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@@@ -249,7 +249,12 @@ Every link points to the markdown version of a page (same URL with a `.md` exten

- [API Error Codes](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/error_codes.md): When a request to the Workflows API fails, the response includes a structured error code in WF_XXXX format:

- [Execution Context](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/execution_context.md): Access runtime information about the current workflow execution from within workflow code.

- [Hardened deployments](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/hardened_deployments.md): A hardened deployment is a deployment that restricts workflow registration to authorized users and service accounts.

- [Getting started with managed deployments](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments/getting-started.md): Scaffold the Workflows starter app, push it to GitHub, and let Mistral Cloud build and run the worker for you.

- [How it works](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments/how-it-works.md): What Mistral Cloud does to your worker container: service account, Dockerfile entrypoint, and injected environment variables.

- [Managed deployments](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments.md): Deploy a workflow worker from a GitHub repository.

- [Quotas](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments/quotas.md): Concurrent managed deployment caps per plan, and instance sizing.

- [Secrets](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments/secrets.md): Bind workspace secrets to a managed deployment, available at build and at runtime.

- [Troubleshooting](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments/troubleshooting.md): Common managed deployment failures, and how to reproduce a build locally.

- [Rate Limiting](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/rate_limiting.md): Rate limiting is a crucial aspect of workflow management that helps control resource consumption and prevent any single workflow or activity from monopolizing shared resources.

- [Resetting Workflows](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/reset_workflow.md): Reset a workflow execution to restart it from a specific point in its event history.

- [Observability](https://docs.mistral.ai/studio/workflows/observability.md): This guide covers how worker telemetry (logs, traces, and metrics) is exported, and how to use OpenTelemetry traces for execution-level diagnostics.