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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OpenRouter Direct Provider Accounts vs a Gateway: When One Key Reduces Invoice Sprawl
A practical comparison of OpenRouter, direct provider accounts, and gateway operations for teams trying to reduce API key and invoice sprawl.
AI Gateway Alternatives: Evaluation Matrix for Hosted, Self-Hosted, and Provider-Native Options
Compare AI gateway alternatives by operating model, provider access, base URL migration, billing, quotas, logs, routing, and operational ownership.
CrewAI OpenAI-Compatible Router: One Key for Multi-Agent Workflows
Configure CrewAI with an OpenAI-compatible router through Flatkey, then verify base_url, model routes, tools, logs, costs, and rollback.
LangGraph Multi-Model Routing: Gateway Checks for Agent Workflows
Route LangGraph agent nodes across models through Flatkey, with gateway checks for budgets, tools, retries, logs, and rollback.
OpenCode OpenAI compatible provider setup: Route coding-agent models through Flatkey
Configure OpenCode with a custom OpenAI-compatible provider through Flatkey, then verify the base URL, model selection, logs, and rollback path.
Windsurf OpenAI compatible API setup: Route coding-agent traffic through one key
Route OpenAI-compatible app and SDK calls from Windsurf-driven projects through Flatkey without assuming a native Windsurf provider screen.
Cursor OpenAI Compatible API Setup: Base URL, Model Names, and Usage Logs
Set up a Cursor OpenAI compatible API path carefully: verify base URL support, model names, usage logs, BYOK policy, and rollback before routing traffic.
Multi-Model SDK Migration: Keep OpenAI Clients for Claude, Gemini, and DeepSeek
Plan a multi-model SDK migration that keeps OpenAI clients while testing Claude, Gemini, DeepSeek, tools, streaming, billing, and rollback.
7 Migration Tests Before Changing an AI API Base URL
A seven-step checklist for testing auth, model routing, chat completions, SDK parity, streaming, tool calling, usage, quota, and rollback before changing an AI API base URL.
OpenAI-Compatible Model Names: Avoid Alias, Provider, and Version Mistakes
A practical checklist for verifying OpenAI-compatible model names, provider model IDs, Flatkey aliases, endpoint families, and version policies before migration.
OpenAI-Compatible API Troubleshooting: Fix 401s, Model Names, Streaming, and Base URLs
A practical debug path for OpenAI-compatible API 401s, model-name errors, streaming/SSE failures, base URL mistakes, and billing readback.
One API Key for Multiple AI Models: Migration Checks Before You Switch
Verify base URL, SDK config, model aliases, usage logs, quotas, billing proof, and rollback before switching to one key for multiple AI models.
AI Gateway SLA Questions for Model Routing, Fallback, and Support
Use these AI gateway SLA questions to turn uptime, fallback, support, and third-party dependency claims into buyer-owned evidence before renewal.
AI Gateway Procurement Evidence Packet: What to Save Before Approval
Build a buyer-owned AI gateway procurement evidence packet with vendor identity, data handling, access controls, logs, billing proof, smoke tests, and sign-off triggers.
AI API Access Review: Key Owners, Rotation, Scopes, and Offboarding
Run an AI API access review for gateway keys with owners, scope checks, rotation steps, offboarding triggers, audit evidence, and Flatkey gateway review points.
AI Governance Checklist (2026): Model Approval, Launch, Re-Review, and Retirement
A 32-control AI governance checklist for teams building on model APIs, organized by NIST AI RMF Govern, Map, Measure, and Manage, with re-review triggers, EU AI Act dates, and a YAML approval record you can enforce in CI.
AI API Data Retention Checklist: Logs, Prompts, Outputs, and Billing Records
Use this AI API data retention checklist to decide which prompts, outputs, request logs, audit events, billing records, provider settings, and export copies should exist after a model call.
AI API Payload Logging: Privacy, Debugging, and Audit Tradeoffs
AI API payload logging helps teams debug model traffic, but raw prompts and responses can become sensitive records. Use this decision guide to choose metadata-only logs, redacted payloads, short-retention debug vaults, and audit evidence.
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