chore: import upstream snapshot with attribution

2026-07-13 12:39:17 +08:00
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+---
+search:
+  exclude: true
+---
+# クイックスタート
+
+## 前提条件
+
+Agents SDK の基本的な[クイックスタート手順](../quickstart.md)に従い、仮想環境をセットアップしていることを確認してください。次に、SDK のオプションの音声依存パッケージをインストールします。
+
+```bash
+pip install 'openai-agents[voice]'
+```
+
+## 基本概念
+
+知っておくべき主要な概念は、3 ステップのプロセスである [`VoicePipeline`][agents.voice.pipeline.VoicePipeline] です。
+
+1. 音声テキスト変換モデルを実行し、音声をテキストに変換します。
+2. 通常はエージェント型ワークフローであるコードを実行し、結果を生成します。
+3. テキスト音声変換モデルを実行し、結果のテキストを音声に戻します。
+
+```mermaid
+graph LR
+    %% Input
+    A["🎤 Audio Input"]
+
+    %% Voice Pipeline
+    subgraph Voice_Pipeline [Voice Pipeline]
+        direction TB
+        B["Transcribe (speech-to-text)"]
+        C["Your Code"]:::highlight
+        D["Text-to-speech"]
+        B --> C --> D
+    end
+
+    %% Output
+    E["🎧 Audio Output"]
+
+    %% Flow
+    A --> Voice_Pipeline
+    Voice_Pipeline --> E
+
+    %% Custom styling
+    classDef highlight fill:#ffcc66,stroke:#333,stroke-width:1px,font-weight:700;
+
+```
+
+## エージェント
+
+まず、いくつかのエージェントをセットアップします。この SDK でエージェントを構築した経験があれば、馴染みのある作業でしょう。ここでは、2 つのエージェント、1 つのハンドオフ、1 つのツールを用意します。
+
+```python
+import asyncio
+import random
+
+from agents import (
+    Agent,
+    function_tool,
+)
+from agents.extensions.handoff_prompt import prompt_with_handoff_instructions
+
+
+
+@function_tool
+def get_weather(city: str) -> str:
+    """Get the weather for a given city."""
+    print(f"[debug] get_weather called with city: {city}")
+    choices = ["sunny", "cloudy", "rainy", "snowy"]
+    return f"The weather in {city} is {random.choice(choices)}."
+
+
+spanish_agent = Agent(
+    name="Spanish",
+    handoff_description="A Spanish-speaking agent.",
+    instructions=prompt_with_handoff_instructions(
+        "You're speaking to a human, so be polite and concise. Speak in Spanish.",
+    ),
+    model="gpt-5.6-sol",
+)
+
+agent = Agent(
+    name="Assistant",
+    instructions=prompt_with_handoff_instructions(
+        "You're speaking to a human, so be polite and concise. If the user speaks in Spanish, hand off to the Spanish agent.",
+    ),
+    model="gpt-5.6-sol",
+    handoffs=[spanish_agent],
+    tools=[get_weather],
+)
+```
+
+## 音声パイプライン
+
+ワークフローとして [`SingleAgentVoiceWorkflow`][agents.voice.workflow.SingleAgentVoiceWorkflow] を使用し、シンプルな音声パイプラインをセットアップします。
+
+```python
+from agents.voice import SingleAgentVoiceWorkflow, VoicePipeline
+pipeline = VoicePipeline(workflow=SingleAgentVoiceWorkflow(agent))
+```
+
+## パイプラインの実行
+
+```python
+import numpy as np
+import sounddevice as sd
+from agents.voice import AudioInput
+
+# For simplicity, we'll just create 3 seconds of silence
+# In reality, you'd get microphone data
+buffer = np.zeros(24000 * 3, dtype=np.int16)
+audio_input = AudioInput(buffer=buffer)
+
+result = await pipeline.run(audio_input)
+
+# Create an audio player using `sounddevice`
+player = sd.OutputStream(samplerate=24000, channels=1, dtype=np.int16)
+player.start()
+
+# Play the audio stream as it comes in
+async for event in result.stream():
+    if event.type == "voice_stream_event_audio":
+        player.write(event.data)
+
+```
+
+## 全体の統合
+
+```python
+import asyncio
+import random
+
+import numpy as np
+import sounddevice as sd
+
+from agents import (
+    Agent,
+    function_tool,
+    set_tracing_disabled,
+)
+from agents.voice import (
+    AudioInput,
+    SingleAgentVoiceWorkflow,
+    VoicePipeline,
+)
+from agents.extensions.handoff_prompt import prompt_with_handoff_instructions
+
+
+@function_tool
+def get_weather(city: str) -> str:
+    """Get the weather for a given city."""
+    print(f"[debug] get_weather called with city: {city}")
+    choices = ["sunny", "cloudy", "rainy", "snowy"]
+    return f"The weather in {city} is {random.choice(choices)}."
+
+
+spanish_agent = Agent(
+    name="Spanish",
+    handoff_description="A Spanish-speaking agent.",
+    instructions=prompt_with_handoff_instructions(
+        "You're speaking to a human, so be polite and concise. Speak in Spanish.",
+    ),
+    model="gpt-5.6-sol",
+)
+
+agent = Agent(
+    name="Assistant",
+    instructions=prompt_with_handoff_instructions(
+        "You're speaking to a human, so be polite and concise. If the user speaks in Spanish, hand off to the Spanish agent.",
+    ),
+    model="gpt-5.6-sol",
+    handoffs=[spanish_agent],
+    tools=[get_weather],
+)
+
+
+async def main():
+    pipeline = VoicePipeline(workflow=SingleAgentVoiceWorkflow(agent))
+    buffer = np.zeros(24000 * 3, dtype=np.int16)
+    audio_input = AudioInput(buffer=buffer)
+
+    result = await pipeline.run(audio_input)
+
+    # Create an audio player using `sounddevice`
+    player = sd.OutputStream(samplerate=24000, channels=1, dtype=np.int16)
+    player.start()
+
+    # Play the audio stream as it comes in
+    async for event in result.stream():
+        if event.type == "voice_stream_event_audio":
+            player.write(event.data)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+この例を実行すると、エージェントが話しかけてきます！自分でエージェントに話しかけられるデモについては、[examples/voice/static](https://github.com/openai/openai-agents-python/tree/main/examples/voice/static) の例をご覧ください。