Class: BaseLLM

llms/base.BaseLLM

LLM Wrapper. Provides an call (an generate) function that takes in a prompt (or prompts) and returns a string.

Hierarchy

• BaseLanguageModel

  ↳ BaseLLM

  ↳↳ LLM

  ↳↳ OpenAI

Constructors

constructor

• new BaseLLM(«destructured»)

Parameters

Name	Type
«destructured»	BaseLLMParams

Overrides

BaseLanguageModel.constructor

Defined in

langchain/src/llms/base.ts:33

Properties

cache

• Optional cache: BaseCache<Generation[]>

Defined in

langchain/src/llms/base.ts:31

---

callbackManager

• callbackManager: CallbackManager

Inherited from

BaseLanguageModel.callbackManager

Defined in

langchain/src/base_language/index.ts:34

---

caller

• Protected caller: AsyncCaller

The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.

Inherited from

BaseLanguageModel.caller

Defined in

langchain/src/base_language/index.ts:40

---

name

• name: string

The name of the LLM class

Defined in

langchain/src/llms/base.ts:29

---

verbose

• verbose: boolean

Whether to print out response text.

Inherited from

BaseLanguageModel.verbose

Defined in

langchain/src/base_language/index.ts:32

Methods

_generate

▸ Abstract _generate(prompts, stop?): Promise<LLMResult>

Run the LLM on the given prompts and input.

Parameters

Name	Type
prompts	string[]
stop?	string[]

Returns

Promise<LLMResult>

Defined in

langchain/src/llms/base.ts:57

---

_identifyingParams

▸ _identifyingParams(): Record<string, any>

Get the identifying parameters of the LLM.

Returns

Record<string, any>

Overrides

BaseLanguageModel._identifyingParams

Defined in

langchain/src/llms/base.ts:140

---

_llmType

▸ Abstract _llmType(): string

Return the string type key uniquely identifying this class of LLM.

Returns

string

Overrides

BaseLanguageModel._llmType

Defined in

langchain/src/llms/base.ts:147

---

_modelType

▸ _modelType(): string

Returns

string

Overrides

BaseLanguageModel._modelType

Defined in

langchain/src/llms/base.ts:160

---

call

▸ call(prompt, stop?): Promise<string>

Convenience wrapper for generate that takes in a single string prompt and returns a single string output.

Parameters

Name	Type
prompt	string
stop?	string[]

Returns

Promise<string>

Defined in

langchain/src/llms/base.ts:131

---

generate

▸ generate(prompts, stop?): Promise<LLMResult>

Run the LLM on the given propmts an input, handling caching.

Parameters

Name	Type
prompts	string[]
stop?	string[]

Returns

Promise<LLMResult>

Defined in

langchain/src/llms/base.ts:84

---

generatePrompt

▸ generatePrompt(promptValues, stop?): Promise<LLMResult>

Parameters

Name	Type
promptValues	BasePromptValue[]
stop?	string[]

Returns

Promise<LLMResult>

Overrides

BaseLanguageModel.generatePrompt

Defined in

langchain/src/llms/base.ts:44

---

getNumTokens

▸ getNumTokens(text): Promise<number>

Parameters

Name	Type
text	string

Returns

Promise<number>

Inherited from

BaseLanguageModel.getNumTokens

Defined in

langchain/src/base_language/index.ts:62

---

serialize

▸ serialize(): SerializedLLM

Return a json-like object representing this LLM.

Returns

SerializedLLM

Overrides

BaseLanguageModel.serialize

Defined in

langchain/src/llms/base.ts:152

---

deserialize

▸ Static deserialize(data): Promise<BaseLLM>

Load an LLM from a json-like object describing it.

Parameters

Name	Type
data	SerializedLLM

Returns

Promise<BaseLLM>

Overrides

BaseLanguageModel.deserialize

Defined in

langchain/src/llms/base.ts:167