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Hermes Agent Provider Routing Across Multiple Models
Provider routing lets one Hermes Agent deployment send different work to different model providers. You define which provider handles which task, keep credentials for each one, and verify the route actually taken. The goal is not to use every model, but to send cheap work to cheap models and hard work to capable ones.
- 01
Inventory the work the agent actually does
Separate short classification and formatting tasks from long reasoning tasks. Routing only pays off when the task types are genuinely different.
- 02
Add credentials for each provider
Store one credential per provider in the deployment configuration, and confirm each key works on its own before combining them.
- 03
Write routing rules per task type
Map the cheap, high-volume tasks to a fast model and the low-volume reasoning tasks to a stronger one. Keep the number of rules small.
- 04
Deploy and record the expected route
Write down which provider should serve each task before you deploy, so verification has something concrete to compare against.
- 05
Verify every route with a real request
Send one request per task type and confirm the provider that answered. A rule that silently never matches is the most common defect.
- 06
Add one route at a time afterwards
Expand the rule set gradually. Changing several routes at once makes it impossible to attribute a behaviour change.
Four-step path
How do you set up provider routing?
Five checkpoints: inventory the work, list the providers, write the rules, deploy, then verify each route with a real request.
- Step 01
Inventory the work the agent actually does
Separate short classification and formatting tasks from long reasoning tasks. Routing only pays off when the task types are genuinely different.
- Step 02
Add credentials for each provider
Store one credential per provider in the deployment configuration, and confirm each key works on its own before combining them.
- Step 03
Write routing rules per task type
Map the cheap, high-volume tasks to a fast model and the low-volume reasoning tasks to a stronger one. Keep the number of rules small.
- Step 04
Deploy and record the expected route
Write down which provider should serve each task before you deploy, so verification has something concrete to compare against.
- Step 05
Verify every route with a real request
Send one request per task type and confirm the provider that answered. A rule that silently never matches is the most common defect.
- Step 06
Add one route at a time afterwards
Expand the rule set gradually. Changing several routes at once makes it impossible to attribute a behaviour change.
Why route between providers at all?
Different tasks have different economics. Classification and rewriting are cheap and frequent, while multi-step reasoning is expensive and rare. Routing lets each task use the cheapest model that is good enough.
- Cut spend on high-volume, low-difficulty tasks.
- Keep quality on the tasks that users actually judge.
- Reduce exposure to a single provider's outage or rate limit.
- Make cost per workflow visible instead of averaged away.
What makes a good routing rule?
A good rule is based on something the agent knows at request time, such as the task type, the channel, or the required capability. Rules based on intent guesses tend to misfire.
- Match on an explicit signal, not an inferred mood.
- Keep a default route so unmatched requests still work.
- Document the rule in plain language next to the configuration.
- Delete rules that never match in practice.
How should provider credentials be managed?
Treat each provider key as an independent secret with its own rotation schedule. One leaked key should never expose the others, so never store them as a combined blob.
If several people manage the deployment, record which key belongs to which provider and who can rotate it. That record is what makes an incident quick instead of confusing.
How do you know which provider actually answered?
Check the runtime logs or the per-request metadata for the provider name, then compare it against the route you expected. Visible confirmation is the only reliable test.
- Send one request per task type immediately after deploying.
- Compare the observed provider against the documented expectation.
- Test the default route with a request no rule matches.
- Re-verify after every credential or rule change.
What goes wrong most often with routing?
Rules that never match, credentials that were added but never used, and cost savings that are assumed rather than measured are the three recurring mistakes.
Measure before and after. Routing that is not measured tends to add configuration without changing the bill, because the expensive task is still the one driving cost.
Which primary sources support this page?
Product behavior is checked against the current deployment flow. These external links provide the upstream project or channel documentation used for setup details.
Direct answers
Frequently asked questions
Do I need multiple providers for routing to be useful?
You need at least two options to route between. They can be two models from the same provider if the pricing or capability differs enough.
Does routing require changing my workflow?
No. Routing happens inside the deployment. Users keep talking to the same channel and the same assistant.
What happens if a routed provider is unavailable?
Add a fallback route so the request can be served by another configured provider instead of failing.
How do I confirm routing saved money?
Compare spend per task type before and after the change. Without that comparison, routing is a hypothesis rather than a result.
Key takeaways
- Provider routing lets one Hermes Agent deployment send different work to different model providers. You define which provider handles which task, keep credentials for each one, and verify the route actually taken. The goal is not to use every model, but to send cheap work to cheap models and hard work to capable ones.
- Start with one model, one channel, and one controlled test conversation.
- Use managed hosting when deployment speed matters more than operating the server yourself.
Continue the setup
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