why does my gemini receive dot at start of every session 012940.259 INFO __mp_main__ 📥 Track subscribed: 1 from user-85wozei9 {"pid": 9438, "job_id": "AJ_JnZi3gNcGDDN", "room_id": "RM_cbv8yVHzrJVM"} 2025-12-17 012941,956 - __mp_main__ - INFO - 💬 assistant: Analyzing Input Constraints I've hit a dead end, or perhaps a starting point. The single period input necessitates no action according to the strict rule. The greeting context seems irrelevant. I'm focusing on adhering precisely to the pre-defined constraints, effectively ignoring the usual conversational flow for now. 2025-12-17 012941,957 - __mp_main__ - DEBUG - Skipping thought message: Analyzing Input Constraints I've hit a dead e... 2025-12-17 012941,957 - __mp_main__ - INFO - ✅ Greeting generated successfully 2025-12-17 012941,956 - __mp_main__ - INFO - 💬 assistant: Analyzing Input Constraints I've hit a dead end, or perhaps a starting point. The single period input necessitates no action according to the strict rule. The greeting context seems irrelevant. I'm focusing on adhering precisely to the pre-defined con

Thanks for reaching out, Gaurav. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

- **"transcription_received"**: Called when a transcription is received.
    - Arguments: `segments` (list[TranscriptionSegment]), `participant` (Participant), `publication` (TrackPublication)

tell its implementaion in python. how to i process this event

You're referring to a

transcription_received

signature with

segments

,

participant

,

publication

. That exact event/signature is not documented in the LiveKit Agents docs. Use

user_input_transcribed

or

conversation_item_added

(or the

lk.transcription

text stream) to handle transcriptions in Python. Below is a concise Python pattern showing how to process transcription events using the documented

user_input_transcribed

approach. Adjust handlers to match your app's event dispatch system. 1) Example handler and processing flow

# Example types (replace with your SDK imports)
from typing import List

class TranscriptionSegment:
    def __init__(self, text: str, start: float = None, end: float = None):
        self.text = text
        self.start = start
        self.end = end

# Handler called when transcription arrives
def on_user_input_transcribed(segments: List[TranscriptionSegment], participant, publication):
    # combine segments into one text blob
    full_text = " ".join(s.text for s in segments).strip()
    if not full_text:
        return  # nothing to do

    # example processing: log, save, or add to conversation
    print(f"Transcription from {participant.identity if hasattr(participant,'identity') else participant}: {full_text}")

    # Example: emit a conversation item or forward to agent logic
    conversation_item = {
        "type": "user_message",
        "participant_id": getattr(participant, "sid", None),
        "text": full_text,
        "source": "transcription",
    }
    handle_conversation_item(conversation_item)

def handle_conversation_item(item):
    # implement your app logic: store, run NLU, route to agent, etc.
    print("Processing conversation item:", item)

2) If your code really provides `segments, participant, publication`: • `segments`: treat as list of small portions; join in order, preserving timestamps if needed. • `participant`: use

participant.identity

or

participant.sid

to associate speaker. • `publication`: can identify which track produced the transcription (useful if multiple mics/tracks). 3) Tips • If partial segments arrive, buffer until final flag (if your source provides it). If no final indicator, you can treat each callback as incremental and reconcile later. • Normalize whitespace and punctuation when joining segments. • Persist transcripts with timestamps when you need search/audit. If you want, paste a short snippet of the actual event object your code receives (a sample

segments

structure and

participant

fields) and I’ll give a tailored handler that plugs into your code. Sources: Events and error handling | LiveKit docs | Text and transcriptions | LiveKit docs

how to print lk.transcription

You're asking how to print messages published on the

lk.transcription

text stream. Below is a concise Python example pattern you can adapt to your SDK/event loop. It shows subscribing to the text stream, receiving transcription messages, and printing their content and speaker info. 1) Minimal handler pattern

# Pseudocode / adapt to your LiveKit Python client library

# 1. Connect and join the room (use your client/SDK calls)
client = LiveKitClient(url="<wss://your-livekit>", token="TOKEN")
room = client.join_room("room_name")

# 2. Subscribe to text stream events / messages
def on_text_message(topic: str, message: dict):
    # only handle lk.transcription topic
    if topic != "lk.transcription":
        return

    # message shape may vary; common fields:
    # - text: the transcribed text
    # - participant_id or identity: who spoke
    # - segments/timestamps optional
    text = message.get("text") or message.get("transcript") or ""
    speaker = message.get("participant_id") or message.get("identity") or message.get("speaker")

    print(f"[transcription] speaker={speaker} text={text}")

# Register handler with your client's text message dispatcher
room.on_text_message(on_text_message)

2) If the transcription messages include segments:

def on_text_message(topic: str, message: dict):
    if topic != "lk.transcription":
        return

    segments = message.get("segments") or []
    if segments:
        # join segment texts in order
        text = " ".join(s.get("text", "") for s in segments).strip()
    else:
        text = message.get("text", "")

    speaker = message.get("participant_id") or message.get("identity")
    print(f"[transcription] speaker={speaker} text={text}")

Notes and tips • Use the actual event/callback names from your LiveKit Python client (examples above use

on_text_message

/

room.on_text_message

as placeholders). • Inspect one raw message (print the full

message

dict) to confirm exact field names (some setups use

text

, others

transcript

or

segments

). • If you need code specifically for your client library, paste the snippet where you handle incoming text-stream events and I’ll adapt the handler to that API.