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How to get model recommendations as JSON for scripts with llmfit

Use recommend with --json and a use case to feed other tools.

Who it is forA developer scripting local model setup across machines.

The problemManual model choice does not scale across machines.

The outcomeJSON recommendations filtered by use case.

What you need first

  • macOS, Windows, Linux or Docker

Steps

  1. Install llmfit
  2. Run llmfit recommend --json
  3. Filter by use case, for example coding, in Docker or podman
  4. Parse the model names with jq

Prompt for your agent

Run `llmfit recommend --json` and return the top three model names for coding on this machine.

Caveat. JSON fields can change between versions; pin a version for scripts.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for AlexsJones/llmfit and "Get model recommendations as JSON for scripts"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

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