The problem
How it works
Pipecat chains speech-to-text, an LLM and text-to-speech, or a speech-to-speech model, into a real-time conversation pipeline. Its README lists dozens of providers for each stage, WebRTC and WebSocket transports, and serializers for Twilio, Telnyx, Plivo, Exotel, Genesys and Vonage. Examples include a phone agent for inbound and outbound calls, and an IVR navigator that dials out, works through a phone menu with keypad tones and speech, and stops once a person answers.
Results and limitations
The README documents capabilities and examples, not a measured outcome. Pipecat Flows adds structured conversation paths with state for tasks such as intake or support.
Before you try it
Calling real people brings legal duties: get consent before recording, tell callers they are speaking with an automated assistant where the law requires it, and follow telemarketing rules such as calling hours and do-not-call lists. Start with inbound calls or test numbers, keep a path to a human, and budget for per-minute charges from the telephony, speech and model providers. Pipecat needs Python 3.11 to 3.14 and is BSD-2-Clause licensed. Results depend on your setup and were not independently reproduced by Top 200 Repos.
Tools and repositories
No ranked repository is involved. This use case still stands on its own source.
- Tools
- Pipecat (Python 3.11 to 3.14) · A telephony provider such as Twilio or Telnyx · Speech-to-text, LLM and text-to-speech provider accounts
- Prerequisites
- Python 3.11 or later, a telephony account with a test number, and API keys for the chosen speech and model providers.
Try it yourself: Design a consent-first phone agent
Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].
Help me build a Pipecat voice agent for [Business name] that answers inbound calls about [What callers need]. Draft the opening line so the caller hears that they are speaking with an automated assistant and, if we record, that the call is recorded. Define the Pipecat Flows states: greeting, collect [Details to collect], read the details back for confirmation, and hand off to a human at [Human hand-off number] whenever the caller asks or the bot is unsure. The agent must not take payments, give legal or medical advice, or place outbound calls. Suggest providers for speech-to-text, the LLM and text-to-speech, and list the costs I should estimate before testing on a non-production number.Check recording-consent and automated-calling rules for every region you serve before going live.
Sources
- pipecat-ai/pipecat README (opens in a new tab)
Project documentation · github.com · Undated · Source checked 11 Nov 2026, 22:05 UTC
What this source supports
- Open-source Python framework for real-time voice and multimodal conversational agents
- Telephony serializers for Twilio, Telnyx, Plivo, Exotel, Genesys and Vonage
- Phone agent example for inbound and outbound calls, and an IVR navigation example
- Supports many speech-to-text, LLM, text-to-speech and speech-to-speech providers
- Pipecat Flows for structured conversations; Python 3.11 to 3.14; BSD-2-Clause licence