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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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.
Seedance vs Veo API: Video Generation Routing and Pricing Review
Compare Seedance vs Veo API routing and pricing units with official video model rows, Flatkey route checks, and a production readiness workflow.
GPT Image vs Imagen API: Pricing Units and Request Checks
Use this GPT Image vs Imagen API checklist to compare pricing units, request parameters, deprecation risk, and Flatkey gateway status checks.
DeepSeek vs Qwen API: OpenAI-Compatible Routing Checks
Use this DeepSeek vs Qwen API checklist to compare direct provider routes, pricing units, OpenAI-compatible behavior, and Flatkey gateway checks.
Gemini vs Claude API Routing: Cost, Context, Tools, and Reliability Checks
Compare Gemini vs Claude API routing by cost units, context limits, tool behavior, reliability checks, and when to use a gateway for one key and shared billing.
Claude vs GPT API Routing: When to Prefer Provider-Specific Models or a Gateway
Decide when to route Claude or GPT calls directly through provider APIs and when to use a gateway for one key, billing visibility, route checks, and fallback.
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 Model Approval Workflow: Governance Before New Routes Go Live
Use this AI model approval workflow to approve production model routes with route evidence, evals, safety controls, audit logs, cost guardrails, rollout steps, and renewal triggers.
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.
AI API Queueing Strategy: Protect User-Facing Workflows During Provider Outages
A production reliability playbook for protecting user-facing AI workflows with queue lanes, backpressure, fallback contracts, dead-letter rules, and route evidence.
LLM Gateway Error Taxonomy: Separate Auth, Quota, Provider, and Safety Failures
A production reliability playbook for classifying LLM gateway failures into auth, quota, provider, request, safety, and cancellation paths before retry or fallback.
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