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

from __future__ import annotations
from .toolcallstatus import ToolCallStatus
from openrouter.types import BaseModel, UNSET_SENTINEL
from pydantic import model_serializer
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict


OpenAIResponseFunctionToolCallType = Literal["function_call",]


class OpenAIResponseFunctionToolCallTypedDict(TypedDict):
    arguments: str
    call_id: str
    name: str
    type: OpenAIResponseFunctionToolCallType
    id: NotRequired[str]
    namespace: NotRequired[str]
    r"""Namespace qualifier for tools registered as part of a namespace tool group (e.g. an MCP server)"""
    status: NotRequired[ToolCallStatus]


class OpenAIResponseFunctionToolCall(BaseModel):
    arguments: str

    call_id: str

    name: str

    type: OpenAIResponseFunctionToolCallType

    id: Optional[str] = None

    namespace: Optional[str] = None
    r"""Namespace qualifier for tools registered as part of a namespace tool group (e.g. an MCP server)"""

    status: Optional[ToolCallStatus] = None

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = set(["id", "namespace", "status"])
        serialized = handler(self)
        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k, serialized.get(n))

            if val != UNSET_SENTINEL:
                if val is not None or k not in optional_fields:
                    m[k] = val

        return m