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Creates a code completion using the Codestral model from Mistral.

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Before You Start

  • API key: Create a personal API key or ask your workspace admin for a workspace API key with the Completion API scope.
  • Model availability: There are currently no Mistral models available for the API. Check back later for updates.

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Base URL

Dedicated deploymentsReplace api.langdock.com with <your-deployment-url>/api/public in all requests.

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Parameters

All parameters from the Mistral fill-in-the-middle Completion endpoint are supported according to the Mistral specifications.

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Rate limits

The default limits are 500 RPM (requests per minute) and 150,000 TPM (tokens per minute).
  • RPM is enforced per workspace, model, and API key.
  • TPM is shared by all API keys using the same model in a workspace.
  • On Langdock Cloud, admins can set TPM for custom models in Settings > Workspace > Products > API; it caps the estimated size of a single request.
  • On dedicated deployments, admins can configure custom limits per model in Settings > Workspace > Products > API.
If you exceed your rate limit, you will receive a 429 Too Many Requests response.

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Using the Continue AI Code Agent

Using the Codestral model, combined with chat completion models from the Langdock API, makes it possible to use the open-source AI code agent Continue (continue.dev) fully via the Langdock API. Continue is available as a VS Code extension and as a JetBrains extension. To customize the models used by Continue, edit the configuration file at ~/.continue/config.yaml (MacOS / Linux) or %USERPROFILE%\.continue\config.yaml (Windows). The older config.json format is deprecated. Below is an example setup for using Continue with the Codestral model for autocomplete and Claude Sonnet 4.6 and GPT-5.2 models for chats and edits, all served from the Langdock API.
Langdock intentionally blocks browser-origin requests to protect your API key and ensure your applications remain secure. For more information, please see our guide on API Key Best Practices.