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Ollama serves models on infrastructure you control. Use it for local development, private deployments, or workloads where you want to keep inference inside your own network.

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Configure Ollama

In Settings > Models, add Ollama and provide the endpoint URL. Ollama does not require an API key. You can also set the endpoint as a deployment variable:
Use the Ollama service root, not its /v1 path. The local default is http://127.0.0.1:11434; in a container deployment, use a hostname that Roomote can resolve, such as http://ollama:11434. After saving the provider, Roomote discovers available Ollama models. Enable the models you need and select them using ollama/<model-name>, for example ollama/qwen3-coder.

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Connectivity and security

The Ollama endpoint must be reachable from the Roomote deployment. It does not need to be exposed to every Roomote task sandbox. When Roomote and Ollama run in separate containers, 127.0.0.1 points to the Roomote container, not the Ollama container; use a shared network and service DNS instead. Ollama normally accepts unauthenticated requests. Keep it bound to loopback or a private network, and do not publish it directly to the internet. If traffic must leave a trusted network, place a TLS-terminating, authenticated proxy in front of Ollama and point Roomote at that private or protected endpoint.

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Ollama listen address

Ollama listens only where its OLLAMA_HOST setting permits. To make it reachable by another container on a private network, configure a listen address that accepts the network connection, for example:
Do not use a public bind address without a protected reverse proxy or equivalent network controls. Keep OLLAMA_BASE_URL pointed at the private service URL.

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Cost behavior

Ollama does not charge a per-token provider price for locally served models. Roomote can record model usage, but it cannot infer your hardware, electricity, hosting, or capacity costs. Monitor GPU utilization and infrastructure spend separately when comparing Ollama with hosted providers.

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Verify setup

  1. pull a model with Ollama and confirm it appears in ollama list
  2. save OLLAMA_BASE_URL or the equivalent Settings value
  3. confirm the model appears in Settings > Models
  4. enable it, make it the default coding model, and start a small task

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Common issues

  • The model list is empty. Confirm Ollama is running, the model is pulled, and Roomote can reach the configured endpoint.
  • Connection refused in Docker. Use the Ollama service name instead of 127.0.0.1, and confirm both services share a network.
  • Responses are slow or fail under load. Choose a smaller model, add GPU capacity, or reduce concurrent task demand.