Optional
fields: MistralAIInputThe API key to use.
Batch size to use when passing multiple documents to generate
Optional
beforeA list of custom hooks that must follow (req: Request) => Awaitable<Request | void> They are automatically added when a ChatMistralAI instance is created
Optional
httpOptional custom HTTP client to manage API requests Allows users to add custom fetch implementations, hooks, as well as error and response processing.
Optional
maxOptional
maxOptional
maxThe maximum number of tokens to generate in the completion. The token count of your prompt plus maxTokens cannot exceed the model's context length.
The name of the model to use.
Optional
randomThe seed to use for random sampling. If set, different calls will generate deterministic results.
Alias for seed
Optional
requestA list of custom hooks that must follow (err: unknown, req: Request) => Awaitable
Optional
responseA list of custom hooks that must follow (res: Response, req: Request) => Awaitable
Optional
serverOverride the default server URL used by the Mistral SDK.
Whether or not to stream the response.
What 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.
Optional
topNucleus 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.
For some given input string and options, return a string output.
Despite the fact that invoke
is overridden below, we still need this
in order to handle public APi calls to generate()
.
Optional
runManager: anyStatic
lc_
MistralAI completions LLM.