# Ambivert AI AI

## Docs

- [Agent UUID](https://docs.ambivertai.tech/configurations/agent-uuid.md): Find and use your workflow's stable Agent UUID
- [API Keys and Service Keys](https://docs.ambivertai.tech/configurations/api-keys.md): You can create API Keys to trigger Ambivert AI Voice Agents and Service Keys to use with Inference Providers
- [Model Configurations](https://docs.ambivertai.tech/configurations/inference-providers.md): Configure the speech-to-speech, Ambivert AI-managed, or bring-your-own-key models your Ambivert AI agents use.
- [Interruption Handling](https://docs.ambivertai.tech/configurations/interruption.md): Control whether users can interrupt the bot while it is speaking by configuring the Allow Interruption toggle on each node.
- [LLM](https://docs.ambivertai.tech/configurations/llm.md): Voice Agents use LLM (Large Language Models), which are trained to understand the conversational context, and respond to users.
- [Tracing](https://docs.ambivertai.tech/configurations/tracing.md): Trace your agent runs to debug issues, understand LLM behavior, and refine your prompts.
- [Transcriber](https://docs.ambivertai.tech/configurations/transcriber.md): Voice Agents use STT (Speech to Text), to transcribe what the user speaks. This transcribed speech as text goes into an LLM to generate the response that gets played out to the user.
- [Voice](https://docs.ambivertai.tech/configurations/voice.md): Voice Agents use TTS (Text to Speech), which generates audio that LLMs generate during the course of a conversation. This is the audio that the end user having the conversation listens to.
- [Calls & Runs](https://docs.ambivertai.tech/core-concepts/calls-and-runs.md): The lifecycle of a call and how runs capture its results
- [Campaigns](https://docs.ambivertai.tech/core-concepts/campaigns.md): Running a voice agent against a list of contacts at scale
- [Context & Variables](https://docs.ambivertai.tech/core-concepts/context-and-variables.md): How data flows into, through, and out of a conversation
- [Workflows & Agents](https://docs.ambivertai.tech/core-concepts/workflows-and-agents.md): How conversation flows are defined in Ambivert AI
- [Introduction](https://docs.ambivertai.tech/getting-started/index.md): Learn how to use Ambivert Voice AI to easily build, manage, and deploy AI voice agents for your business without writing code.
- [MCP Server](https://docs.ambivertai.tech/integrations/mcp.md): Connect Codex, Claude, and other AI assistants to your Ambivert AI workspace via the Model Context Protocol
- [Agent Stream](https://docs.ambivertai.tech/integrations/telephony/agent-stream.md): Stream audio to a Ambivert AI agent over a WebSocket
- [Asterisk ARI Integration](https://docs.ambivertai.tech/integrations/telephony/asterisk-ari.md): Connect Ambivert AI AI to your Asterisk PBX using the Asterisk REST Interface (ARI)
- [Cloudonix Integration](https://docs.ambivertai.tech/integrations/telephony/cloudonix.md): Configure Cloudonix for voice communication in Ambivert AI AI
- [Custom Telephony Provider](https://docs.ambivertai.tech/integrations/telephony/custom.md): Build your own telephony provider integration for Ambivert AI AI
- [Inbound Calling](https://docs.ambivertai.tech/integrations/telephony/inbound.md): Configure inbound calling for Twilio, Vonage, Plivo, Telnyx, Cloudonix, Vobiz, and Asterisk ARI providers in Ambivert AI AI
- [Telephony Integration](https://docs.ambivertai.tech/integrations/telephony/overview.md): Connect voice agents with telephony providers for inbound and outbound calls
- [Plivo Integration](https://docs.ambivertai.tech/integrations/telephony/plivo.md): Configure Plivo for voice communication in Ambivert AI AI
- [Telnyx Integration](https://docs.ambivertai.tech/integrations/telephony/telnyx.md): Configure Telnyx for voice communication in Ambivert AI AI
- [Twilio Integration](https://docs.ambivertai.tech/integrations/telephony/twilio.md): Configure Twilio for voice communication in Ambivert AI AI
- [Vobiz Integration](https://docs.ambivertai.tech/integrations/telephony/vobiz.md): Configure Vobiz for voice communication in Ambivert AI AI
- [Vonage Integration](https://docs.ambivertai.tech/integrations/telephony/vonage.md): Configure Vonage (Nexmo) for voice communication in Ambivert AI AI
- [Webhooks and Callbacks](https://docs.ambivertai.tech/integrations/telephony/webhooks.md): How Ambivert AI AI handles telephony webhooks and audio streaming
- [Tuner Integration](https://docs.ambivertai.tech/integrations/tuner.md): Connect Ambivert AI to Tuner — the observability, simulation, and testing layer for voice
- [Add to Website](https://docs.ambivertai.tech/voice-agent/add-to-website.md): Add your Ambivert AI voice agent to any website so visitors can talk to it.
- [Agent Node](https://docs.ambivertai.tech/voice-agent/agent.md): Agent node contains the prompts that drives the conversation with the Voice Agent
- [API Trigger](https://docs.ambivertai.tech/voice-agent/api-trigger.md): Trigger outbound calls from external systems like n8n, Zapier, or your own backend
- [Editing a Workflow](https://docs.ambivertai.tech/voice-agent/editing-a-workflow.md): Learn the fundamentals of building workflows with nodes, pathways, and conversation flow in the voice agent builder.
- [End Call](https://docs.ambivertai.tech/voice-agent/end-call.md): You can use End Call node to configure how the Agent says its final message right before the call is terminated
- [Global Node](https://docs.ambivertai.tech/voice-agent/global.md): Global Node contain the common prompt that is appended to the prompt of every node, in which `Add Global Prompt` is turned on.
- [Voice Agent Builder](https://docs.ambivertai.tech/voice-agent/introduction.md): Ambivert AI provides UI components to build a voice Agent. The voice agent can be created by going to https://app.ambivertai.tech/workflow and then Creating a new Agent.
- [Knowledge Base](https://docs.ambivertai.tech/voice-agent/knowledge-base.md): Upload documents that your voice agent can reference during live conversations to provide accurate, context-aware responses.
- [Pre-Call Data Fetch](https://docs.ambivertai.tech/voice-agent/pre-call-data-fetch.md): Fetch customer data from your CRM or ERP before the call starts, so your voice agent can greet callers by name and reference their account details.
- [Pre-recorded Audio](https://docs.ambivertai.tech/voice-agent/pre-recorded-audio.md): Build hybrid voice agents that combine pre-recorded audio with dynamic text generation for lower latency, reduced TTS costs, and natural-sounding conversations.
- [QA](https://docs.ambivertai.tech/voice-agent/qa.md): QA node allows you to run post-call quality analysis on your Voice Agent runs
- [Start Call](https://docs.ambivertai.tech/voice-agent/start-call.md): You can use Start Call node to Start the call and configure how Agent greets the user when the conversation starts.
- [Template Variables](https://docs.ambivertai.tech/voice-agent/template-variables.md): You can use Template Variables in your prompts for your Agent nodes, or when constructing the payload for the Webhook Node
- [Call Transfer](https://docs.ambivertai.tech/voice-agent/tools/call-transfer.md): Enable your AI agent to transfer calls to phone numbers or SIP endpoints with built-in call transfer functionality.
- [End Call](https://docs.ambivertai.tech/voice-agent/tools/end-call.md): Allow your AI agent to terminate calls when conversations reach a natural conclusion or specific conditions are met.
- [HTTP API](https://docs.ambivertai.tech/voice-agent/tools/http-api.md): Create REST API tools that your AI agent can invoke during conversations to integrate with external systems.
- [Tools](https://docs.ambivertai.tech/voice-agent/tools/introduction.md): Extend your voice agent's capabilities by giving it tools to perform actions during live conversations.
- [MCP Tool](https://docs.ambivertai.tech/voice-agent/tools/mcp-tool.md): Connect an external MCP server to your voice agent so the LLM can call remote tools during a live conversation.
- [Webhook](https://docs.ambivertai.tech/voice-agent/webhook.md): Webhook node allow you to sync the result of Voice Agent runs to your external systems, like CRM or to other workflow orchestrator like Zapier or n8n.