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The Recursive Loop Machine (RLM) settings control the LLM provider, model, generation parameters, and concurrency behaviour.

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Opening RLM settings

Press ⌘, → Engine tab. If RLM is your active engine (or you want to configure it), its settings appear in the lower panel.

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Provider & Model

The RLM supports four providers: AWS Bedrock (default), Anthropic, OpenAI, and Ollama. Select a provider with the four provider buttons in the Provider & Model section, then enter the Model ID. You can use any model from a supported provider — MIRA shows suggestion chips as a starting point, but the Model ID field accepts any valid model ID your account can access.
The RLM Engine is designed and tested to work reliably with Claude and GPT series models. Other models may produce inconsistent results or fail to follow the reasoning loop correctly.
For Ollama, a Base URL field appears (default: http://localhost:11434). For Bedrock, an AWS Region dropdown appears.

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Generation parameters

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Concurrency & Behaviour

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Runtime

MIRA ships with a bundled Python 3.11 runtime that is used automatically. You only need to change this if you are running a custom Python environment.

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Saving changes

Click Save & restart bridge. The RLM Python bridge restarts automatically with the new settings.
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