# Pipecat

## Docs

- [agent](https://docs.pipecat.ai/api-reference/cli/cloud/agent.md): Manage agent deployments
- [auth](https://docs.pipecat.ai/api-reference/cli/cloud/auth.md): Authentication and authorization commands
- [build](https://docs.pipecat.ai/api-reference/cli/cloud/build.md): Manage cloud builds
- [deploy](https://docs.pipecat.ai/api-reference/cli/cloud/deploy.md): Create or modify an agent deployment
- [docker](https://docs.pipecat.ai/api-reference/cli/cloud/docker.md): Build and push Docker images for agent deployments
- [organizations](https://docs.pipecat.ai/api-reference/cli/cloud/organizations.md): Organization and API key management commands
- [regions](https://docs.pipecat.ai/api-reference/cli/cloud/regions.md): View available deployment regions
- [secrets](https://docs.pipecat.ai/api-reference/cli/cloud/secrets.md): Secret sets and secret management commands
- [init](https://docs.pipecat.ai/api-reference/cli/init.md): Scaffold a new Pipecat project with an interactive wizard or CLI flags
- [CLI Overview](https://docs.pipecat.ai/api-reference/cli/overview.md): Command-line tool for scaffolding, deploying, and monitoring Pipecat bots
- [tail](https://docs.pipecat.ai/api-reference/cli/tail.md): A terminal dashboard for monitoring Pipecat sessions in real-time
- [Create an Agent](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-create.md): Create a new agent with a container image and configuration settings.
- [Delete an Agent](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-delete.md): Permanently delete an agent and its associated resources.
- [Retrieve Agent Logs](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-get-logs.md): Get execution logs for an agent with filtering and pagination options.
- [Get Session Details](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-get-session.md): Retrieve detailed information about a specific session including resource metrics and meeting IDs.
- [List All Sessions](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-get-sessions.md): Get sessions for an agent with filtering and pagination options.
- [List All Agents](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-list-all.md): Retrieve a list of all agents in your organization with their status and configuration.
- [Get Agent Details](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-list-one.md): Retrieve detailed information about a specific agent including its deployment status.
- [Update an Agent](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/agent-update.md): Update an existing agent's configuration or deploy a new version.
- [Create Build](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/build-create.md): Create a new build or return a cached build for your uploaded context
- [Get Build](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/build-get.md): Get the current status of a build
- [Get Build Logs](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/build-get-logs.md): Retrieve the logs for a specific build
- [List Builds](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/build-list.md): List all builds for your organization with optional filters
- [Get Upload URL](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/build-upload-url.md): Get a pre-signed URL to upload your Docker build context
- [Get Organization Properties](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/properties-get.md): Retrieve current values of configurable properties for your organization.
- [Update Organization Properties](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/properties-update.md): Update configurable properties for your organization, such as the default deployment region.
- [List Regions](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/regions-list.md): Retrieve a list of all available regions for deploying agents and storing secrets.
- [Create or Update Secrets](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/secret-create-update.md): Create or update a secret set and its values
- [Delete Entire Secret Set](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/secret-delete-secret-set.md): Delete an entire secret set by its name. This operation removes the secret set and all associated key-value pairs.
- [Delete Specific Secret From Set](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/secret-delete-specific-secret.md): Delete a specific secret from a set by its key. This operation removes the key-value pair from the specified secret set.
- [List All Secret Sets](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/secret-list-all.md): Retrieve a list of all secret sets in your organization with their name and secret type.
- [Get Secret Set Details](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/secret-list-one.md): Retrieve key and value pairs for a specific secret set.
- [Session API](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/session-proxy.md): Send HTTP requests directly to your running Pipecat Cloud agent sessions.
- [Start an Agent session](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/start.md): Start a new session with a deployed agent.
- [Stop an Agent session](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/endpoint/stop.md): Stop a running agent session and clean up its resources.
- [Examples](https://docs.pipecat.ai/api-reference/pipecat-cloud/sdk-reference/examples.md): Common usage patterns for the Pipecat Cloud Python SDK
- [Error Handling](https://docs.pipecat.ai/api-reference/pipecat-cloud/sdk-reference/exceptions.md): Managing errors with the Pipecat Cloud Python SDK
- [Python SDK Overview](https://docs.pipecat.ai/api-reference/pipecat-cloud/sdk-reference/overview.md): Introduction to the Pipecat Cloud Python SDK
- [Session Arguments](https://docs.pipecat.ai/api-reference/pipecat-cloud/sdk-reference/session-arguments.md): Understanding the arguments received by bot entry points
- [Session Management](https://docs.pipecat.ai/api-reference/pipecat-cloud/sdk-reference/sessions.md): Managing agent sessions with the Pipecat Cloud Python SDK
- [Exceptions](https://docs.pipecat.ai/api-reference/pipecat-flows/exceptions.md): Error handling hierarchy for Pipecat Flows
- [FlowManager](https://docs.pipecat.ai/api-reference/pipecat-flows/flow-manager.md): Core orchestration class for managing conversation flows
- [Pipecat Flows Overview](https://docs.pipecat.ai/api-reference/pipecat-flows/overview.md): Reference docs for Pipecat's conversation flow system
- [Types](https://docs.pipecat.ai/api-reference/pipecat-flows/types.md): Type definitions and configuration schemas for Pipecat Flows
- [FrameProcessor Events](https://docs.pipecat.ai/api-reference/server/events/frame-processor-events.md): Handle errors and monitor frame processing with events available on every processor
- [Events Overview](https://docs.pipecat.ai/api-reference/server/events/overview.md): Monitor and respond to lifecycle changes using Pipecat's event system
- [Service Events](https://docs.pipecat.ai/api-reference/server/events/service-events.md): Handle connection lifecycle and service-specific events for STT, TTS, and LLM services
- [Control Frames](https://docs.pipecat.ai/api-reference/server/frames/control-frames.md): Reference for ControlFrame types: pipeline lifecycle, response boundaries, service settings, and runtime configuration
- [Data Frames](https://docs.pipecat.ai/api-reference/server/frames/data-frames.md): Reference for DataFrame types: audio, image, text, transcription, and transport messages
- [LLM Frames](https://docs.pipecat.ai/api-reference/server/frames/llm-frames.md): LLM context frame and function calling helper dataclasses
- [Frames](https://docs.pipecat.ai/api-reference/server/frames/overview.md): Frame categories, processing behavior, and common patterns for Pipecat pipelines
- [System Frames](https://docs.pipecat.ai/api-reference/server/frames/system-frames.md): Reference for SystemFrame types: pipeline lifecycle, interruptions, speaking state, input, and diagnostics
- [Pipecat Server Overview](https://docs.pipecat.ai/api-reference/server/introduction.md): API reference for the Pipecat Python framework.
- [Pipeline Heartbeats](https://docs.pipecat.ai/api-reference/server/pipeline/heartbeats.md): Monitor pipeline health with heartbeat frames
- [ParallelPipeline](https://docs.pipecat.ai/api-reference/server/pipeline/parallel-pipeline.md): Run multiple pipeline branches in parallel, with synchronized inputs and outputs for complex flows
- [Pipeline Idle Detection](https://docs.pipecat.ai/api-reference/server/pipeline/pipeline-idle-detection.md): Automatically detect and handle idle pipelines with no bot activity
- [PipelineParams](https://docs.pipecat.ai/api-reference/server/pipeline/pipeline-params.md): Configure pipeline execution with PipelineParams
- [PipelineTask](https://docs.pipecat.ai/api-reference/server/pipeline/pipeline-task.md): Manage pipeline execution and lifecycle with PipelineTask
- [Google RTVI Observer](https://docs.pipecat.ai/api-reference/server/rtvi/google-rtvi-observer.md): Adding support for sending search responses to RTVI clients
- [RTVI (Real-Time Voice Interaction)](https://docs.pipecat.ai/api-reference/server/rtvi/introduction.md): Build real-time voice and multimodal applications with Pipecat’s RTVI protocol
- [RTVI Observer](https://docs.pipecat.ai/api-reference/server/rtvi/rtvi-observer.md): Converting pipeline frames to RTVI protocol messages
- [RTVIProcessor](https://docs.pipecat.ai/api-reference/server/rtvi/rtvi-processor.md): Core coordinator for RTVI protocol communication
- [Sentry Metrics](https://docs.pipecat.ai/api-reference/server/services/analytics/sentry.md): Performance monitoring integration with Sentry for Pipecat frame processors
- [Community Integrations](https://docs.pipecat.ai/api-reference/server/services/community-integrations.md): Community-maintained service integrations for Pipecat
- [Azure OpenAI Image Generation](https://docs.pipecat.ai/api-reference/server/services/image-generation/azure.md): Image generation service implementation using Azure OpenAI's REST API
- [fal](https://docs.pipecat.ai/api-reference/server/services/image-generation/fal.md): Image generation service implementation using fal's fast SDXL models
- [Google Imagen](https://docs.pipecat.ai/api-reference/server/services/image-generation/google.md): Image generation service implementation using Google's Imagen models
- [OpenAI Image Generation](https://docs.pipecat.ai/api-reference/server/services/image-generation/openai.md): Image generation service implementation using OpenAI's DALL-E models
- [Anthropic](https://docs.pipecat.ai/api-reference/server/services/llm/anthropic.md): Large Language Model service implementation using Anthropic's Claude API
- [AWS Bedrock](https://docs.pipecat.ai/api-reference/server/services/llm/aws.md): Large Language Model service implementation using Amazon Bedrock API
- [Azure](https://docs.pipecat.ai/api-reference/server/services/llm/azure.md): Large Language Model service implementation using Azure OpenAI API
- [Cerebras](https://docs.pipecat.ai/api-reference/server/services/llm/cerebras.md): LLM service implementation using Cerebras's API with OpenAI-compatible interface
- [DeepSeek](https://docs.pipecat.ai/api-reference/server/services/llm/deepseek.md): LLM service implementation using DeepSeek's API with OpenAI-compatible interface
- [Fireworks AI](https://docs.pipecat.ai/api-reference/server/services/llm/fireworks.md): LLM service implementation using Fireworks AI's API with OpenAI-compatible interface
- [Google Gemini](https://docs.pipecat.ai/api-reference/server/services/llm/google.md): Large Language Model service implementation using Google's Gemini API
- [Google Vertex AI](https://docs.pipecat.ai/api-reference/server/services/llm/google-vertex.md): LLM service implementation using Google's Vertex AI with OpenAI-compatible interface
- [Grok](https://docs.pipecat.ai/api-reference/server/services/llm/grok.md): LLM service implementation using Grok's API with OpenAI-compatible interface
- [Groq](https://docs.pipecat.ai/api-reference/server/services/llm/groq.md): LLM service implementation using Groq's API with OpenAI-compatible interface
- [Mistral](https://docs.pipecat.ai/api-reference/server/services/llm/mistral.md): LLM service implementation using Mistral's API with OpenAI-compatible interface
- [Novita AI](https://docs.pipecat.ai/api-reference/server/services/llm/novita.md): LLM service implementation using Novita AI's OpenAI-compatible API
- [NVIDIA NIM](https://docs.pipecat.ai/api-reference/server/services/llm/nvidia.md): LLM service implementation using NVIDIA's NIM (NVIDIA Inference Microservice) API with OpenAI-compatible interface
- [Ollama](https://docs.pipecat.ai/api-reference/server/services/llm/ollama.md): LLM service implementation using Ollama with OpenAI-compatible interface
- [OpenAI](https://docs.pipecat.ai/api-reference/server/services/llm/openai.md): Large Language Model services using OpenAI's chat completion API
- [OpenAI Responses](https://docs.pipecat.ai/api-reference/server/services/llm/openai-responses.md): Large Language Model services using OpenAI's Responses API
- [OpenPipe](https://docs.pipecat.ai/api-reference/server/services/llm/openpipe.md): LLM service implementation using OpenPipe for LLM request logging and fine-tuning
- [OpenRouter](https://docs.pipecat.ai/api-reference/server/services/llm/openrouter.md): LLM service implementation using OpenRouter's API with OpenAI-compatible interface
- [Perplexity](https://docs.pipecat.ai/api-reference/server/services/llm/perplexity.md): LLM service implementation using Perplexity's API with OpenAI-compatible interface
- [Qwen](https://docs.pipecat.ai/api-reference/server/services/llm/qwen.md): LLM service implementation using Alibaba Cloud's Qwen models through an OpenAI-compatible interface
- [SambaNova](https://docs.pipecat.ai/api-reference/server/services/llm/sambanova.md): LLM service implementation using SambaNova's API with OpenAI-compatible interface
- [Sarvam](https://docs.pipecat.ai/api-reference/server/services/llm/sarvam.md): Large Language Model services using Sarvam's OpenAI-compatible API
- [Together AI](https://docs.pipecat.ai/api-reference/server/services/llm/together.md): LLM service implementation using Together AI's API with OpenAI-compatible interface
- [Mem0](https://docs.pipecat.ai/api-reference/server/services/memory/mem0.md): Long-term conversation memory service powered by Mem0
- [AWS Nova Sonic](https://docs.pipecat.ai/api-reference/server/services/s2s/aws.md): Real-time speech-to-speech service implementation using AWS Nova Sonic
- [Gemini Live](https://docs.pipecat.ai/api-reference/server/services/s2s/gemini-live.md): A real-time, multimodal conversational AI service powered by Google's Gemini
- [Gemini Live Vertex AI](https://docs.pipecat.ai/api-reference/server/services/s2s/gemini-live-vertex.md): A real-time, multimodal conversational AI service powered by Google's Gemini via Vertex AI
- [Grok Realtime](https://docs.pipecat.ai/api-reference/server/services/s2s/grok.md): Real-time speech-to-speech service implementation using xAI's Grok Voice Agent API
- [OpenAI Realtime](https://docs.pipecat.ai/api-reference/server/services/s2s/openai.md): Real-time speech-to-speech service implementation using OpenAI's Realtime API
- [Ultravox Realtime](https://docs.pipecat.ai/api-reference/server/services/s2s/ultravox.md): Real-time speech-to-speech service implementation using Ultravox's Realtime API
- [ExotelFrameSerializer](https://docs.pipecat.ai/api-reference/server/services/serializers/exotel.md): Serializer for Exotel WebSocket media streaming protocol
- [GenesysAudioHookSerializer](https://docs.pipecat.ai/api-reference/server/services/serializers/genesys.md): Serializer for Genesys Cloud AudioHook WebSocket protocol
- [Frame Serializer Overview](https://docs.pipecat.ai/api-reference/server/services/serializers/introduction.md): Overview of frame serializers for converting between Pipecat frames and external protocols
- [PlivoFrameSerializer](https://docs.pipecat.ai/api-reference/server/services/serializers/plivo.md): Serializer for Plivo Audio Streaming WebSocket protocol
- [TelnyxFrameSerializer](https://docs.pipecat.ai/api-reference/server/services/serializers/telnyx.md): Serializer for Telnyx WebSocket media streaming protocol
- [TwilioFrameSerializer](https://docs.pipecat.ai/api-reference/server/services/serializers/twilio.md): Serializer for Twilio Media Streams WebSocket protocol
- [VonageFrameSerializer](https://docs.pipecat.ai/api-reference/server/services/serializers/vonage.md): Serializer for Vonage Video API Audio Connector WebSocket protocol
- [AssemblyAI](https://docs.pipecat.ai/api-reference/server/services/stt/assemblyai.md): Speech-to-text service implementation using AssemblyAI's real-time transcription API
- [AWS Transcribe](https://docs.pipecat.ai/api-reference/server/services/stt/aws.md): Speech-to-text service implementation using Amazon Transcribe's real-time transcription API
- [Azure](https://docs.pipecat.ai/api-reference/server/services/stt/azure.md): Speech-to-text service using Azure Cognitive Services Speech SDK
- [Cartesia](https://docs.pipecat.ai/api-reference/server/services/stt/cartesia.md): Speech-to-text service implementation using Cartesia's real-time transcription API
- [Deepgram](https://docs.pipecat.ai/api-reference/server/services/stt/deepgram.md): Speech-to-text service implementations using Deepgram's real-time transcription and Flux APIs
- [ElevenLabs](https://docs.pipecat.ai/api-reference/server/services/stt/elevenlabs.md): Speech-to-text service implementation using ElevenLabs' file-based transcription API
- [Fal (Wizper)](https://docs.pipecat.ai/api-reference/server/services/stt/fal.md): Speech-to-text service implementation using Fal's Wizper API
- [Gladia](https://docs.pipecat.ai/api-reference/server/services/stt/gladia.md): Speech-to-text service implementation using Gladia's API
- [Google](https://docs.pipecat.ai/api-reference/server/services/stt/google.md): Speech-to-text service implementation using Google Cloud's Speech-to-Text V2 API
- [Gradium](https://docs.pipecat.ai/api-reference/server/services/stt/gradium.md): Speech-to-text service using Gradium's real-time streaming API
- [Groq (Whisper)](https://docs.pipecat.ai/api-reference/server/services/stt/groq.md): Speech-to-text service implementation using Groq's Whisper API
- [NVIDIA Riva](https://docs.pipecat.ai/api-reference/server/services/stt/nvidia.md): Speech-to-text service implementation using NVIDIA Riva
- [OpenAI](https://docs.pipecat.ai/api-reference/server/services/stt/openai.md): Speech-to-text service implementations using OpenAI's Speech-to-Text APIs
- [Sarvam](https://docs.pipecat.ai/api-reference/server/services/stt/sarvam.md): Speech-to-text service implementation using Sarvam AI's WebSocket-based streaming API
- [Soniox](https://docs.pipecat.ai/api-reference/server/services/stt/soniox.md): Speech-to-text service implementation using Soniox's WebSocket API
- [Speechmatics](https://docs.pipecat.ai/api-reference/server/services/stt/speechmatics.md): Speech-to-text service implementation using Speechmatics' real-time transcription STT API
- [Whisper](https://docs.pipecat.ai/api-reference/server/services/stt/whisper.md): Speech-to-text service implementation using locally-downloaded Whisper models
- [Supported Services](https://docs.pipecat.ai/api-reference/server/services/supported-services.md): AI services integrated with Pipecat and their setup requirements
- [DailyTransport](https://docs.pipecat.ai/api-reference/server/services/transport/daily.md): WebRTC transport implementation using Daily for real-time audio/video communication
- [FastAPIWebsocketTransport](https://docs.pipecat.ai/api-reference/server/services/transport/fastapi-websocket.md): WebSocket transport implementation for FastAPI web applications with telephony integration
- [HeyGenTransport](https://docs.pipecat.ai/api-reference/server/services/transport/heygen.md): AI avatar video generation service for creating interactive conversational avatars
- [LemonSliceTransport](https://docs.pipecat.ai/api-reference/server/services/transport/lemonslice.md): AI avatar video service for adding LemonSlice avatars to Daily rooms
- [LiveKitTransport](https://docs.pipecat.ai/api-reference/server/services/transport/livekit.md): WebRTC transport implementation using LiveKit for real-time audio communication
- [SmallWebRTCTransport](https://docs.pipecat.ai/api-reference/server/services/transport/small-webrtc.md): A lightweight WebRTC transport for peer-to-peer audio and video communication in Pipecat
- [TavusTransport](https://docs.pipecat.ai/api-reference/server/services/transport/tavus.md): Conversational AI applications with Tavus avatars using real-time audio/video streaming
- [TransportParams](https://docs.pipecat.ai/api-reference/server/services/transport/transport-params.md): Base configuration parameters shared by all transport implementations
- [WebSocket Transports](https://docs.pipecat.ai/api-reference/server/services/transport/websocket-server.md): WebSocket transport implementations for real-time client-server communication
- [WhatsAppTransport](https://docs.pipecat.ai/api-reference/server/services/transport/whatsapp.md): Real-time voice communication through WhatsApp Business API using WebRTC
- [Async](https://docs.pipecat.ai/api-reference/server/services/tts/asyncai.md): Text-to-speech services using Async's WebSocket and HTTP APIs
- [AWS Polly](https://docs.pipecat.ai/api-reference/server/services/tts/aws.md): Text-to-speech service using Amazon Polly
- [Azure](https://docs.pipecat.ai/api-reference/server/services/tts/azure.md): Text-to-speech service using Azure Cognitive Services Speech SDK
- [Camb AI](https://docs.pipecat.ai/api-reference/server/services/tts/camb.md): Text-to-speech service using Camb AI's MARS models for high-quality speech synthesis
- [Cartesia](https://docs.pipecat.ai/api-reference/server/services/tts/cartesia.md): Text-to-speech services using Cartesia's WebSocket and HTTP APIs
- [Deepgram](https://docs.pipecat.ai/api-reference/server/services/tts/deepgram.md): Text-to-speech service implementations using Deepgram's Aura API
- [ElevenLabs](https://docs.pipecat.ai/api-reference/server/services/tts/elevenlabs.md): Text-to-speech service using ElevenLabs' streaming API with word-level timing
- [Fish Audio](https://docs.pipecat.ai/api-reference/server/services/tts/fish.md): Real-time text-to-speech service using Fish Audio's WebSocket API
- [Google](https://docs.pipecat.ai/api-reference/server/services/tts/google.md): Text-to-speech service using Google's Cloud Text-to-Speech API
- [Gradium](https://docs.pipecat.ai/api-reference/server/services/tts/gradium.md): Text-to-speech service using Gradium's low-latency streaming API
- [Groq](https://docs.pipecat.ai/api-reference/server/services/tts/groq.md): Text-to-speech service implementation using Groq's TTS API
- [Hume](https://docs.pipecat.ai/api-reference/server/services/tts/hume.md): Text-to-speech service using Hume AI's expressive Octave models with word timestamps
- [Inworld](https://docs.pipecat.ai/api-reference/server/services/tts/inworld.md): Text-to-speech service using Inworld AI's TTS APIs
- [Kokoro](https://docs.pipecat.ai/api-reference/server/services/tts/kokoro.md): Local text-to-speech synthesis using Kokoro ONNX
- [LMNT](https://docs.pipecat.ai/api-reference/server/services/tts/lmnt.md): Text-to-speech service implementation using LMNT's streaming API
- [MiniMax](https://docs.pipecat.ai/api-reference/server/services/tts/minimax.md): Text-to-speech service implementation using MiniMax T2A API
- [Neuphonic](https://docs.pipecat.ai/api-reference/server/services/tts/neuphonic.md): Text-to-speech service implementation using Neuphonic's API
- [NVIDIA Riva](https://docs.pipecat.ai/api-reference/server/services/tts/nvidia.md): Text-to-speech service implementation using NVIDIA Riva
- [OpenAI](https://docs.pipecat.ai/api-reference/server/services/tts/openai.md): Text-to-speech service using OpenAI's TTS API
- [Piper](https://docs.pipecat.ai/api-reference/server/services/tts/piper.md): Text-to-speech service implementation using the Piper TTS server
- [Resemble AI](https://docs.pipecat.ai/api-reference/server/services/tts/resembleai.md): Text-to-speech service using Resemble AI's WebSocket streaming API with word-level timing
- [Rime](https://docs.pipecat.ai/api-reference/server/services/tts/rime.md): Text-to-speech service implementations using Rime AI
- [Sarvam AI](https://docs.pipecat.ai/api-reference/server/services/tts/sarvam.md): Text-to-speech service implementation using Sarvam AI's TTS API
- [Smallest AI](https://docs.pipecat.ai/api-reference/server/services/tts/smallest.md): Text-to-speech service using Smallest AI's WebSocket streaming API
- [Speechmatics](https://docs.pipecat.ai/api-reference/server/services/tts/speechmatics.md): Text-to-speech service using Speechmatics TTS API
- [xAI](https://docs.pipecat.ai/api-reference/server/services/tts/xai.md): Text-to-speech service using xAI's HTTP API with support for 20 languages
- [XTTS](https://docs.pipecat.ai/api-reference/server/services/tts/xtts.md): Text-to-speech service implementation using Coqui's XTTS streaming server
- [HeyGen](https://docs.pipecat.ai/api-reference/server/services/video/heygen.md): AI avatar video generation service for creating interactive conversational avatars
- [Simli](https://docs.pipecat.ai/api-reference/server/services/video/simli.md): Real-time AI avatar video generation service using WebRTC streaming
- [Tavus](https://docs.pipecat.ai/api-reference/server/services/video/tavus.md): AI avatar video generation service for creating realistic talking avatars
- [Moondream](https://docs.pipecat.ai/api-reference/server/services/vision/moondream.md): Vision service implementation using Moondream for local image analysis and question answering
- [AICFilter](https://docs.pipecat.ai/api-reference/server/utilities/audio/aic-filter.md): Speech enhancement using ai-coustics' SDK
- [AudioBufferProcessor](https://docs.pipecat.ai/api-reference/server/utilities/audio/audio-buffer-processor.md): Process and buffer audio frames from conversations with flexible event handling
- [KoalaFilter](https://docs.pipecat.ai/api-reference/server/utilities/audio/koala-filter.md): Audio noise reduction filter using Koala AI technology from Picovoice
- [KrispVivaFilter](https://docs.pipecat.ai/api-reference/server/utilities/audio/krisp-viva-filter.md): Audio voice isolation filter using Krisp VIVA model
- [KrispVivaVadAnalyzer](https://docs.pipecat.ai/api-reference/server/utilities/audio/krisp-viva-vad-analyzer.md): Voice Activity Detection analyzer using the Krisp VIVA SDK
- [RNNoiseFilter](https://docs.pipecat.ai/api-reference/server/utilities/audio/rnnoise-filter.md): Audio noise suppression filter using RNNoise recurrent neural network
- [SileroVADAnalyzer](https://docs.pipecat.ai/api-reference/server/utilities/audio/silero-vad-analyzer.md): Voice Activity Detection analyzer using the Silero VAD ONNX model
- [SoundfileMixer](https://docs.pipecat.ai/api-reference/server/utilities/audio/soundfile-mixer.md): Audio mixer for combining real-time audio with sound files
- [Context Summarization](https://docs.pipecat.ai/api-reference/server/utilities/context-summarization.md): Reference for LLMAutoContextSummarizationConfig, LLMContextSummaryConfig, LLMContextSummarizer, and SummaryAppliedEvent
- [DailyRESTHelper](https://docs.pipecat.ai/api-reference/server/utilities/daily/rest-helper.md): Classes and methods for interacting with the Daily API to manage rooms and tokens
- [DTMFAggregator](https://docs.pipecat.ai/api-reference/server/utilities/dtmf-aggregator.md): Aggregates DTMF (phone keypad) input into meaningful sequences for LLM processing
- [IVRNavigator](https://docs.pipecat.ai/api-reference/server/utilities/extensions/ivr.md): AI-powered Interactive Voice Response system navigation with automatic classification and goal-oriented decision making
- [VoicemailDetector](https://docs.pipecat.ai/api-reference/server/utilities/extensions/voicemail.md): Technical implementation details and architecture for voicemail detection
- [FrameFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/frame-filter.md): Processor that selectively passes through only specified frame types
- [FunctionFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/function-filter.md): Processor that filters frames using a custom filter function
- [IdentityFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/identify-filter.md): Processor that passes all frames through without modification
- [NullFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/null-filter.md): Processor that blocks all frames except system frames
- [STTMuteFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/stt-mute.md): Processor for controlling STT muting and interruption handling during bot speech and function calls
- [WakeCheckFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/wake-check-filter.md): Processor that passes frames only after detecting wake phrases in transcriptions
- [WakeNotifierFilter](https://docs.pipecat.ai/api-reference/server/utilities/filters/wake-notifier-filter.md): Processor that triggers a notifier when specified frame types pass a custom filter
- [LLMTextProcessor](https://docs.pipecat.ai/api-reference/server/utilities/frame/llm-text-processor.md): A processor for aggregating LLMTextFrames into logical units before passing them to downstream services
- [Producer & Consumer Processors](https://docs.pipecat.ai/api-reference/server/utilities/frame/producer-consumer.md): Route frames between different parts of a pipeline, allowing selective frame sharing across parallel branches or within complex pipelines
- [MCPClient](https://docs.pipecat.ai/api-reference/server/utilities/mcp/mcp.md): Service to connect to MCP (Model Context Protocol) servers
- [Debug Log Observer](https://docs.pipecat.ai/api-reference/server/utilities/observers/debug-observer.md): Comprehensive frame logging with configurable filtering in Pipecat
- [LLM Log Observer](https://docs.pipecat.ai/api-reference/server/utilities/observers/llm-observer.md): Logging LLM activity in Pipecat
- [Observer Pattern](https://docs.pipecat.ai/api-reference/server/utilities/observers/observer-pattern.md): Understanding and implementing observers in Pipecat
- [Startup Timing Observer](https://docs.pipecat.ai/api-reference/server/utilities/observers/startup-timing-observer.md): Measure processor startup times and transport readiness during pipeline initialization
- [Transcription Log Observer](https://docs.pipecat.ai/api-reference/server/utilities/observers/transcription-observer.md): Logging speech-to-text transcription activity in Pipecat
- [Turn Tracking Observer](https://docs.pipecat.ai/api-reference/server/utilities/observers/turn-tracking-observer.md): Track conversation turns and events in your Pipecat pipeline
- [User-Bot Latency Observer](https://docs.pipecat.ai/api-reference/server/utilities/observers/user-bot-latency-observer.md): Measure response time between user speech and bot responses in Pipecat
- [OpenTelemetry Tracing](https://docs.pipecat.ai/api-reference/server/utilities/opentelemetry.md): Monitor and analyze your Pipecat conversational pipelines using OpenTelemetry
- [Development Runner](https://docs.pipecat.ai/api-reference/server/utilities/runner/guide.md): Unified runner for building voice AI bots with Daily, WebRTC, and telephony transports
- [Transport Utilities](https://docs.pipecat.ai/api-reference/server/utilities/runner/transport-utils.md): Configuration and helper utilities for Daily, LiveKit, telephony, and WebRTC transports
- [LLMSwitcher](https://docs.pipecat.ai/api-reference/server/utilities/service-switchers/llm-switcher.md): Dynamically switch between different LLM services with support for ad-hoc inference and unified function registration
- [ServiceSwitcher](https://docs.pipecat.ai/api-reference/server/utilities/service-switchers/service-switcher.md): Dynamically switch between different service instances at runtime using configurable strategies
- [MarkdownTextFilter](https://docs.pipecat.ai/api-reference/server/utilities/text/markdown-text-filter.md): Converts Markdown-formatted text to TTS-friendly plain text while preserving structure
- [Text Aggregators and Filters](https://docs.pipecat.ai/api-reference/server/utilities/text/overview.md): An overview of text aggregators and filters available in the server utilities
- [PatternPairAggregator](https://docs.pipecat.ai/api-reference/server/utilities/text/pattern-pair-aggregator.md): Text aggregator that identifies and processes content between pattern pairs in streaming text
- [TranscriptProcessor](https://docs.pipecat.ai/api-reference/server/utilities/transcript-processor.md): Factory for creating and managing conversation transcript processors with shared event handling
- [Fal Smart Turn](https://docs.pipecat.ai/api-reference/server/utilities/turn-detection/fal-smart-turn.md): Cloud-hosted Smart Turn detection using Fal.ai
- [Krisp VIVA Turn](https://docs.pipecat.ai/api-reference/server/utilities/turn-detection/krisp-viva-turn.md): Turn detection using Krisp VIVA SDK
- [Smart Turn Overview](https://docs.pipecat.ai/api-reference/server/utilities/turn-detection/smart-turn-overview.md): Advanced conversational turn detection powered by the smart-turn model
- [External Turn Management](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/external-turn-management.md): Handle turn detection externally using UserTurnProcessor or external services
- [Filter Incomplete User Turns](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/filter-incomplete-turns.md): Use LLM-based detection to suppress responses when users are cut off mid-thought
- [Interruption Strategies](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/interruption-strategies.md): Configure when users can interrupt the bot to prevent unwanted interruptions from brief affirmations
- [Transcriptions](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/transcriptions.md): Collect user and assistant conversation transcripts using turn events
- [Turn Events](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/turn-events.md): Handle user and assistant turn lifecycle events for transcriptions and turn tracking
- [User Mute Strategies](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/user-mute-strategies.md): Control when user input is suppressed during bot operations
- [User Turn Strategies](https://docs.pipecat.ai/api-reference/server/utilities/turn-management/user-turn-strategies.md): Configure how user turns are detected and managed in conversations
- [UserIdleProcessor](https://docs.pipecat.ai/api-reference/server/utilities/user-idle-processor.md): A processor that monitors user inactivity and triggers callbacks after specified timeout periods
- [API Reference](https://docs.pipecat.ai/client/android/api-reference.md)
- [SDK Introduction](https://docs.pipecat.ai/client/android/introduction.md): Build Android applications with Pipecat's Kotlin client library
- [Daily WebRTC Transport](https://docs.pipecat.ai/client/android/transports/daily.md): WebRTC implementation for Android using Daily
- [Gemini Live Websocket Transport](https://docs.pipecat.ai/client/android/transports/gemini-websocket.md): Websocket implementation for Android using Gemini
- [OpenAI Realtime WebRTC Transport](https://docs.pipecat.ai/client/android/transports/openai-webrtc.md): WebRTC implementation for Android using OpenAI
- [Small WebRTC Transport](https://docs.pipecat.ai/client/android/transports/small-webrtc.md): WebRTC implementation for Android
- [SDK Introduction](https://docs.pipecat.ai/client/c++/introduction.md): Build native applications with Pipecat’s C++ client library
- [Daily WebRTC Transport](https://docs.pipecat.ai/client/c++/transport.md): WebRTC implementation for C++ using Daily
- [Client SDKs](https://docs.pipecat.ai/client/introduction.md): Client libraries for building real-time AI applications with Pipecat
- [API Reference](https://docs.pipecat.ai/client/ios/api-reference.md)
- [SDK Introduction](https://docs.pipecat.ai/client/ios/introduction.md): Build iOS applications with Pipecat’s Swift client library
- [Daily WebRTC Transport](https://docs.pipecat.ai/client/ios/transports/daily.md): WebRTC implementation for iOS using Daily
- [Gemini Live Websocket Transport](https://docs.pipecat.ai/client/ios/transports/gemini-websocket.md): Websocket implementation for iOS using Gemini
- [OpenAIRealTimeWebRTCTransport](https://docs.pipecat.ai/client/ios/transports/openai-webrtc.md)
- [SmallWebRTCTransport](https://docs.pipecat.ai/client/ios/transports/small-webrtc.md): A lightweight WebRTC transport for peer-to-peer connections with Pipecat for iOS
- [Callbacks and events](https://docs.pipecat.ai/client/js/api-reference/callbacks.md)
- [PipecatClient Constructor](https://docs.pipecat.ai/client/js/api-reference/client-constructor.md): Setting up the PipecatClient
- [Client Methods](https://docs.pipecat.ai/client/js/api-reference/client-methods.md)
- [Errors](https://docs.pipecat.ai/client/js/api-reference/errors.md)
- [Custom Messaging](https://docs.pipecat.ai/client/js/api-reference/messages.md)
- [SDK Introduction](https://docs.pipecat.ai/client/js/introduction.md): Build web applications with Pipecat’s JavaScript client library
- [Daily WebRTC Transport](https://docs.pipecat.ai/client/js/transports/daily.md)
- [GeminiLiveWebSocketTransport](https://docs.pipecat.ai/client/js/transports/gemini.md)
- [OpenAIRealTimeWebRTCTransport](https://docs.pipecat.ai/client/js/transports/openai-webrtc.md)
- [SmallWebRTCTransport](https://docs.pipecat.ai/client/js/transports/small-webrtc.md): A lightweight WebRTC transport for peer-to-peer connections with Pipecat
- [Transport Overview](https://docs.pipecat.ai/client/js/transports/transport.md)
- [WebSocketTransport](https://docs.pipecat.ai/client/js/transports/websocket.md): A lightweight transport for WebSocket based connections with Pipecat
- [API Reference](https://docs.pipecat.ai/client/react-native/api-reference.md): API reference for the Pipecat React Native SDK
- [SDK Introduction](https://docs.pipecat.ai/client/react-native/introduction.md): Build React Native applications with Pipecat's React Native client library
- [Daily WebRTC Transport](https://docs.pipecat.ai/client/react-native/transports/daily.md)
- [SmallWebRTCTransport](https://docs.pipecat.ai/client/react-native/transports/small-webrtc.md): A lightweight WebRTC transport for peer-to-peer connections with Pipecat
- [Components](https://docs.pipecat.ai/client/react/components.md): Ready-to-use React components for Pipecat applications
- [Hooks](https://docs.pipecat.ai/client/react/hooks.md): React hooks for accessing Pipecat client functionality
- [SDK Introduction](https://docs.pipecat.ai/client/react/introduction.md): Build React applications with Pipecat's React client library
- [The RTVI Standard](https://docs.pipecat.ai/client/rtvi-standard.md): An overview of the RTVI standard and its key features
- [Voice UI Kit](https://docs.pipecat.ai/client/voice-ui-kit.md): Pre-built React components for building voice AI interfaces with Pipecat.
- [Pipecat Clients](https://docs.pipecat.ai/overview/clients.md): Client SDKs for connecting users to Pipecat agents via web and mobile.
- [Pipecat Cloud](https://docs.pipecat.ai/overview/cloud.md): Managed hosting platform for deploying and scaling Pipecat agents.
- [Pipecat Flows](https://docs.pipecat.ai/overview/flows.md): Build structured conversations for your voice AI agents.
- [Introduction](https://docs.pipecat.ai/overview/introduction.md): Build voice and multimodal AI agents with the Pipecat ecosystem.
- [Pipecat](https://docs.pipecat.ai/overview/pipecat.md): Open source Python framework for building voice and multimodal AI agents.
- [Accounts and Organizations](https://docs.pipecat.ai/pipecat-cloud/fundamentals/accounts-and-organizations.md): Managing your account and collaborating on agents as part of a team
- [Starting Sessions](https://docs.pipecat.ai/pipecat-cloud/fundamentals/active-sessions.md): Serving user requests with active sessions.
- [Agent Images](https://docs.pipecat.ai/pipecat-cloud/fundamentals/agent-images.md): How to containerize your agent project
- [Deployments](https://docs.pipecat.ai/pipecat-cloud/fundamentals/deploy.md): Serving your agent via Pipecat Cloud
- [Troubleshooting](https://docs.pipecat.ai/pipecat-cloud/fundamentals/error-codes.md): Common issues and solutions when deploying agents to Pipecat Cloud
- [Logging and Observability](https://docs.pipecat.ai/pipecat-cloud/fundamentals/logging.md): Obtaining logs and metrics from your agents and sessions
- [Scaling](https://docs.pipecat.ai/pipecat-cloud/fundamentals/scaling.md): Production-ready agent deployment and scaling strategies
- [Secrets](https://docs.pipecat.ai/pipecat-cloud/fundamentals/secrets.md): Providing your agent with sensitive information
- [Capacity Planning](https://docs.pipecat.ai/pipecat-cloud/guides/capacity-planning.md): Optimize your agent deployments to minimize cold starts
- [CI with GitHub Actions](https://docs.pipecat.ai/pipecat-cloud/guides/ci-with-github-actions.md): Automate builds and deploys with the official GitHub Action
- [Cloud Builds](https://docs.pipecat.ai/pipecat-cloud/guides/cloud-builds.md): Build and deploy agents without managing a container registry
- [AWS ECR](https://docs.pipecat.ai/pipecat-cloud/guides/container-registries/aws-ecr.md): Deploy Pipecat Cloud agents using Amazon Elastic Container Registry
- [Docker Hub](https://docs.pipecat.ai/pipecat-cloud/guides/container-registries/docker-hub.md): Deploy Pipecat Cloud agents using Docker Hub
- [GCP Artifact Registry](https://docs.pipecat.ai/pipecat-cloud/guides/container-registries/gcp-artifact-registry.md): Deploy Pipecat Cloud agents using Google Cloud Artifact Registry
- [Container Registry Overview](https://docs.pipecat.ai/pipecat-cloud/guides/container-registries/overview.md): Deploy Pipecat Cloud agents from private container registries
- [Daily WebRTC](https://docs.pipecat.ai/pipecat-cloud/guides/daily-webrtc.md): Using Daily as a WebRTC transport for your Pipecat Cloud agents
- [Krisp VIVA Voice Isolation](https://docs.pipecat.ai/pipecat-cloud/guides/krisp-viva.md): Eliminate background noise and voices for more reliable agent interactions using Krisp's VIVA voice isolation model
- [Personal Access Tokens](https://docs.pipecat.ai/pipecat-cloud/guides/personal-access-tokens.md): Non-interactive authentication for CI/CD pipelines and automation
- [Regions](https://docs.pipecat.ai/pipecat-cloud/guides/regions.md): Deploy agents to geographic regions for optimal performance and compliance
- [Session API](https://docs.pipecat.ai/pipecat-cloud/guides/session-api.md): Send HTTP requests to your running Pipecat Cloud sessions
- [Smart Turn Detection](https://docs.pipecat.ai/pipecat-cloud/guides/smart-turn.md): Advanced conversational turn detection
- [Daily PSTN Dial-in](https://docs.pipecat.ai/pipecat-cloud/guides/telephony/daily-dial-in.md): Using Daily's Transport to receive calls from external SIP Addresses and PSTN numbers
- [Daily PSTN Dial-out](https://docs.pipecat.ai/pipecat-cloud/guides/telephony/daily-dial-out.md): Using Daily’s Transport to make calls to external SIP Addresses and PSTN numbers
- [Exotel Websocket Transport](https://docs.pipecat.ai/pipecat-cloud/guides/telephony/exotel-websocket.md): Using Exotel's WebSocket Transport for your Pipecat Cloud agents
- [Plivo Websocket Transport](https://docs.pipecat.ai/pipecat-cloud/guides/telephony/plivo-websocket.md): Using Plivo's WebSocket Transport for your Pipecat Cloud agents
- [Telnyx Websocket Transport](https://docs.pipecat.ai/pipecat-cloud/guides/telephony/telnyx-websocket.md): Using Telnyx's WebSocket Transport for your Pipecat Cloud agents
- [Twilio Websocket Transport](https://docs.pipecat.ai/pipecat-cloud/guides/telephony/twilio-websocket.md): Using Twilio's WebSocket Transport for your Pipecat Cloud agents
- [Using Datadog](https://docs.pipecat.ai/pipecat-cloud/guides/using-datadog.md): How to add Datadog logging, traces, and custom metrics to your Pipecat Cloud agents
- [WhatsApp Business Calling API](https://docs.pipecat.ai/pipecat-cloud/guides/whatsapp.md): Learn how to receive WhatsApp voice calls in your Pipecat Cloud application
- [Introduction](https://docs.pipecat.ai/pipecat-cloud/introduction.md): Deploy your AI agents to production at scale
- [HIPAA](https://docs.pipecat.ai/pipecat-cloud/security/hipaa.md): HIPAA compliance for Pipecat Cloud
- [Security Guide](https://docs.pipecat.ai/pipecat-cloud/security/security-and-compliance.md): Securing your agents on Pipecat Cloud
- [Examples](https://docs.pipecat.ai/pipecat-flows/examples.md): Explore Pipecat Flows examples for common conversation patterns.
- [Actions](https://docs.pipecat.ai/pipecat-flows/guides/actions.md): Execute custom functionality at specific points in your conversation flow.
- [Context Strategies](https://docs.pipecat.ai/pipecat-flows/guides/context-strategies.md): Manage conversation context across node transitions.
- [Functions](https://docs.pipecat.ai/pipecat-flows/guides/functions.md): Define function calls and handlers in Pipecat Flows.
- [Nodes & Messages](https://docs.pipecat.ai/pipecat-flows/guides/nodes-and-messages.md): Configure conversation nodes and messages in Pipecat Flows.
- [Quickstart](https://docs.pipecat.ai/pipecat-flows/guides/quickstart.md): Build your first conversation flow with Pipecat Flows.
- [State Management](https://docs.pipecat.ai/pipecat-flows/guides/state-management.md): Share data across nodes with FlowManager state and global functions.
- [Pipecat Flows](https://docs.pipecat.ai/pipecat-flows/introduction.md): Build structured conversations for your voice AI agents.
- [Overview](https://docs.pipecat.ai/pipecat/deployment/overview.md): How to deploy your Pipecat bot online
- [Deployment pattern](https://docs.pipecat.ai/pipecat/deployment/pattern.md): Basic deployment pattern for Pipecat bots
- [Cerebrium](https://docs.pipecat.ai/pipecat/deployment/platforms/cerebrium.md): Deploy Pipecat applications to Cerebrium
- [Fly.io](https://docs.pipecat.ai/pipecat/deployment/platforms/fly.md): Deploy Pipecat bots to Fly.io machines
- [Modal](https://docs.pipecat.ai/pipecat/deployment/platforms/modal.md): Deploy Pipecat applications to Modal
- [Examples](https://docs.pipecat.ai/pipecat/examples/overview.md): Complete applications and quickstart demos to accelerate your Pipecat development
- [Recipes](https://docs.pipecat.ai/pipecat/examples/recipes.md): Code snippets and techniques to enhance your Pipecat applications
- [Building with Gemini Live](https://docs.pipecat.ai/pipecat/features/gemini-live.md): Create real-time voice AI agents using Google's Gemini Live API and Pipecat
- [Krisp VIVA](https://docs.pipecat.ai/pipecat/features/krisp-viva.md): Learn how to integrate Krisp's VIVA voice isolation and turn detection into your Pipecat application
- [Building With OpenAI Audio Models and APIs](https://docs.pipecat.ai/pipecat/features/openai-audio-models-and-apis.md): Create voice agents with OpenAI audio models and Pipecat
- [WhatsApp Business Calling API](https://docs.pipecat.ai/pipecat/features/whatsapp.md): Learn how to receive WhatsApp voice calls in your Pipecat application
- [Context Summarization](https://docs.pipecat.ai/pipecat/fundamentals/context-summarization.md): Automatically compress conversation history to manage token usage in long-running conversations
- [Custom FrameProcessor](https://docs.pipecat.ai/pipecat/fundamentals/custom-frame-processor.md): Learn how to write your own custom FrameProcessor
- [Detecting Idle Users](https://docs.pipecat.ai/pipecat/fundamentals/detecting-user-idle.md): Learn how to detect and respond when users are inactive in conversations
- [Bluejay](https://docs.pipecat.ai/pipecat/fundamentals/evaluations/bluejay.md): Simulation, observability, and evaluation platform for voice AI agents with native Pipecat integration.
- [Cekura](https://docs.pipecat.ai/pipecat/fundamentals/evaluations/cekura.md): Simulation and production monitoring platform for Pipecat agents with flexible connection methods and metric-driven QA.
- [Coval](https://docs.pipecat.ai/pipecat/fundamentals/evaluations/coval.md): AI-native simulation and evaluation platform for voice agents, trusted by QA, Engineering, Operations, AI, and Executive teams.
- [Evaluations](https://docs.pipecat.ai/pipecat/fundamentals/evaluations/overview.md): Test and improve your voice AI agents from local prompt iteration to production monitoring.
- [IVR Navigation](https://docs.pipecat.ai/pipecat/fundamentals/ivr.md): Automatically navigate phone system menus using AI-powered decision making
- [Metrics](https://docs.pipecat.ai/pipecat/fundamentals/metrics.md): Learn how to monitor performance and LLM/TTS usage with Pipecat.
- [Recording Conversation Audio](https://docs.pipecat.ai/pipecat/fundamentals/recording-audio.md): Learn how to record and save audio from conversations between users and your bot
- [Saving Conversation Transcripts](https://docs.pipecat.ai/pipecat/fundamentals/saving-transcripts.md): Learn how to collect and save conversation transcripts between users and your bot
- [Service Settings](https://docs.pipecat.ai/pipecat/fundamentals/service-settings.md): Learn how to configure and update AI service settings at initialization and runtime.
- [STT Latency Tuning](https://docs.pipecat.ai/pipecat/fundamentals/stt-latency-tuning.md): Measure and tune STT latency for better turn detection timing
- [User Input Muting](https://docs.pipecat.ai/pipecat/fundamentals/user-input-muting.md): Learn how to control when user speech is processed in your conversational bot
- [Voicemail Detection](https://docs.pipecat.ai/pipecat/fundamentals/voicemail.md): Automatically classify outbound calls as conversation or voicemail and respond appropriately
- [AI-Assisted Development](https://docs.pipecat.ai/pipecat/get-started/ai-tools.md): Use AI coding tools with Pipecat documentation and source code.
- [Build Your Next Bot](https://docs.pipecat.ai/pipecat/get-started/build-your-next-bot.md): Scaffold a new Pipecat project with the CLI
- [Pipecat](https://docs.pipecat.ai/pipecat/get-started/introduction.md): Open source Python framework for building voice and multimodal AI agents.
- [Continue Learning](https://docs.pipecat.ai/pipecat/get-started/next-steps.md): Continue your Pipecat journey
- [Quickstart](https://docs.pipecat.ai/pipecat/get-started/quickstart.md): Run your first Pipecat bot in under 5 minutes
- [Context Management](https://docs.pipecat.ai/pipecat/learn/context-management.md): A guide to working with Pipecat's Context and Context Aggregators
- [Function Calling](https://docs.pipecat.ai/pipecat/learn/function-calling.md): Enable LLMs to interact with external services and APIs in your voice AI pipeline
- [LLM Inference](https://docs.pipecat.ai/pipecat/learn/llm.md): Learn how to configure language models to generate intelligent responses in your voice AI pipeline
- [Overview of Pipecat](https://docs.pipecat.ai/pipecat/learn/overview.md): Learn the foundational concepts of Pipecat's architecture for building voice AI agents
- [Pipeline & Frame Processing](https://docs.pipecat.ai/pipecat/learn/pipeline.md): Learn how Pipecat's pipeline architecture orchestrates frame processing for voice AI applications
- [Pipeline Termination](https://docs.pipecat.ai/pipecat/learn/pipeline-termination.md): Learn how to properly terminate Pipecat pipelines for clean shutdown and resource management
- [Session Initialization](https://docs.pipecat.ai/pipecat/learn/session-initialization.md): Learn how to set up connections between users and your Pipecat voice AI bot
- [Speech Input & Turn Detection](https://docs.pipecat.ai/pipecat/learn/speech-input.md): Learn how Pipecat detects user turns using VAD, transcriptions, and turn detection models
- [Speech to Text](https://docs.pipecat.ai/pipecat/learn/speech-to-text.md): Learn how to configure speech recognition to convert user audio into text in your Pipecat pipeline
- [Text to Speech](https://docs.pipecat.ai/pipecat/learn/text-to-speech.md): Learn how to configure speech synthesis to convert text into natural-sounding audio in your voice AI pipeline
- [Transports](https://docs.pipecat.ai/pipecat/learn/transports.md): Learn about the different ways users can connect to your Pipecat voice AI bot
- [What's Next](https://docs.pipecat.ai/pipecat/learn/whats-next.md): Continue your Pipecat journey with advanced features, examples, and production deployment
- [Daily Phone Numbers](https://docs.pipecat.ai/pipecat/telephony/daily-phone-numbers.md): Purchase and manage phone numbers for Daily's PSTN services
- [Daily PSTN](https://docs.pipecat.ai/pipecat/telephony/daily-pstn.md): Complete guide to Daily's PSTN capabilities including dial-in, dial-out, and call transfers
- [Exotel WebSocket Integration](https://docs.pipecat.ai/pipecat/telephony/exotel-websockets.md): Complete guide to using Exotel Voice Streaming with Pipecat for dial-in and dial-out functionality
- [Overview](https://docs.pipecat.ai/pipecat/telephony/overview.md): How to call your bots (or have them call you)
- [Plivo WebSocket Integration](https://docs.pipecat.ai/pipecat/telephony/plivo-websockets.md): Complete guide to using Plivo Media Streaming with Pipecat for dial-in and dial-out functionality
- [Telnyx WebSocket Integration](https://docs.pipecat.ai/pipecat/telephony/telnyx-websockets.md): Complete guide to using Telnyx Media Streaming with Pipecat for dial-in and dial-out functionality
- [Daily + Twilio SIP](https://docs.pipecat.ai/pipecat/telephony/twilio-daily-sip.md): Complete guide to using Daily's WebRTC transport with Twilio's SIP services for dial-in and dial-out
- [Twilio WebSocket Integration](https://docs.pipecat.ai/pipecat/telephony/twilio-websockets.md): Complete guide to using Twilio Media Streams with Pipecat for dial-in and dial-out functionality

## OpenAPI Specs

- [openapi-stop](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-stop.json)
- [openapi-start](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-start.json)
- [openapi-session-proxy](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-session-proxy.json)
- [openapi-secret-list-one](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-secret-list-one.json)
- [openapi-secret-list-all](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-secret-list-all.json)
- [openapi-secret-delete-specific-secret](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-secret-delete-specific-secret.json)
- [openapi-secret-delete-secret-set](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-secret-delete-secret-set.json)
- [openapi-secret-create-update](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-secret-create-update.json)
- [openapi-regions-list](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-regions-list.json)
- [openapi-properties-update](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-properties-update.json)
- [openapi-properties-get](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-properties-get.json)
- [openapi-build-upload-url](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-build-upload-url.json)
- [openapi-build-list](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-build-list.json)
- [openapi-build-get](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-build-get.json)
- [openapi-build-get-logs](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-build-get-logs.json)
- [openapi-build-create](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-build-create.json)
- [openapi-agent-update](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-update.json)
- [openapi-agent-list-one](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-list-one.json)
- [openapi-agent-list-all](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-list-all.json)
- [openapi-agent-get-sessions](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-get-sessions.json)
- [openapi-agent-get-session](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-get-session.json)
- [openapi-agent-get-logs](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-get-logs.json)
- [openapi-agent-delete](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-delete.json)
- [openapi-agent-create](https://docs.pipecat.ai/api-reference/pipecat-cloud/rest-reference/openapi-agent-create.json)

## Optional

- [Pipecat Events](https://pipecat.ai/events)
- [Community](https://discord.gg/pipecat)
- [GitHub](https://github.com/pipecat-ai/pipecat)
- [Changelog](https://github.com/pipecat-ai/pipecat/blob/main/CHANGELOG.md)


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