📂 Assistant Code 👁 3.1k views 🕐 May 24, 2026

LiveKit

LiveKit is an open-source framework and developer platform designed for building, testing,.

LiveKit is an open-source framework and developer platform designed for building, testing, deploying, scaling, and observing agents in production. It is primarily aimed at developers and teams looking to integrate AI into their applications or services. LiveKit provides a comprehensive set of tools and features to support the development and deployment of AI agents, including speech-to-text (STT) and text-to-speech (TTS) models, as well as background noise suppression and enhanced noise cancellation. The platform's key capabilities include the ability to estimate costs for AI voice and video agents, manage concurrent agent sessions, and utilize LiveKit Inference credits for AI inference requests. By leveraging these features, developers can efficiently build and deploy AI-powered agents that can interact with users in a more natural and intuitive way. This is particularly beneficial for use cases such as customer service chatbots, virtual assistants, and interactive voice response systems. LiveKit's flexibility and scalability make it an attractive option for businesses and organizations seeking to integrate AI into their operations, especially those with complex conversational workflows or high traffic volumes.

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Features
STT model prices
LiveKit offers speech-to-text models with pricing based on per-minute usage, allowing developers to estimate costs for AI voice agents.
TTS model prices
The platform provides text-to-speech models with pricing based on per-minute usage, enabling developers to estimate costs for AI voice agents.
LiveKit Inference credits
These credits are used for AI inference requests across LLM, STT, and TTS models, with pricing based on per-minute usage.
Concurrent agent sessions
LiveKit supports multiple concurrent agent sessions, allowing developers to deploy and manage large-scale AI agent deployments.
Verdict
Best forTeams doing Assistant Code work who need consistent output without a steep learning curve.
Skip ifYou only need this once or twice; the subscription cost won't pay off for occasional use.
LiveKit's open-source nature allows for community-driven development and customization, making it a flexible option for developers.
The platform's pricing model, based on per-minute usage, provides a cost-effective solution for businesses with varying levels of AI agent usage.
LiveKit's support for concurrent agent sessions and LiveKit Inference credits enables developers to deploy and manage large-scale AI agent deployments efficiently.
LiveKit's pricing model can become complex, especially for large-scale deployments, making it challenging for developers to estimate costs accurately.
The platform's requirements for LiveKit Inference credits and concurrent agent sessions may limit the scalability of AI agent deployments for smaller businesses or projects.
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Frequently Asked Questions
LiveKit is an open-source framework and developer platform for building, testing, deploying, scaling, and observing agents in production. It provides a set of tools and features to support the development and deployment of AI agents, including speech-to-text and text-to-speech models.
LiveKit offers pricing plans with costs based on per-minute usage for STT and TTS models, as well as LiveKit Inference credits. The exact pricing tiers and costs are not publicly disclosed, but the platform provides a pricing page with estimates for AI voice and video agents, concurrent agent sessions, and LiveKit Inference credits.
LiveKit's key features include speech-to-text and text-to-speech models, background noise suppression, enhanced noise cancellation, and LiveKit Inference credits for AI inference requests. The platform also supports concurrent agent sessions and provides estimates for AI voice and video agents.
LiveKit is commonly used for building and deploying AI-powered chatbots, virtual assistants, and interactive voice response systems. It is particularly useful for businesses with complex conversational workflows or high traffic volumes, such as customer service teams and virtual assistant developers.
LiveKit stands out from other AI agent development platforms due to its open-source nature, flexible pricing model, and support for concurrent agent sessions and LiveKit Inference credits. However, the platform's complexity and requirements for LiveKit Inference credits may limit its scalability for smaller businesses or projects.
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