2 API Gateway Designs for OpenAI, Claude, Gemini Batch Moderation (US/EU)

Description and use

A fintech team implemented a unified API gateway for moderation that supports multiple LLM providers. The gateway standardizes the contract, enforces a strict JSON schema, records the chosen model, and supports batch processing for non‑urgent requests while maintaining routing control and regulatory compliance.

Problem

Fintech teams need to classify moderation reports before human review while balancing cost, latency, and regulatory control across multiple LLM providers.

Outcome

The hosted gateway (Infrai) enabled rapid deployment, unified billing, and batch moderation for non‑urgent reports, reducing integration overhead. For teams needing strict routing control, a self‑hosted LiteLLM gateway remains viable.

Workflow

• 1. Define a normalized moderation schema (report_id, category, risk, rationale, urgent_human_review).
• 2. Freeze operating rules: exclude account data, validate output against schema, attach correlation ID and model name, route failures to human review.
• 3. Choose gateway shape: hosted (Infrai) for quick deployment and cost control, or self‑hosted (LiteLLM) for strict routing and policy control.
• 4. Benchmark candidate models on a fixed evaluation set, measuring classification accuracy, token counts, cost, and batch suitability.
• 5. Deploy the gateway, configure the chosen model via environment variables, and instrument cache hits and per‑call cost.
• 6. For urgent reports, keep synchronous calls; for backlog, enqueue for nightly batch processing.
• 7. Continuously monitor validation failures, cost metrics, and adjust routing rules based on observed traffic.

Evidence

Use an OpenAI-compatible API gateway across Claude and Gemini when moderation classification is replaceable and cost-sensitive; self-host when routing policy or data-plane control matters more than setup time.

Source

The hosted design wins my first-call test. The application submits a normalized moderation report, requests a strict JSON result, and records the chosen model with the response.

Source