daily

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Documentation and capabilities reference for Daily

AI & Automation 40,440 stars 6528 forks Updated today MIT

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Skill Content

## When to Use - You are building a real-time voice or multimodal AI application that uses Daily or Pipecat-style transports. - You need guidance on low-latency audio, video, text, and AI service orchestration in one pipeline. - You want a capability reference before choosing services, transports, or workflow patterns for an interactive agent. ## Capabilities Pipecat enables agents to build production-ready voice and multimodal AI applications with real-time processing. Agents can orchestrate complex AI service pipelines that handle audio, video, and text simultaneously while maintaining ultra-low latency (500-800ms round-trip). The framework abstracts away the complexity of coordinating multiple AI services, network transports, and audio processing, allowing agents to focus on application logic. Key capabilities include: - Real-time voice conversations with natural turn-taking and interruption handling - Multimodal processing combining audio, video, images, and text - Integration with 50+ AI services (LLMs, speech recognition, text-to-speech, vision models) - Function calling for external API integration and tool use - Automatic conversation context management with optional summarization - Multiple transport options (WebRTC, WebSocket, Daily, Twilio, Telnyx, etc.) - Production deployment across cloud platforms with built-in scaling ## Skills ### Pipeline Architecture & Frame Processing Agents can construct pipelines that connect frame processors in sequence to handle...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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