Using Deepgram Conversational STT / Flux (Python SDK)

Turn-aware streaming STT at /v2/listen — optimized for conversational audio (end-of-turn detection, eager EOT, barge-in scenarios).

When to use this product

• You're building a conversational UI and need explicit turn boundaries.
• You want Flux models (optimized for human-to-human or human-to-agent conversation).
• You want lower latency turn signals than v1 utterance_end.

Use a different skill when:

• You want general-purpose transcription (captions, batch, non-conversational) → deepgram-python-speech-to-text.
• You want a full interactive agent (STT + LLM + TTS) → deepgram-python-voice-agent.
• You want analytics (summarize/sentiment) → deepgram-python-audio-intelligence.

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