1 shared gateway, separate model access by key. Keep experimental models off production workflows with per-key allowlists—no need to point clients at a different endpoint. #ModelRouting #OpenAICompatibleAPI https://temprhq.io/gateway

Production clients on approved models; experiments on a separate allowlist—all through the same gateway endpoint. Keep the client destination; set model access per virtual key. #ModelRouting #OpenAICompatibleAPI

Keep the client config fixed: give each workflow a virtual key, then allow its approved models and set RPM/TPM limits. One OpenAI-compatible endpoint, different guardrails per key. #VirtualAPIKeys #OpenAICompatibleAPI https://temprhq.io/gateway

Still treating one happy-path run as proof every workflow is compatible? Monthly, replay one fixture per workflow: schema-check JSON, verify tool + required args, then scan gateway logs for errors. #OpenAICompatibleAPI #LLMObservability https://temprhq.io/gateway

What will a new dev workflow cost on this model?
Test model cost before full rollout. Run a small batch through Tempr Gateway, compare logged cost per request, then route full traffic. #AIUsageAnalytics #OpenAICompatibleAPI https://temprhq.io/gateway