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

说明与用途

金融科技团队实现了一个统一的API网关，用于多 LLM 提供商的内容审核。该网关统一了请求协议，强制执行严格的 JSON 模式，记录所选模型，并支持非紧急请求的批处理，同时保持路由控制和合规性。

问题

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

结果

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.

工作流

• 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.

证据

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.

来源

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.

来源