voice-ai
Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state m...
Source#
- Repository: rapidaai/voice-ai
- Last source update: 2026-04-04
- Last verified: 2026-04-05
Tags#
Integration notes#
Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: voice-ai-repo-derived-worker
name: voice-ai Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/voice-ai/
source_repository: https://github.com/rapidaai/voice-ai
repository_default_branch: main
repository_language: Go
repository_license: NOASSERTION
repository_updated_at: 2026-04-04
worker_mode: workflow-automation-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-04-05
tags:
- agent-framework
- ai-voice
- ai-voice-agent
- audio-streaming
- golang
- open-source
---
# voice-ai Repo-Derived Worker
## Repo-derived summary
- Registry summary: Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state m...
- Repository description: Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state management, and observability.
- Stars (snapshot): 708
- Primary language: Go
- Worker mode classification: workflow-automation-worker
## Extracted from
- https://github.com/rapidaai/voice-ai
- https://github.com/rapidaai/voice-ai/blob/main/README.md
- https://img.shields.io/github/stars/rapidaai/voice-ai?style=social&label=Star&maxAge=2592000
- https://github.com/rapidaai/voice-ai/actions/workflows/github-code-scanning/codeql/badge.svg
- https://img.shields.io/github/v/release/rapidaai/voice-ai
## Evidence notes (from repository text)
- README summary paragraph: https://rapida.ai is an open-source platform for designing, building, and deploying voice agents at scale. It’s built around three core principles:
- # Rapida: End-to-End Voice Orchestration Platform
- https://rapida.ai is an open-source platform for designing, building, and deploying voice agents at scale.
- - **Observable** — deep visibility into calls, latency, metrics, and tool usage
- - **Customizable** — flexible architecture that adapts to any LLM, workflow, or enterprise stack
- Rapida provides both a **platform** and a **framework** for building real-world voice agents—from low-latency audio streaming to orchestration, monitoring, and integrations.
## Installation hints found in README
- No explicit package installation command detected in README text.
## worker.md contract (derived starter)
Purpose: Execute one automation workflow step in a bounded worker run.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"trigger",
"step"
],
"properties": {
"run_id": {
"type": "string"
},
"trigger": {
"type": "object"
},
"step": {
"type": "string"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"step",
"status",
"artifacts"
],
"properties": {
"run_id": {
"type": "string"
},
"step": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"artifacts": {
"type": "array"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
voice-ai-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/voice-ai/
Source URL: https://github.com/rapidaai/voice-ai