Router.com Verified
Key insights
Concrete technical or product signals.
- Router.com is designed for teams that want to change models or providers behind a stable application API.
- Shadow routing can compare candidate models on production-shaped requests while the current model continues serving users.
Use cases
Where this shines in production.
- Routing requests by quality, latency, reliability, and cost
- Testing candidate models with shadow production traffic
- Escalating only difficult agent turns to more capable models
- Tracking model, provider, tier, tokens, latency, cost, and fallback attempts
Limitations & trade-offs
What to watch for.
- Routing quality depends on representative evaluations and workload-specific objectives; generic benchmarks are not sufficient for every application.
- A gateway adds another operational dependency, so teams should test failure behavior, data handling, provider coverage, and migration paths.
- Launch pricing and credits are promotional and should be rechecked before procurement.
Models referenced
Declared model dependencies or integrations.
Multi-provider AI models
Related prompts
Hand-picked or latest prompt templates.
Prompt
Prompt-injection resistant assistant
System prompt that treats retrieved docs, tickets, and web pages as untrusted data. Use in multi-tenant RAG and browsing agents. This is a defensive template, not an attack or bypass playbook.
Prompt
Computer-use agent with approval gates
System prompt for browser/desktop agents (Grok Bot, computer-use tools). Allows research and drafts, but pauses before send, purchase, delete, or production changes. Not a jailbreak or bypass guide.
Prompt
Transcript to summary and action items
Turn a speech transcript into decisions, owners, and follow-ups. Use after Gemini 3.5 Transcribe, Whisper, or MAI-Transcribe. Do not use on raw audio; transcribe first.
Prompt
Product image generation prompt
A reusable image prompt for catalog and hero shots: subject, lighting, lens, negative constraints, and text-in-image rules. Works with Firefly, Midjourney, MAI-Image, Qwen-Image, and SDXL. Not for photorealistic people or brand-logo cloning.
Prompt
LLM output evaluation rubric
Judge a model answer against a task, retrieved evidence, and pass/fail thresholds. Use for golden-set grading and regression evals. Not a substitute for human review on high-risk decisions.
Prompt
Strict JSON extraction prompt
Extract structured fields into JSON that matches a schema. Pair with provider structured-output / JSON-schema modes when available. Do not use when the output is meant to be prose.
Looking for a tighter match? Search the prompt library.
Router.com FAQ
What is Router.com?
Router.com is Ramp's multi-model API for accessing, evaluating, and routing AI workloads without rebuilding an application for each provider. Its launch includes flex-tier routing, shadow-model evaluation, benchmark-based selection, NVIDIA Switchyard escalation, and per-request cost and latency visibility.
When should teams use Router.com?
Routing requests by quality, latency, reliability, and cost
What should teams watch out for with Router.com?
Routing quality depends on representative evaluations and workload-specific objectives; generic benchmarks are not sufficient for every application.
Related
Comparisons, platforms, and models teams often view next.