fixes

src/openrouter/components/modelarchitecture.py

@@ -0,0 +1,122 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from __future__ import annotations
+from .inputmodality import InputModality
+from .modelgroup import ModelGroup
+from .outputmodality import OutputModality
+from openrouter.types import (
+    BaseModel,
+    Nullable,
+    OptionalNullable,
+    UNSET,
+    UNSET_SENTINEL,
+    UnrecognizedStr,
+)
+from openrouter.utils import validate_open_enum
+from pydantic import model_serializer
+from pydantic.functional_validators import PlainValidator
+from typing import List, Literal, Optional, Union
+from typing_extensions import Annotated, NotRequired, TypedDict
+
+
+ModelArchitectureInstructType = Union[
+    Literal[
+        "none",
+        "airoboros",
+        "alpaca",
+        "alpaca-modif",
+        "chatml",
+        "claude",
+        "code-llama",
+        "gemma",
+        "llama2",
+        "llama3",
+        "mistral",
+        "nemotron",
+        "neural",
+        "openchat",
+        "phi3",
+        "rwkv",
+        "vicuna",
+        "zephyr",
+        "deepseek-r1",
+        "deepseek-v3.1",
+        "qwq",
+        "qwen3",
+    ],
+    UnrecognizedStr,
+]
+r"""Instruction format type"""
+
+
+class ModelArchitectureTypedDict(TypedDict):
+    r"""Model architecture information"""
+
+    modality: Nullable[str]
+    r"""Primary modality of the model"""
+    input_modalities: List[InputModality]
+    r"""Supported input modalities"""
+    output_modalities: List[OutputModality]
+    r"""Supported output modalities"""
+    tokenizer: NotRequired[ModelGroup]
+    r"""Tokenizer type used by the model"""
+    instruct_type: NotRequired[Nullable[ModelArchitectureInstructType]]
+    r"""Instruction format type"""
+
+
+class ModelArchitecture(BaseModel):
+    r"""Model architecture information"""
+
+    modality: Nullable[str]
+    r"""Primary modality of the model"""
+
+    input_modalities: List[
+        Annotated[InputModality, PlainValidator(validate_open_enum(False))]
+    ]
+    r"""Supported input modalities"""
+
+    output_modalities: List[
+        Annotated[OutputModality, PlainValidator(validate_open_enum(False))]
+    ]
+    r"""Supported output modalities"""
+
+    tokenizer: Annotated[
+        Optional[ModelGroup], PlainValidator(validate_open_enum(False))
+    ] = None
+    r"""Tokenizer type used by the model"""
+
+    instruct_type: Annotated[
+        OptionalNullable[ModelArchitectureInstructType],
+        PlainValidator(validate_open_enum(False)),
+    ] = UNSET
+    r"""Instruction format type"""
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        optional_fields = ["tokenizer", "instruct_type"]
+        nullable_fields = ["instruct_type", "modality"]
+        null_default_fields = []
+
+        serialized = handler(self)
+
+        m = {}
+
+        for n, f in type(self).model_fields.items():
+            k = f.alias or n
+            val = serialized.get(k)
+            serialized.pop(k, None)
+
+            optional_nullable = k in optional_fields and k in nullable_fields
+            is_set = (
+                self.__pydantic_fields_set__.intersection({n})
+                or k in null_default_fields
+            )  # pylint: disable=no-member
+
+            if val is not None and val != UNSET_SENTINEL:
+                m[k] = val
+            elif val != UNSET_SENTINEL and (
+                not k in optional_fields or (optional_nullable and is_set)
+            ):
+                m[k] = val
+
+        return m