Call d7e07cd0d732768a10d341d7ac411a7a

Latency over 0 of 0 timed turns. Responsiveness is the felt wait — time from your last word to the bot's first audio; it excludes the endpointing window (the system confirming you stopped) and any mid-thought pause on a merged turn. Total is the VAD-anchored physical wait from true silence. Both are server-side proxies (BotStartedSpeakingFrame), not phone-speaker playback.

Hello! I'm your assistant, how can I help you today?

Turns

{
  "ambience": {
    "enabled": false,
    "style": "phone_room",
    "volume": 0.07
  },
  "llm": {
    "enable_speculative_llm": false,
    "fallback_model": "gemini-2.5-flash",
    "frequency_penalty": null,
    "max_tokens": 160,
    "model": "gemma-4-31b",
    "presence_penalty": null,
    "provider": "cerebras",
    "request_timeout_s": 7.0,
    "request_timeout_seconds": 10.0,
    "temperature": 0.7,
    "top_p": null
  },
  "memory": {
    "enable_running_summary_after_turn": 10,
    "max_memory_block_tokens": 600,
    "max_pinned_facts": 12,
    "max_recall_snippets": 2,
    "max_summary_tokens": 250,
    "recall_min_overlap": 2,
    "recall_only_when_user_asks": true,
    "recent_turn_pairs": 6,
    "summary_update_every_turns": 5
  },
  "noise_filter": {
    "enabled": false,
    "provider": "rnnoise"
  },
  "ops": {
    "debug_log_level": "INFO"
  },
  "prompt": {
    "greeting_prompt": "Generate a short, warm English opening greeting for a phone call. The assistant should introduce itself briefly and invite the user to speak. Keep it under one sentence.",
    "system_prompt": "You are a helpful, friendly assistant on a live phone call. Keep replies natural, concise, and genuinely useful. Because this is a phone call, keep answers short \u2014 usually 1-2 sentences \u2014 and ask one question at a time. Give a longer answer only when the caller explicitly asks for detail."
  },
  "simple_bot": false,
  "stability": {
    "idle_s": 45,
    "max_call_s": 360,
    "watchdog_enabled": true
  },
  "stt": {
    "barge_in_enabled": false,
    "barge_in_min_words": 3,
    "barge_in_mode": "min_words",
    "defer_connect_on_start": true,
    "eager_eot_threshold": null,
    "enable_eager_eot": false,
    "eot_threshold": 0.65,
    "eot_timeout_ms": 700,
    "language_hints": [
      "en",
      "hi"
    ],
    "model": "flux-general-multi",
    "overlap_note_enabled": true,
    "provider": "sarvam",
    "sarvam_input_codec": "wav",
    "sarvam_keepalive_timeout_s": 8.0,
    "sarvam_mode": "codemix",
    "sarvam_model": "saaras:v3",
    "sarvam_negative_frames_count": null,
    "sarvam_negative_frames_window": null,
    "sarvam_start_speech_volume_threshold": null,
    "smart_turn_enabled": false,
    "smart_turn_stop_secs": 3.0,
    "turn_stop_timeout_ms": 500,
    "user_speech_timeout_ms": 250,
    "vad_stop_ms": 400
  },
  "tts": {
    "default_language": "en-IN",
    "delivery_granularity": "sentence",
    "inworld_delivery_mode": "CREATIVE",
    "inworld_language": "AUTO",
    "inworld_model": "inworld-tts-2",
    "inworld_speaking_rate": 0.99,
    "inworld_temperature": null,
    "inworld_voice": "default-scasxjfgwqxkrsqb7dcg_q__design-voice-8892c0f0",
    "language_mode": "per_turn",
    "model": "sonic-3.5",
    "output_gain_db": 0.0,
    "provider": "sarvam",
    "sarvam_max_chunk_length": 400,
    "sarvam_min_buffer_size": 30,
    "sarvam_model": "bulbul:v3",
    "sarvam_pace": 1.0,
    "sarvam_temperature": 0.3,
    "sarvam_voice": "priya",
    "voice_id": ""
  },
  "version": 1,
  "workflow": {
    "context": {},
    "definition": null,
    "enabled": false,
    "start_language": ""
  }
}