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Codex stops before a task begins and displays:

failed to load workspace requirements

The wording can suggest an account or organization problem. However, the visible message does not identify the underlying cause by itself.

A useful diagnosis separates startup configuration, filesystem state, account access, and remote service communication. This guide starts with reversible checks and explains when an API provider is relevant.

1. Record the failing surface and version

Before reinstalling anything, note whether the failure appears in the desktop application, CLI, or IDE extension. Record the operating system, application version, and the last change made before the error appeared.

For an installed CLI:

codex --version

Also record whether the problem affects one project or every project.

If it only affects one repository, project configuration or directory state deserves attention. If every workspace fails before a model request is sent, investigate initialization and shared configuration first. These are diagnostic clues, not definitive conclusions.

2. Look for the more specific error nearby

Find the relevant application log and inspect entries immediately around the failure. The most useful message may mention:

  • An invalid configuration value.
  • A duplicate TOML key.
  • A path that cannot be resolved.
  • A missing directory.
  • A failed account or organization request.
  • A particular network hostname or HTTP response.

An issue reported in the official Codex repository illustrates why this matters. On an affected Windows build, a configured drive root was converted into an invalid file URL, while the visible startup error concerned sign-in or workspace requirements. That is a documented user report about a specific configuration, not proof that all Windows failures share the same cause. GitHub

Search for the underlying error rather than treating the outer message as the full diagnosis.

3. Check configuration without deleting your setup

Codex can load user and project configuration, and managed environments can enforce additional requirements. A local configuration change and an administrator-controlled policy are different things. ChatGPT Learn

Back up any file before editing it. Review recent changes, especially copied provider blocks, renamed profiles, and filesystem paths.

For users with Python 3.11 or newer, this read-only command checks the syntax of the default user configuration:

python -c "import pathlib,tomllib; p=pathlib.Path.home()/'.codex'/'config.toml'; tomllib.loads(p.read_text(encoding='utf-8')); print('TOML syntax OK')"

It does not validate Codex-specific settings, project configuration, or organization policies. A successful result means only that the file can be parsed as TOML.

When logs identify a particular invalid entry, repair that entry and retry. Avoid removing the entire configuration directory as your first experiment.

4. Check whether a temporary working directory disappeared

Agent workflows often create temporary directories or Git worktrees. Removing one while a related background process is still using it can create confusing failures.

A reported Codex CLI 0.162.1 issue reproduced this pattern when a shared daemon’s startup directory was deleted. An OpenAI contributor confirmed that specific bug and stated that its affected configuration-loading paths were fixed for the 0.163.0 release line. This historical fix should not be presented as a universal explanation for current failures. GitHub

If your logs indicate a missing directory, save ongoing work, check the installed version, and restart the relevant client or managed service through its documented controls from an existing directory.

Do not terminate unrelated processes or delete additional worktrees to “clean up” an unconfirmed cause.

5. Investigate account and network failures when the logs support them

If the logs identify an authentication, organization-policy, DNS, or service-access failure, follow that evidence.

Verify the intended account and workspace. In a managed environment, ask the administrator to confirm access and applicable requirements. Browser access can provide a useful comparison, but a successful browser session does not prove that every desktop service endpoint is reachable.

Keep the hostname, timestamp, status code, and request identifier when available. Remove tokens and sensitive project content before sharing logs.

Changing API keys repeatedly is unlikely to clarify a failure that occurs before the model provider is contacted.

6. Verify recovery with a small task

After one targeted change, reopen the intended project and run a read-only request:

> Read the README and summarize the project. Do not modify files or install dependencies.

Then test a small task that requires the tool behavior you normally use. Startup success, model response, and successful tool execution are separate checkpoints.

When the workflow uses TreeRouter as a model API gateway, verify its connection after local startup has recovered. Confirm the documented model identifier, endpoint, and protocol before testing the integration. A gateway is not a substitute for repairing an invalid local configuration.

Review access options at TreeRouter, and register for an integration test only after confirming the required client support.

Frequently asked questions

Is this the same as “Unable to determine project root for task”?
Do not assume so. Compare the underlying logs and the stage at which each error appears.

Should I reinstall Codex immediately?
Record the version and error first. Reinstallation may preserve the configuration that caused the failure.

Will adding API credit fix it?
Only a confirmed quota-related error supports that action. The workspace message alone does not.

A useful support report includes the client version, operating system, reproduction steps, sanitized log excerpt, and the changes already tested.