotation,
default=getattr(self.default, field_name),
is_shared=spec.is_shared,
)
)
else:
config_specs.append(
make_options_spec(
spec, self.default.model_fields[field_name].description
)
make_options_spec(spec, default_fields[field_name].description)
)
config_specs.extend(self.default.config_specs)
@ -444,7 +443,7 @@ class RunnableConfigurableFields(DynamicRunnable[Input, Output]):
init_params = {
k: v
for k, v in self.default.__dict__.items()
if k in self.default.model_fields
if k in type(self.default).model_fields
}
return (
self.default.__class__(**{**init_params, **configurable}),

4
libs/core/tests/unit_tests/prompts/test_prompt.py
View File

@ -237,8 +237,8 @@ def test_mustache_prompt_from_template(snapshot: SnapshotAssertion) -> None:
is a test."""
)
assert prompt.input_variables == ["foo"]
assert prompt.get_input_jsonschema() == {
"properties": {"foo": {"default": None, "title": "Foo", "type": "object"}},
assert _normalize_schema(prompt.get_input_jsonschema()) == {
"properties": {"foo": {"title": "Foo", "type": "object"}},
"title": "PromptInput",
"type": "object",
}

36
libs/core/tests/unit_tests/pydantic_utils.py
View File

@ -1,4 +1,4 @@
from typing import Any
from typing import Any, Union
from pydantic import BaseModel
@ -97,6 +97,39 @@ def _schema(obj: Any) -> dict:
return schema_
def _remove_additionalproperties_from_untyped_dicts(schema: dict) -> dict[str, Any]:
"""Remove `"additionalProperties": True` from dicts in the schema.
Pydantic 2.11 and later versions include `"additionalProperties": True` when
generating JSON schemas for dict properties with `Any` or `object` values.
"""
def _remove_dict_additional_props(
obj: Union[dict[str, Any], list[Any]], inside_properties: bool = False
) -> None:
if isinstance(obj, dict):
if (
inside_properties
and obj.get("type") == "object"
and obj.get("additionalProperties") is True
):
obj.pop("additionalProperties", None)
# Recursively scan children
for key, value in obj.items():
# We are "inside_properties" if the *current* key is "properties",
# or if we were already inside properties in the caller.
next_inside_properties = inside_properties or (key == "properties")
_remove_dict_additional_props(value, next_inside_properties)
elif isinstance(obj, list):
for item in obj:
_remove_dict_additional_props(item, inside_properties)
_remove_dict_additional_props(schema, inside_properties=False)
return schema
def _normalize_schema(obj: Any) -> dict[str, Any]:
"""Generate a schema and normalize it.
@ -117,4 +150,5 @@ def _normalize_schema(obj: Any) -> dict[str, Any]:
remove_all_none_default(data)
replace_all_of_with_ref(data)
_remove_enum(data)
_remove_additionalproperties_from_untyped_dicts(data)
return data

70
libs/core/tests/unit_tests/runnables/__snapshots__/test_graph.ambr
View File

@ -30,41 +30,6 @@
'''
# ---
# name: test_triple_nested_subgraph_mermaid[mermaid]
'''
---
config:
flowchart:
curve: linear
---
graph TD;
__start__([<p>__start__</p>]):::first
parent_1(parent_1)
parent_2(parent_2)
__end__([<p>__end__</p>]):::last
__start__ --> parent_1;
child_child_2 --> parent_2;
parent_1 --> child_child_1_grandchild_1;
parent_2 --> __end__;
subgraph child
child_child_2(child_2)
child_child_1_grandchild_2 --> child_child_2;
subgraph child_1
child_child_1_grandchild_1(grandchild_1)
child_child_1_grandchild_2(grandchild_2<hr/><small><em>__interrupt = before</em></small>)
child_child_1_grandchild_1_greatgrandchild --> child_child_1_grandchild_2;
subgraph grandchild_1
child_child_1_grandchild_1_greatgrandchild(greatgrandchild)
child_child_1_grandchild_1 --> child_child_1_grandchild_1_greatgrandchild;
end
end
end
classDef default fill:#f2f0ff,line-height:1.2
classDef first fill-opacity:0
classDef last fill:#bfb6fc
'''
# ---
# name: test_graph_mermaid_duplicate_nodes[mermaid]
'''
graph TD;
@ -2148,3 +2113,38 @@
]),
})
# ---
# name: test_triple_nested_subgraph_mermaid[mermaid]
'''
---
config:
flowchart:
curve: linear
---
graph TD;
__start__([<p>__start__</p>]):::first
parent_1(parent_1)
parent_2(parent_2)
__end__([<p>__end__</p>]):::last
__start__ --> parent_1;
child_child_2 --> parent_2;
parent_1 --> child_child_1_grandchild_1;
parent_2 --> __end__;
subgraph child
child_child_2(child_2)
child_child_1_grandchild_2 --> child_child_2;
subgraph child_1
child_child_1_grandchild_1(grandchild_1)
child_child_1_grandchild_2(grandchild_2<hr/><small><em>__interrupt = before</em></small>)
child_child_1_grandchild_1_greatgrandchild --> child_child_1_grandchild_2;
subgraph grandchild_1
child_child_1_grandchild_1_greatgrandchild(greatgrandchild)
child_child_1_grandchild_1 --> child_child_1_grandchild_1_greatgrandchild;
end
end
end
classDef default fill:#f2f0ff,line-height:1.2
classDef first fill-opacity:0
classDef last fill:#bfb6fc
'''
# ---

8
libs/core/tests/unit_tests/runnables/test_history.py
View File

@ -1,6 +1,7 @@
from collections.abc import Sequence
from typing import Any, Callable, Optional, Union
import pydantic
import pytest
from pydantic import BaseModel
@ -19,6 +20,8 @@ from langchain_core.runnables.utils import ConfigurableFieldSpec, Input, Output
from langchain_core.tracers import Run
from tests.unit_tests.pydantic_utils import _schema
PYDANTIC_VERSION = tuple(map(int, pydantic.__version__.split(".")))
def test_interfaces() -> None:
history = InMemoryChatMessageHistory()
@ -484,10 +487,13 @@ def test_get_output_schema() -> None:
)
output_type = with_history.get_output_schema()
assert _schema(output_type) == {
expected_schema: dict = {
"title": "RunnableWithChatHistoryOutput",
"type": "object",
}
if PYDANTIC_VERSION >= (2, 11):
expected_schema["additionalProperties"] = True
assert _schema(output_type) == expected_schema
def test_get_input_schema_input_messages() -> None:

208
libs/core/uv.lock
View File

@ -1,5 +1,4 @@
version = 1
revision = 1
requires-python = ">=3.9, <4.0"
resolution-markers = [
"python_full_version >= '3.12.4'",
@ -1667,113 +1666,126 @@ wheels = [
[[package]]
name = "pydantic"
version = "2.10.6"
version = "2.11.1"
source = { registry = "https://pypi.org/simple" }
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{ name = "annotated-types" },
{ name = "pydantic-core" },
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]
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