openai/codex · error · std::io::Error

features.multi_agent_v2.min_wait_timeout_ms must be at most

Error message

features.multi_agent_v2.min_wait_timeout_ms must be at most features.multi_agent_v2.max_wait_timeout_ms

What it means

After each wait timeout in `[features.multi_agent_v2]` passes its individual bound check, Config enforces ordering: min_wait_timeout_ms must not exceed max_wait_timeout_ms. A minimum larger than the maximum is contradictory, so loading fails with InvalidInput instead of clamping.

Source

Thrown at codex-rs/core/src/config/mod.rs:3728

            return Err(std::io::Error::new(
                std::io::ErrorKind::InvalidInput,
                "features.multi_agent_v2.max_concurrent_threads_per_session must be at least 1",
            ));
        }
        validate_multi_agent_v2_wait_timeout(
            "features.multi_agent_v2.min_wait_timeout_ms",
            multi_agent_v2.min_wait_timeout_ms,
        )?;
        validate_multi_agent_v2_wait_timeout(
            "features.multi_agent_v2.max_wait_timeout_ms",
            multi_agent_v2.max_wait_timeout_ms,
        )?;
        validate_multi_agent_v2_wait_timeout(
            "features.multi_agent_v2.default_wait_timeout_ms",
            multi_agent_v2.default_wait_timeout_ms,
        )?;
        if multi_agent_v2.min_wait_timeout_ms > multi_agent_v2.max_wait_timeout_ms {
            return Err(std::io::Error::new(
                std::io::ErrorKind::InvalidInput,
                "features.multi_agent_v2.min_wait_timeout_ms must be at most features.multi_agent_v2.max_wait_timeout_ms",
            ));
        }
        if multi_agent_v2.default_wait_timeout_ms < multi_agent_v2.min_wait_timeout_ms {
            return Err(std::io::Error::new(
                std::io::ErrorKind::InvalidInput,
                "features.multi_agent_v2.default_wait_timeout_ms must be at least features.multi_agent_v2.min_wait_timeout_ms",
            ));
        }
        if multi_agent_v2.default_wait_timeout_ms > multi_agent_v2.max_wait_timeout_ms {
            return Err(std::io::Error::new(
                std::io::ErrorKind::InvalidInput,
                "features.multi_agent_v2.default_wait_timeout_ms must be at most features.multi_agent_v2.max_wait_timeout_ms",
            ));
        }
        validate_multi_agent_v2_tool_namespace(multi_agent_v2.tool_namespace.as_deref())?;
        let agents_enabled = cfg

View on GitHub (pinned to 339751715c)

Solutions

  1. Raise `max_wait_timeout_ms` to at least `min_wait_timeout_ms` (or lower the min).
  2. Prefer deleting both keys to accept defaults when custom bounds are not required.
  3. Re-check units; all three timeouts are milliseconds.

Example fix

# before
[features.multi_agent_v2]
min_wait_timeout_ms = 60000
max_wait_timeout_ms = 5000

# after
[features.multi_agent_v2]
min_wait_timeout_ms = 5000
max_wait_timeout_ms = 60000
Defensive patterns

Strategy: validation

Validate before calling

import tomllib
ma = tomllib.load(open("config.toml", "rb")).get("features", {}).get("multi_agent_v2", {})
mn, mx = ma.get("min_wait_timeout_ms"), ma.get("max_wait_timeout_ms")
assert mn is None or mx is None or mn <= mx, "min_wait_timeout_ms must be <= max_wait_timeout_ms"

Try / catch

match config_result {
    Err(ref e) if e.kind() == std::io::ErrorKind::InvalidInput
        && e.to_string().contains("min_wait_timeout_ms must be at most") => {
        // fix the ordering, then reload config
    }
    other => other,
}

Prevention

When it happens

Trigger: Any layer combination resolving to min_wait_timeout_ms > max_wait_timeout_ms (e.g. min = 60000, max = 5000). Both values are individually valid; only their order is wrong.

Common situations: Tuning one bound and forgetting its pair; copy-paste between environments with different latency profiles; layered configs where one layer raises the min and another lowers the max.

Understand the failure class

Related errors


AI-assisted analysis of openai/codex@339751715c (2026-08-25). Data as JSON: /api/errors/164a35d80f418bf0. Report an issue: GitHub.