upgrade pydantic to latest

llama_toolchain/agentic_system/api/datatypes.py

@@ -10,7 +10,7 @@ from typing import Any, Dict, List, Literal, Optional, Union
 
 from llama_models.schema_utils import json_schema_type
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 from typing_extensions import Annotated
 
 from llama_toolchain.common.deployment_types import *  # noqa: F403
@@ -42,6 +42,8 @@ class StepType(Enum):
 
 @json_schema_type
 class InferenceStep(StepCommon):
+    model_config = ConfigDict(protected_namespaces=())
+
     step_type: Literal[StepType.inference.value] = StepType.inference.value
     model_response: CompletionMessage
 
@@ -157,6 +159,8 @@ class AgenticSystemTurnResponseStepCompletePayload(BaseModel):
 
 @json_schema_type
 class AgenticSystemTurnResponseStepProgressPayload(BaseModel):
+    model_config = ConfigDict(protected_namespaces=())
+
     event_type: Literal[AgenticSystemTurnResponseEventType.step_progress.value] = (
         AgenticSystemTurnResponseEventType.step_progress.value
     )

llama_toolchain/common/prompt_for_config.py

@@ -11,7 +11,7 @@ from enum import Enum
 from typing import Any, get_args, get_origin, List, Literal, Optional, Type, Union
 
 from pydantic import BaseModel
-from pydantic.fields import ModelField
+from pydantic_core import PydanticUndefinedType
 
 from typing_extensions import Annotated
 
@@ -43,19 +43,11 @@ def get_non_none_type(field_type):
     return next(arg for arg in get_args(field_type) if arg is not type(None))
 
 
-def manually_validate_field(model: Type[BaseModel], field: ModelField, value: Any):
+def manually_validate_field(model: Type[BaseModel], field_name: str, value: Any):
-    validators = field.class_validators.values()
+    validators = model.__pydantic_decorators__.field_validators
-
+    for _name, validator in validators.items():
-    for validator in validators:
+        if field_name in validator.info.fields:
-        if validator.pre:
+            validator.func(value)
-            value = validator.func(model, value)
-
-    # Apply type coercion
-    value = field.type_(value)
-
-    for validator in validators:
-        if not validator.pre:
-            value = validator.func(model, value)
 
     return value
 
@@ -89,9 +81,11 @@ def prompt_for_config(
             default_value = existing_value
         else:
             default_value = (
-                field.default if not isinstance(field.default, type(Ellipsis)) else None
+                field.default
+                if not isinstance(field.default, PydanticUndefinedType)
+                else None
             )
-        is_required = field.required
+        is_required = field.is_required
 
         # Skip fields with Literal type
         if get_origin(field_type) is Literal:
@@ -247,7 +241,9 @@ def prompt_for_config(
 
                 try:
                     # Validate the field using our manual validation function
-                    validated_value = manually_validate_field(config_type, field, value)
+                    validated_value = manually_validate_field(
+                        config_type, field_name, value
+                    )
                     config_data[field_name] = validated_value
                     break
                 except ValueError as e:

llama_toolchain/inference/meta_reference/config.py

@@ -11,9 +11,9 @@ from llama_models.datatypes import ModelFamily
 from llama_models.schema_utils import json_schema_type
 from llama_models.sku_list import all_registered_models
 
-from llama_toolchain.inference.api import QuantizationConfig
+from pydantic import BaseModel, Field, field_validator
 
-from pydantic import BaseModel, Field, validator
+from llama_toolchain.inference.api import QuantizationConfig
 
 
 @json_schema_type
@@ -27,7 +27,7 @@ class MetaReferenceImplConfig(BaseModel):
     max_seq_len: int
     max_batch_size: int = 1
 
-    @validator("model")
+    @field_validator("model")
     @classmethod
     def validate_model(cls, model: str) -> str:
         permitted_models = [

requirements.txt

@@ -2,6 +2,5 @@ fire
 httpx
 huggingface-hub
 llama-models
-pydantic==1.10.13
+pydantic
-pydantic_core==2.18.2
 requests