Kikuyu Latency (MMS + GPT-4.1 + GhanaNLP) (A2A)

This workflow is designed specifically to measure end-to-end latency for voice-based AI interactions, rather than to provide full answers. Incoming audio (in Kikuyu or other selected languages) is transcribed, processed by an AI assistant with a maximum output of 10 tokens, and then synthesized back to audio. This setup allows for reliable benchmarking of system response time across the transcription, AI, and text-to-speech components.

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Knowledge Base

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💪 Capabilities

Choose a language to translate incoming text & audio messages to English and responses back to your selected language. Useful for low-resource languages.

  Filter by Language


Choose an AI model & language to translate incoming text & audio messages to English and responses back your selected language. Useful for low-resource languages.



Run cost = 4 credits

Breakdown: 1 (GPT-4.1) + 3/run

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How to Use This Recipe

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