Model Routing

Model routing (or LLM model routing) is the practice of automatically sending each request to the most suitable large language model instead of always calling one fixed default. A routing layer sits between your application and your models, inspects the incoming prompt, and decides which model should handle it based on task complexity, cost, latency, and quality requirements.

How it works

The router acts as a classification layer in front of your model providers. Before each call, it scores the prompt — often by predicted difficulty or task type — and maps that score to a model tier. Simple, high-volume work (formatting, short summaries, classification) goes to a fast, low-cost model; harder reasoning, drafting, or analysis goes to a more capable, more expensive one. Common techniques include lightweight classifiers, similarity-weighted ranking, and learned scoring functions. Routers can also fall back to a second model if the first is unavailable or returns a low-confidence answer.

How it applies in Salesforce and a GPTfy BYOM context

Because GPTfy is a Bring Your Own Model (BYOM) layer running inside Salesforce, model routing is a natural fit: admins configure which model serves which AI prompt, on standard records, with PII masking applied before anything leaves the org.

Concrete example: A service team runs two AI prompts on Cases. Routine "summarize this Case" requests go to a cheaper, faster model, while "draft an escalation analysis from related Cases and Opportunities" is routed to a stronger reasoning model. The result is lower spend on bulk work without sacrificing quality on the high-stakes drafts — all grounded on Salesforce data, no Data Cloud required.

FAQ

What is LLM model routing? It is directing each AI request to the best-fit model based on complexity, cost, latency, and quality, rather than sending everything to one default model.

Does model routing reduce AI costs? Yes. Sending simple, high-volume requests to cheaper models and reserving premium models for complex tasks typically cuts spend while preserving output quality.

Can I route to different LLMs inside Salesforce? With a BYOM platform like GPTfy, yes — you choose which model (Claude, GPT, Gemini) serves each prompt, with PII masking applied and data staying in your org.