flatkey.ai Blog
Insights, product notes, and implementation guides for teams building on AI APIs.
AI Gateway Architecture
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Latest articles in Cost, Billing, and Ops.
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Latest articles in Enterprise Controls and Trust.
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Latest articles in Gateway Comparisons.
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Latest articles in Model and Modality Playbooks.
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Latest articles in Reliability and Routing.
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OpenAI API access guide for multi-model products: Cherry Studio setup with one key
Set up Cherry Studio with one OpenAI-compatible gateway so your team can use one key and one base URL instead of separate provider credentials.
Flatkey vs Direct Provider Accounts for Multi-Model Products
If your product already depends on more than one model family, the real decision is not “gateway or no gateway” in the abstract. The real decision is whether direct provider accounts are still simple enough, or whether t
OpenAI API Base URL (2026): Direct and Compatible Endpoints
The official OpenAI API base URL, common endpoint paths, Flatkey-compatible setup, code examples, and fixes for duplicated /v1 or 404 errors.
Unified API for AI Models: One Key, Endpoint, and Billing
A practical unified API guide for consolidating model access, keys, endpoints, usage, billing, routing, and fallback without losing provider-native options.
Multi-Upstream Account Pooling: Reliability Checks Before Sharing Model Traffic
A production checklist for safe multi-upstream account pooling across AI model accounts, with health checks, quotas, billing evidence, and fail-closed routing rules.
Model Fallback Quality Testing: When Cheaper or Faster Models Are Not Equivalent
A practical model fallback quality testing plan for proving cheaper or faster backup models preserve quality, cost, tools, policy, and observability before production routing.
LLM Router: How Model Routing Works, Strategies, and Safe Canary Rollouts (2026)
How LLM routers choose a model per request, the five routing strategies with runnable code, the best open-source and hosted routers, and a canary rollout runbook.
AI API Secret Scanning: Find Provider Keys Before They Become Incidents
Use AI API secret scanning to find provider keys in repos, CI, logs, and runbooks before leaks become incidents. Includes owner and rotation evidence.
SOC 2 AI API Gateway Scope: What the Report Should and Should Not Prove
Use this SOC 2 AI API gateway scope checklist to separate what a report can prove from route, provider, logging, retention, and buyer-owned follow-up evidence.
AI Gateway DPA Checklist: Data Processing Questions for Model Routing Buyers
A practical AI gateway DPA checklist for procurement, security, and platform teams reviewing model routing, logs, retention, subprocessors, and support access.
AI Model Provider Evidence Review: What to Save Before Approving a New Route
Save the model docs, pricing, data terms, status, support, route tests, and rollback proof every AI model provider evidence review needs before approval.
AI API Redaction Policy: Protect Prompts, Outputs, Logs, and Support Tickets
A practical AI API redaction policy for protecting prompts, outputs, gateway logs, exports, and support tickets while preserving useful audit evidence.
AI gateway KPI dashboard: SEO, Product, and Revenue Signals
A practical architecture guide for building an AI gateway KPI dashboard that joins SEO demand, product activation, routing reliability, cost, revenue, and evidence freshness.
AI API Prepaid Balance Management: Recharge Records, Alerts, and Finance Review
A practical cost-ops guide for controlling prepaid AI API balance with recharge records, low-balance alerts, auto-recharge rules, and finance review.
Per-Customer AI Usage Metering: Build Billing Evidence for Embedded AI Features
A practical cost-ops guide for turning embedded AI usage into customer-level billing evidence, from metadata to dispute packets.
LLM Cost Tracking: How to Track AI API Spend by Model, Feature, Customer, and Environment (2026)
LLM cost tracking explained: capture usage per request, price cached and reasoning tokens correctly, tag spend by feature, customer and environment, and reconcile with Anthropic and OpenAI cost APIs.
AI API Gateway Evaluation Matrix: 25 Questions Before You Move Model Traffic
A 25-question AI API gateway evaluation matrix for testing routing, keys, logs, cost evidence, support, privacy, and rollback before model traffic moves.
LiteLLM Proxy (2026): What It Is, How to Set It Up, and What It Really Costs to Run
LiteLLM proxy explained for 2026: what the AI gateway does, whether it is free, step-by-step setup with config.yaml and Docker, virtual keys, fallbacks, gateway vs proxy, and the real cost of running it in production.
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