"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""

from __future__ import annotations
from openrouter.types import (
    BaseModel,
    Nullable,
    OptionalNullable,
    UNSET,
    UNSET_SENTINEL,
    UnrecognizedStr,
)
from openrouter.utils import (
    FieldMetadata,
    HeaderMetadata,
    QueryParamMetadata,
    validate_open_enum,
)
import pydantic
from pydantic import model_serializer
from pydantic.functional_validators import PlainValidator
from typing import Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypedDict


class GetModelsGlobalsTypedDict(TypedDict):
    http_referer: NotRequired[str]
    r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
    This is used to track API usage per application.

    """
    x_open_router_title: NotRequired[str]
    r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.

    """
    x_open_router_categories: NotRequired[str]
    r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.

    """


class GetModelsGlobals(BaseModel):
    http_referer: Annotated[
        Optional[str],
        pydantic.Field(alias="HTTP-Referer"),
        FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
    ] = None
    r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
    This is used to track API usage per application.

    """

    x_open_router_title: Annotated[
        Optional[str],
        pydantic.Field(alias="X-OpenRouter-Title"),
        FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
    ] = None
    r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.

    """

    x_open_router_categories: Annotated[
        Optional[str],
        pydantic.Field(alias="X-OpenRouter-Categories"),
        FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
    ] = None
    r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.

    """


GetModelsCategory = Union[
    Literal[
        "programming",
        "roleplay",
        "marketing",
        "marketing/seo",
        "technology",
        "science",
        "translation",
        "legal",
        "finance",
        "health",
        "trivia",
        "academia",
    ],
    UnrecognizedStr,
]
r"""Filter models by use case category"""


GetModelsSort = Union[
    Literal[
        "most-popular",
        "newest",
        "top-weekly",
        "pricing-low-to-high",
        "pricing-high-to-low",
        "context-high-to-low",
        "throughput-high-to-low",
        "latency-low-to-high",
    ],
    UnrecognizedStr,
]
r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""


Distillable = Union[
    Literal[
        "true",
        "false",
    ],
    UnrecognizedStr,
]
r"""Filter by distillation capability. \"true\" returns only distillable models, \"false\" excludes them."""


Zdr = Literal["true",]
r"""When set to \"true\", return only models with zero data retention endpoints."""


Region = Literal["eu",]
r"""Filter to models with endpoints in the given data region. Currently only \"eu\" is supported."""


class GetModelsRequestTypedDict(TypedDict):
    http_referer: NotRequired[str]
    r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
    This is used to track API usage per application.

    """
    x_open_router_title: NotRequired[str]
    r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.

    """
    x_open_router_categories: NotRequired[str]
    r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.

    """
    category: NotRequired[GetModelsCategory]
    r"""Filter models by use case category"""
    supported_parameters: NotRequired[str]
    r"""Filter models by supported parameter (comma-separated)"""
    output_modalities: NotRequired[str]
    r"""Filter models by output modality. Accepts a comma-separated list of modalities (text, image, audio, embeddings) or \"all\" to include all models. Defaults to \"text\"."""
    sort: NotRequired[GetModelsSort]
    r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""
    q: NotRequired[str]
    r"""Free-text search by model name or slug."""
    input_modalities: NotRequired[str]
    r"""Filter models by input modality. Comma-separated list of: text, image, audio, file."""
    context: NotRequired[int]
    r"""Minimum context length (tokens). Models with smaller context are excluded."""
    min_price: NotRequired[Nullable[float]]
    r"""Minimum prompt price in $/M tokens."""
    max_price: NotRequired[Nullable[float]]
    r"""Maximum prompt price in $/M tokens."""
    arch: NotRequired[str]
    r"""Filter models by architecture/model family (e.g. GPT, Claude, Gemini, Llama)."""
    model_authors: NotRequired[str]
    r"""Filter models by the organization that created the model. Comma-separated list of author slugs."""
    providers: NotRequired[str]
    r"""Filter models by hosting provider. Comma-separated list of provider names."""
    distillable: NotRequired[Distillable]
    r"""Filter by distillation capability. \"true\" returns only distillable models, \"false\" excludes them."""
    zdr: NotRequired[Zdr]
    r"""When set to \"true\", return only models with zero data retention endpoints."""
    region: NotRequired[Region]
    r"""Filter to models with endpoints in the given data region. Currently only \"eu\" is supported."""


class GetModelsRequest(BaseModel):
    http_referer: Annotated[
        Optional[str],
        pydantic.Field(alias="HTTP-Referer"),
        FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
    ] = None
    r"""The app identifier should be your app's URL and is used as the primary identifier for rankings.
    This is used to track API usage per application.

    """

    x_open_router_title: Annotated[
        Optional[str],
        pydantic.Field(alias="X-OpenRouter-Title"),
        FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
    ] = None
    r"""The app display name allows you to customize how your app appears in OpenRouter's dashboard.

    """

    x_open_router_categories: Annotated[
        Optional[str],
        pydantic.Field(alias="X-OpenRouter-Categories"),
        FieldMetadata(header=HeaderMetadata(style="simple", explode=False)),
    ] = None
    r"""Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.

    """

    category: Annotated[
        Annotated[
            Optional[GetModelsCategory], PlainValidator(validate_open_enum(False))
        ],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by use case category"""

    supported_parameters: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by supported parameter (comma-separated)"""

    output_modalities: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by output modality. Accepts a comma-separated list of modalities (text, image, audio, embeddings) or \"all\" to include all models. Defaults to \"text\"."""

    sort: Annotated[
        Annotated[Optional[GetModelsSort], PlainValidator(validate_open_enum(False))],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date). When omitted, the existing default ordering is preserved."""

    q: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Free-text search by model name or slug."""

    input_modalities: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by input modality. Comma-separated list of: text, image, audio, file."""

    context: Annotated[
        Optional[int],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Minimum context length (tokens). Models with smaller context are excluded."""

    min_price: Annotated[
        OptionalNullable[float],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = UNSET
    r"""Minimum prompt price in $/M tokens."""

    max_price: Annotated[
        OptionalNullable[float],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = UNSET
    r"""Maximum prompt price in $/M tokens."""

    arch: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by architecture/model family (e.g. GPT, Claude, Gemini, Llama)."""

    model_authors: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by the organization that created the model. Comma-separated list of author slugs."""

    providers: Annotated[
        Optional[str],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter models by hosting provider. Comma-separated list of provider names."""

    distillable: Annotated[
        Annotated[Optional[Distillable], PlainValidator(validate_open_enum(False))],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter by distillation capability. \"true\" returns only distillable models, \"false\" excludes them."""

    zdr: Annotated[
        Optional[Zdr],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""When set to \"true\", return only models with zero data retention endpoints."""

    region: Annotated[
        Optional[Region],
        FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
    ] = None
    r"""Filter to models with endpoints in the given data region. Currently only \"eu\" is supported."""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = [
            "HTTP-Referer",
            "X-OpenRouter-Title",
            "X-OpenRouter-Categories",
            "category",
            "supported_parameters",
            "output_modalities",
            "sort",
            "q",
            "input_modalities",
            "context",
            "min_price",
            "max_price",
            "arch",
            "model_authors",
            "providers",
            "distillable",
            "zdr",
            "region",
        ]
        nullable_fields = ["min_price", "max_price"]
        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