roomkit 0.4.5

Pure async Python library for multi-channel conversations

RoomKit

Pure async Python 3.12+ library for multi-channel conversations.

RoomKit gives you a single abstraction — the room — to orchestrate messages across SMS, RCS, Email, WhatsApp, Messenger, Voice, WebSocket, HTTP webhooks, and AI channels. Events flow in through any channel, get validated by hooks, and broadcast to every other channel in the room with automatic content transcoding.

Inbound ──► Hook pipeline ──► Store ──► Broadcast to all channels
                                             │
        ┌──────────┬──────────┬────────┬─────┼─────┬────────┬────────┬────────┐
        ▼          ▼          ▼        ▼     ▼     ▼        ▼        ▼        ▼
     SMS/RCS   WhatsApp    Email    Teams  Msgr   Voice     WS       AI    Webhook

Website: www.roomkit.live | Docs: www.roomkit.live/docs

Quickstart

pip install roomkit

import asyncio
from roomkit import (
    ChannelCategory, HookResult, HookTrigger,
    InboundMessage, MockAIProvider, RoomContext,
    RoomEvent, RoomKit, TextContent, WebSocketChannel,
)
from roomkit.channels.ai import AIChannel

async def main():
    kit = RoomKit()

    # Register channels
    ws = WebSocketChannel("ws-user")
    ai = AIChannel("ai-bot", provider=MockAIProvider(responses=["Hello!"]))
    kit.register_channel(ws)
    kit.register_channel(ai)

    # Create a room and attach channels
    await kit.create_room(room_id="room-1")
    await kit.attach_channel("room-1", "ws-user")
    await kit.attach_channel("room-1", "ai-bot", category=ChannelCategory.INTELLIGENCE)

    # Add a broadcast hook
    @kit.hook(HookTrigger.BEFORE_BROADCAST, name="filter")
    async def block_spam(event: RoomEvent, ctx: RoomContext) -> HookResult:
        if isinstance(event.content, TextContent) and "spam" in event.content.body:
            return HookResult.block("spam detected")
        return HookResult.allow()

    # Process a message — it gets stored, broadcast, and the AI responds
    result = await kit.process_inbound(
        InboundMessage(channel_id="ws-user", sender_id="user-1", content=TextContent(body="Hi"))
    )
    print(result.blocked)  # False

    # View conversation history
    for event in await kit.store.list_events("room-1"):
        print(f"[{event.source.channel_id}] {event.content.body}")

asyncio.run(main())

More examples in examples/.

Installation

RoomKit's core has a single dependency (pydantic). Providers that call external APIs need optional extras:

pip install roomkit                    # core only
pip install roomkit[httpx]             # HTTP-based providers (SMS, RCS, Email)
pip install roomkit[websocket]         # WebSocket event source
pip install roomkit[anthropic]         # Anthropic Claude AI
pip install roomkit[openai]            # OpenAI GPT
pip install roomkit[gemini]            # Google Gemini AI
pip install roomkit[teams]             # Microsoft Teams (Bot Framework)
pip install roomkit[neonize]           # WhatsApp Personal (neonize)
pip install roomkit[gradium]            # Gradium STT + TTS
pip install roomkit[fastrtc]           # FastRTC voice backend
pip install roomkit[realtime-gemini]   # Gemini Live speech-to-speech
pip install roomkit[realtime-openai]   # OpenAI Realtime speech-to-speech
pip install roomkit[providers]         # all transport providers
pip install roomkit[all]               # everything

For development:

git clone https://github.com/sboily/roomkit.git
cd roomkit
uv sync --extra dev
make all                               # lint + typecheck + test

Requires Python 3.12+.

Channels

Each channel is a thin adapter between the room and an external transport. All channels implement the same interface: handle_inbound() converts a provider message into a RoomEvent, and deliver() pushes events out.

Channel	Type	Media	Notes
SMS	sms	text, MMS	Max 1600 chars, delivery receipts
RCS	rcs	text, rich, media	Rich cards, carousels, suggested actions
Email	email	text, rich, media	Threading support
WebSocket	websocket	text, rich, media	Real-time with typing, reactions
Messenger	messenger	text, rich, media, template	Buttons, quick replies
Teams	teams	text, rich	Bot Framework SDK, proactive messaging, 28K chars
WhatsApp	whatsapp	text, rich, media, location, template	Buttons, templates
WhatsApp Personal	whatsapp_personal	text, media, audio, location	Typing indicators, read receipts, neonize
Voice	voice	audio, text	STT/TTS, audio pipeline, barge-in, FastRTC streaming
Realtime Voice	realtime_voice	audio, text	Speech-to-speech AI (Gemini Live, OpenAI Realtime)
HTTP	webhook	text, rich	Generic webhook for any system
AI	ai	text, rich	Intelligence layer (not transport)

Channels have two categories: transport (delivers to external systems) and intelligence (generates content, like AI). The Voice channel bridges real-time audio with the room-based conversation model.

Providers

Providers handle the actual API calls. Every provider has a mock counterpart for testing.

SMS Providers

Provider	Features	Dependency
TwilioSMSProvider	SMS, MMS, delivery status	roomkit[httpx]
TelnyxSMSProvider	SMS, MMS, delivery status	roomkit[httpx]
SinchSMSProvider	SMS, delivery status	roomkit[httpx]
VoiceMeUpSMSProvider	SMS, MMS aggregation	roomkit[httpx]

RCS Providers

Provider	Features	Dependency
TwilioRCSProvider	Rich cards, carousels, actions	roomkit[httpx]
TelnyxRCSProvider	Rich cards, carousels, actions	roomkit[httpx]

AI Providers

Provider	Features	Dependency
AnthropicAIProvider	Claude, vision, tools	roomkit[anthropic]
OpenAIAIProvider	GPT-4, vision, tools	roomkit[openai]
GeminiAIProvider	Gemini, vision, tools	roomkit[gemini]
create_vllm_provider	Local LLM, OpenAI-compatible	roomkit[vllm]

Voice Providers

Provider	Role	Dependency
DeepgramSTTProvider	Speech-to-text	roomkit[httpx]
ElevenLabsTTSProvider	Text-to-speech	roomkit[httpx]
GradiumSTTProvider	Speech-to-text	roomkit[gradium]
GradiumTTSProvider	Text-to-speech	roomkit[gradium]
SherpaOnnxSTTProvider	Local STT (transducer/Whisper)	roomkit[sherpa-onnx]
SherpaOnnxTTSProvider	Local TTS (VITS/Piper)	roomkit[sherpa-onnx]
FastRTCVoiceBackend	WebRTC audio transport	roomkit[fastrtc]

Audio Pipeline

The audio pipeline sits between the voice backend (transport) and STT, processing raw audio through pluggable inbound and outbound chains:

Inbound:   Backend → [Resampler] → [Recorder] → [DTMF] → [AEC] → [AGC] → [Denoiser] → VAD → [Diarization] → STT
Outbound:  TTS → [PostProcessors] → [Recorder] → AEC.feed_reference → [Resampler] → Backend

AEC and AGC stages are automatically skipped when the backend declares NATIVE_AEC / NATIVE_AGC capabilities.

Component	Role	Required
VADProvider	Voice activity detection (speech start/end)	No
DenoiserProvider	Noise reduction before VAD	No
DiarizationProvider	Speaker identification	No
AECProvider	Acoustic Echo Cancellation	No
AGCProvider	Automatic Gain Control	No
DTMFDetector	DTMF tone detection (parallel with main chain)	No
AudioRecorder	Record inbound/outbound audio	No
AudioPostProcessor	Custom outbound frame transforms	No
TurnDetector	Post-STT turn completion detection	No
BackchannelDetector	Distinguish interruptions from acknowledgements	No

All stages are optional — configure what you need:

from roomkit import VoiceChannel
from roomkit.voice.pipeline import AudioPipelineConfig, VADConfig
from roomkit.voice.interruption import InterruptionConfig, InterruptionStrategy

pipeline = AudioPipelineConfig(
    vad=my_vad,
    denoiser=my_denoiser,
    diarization=my_diarizer,
    aec=my_aec,
    agc=my_agc,
    dtmf=my_dtmf_detector,
    recorder=my_recorder,
    recording_config=my_recording_config,
    turn_detector=my_turn_detector,
    vad_config=VADConfig(silence_threshold_ms=500),
)
voice = VoiceChannel("voice", stt=stt, tts=tts, backend=backend, pipeline=pipeline)

# Realtime voice: denoiser + diarization only (AI provider handles VAD)
preprocess = AudioPipelineConfig(denoiser=my_denoiser, diarization=my_diarizer)

Interruption strategies control how user speech during TTS playback is handled:

voice = VoiceChannel(
    "voice", stt=stt, tts=tts, backend=backend, pipeline=pipeline,
    interruption=InterruptionConfig(strategy=InterruptionStrategy.CONFIRMED, min_speech_ms=300),
)

Four strategies: IMMEDIATE (interrupt on any speech), CONFIRMED (wait for sustained speech), SEMANTIC (use backchannel detection to ignore "uh-huh"), DISABLED (ignore speech during playback).

The pipeline fires events that the hook system can intercept: ON_SPEECH_START, ON_SPEECH_END, ON_VAD_SILENCE, ON_VAD_AUDIO_LEVEL, ON_SPEAKER_CHANGE, ON_DTMF, ON_TURN_COMPLETE, ON_TURN_INCOMPLETE, ON_BACKCHANNEL, ON_RECORDING_STARTED, ON_RECORDING_STOPPED. See examples/voice_pipeline.py for a complete example.

Realtime Voice (Speech-to-Speech)

Component	Role	Dependency
GeminiLiveProvider	Speech-to-speech AI provider	roomkit[realtime-gemini]
OpenAIRealtimeProvider	Speech-to-speech AI provider	roomkit[realtime-openai]
WebSocketRealtimeTransport	Browser-to-server audio (WebSocket)	roomkit[websocket]
FastRTCRealtimeTransport	Browser-to-server audio (WebRTC)	roomkit[fastrtc]

Teams Providers

Provider	Features	Dependency
BotFrameworkTeamsProvider	Proactive messaging, conversation references, bot mention detection	roomkit[teams]

WhatsApp Personal Providers

Provider	Features	Dependency
NeonizeWhatsAppProvider	Multidevice, typing indicators, read receipts, media	roomkit[neonize]

Other Providers

Provider	Channel	Dependency
ElasticEmailProvider	Email	roomkit[httpx]
FacebookMessengerProvider	Messenger	roomkit[httpx]
WebhookHTTPProvider	HTTP	roomkit[httpx]

Each HTTP-based provider lazy-imports httpx so the core library stays lightweight.

Hooks

Hooks intercept events at specific points in the pipeline. Sync hooks can block or modify events; async hooks run after the fact for logging or side effects.

@kit.hook(HookTrigger.BEFORE_BROADCAST, name="compliance_check")
async def check(event: RoomEvent, ctx: RoomContext) -> HookResult:
    # Block, allow, or modify the event
    return HookResult.allow()

Triggers: BEFORE_BROADCAST, AFTER_BROADCAST, ON_ROOM_CREATED, ON_ROOM_PAUSED, ON_ROOM_CLOSED, ON_CHANNEL_ATTACHED, ON_CHANNEL_DETACHED, ON_CHANNEL_MUTED, ON_CHANNEL_UNMUTED, ON_IDENTITY_AMBIGUOUS, ON_IDENTITY_UNKNOWN, ON_PARTICIPANT_IDENTIFIED, ON_TASK_CREATED, ON_DELIVERY_STATUS, ON_ERROR, ON_SPEECH_START, ON_SPEECH_END, ON_TRANSCRIPTION, BEFORE_TTS, AFTER_TTS, ON_TTS_CANCELLED, ON_BARGE_IN, ON_VAD_SILENCE, ON_VAD_AUDIO_LEVEL, ON_SPEAKER_CHANGE, ON_DTMF, ON_TURN_COMPLETE, ON_TURN_INCOMPLETE, ON_BACKCHANNEL, ON_RECORDING_STARTED, ON_RECORDING_STOPPED, ON_REALTIME_TOOL_CALL, ON_REALTIME_TEXT_INJECTED, ON_OBSERVATION.

Hooks support filtering by channel type, channel ID, and direction:

@kit.hook(
    HookTrigger.BEFORE_BROADCAST,
    channel_types={ChannelType.SMS},
    directions={ChannelDirection.INBOUND},
)
async def sms_only_hook(event, ctx):
    return HookResult.allow()

Hooks can also inject side-effect events, create tasks, and record observations.

AI Integration

Per-Room AI Configuration

Configure AI behavior per room with custom system prompts, temperature, and tools:

from roomkit import AIConfig, AITool

room = await kit.create_room(
    room_id="support-room",
    ai_config=AIConfig(
        system_prompt="You are a helpful support agent.",
        temperature=0.7,
        tools=[
            AITool(
                name="lookup_order",
                description="Look up order status",
                parameters={"type": "object", "properties": {"order_id": {"type": "string"}}}
            )
        ],
    ),
)

Function Calling

AI providers support function calling with automatic tool result handling:

response = await ai_provider.generate(context)
if response.tool_calls:
    for call in response.tool_calls:
        result = await execute_tool(call.name, call.arguments)
        # Feed result back to AI

Realtime Events

Handle ephemeral events like typing indicators, presence, and read receipts:

from roomkit import EphemeralEvent, EphemeralEventType

# Subscribe to realtime events
async def handle_realtime(event: EphemeralEvent):
    if event.type == EphemeralEventType.TYPING_START:
        print(f"{event.user_id} is typing...")

sub_id = await kit.subscribe_room("room-1", handle_realtime)

# Publish typing indicator
await kit.publish_typing("room-1", "user-1")

# Publish presence
await kit.publish_presence("room-1", "user-1", "online")

# Publish read receipt
await kit.publish_read_receipt("room-1", "user-1", "event-123")

For distributed deployments, implement a custom RealtimeBackend (e.g., Redis pub/sub).

Identity Resolution

Resolve unknown senders to known identities with a pluggable pipeline:

from roomkit import IdentityResolver, IdentityResult, IdentificationStatus, Identity

class MyResolver(IdentityResolver):
    async def resolve(self, message, context):
        user = await lookup(message.sender_id)
        if user:
            return IdentityResult(
                status=IdentificationStatus.IDENTIFIED,
                identity=Identity(id=user.id, display_name=user.name),
            )
        return IdentityResult(status=IdentificationStatus.UNKNOWN)

kit = RoomKit(identity_resolver=MyResolver())

Channel Type Filtering

Restrict identity resolution to specific channel types:

kit = RoomKit(
    identity_resolver=MyResolver(),
    identity_channel_types={ChannelType.SMS},  # Only resolve for SMS
)

Supports identified, pending, ambiguous, challenge, and rejected outcomes with hook-based customization.

Webhook Processing

Process provider webhooks with automatic parsing and delivery status tracking:

# Generic webhook processing
result = await kit.process_webhook(
    channel_id="sms-channel",
    raw_payload=request_body,
    headers=request_headers,
)

# Handle delivery status updates
@kit.on_delivery_status
async def handle_status(status: DeliveryStatus):
    print(f"Message {status.provider_message_id}: {status.status}")

Event-Driven Sources

For persistent connections (WebSocket, NATS, SSE), use SourceProviders instead of webhooks:

from roomkit import RoomKit, BaseSourceProvider, SourceStatus
from roomkit.sources import WebSocketSource

kit = RoomKit()

# Built-in WebSocket source
source = WebSocketSource(
    url="wss://chat.example.com/events",
    channel_id="websocket-chat",
)

# Attach with resilience options
await kit.attach_source(
    "websocket-chat",
    source,
    auto_restart=True,           # Restart on failure
    max_restart_attempts=10,     # Give up after 10 failures
    max_concurrent_emits=20,     # Backpressure control
)

# Monitor health
health = await kit.source_health("websocket-chat")
print(f"Status: {health.status}, Messages: {health.messages_received}")

# Detach when done
await kit.detach_source("websocket-chat")

Webhook vs Event-Driven:

Aspect	Webhooks	Event Sources
Connection	Stateless HTTP	Persistent (WS, TCP, etc.)
Initiative	External system pushes	RoomKit subscribes
Use cases	Twilio, SendGrid	WebSocket, NATS, SSE

Create custom sources by extending BaseSourceProvider:

class NATSSource(BaseSourceProvider):
    @property
    def name(self) -> str:
        return "nats:events"

    async def start(self, emit) -> None:
        self._set_status(SourceStatus.CONNECTED)
        async for msg in self.subscribe():
            await emit(parse_message(msg))
            self._record_message()

Features: exponential backoff, max restart attempts, backpressure control, health monitoring.

Resilience

Built-in patterns for production reliability:

• Retry with backoff — configurable per-channel retry policy with exponential backoff
• Circuit breaker — isolates failing providers so one broken channel doesn't bring down the room
• Rate limiting — token bucket limiter with per-second/minute/hour limits per channel
• Content transcoding — automatic conversion between channel capabilities (e.g. rich to text fallback)
• Chain depth tracking — prevents infinite event loops between channels

Configure per binding:

from roomkit import RetryPolicy, RateLimit

await kit.attach_channel("room-1", "sms-out",
    metadata={"phone_number": "[phone]"},
    retry_policy=RetryPolicy(max_retries=3, base_delay_seconds=1.0),
    rate_limit=RateLimit(max_per_second=5.0),
)

Scaling

Per-room locking

RoomKit serializes event processing per room using a RoomLockManager. The default InMemoryLockManager works for single-process deployments. For multi-process or distributed setups, subclass RoomLockManager with a distributed lock (Redis, Postgres advisory locks, etc.):

from roomkit import RoomKit, RoomLockManager

# Single process (default)
kit = RoomKit()

# Distributed
kit = RoomKit(lock_manager=MyRedisLockManager())

Backpressure

RoomKit does not enforce a global concurrency limit on process_inbound calls. Each call acquires a per-room lock internally, but across different rooms, processing is fully concurrent.

To prevent resource exhaustion, add concurrency control upstream:

import asyncio
from roomkit import RoomKit, InboundMessage, InboundResult

kit = RoomKit()
semaphore = asyncio.Semaphore(100)  # max 100 concurrent rooms processing

async def handle_webhook(message: InboundMessage) -> InboundResult:
    async with semaphore:
        return await kit.process_inbound(message)

Room Lifecycle

Rooms transition through states automatically based on activity timers:

ACTIVE ──(inactive timeout)──► PAUSED ──(closed timeout)──► CLOSED

from roomkit import RoomTimers

await kit.create_room(
    room_id="support-123",
    timers=RoomTimers(inactive_after_seconds=300, closed_after_seconds=3600),
)

# Check and apply timer transitions
transitioned = await kit.sweep_room_timers()

Storage

The ConversationStore ABC defines the persistence interface. InMemoryStore is included for development and testing. Implement the ABC to use any database.

kit = RoomKit()                          # uses InMemoryStore by default
kit = RoomKit(store=MyPostgresStore())   # plug in your own

The store handles rooms, events, bindings, participants, identities, tasks, and observations.

AI Assistant Support

RoomKit includes files to help AI coding assistants understand the library:

• llms.txt — Structured documentation for LLM context windows
• AGENTS.md — Coding guidelines and patterns for AI assistants
• MCP Integration — Model Context Protocol support

Access programmatically:

from roomkit import get_llms_txt, get_agents_md

llms_content = get_llms_txt()
agents_content = get_agents_md()

Project Structure

src/roomkit/
  channels/        Channel implementations (sms, rcs, email, websocket, ai, ...)
  core/            Framework, hooks, routing, retry, circuit breaker
  identity/        Identity resolution pipeline
  models/          Pydantic data models and enums
  providers/       Provider implementations (sms/, rcs/, email/, teams/, messenger/, ...)
  realtime/        Ephemeral events (typing, presence, read receipts)
  sources/         Event-driven sources (WebSocket, neonize, custom)
  store/           Storage abstraction and in-memory implementation
  voice/           Voice subsystem (stt/, tts/, backends/, pipeline/, realtime/)

Documentation

• Website — Landing page and overview
• Documentation — Full documentation
• API Reference — Complete API docs
• RFC — Design document

Contributing

See CONTRIBUTING.md and CODE_OF_CONDUCT.md. Quick version:

uv sync --extra dev
make all                # ruff check + mypy --strict + pytest

All new code needs tests. Aim for >90% coverage.

License

MIT