# Installation > Add pipedog to a Bun, Node, Deno or Cloudflare Workers project. Source: https://polvallverdu.github.io/pipedog/docs/installation/ pipedog is split into packages, like Pipecat's optional extras. They are published on npm under the `@pipedog` scope and released together at one version: upgrade them together. | Package | What | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `@pipedog/asyncio` | asyncio semantics for JavaScript: tasks, cooperative cancellation, queues, events | | `@pipedog/core` | frames, processors, pipelines, workers, bus, observers, RTVI, base services, transports and serializers | | `@pipedog/tracing` | OpenTelemetry setup (`setupTracing()`, OTLP and console exporters), like `pipecat-ai[tracing]` | | `@pipedog/sentry` | [Sentry metrics](https://polvallverdu.github.io/pipedog/docs/concepts/sentry-metrics.md): `SentryMetrics` reports TTFB and processing time as Sentry transactions, with the Sentry SDK of your runtime | | `@pipedog/audio-silero`, `@pipedog/audio-smart-turn`, `@pipedog/onnx` | Silero VAD and Smart Turn (local v3, and an HTTP analyzer for a remote endpoint), and the ONNX backend they run on | | `@pipedog/audio-ten-vad` | [TEN VAD](https://polvallverdu.github.io/pipedog/docs/audio/ten-vad.md), an opt-in alternative to Silero on TEN's WebAssembly build, which you obtain from TEN (under TEN's license) and pass in | | `@pipedog/audio-rnnoise-filter`, `@pipedog/audio-soundfile-mixer`, `@pipedog/audio-ducking` | RNNoise noise suppression (WebAssembly), background sound from WAV files mixed into the bot's audio, and ducking (the bot's voice drops while the user talks over it) | | `@pipedog/openai`, `@pipedog/google`, `@pipedog/anthropic`, `@pipedog/azure`, `@pipedog/aws` | LLM, speech, realtime and image services | | `@pipedog/deepgram`, `@pipedog/cartesia`, `@pipedog/elevenlabs`, `@pipedog/inworld` | speech-to-text and text-to-speech (Inworld also realtime) | | `@pipedog/cloudflare` | [Cloudflare Workers AI](https://polvallverdu.github.io/pipedog/docs/deployment/cloudflare-workers-ai.md): Flux, Nova-3 and Whisper speech-to-text, Aura and MeloTTS text-to-speech, LLMs and Smart Turn v2, over the `AI` binding or the REST API | | `@pipedog/whisper`, `@pipedog/moonshine`, `@pipedog/funasr` | local speech-to-text on ONNX Runtime, no API key: [Whisper](https://polvallverdu.github.io/pipedog/docs/services/stt/whisper.md) (also the base for Whisper-compatible APIs), [Moonshine](https://polvallverdu.github.io/pipedog/docs/services/stt/moonshine.md), [FunASR SenseVoice](https://polvallverdu.github.io/pipedog/docs/services/stt/funasr.md) | | `@pipedog/kokoro`, `@pipedog/piper`, `@pipedog/pocket-tts`, `@pipedog/espeak-ng` | local text-to-speech on ONNX Runtime, no API key: [Kokoro](https://polvallverdu.github.io/pipedog/docs/services/tts/kokoro.md), [Piper](https://polvallverdu.github.io/pipedog/docs/services/tts/piper.md) (also over HTTP), [Pocket TTS](https://polvallverdu.github.io/pipedog/docs/services/tts/pocket-tts.md), and the eSpeak NG phonemizer Kokoro and Piper use | | `@pipedog/rime`, `@pipedog/fish`, `@pipedog/hume` | text-to-speech | | `@pipedog/assemblyai`, `@pipedog/speechmatics`, `@pipedog/gladia`, `@pipedog/soniox`, `@pipedog/zoom-ai` | speech-to-text (AssemblyAI, Speechmatics and Soniox also text-to-speech) | | `@pipedog/neuphonic`, `@pipedog/speechify`, `@pipedog/minimax`, `@pipedog/resembleai`, `@pipedog/camb`, `@pipedog/asyncai`, `@pipedog/bland` | text-to-speech, one package per provider | | `@pipedog/ultravox` | Ultravox realtime speech-to-speech | | `@pipedog/groq`, `@pipedog/mistral`, `@pipedog/together`, `@pipedog/xai` | OpenAI-compatible LLMs with the provider's STT and TTS (xAI also realtime); `@pipedog/grok` is the deprecated alias of `@pipedog/xai` | | `@pipedog/baseten`, `@pipedog/cerebras`, `@pipedog/crusoe`, `@pipedog/deepseek`, `@pipedog/fireworks`, `@pipedog/nebius`, `@pipedog/novita`, `@pipedog/ollama`, `@pipedog/openrouter`, `@pipedog/qwen`, `@pipedog/sambanova` | OpenAI-compatible LLMs, one package per provider | | `@pipedog/sarvam`, `@pipedog/smallest`, `@pipedog/gradium`, `@pipedog/meta`, `@pipedog/inception` | Sarvam (LLM, STT, TTS), Smallest AI (LLM, STT, TTS), Gradium (STT, TTS), Meta (STT) and Inception (LLM) | | `@pipedog/nvidia` | [NVIDIA](https://polvallverdu.github.io/pipedog/docs/services/llm/nvidia.md) NIM LLMs, and Nemotron Omni, an LLM that hears the user's speech | | `@pipedog/tone` | the models for [Pipecat Tone](https://polvallverdu.github.io/pipedog/docs/concepts/tone.md)'s reader and tagger processors (expressive conversation, alpha) | | `@pipedog/perplexity` | [Perplexity](https://polvallverdu.github.io/pipedog/docs/services/llm/perplexity.md)'s Agent API: web-search answers over the OpenAI Responses protocol | | `@pipedog/langchain` | the LangChain processor | | `@pipedog/ai-sdk` | [Vercel AI SDK](https://polvallverdu.github.io/pipedog/docs/services/llm/ai-sdk.md): any AI SDK language model as the LLM service | | `@pipedog/flows` | [Flows](https://polvallverdu.github.io/pipedog/docs/flows.md): structured conversations from nodes, functions and actions | | `@pipedog/transport-websocket`, `@pipedog/transport-smallwebrtc` | transports | | `@pipedog/transport-cloudflare-realtime` | [Cloudflare Realtime](https://polvallverdu.github.io/pipedog/docs/transports/cloudflare-realtime.md): WebRTC users through the Realtime SFU, for bots in Workers and Durable Objects | | `@pipedog/transport-livekit` | [LiveKit](https://polvallverdu.github.io/pipedog/docs/transports/livekit.md) rooms (needs `@livekit/rtc-node`) | | `@pipedog/transport-whatsapp` | [WhatsApp](https://polvallverdu.github.io/pipedog/docs/transports/whatsapp.md) Business voice calls, on SmallWebRTC | | `@pipedog/transport-local` | [local audio](https://polvallverdu.github.io/pipedog/docs/transports/local-audio.md): microphone and speakers through sox or ffmpeg | | `@pipedog/heygen`, `@pipedog/transport-heygen` | [HeyGen](https://polvallverdu.github.io/pipedog/docs/services/video/heygen.md) avatars, as a video service and as a transport | | `@pipedog/serializer-protobuf`, `@pipedog/serializer-rtvi-client` | serializers for Pipecat clients | | `@pipedog/serializer-twilio`, `@pipedog/serializer-telnyx`, `@pipedog/serializer-plivo`, `@pipedog/serializer-exotel`, `@pipedog/serializer-vonage`, `@pipedog/serializer-genesys` | telephony serializers (see [Telephony](https://polvallverdu.github.io/pipedog/docs/telephony.md)) | | `@pipedog/runner` | the [development runner](https://polvallverdu.github.io/pipedog/docs/runner.md): `main()`, `createTransport()`, the prebuilt client | | `@pipedog/extensions` | [telephony extensions](https://polvallverdu.github.io/pipedog/docs/telephony/extensions.md): `IVRNavigator` for phone menus and `VoicemailDetector` for outbound calls | | `@pipedog/evals` | [evals](https://polvallverdu.github.io/pipedog/docs/evals.md): end-to-end tests of a bot with scripted or simulated users and an LLM judge, and the `pipedog-eval` CLI | | `@pipedog/cli` | the [`pipedog` command](https://polvallverdu.github.io/pipedog/docs/cli.md): `pipedog init` scaffolds a bot project and sets up coding agents, `pipedog eval` runs evals | | `@pipedog/resampler-wasm`, `@pipedog/sentencex-wasm` | high-quality resampling and sentence segmentation, compiled to WebAssembly | | `@pipedog/effect` | the [Effect adapter](https://polvallverdu.github.io/pipedog/docs/guides/effect.md): run a pipeline as a scoped Effect, frames in and out as `Stream`s, processors as Effect functions | | `@pipedog/mcp-client` | the [MCP client](https://polvallverdu.github.io/pipedog/docs/services/mcp-client.md): `MCPClient` connects to an MCP server over stdio, SSE or streamable HTTP and gives its tools to an LLM service | | `@pipedog/mcp` | the docs as a local MCP server for coding agents (see [Docs for AI tools](https://polvallverdu.github.io/pipedog/docs/guides/llms/#mcp-server)) | To start a project from a template instead, run `bunx @pipedog/cli init` (see [CLI](https://polvallverdu.github.io/pipedog/docs/cli.md)): it writes a bot with the packages below already in its `package.json`. Where Python installs `pipecat-ai[deepgram,openai]`, you add `@pipedog/core` plus `@pipedog/deepgram` and `@pipedog/openai`. [Services](https://polvallverdu.github.io/pipedog/docs/services.md) lists every provider and its package, and [Transports](https://polvallverdu.github.io/pipedog/docs/transports.md) the transports. ## Package managers [#package-managers] ```bash bun add @pipedog/core @pipedog/asyncio ``` ```bash npm install @pipedog/core @pipedog/asyncio ``` ```bash pnpm add @pipedog/core @pipedog/asyncio ``` ```bash deno add npm:@pipedog/core npm:@pipedog/asyncio ``` ## Requirements [#requirements] * **Bun**, **Node.js** 22 or later, **Deno**, or **Cloudflare Workers** (with the `nodejs_compat` compatibility flag, which provides `AsyncLocalStorage`). * The npm packages ship compiled JavaScript (ES modules) with `.d.ts` types, so every runtime and bundler loads them as they are. * From source, the packages are TypeScript written with erasable syntax only (no `enum`, `namespace` or parameter properties), so Bun and Deno run them directly and Node runs them with its built-in type stripping. If you type-check against the sources with `tsc`, use `"moduleResolution": "Bundler"` (or `"NodeNext"`) and `"allowImportingTsExtensions": true`. ## Imports [#imports] Modules are imported by their upstream path, so a Pipecat import translates directly: ```python from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.worker import PipelineParams, PipelineWorker from pipecat.workers.runner import WorkerRunner ``` ```ts import { Pipeline } from "@pipedog/core/pipeline/pipeline"; import { PipelineParams, PipelineWorker } from "@pipedog/core/pipeline/worker"; import { WorkerRunner } from "@pipedog/core/workers/runner"; ``` ## From source [#from-source] To work on pipedog itself, or to run unreleased changes: pipedog is a Bun monorepo. Clone it, install, and add your app as a workspace (for example under `examples/`), depending on the packages with `workspace:*`: ```bash bun install bun test # the ported upstream test suite bun run typecheck # tsc over every package ``` ```json title="examples/my-bot/package.json" { "name": "my-bot", "private": true, "type": "module", "dependencies": { "@pipedog/asyncio": "workspace:*", "@pipedog/core": "workspace:*" } } ``` Then continue with the [Quickstart](https://polvallverdu.github.io/pipedog/docs/quickstart.md).