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observed_at2026-10-07T05:59:49.042Z
origin_date2026-10-06T17:38:55.000Z
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final URLhttps://docs.mistral.ai/llms.txt
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last-modifiedTue, 06 Oct 2026 17:38:54 GMT
dateWed, 07 Oct 2026 05:59:49 GMT
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@@@ -248,11 +248,12 @@ Every link points to the markdown version of a page (same URL with a `.md` exten
- [Deployments](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/deployments.md): A deployment is a named group of workers that owns a set of workflow definitions and receives all executions for those definitions.
- [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 standard deployment with restricted workflow registration.
+- [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.
- [Managed deployments](https://docs.mistral.ai/studio/workflows/managing-workflows-in-production/managed-deployments.md): Deploy a workflow worker from a GitHub repository.
- [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.
+- [Workflow visualizer](https://docs.mistral.ai/studio/workflows/visualizer.md): The workflow visualizer displays your workflow as a graph in Studio.
## Vibe