OptionalapiOptionalbatchBatch size to use when passing multiple documents to generate
OptionalbeforeA list of custom hooks that must follow (req: Request) => Awaitable<Request | void> They are automatically added when a ChatMistralAI instance is created
OptionalendpointOverride the default server URL used by the Mistral SDK.
OptionalhttpOptional custom HTTP client to manage API requests Allows users to add custom fetch implementations, hooks, as well as error and response processing.
OptionalmaxThe maximum number of tokens to generate in the completion. The token count of your prompt plus maxTokens cannot exceed the model's context length.
OptionalmodelThe name of the model to use.
OptionalrandomThe seed to use for random sampling. If set, different calls will generate deterministic results.
Alias for seed
OptionalrequestA list of custom hooks that must follow (err: unknown, req: Request) => Awaitable
OptionalresponseA list of custom hooks that must follow (res: Response, req: Request) => Awaitable
OptionalserverOverride the default server URL used by the Mistral SDK.
OptionalstreamingWhether or not to stream the response.
OptionaltemperatureWhat sampling temperature to use, between 0.0 and 2.0. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
OptionaltopNucleus sampling, where the model considers the results of the tokens with topP probability mass.
So 0.1 means only the tokens comprising the top 10% probability mass are considered.
Should be between 0 and 1.
OptionaluseWhether to use the Fill-In-Middle (FIM) API for code completion.
When true, uses client.fim.complete() / client.fim.stream().
When false, uses client.chat.complete() / client.chat.stream() with the prompt wrapped as a user message.
FIM is only supported for code models like codestral-latest.
For general-purpose models like mistral-large-latest, set this to false.
The API key to use.