From a31830438b9ac42555eae5ad39dfcaa39df657ec Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Mon, 11 May 2026 01:04:58 +0530 Subject: [PATCH 1/9] feat: integrate LiveKit for real-time voice agents --- ak-py/pyproject.toml | 7 + ak-py/src/agentkernel/core/config.py | 12 + .../agentkernel/integration/livekit/README.md | 82 + .../integration/livekit/__init__.py | 16 + .../integration/livekit/livekit_handler.py | 246 + ak-py/src/agentkernel/livekit.py | 8 + ak-py/uv.lock | 982 +++- docs/docs/integrations/livekit.md | 93 + docs/docs/integrations/overview.md | 10 +- docs/docs/intro.md | 7 +- docs/sidebars.js | 1 + examples/api/livekit/.env.example | 6 + examples/api/livekit/README.md | 49 + examples/api/livekit/build.sh | 16 + examples/api/livekit/pyproject.toml | 36 + examples/api/livekit/server.py | 17 + examples/api/livekit/uv.lock | 4754 +++++++++++++++++ 17 files changed, 6102 insertions(+), 240 deletions(-) create mode 100644 ak-py/src/agentkernel/integration/livekit/README.md create mode 100644 ak-py/src/agentkernel/integration/livekit/__init__.py create mode 100644 ak-py/src/agentkernel/integration/livekit/livekit_handler.py create mode 100644 ak-py/src/agentkernel/livekit.py create mode 100644 docs/docs/integrations/livekit.md create mode 100644 examples/api/livekit/.env.example create mode 100644 examples/api/livekit/README.md create mode 100755 examples/api/livekit/build.sh create mode 100644 examples/api/livekit/pyproject.toml create mode 100644 examples/api/livekit/server.py create mode 100644 examples/api/livekit/uv.lock diff --git a/ak-py/pyproject.toml b/ak-py/pyproject.toml index 3a08275c9..548a6c20a 100644 --- a/ak-py/pyproject.toml +++ b/ak-py/pyproject.toml @@ -114,6 +114,13 @@ gmail = [ "google-auth-httplib2>=0.2.0", "google-api-python-client>=2.0.0", ] +livekit = [ + "livekit-agents>=1.0.0", + "livekit-plugins-openai>=1.0.0", + "livekit-plugins-deepgram>=1.0.0", + "livekit-plugins-silero>=1.0.0", + "livekit-api>=0.2.0", +] test = [ "pytest>=8.4.1", "pytest-asyncio>=1.2.0", diff --git a/ak-py/src/agentkernel/core/config.py b/ak-py/src/agentkernel/core/config.py index 9ab173886..b4430ff93 100644 --- a/ak-py/src/agentkernel/core/config.py +++ b/ak-py/src/agentkernel/core/config.py @@ -132,6 +132,17 @@ class _GmailConfig(BaseModel): label_filter: str = Field(default="INBOX", description="Gmail label to monitor (e.g., INBOX, UNREAD)") +class _LiveKitConfig(BaseModel): + agent: str = Field(default="", description="Default agent to use for LiveKit Voice interactions") + url: str = Field(default="", description="LiveKit WebSocket URL (e.g., wss://my-project.livekit.cloud)") + api_key: str = Field(default="", description="LiveKit API Key") + api_secret: str = Field(default="", description="LiveKit API Secret") + stt_provider: str = Field(default="deepgram", pattern="^(deepgram|openai)$", description="Speech-to-Text provider (deepgram or openai)") + tts_provider: str = Field( + default="openai", pattern="^(openai|elevenlabs|google)$", description="Text-to-Speech provider (openai, elevenlabs, or google)" + ) + + class _MultimodalStorageRedisConfig(BaseModel): url: str = Field(default="redis://localhost:6379", description="Redis connection URL") ttl: int = Field(default=604800, description="Attachment TTL in seconds") @@ -281,6 +292,7 @@ class AKConfig(YamlBaseSettingsModified): instagram: _InstagramConfig = Field(description="Instagram Business API related configurations", default_factory=_InstagramConfig) telegram: _TelegramConfig = Field(description="Telegram Bot related configurations", default_factory=_TelegramConfig) gmail: _GmailConfig = Field(description="Gmail related configurations", default_factory=_GmailConfig) + livekit: _LiveKitConfig = Field(description="LiveKit Voice related configurations", default_factory=_LiveKitConfig) multimodal: _MultimodalConfig = Field(description="Multimodal attachment memory configurations", default_factory=_MultimodalConfig) trace: _TraceConfig = Field(description="Tracing related configurations", default_factory=_TraceConfig) diff --git a/ak-py/src/agentkernel/integration/livekit/README.md b/ak-py/src/agentkernel/integration/livekit/README.md new file mode 100644 index 000000000..3cf0a8135 --- /dev/null +++ b/ak-py/src/agentkernel/integration/livekit/README.md @@ -0,0 +1,82 @@ +# LiveKit Voice Integration + +Agent Kernel supports real-time, ultra-low latency voice integrations via [LiveKit](https://livekit.io/). + +By treating LiveKit as an **Integration**, you can build an agent once (using CrewAI, LangGraph, OpenAI, etc.), equip it with tools and memory via Agent Kernel, and then use LiveKit to allow users to **talk to your agent over a real-time voice call**. + +LiveKit handles the WebRTC voice connection, Speech-to-Text (STT), and Text-to-Speech (TTS), while Agent Kernel handles the intelligence, routing, and tools. + +## Architecture + +When you use the LiveKit integration: +1. The user speaks into their microphone via a LiveKit frontend. +2. LiveKit's **Speech-to-Text (STT)** plugin transcribes the voice into text. +3. The transcribed text is intercepted by our custom `AgentKernelLLM` bridge. +4. The bridge forwards the text to **Agent Kernel** (`AgentService().run(text)`). +5. Agent Kernel's selected agent processes the text and generates a response. +6. The response is sent back to LiveKit's **Text-to-Speech (TTS)** plugin. +7. The TTS plugin synthesizes the voice and streams it back to the user. + +## Setup + +First, ensure you have installed the LiveKit optional dependencies: + +```bash +pip install "agentkernel[livekit]" +``` + +You will also need: +1. A free account on [LiveKit Cloud](https://cloud.livekit.io/). +2. Your LiveKit API keys (`LIVEKIT_URL`, `LIVEKIT_API_KEY`, `LIVEKIT_API_SECRET`). +3. API keys for your preferred STT/TTS providers (e.g., `OPENAI_API_KEY`, `DEEPGRAM_API_KEY`, etc.). + +## Configuration + +In your `config.yaml`, configure which Agent Kernel agent should respond to LiveKit voice interactions, as well as your preferred STT and TTS providers: + +```yaml +livekit: + agent: "my-voice-agent" + stt_provider: "deepgram" # Options: deepgram, openai + tts_provider: "openai" # Options: openai, elevenlabs, google + url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var + api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var + api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var +``` + +You can also set these via environment variables: +```bash +export AK_LIVEKIT__AGENT="my-voice-agent" +export AK_LIVEKIT__STT_PROVIDER="openai" +``` + +## Example Usage + +Create a Python script (e.g., `server.py`) that initializes your Agent Kernel agent and starts the REST API. The `AgentLiveKitRequestHandler` will automatically launch the LiveKit background worker alongside your FastAPI server. + +```python +import os +import logging +from agentkernel.api import RESTAPI +from agentkernel.openai import OpenAIModule +from agentkernel.livekit import AgentLiveKitRequestHandler +from agents import Agent as OpenAIAgent + +logging.basicConfig(level=logging.INFO) + +# 1. Define your Agent Kernel Agent +voice_agent = OpenAIAgent( + name="my-voice-agent", + handoff_description="Agent for voice interactions", + instructions="You are a concise voice assistant. Do not use markdown or emojis.", +) + +# 2. Register the agent with Agent Kernel +OpenAIModule([voice_agent]) + +# 3. Start the server with the LiveKit Handler +if __name__ == "__main__": + RESTAPI.run([AgentLiveKitRequestHandler()]) +``` + +> **Note:** The `AgentLiveKitRequestHandler` exposes a `/livekit/token` API endpoint on your FastAPI server. Your frontend (e.g., a React application or the LiveKit Agent Console) can hit this endpoint to generate secure access tokens for users joining the voice room. diff --git a/ak-py/src/agentkernel/integration/livekit/__init__.py b/ak-py/src/agentkernel/integration/livekit/__init__.py new file mode 100644 index 000000000..d3ad2d777 --- /dev/null +++ b/ak-py/src/agentkernel/integration/livekit/__init__.py @@ -0,0 +1,16 @@ +""" +Agent Kernel Integrations with LiveKit + +This package contains the Agent Kernel integration implementations for LiveKit Voice Agents. +""" + +import importlib.metadata + +try: + __version__ = importlib.metadata.version("agentkernel") +except importlib.metadata.PackageNotFoundError: + __version__ = "0.1.0" + +from .livekit_handler import AgentKernelLLM, AgentLiveKitRequestHandler + +__all__ = ["AgentLiveKitRequestHandler", "AgentKernelLLM"] diff --git a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py new file mode 100644 index 000000000..16826abdc --- /dev/null +++ b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py @@ -0,0 +1,246 @@ +import asyncio +import logging +from typing import Callable + +from fastapi import APIRouter, HTTPException +from livekit import agents, api +from livekit.agents import AgentServer, JobContext, WorkerOptions, WorkerType, llm +from livekit.agents.types import DEFAULT_API_CONNECT_OPTIONS, NOT_GIVEN, APIConnectOptions, NotGivenOr +from livekit.agents.voice import Agent as VoicePipelineAgent +from livekit.agents.voice import AgentSession +from livekit.plugins import deepgram, openai, silero + +from ...api import RESTRequestHandler +from ...core import AgentService, Config +from ...core.model import AgentReplyText + +logger = logging.getLogger("ak.integration.livekit") + + +class AgentKernelLLMStream(llm.LLMStream): + """ + A simple LLMStream implementation that yields a single response string. + LiveKit's TTS engine consumes this stream and synthesizes it into speech. + """ + + def __init__(self, parent_llm: llm.LLM, text: str, chat_ctx: llm.ChatContext): + super().__init__(parent_llm, chat_ctx=chat_ctx, tools=[], conn_options=DEFAULT_API_CONNECT_OPTIONS) + self._text = text + + async def _run(self) -> None: + pass + + async def __anext__(self): + if self._text is None: + raise StopAsyncIteration + + text = self._text + self._text = None + + return llm.ChatChunk(id="agent_kernel_chunk", delta=llm.ChoiceDelta(content=text, role="assistant")) + + +class AgentKernelLLMStreamWrapper(llm.LLMStream): + """ + An asynchronous generator wrapper that bridges LiveKit's streaming interface + with Agent Kernel's request-response architecture. It awaits the Agent Kernel + response and yields it to the LiveKit voice pipeline. + """ + + def __init__(self, parent_llm: llm.LLM, chat_ctx: llm.ChatContext, agent_name: str, session_id: str, user_message: str): + super().__init__(parent_llm, chat_ctx=chat_ctx, tools=[], conn_options=DEFAULT_API_CONNECT_OPTIONS) + self.agent_name = agent_name + self.session_id = session_id + self.user_message = user_message + self._service = AgentService() + self._fetched = False + + async def _run(self) -> None: + pass + + async def __anext__(self): + if self._fetched: + raise StopAsyncIteration + + self._fetched = True + + # Select the agent and session + self._service.select(name=self.agent_name, session_id=self.session_id) + + if not self._service.agent: + return llm.ChatChunk( + id="agent_kernel_chunk", delta=llm.ChoiceDelta(content="Error: No agent available to handle this request.", role="assistant") + ) + + try: + # Run the agent + reply = await self._service.run(self.user_message) + response_text = str(reply) + except Exception as e: + logger.error(f"Agent Kernel error: {e}", exc_info=True) + response_text = "I'm sorry, I encountered an internal error while processing your request." + + return llm.ChatChunk(id="agent_kernel_chunk", delta=llm.ChoiceDelta(content=response_text, role="assistant")) + + +class AgentKernelLLM(llm.LLM): + """ + A custom LiveKit LLM implementation that intercepts user speech (transcribed to text) + and routes it to the Agent Kernel runtime, bypassing direct LLM API calls. + """ + + def __init__(self, agent_name: str, session_id: str): + super().__init__() + self.agent_name = agent_name + self.session_id = session_id + self._service = AgentService() + + def chat( + self, + *, + chat_ctx: llm.ChatContext, + tools: list[llm.Tool] | None = None, + conn_options: APIConnectOptions = DEFAULT_API_CONNECT_OPTIONS, + parallel_tool_calls: NotGivenOr[bool] = NOT_GIVEN, + tool_choice: NotGivenOr[llm.ToolChoice] = NOT_GIVEN, + extra_kwargs: NotGivenOr[dict] = NOT_GIVEN, + ) -> "AgentKernelLLMStreamWrapper | AgentKernelLLMStream": + """ + Called by LiveKit's AgentSession when the user has finished speaking and + the STT has finalized the transcript. + """ + # Find the last user message + user_message = "" + for msg in reversed(chat_ctx.messages()): + if msg.role == "user" and msg.text_content: + user_message = msg.text_content + break + + if not user_message: + return AgentKernelLLMStream(self, "I did not hear anything.", chat_ctx) + + logger.debug(f"Received transcribed user speech: {user_message}") + + return AgentKernelLLMStreamWrapper( + parent_llm=self, + chat_ctx=chat_ctx, + agent_name=self.agent_name, + session_id=self.session_id, + user_message=user_message, + ) + + +async def _default_entrypoint(ctx: JobContext): + """ + Default entrypoint for the LiveKit worker. + Initializes an AgentSession using Deepgram (STT), OpenAI (TTS), and AgentKernel (LLM). + """ + logger.info(f"Connecting to room {ctx.room.name}") + vad = silero.VAD.load() + + agent_name = Config.get().livekit.agent + if not agent_name: + logger.warning("No agent configured for LiveKit interactions. Set 'agent' under 'livekit' in config.yaml.") + + stt_provider = Config.get().livekit.stt_provider + if stt_provider == "openai": + from livekit.plugins import openai as lk_openai + + stt_plugin = lk_openai.STT() + else: + stt_plugin = deepgram.STT() + + tts_provider = Config.get().livekit.tts_provider + if tts_provider == "elevenlabs": + from livekit.plugins import elevenlabs + + tts_plugin = elevenlabs.TTS() + elif tts_provider == "google": + from livekit.plugins import google + + tts_plugin = google.TTS() + else: + tts_plugin = openai.TTS() + + agent = VoicePipelineAgent( + vad=vad, + stt=stt_plugin, + llm=AgentKernelLLM(agent_name=agent_name, session_id=ctx.room.name), + tts=tts_plugin, + instructions="You are a helpful voice assistant.", + ) + + await ctx.connect(auto_subscribe=agents.AutoSubscribe.AUDIO_ONLY) + + session = AgentSession() + await session.start(agent, room=ctx.room) + + +class AgentLiveKitRequestHandler(RESTRequestHandler): + """ + RESTRequestHandler for LiveKit Integration. + + This handler achieves two things: + 1. Exposes a REST API endpoint (`/livekit/token`) to generate secure access tokens for frontend clients. + 2. Runs a LiveKit Worker as a background asyncio task seamlessly tied to the FastAPI lifecycle. + """ + + def __init__(self, entrypoint_fnc: Callable[[JobContext], None] = None): + self._log = logging.getLogger("ak.api.livekit") + self._entrypoint = entrypoint_fnc or _default_entrypoint + self._worker_task = None + + # Pull config + self.url = Config.get().livekit.url + self.api_key = Config.get().livekit.api_key + self.api_secret = Config.get().livekit.api_secret + + def get_router(self) -> APIRouter: + router = APIRouter(prefix="/livekit", tags=["LiveKit Integration"]) + + @router.on_event("startup") + async def startup_event(): + if getattr(self, "_worker_started", False): + return + self._worker_started = True + + self._log.info("Starting up LiveKit Background Worker") + + # Setup worker options + kwargs = {} + if self.url: + kwargs["ws_url"] = self.url + if self.api_key: + kwargs["api_key"] = self.api_key + if self.api_secret: + kwargs["api_secret"] = self.api_secret + + # Set port to 0 to assign a random port, avoiding conflicts on 8081 + kwargs["port"] = 0 + + # We initialize the AgentServer and start it as an asyncio task + worker_opts = WorkerOptions(agent_name="agent-kernel-worker", entrypoint_fnc=self._entrypoint, worker_type=WorkerType.ROOM, **kwargs) + + server = AgentServer.from_server_options(worker_opts) + self._worker_task = asyncio.create_task(server.run()) + + @router.get("/token") + def get_token(room: str, identity: str): + """ + Generates a secure LiveKit Access Token for a frontend client to join the voice room. + """ + if not self.api_key or not self.api_secret: + raise HTTPException(status_code=500, detail="LiveKit API Key or Secret not configured in config.yaml under 'livekit'") + + token = api.AccessToken(self.api_key, self.api_secret) + token.with_identity(identity) + token.with_name(identity) + token.with_grants( + api.VideoGrants( + room_join=True, + room=room, + ) + ) + return {"token": token.to_jwt()} + + return router diff --git a/ak-py/src/agentkernel/livekit.py b/ak-py/src/agentkernel/livekit.py new file mode 100644 index 000000000..0615fc49a --- /dev/null +++ b/ak-py/src/agentkernel/livekit.py @@ -0,0 +1,8 @@ +import importlib.metadata + +try: + __version__ = importlib.metadata.version("agentkernel") +except importlib.metadata.PackageNotFoundError: + __version__ = "0.1.0" + +from .integration.livekit import * diff --git a/ak-py/uv.lock b/ak-py/uv.lock index 0a1e1c222..14bc09770 100644 --- a/ak-py/uv.lock +++ b/ak-py/uv.lock @@ -111,6 +111,17 @@ langgraph = [ { name = "langgraph" }, { name = "litellm" }, ] +livekit = [ + { name = "livekit-agents", version = "1.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13' or sys_platform != 'win32'" }, + { name = "livekit-agents", version = "1.5.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, + { name = "livekit-api" }, + { name = "livekit-plugins-deepgram", version = "1.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13' or sys_platform != 'win32'" }, + { name = "livekit-plugins-deepgram", version = "1.5.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, + { name = "livekit-plugins-openai", version = "1.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13' or sys_platform != 'win32'" }, + { name = "livekit-plugins-openai", version = "1.5.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, + { name = "livekit-plugins-silero", version = "1.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13' or sys_platform != 'win32'" }, + { name = "livekit-plugins-silero", version = "1.5.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, +] mcp = [ { name = "fastmcp" }, ] @@ -211,6 +222,11 @@ requires-dist = [ { name = "litellm", marker = "extra == 'langgraph'", specifier = "~=1.74.9" }, { name = "litellm", marker = "extra == 'multimodal'", specifier = ">=1.74.9" }, { name = "litellm", marker = "extra == 'test'", specifier = ">=1.74.9" }, + { name = "livekit-agents", marker = "extra == 'livekit'", specifier = ">=1.0.0" }, + { name = "livekit-api", marker = "extra == 'livekit'", specifier = ">=0.2.0" }, + { name = "livekit-plugins-deepgram", marker = "extra == 'livekit'", specifier = ">=1.0.0" }, + { name = "livekit-plugins-openai", marker = "extra == 'livekit'", specifier = ">=1.0.0" }, + { name = "livekit-plugins-silero", marker = "extra == 'livekit'", specifier = ">=1.0.0" }, { name = "msal", marker = "extra == 'teams'", specifier = ">=1.31.1" }, { name = "neo4j", marker = "extra == 'neo4j'", specifier = ">=5.0.0" }, { name = "nest-asyncio", marker = 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"python_full_version >= '3.13' and sys_platform == 'win32'" }, { name = "opentelemetry-instrumentation-together" }, { name = "opentelemetry-instrumentation-transformers" }, { name = "opentelemetry-instrumentation-urllib3", version = "0.59b0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13' or sys_platform != 'win32'" }, - { name = "opentelemetry-instrumentation-urllib3", version = "0.62b0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, + { name = "opentelemetry-instrumentation-urllib3", version = "0.60b1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, { name = "opentelemetry-instrumentation-vertexai" }, { name = "opentelemetry-instrumentation-voyageai" }, { name = "opentelemetry-instrumentation-watsonx" }, { name = "opentelemetry-instrumentation-weaviate" }, { name = 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b/docs/docs/integrations/livekit.md new file mode 100644 index 000000000..77b92bc7e --- /dev/null +++ b/docs/docs/integrations/livekit.md @@ -0,0 +1,93 @@ +--- +sidebar_position: 10 +--- + +# LiveKit Voice Integration + +Agent Kernel supports real-time, ultra-low latency voice integrations via [LiveKit](https://livekit.io/). + +By treating LiveKit as an **Integration**, you can build an agent once (using CrewAI, LangGraph, OpenAI, etc.), equip it with tools and memory via Agent Kernel, and then use LiveKit to allow users to **talk to your agent over a real-time voice call**. + +LiveKit handles the WebRTC voice connection, Speech-to-Text (STT), and Text-to-Speech (TTS), while Agent Kernel handles the intelligence, routing, and tools. + +## Architecture + +When you use the LiveKit integration: +1. The user speaks into their microphone via a LiveKit frontend. +2. LiveKit's **Speech-to-Text (STT)** plugin transcribes the voice into text. +3. The transcribed text is intercepted by our custom `AgentKernelLLM` bridge. +4. The bridge forwards the text to **Agent Kernel** (`AgentService().run(text)`). +5. Agent Kernel's selected agent processes the text and generates a response. +6. The response is sent back to LiveKit's **Text-to-Speech (TTS)** plugin. +7. The TTS plugin synthesizes the voice and streams it back to the user. + +## Setup + +First, ensure you have installed the LiveKit optional dependencies: + +```bash +pip install "agentkernel[livekit]" +``` + +You will also need: +1. A free account on [LiveKit Cloud](https://cloud.livekit.io/). +2. Your LiveKit API keys (`LIVEKIT_URL`, `LIVEKIT_API_KEY`, `LIVEKIT_API_SECRET`). +3. API keys for your preferred STT/TTS providers (e.g., `OPENAI_API_KEY`, `DEEPGRAM_API_KEY`, etc.). + +## Configuration + +In your `config.yaml`, configure which Agent Kernel agent should respond to LiveKit voice interactions, as well as your preferred STT and TTS providers: + +```yaml +livekit: + agent: "my-voice-agent" + stt_provider: "deepgram" # Options: deepgram, openai + tts_provider: "openai" # Options: openai, elevenlabs, google + url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var + api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var + api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var +``` + +You can also set these via environment variables: +```bash +export AK_LIVEKIT__AGENT="my-voice-agent" +export AK_LIVEKIT__STT_PROVIDER="openai" +``` + +## Example Usage + +Create a Python script (e.g., `server.py`) that initializes your Agent Kernel agent and starts the REST API. The `AgentLiveKitRequestHandler` will automatically launch the LiveKit background worker alongside your FastAPI server. + +```python +import os +import logging +from agentkernel.api import RESTAPI +from agentkernel.openai import OpenAIModule +from agentkernel.livekit import AgentLiveKitRequestHandler +from agents import Agent as OpenAIAgent + +logging.basicConfig(level=logging.INFO) + +# 1. Define your Agent Kernel Agent +voice_agent = OpenAIAgent( + name="my-voice-agent", + handoff_description="Agent for voice interactions", + instructions="You are a concise voice assistant. Do not use markdown or emojis.", +) + +# 2. Register the agent with Agent Kernel +OpenAIModule([voice_agent]) + +# 3. Start the server with the LiveKit Handler +if __name__ == "__main__": + RESTAPI.run([AgentLiveKitRequestHandler()]) +``` + +> **Note:** The `AgentLiveKitRequestHandler` exposes a `/livekit/token` API endpoint on your FastAPI server. Your frontend (e.g., a React application or the LiveKit Agent Console) can hit this endpoint to generate secure access tokens for users joining the voice room. + +Run the script in development mode: +```bash +python worker.py dev +``` + +You can now connect to your LiveKit room using the [LiveKit Agents Playground](https://cloud.livekit.io/projects/p_/agents) or your own custom frontend to talk to your agent! diff --git a/docs/docs/integrations/overview.md b/docs/docs/integrations/overview.md index b58060484..008307195 100644 --- a/docs/docs/integrations/overview.md +++ b/docs/docs/integrations/overview.md @@ -13,6 +13,10 @@ Agent Kernel provides powerful execution hooks that let you customize agent beha - **Langfuse** - Open-source LLM engineering platform for tracing, evaluating, and monitoring AI applications. See [Traceability and Observability](../advanced/traceability) for detailed setup and usage. - **OpenLLMetry (Traceloop)** - OpenTelemetry-based observability for LLM applications with support for multiple backends including Traceloop, Datadog, New Relic, and Honeycomb. See [Traceability and Observability](../advanced/traceability) for detailed setup and usage. +## Real-time Voice + +- **[LiveKit](./livekit)** - Connect your agents to real-time WebRTC voice and video rooms. Use LiveKit's ultra-low latency infrastructure for Speech-to-Text and Text-to-Speech while Agent Kernel handles the intelligence and tools. + ## Social media These are built on REST APIs and you can install custom integrations as well. @@ -34,7 +38,7 @@ config: elk: true --- flowchart LR - D["Integration"] --> I["Slack"] & J["WhatsApp"] & K["Messenger"] & M["Instagram"] & N["Telegram"] & O["Gmail"] & T["Teams"] + D["Integration"] --> I["Slack"] & J["WhatsApp"] & K["Messenger"] & M["Instagram"] & N["Telegram"] & O["Gmail"] & T["Teams"] & V["LiveKit (Voice)"] style I fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff style J fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff @@ -43,6 +47,7 @@ flowchart LR style N fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff style O fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff style T fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff + style V fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff ``` ### Custom @@ -57,7 +62,7 @@ config: --- flowchart LR - D["RESTRequestHandler"] --> I["AgentSlackRequestHandler"] & J["AgentWhatsAppRequestHandler"] & K["AgentMessengerRequestHandler"] & M["AgentInstagramRequestHandler"] & O["AgentTelegramRequestHandler"] & P["AgentGmailHandler"] & T["AgentTeamsHandler"] & N["CustomHandler"] + D["RESTRequestHandler"] --> I["AgentSlackRequestHandler"] & J["AgentWhatsAppRequestHandler"] & K["AgentMessengerRequestHandler"] & M["AgentInstagramRequestHandler"] & O["AgentTelegramRequestHandler"] & P["AgentGmailHandler"] & T["AgentTeamsHandler"] & L["AgentLiveKitRequestHandler"] & N["CustomHandler"] style I fill:#005073,stroke:#fff,stroke-width:2px,color:#fff style J fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff @@ -65,6 +70,7 @@ flowchart LR style M fill:#484c7a,stroke:#fff,stroke-width:2px,color:#fff style O fill:#3a9ecc,stroke:#fff,stroke-width:2px,color:#fff style T fill:#0078D4,stroke:#fff,stroke-width:2px,color:#fff + style L fill:#d94c4c,stroke:#fff,stroke-width:2px,color:#fff style N fill:#bd7e4a,stroke:#fff,stroke-width:2px,color:#fff ``` diff --git a/docs/docs/intro.md b/docs/docs/intro.md index 4e13d7094..bed91004a 100644 --- a/docs/docs/intro.md +++ b/docs/docs/intro.md @@ -38,14 +38,12 @@ flowchart LR E["LangGraph"] --> B F["Google ADK"] --> B SA["Smol Agents *(soon)*"] --> B - LK["LiveKit *(soon)*"] --> B G["Test Framework"] B --> G style A fill:#2e8555,stroke:#fff,stroke-width:2px,color:#fff style B fill:#2e4555,stroke:#fff,stroke-width:2px,color:#fff style G fill:#005073,stroke:#fff,stroke-width:2px,color:#fff style SA fill:#555,stroke:#fff,stroke-width:1px,color:#ccc,stroke-dasharray: 5 5 - style LK fill:#555,stroke:#fff,stroke-width:1px,color:#ccc,stroke-dasharray: 5 5 ``` ## Why Agent Kernel? @@ -67,6 +65,7 @@ Agent Kernel provides pre-built execution capabilities: - Instagram - Gmail - Microsoft Teams + - **LiveKit (Real-time Voice)** - **Multi-Cloud Serverless Deployment** for scalable production - AWS Lambda - Azure Functions @@ -186,7 +185,6 @@ Agent Kernel currently supports: Coming soon: - **Smol Agents** - Hugging Face's lightweight agentic framework -- **LiveKit Agents** - Real-time audio/video agent framework for voice-enabled AI applications ### Flexible Deployment @@ -202,7 +200,7 @@ flowchart LR B -- API --> D["REST API Server"] & G["MCP Server"] & H["A2A Server"] B -- AWS Cloud --> E["AWS Lambda"] & F["AWS ECS/Fargate"] B -- Azure Cloud --> K["Azure Functions"] & L["Azure Container Apps"] - D -- Integration --> I["Slack"] & J["WhatsApp"] & M["Messenger"] & N["Instagram"] & O["Telegram"] & P["Gmail"] & T["Teams"] + D -- Integration --> I["Slack"] & J["WhatsApp"] & M["Messenger"] & N["Instagram"] & O["Telegram"] & P["Gmail"] & T["Teams"] & V["LiveKit (Voice)"] style A fill:#2e8555,stroke:#fff,stroke-width:2px,color:#fff style E fill:#FF9900,stroke:#fff,stroke-width:2px,color:#fff @@ -214,6 +212,7 @@ flowchart LR style M fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff style N fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff style O fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff + style V fill:#1ebbd7,stroke:#fff,stroke-width:2px,color:#fff ``` ## Quick Example diff --git a/docs/sidebars.js b/docs/sidebars.js index 4d7b7c544..0b9d2ab61 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -92,6 +92,7 @@ const sidebars = { 'integrations/telegram', 'integrations/gmail', 'integrations/teams', + 'integrations/livekit', 'integrations/hooks', ], }, diff --git a/examples/api/livekit/.env.example b/examples/api/livekit/.env.example new file mode 100644 index 000000000..fc6f75954 --- /dev/null +++ b/examples/api/livekit/.env.example @@ -0,0 +1,6 @@ +LIVEKIT_URL=wss://your-project-id.livekit.cloud +LIVEKIT_API_KEY=your_livekit_api_key +LIVEKIT_API_SECRET=your_livekit_api_secret + +OPENAI_API_KEY=your_openai_api_key +DEEPGRAM_API_KEY=your_deepgram_api_key diff --git a/examples/api/livekit/README.md b/examples/api/livekit/README.md new file mode 100644 index 000000000..fdb0f9d47 --- /dev/null +++ b/examples/api/livekit/README.md @@ -0,0 +1,49 @@ +# LiveKit Voice Integration Demo + +This example demonstrates how to use **LiveKit** as a voice interface for your Agent Kernel agents, running identically to the Slack and WhatsApp integrations. + +By passing `AgentLiveKitRequestHandler` to `RESTAPI.run()`, Agent Kernel automatically: +1. Exposes a `/livekit/token` endpoint for your frontend client to connect securely. +2. Runs the LiveKit `VoicePipelineAgent` in the background within the FastAPI event loop. + +## How it works + +1. Your frontend fetches a secure token from `GET /livekit/token?room=my-room&identity=user1`. +2. The frontend connects to the LiveKit Room. +3. The background LiveKit Worker uses your configured Speech-to-Text provider (e.g. Deepgram or OpenAI) to transcribe the user's voice to text. +4. The custom `AgentKernelLLM` intercepts this text and hands it over to **Agent Kernel**. +5. Agent Kernel routes the text to your configured agent (with all memory/hooks preserved). +6. The generated text reply is sent to your configured Text-to-Speech provider (e.g. OpenAI or ElevenLabs), which synthesizes it into a voice stream and plays it to the user. + +## Setup + +1. Create a free account on [LiveKit Cloud](https://cloud.livekit.io/) and create a project. +2. Generate API Keys in the project settings. +3. Get API keys for OpenAI and Deepgram. +4. Copy `.env.example` to `.env` and fill in the values: + +```bash +LIVEKIT_URL=wss://your-project-id.livekit.cloud +LIVEKIT_API_KEY=your_livekit_api_key +LIVEKIT_API_SECRET=your_livekit_api_secret + +OPENAI_API_KEY=your_openai_api_key +DEEPGRAM_API_KEY=your_deepgram_api_key +``` + +## Running the Demo + +1. Install dependencies: +```bash +uv sync +``` + +2. Run the REST API: +```bash +uv run server.py +``` + +3. The server will start on `http://0.0.0.0:8000`. You can get a test token by visiting: + `http://localhost:8000/livekit/token?room=my-room&identity=test-user` + +4. To actually test the voice call, open the LiveKit Console in your browser (LiveKit Cloud dashboard -> Agents -> Playground), or build a simple React frontend using `@livekit/components-react`, and connect to the room. The agent will greet you and you can start talking! diff --git a/examples/api/livekit/build.sh b/examples/api/livekit/build.sh new file mode 100755 index 000000000..49603fc10 --- /dev/null +++ b/examples/api/livekit/build.sh @@ -0,0 +1,16 @@ +#!/bin/bash + +set -euo pipefail +if command -v pyenv >/dev/null 2>&1; then + uv venv --python "$(pyenv which python)" --allow-existing +else + uv venv --allow-existing +fi + +if [[ ${1-} != "local" ]]; then + uv sync --all-extras +else + # For local development of agentkernel, you can force reinstall from local dist + uv sync --find-links ../../../ak-py/dist --all-extras + uv pip install --force-reinstall --find-links ../../../ak-py/dist agentkernel[api,openai,livekit] || true +fi diff --git a/examples/api/livekit/pyproject.toml b/examples/api/livekit/pyproject.toml new file mode 100644 index 000000000..e4b7c196a --- /dev/null +++ b/examples/api/livekit/pyproject.toml @@ -0,0 +1,36 @@ +[project] +name = "api-livekit" +version = "0.1.0" +description = "LiveKit Integration Demo for Agent Kernel" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "agentkernel[api,openai,livekit]>=0.4.0", + "python-dotenv" +] + +[dependency-groups] +dev = [ + "agentkernel[test]>=0.4.0", + "black>=23.0.0", + "isort>=5.0.0", + "mypy>=1.0.0", +] + +[tool.uv] +package = false + +[tool.isort] +profile = "black" +line_length = 120 + +[tool.mypy] +python_version = "3.12" +warn_return_any = true +warn_unused_configs = true +disallow_untyped_defs = true +disallow_incomplete_defs = true + +[tool.black] +line-length = 120 +target-version = ["py312"] diff --git a/examples/api/livekit/server.py b/examples/api/livekit/server.py new file mode 100644 index 000000000..3d214a9e5 --- /dev/null +++ b/examples/api/livekit/server.py @@ -0,0 +1,17 @@ +import os + +from agentkernel.api import RESTAPI +from agentkernel.livekit import AgentLiveKitRequestHandler +from agentkernel.openai import OpenAIModule +from agents import Agent as OpenAIAgent + +voice_agent = OpenAIAgent( + name="my-voice-agent", + handoff_description="Agent for voice interactions", + instructions="You are a helpful and concise voice assistant. Do not use markdown or emojis.", +) + +OpenAIModule([voice_agent]) + +if __name__ == "__main__": + RESTAPI.run([AgentLiveKitRequestHandler()]) diff --git a/examples/api/livekit/uv.lock b/examples/api/livekit/uv.lock new file mode 100644 index 000000000..bfded3a37 --- /dev/null +++ b/examples/api/livekit/uv.lock @@ -0,0 +1,4754 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.15' and sys_platform == 'win32'", + "python_full_version >= '3.15' and sys_platform == 'emscripten'", + "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform == 'emscripten'", + "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.13.*' and sys_platform == 'win32'", + "python_full_version < '3.13' and sys_platform == 'win32'", + 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insertions(+), 9 deletions(-) diff --git a/ak-py/src/agentkernel/integration/livekit/README.md b/ak-py/src/agentkernel/integration/livekit/README.md index 3cf0a8135..83227195e 100644 --- a/ak-py/src/agentkernel/integration/livekit/README.md +++ b/ak-py/src/agentkernel/integration/livekit/README.md @@ -38,7 +38,7 @@ In your `config.yaml`, configure which Agent Kernel agent should respond to Live livekit: agent: "my-voice-agent" stt_provider: "deepgram" # Options: deepgram, openai - tts_provider: "openai" # Options: openai, elevenlabs, google + tts_provider: "openai" # Options: openai, elevenlabs, google (Note: requires `pip install livekit-plugins-elevenlabs`, etc.) url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var diff --git a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py index 16826abdc..4f3ecda4b 100644 --- a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py +++ b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py @@ -1,6 +1,6 @@ import asyncio import logging -from typing import Callable +from typing import Awaitable, Callable, Optional from fastapi import APIRouter, HTTPException from livekit import agents, api @@ -12,7 +12,6 @@ from ...api import RESTRequestHandler from ...core import AgentService, Config -from ...core.model import AgentReplyText logger = logging.getLogger("ak.integration.livekit") @@ -185,10 +184,11 @@ class AgentLiveKitRequestHandler(RESTRequestHandler): 2. Runs a LiveKit Worker as a background asyncio task seamlessly tied to the FastAPI lifecycle. """ - def __init__(self, entrypoint_fnc: Callable[[JobContext], None] = None): + def __init__(self, entrypoint_fnc: Optional[Callable[[JobContext], Awaitable[None]]] = None): self._log = logging.getLogger("ak.api.livekit") self._entrypoint = entrypoint_fnc or _default_entrypoint self._worker_task = None + self._server = None # Pull config self.url = Config.get().livekit.url @@ -221,8 +221,18 @@ async def startup_event(): # We initialize the AgentServer and start it as an asyncio task worker_opts = WorkerOptions(agent_name="agent-kernel-worker", entrypoint_fnc=self._entrypoint, worker_type=WorkerType.ROOM, **kwargs) - server = AgentServer.from_server_options(worker_opts) - self._worker_task = asyncio.create_task(server.run()) + self._server = AgentServer.from_server_options(worker_opts) + self._worker_task = asyncio.create_task(self._server.run()) + + @router.on_event("shutdown") + async def shutdown_event(): + if self._worker_task and not self._worker_task.done(): + self._log.info("Shutting down LiveKit Background Worker") + self._worker_task.cancel() + try: + await self._worker_task + except asyncio.CancelledError: + pass @router.get("/token") def get_token(room: str, identity: str): diff --git a/docs/docs/integrations/livekit.md b/docs/docs/integrations/livekit.md index 77b92bc7e..467d472d6 100644 --- a/docs/docs/integrations/livekit.md +++ b/docs/docs/integrations/livekit.md @@ -42,7 +42,7 @@ In your `config.yaml`, configure which Agent Kernel agent should respond to Live livekit: agent: "my-voice-agent" stt_provider: "deepgram" # Options: deepgram, openai - tts_provider: "openai" # Options: openai, elevenlabs, google + tts_provider: "openai" # Options: openai, elevenlabs, google (Note: requires `pip install livekit-plugins-elevenlabs`, etc.) url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var diff --git a/examples/api/livekit/server.py b/examples/api/livekit/server.py index 3d214a9e5..f026bffa0 100644 --- a/examples/api/livekit/server.py +++ b/examples/api/livekit/server.py @@ -1,5 +1,3 @@ -import os - from agentkernel.api import RESTAPI from agentkernel.livekit import AgentLiveKitRequestHandler from agentkernel.openai import OpenAIModule From 1d7c159c18ec676d414897e025ccc851a7d988a4 Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Mon, 11 May 2026 02:17:14 +0530 Subject: [PATCH 3/9] fix: copilot comments --- ak-py/pyproject.toml | 2 + ak-py/uv.lock | 98 +++++++++++++++++++++++++++++++ docs/docs/integrations/livekit.md | 2 +- 3 files changed, 101 insertions(+), 1 deletion(-) diff --git a/ak-py/pyproject.toml b/ak-py/pyproject.toml index 548a6c20a..44484a28e 100644 --- a/ak-py/pyproject.toml +++ b/ak-py/pyproject.toml @@ -119,6 +119,8 @@ livekit = [ "livekit-plugins-openai>=1.0.0", "livekit-plugins-deepgram>=1.0.0", 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upload-time = "2026-05-05T18:47:22.379Z" }, +] + [[package]] name = "livekit-plugins-openai" version = "1.3.5" diff --git a/docs/docs/integrations/livekit.md b/docs/docs/integrations/livekit.md index 467d472d6..c7c0b99b9 100644 --- a/docs/docs/integrations/livekit.md +++ b/docs/docs/integrations/livekit.md @@ -87,7 +87,7 @@ if __name__ == "__main__": Run the script in development mode: ```bash -python worker.py dev +uv run server.py ``` You can now connect to your LiveKit room using the [LiveKit Agents Playground](https://cloud.livekit.io/projects/p_/agents) or your own custom frontend to talk to your agent! From d81ffc10b4e90041b509bc490a32f24c15123468 Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Mon, 11 May 2026 02:30:16 +0530 Subject: [PATCH 4/9] fix: copilot comments --- .../agentkernel/integration/livekit/README.md | 2 +- .../integration/livekit/livekit_handler.py | 47 +++++++++---------- docs/docs/integrations/livekit.md | 2 +- 3 files changed, 25 insertions(+), 26 deletions(-) diff --git a/ak-py/src/agentkernel/integration/livekit/README.md b/ak-py/src/agentkernel/integration/livekit/README.md index 83227195e..3cf0a8135 100644 --- a/ak-py/src/agentkernel/integration/livekit/README.md +++ b/ak-py/src/agentkernel/integration/livekit/README.md @@ -38,7 +38,7 @@ In your `config.yaml`, configure which Agent Kernel agent should respond to Live livekit: agent: "my-voice-agent" stt_provider: "deepgram" # Options: deepgram, openai - tts_provider: "openai" # Options: openai, elevenlabs, google (Note: requires `pip install livekit-plugins-elevenlabs`, etc.) + tts_provider: "openai" # Options: openai, elevenlabs, google url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var diff --git a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py index 4f3ecda4b..39e692e04 100644 --- a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py +++ b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py @@ -92,7 +92,6 @@ def __init__(self, agent_name: str, session_id: str): super().__init__() self.agent_name = agent_name self.session_id = session_id - self._service = AgentService() def chat( self, @@ -196,36 +195,34 @@ def __init__(self, entrypoint_fnc: Optional[Callable[[JobContext], Awaitable[Non self.api_secret = Config.get().livekit.api_secret def get_router(self) -> APIRouter: - router = APIRouter(prefix="/livekit", tags=["LiveKit Integration"]) + from contextlib import asynccontextmanager - @router.on_event("startup") - async def startup_event(): - if getattr(self, "_worker_started", False): - return - self._worker_started = True + @asynccontextmanager + async def lifespan(r: APIRouter): + if not getattr(self, "_worker_started", False): + self._worker_started = True + self._log.info("Starting up LiveKit Background Worker") - self._log.info("Starting up LiveKit Background Worker") + # Setup worker options + kwargs = {} + if self.url: + kwargs["ws_url"] = self.url + if self.api_key: + kwargs["api_key"] = self.api_key + if self.api_secret: + kwargs["api_secret"] = self.api_secret - # Setup worker options - kwargs = {} - if self.url: - kwargs["ws_url"] = self.url - if self.api_key: - kwargs["api_key"] = self.api_key - if self.api_secret: - kwargs["api_secret"] = self.api_secret + # Set port to 0 to assign a random port, avoiding conflicts on 8081 + kwargs["port"] = 0 - # Set port to 0 to assign a random port, avoiding conflicts on 8081 - kwargs["port"] = 0 + # We initialize the AgentServer and start it as an asyncio task + worker_opts = WorkerOptions(agent_name="agent-kernel-worker", entrypoint_fnc=self._entrypoint, worker_type=WorkerType.ROOM, **kwargs) - # We initialize the AgentServer and start it as an asyncio task - worker_opts = WorkerOptions(agent_name="agent-kernel-worker", entrypoint_fnc=self._entrypoint, worker_type=WorkerType.ROOM, **kwargs) + self._server = AgentServer.from_server_options(worker_opts) + self._worker_task = asyncio.create_task(self._server.run()) - self._server = AgentServer.from_server_options(worker_opts) - self._worker_task = asyncio.create_task(self._server.run()) + yield - @router.on_event("shutdown") - async def shutdown_event(): if self._worker_task and not self._worker_task.done(): self._log.info("Shutting down LiveKit Background Worker") self._worker_task.cancel() @@ -234,6 +231,8 @@ async def shutdown_event(): except asyncio.CancelledError: pass + router = APIRouter(prefix="/livekit", tags=["LiveKit Integration"], lifespan=lifespan) + @router.get("/token") def get_token(room: str, identity: str): """ diff --git a/docs/docs/integrations/livekit.md b/docs/docs/integrations/livekit.md index c7c0b99b9..e5698752b 100644 --- a/docs/docs/integrations/livekit.md +++ b/docs/docs/integrations/livekit.md @@ -42,7 +42,7 @@ In your `config.yaml`, configure which Agent Kernel agent should respond to Live livekit: agent: "my-voice-agent" stt_provider: "deepgram" # Options: deepgram, openai - tts_provider: "openai" # Options: openai, elevenlabs, google (Note: requires `pip install livekit-plugins-elevenlabs`, etc.) + tts_provider: "openai" # Options: openai, elevenlabs, google url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var From 7b7128d847c5c92a1e068c2dc51ce060959b59ca Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Tue, 19 May 2026 14:58:36 +0530 Subject: [PATCH 5/9] feat: implement livekit voice and vision integration --- ak-py/pyproject.toml | 1 + ak-py/src/agentkernel/core/config.py | 4 + .../integration/livekit/__init__.py | 6 +- .../integration/livekit/livekit_handler.py | 150 +++++++++++++++--- ak-py/uv.lock | 2 + examples/api/livekit/README.md | 109 +++++++++---- examples/api/livekit/config.yaml | 9 ++ examples/api/livekit/server.py | 15 +- examples/api/livekit/server_test.py | 61 +++++++ 9 files changed, 294 insertions(+), 63 deletions(-) create mode 100644 examples/api/livekit/config.yaml create mode 100644 examples/api/livekit/server_test.py diff --git a/ak-py/pyproject.toml b/ak-py/pyproject.toml index 44484a28e..dc3e88712 100644 --- a/ak-py/pyproject.toml +++ b/ak-py/pyproject.toml @@ -122,6 +122,7 @@ livekit = [ "livekit-plugins-elevenlabs>=1.0.0", "livekit-plugins-google>=1.0.0", "livekit-api>=0.2.0", + "Pillow>=10.0.0", ] test = [ "pytest>=8.4.1", diff --git a/ak-py/src/agentkernel/core/config.py b/ak-py/src/agentkernel/core/config.py index b4430ff93..15f6125c2 100644 --- a/ak-py/src/agentkernel/core/config.py +++ b/ak-py/src/agentkernel/core/config.py @@ -141,6 +141,10 @@ class _LiveKitConfig(BaseModel): tts_provider: str = Field( default="openai", pattern="^(openai|elevenlabs|google)$", description="Text-to-Speech provider (openai, elevenlabs, or google)" ) + vision_enabled: bool = Field( + default=False, + description="Enable webcam vision capture. When enabled, the latest video frame is captured on each voice turn and processed through the multimodal pipeline.", + ) class _MultimodalStorageRedisConfig(BaseModel): diff --git a/ak-py/src/agentkernel/integration/livekit/__init__.py b/ak-py/src/agentkernel/integration/livekit/__init__.py index d3ad2d777..5d81f67a8 100644 --- a/ak-py/src/agentkernel/integration/livekit/__init__.py +++ b/ak-py/src/agentkernel/integration/livekit/__init__.py @@ -1,5 +1,5 @@ """ -Agent Kernel Integrations with LiveKit +Agent Kernel Integration with LiveKit This package contains the Agent Kernel integration implementations for LiveKit Voice Agents. """ @@ -11,6 +11,4 @@ except importlib.metadata.PackageNotFoundError: __version__ = "0.1.0" -from .livekit_handler import AgentKernelLLM, AgentLiveKitRequestHandler - -__all__ = ["AgentLiveKitRequestHandler", "AgentKernelLLM"] +from .livekit_handler import AgentLiveKitRequestHandler, LiveKitLLM diff --git a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py index 39e692e04..d95e9a12b 100644 --- a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py +++ b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py @@ -1,22 +1,26 @@ import asyncio +import base64 +import io import logging from typing import Awaitable, Callable, Optional from fastapi import APIRouter, HTTPException -from livekit import agents, api +from livekit import agents, api, rtc from livekit.agents import AgentServer, JobContext, WorkerOptions, WorkerType, llm from livekit.agents.types import DEFAULT_API_CONNECT_OPTIONS, NOT_GIVEN, APIConnectOptions, NotGivenOr from livekit.agents.voice import Agent as VoicePipelineAgent from livekit.agents.voice import AgentSession from livekit.plugins import deepgram, openai, silero +from PIL import Image from ...api import RESTRequestHandler from ...core import AgentService, Config +from ...core.model import AgentRequestImage, AgentRequestText logger = logging.getLogger("ak.integration.livekit") -class AgentKernelLLMStream(llm.LLMStream): +class LiveKitLLMStream(llm.LLMStream): """ A simple LLMStream implementation that yields a single response string. LiveKit's TTS engine consumes this stream and synthesizes it into speech. @@ -36,21 +40,30 @@ async def __anext__(self): text = self._text self._text = None - return llm.ChatChunk(id="agent_kernel_chunk", delta=llm.ChoiceDelta(content=text, role="assistant")) + return llm.ChatChunk(id="livekit_chunk", delta=llm.ChoiceDelta(content=text, role="assistant")) -class AgentKernelLLMStreamWrapper(llm.LLMStream): +class LiveKitLLMStreamWrapper(llm.LLMStream): """ An asynchronous generator wrapper that bridges LiveKit's streaming interface with Agent Kernel's request-response architecture. It awaits the Agent Kernel response and yields it to the LiveKit voice pipeline. """ - def __init__(self, parent_llm: llm.LLM, chat_ctx: llm.ChatContext, agent_name: str, session_id: str, user_message: str): + def __init__( + self, + parent_llm: llm.LLM, + chat_ctx: llm.ChatContext, + agent_name: str, + session_id: str, + user_message: str, + frame_data: Optional[str] = None, + ): super().__init__(parent_llm, chat_ctx=chat_ctx, tools=[], conn_options=DEFAULT_API_CONNECT_OPTIONS) self.agent_name = agent_name self.session_id = session_id self.user_message = user_message + self._frame_data = frame_data self._service = AgentService() self._fetched = False @@ -63,35 +76,42 @@ async def __anext__(self): self._fetched = True - # Select the agent and session self._service.select(name=self.agent_name, session_id=self.session_id) if not self._service.agent: return llm.ChatChunk( - id="agent_kernel_chunk", delta=llm.ChoiceDelta(content="Error: No agent available to handle this request.", role="assistant") + id="livekit_chunk", delta=llm.ChoiceDelta(content="Error: No agent available to handle this request.", role="assistant") ) try: - # Run the agent - reply = await self._service.run(self.user_message) - response_text = str(reply) + if self._frame_data: + requests = [ + AgentRequestText(text=self.user_message), + AgentRequestImage(image_data=self._frame_data, mime_type="image/jpeg", name="webcam_frame"), + ] + reply = await self._service.run_multi(requests) + response_text = reply.text if hasattr(reply, "text") else str(reply) + else: + reply = await self._service.run(self.user_message) + response_text = str(reply) except Exception as e: logger.error(f"Agent Kernel error: {e}", exc_info=True) response_text = "I'm sorry, I encountered an internal error while processing your request." - return llm.ChatChunk(id="agent_kernel_chunk", delta=llm.ChoiceDelta(content=response_text, role="assistant")) + return llm.ChatChunk(id="livekit_chunk", delta=llm.ChoiceDelta(content=response_text, role="assistant")) -class AgentKernelLLM(llm.LLM): +class LiveKitLLM(llm.LLM): """ A custom LiveKit LLM implementation that intercepts user speech (transcribed to text) - and routes it to the Agent Kernel runtime, bypassing direct LLM API calls. + and routes it to the Agent Kernel runtime. """ - def __init__(self, agent_name: str, session_id: str): + def __init__(self, agent_name: str, session_id: str, frame_holder: Optional[dict] = None): super().__init__() self.agent_name = agent_name self.session_id = session_id + self._frame_holder = frame_holder def chat( self, @@ -102,7 +122,7 @@ def chat( parallel_tool_calls: NotGivenOr[bool] = NOT_GIVEN, tool_choice: NotGivenOr[llm.ToolChoice] = NOT_GIVEN, extra_kwargs: NotGivenOr[dict] = NOT_GIVEN, - ) -> "AgentKernelLLMStreamWrapper | AgentKernelLLMStream": + ) -> "LiveKitLLMStreamWrapper | LiveKitLLMStream": """ Called by LiveKit's AgentSession when the user has finished speaking and the STT has finalized the transcript. @@ -115,16 +135,37 @@ def chat( break if not user_message: - return AgentKernelLLMStream(self, "I did not hear anything.", chat_ctx) + return LiveKitLLMStream(self, "I did not hear anything.", chat_ctx) logger.debug(f"Received transcribed user speech: {user_message}") - return AgentKernelLLMStreamWrapper( + # Grab and consume the latest video frame + frame_data = None + if self._frame_holder and self._frame_holder.get("frame"): + try: + frame = self._frame_holder.pop("frame") + # Convert to RGBA buffer + rgba_frame = frame.convert(rtc.VideoBufferType.RGBA) + # Create PIL image from raw bytes + image = Image.frombytes("RGBA", (rgba_frame.width, rgba_frame.height), rgba_frame.data) + # Convert to RGB to save as JPEG + rgb_image = image.convert("RGB") + # Save to buffer + buffer = io.BytesIO() + rgb_image.save(buffer, format="JPEG") + # Store as base64 + frame_data = base64.b64encode(buffer.getvalue()).decode("utf-8") + logger.debug("Attaching webcam frame to this voice turn") + except Exception as e: + logger.error(f"Failed to encode video frame for LLM: {e}") + + return LiveKitLLMStreamWrapper( parent_llm=self, chat_ctx=chat_ctx, agent_name=self.agent_name, session_id=self.session_id, user_message=user_message, + frame_data=frame_data, ) @@ -132,6 +173,10 @@ async def _default_entrypoint(ctx: JobContext): """ Default entrypoint for the LiveKit worker. Initializes an AgentSession using Deepgram (STT), OpenAI (TTS), and AgentKernel (LLM). + + When vision_enabled is true in config, the entrypoint also subscribes to video tracks + and captures the latest webcam frame on each voice turn, passing it through the + multimodal pipeline as an AgentRequestImage. """ logger.info(f"Connecting to room {ctx.room.name}") vad = silero.VAD.load() @@ -140,6 +185,8 @@ async def _default_entrypoint(ctx: JobContext): if not agent_name: logger.warning("No agent configured for LiveKit interactions. Set 'agent' under 'livekit' in config.yaml.") + vision_enabled = Config.get().livekit.vision_enabled + stt_provider = Config.get().livekit.stt_provider if stt_provider == "openai": from livekit.plugins import openai as lk_openai @@ -160,27 +207,82 @@ async def _default_entrypoint(ctx: JobContext): else: tts_plugin = openai.TTS() + # Shared mutable dict to pass the latest frame from the video capture task to the LLM + frame_holder = {} if vision_enabled else None + agent = VoicePipelineAgent( vad=vad, stt=stt_plugin, - llm=AgentKernelLLM(agent_name=agent_name, session_id=ctx.room.name), + llm=LiveKitLLM(agent_name=agent_name, session_id=ctx.room.name, frame_holder=frame_holder), tts=tts_plugin, instructions="You are a helpful voice assistant.", ) - await ctx.connect(auto_subscribe=agents.AutoSubscribe.AUDIO_ONLY) + if vision_enabled: + await ctx.connect(auto_subscribe=agents.AutoSubscribe.SUBSCRIBE_ALL) + logger.info("Vision enabled: subscribing to audio and video tracks") + else: + await ctx.connect(auto_subscribe=agents.AutoSubscribe.AUDIO_ONLY) session = AgentSession() await session.start(agent, room=ctx.room) + # If vision is enabled, start a background task to capture the latest video frame + if vision_enabled: + _start_video_capture(ctx.room, frame_holder) + + +def _start_video_capture(room, frame_holder: dict): + """ + Starts a background task that continuously reads video frames from the first + available video track in the room. Only the latest frame is kept in memory; + older frames are overwritten. + """ + video_stream = None + tasks = [] + + def _create_stream(track: rtc.Track): + nonlocal video_stream + if video_stream is not None: + video_stream.close() + + video_stream = rtc.VideoStream(track) + + async def _read_stream(): + async for event in video_stream: + try: + # Only store the raw frame to avoid CPU overhead on every tick + frame_holder["frame"] = event.frame + except Exception as e: + logger.debug(f"Failed to capture video frame: {e}") + + task = asyncio.create_task(_read_stream()) + task.add_done_callback(lambda t: tasks.remove(t) if t in tasks else None) + tasks.append(task) + + # Check for existing video tracks from remote participants + for participant in room.remote_participants.values(): + for publication in participant.track_publications.values(): + if publication.track and publication.track.kind == rtc.TrackKind.KIND_VIDEO: + _create_stream(publication.track) + logger.info("Started video frame capture from existing track") + return + + # Watch for new video tracks that are published later + @room.on("track_subscribed") + def _on_track_subscribed(track: rtc.Track, publication, participant): + if track.kind == rtc.TrackKind.KIND_VIDEO: + _create_stream(track) + logger.info("Started video frame capture from newly subscribed track") + class AgentLiveKitRequestHandler(RESTRequestHandler): """ - RESTRequestHandler for LiveKit Integration. + API routers that expose endpoints to interact with LiveKit using Agent Kernel. + Endpoints: + - GET /livekit/token: Generates a secure LiveKit Access Token for a frontend client to join the voice room. - This handler achieves two things: - 1. Exposes a REST API endpoint (`/livekit/token`) to generate secure access tokens for frontend clients. - 2. Runs a LiveKit Worker as a background asyncio task seamlessly tied to the FastAPI lifecycle. + This handler also runs a LiveKit Worker as a background asyncio task seamlessly tied to the FastAPI lifecycle. """ def __init__(self, entrypoint_fnc: Optional[Callable[[JobContext], Awaitable[None]]] = None): @@ -212,7 +314,7 @@ async def lifespan(r: APIRouter): if self.api_secret: kwargs["api_secret"] = self.api_secret - # Set port to 0 to assign a random port, avoiding conflicts on 8081 + # Set port to 0 to assign a random port kwargs["port"] = 0 # We initialize the AgentServer and start it as an asyncio task diff --git a/ak-py/uv.lock b/ak-py/uv.lock index d2014b7ea..d18f40546 100644 --- a/ak-py/uv.lock +++ b/ak-py/uv.lock @@ -125,6 +125,7 @@ livekit = [ { name = "livekit-plugins-openai", version = "1.5.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, { name = "livekit-plugins-silero", version = "1.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13' or sys_platform != 'win32'" }, { name = "livekit-plugins-silero", version = "1.5.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and sys_platform == 'win32'" }, + { name = "pillow" }, ] mcp = [ { name = "fastmcp" }, @@ -243,6 +244,7 @@ requires-dist = [ { name = "openinference-instrumentation-litellm", marker = "extra == 'crewai'", specifier = ">=0.1.28" }, { name = "openinference-instrumentation-openai-agents", marker = "extra == 'openai'", specifier = ">=1.4.0" }, { name = "pandas", marker = "extra == 'test'", specifier = ">=2.0.0" }, + { name = "pillow", marker = "extra == 'livekit'", specifier = ">=10.0.0" }, { name = "pydantic", specifier = ">=2.11.7" }, { name = "pydantic-settings", specifier = ">=2.10.1" }, { name = "pyjwt", marker = "extra == 'auth'", specifier = ">=2.0.0" }, diff --git a/examples/api/livekit/README.md b/examples/api/livekit/README.md index fdb0f9d47..cf9e0de7f 100644 --- a/examples/api/livekit/README.md +++ b/examples/api/livekit/README.md @@ -1,49 +1,102 @@ -# LiveKit Voice Integration Demo +# LiveKit Voice & Vision Integration Example -This example demonstrates how to use **LiveKit** as a voice interface for your Agent Kernel agents, running identically to the Slack and WhatsApp integrations. +This example demonstrates how to use **LiveKit** as a voice and vision interface for your Agent Kernel agents. It provides a real-time, low-latency conversational experience with optional webcam support. -By passing `AgentLiveKitRequestHandler` to `RESTAPI.run()`, Agent Kernel automatically: -1. Exposes a `/livekit/token` endpoint for your frontend client to connect securely. -2. Runs the LiveKit `VoicePipelineAgent` in the background within the FastAPI event loop. +## Overview -## How it works +This integration allows users to talk to an agent using their microphone and optionally show things via their webcam. The agent responds with a synthesized voice (TTS). -1. Your frontend fetches a secure token from `GET /livekit/token?room=my-room&identity=user1`. -2. The frontend connects to the LiveKit Room. -3. The background LiveKit Worker uses your configured Speech-to-Text provider (e.g. Deepgram or OpenAI) to transcribe the user's voice to text. -4. The custom `AgentKernelLLM` intercepts this text and hands it over to **Agent Kernel**. -5. Agent Kernel routes the text to your configured agent (with all memory/hooks preserved). -6. The generated text reply is sent to your configured Text-to-Speech provider (e.g. OpenAI or ElevenLabs), which synthesizes it into a voice stream and plays it to the user. +- **Voice**: STT (Deepgram/OpenAI) -> Agent Kernel -> TTS (OpenAI/ElevenLabs/Google) +- **Vision**: Webcam frames captured per voice turn -> Agent Kernel Multimodal Pipeline -> Agent Response + +## Prerequisites + +1. **LiveKit Cloud Account**: Create a project at [cloud.livekit.io](https://cloud.livekit.io/) +2. **LiveKit Credentials**: URL, API Key, and API Secret from your project settings. +3. **STT/TTS Provider API Keys**: + - OpenAI (for TTS and optionally STT) + - Deepgram (recommended for STT) + - ElevenLabs or Google (optional for TTS) ## Setup -1. Create a free account on [LiveKit Cloud](https://cloud.livekit.io/) and create a project. -2. Generate API Keys in the project settings. -3. Get API keys for OpenAI and Deepgram. -4. Copy `.env.example` to `.env` and fill in the values: +### 1. Configure Environment Variables + +Create a `.env` file or export these variables: ```bash -LIVEKIT_URL=wss://your-project-id.livekit.cloud -LIVEKIT_API_KEY=your_livekit_api_key -LIVEKIT_API_SECRET=your_livekit_api_secret +# LiveKit Credentials +export AK_LIVEKIT__URL="wss://your-project.livekit.cloud" +export AK_LIVEKIT__API_KEY="your_api_key" +export AK_LIVEKIT__API_SECRET="your_api_secret" -OPENAI_API_KEY=your_openai_api_key -DEEPGRAM_API_KEY=your_deepgram_api_key +# Provider Keys +export OPENAI_API_KEY="your_openai_key" +export DEEPGRAM_API_KEY="your_deepgram_key" ``` -## Running the Demo +### 2. Configure Agent Kernel + +Create `config.yaml`: + +```yaml +livekit: + agent: "my-voice-agent" + stt_provider: "deepgram" # deepgram or openai + tts_provider: "openai" # openai, elevenlabs, or google + vision_enabled: true # Set to true to enable webcam vision + +# Required when vision_enabled is true +multimodal: + enabled: true # Required to process webcam frames + description_model: "gpt-4o" # Vision model to describe frames +``` + +## Build & Run + +Install dependencies: -1. Install dependencies: ```bash -uv sync +./build.sh ``` -2. Run the REST API: +Start the server: + ```bash uv run server.py ``` -3. The server will start on `http://0.0.0.0:8000`. You can get a test token by visiting: - `http://localhost:8000/livekit/token?room=my-room&identity=test-user` +The server will start on `http://localhost:8000`. + +## Testing + +### 1. Get a Token +Visit: `http://localhost:8000/livekit/token?room=demo-room&identity=user1` +Copy the returned `token`. + +### 2. Connect via LiveKit Playground +1. Go to your [LiveKit Cloud Console](https://cloud.livekit.io/). +2. Select your project -> **Agents** -> **Playground**. +3. Click **Connect** and paste your token (or join the room `demo-room` as `user1`). +4. **Talk**: Start speaking. The agent should respond. +5. **Vision**: Turn on your camera. Ask "What do you see?". The agent should describe your surroundings. + +## Troubleshooting + +### Connection Errors +- Ensure `AK_LIVEKIT__URL` starts with `wss://`. +- Check if your API Key and Secret are correct in the console. + +### No Voice Response +- Check server logs for STT/TTS errors (e.g., "Authentication Fails" or "Quota Exceeded"). +- Ensure your microphone is not muted and permissions are granted in the browser. + +### Vision Not Working +- Ensure `vision_enabled: true` AND `multimodal.enabled: true` are set in `config.yaml`. +- Verify you have provided a vision-capable model in `multimodal.description_model` (like `gpt-4o`). +- Check server logs for "Attaching webcam frame" messages. + +## Resources -4. To actually test the voice call, open the LiveKit Console in your browser (LiveKit Cloud dashboard -> Agents -> Playground), or build a simple React frontend using `@livekit/components-react`, and connect to the room. The agent will greet you and you can start talking! +- [LiveKit Agents Documentation](https://docs.livekit.io/agents/) +- [Agent Kernel Documentation](../../../docs/) diff --git a/examples/api/livekit/config.yaml b/examples/api/livekit/config.yaml new file mode 100644 index 000000000..e2f9831b8 --- /dev/null +++ b/examples/api/livekit/config.yaml @@ -0,0 +1,9 @@ +livekit: + agent: "my-voice-agent" + stt_provider: "deepgram" + tts_provider: "openai" + vision_enabled: true + +multimodal: + enabled: true + description_model: "gpt-4o" diff --git a/examples/api/livekit/server.py b/examples/api/livekit/server.py index f026bffa0..5054724fa 100644 --- a/examples/api/livekit/server.py +++ b/examples/api/livekit/server.py @@ -1,15 +1,16 @@ from agentkernel.api import RESTAPI -from agentkernel.livekit import AgentLiveKitRequestHandler +from agentkernel.integration.livekit import AgentLiveKitRequestHandler from agentkernel.openai import OpenAIModule -from agents import Agent as OpenAIAgent +from agents import Agent -voice_agent = OpenAIAgent( +general_agent = Agent( name="my-voice-agent", - handoff_description="Agent for voice interactions", - instructions="You are a helpful and concise voice assistant. Do not use markdown or emojis.", + instructions="You are a helpful and concise voice assistant. Do not use markdown or emojis. You may receive images from the user's webcam. If an image is attached, incorporate what you see into your response naturally.", ) -OpenAIModule([voice_agent]) +OpenAIModule([general_agent]) + if __name__ == "__main__": - RESTAPI.run([AgentLiveKitRequestHandler()]) + handler = AgentLiveKitRequestHandler() + RESTAPI.run([handler]) diff --git a/examples/api/livekit/server_test.py b/examples/api/livekit/server_test.py new file mode 100644 index 000000000..f5d5fadb7 --- /dev/null +++ b/examples/api/livekit/server_test.py @@ -0,0 +1,61 @@ +import asyncio +import os +import subprocess +import sys + +import httpx +import pytest +import pytest_asyncio + +pytestmark = pytest.mark.asyncio(loop_scope="session") + + +class APITestClient: + def __init__(self, url): + self.url = url + + async def send(self, endpoint: str, method: str = "post", body=None, params=None): + payload = {} if body is None else body + async with httpx.AsyncClient(timeout=10.0) as client: + resp = await client.request(method, f"{self.url}{endpoint}", json=payload, params=params) + resp.raise_for_status() + data = resp.json() + return data + + +@pytest_asyncio.fixture(scope="session", loop_scope="session") +async def http_client(): + my_env = os.environ.copy() + # Mocking LiveKit credentials for the server to start + my_env["AK_LIVEKIT__API_KEY"] = "test_key" + my_env["AK_LIVEKIT__API_SECRET"] = "test_secret" + my_env["AK_LIVEKIT__URL"] = "wss://test.livekit.cloud" + + proc = subprocess.Popen( + [sys.executable, "server.py"], + stdout=sys.stdout, + stderr=sys.stderr, + env=my_env, + ) + await asyncio.sleep(5) + try: + yield APITestClient(f"http://localhost:8000") + finally: + proc.terminate() + proc.wait() + + +@pytest.mark.asyncio +async def test_health(http_client): + response = await http_client.send("/health", method="get") + assert response == {"status": "ok"} + + +@pytest.mark.asyncio +async def test_livekit_token(http_client): + # Test the token generation endpoint + params = {"room": "test-room", "identity": "test-user"} + response = await http_client.send("/livekit/token", method="get", params=params) + + assert "token" in response + assert isinstance(response["token"], str) From 89458f3e77ff2ad6e140175e564ec194310c31d6 Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Tue, 19 May 2026 15:18:53 +0530 Subject: [PATCH 6/9] refactor: .env --- examples/api/livekit/.env.example | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 examples/api/livekit/.env.example diff --git a/examples/api/livekit/.env.example b/examples/api/livekit/.env.example deleted file mode 100644 index fc6f75954..000000000 --- a/examples/api/livekit/.env.example +++ /dev/null @@ -1,6 +0,0 @@ -LIVEKIT_URL=wss://your-project-id.livekit.cloud -LIVEKIT_API_KEY=your_livekit_api_key -LIVEKIT_API_SECRET=your_livekit_api_secret - -OPENAI_API_KEY=your_openai_api_key -DEEPGRAM_API_KEY=your_deepgram_api_key From 56cd02d6eb81ad0d3ad13b4780e4f9ba45cd89df Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Tue, 19 May 2026 15:33:19 +0530 Subject: [PATCH 7/9] fix:docs --- ak-py/src/agentkernel/integration/livekit/README.md | 2 +- docs/docs/integrations/livekit.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ak-py/src/agentkernel/integration/livekit/README.md b/ak-py/src/agentkernel/integration/livekit/README.md index 3cf0a8135..38f835ba2 100644 --- a/ak-py/src/agentkernel/integration/livekit/README.md +++ b/ak-py/src/agentkernel/integration/livekit/README.md @@ -27,7 +27,7 @@ pip install "agentkernel[livekit]" You will also need: 1. A free account on [LiveKit Cloud](https://cloud.livekit.io/). -2. Your LiveKit API keys (`LIVEKIT_URL`, `LIVEKIT_API_KEY`, `LIVEKIT_API_SECRET`). +2. Your LiveKit API keys (`AK_LIVEKIT__URL`, `AK_LIVEKIT__API_KEY`, `AK_LIVEKIT__API_SECRET`). 3. API keys for your preferred STT/TTS providers (e.g., `OPENAI_API_KEY`, `DEEPGRAM_API_KEY`, etc.). ## Configuration diff --git a/docs/docs/integrations/livekit.md b/docs/docs/integrations/livekit.md index e5698752b..06c27d231 100644 --- a/docs/docs/integrations/livekit.md +++ b/docs/docs/integrations/livekit.md @@ -31,7 +31,7 @@ pip install "agentkernel[livekit]" You will also need: 1. A free account on [LiveKit Cloud](https://cloud.livekit.io/). -2. Your LiveKit API keys (`LIVEKIT_URL`, `LIVEKIT_API_KEY`, `LIVEKIT_API_SECRET`). +2. Your LiveKit API keys (`AK_LIVEKIT__URL`, `AK_LIVEKIT__API_KEY`, `AK_LIVEKIT__API_SECRET`). 3. API keys for your preferred STT/TTS providers (e.g., `OPENAI_API_KEY`, `DEEPGRAM_API_KEY`, etc.). ## Configuration From b76e87e78a4b681f06516d446693e197fc6adea6 Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Tue, 19 May 2026 15:50:17 +0530 Subject: [PATCH 8/9] fix: copilot comments --- ak-py/src/agentkernel/integration/livekit/README.md | 8 ++++---- .../integration/livekit/livekit_handler.py | 13 ++++++++++++- docs/docs/integrations/livekit.md | 8 ++++---- examples/api/livekit/server.py | 2 +- 4 files changed, 21 insertions(+), 10 deletions(-) diff --git a/ak-py/src/agentkernel/integration/livekit/README.md b/ak-py/src/agentkernel/integration/livekit/README.md index 38f835ba2..d23c19f8b 100644 --- a/ak-py/src/agentkernel/integration/livekit/README.md +++ b/ak-py/src/agentkernel/integration/livekit/README.md @@ -11,7 +11,7 @@ LiveKit handles the WebRTC voice connection, Speech-to-Text (STT), and Text-to-S When you use the LiveKit integration: 1. The user speaks into their microphone via a LiveKit frontend. 2. LiveKit's **Speech-to-Text (STT)** plugin transcribes the voice into text. -3. The transcribed text is intercepted by our custom `AgentKernelLLM` bridge. +3. The transcribed text is intercepted by our custom `LiveKitLLM` bridge. 4. The bridge forwards the text to **Agent Kernel** (`AgentService().run(text)`). 5. Agent Kernel's selected agent processes the text and generates a response. 6. The response is sent back to LiveKit's **Text-to-Speech (TTS)** plugin. @@ -39,9 +39,9 @@ livekit: agent: "my-voice-agent" stt_provider: "deepgram" # Options: deepgram, openai tts_provider: "openai" # Options: openai, elevenlabs, google - url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var - api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var - api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var + url: "wss://your-project-id.livekit.cloud" # Optional, can use AK_LIVEKIT__URL env var + api_key: "your_api_key" # Optional, can use AK_LIVEKIT__API_KEY env var + api_secret: "your_api_secret" # Optional, can use AK_LIVEKIT__API_SECRET env var ``` You can also set these via environment variables: diff --git a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py index d95e9a12b..f4ec5e2d0 100644 --- a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py +++ b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py @@ -339,9 +339,20 @@ async def lifespan(r: APIRouter): def get_token(room: str, identity: str): """ Generates a secure LiveKit Access Token for a frontend client to join the voice room. + :param room: The name of the room the client is joining. + :param identity: The identity of the client. + :return: A dictionary containing the generated JWT token. + """ if not self.api_key or not self.api_secret: - raise HTTPException(status_code=500, detail="LiveKit API Key or Secret not configured in config.yaml under 'livekit'") + raise HTTPException( + status_code=500, + detail=( + "LiveKit API key or secret not configured. Set them in config.yaml under " + "'livekit' or via environment variables such as " + "AK_LIVEKIT__API_KEY and AK_LIVEKIT__API_SECRET." + ), + ) token = api.AccessToken(self.api_key, self.api_secret) token.with_identity(identity) diff --git a/docs/docs/integrations/livekit.md b/docs/docs/integrations/livekit.md index 06c27d231..3107b2d46 100644 --- a/docs/docs/integrations/livekit.md +++ b/docs/docs/integrations/livekit.md @@ -15,7 +15,7 @@ LiveKit handles the WebRTC voice connection, Speech-to-Text (STT), and Text-to-S When you use the LiveKit integration: 1. The user speaks into their microphone via a LiveKit frontend. 2. LiveKit's **Speech-to-Text (STT)** plugin transcribes the voice into text. -3. The transcribed text is intercepted by our custom `AgentKernelLLM` bridge. +3. The transcribed text is intercepted by our custom `LiveKitLLM` bridge. 4. The bridge forwards the text to **Agent Kernel** (`AgentService().run(text)`). 5. Agent Kernel's selected agent processes the text and generates a response. 6. The response is sent back to LiveKit's **Text-to-Speech (TTS)** plugin. @@ -43,9 +43,9 @@ livekit: agent: "my-voice-agent" stt_provider: "deepgram" # Options: deepgram, openai tts_provider: "openai" # Options: openai, elevenlabs, google - url: "wss://your-project-id.livekit.cloud" # Optional, can use LIVEKIT_URL env var - api_key: "your_api_key" # Optional, can use LIVEKIT_API_KEY env var - api_secret: "your_api_secret" # Optional, can use LIVEKIT_API_SECRET env var + url: "wss://your-project-id.livekit.cloud" # Optional, can use AK_LIVEKIT__URL env var + api_key: "your_api_key" # Optional, can use AK_LIVEKIT__API_KEY env var + api_secret: "your_api_secret" # Optional, can use AK_LIVEKIT__API_SECRET env var ``` You can also set these via environment variables: diff --git a/examples/api/livekit/server.py b/examples/api/livekit/server.py index 5054724fa..c8f6ccdb4 100644 --- a/examples/api/livekit/server.py +++ b/examples/api/livekit/server.py @@ -1,5 +1,5 @@ from agentkernel.api import RESTAPI -from agentkernel.integration.livekit import AgentLiveKitRequestHandler +from agentkernel.livekit import AgentLiveKitRequestHandler from agentkernel.openai import OpenAIModule from agents import Agent From 7c95dbf5c32235d54ba9f2089bc96e735b8142a1 Mon Sep 17 00:00:00 2001 From: pulinduvidmal Date: Tue, 19 May 2026 16:00:51 +0530 Subject: [PATCH 9/9] fix: add optional auth_dependency --- .../integration/livekit/livekit_handler.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py index f4ec5e2d0..a7f580e43 100644 --- a/ak-py/src/agentkernel/integration/livekit/livekit_handler.py +++ b/ak-py/src/agentkernel/integration/livekit/livekit_handler.py @@ -4,7 +4,7 @@ import logging from typing import Awaitable, Callable, Optional -from fastapi import APIRouter, HTTPException +from fastapi import APIRouter, Depends, HTTPException from livekit import agents, api, rtc from livekit.agents import AgentServer, JobContext, WorkerOptions, WorkerType, llm from livekit.agents.types import DEFAULT_API_CONNECT_OPTIONS, NOT_GIVEN, APIConnectOptions, NotGivenOr @@ -285,9 +285,14 @@ class AgentLiveKitRequestHandler(RESTRequestHandler): This handler also runs a LiveKit Worker as a background asyncio task seamlessly tied to the FastAPI lifecycle. """ - def __init__(self, entrypoint_fnc: Optional[Callable[[JobContext], Awaitable[None]]] = None): + def __init__( + self, + entrypoint_fnc: Optional[Callable[[JobContext], Awaitable[None]]] = None, + auth_dependency: Optional[Callable] = None, + ): self._log = logging.getLogger("ak.api.livekit") self._entrypoint = entrypoint_fnc or _default_entrypoint + self._auth_dependency = auth_dependency self._worker_task = None self._server = None @@ -335,7 +340,9 @@ async def lifespan(r: APIRouter): router = APIRouter(prefix="/livekit", tags=["LiveKit Integration"], lifespan=lifespan) - @router.get("/token") + dependencies = [Depends(self._auth_dependency)] if self._auth_dependency else [] + + @router.get("/token", dependencies=dependencies) def get_token(room: str, identity: str): """ Generates a secure LiveKit Access Token for a frontend client to join the voice room.