# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# pyformat: disable

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

from __future__ import annotations
from .. import BaseModel, UNSET_SENTINEL, UnrecognizedStr
from ...utils import validate_const
from .thinkingsummaries import ThinkingSummaries
import pydantic
from pydantic import model_serializer
from pydantic.functional_validators import AfterValidator
from typing import Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypedDict


Visualization = Union[
    Literal[
        "off",
        "auto",
    ],
    UnrecognizedStr,
]
r"""Whether to include visualizations in the response."""


class DeepResearchAgentConfigParam(TypedDict):
    r"""Configuration for the Deep Research agent."""

    collaborative_planning: NotRequired[bool]
    r"""Enables human-in-the-loop planning for the Deep Research agent. If set to
    true, the Deep Research agent will provide a research plan in its response.
    The agent will then proceed only if the user confirms the plan in the next
    turn.
    """
    enable_bigquery_tool: NotRequired[bool]
    r"""Enables bigquery tool for the Deep Research agent."""
    thinking_summaries: NotRequired[ThinkingSummaries]
    type: Literal["deep-research"]
    visualization: NotRequired[Visualization]
    r"""Whether to include visualizations in the response."""


class DeepResearchAgentConfig(BaseModel):
    r"""Configuration for the Deep Research agent."""

    collaborative_planning: Optional[bool] = None
    r"""Enables human-in-the-loop planning for the Deep Research agent. If set to
    true, the Deep Research agent will provide a research plan in its response.
    The agent will then proceed only if the user confirms the plan in the next
    turn.
    """

    enable_bigquery_tool: Optional[bool] = None
    r"""Enables bigquery tool for the Deep Research agent."""

    thinking_summaries: Optional[ThinkingSummaries] = None

    type: Annotated[
        Annotated[
            Literal["deep-research"], AfterValidator(validate_const("deep-research"))
        ],
        pydantic.Field(alias="type"),
    ] = "deep-research"

    visualization: Optional[Visualization] = None
    r"""Whether to include visualizations in the response."""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = set(
            [
                "collaborative_planning",
                "enable_bigquery_tool",
                "thinking_summaries",
                "visualization",
            ]
        )
        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


try:
    DeepResearchAgentConfig.model_rebuild()
except NameError:
    pass
