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examples/01_simple_agent_example/README.md

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@@ -12,7 +12,7 @@ This example shows you how to build a basic video AI agent using [Vision Agents]
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- Python 3.13 or higher
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- API keys for:
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- [OpenAI](https://openai.com) (for the LLM)
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- [Cartesia](https://cartesia.ai/) (for text-to-speech)
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- [Elevenlabs](https://elevenlabs.io/) (for text-to-speech)
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- [Deepgram](https://deepgram.com/) (for speech-to-text)
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- [Stream](https://getstream.io/) (for video/audio infrastructure)
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- [Smart Turn](https://fal.ai/models/fal-ai/smart-turn) (for turn detection)
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2. Create a `.env` file with your API keys:
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```
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OPENAI_API_KEY=your_openai_key
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CARTESIA_API_KEY=your_cartesia_key
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ELEVENLABS_API_KEY=your_11labs_key
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DEEPGRAM_API_KEY=your_deepgram_key
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STREAM_API_KEY=your_stream_key
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STREAM_API_SECRET=your_stream_secret
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FAL_KEY=your_fal_key
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```
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## Running the Example
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agent_user=User(name="My happy AI friend", id="agent"),
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instructions="You're a video AI assistant...",
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llm=openai.LLM(model="gpt-4o-mini"),
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tts=cartesia.TTS(),
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tts=elevenlabs.TTS(),
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stt=deepgram.STT(),
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turn_detection=smart_turn.TurnDetection(),
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)
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You can swap out any component:
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- Try `openai.Realtime()` for lower latency
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- Use `gemini.Realtime()` for Google's model
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- Switch TTS providers to `cartesia.TTS()` or `kokoro.TTS()`
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- Switch TTS providers to `elevenlabs.TTS()` or `kokoro.TTS()`
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### Add Processors
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