from __future__ import annotations

from collections.abc import Mapping
from typing import Any, Literal, TypeAlias

from openai.types.realtime.realtime_audio_formats import (
    RealtimeAudioFormats as OpenAIRealtimeAudioFormats,
)
from typing_extensions import NotRequired, TypedDict

from agents.prompts import Prompt

from ..guardrail import OutputGuardrail
from ..handoffs import Handoff
from ..model_settings import ToolChoice
from ..run_config import ToolErrorFormatter
from ..tool import Tool

RealtimeModelName: TypeAlias = (
    Literal[
        "gpt-realtime",
        "gpt-realtime-1.5",
        "gpt-realtime-2",
        "gpt-realtime-2025-08-28",
        "gpt-4o-realtime-preview",
        "gpt-4o-realtime-preview-2024-10-01",
        "gpt-4o-realtime-preview-2024-12-17",
        "gpt-4o-realtime-preview-2025-06-03",
        "gpt-4o-mini-realtime-preview",
        "gpt-4o-mini-realtime-preview-2024-12-17",
        "gpt-realtime-mini",
        "gpt-realtime-mini-2025-10-06",
        "gpt-realtime-mini-2025-12-15",
    ]
    | str
)
"""The name of a realtime model."""


RealtimeAudioFormat: TypeAlias = (
    Literal["pcm16", "g711_ulaw", "g711_alaw"]
    | str
    | Mapping[str, Any]
    | OpenAIRealtimeAudioFormats
)
"""The audio format for realtime audio streams."""


class RealtimeCustomVoice(TypedDict):
    """A custom Realtime voice object."""

    id: str
    """The custom voice ID."""


RealtimeVoice: TypeAlias = str | RealtimeCustomVoice | Mapping[str, Any]
"""The voice to use for realtime audio output."""


RealtimeReasoningEffort: TypeAlias = Literal["minimal", "low", "medium", "high", "xhigh"] | str
"""The reasoning effort for realtime model responses."""


class RealtimeClientMessage(TypedDict):
    """A raw message to be sent to the model."""

    type: str  # explicitly required
    """The type of the message."""

    other_data: NotRequired[dict[str, Any]]
    """Merged into the message body."""


class RealtimeInputAudioTranscriptionConfig(TypedDict):
    """Configuration for audio transcription in realtime sessions."""

    language: NotRequired[str]
    """The language code for transcription."""

    model: NotRequired[Literal["gpt-4o-transcribe", "gpt-4o-mini-transcribe", "whisper-1"] | str]
    """The transcription model to use."""

    prompt: NotRequired[str]
    """An optional prompt to guide transcription."""


class RealtimeInputAudioNoiseReductionConfig(TypedDict):
    """Noise reduction configuration for input audio."""

    type: NotRequired[Literal["near_field", "far_field"]]
    """Noise reduction mode to apply to input audio."""


class RealtimeTurnDetectionConfig(TypedDict):
    """Turn detection config. Allows extra vendor keys if needed."""

    type: NotRequired[Literal["semantic_vad", "server_vad"]]
    """The type of voice activity detection to use."""

    create_response: NotRequired[bool]
    """Whether to create a response when a turn is detected."""

    eagerness: NotRequired[Literal["auto", "low", "medium", "high"]]
    """How eagerly to detect turn boundaries."""

    interrupt_response: NotRequired[bool]
    """Whether to allow interrupting the assistant's response."""

    prefix_padding_ms: NotRequired[int]
    """Padding time in milliseconds before turn detection."""

    silence_duration_ms: NotRequired[int]
    """Duration of silence in milliseconds to trigger turn detection."""

    threshold: NotRequired[float]
    """The threshold for voice activity detection."""

    idle_timeout_ms: NotRequired[int]
    """Threshold for server-vad to trigger a response if the user is idle for this duration."""

    model_version: NotRequired[str]
    """Optional backend-specific VAD model identifier."""


class RealtimeAudioInputConfig(TypedDict, total=False):
    """Configuration for audio input in realtime sessions."""

    format: RealtimeAudioFormat | OpenAIRealtimeAudioFormats
    noise_reduction: RealtimeInputAudioNoiseReductionConfig | None
    transcription: RealtimeInputAudioTranscriptionConfig
    turn_detection: RealtimeTurnDetectionConfig


class RealtimeAudioOutputConfig(TypedDict, total=False):
    """Configuration for audio output in realtime sessions."""

    format: RealtimeAudioFormat | OpenAIRealtimeAudioFormats
    voice: RealtimeVoice
    speed: float


class RealtimeAudioConfig(TypedDict, total=False):
    """Audio configuration for realtime sessions."""

    input: RealtimeAudioInputConfig
    output: RealtimeAudioOutputConfig


class RealtimeReasoningConfig(TypedDict, total=False):
    """Reasoning configuration for realtime sessions."""

    effort: RealtimeReasoningEffort
    """The reasoning effort to use for realtime model responses."""


class RealtimeSessionModelSettings(TypedDict):
    """Model settings for a realtime model session."""

    model_name: NotRequired[RealtimeModelName]
    """The name of the realtime model to use."""

    instructions: NotRequired[str]
    """System instructions for the model."""

    prompt: NotRequired[Prompt]
    """The prompt to use for the model."""

    modalities: NotRequired[list[Literal["text", "audio"]]]
    """The modalities the model should support."""

    output_modalities: NotRequired[list[Literal["text", "audio"]]]
    """The output modalities the model should support."""

    audio: NotRequired[RealtimeAudioConfig]
    """The audio configuration for the session."""

    voice: NotRequired[RealtimeVoice]
    """The voice to use for audio output."""

    speed: NotRequired[float]
    """The speed of the model's responses."""

    max_output_tokens: NotRequired[int | Literal["inf"]]
    """Maximum number of output tokens for a single assistant response, inclusive of tool calls.

    Provide an integer between 1 and 4096 to limit output tokens, or ``"inf"`` for the maximum
    available tokens for a given model. Defaults to ``"inf"`` server-side.
    """

    input_audio_format: NotRequired[RealtimeAudioFormat | OpenAIRealtimeAudioFormats]
    """The format for input audio streams."""

    output_audio_format: NotRequired[RealtimeAudioFormat | OpenAIRealtimeAudioFormats]
    """The format for output audio streams."""

    input_audio_transcription: NotRequired[RealtimeInputAudioTranscriptionConfig]
    """Configuration for transcribing input audio."""

    input_audio_noise_reduction: NotRequired[RealtimeInputAudioNoiseReductionConfig | None]
    """Noise reduction configuration for input audio."""

    turn_detection: NotRequired[RealtimeTurnDetectionConfig]
    """Configuration for detecting conversation turns."""

    tool_choice: NotRequired[ToolChoice]
    """How the model should choose which tools to call."""

    parallel_tool_calls: NotRequired[bool]
    """Whether the model may make parallel tool calls."""

    reasoning: NotRequired[RealtimeReasoningConfig]
    """Reasoning configuration for realtime model responses."""

    tools: NotRequired[list[Tool]]
    """List of tools available to the model."""

    handoffs: NotRequired[list[Handoff]]
    """List of handoff configurations."""

    tracing: NotRequired[RealtimeModelTracingConfig | None]
    """Configuration for request tracing."""


class RealtimeGuardrailsSettings(TypedDict):
    """Settings for output guardrails in realtime sessions."""

    debounce_text_length: NotRequired[int]
    """
    The minimum number of characters to accumulate before running guardrails on transcript
    deltas. Defaults to 100. Guardrails run every time the accumulated text reaches
    1x, 2x, 3x, etc. times this threshold.
    """


class RealtimeModelTracingConfig(TypedDict):
    """Configuration for tracing in realtime model sessions."""

    workflow_name: NotRequired[str]
    """The workflow name to use for tracing."""

    group_id: NotRequired[str]
    """A group identifier to use for tracing, to link multiple traces together."""

    metadata: NotRequired[dict[str, Any]]
    """Additional metadata to include with the trace."""


class RealtimeRunConfig(TypedDict):
    """Configuration for running a realtime agent session."""

    model_settings: NotRequired[RealtimeSessionModelSettings]
    """Settings for the realtime model session."""

    output_guardrails: NotRequired[list[OutputGuardrail[Any]]]
    """List of output guardrails to run on the agent's responses."""

    guardrails_settings: NotRequired[RealtimeGuardrailsSettings]
    """Settings for guardrail execution."""

    tracing_disabled: NotRequired[bool]
    """Whether tracing is disabled for this run."""

    async_tool_calls: NotRequired[bool]
    """Whether function tool calls should run asynchronously. Defaults to True."""

    tool_error_formatter: NotRequired[ToolErrorFormatter]
    """Optional callback that formats tool error messages returned to the model."""

    # TODO (rm) Add history audio storage config


class RealtimeUserInputText(TypedDict):
    """A text input from the user."""

    type: Literal["input_text"]
    """The type identifier for text input."""

    text: str
    """The text content from the user."""


class RealtimeUserInputImage(TypedDict, total=False):
    """An image input from the user (Realtime)."""

    type: Literal["input_image"]
    image_url: str
    detail: NotRequired[Literal["auto", "low", "high"] | str]


class RealtimeUserInputMessage(TypedDict):
    """A message input from the user."""

    type: Literal["message"]
    """The type identifier for message inputs."""

    role: Literal["user"]
    """The role identifier for user messages."""

    content: list[RealtimeUserInputText | RealtimeUserInputImage]
    """List of content items (text and image) in the message."""


RealtimeUserInput: TypeAlias = str | RealtimeUserInputMessage
"""User input that can be a string or structured message."""
