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Short answer: put an OpenAI-compatible image request behind a small dispatcher, load image-capable model IDs from a catalog at deploy time, and keep the primary and fallback in configuration. Fail over only on transient failures. A rejected prompt is not a reason to ask another provider.
A candidate-scoring pipeline should treat transcription as a discovered dependency, not as a feature implied by an OpenAI-compatible base URL. Check the capability manifest before accepting audio, keep separate eligibility decisions for US and EU deployments, and route to an approved speech…
RunInfra now focuses on hosted inference for agents, with pay-as-you-go Model APIs and setup guides for Claude Code, Codex and other coding agents.
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