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Telnyx AI: Assistants — Documentation Index

Assistants documentation within the AI section of the Telnyx developer docs (https://developers.telnyx.com). Root index: https://developers.telnyx.com/llms.txt · AI index: https://developers.telnyx.com/development/llms/ai-llms-txt.md · Full content for this subsection: https://developers.telnyx.com/development/llms/ai-assistants-llms-full-txt.md

Guides

  • Voice Assistant: Build a voice AI assistant in the Telnyx portal without writing code. Pick a model and voice, attach a phone number, and start taking inbound calls.
  • Multi-Participant Calls: Invite additional participants into a live Voice AI call and control when your assistant should speak or stay silent.
  • Memory: Give Telnyx AI Assistants long-term memory so they recall caller details across sessions. Configure memory scope, retrieval, and conversation history.
  • Dynamic Variables: Personalize Telnyx AI Assistant prompts with dynamic variables. Pass caller context, account data, and CRM fields at runtime into the assistant instructions.
  • Conversation Workflows: Design multi-step Telnyx AI Assistant conversations with workflow nodes, conditional routing, per-step instructions, model and voice overrides, and assistant routing.
  • Async Tools: Build responsive Telnyx AI Assistants that keep talking while slow backends run. Use async webhooks and the Add Messages API together or independently.
  • Filler Messages: Eliminate dead air during synchronous webhook tool calls by configuring scripted filler phrases that play at timed intervals while your backend processes requests.
  • Tools Library: Create tools once and share them across all your AI assistants. Migrate legacy tools at your own pace.
  • AI Assistants and Edge Compute: Use a Telnyx Edge Compute function as the backend for dynamic variables and webhook tool calls — no separate server required.
  • Client-Side Tools: Let your AI assistant call functions that run in the browser during a conversation. Configure client-side tools in the portal and implement handlers with the Telnyx AI Agent library.
  • Agent Handoff: Enable seamless AI-to-AI handoffs with specialized assistants working together in a single conversation, providing expert-level support across multiple domains.
  • Voicemail Detection on Transfer: Configure Voice AI Assistants to detect voicemail on transferred calls and respond automatically.
  • Scheduled Events: Schedule outbound phone calls and SMS messages from Voice AI Assistants, with configurable retry policies for unanswered calls.
  • Transcription Settings: Choose and configure speech-to-text (STT) models for AI Assistants, including Deepgram, Azure, AssemblyAI, xAI, and Parakeet models.
  • Integrations: Connect Telnyx AI Assistants with enterprise platforms like Salesforce, HubSpot, ServiceNow, Zendesk, Microsoft Teams, Notion, Stripe, and more to automate workflows during conversations.
  • Testing, Versions & Traffic Distribution: A/B test Telnyx AI Assistant versions in production. Split traffic across prompts, models, and voices to measure quality before promoting a new version.
  • Importing Assistants: Import AI assistants from OpenAI, ElevenLabs, Vapi, and other providers into Telnyx. Migrate prompts, voices, tools, and knowledge bases in a few steps.
  • Custom LLMs for Assistants: Configure Azure OpenAI, AWS Bedrock, Baseten, or any OpenAI-compatible endpoint as a custom LLM provider for your Telnyx AI assistants.

Missions

  • Voice Outreach: Give your AI agent a mission to research businesses, make phone calls, and report back with results — all tracked and auditable through the Telnyx Missions API.

AI Insights

  • Creating insights: Step-by-step guide to creating AI Insights in the Mission Control Portal to analyze your AI Assistant conversations.
  • Use cases: Industry-specific examples and implementation patterns for AI Insights across healthcare, customer support, sales, e-commerce, and financial services.
  • Structured insights: Create AI Insights with defined JSON schemas for consistent, structured data extraction from conversations.
  • Insight groups: Organize AI Insights into reusable groups and configure webhook delivery for automated insights distribution.
  • Telnyx-managed insights: Use built-in insights from Telnyx — Agent Instruction Following and User Satisfaction — to measure assistant quality out of the box, no custom configuration needed.

API Reference (Assistants)

Assistants

Integrations

MCP Servers

Missions

Conversations