AssemblyAI Latency and Throughput Tuning

Overview

Tune latency and throughput with controlled, representative experiments. Preserve accuracy, privacy, credentials, spend, and rollback as separate gates.

Prerequisites

• The target repository or integration path and the requested operator outcome.
• The AssemblyAI project, environment, region, data classification, and accountable owner.
• Current first-party documentation plus credentials only for a narrowly approved live check.

Current Contract

Pre-recorded and streaming optimize different outcomes. Current models differ in languages, accuracy, latency, prompting, endpointing, and price. Benchmark representative approved fixtures rather than inherited labels such as Best or Nano, and keep privacy, quality, and spend as co-equal gates.

Authentication

For live work, inject ASSEMBLYAI_API_KEY from an approved secret manager and send the raw value only in the AssemblyAI Authorization header to the configured first-party host. Never print, commit, place in a URL, or expose it to an untrusted client. Callback secrets and temporary streaming tokens are separate credentials.