Developer documentation

The Dialt voice engine

Use Dialt's API and SDKs to build voice assistants, connect your tools, run evaluations and monitor conversations. To train a model on your data, contact our team.

Get an API key Browse recipes

SDKs

Choose your SDK

Keep persistent API keys on your backend. Browser and native apps connect with scoped session credentials.

TypeScript / JavaScript SDKBrowser media, headless Node.js realtime and a generated HTTP client.npm install @dialt/sdk Python SDKServices, telephony bridges and devices that manage their own audio.uv add dialt-sdk Swift SDK · ExperimentalNative voice and text for macOS and iOS. Add dialt-ai/dialt-swift through Xcode’s Swift Package Manager.

For other languages and custom media stacks, use the WebSocket integration guide. See the Swift SDK’s validation notes for device coverage.

Using Pipecat? The Dialt-maintained Pipecat plugin (alpha) includes setup instructions, a minimal pipeline and supported features and limitations.

Recipes

Start from a working example

Dialt recipes are runnable application patterns built on the public SDKs. Each example includes its setup instructions. Your application owns its business rules and tool execution.

Agent handoffUse the Python SDK to pass a live conversation from intake to a specialist. Policy guidanceDeclare session policies and inspect guidance events with the Python SDK. Guided researchBuild an interview from a conversation plan in Python or the browser. Twilio callsConnect inbound phone calls through the maintained Python Media Streams bridge.

API reference

HTTP APISession credentials, voices, sessions and recording segments. Realtime APISession configuration, control messages, tool calls and events. Background tools guideLong-running jobs, progress, decisions, cancellation and completion.

API schemas: OpenAPI · AsyncAPI. For coding agents: documentation index.

Evaluate and improve

Learn from conversations

Inspect transcripts, recordings and tool calls in Sessions. Use conversation evals to assess behavior and compare changes to your instructions and tools.

Start with a simulation recipe, or use the Python evals client to run your own cases.