A Python framework guide for building real-time voice and multimodal bots. It describes streaming speech recognition, language-model processing, text-to-speech, browser or network connections, and deployment to Pipecat Cloud.

Use it to build voice bots, connect WebRTC or WebSocket clients, handle speech and turn-taking, add server-side function calls, and deploy bots.

It helps organise the pieces of a live voice or mixed voice-and-media conversation into a working pipeline.

pipecat — Skill for Claude Code and Codex by itechmeat/llm-code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add itechmeat/llm-code --skill pipecat

Clone the repo

git clone --depth 1 https://github.com/itechmeat/llm-code

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/itechmeat/llm-code/pipecat/github.svg)](https://agentmods.dev/skills/itechmeat/llm-code/pipecat)

Your own site

<a href="https://agentmods.dev/skills/itechmeat/llm-code/pipecat"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/pipecat/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/itechmeat/llm-code/pipecat"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/pipecat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,876 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00087	$0.03876
Opus 5.5	$0.00035	$0.01550
Sonnet 5.5	$0.00017	$0.00775
Haiku 4.5	$0.00009	$0.00388

Measured 24d ago against content hash 02536176f1e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pipecat scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 24d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/pipecat/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipecat

Pipecat is an open-source Python framework for building real-time voice and multimodal bots. It composes streaming speech/LLM/TTS services into a low-latency pipeline, connected via transports (WebRTC/WebSocket) and client SDKs using the RTVI message standard.

Mental model (cheat sheet)

Pipeline: ordered processors that consume/emit frames.
Frames: the streaming units (audio/text/video/context/events) flowing through the pipeline.
Transport: connectivity + media IO + session state (WebRTC/WebSocket/provider realtime).
Runner: HTTP service that starts sessions and spawns a bot process with transport credentials.
Client SDK: starts the bot, connects transport, sends messages/requests, receives events.

Read the full file on GitHub · 186 lines

Files

What ships with it

19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

24d ago Changed · +6 lines 02536176f1e6
1mo ago Changed · +23 lines c4760d0054d8
1mo ago First seen · 157 lines · 87 tokens per session scan A 790d49a2b854

Subscribe to this mod's changes

pipecat is a skill published in the GitHub repository itechmeat/llm-code (24 stars, last pushed 24d ago), licensed MIT. It adds 87 tokens to every session and 3,876 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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