Your AI stack shouldn't
depend on one provider.

Test models with real traffic. Switch providers without rewriting code. Know exactly what you're spending.

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Built for teams using
OpenAIAnthropicGoogle GeminiMeta LlamaMistralCohere
EXP-047Support chatbot: GPT-4o vs Gemini Flash
0 requests · running 3d
50 / 50VARIANT A · CONTROLGPT-4o$2.50/1M tokensVARIANT B · CHALLENGERGemini Flash$0.075/1M tokensGPT-4o$2.50/1M tokensGemini Flash$0.075/1M tokens
Cost (Variant B)
$2,500→$2,5000%
Per 1M requests vs control
Median latency
1.8s→1.8s0%
p50 response time
Quality score
94.2→94.2≈ same
LLM-as-judge eval
Smart routing

You're overpaying for
every request.

70% of your traffic doesn't need your most expensive model. Simple lookups, translations, formatting — you're burning money sending those to GPT-4o. The Architect figures out what goes where.

ARCHITECTSmart routing active
0 routed
THE ARCHITECTSmart routing agentAnalyze. Classify. Route.GPT-4o$2.50/1MClaude Sonnet$3.00/1MGemini Flash$0.075/1MLlama 3.1 8B$0.10/1M
Cost saved
$0
vs all GPT-4o
Avg latency
--
p50 response
Smart routed
0%
To cheaper models
Routing decisions live
Zero config required
Automatic fallbacks
Custom weight tuning
Per-request analytics
Agent observability

Your agent made 12 calls and spent $3.
Do you know why?

Layer records every step, every tool call, every dollar. See where the money goes, spot the loops, and get recommendations to cut cost without losing quality.

SESSIONTrace view
User messagerefund-agentclaude-sonnet-4lookup_ordercheck_policyprocess_refunddata-extractgpt-4o-minicomposegemini-flashResponse sent
Cost
$0.000
Time
0.0s
Steps
0/12
Session tracerefund agent · session_8f2a
Intelligence insight
Steps 4-6 extraction loop: switch data-extract to Claude Haiku for 62% savings, same quality.
Full session traces
Tool call visibility
AI-powered insights
Cost per step
Sub-gate routing
Integration

You don't rewrite
your code.

Change one line. Your existing Anthropic or OpenAI SDK works as-is. Switch models from the dashboard.

Works withAnthropic SDKOpenAI SDKLangChaincURL
1
Create a gate
Define routing rules, select models, configure fallbacks.
2
Swap your base URL
One line change. Your existing SDK code works as-is.
3
Switch anytime
Change providers, run experiments, enable smart routing. All from the dashboard.
// Works with OpenAI, Anthropic, Google, and more
const response = await layer.chat({
  gateId: "gate_abc123",
  messages: [{
    role: "user",
    content: "Help me with my order"
  }]
});

// Or keep your existing Anthropic SDK
const client = new Anthropic({
  baseURL: "https://api.uselayer.ai/v1",
  apiKey: process.env.LAYER_API_KEY
});

Your data doesn't leave the building.

Security that's built in, not bolted on.

PII redaction
Emails, SSNs, credit cards, phone numbers automatically scrubbed from stored data.
Zero data retention
Enterprise tier processes requests then permanently discards content. Only metadata retained.
Encrypted in transit
TLS 1.2+ on every connection. Your requests never travel unprotected.
Session spending limits
Soft and hard cost caps per session. Runaway agents get stopped automatically.

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Works with any provider