Optional
fields: Partial<MinimaxChatInput> & BaseLanguageModelParams & { The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.
Whether to print out response text.
Optional
baseOptional
beamOptional
botOptional
cacheOptional
callbacksOptional
continueOptional
defaultOptional
defaultOptional
headersOptional
maskOptional
metadataOptional
minimaxOptional
minimaxOptional
prefixOptional
proOptional
promptOptional
replyOptional
roleOptional
skipOptional
tagsOptional
temperatureOptional
tokensOptional
topPOptional
useProtected
lc_Keys that the language model accepts as call options.
Default implementation of batch, which calls invoke N times. Subclasses should override this method if they can batch more efficiently.
Array of inputs to each batch call.
Optional
options: Partial<ChatMinimaxCallOptions> | Partial<ChatMinimaxCallOptions>[]Either a single call options object to apply to each batch call or an array for each call.
Optional
batchOptions: RunnableBatchOptions & { An array of RunOutputs, or mixed RunOutputs and errors if batchOptions.returnExceptions is set
Optional
options: Partial<ChatMinimaxCallOptions> | Partial<ChatMinimaxCallOptions>[]Optional
batchOptions: RunnableBatchOptions & { Optional
options: Partial<ChatMinimaxCallOptions> | Partial<ChatMinimaxCallOptions>[]Optional
batchOptions: RunnableBatchOptionsBind arguments to a Runnable, returning a new Runnable.
A new RunnableBinding that, when invoked, will apply the bound args.
Makes a single call to the chat model.
An array of BaseMessage instances.
Optional
options: string[] | ChatMinimaxCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to a BaseMessage.
Makes a single call to the chat model with a prompt value.
The value of the prompt.
Optional
options: string[] | ChatMinimaxCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to a BaseMessage.
Optional
options: Omit<ChatMinimaxCallOptions, never>Optional
options: Omit<ChatMinimaxCallOptions, never>Generates chat based on the input messages.
An array of arrays of BaseMessage instances.
Optional
options: string[] | ChatMinimaxCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to an LLMResult.
Generates a prompt based on the input prompt values.
An array of BasePromptValue instances.
Optional
options: string[] | ChatMinimaxCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to an LLMResult.
Get the identifying parameters for the model
Optional
beam_Optional
bot_Optional
functions?: Function[]A list of functions the model may generate JSON inputs for.
Optional
mask_Optional
plugins?: string[]Optional
prompt?: stringOptional
reply_Optional
role_Optional
sample_Optional
skip_Optional
stream?: booleanOptional
temperature?: numberOptional
tokens_Optional
top_Optional
use_Get the parameters used to invoke the model
Optional
options: Omit<ChatMinimaxCallOptions, never>Invokes the chat model with a single input.
The input for the language model.
Optional
options: ChatMinimaxCallOptionsThe call options.
A Promise that resolves to a BaseMessageChunk.
Return a new Runnable that maps a list of inputs to a list of outputs, by calling invoke() with each input.
Convert a list of messages to the format expected by the model.
Optional
messages: BaseMessage[]Optional
options: Omit<ChatMinimaxCallOptions, never>Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.
A runnable, function, or object whose values are functions or runnables.
A new runnable sequence.
Predicts the next message based on a text input.
The text input.
Optional
options: string[] | ChatMinimaxCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to a string.
Predicts the next message based on the input messages.
An array of BaseMessage instances.
Optional
options: string[] | ChatMinimaxCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to a BaseMessage.
Return a json-like object representing this LLM.
Stream output in chunks.
Optional
options: Partial<ChatMinimaxCallOptions>A readable stream that is also an iterable.
Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.
Optional
options: Partial<ChatMinimaxCallOptions>Optional
streamOptions: Omit<LogStreamCallbackHandlerInput, "autoClose">Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.
Bind config to a Runnable, returning a new Runnable.
New configuration parameters to attach to the new runnable.
A new RunnableBinding with a config matching what's passed.
Create a new runnable from the current one that will try invoking other passed fallback runnables if the initial invocation fails.
Other runnables to call if the runnable errors.
A new RunnableWithFallbacks.
Add retry logic to an existing runnable.
Optional
fields: { Optional
onOptional
stopA new RunnableRetry that, when invoked, will retry according to the parameters.
Static
deserializeLoad an LLM from a json-like object describing it.
Static
isProtected
_callOptional
options: Partial<ChatMinimaxCallOptions> & { Protected
_getProtected
_getCreate a unique cache key for a specific call to a specific language model.
Call options for the model
A unique cache key.
Protected
_separateOptional
options: Partial<ChatMinimaxCallOptions>Protected
_transformHelper method to transform an Iterator of Input values into an Iterator of
Output values, with callbacks.
Use this to implement stream()
or transform()
in Runnable subclasses.
Optional
runManager: CallbackManagerForChainRunOptional
options: Partial<ChatMinimaxCallOptions>Optional
options: ChatMinimaxCallOptions & { Static
Protected
_convertGenerated using TypeDoc
Wrapper around Minimax large language models that use the Chat endpoint.
To use you should have the
MINIMAX_GROUP_ID
andMINIMAX_API_KEY
environment variable set.