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How to use Smol day to day with line editing and history with Smol

Wrap Smol in rlwrap for arrow key editing and a saved prompt history, and run it in a sandboxed environment that has access to your endpoint.

Short answer: Install rlwrap with your package manager; then set up a container or VM where the agent may run any command; put a small proxy in front that holds your API key, since Smol adds no credentials. All steps.

Who it is forA developer who likes minimal tools and wants to use Smol as a small daily terminal agent.

The problemThe bare prompt has no line editing or history, and running model-chosen shell commands on your main machine is risky.

The outcomeA comfortable Smol session with persistent history in ~/.smol_history, running somewhere where arbitrary commands are acceptable.

What you need first

  • Python 3 or Go
  • An OpenAI Responses API compatible endpoint, such as a local proxy that adds your key

Steps

  1. Install rlwrap with your package manager
  2. Set up a container or VM where the agent may run any command
  3. Put a small proxy in front that holds your API key, since Smol adds no credentials
  4. Run rlwrap -H ~/.smol_history python3 smol.py http://127.0.0.1:8787/v1/responses
  5. Or with Go: rlwrap -H ~/.smol_history go run golf/smol.go http://127.0.0.1:8787/v1/responses
  6. Exit with empty input or ctrl+d

Prompt for your agent

Write me a minimal standard-library-only proxy that keeps my API key outside smol and forwards requests to <provider> on 127.0.0.1:8787, then a docker run command that starts smol with rlwrap history inside a throwaway container.

Caveat. Run it only where arbitrary shell commands are acceptable.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for smol-env/smol and "Use Smol day to day with line editing and history"

Add Deduped to Claude Code once

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

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