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
cacheOptional
callbacksOptional
embeddingOptional
f16KVOptional
formatOptional
frequencyOptional
logitsOptional
lowOptional
mainOptional
metadataOptional
mirostatOptional
mirostatOptional
mirostatOptional
numOptional
numOptional
numOptional
numOptional
numOptional
numOptional
penalizeOptional
presenceOptional
repeatOptional
repeatOptional
ropeOptional
ropeOptional
stopOptional
tagsOptional
temperatureOptional
tfsZOptional
topKOptional
topPOptional
typicalPOptional
useMLockOptional
useMMapOptional
vocabKeys 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<OllamaCallOptions> | Partial<OllamaCallOptions>[]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<OllamaCallOptions> | Partial<OllamaCallOptions>[]Optional
batchOptions: RunnableBatchOptions & { Optional
options: Partial<OllamaCallOptions> | Partial<OllamaCallOptions>[]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[] | OllamaCallOptionsThe 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[] | OllamaCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to a BaseMessage.
Generates chat based on the input messages.
An array of arrays of BaseMessage instances.
Optional
options: string[] | OllamaCallOptionsThe 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[] | OllamaCallOptionsThe call options or an array of stop sequences.
Optional
callbacks: CallbacksThe callbacks for the language model.
A Promise that resolves to an LLMResult.
A method that returns the parameters for an Ollama API call. It includes model and options parameters.
Optional
options: Omit<OllamaCallOptions, never>Optional parsed call options.
An object containing the parameters for an Ollama API call.
Invokes the chat model with a single input.
The input for the language model.
Optional
options: OllamaCallOptionsThe 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.
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[] | OllamaCallOptionsThe 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[] | OllamaCallOptionsThe 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<OllamaCallOptions>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<OllamaCallOptions>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
isGenerated using TypeDoc
A class that enables calls to the Ollama API to access large language models in a chat-like fashion. It extends the SimpleChatModel class and implements the OllamaInput interface.
Example