Model Provider Fallback Planning for Rocky

Hermes is provider-agnostic, which means Rocky can use different model backends for different jobs. Good provider planning is less about chasing a single best model and more about matching reliability, context length, cost, and tool behavior to the work.

Choose by job type

• Fast triage and summaries need latency and cost control.
• Coding and deployment tasks need strong tool-use reliability.
• Long research tasks need context and citation discipline.
• Creative image/video workflows may need provider-specific tools and quota planning.

Keep configuration out of articles and prompts

• Do not paste API keys into chat.
• Use Hermes configuration and credential management.
• Keep examples generic: provider name, model role, and verification step.
• Point readers to the official provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers

Fallback checklist

• Know the primary provider for the workflow.
• Know whether a fallback is allowed for this media type or task.
• For generated art in Kevin/Rocky workflows, do not silently swap providers when a specific provider such as Banana/Nano Banana was requested.
• Verify quality after a fallback; different models can change tone, safety behavior, and formatting.

Pitfalls

• Treating a fallback as identical output.
• Hiding quota or billing blockers.
• Building an automation that fails if one model name changes.
• Publishing provider-specific promises on a public page without linking current docs.

Verification steps

• Run a small test with the configured provider.
• Confirm tool calls work in the target environment.
• Check logs for authentication or quota failures without printing secrets.
• Document the allowed fallback path for the workflow.