flatkey.ai Blog
Insights, product notes, and implementation guides for teams building on AI APIs.
AI Gateway Architecture
Latest articles in AI Gateway Architecture.
Read moreBase URL and SDK Migration
Latest articles in Base URL and SDK Migration.
Read moreCost, Billing, and Ops
Latest articles in Cost, Billing, and Ops.
Read moreEnterprise Controls and Trust
Latest articles in Enterprise Controls and Trust.
Read moreGateway Comparisons
Latest articles in Gateway Comparisons.
Read moreModel and Modality Playbooks
Latest articles in Model and Modality Playbooks.
Read moreReliability and Routing
Latest articles in Reliability and Routing.
Read moreTool Integrations
Latest articles in Tool Integrations.
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Claude Code API Router Setup: Base URL, Models, and Usage Logs
A Claude Code API router setup is not the same as changing an OpenAI SDK base URL. Claude Code speaks the Anthropic Messages gateway shape, so the important checks are the router root, the credential header, the model name Claude Code will send, and the usage records that prove requests are reaching
Cline OpenAI compatible API: Flatkey Setup Guide
If you are setting up the Cline OpenAI compatible API provider, the visible fields are simple: Base URL, API key, and model ID. The production risk is less obvious. A wrong path, stale model alias, unchecked model capability, or unowned key can make Cline fail only after a developer starts relying o
AI API Invoice Reconciliation: Match Usage, Pricing Units, and Recharge Records
Use AI API invoice reconciliation to match usage logs, pricing units, API keys, owners, quotas, invoices, and prepaid recharge records.
Token Usage Dashboard AI API: Fields Engineering and Finance Both Need
Build a token usage dashboard AI API teams can trust with fields for tokens, requests, model, key owner, cost, quota, recharge, and finance review.
GPT Image vs Gemini Image API: Routing and Pricing Questions Before You Choose
Use this GPT Image vs Gemini Image API checklist to compare routes, pricing units, Flatkey catalog status, logs, quotas, and production checks.
AI Model Catalog Guide: How to Read Providers, Endpoints, Groups, and Prices
Use this AI model catalog guide to read providers, endpoints, groups, availability status, pricing units, and route checks before production.
AI API Vendor Risk Assessment: Questions for Multi-Model Gateways
Use this AI API vendor risk assessment checklist to review provider exposure, data flow, SOC 2, ISO 27001, GDPR, logs, fallback, billing, and buyer controls.
SOC 2 AI API Gateway Evidence: What to Verify Before Procurement
Use this SOC 2 AI API gateway evidence checklist to verify report scope, logs, provider routes, ISO 27001, GDPR, and buyer controls before procurement.
GDPR AI API Gateway Checklist: Data Boundaries, Logs, and Vendor Review
Use this GDPR AI API gateway checklist to map data boundaries, logs, retention, fallback, transfers, and vendor review before production AI traffic.
AI API Audit Logs: What Security Reviewers Ask For
Use this AI API audit logs checklist to show reviewers who used each model route, what was logged, what was redacted, and how evidence is retained.
Key Rotation for AI API Gateways: Rotate One Router Key Without Breaking Apps
Use this AI API key rotation runbook to create a replacement router key, canary traffic, roll back safely, revoke the old key, and save audit evidence.
Circuit Breakers for LLM API Gateways: Protect Apps From Provider Failure Loops
Use an LLM API gateway circuit breaker to stop provider failure loops, classify errors, protect retries, and route to fallback, queue, or fail closed.
Model Fallback Checklist: Quality, Cost, Tools, and Compliance Boundaries
Use this model fallback checklist to evaluate quality, cost, tools, streaming, compliance, logs, and rollback before automatic AI gateway fallback.
Streaming AI API Reliability: SSE, Timeouts, and Router-Level Failure Modes
Use streaming AI API reliability tests to catch SSE stalls, proxy timeouts, partial outputs, retry risks, and router failover gaps before production.
AI API Retry Strategy: When to Retry, Switch Models, Queue, or Fail Closed
Use an AI API retry strategy to decide when to retry, switch models, queue work, or fail closed without hiding quota, auth, or routing incidents.
AI API Observability Logs: What to Capture for Model Routing Incidents
Use AI API observability logs to debug model routing incidents with request IDs, routes, retries, fallback, tokens, latency, cost, and privacy-safe metadata.
AI API Cost Attribution by Team: From One Key to Accountable Usage
Use AI API cost attribution to assign model usage to teams, cost centers, workflows, quotas, and monthly billing review without one shared key.
Prepaid AI API Billing vs Direct Provider Accounts: Operational Tradeoffs
Compare prepaid AI API billing with direct provider accounts across balance control, invoices, quotas, usage logs, support, and provider-level review.
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