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 Base URL and SDK Migration.
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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.
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Latest articles in Reliability and Routing.
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Latest articles in Tool Integrations.
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Seedance API for text-to-video product teams: when an open-source AI API gateway is not enough
Use this Seedance API guide to decide when an open-source AI API gateway is enough and when hosted routing, billing, and team controls save time for text-to-video products.
OpenRouter alternative for Claude API access: Flatkey vs OpenRouter for teams
Compare Flatkey and OpenRouter for Claude API access, billing visibility, routing policy, privacy controls, and team guardrails before you standardize on one gateway.
Multi-model prompt testing workflow
Learn a practical multi-model prompt testing workflow to forecast AI API text, image, and video costs before launch.
Fallback Routing for LLM APIs: Multimodal Agent Routing for Text, Image, Audio, and Video
Design safer fallback routing for LLM APIs by separating text, image, audio, and video jobs into explicit multimodal routing and verification classes.
Seedance API for text-to-video product teams
Verify Flatkey auth, base URL, and usage logs with one quickstart request, then swap to the approved Seedance route for async text-to-video evaluation.
Gemini API integration checklist for production apps
A production-ready Gemini API checklist for teams using CC Switch or NewAPI-style clients and one upstream gateway instead of separate Gemini credentials.
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.
OCR Model Routing: How to Balance Text Extraction Cost, Quality, and Fallback Checks
If you are planning **OCR model routing**, the hard part is not finding a model that can read text from an image or PDF. The hard part is deciding which route should handle plain-text OCR, which route should handle forms
Claude API pricing in 2026: model costs, workload math, and when a gateway helps
If you are evaluating **Claude API pricing** in July 2026, the first question is not just "what does Claude cost?" It is "which Claude workload am I actually buying?" The right answer changes if you are running lightweig
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 Compatible API Gateway: Migration Checklist for Minimal Code Changes
If your team already uses the OpenAI SDK, an **openai compatible api gateway** is appealing for one simple reason: you can often keep your client pattern, switch the **base URL**, and move model choice plus access policy
Unified AI API: When One Access Layer Beats Separate Provider Accounts
A **unified ai api** gives a product team one key, one endpoint pattern, and one control surface for multiple model providers. In practice, that means fewer provider dashboards, fewer scattered API keys, and fewer one-of
Regional LLM Provider Routing: When DeepSeek, Qwen, and Local Providers Need Separate Checks
If you are planning **regional LLM provider routing**, the hard part is not finding one more OpenAI-compatible endpoint. The hard part is deciding when a DeepSeek route can be treated like a normal cloud provider, when a
Speech-to-Text API Routing: How to Balance Transcription Cost, Latency, and Data Controls
If you are planning speech to text API routing, the hard part is not finding a provider that can transcribe audio. The hard part is deciding which route should handle live captions, which route should absorb backlog jobs
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 Canary Release: Move Model Traffic Safely Without a Big-Bang Cutover
Use an LLM router canary release to move model traffic in stages with metrics, stop conditions, rollback triggers, and Flatkey checks.
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.
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