Ollama Consult

You can consult a local LLM for brainstorming and validating design decisions by running Ollama and invoking the consult_local_llm command to get rapid feedback on your architectural patterns. This reduces reliance on external APIs for lightweight reasoning tasks.

The best way to compare implementation options using a local LLM is to use a consultation Skill that evaluates different implementation strategies. You can ask your local LLM to list the pros and cons of each approach based on your project's specific constraints.

Yes, you need Ollama running and a model configured in your local settings to use a local LLM for consultation. This environment setup allows you to offload lightweight reasoning tasks privately without relying on external API services.

Yes, you can reduce API usage by offloading lightweight reasoning tasks to Ollama. By consulting a private local LLM for rapid feedback on plans, you preserve external API resources for heavier processing and get a second opinion before committing resources.

You should not use a local LLM for technical approach evaluation when your task requires reasoning beyond your local model's capabilities. Local consultation is designed for lightweight tasks like generating alternative perspectives rather than complex execution.