feat: implement OpenAI-compatible Realtime API with authentication and management features
- Added support for public Realtime API, including new routes for managing API keys and handling WebRTC connections. - Introduced RealtimeApiKey model and associated CRUD operations for admin management of API keys. - Implemented authentication mechanisms for API keys and client secrets. - Enhanced environment configuration with new secrets for Realtime API. - Created OpenAIRealtime session management and event processing for real-time interactions. - Updated schemas and settings to accommodate new features and ensure compatibility with existing systems.
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"""Shared ownership of peer connections and their pipeline tasks."""
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from __future__ import annotations
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import asyncio
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from collections.abc import Coroutine
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from typing import Any
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from loguru import logger
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active_connections: set[object] = set()
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pipeline_tasks: set[asyncio.Task[None]] = set()
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connection_tasks: dict[object, asyncio.Task[None]] = {}
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DEFAULT_CLOSE_GRACE_SECONDS = 10.0
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def _consume_pipeline_result(task: asyncio.Task[None], connection: object) -> None:
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pipeline_tasks.discard(task)
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if connection_tasks.get(connection) is task:
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connection_tasks.pop(connection, None)
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try:
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error = task.exception()
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except asyncio.CancelledError:
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logger.info(f"Realtime pipeline 已取消: task={task.get_name()}")
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return
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if error is not None:
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logger.opt(exception=error).error(
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f"Realtime pipeline 异常结束: task={task.get_name()}"
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)
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def start_pipeline_task(
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connection: object,
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coroutine: Coroutine[Any, Any, None],
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*,
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protocol: str,
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) -> asyncio.Task[None]:
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connection_id = str(getattr(connection, "pc_id", id(connection)))
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task = asyncio.create_task(
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coroutine,
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name=f"{protocol}-pipeline:{connection_id}",
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)
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active_connections.add(connection)
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pipeline_tasks.add(task)
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connection_tasks[connection] = task
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task.add_done_callback(
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lambda completed, connection=connection: _consume_pipeline_result(
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completed,
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connection,
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)
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)
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return task
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async def wait_for_pipeline_close(
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task: asyncio.Task[None] | None,
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*,
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connection_id: str,
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timeout: float = DEFAULT_CLOSE_GRACE_SECONDS,
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) -> None:
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if task is None:
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return
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try:
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await asyncio.wait_for(asyncio.shield(task), timeout=timeout)
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return
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except TimeoutError:
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logger.warning(
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f"Realtime pipeline 关闭超过 {timeout:g} 秒,执行取消: "
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f"connection_id={connection_id}"
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)
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except asyncio.CancelledError:
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raise
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except Exception:
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return
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task.cancel()
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done, _pending = await asyncio.wait({task}, timeout=timeout)
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if not done:
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logger.error(f"Realtime pipeline 取消后仍未退出: connection_id={connection_id}")
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async def shutdown_active_sessions(
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*,
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timeout: float = DEFAULT_CLOSE_GRACE_SECONDS,
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) -> None:
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connections = list(active_connections)
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if connections:
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await asyncio.gather(
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*(connection.disconnect() for connection in connections),
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return_exceptions=True,
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)
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active_connections.difference_update(connections)
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tasks = list(pipeline_tasks)
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if not tasks:
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return
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done, pending = await asyncio.wait(tasks, timeout=timeout)
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for task in pending:
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task.cancel()
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cancelled: set[asyncio.Task[None]] = set()
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if pending:
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cancelled, stuck = await asyncio.wait(pending, timeout=timeout)
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if stuck:
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logger.error(f"应用关闭时仍有 {len(stuck)} 个 Realtime pipeline 未退出")
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logger.info(
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f"Realtime 会话清理完成: normal={len(done)} cancelled={len(cancelled)}"
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)
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