Lesson 573 of 2116
Provider Routing: Switch Models Without Rewriting the App
Build a small model router that can send easy, private, or expensive tasks to the right model family.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1What the local Hermes build teaches
- 2provider router
- 3model-agnostic app
- 4fallback
Concept cluster
Terms to connect while reading
Section 1
What the local Hermes build teaches
This build lab focuses on the provider router that lets Hermes-style systems choose models by job instead of by brand loyalty. The goal is not to copy a private machine setup. The goal is to learn the architecture pattern well enough to build a small, classroom-safe version.
The app calls one router interface; the router decides whether to use local Hermes, a hosted open model, or a frontier API based on privacy, difficulty, latency, and budget.
Compare the options
| Hermes pattern | Student build | Risk to handle |
|---|---|---|
| Name the boundary | a routing table with task labels, preferred providers, fallback providers, and escalation rules | hard-coding one model everywhere and discovering too late that privacy, cost, or quality needs changed |
| Keep the interface small | Start with one happy path and one failure path | Avoid a demo that only works when everything is perfect |
| Make the system observable | Log decisions, status, and errors in plain language | Do not log private data or secrets |
Build the small version
- 1Draw or write a routing table with task labels, preferred providers, fallback providers, and escalation rules.
- 2Mark which parts are user-facing, which parts are internal, and which parts require approval.
- 3Choose one low-risk workflow and implement only that workflow first.
- 4Add one failure case before adding a second feature.
- 5Write a short operator note: what the agent may do, what it must ask about, and what it must never do.
A classroom-safe skeleton inspired by the local Hermes architecture scan.
route(request):
if request.contains_private_data:
return local_hermes
if request.needs_long_reasoning:
return frontier_reasoning_model
if request.is_batch_or_low_stakes:
return cheap_open_model
return default_chat_modelKey terms in this lesson
The big idea: router is not decoration. It is part of the product architecture students need before an agent becomes safe enough to use with real people.
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “Provider Routing: Switch Models Without Rewriting the App”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 10 min
Agent Fallback Strategies: Graceful Degradation
Agents that can't complete should degrade gracefully, not fail loudly. Fallback strategies matter for user experience.
Creators · 40 min
Setting Context-Window Budget Policies for Long-Running Agents
How to keep an agent's context window from filling with noise mid-run.
Creators · 11 min
Agentic AI: loop budgets that prevent runaway agents
Cap the agent on steps, tokens, dollars, and wall-clock. Without budgets, a confused agent burns money until it hits a quota you didn't set.
