Add Tempr's AWS Bedrock models - #7586
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The mirror copied each host entry's root scalars and tables verbatim, including ones restating the lab's own values -- a merge blocker under the override-only rule. Now compared against the lab entry and kept only where they genuinely differ.
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Too big of a pr. |
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Third batch for Tempr's AI Gateway (
api.temprhq.io/v1), after #7448 and #7452: the 165 AWS Bedrock models it serves. Tempr relays Bedrock on the caller's own AWS credentials, with no markup on tokens.Each entry mirrors
providers/amazon-bedrock's ownbase_modelattribution, per-model deltas and pricing, since that's the same model served on the same account. Region-prefixed ids (us.,eu.,global.) are Bedrock's own, and Tempr addresses them asaws-bedrock/<bedrock id>.Reasoning controls are what Tempr's own
GET /v1/modelsreports for each model, taken from the service's code rather than copied from the lab or the host — the same model family genuinely differs per host. On Bedrock specifically, Tempr sendsreasoning_efforton the OpenAI-compatible surface and Converse's own fields on/v1/messages, and Bedrock accepts only each model's declared levels. Each file's leading comment records the exact fields a caller sets; models that reason with no caller control arereasoning_options = [], which on this host means Tempr sends nothing and thex-tempr-reasoning-effortheader reportsdefault. Docs: https://temprhq.io/docs/gateway-chat-completions#reasoningThe remaining inference hosts Tempr serves (DeepInfra, Together AI, Fireworks AI, Hugging Face) follow in a separate PR, since those plus this one are past the 300-file limit for one diff.
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