AI infrastructure for production

The infrastructure layer for every AI application.

Nirmos gives teams one platform to access any model, route requests, reduce costs, build agents, and observe every interaction.

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production / gateway

Gateway overview

Requests

1.84M

+12.4%

Success rate

99.98%

+0.03%

P50 latency

384 ms

-8.1%

Cost

$2,418

-14.2%

Request volume

Last 24 hours

Provider routing

OpenAI42%

Anthropic31%

Google18%

Fallback9%

Live requests

streaming

RequestModelProviderLatencyTokensCostCache

req_9f31gpt-4.1-miniOpenAI482 ms1,248$0.0041Hit

req_9f30claude-sonnet-4Anthropic718 ms2,034$0.0128Miss

req_9f2fgemini-2.5-flashGoogle329 ms856$0.0023Hit

req_9f2ellama-3.3-70bGroq241 ms1,102$0.0017Miss

Built to work across your AI stack.

OpenAI

Anthropic

Google

Mistral

Groq

Cohere

Core platform

One infrastructure layer. Every model and workflow.

Compose gateway, data, and orchestration primitives without stitching together separate control planes.

AI Gateway

One endpoint for every provider, model, and environment.

API

OpenAIAnthropicGoogle

Model Routing

Route by policy and fail over automatically.

quality ≥ 0.92match

latency < 800msnext

budget < $0.02next

Semantic and Exact Caching

Reuse equivalent responses and lower inference cost.

38.4%cache hit rate

$412cost avoided

Agents and Workflows

Build durable execution paths with tools, memory, and approvals.

Input

Route

Generate

Store

Observability

Trace latency, tokens, errors, and spend.

Vector Infrastructure

Manage collections, embeddings, and retrieval.

product-docsready

1,284,991 vectors1536 dim

AI Gateway

One API for every model.

Integrate once, then use the right provider for every request without rewriting application code.

OpenAI-compatible API

Unified authentication

Provider fallback

Load balancing

Cost-aware routing

Streaming support

POST /v1/chat/completionsTypeScript

const response = await nirmos.chat.create({
 model: 'auto',
 messages: [{ role: 'user', content: prompt }],
 routing: { strategy: 'balanced' },
 stream: true
});

Routing decision42 ms

model

auto

selected

claude-sonnet-4

Observability and reliability

Understand every request.

Trace requests across providers, compare model performance, diagnose failures, and attribute cost to the right project or customer.

Request volume

84.2k+8.4%

Success rate

99.98%+0.02%

Average latency

412 ms-11.6%

Cost

$184.28-9.2%

Token usage

42.8M+5.7%

Cache hit rate

38.4%+14.1%

Distributed traces

Structured logs

Provider health

Cost attribution

Developer experience

Native to your development loop.

Use familiar SDK patterns locally, then ship the same configuration to production with typed, environment-aware tooling.

Explore documentation

Familiar SDKs

Typed clients for the frameworks and runtimes you already use.

Fast setup

Issue a key, change one base URL, and send your first request.

Environment config

Keep credentials and routing policy isolated by environment.

Local to production

Develop locally with the same request contract used in production.

terminal

$ pnpm add @nirmos/ai
$ nirmos init --environment production
✓ Gateway configured at /v1

Deploy with confidence

Build your AI stack on infrastructure designed to scale.

Start with one gateway endpoint. Add routing, workflows, and observability as your application grows.

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PRODUCTION READY