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The Nemo Router Blog

Notes on shipping reliable LLM infrastructure.

Engineering, product, and company posts from the Nemo Router team. What we shipped, why we built it that way, and the trade-offs we made along the way. Code-first, cost-honest, no vendor-marketing fluff.

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Featured · Latest deep-dive
The Business Case for an LLM Gateway
Featured· Company

The Business Case for an LLM Gateway

Most AI-gateway pages list features. The buying decision is about four outcomes — save money, reduce AI costs, better performance, faster deployment. Here is how to build the internal case around each one.

Nemo Team
8 min
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64 posts found
Predictable AI Spend: Budgets That Cannot Be Blown
Product

Predictable AI Spend: Budgets That Cannot Be Blown

Set a hard dollar ceiling per key, team, and org. A runaway agent or a traffic spike can never turn into a surprise bill — requests stop at the limit, not after the money is gone.

Nemo Team
7 min
Ship AI Features Faster: API Key to Production in an Afternoon
Guides

Ship AI Features Faster: API Key to Production in an Afternoon

Go from signup to a production-ready AI call in minutes, then add models and providers without new integrations. Here is how NemoRouter cuts your AI time-to-market from weeks to an afternoon.

Nemo Team
7 min
Route Requests Automatically for Better Performance
guides

Route Requests Automatically for Better Performance

Send every LLM call to the fastest healthy provider and fail over automatically — lower tail latency and fewer outages, with no manual failover code to maintain.

Murugesh
6 min
Reduce AI Costs Without Changing Your Code
product

Reduce AI Costs Without Changing Your Code

Point one OpenAI-compatible key at NemoRouter and your spend drops — requests route to the cheapest model that still clears your quality bar. No app rewrite.

Nemo Team
6 min
Access Every AI Model With One API
Product

Access Every AI Model With One API

One OpenAI-compatible key unlocks 78+ models across Anthropic, Google, and OpenAI — with AWS Bedrock shipping next. Swap models by changing one string, no per-provider SDKs or keys.

Nemo Team
6 min
Cost vs Usage: Finding the Quietly Expensive Model
Engineering

Cost vs Usage: Finding the Quietly Expensive Model

Request count and dollar cost tell different stories. Here is how cost-vs-usage analytics surface the low-volume model that dominates your bill — and the cheap one you can route more traffic to.

Nemo Team
8 min
Forward LLM Logs to Datadog, Langfuse, S3, and Slack
Guides

Forward LLM Logs to Datadog, Langfuse, S3, and Slack

Your LLM traffic should land in the observability stack you already run. Here is how logging callbacks fan-out gateway events to Datadog, Langfuse, S3, and Slack without coupling your app to any of them.

Nemo Team
7 min
The Free Promo Tier: Signup Credits Explained
Guides

The Free Promo Tier: Signup Credits Explained

Start building before you spend a cent. Here is how the promotional free tier works — signup credits, what they unlock, and how the first top-up promotes you to a paid tier without losing anything.

Nemo Team
6 min
Redacting PII From LLM Logs Without Losing Debuggability
Engineering

Redacting PII From LLM Logs Without Losing Debuggability

You can keep useful request logs and still not warehouse customer PII. Here is how write-time redaction, structure-preserving placeholders, and metadata scrubbing keep LLM logs debuggable but safe.

Nemo Team
8 min

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