Routey Routey
First Dynamic LLM Router

Unified API Interface for 400+ LLMs

One unified API key routes every request to the model that delivers the best result at the lowest cost. Access 400+ models with intelligent prompt optimization—no configuration, no training data, no complexity.

pip install routey
bash
$ routey trace analyze --trace-id tr_abc123

Trace Analysis Complete

Analyzing request execution and performance

Model routing analyzed
Trace data collected
Checking for failures...

Performance Metrics

Model: gpt-5-nano
Cost: $0.050 / 1M tokens
Latency: 245ms
Status: Success

No errors detected · Optimal routing applied

✨ Analysis complete!

47% cost savings vs baseline

No hallucinations detected

Day 0

New models available instantly—no weeks of benchmarking

Zero Config

Works out-of-the-box—no training data or eval datasets required

47% Savings

Average cost reduction through intelligent model selection

Why Routey

The only truly dynamic router

While competitors rely on static leaderboards or require weeks to onboard new models, Routey's Semantic Fingerprinting delivers instant capability matching through zero-shot learning.

Feature Routey Martian NotDiamond OpenRouter
Instant "Day 0" Model Support
Routes to new models the second they are released without downtime.
Availability Only
Zero Retraining Required
Add new models to your pool without retraining the router.
N/A
"Fingerprint" Based Intelligence
Uses vector embeddings to match prompts to model capabilities dynamically.
Works Without User Eval Data
Smart routing works out-of-the-box; no need to upload your own datasets.
Dynamic Model Pool
Automatically adjusts traffic when models are added or removed.
Transparent Logic
You can see why a model was chosen (based on cluster similarity).

The Routey Advantage

When a new model like Gemini 3, DeepSeek-V3.2 or Llama 4 launches, Routey routes to it instantly. Competitors need 2-4 weeks of manual benchmarking or require you to upload sensitive evaluation datasets. That's the power of dynamic, zero-config routing.

See It In Action

See intelligent routing in action

Watch Routey automatically select optimal models and catch errors in real-time

routey_example.py
1 from routey import ModelPool
2
3 cli.command('init')
4 .description('Initialize project')
5 .action(async () => {
6 console.log('✨ Done!')
7 })
8
9 cli.parse(process.argv)
10
11 // Full TypeScript support
12 // Auto validation with Zod
13 // Beautiful prompts built-in
14
15 const options = await cli.prompt({
16 name: { type: 'text' },
17 features: { type: 'multiselect' }
18 })
19
20 // Lightning fast CLI framework
21 // Zero config, just works
22

Intelligent Routing

ML-based model selection

Proactive Monitoring

Real-time failure detection

Cost Optimization

47% average savings

How It Works

Capability matching, demystified

Routey reads the "DNA" of your query and every available model—matching them in real-time without leaderboards or manual benchmarks.

Semantic Fingerprinting

Every query and model receives a unique vector embedding "fingerprint." Routey's universal routing algorithm matches them through learned similarity patterns—finding the optimal model without static benchmarks.

1

Query Encoding

Your prompt is transformed into a high-dimensional embedding capturing semantic intent, task complexity, and domain characteristics

2

Universal Model Profiles

Every model in the pool gets profiled through capability embeddings—completed in seconds for new models like DeepSeek-V3 or Llama 4

3

Intelligent Matching

Our routing algorithm learns similarity patterns between queries and model capabilities, selecting the best match for performance and cost—no manual tuning required

Read the Docs (coming soon) Technology
routey_example.py
1 import routey
2 from routey import ModelPool
3
4 # One API key for 400+ models
5 client = routey.Routey(
6     api_key="ag_sk_..."
7 )
8
9 # Intelligent routing (3 lines)
10 pool = ModelPool(
11     models=["gpt-4o", "claude-sonnet-4"],
12     strategy="cost_optimized"
13 )
14
15 response = client.chat.completions.create(
16     model=pool,
17     messages=[{"role": "user",
18               "content": "Explain quantum"}]
19 )
20
21 # Auto proactive monitoring
22 print(f"Model: {response.routing.selected_model}")
Real-time Monitoring
K
Dashboard Preview

98.7%

Error detection accuracy

Proactive monitoring

47%

Average cost reduction

Through intelligent routing

<5ms

Routing latency

Lightning fast decisions

400+

Supported models

One unified gateway

Platform Features

Complete AI observability

Everything you need to build, monitor, and optimize production AI systems with confidence.

Intelligent Model Routing

ML-based query classification routes to optimal model (like NotDiamond)

Proactive Error Detection

Catch hallucinations, infinite loops, silent failures before users

Self-Healing Workflows

Auto-adjusts prompts, retry logic, and model selection from failures

Unified Model Gateway

One API key → 400+ models. OpenRouter-compatible with intelligence

Cost Optimization

47% average reduction through automatic model selection

Enterprise Compliance

SOC 2 Type II (coming soon), full audit trails, GDPR/HIPAA ready

1 API

Unified interface

Single key for all models

Day 0

New model support

Instant availability via fingerprinting

2.3s

Model profiling time

Semantic fingerprint generation

47%

Average cost savings

Through intelligent routing

Quick Start

Deploy in 5 minutes

Three simple steps to add intelligent routing and proactive monitoring to your AI agents.

01

Install

pip install routey

Add Routey to your project

02

Configure

import routey client = routey.Routey(   api_key="ag_sk_...")

Initialize the SDK

03

Deploy

Automatic routing + monitoring

Zero additional configuration

Full Documentation (coming soon)

Ready to Get Started?

Ready to deploy reliable AI agents?

Join teams shipping production AI with confidence. Start free, scale as you grow.

No credit card · 100K traces free · 5 min setup