POST
/
mistral
/
{region}
/
v1
/
fim
/
completions
Fim Completion
curl --request POST \
  --url https://api.langdock.com/mistral/{region}/v1/fim/completions \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "codestral-2405",
  "prompt": "function removeSpecialCharactersWithRegex(str: string) {",
  "max_tokens": 64
}'
{
  "data": "asd",
  "id": "245c52bc936f53ba90327800c73d1c3e",
  "object": "chat.completion",
  "model": "codestral",
  "usage": {
    "prompt_tokens": 16,
    "completion_tokens": 102,
    "total_tokens": 118
  },
  "created": 1732902806,
  "choices": [
    {
      "index": 0,
      "message": {
        "content": "\n  // Use a regular expression to match any non-alphanumeric character and replace it with an empty string\n  return str.replace(/[^a-zA-Z0-9]/g, '');\n}\n\n// Test the function\nconst inputString = \"Hello, World! 123\";\nconst outputString = removeSpecialCharactersWithRegex(inputString);\nconsole.log(outputString); // Output: \"HelloWorld123\"",
        "prefix": false,
        "role": "assistant"
      },
      "finish_reason": "stop"
    }
  ]
}
Creates a code completion using the Codestral model from Mistral. All parameters from the Mistral fill-in-the-middle Completion endpoint are supported according to the Mistral specifications.

​
Rate limits

The rate limit for the FIM Completion endpoint is 500 RPM (requests per minute) and 60.000 TPM (tokens per minute). Rate limits are defined at the workspace level - and not at an API key level. Each model has its own rate limit. If you exceed your rate limit, you will receive a 429 Too Many Requests response. Please note that the rate limits are subject to change, refer to this documentation for the most up-to-date information. In case you need a higher rate limit, please contact us at support@langdock.com.

​
Using the Continue AI Code Assistant

Using the Codestral model, combined with chat completion models from the Langdock API, makes it possible to use the open-source AI code assistant 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, you can edit the configuration file at ~/.continue/config.json (MacOS / Linux) or %USERPROFILE%\.continue\config.json (Windows). Below is an example setup for using Continue with the Codestral model for autocomplete and Claude 3.5 Sonnet and GPT-4o models for chats and edits, all served from the Langdock API. 
{
  "models": [
    {
      "title": "GPT-4o",
      "provider": "openai",
      "model": "gpt-4o",
      "apiKey": "<YOUR_LANGDOCK_API_KEY>",
      "apiBase": "https://api.langdock.com/openai/eu/v1"
    },
    {
      "title": "Claude 3.5 Sonnet",
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20240620",
      "apiKey": "<YOUR_LANGDOCK_API_KEY>",
      "apiBase": "https://api.langdock.com/anthropic/eu/v1"
    }
  ],
  "tabAutocompleteModel": {
    "title": "Codestral",
    "provider": "mistral",
    "model": "codestral-2405",
    "apiKey": "<YOUR_LANGDOCK_API_KEY>",
    "apiBase": "https://api.langdock.com/mistral/eu/v1"
  }
  /* ... other configuration ... */
}

Headers

​
Authorization
string
required

API key as Bearer token. Format "Bearer YOUR_API_KEY"

Path Parameters

​
region
enum<string>
required

The region of the API to use.

Available options:
eu

Body

application/json

Response

200
application/json

Successful Response

The response is of type object.