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How to reject an unfeasible travel itinerary before presenting it with Resimind

Run the offline planning demo to see time, budget, and route constraints reject a bad plan.

Who it is forA product developer building a day-trip or itinerary feature who needs an agent's plan checked against hard constraints.

The problemA model may propose a plan that looks reasonable but breaks time, budget, or route limits.

The outcomeAn understanding of how open-ended plans are checked against constraints, with rejected candidates and a checked revision.

What you need first

  • Python 3.10+ for the core; Python 3.11+ for the optional MCP tools
  • git and a shell (Bash, Zsh, or Windows PowerShell)
  • No API key needed for the offline demos
  • Optional: an installed Lean 4.29.0 toolchain for the Lean example

Steps

  1. git clone https://github.com/1105216375-alt/resimind.git
  2. cd resimind
  3. python -m venv .venv
  4. source .venv/bin/activate
  5. python -m pip install .
  6. python -m resimind demo --domain planning

Prompt for your agent

Using the ResiMind repo at <repo path>, run the open-planning demo and report which candidate itineraries are rejected and why. Expected output: rejected plans with the failed time, budget, or route constraint named. Verify that accepted plans satisfy every supplied hard constraint.

Caveat. The planning fixtures use synthetic venue and transport data, so feasibility results apply only to those inputs.

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