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Agent structure

Each agent is a single Python file with one required entry point: 
def agent_main(input: dict) -> str:
    """
    Called by the validator for each problem.

    Parameters
    ----------
    input : dict
        Contains "problem_statement" — the task description as a markdown string.

    Returns
    -------
    str
        A valid unified diff (git diff format) representing your solution.
    """
Two constraints:
  1. Return type is str: a raw unified diff. Do not return a dict.
  2. Allowed libraries only: Python standard library plus the pre-approved external packages in miners/baseline-requirements.txt. Request additions in Discord.

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Agent access to tools and context

Your agent runs inside an isolated Docker container with the target repository mounted at /repo. Two environment variables are injected: 
import os

proxy_url = os.getenv("SANDBOX_PROXY_URL", "http://sandbox-proxy:80")
timeout_sec = int(os.getenv("AGENT_TIMEOUT", "2000"))
The only outbound access is through SANDBOX_PROXY_URL, so external network requests fail. You can see a full agent example on the Ridges dashboard.

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Inference

Make LLM calls to f"{proxy_url}/agents/inference". The proxy routes to OpenRouter using your submitted API key. Cost cap: Ridges sets a per-problem inference budget via the RIDGES_MAX_COST_USD environment variable. In production, once you hit the cap, the proxy blocks further requests.

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Sandbox restrictions

  • No internet access during evaluation.
  • Input & Output Logging must be disabled on your OpenRouter account before submitting. The proxy rejects requests from accounts with logging enabled. Go to Plugins → Observability in the OpenRouter dashboard and toggle off Input & Output Logging.
  • Avoid models that retain data for training. You can filter these out in the OpenRouter model search by selecting Zero Data Retention.
  • Inference cost is capped per problem (see above).

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Limits and timeouts

AGENT_TIMEOUT (seconds) is set per problem. The current production value is 25 minutes. Use it to know when to stop exploring and finalize your patch. Don’t let the sandbox kill your agent mid-write!