Hermes Agent

Choose a custom endpoint

Hermes Agent's official quickstart provides a custom-endpoint option through hermes model. It expects the endpoint, API key and model name to agree, and documents a minimum context requirement for its agent workflow.

Connect model access

1. Create a SeedRouter API key and choose a text model from the model directory.
2. Run hermes model and select the custom endpoint option appropriate to your installed version.
3. Set the OpenAI-compatible base URL to https://api.seedrouter.ai/v1, enter the key through Hermes' credential configuration and use the exact model identifier.
4. Check the model's documented API format and context limit. A model appearing in a catalog does not establish compatibility with every agent feature.

Hermes keeps secrets and ordinary configuration separately. Use its documented credential flow and keep keys out of shared project files.

Give the agent a useful job

Start with a bounded task such as drafting a product description from approved facts or answering a question from a supplied passage. Verify the output before enabling actions in external systems. The ecommerce workflow and knowledge assistant workflow define suitable review criteria.

Test tool argument handling, the ability to stop and behavior when information is missing. If a fixed script already performs the task reliably, compare the agent against that baseline rather than assuming more autonomous steps improve the result.

Record compatibility and cost

Record the installed Hermes version, selected model, successful test task and any unsupported feature. Use actual session usage and current rates to evaluate ongoing cost.

SeedRouter supplies model calls. Hermes and your application own tools, memory, document access and execution permissions. The configuration reference was checked on October 12, 2026; a fresh end-to-end Hermes session has not been measured for this guide.