cartesia

What problem does it solve?

Cartesia area coordination and debugging across multiple speech-to-text, text-to-speech, and language-model integrations within Tone's pipecat ecosystem. It helps engineers understand how word timing, message construction, and cross-service coordination operate, enabling faster diagnosis and safer enhancements.

Core Features & Use Cases

• Explore core Cartesia components such as tts.py, stt.py, and grok realtime llm to learn how they interact.
• Trace word-timing, language detection, and message sequencing to optimize latency and accuracy.
• Use case: diagnose a delay in voice response by inspecting current audio response, build_msg, and start/stop flows.

Quick Start

Examine the Cartesia modules in pipecat (tts.py and stt.py) to understand how messages are built and how timing and connections are managed.