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Best practices for building reliable, compliant AI applications in production.
How to Set Budget Limits on the OpenAI API
OpenAI gives you account-level spending caps, but nothing stops one rogue agent from burning through your entire monthly budget. Here's how to enforce per-agent, per-user spending limits without touching your application code.
Automatic LLM Failover: Never Let a Rate Limit Break Your App
Rate limits, provider outages, and model degradations are a fact of life when building with LLMs. Automatic failover lets your app keep running even when OpenAI goes down — without a single line of retry logic in your code.
PII Redaction for LLM Applications: Protect User Data Before It Reaches the Model
Sending user data to LLM APIs creates real compliance and privacy risks under GDPR, HIPAA, and SOC 2. Proxide's automatic PII redaction strips sensitive identifiers from prompts before they leave your infrastructure — with zero code changes.
Cut Your LLM API Costs with Semantic Caching
Exact-match caching saves almost nothing for LLM workloads because users never type the same prompt twice. Semantic caching matches by meaning — and typically reduces API costs by 20–40% on real workloads.