The official repository for the paper Interactive Benchmarks [https://huggingface.co/papers/2603.04737].

• src/situation_puzzle/: Situation-based reasoning.
• src/math/: Interactive math evaluation pipeline: naive solving vs. Interactive-Proof-style solving, with pass@k evaluation as a comparison baseline.
• src/trust_game/: Trust Game tournament (baseline + LLM agents).

• Python 3.10+
• A valid model endpoint is required (most scripts in this repository default to using the OpenRouter OpenAI-compatible API).

Most scripts read the following environment variables (you may define them in a .env file inside each subdirectory, or export them directly):

• OPENROUTER_API_KEY: Required
• OPENROUTER_BASE_URL: Optional (default: https://openrouter.ai/api/v1)

Example:

export OPENROUTER_API_KEY="sk-..."
export OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"

pip install -r requirements.txt

Note: Different tasks require only subsets of dependencies. Please refer to each subdirectory’s README for details.

InteractiveBench/
  README.md
  LICENSE
  src/
    trust_game/
    situation_puzzle/
    math/
    poker/

• Result Outputs: Most scripts write results to a results/ directory (or a specified output path) within their respective folders, and include reproducibility metadata whenever possible (e.g., model name, hyperparameters).
• Resume Support: Most scripts support resume functionality (i.e., skipping completed samples/matches if output files already exist). See each subdirectory’s README for specifics.

• Contribution guidelines are provided in CONTRIBUTING.md (including requirements for adding new benchmark subdirectories, result formats, README standards, etc.).

• License: MIT (see LICENSE)
• If you use this repository’s evaluation pipeline in a paper or report, please cite: repository name + the specific benchmark used + the commit hash (especially if you forked and modified the code).