Class OpenAIAgent

Class representing an agent for the OpenAI chat model in LangChain. It extends the Agent class and provides additional functionality specific to the OpenAIAgent type.

⚠️ Deprecated ⚠️

Use the createOpenAIFunctionsAgent method instead.

This feature is deprecated and will be removed in the future.

It is not recommended for use.

Hierarchy (view full)

Agent
- OpenAIAgent

Index

Constructors

constructor

new OpenAIAgent(input): OpenAIAgent
Parameters
- input: Omit<OpenAIAgentInput, "outputParser">
Returns OpenAIAgent
Overrides Agent.constructor
- Defined in langchain/src/agents/openai_functions/index.ts:128

Properties

ToolType

ToolType: StructuredToolInterface

llmChain

llmChain: LLMChain<string, any>

outputParser

outputParser: OpenAIFunctionsAgentOutputParser = ...

tools

tools: StructuredToolInterface[]

Accessors

allowedTools

get allowedTools(): undefined | string[]
Returns undefined | string[]
Inherited from Agent.allowedTools
- Defined in langchain/src/agents/agent.ts:491

inputKeys

get inputKeys(): string[]
Returns string[]
Inherited from Agent.inputKeys
- Defined in langchain/src/agents/agent.ts:495

returnValues

get returnValues(): string[]
Returns string[]
Inherited from Agent.returnValues
- Defined in langchain/src/agents/agent.ts:57

Methods

constructScratchPad

constructScratchPad(steps): Promise<string | BaseMessage[]>
Constructs a scratch pad from a list of agent steps.
Parameters
- steps: AgentStep[]
  The steps to include in the scratch pad.
Returns Promise<string | BaseMessage[]>
A string or a list of BaseMessages representing the constructed scratch pad.
Overrides Agent.constructScratchPad
- Defined in langchain/src/agents/openai_functions/index.ts:187

finishToolName

finishToolName(): string
Name of tool to use to terminate the chain.

Returns string
Inherited from Agent.finishToolName
- Defined in langchain/src/agents/agent.ts:569

llmPrefix

llmPrefix(): string
Prefix to append the LLM call with.

Returns string
Overrides Agent.llmPrefix
- Defined in langchain/src/agents/openai_functions/index.ts:115

observationPrefix

observationPrefix(): string
Prefix to append the observation with.

Returns string
Overrides Agent.observationPrefix
- Defined in langchain/src/agents/openai_functions/index.ts:111

plan

plan(steps, inputs, callbackManager?): Promise<any>
Plans the next action or finish state of the agent based on the provided steps, inputs, and optional callback manager.
Parameters
- steps: AgentStep[]
  The steps to consider in planning.
- inputs: ChainValues
  The inputs to consider in planning.
- Optional callbackManager: any
  Optional CallbackManager to use in planning.
Returns Promise<any>
A Promise that resolves to an AgentAction or AgentFinish object representing the planned action or finish state.
Overrides Agent.plan
- Defined in langchain/src/agents/openai_functions/index.ts:201

prepareForOutput

prepareForOutput(_returnValues, _steps): Promise<AgentFinish>
Prepare the agent for output, if needed
Parameters
- _returnValues: AgentFinish
- _steps: AgentStep[]
Returns Promise<AgentFinish>
Inherited from Agent.prepareForOutput
- Defined in langchain/src/agents/agent.ts:99

returnStoppedResponse

returnStoppedResponse(earlyStoppingMethod, steps, inputs, callbackManager?): Promise<AgentFinish>
Return response when agent has been stopped due to max iterations
Parameters
- earlyStoppingMethod: StoppingMethod
- steps: AgentStep[]
- inputs: ChainValues
- Optional callbackManager: any
Returns Promise<AgentFinish>
Inherited from Agent.returnStoppedResponse
- Defined in langchain/src/agents/agent.ts:634

`Static` createPrompt

createPrompt(_tools, fields?): BasePromptTemplate
Creates a prompt for the OpenAIAgent using the provided tools and fields.
Parameters
- _tools: StructuredToolInterface[]
  The tools to be used in the prompt.
- Optional fields: OpenAIAgentCreatePromptArgs
  Optional fields for creating the prompt.
Returns BasePromptTemplate
A BasePromptTemplate object representing the created prompt.
Overrides Agent.createPrompt
- Defined in langchain/src/agents/openai_functions/index.ts:140

`Static` deserialize

deserialize(data): Promise<Agent>
Load an agent from a json-like object describing it.
Parameters
- data: SerializedZeroShotAgent & {
  llm?: any;
  tools?: ToolInterface[];
  }
Returns Promise<Agent>
Inherited from Agent.deserialize
- Defined in langchain/src/agents/agent.ts:676

`Static` fromLLMAndTools

fromLLMAndTools(llm, tools, args?): OpenAIAgent
Creates an OpenAIAgent from a BaseLanguageModel and a list of tools.
Parameters
- llm: BaseLanguageModelInterface
  The BaseLanguageModel to use.
- tools: StructuredToolInterface[]
  The tools to be used by the agent.
- Optional args: OpenAIAgentCreatePromptArgs & Pick<AgentArgs, "callbacks">
  Optional arguments for creating the agent.
Returns OpenAIAgent
An instance of OpenAIAgent.
Overrides Agent.fromLLMAndTools
- Defined in langchain/src/agents/openai_functions/index.ts:160

`Static` getDefaultOutputParser

getDefaultOutputParser(_fields?): AgentActionOutputParser
Get the default output parser for this agent.
Parameters
- Optional _fields: OutputParserArgs
Returns AgentActionOutputParser
Inherited from Agent.getDefaultOutputParser
- Defined in langchain/src/agents/agent.ts:525

`Static` validateTools

validateTools(_tools): void
Validate that appropriate tools are passed in
Parameters
- _tools: StructuredToolInterface[]
Returns void
Inherited from Agent.validateTools
- Defined in langchain/src/agents/agent.ts:560

Class OpenAIAgent

⚠️ Deprecated ⚠️

Hierarchy (view full)

Index

Constructors

Properties

Accessors

Methods

Constructors

constructor

Parameters

input: Omit<OpenAIAgentInput, "outputParser">

Returns OpenAIAgent

Properties

ToolType

llmChain

outputParser

tools

Accessors

allowedTools

Returns undefined | string[]

inputKeys

Returns string[]

returnValues

Returns string[]

Methods

constructScratchPad

Parameters

steps: AgentStep[]

Returns Promise<string | BaseMessage[]>

finishToolName

Returns string

llmPrefix

Returns string

observationPrefix

Returns string

plan

Parameters

steps: AgentStep[]

inputs: ChainValues

Optional callbackManager: any

Returns Promise<any>

prepareForOutput

Parameters

_returnValues: AgentFinish

_steps: AgentStep[]

Returns Promise<AgentFinish>

returnStoppedResponse

Parameters

earlyStoppingMethod: StoppingMethod

steps: AgentStep[]

inputs: ChainValues

Optional callbackManager: any

Returns Promise<AgentFinish>

Static createPrompt

Parameters

_tools: StructuredToolInterface[]

Optional fields: OpenAIAgentCreatePromptArgs

Returns BasePromptTemplate

Static deserialize

Parameters

data: SerializedZeroShotAgent & { llm?: any; tools?: ToolInterface[]; }

Returns Promise<Agent>

Static fromLLMAndTools

Parameters

llm: BaseLanguageModelInterface

tools: StructuredToolInterface[]

Optional args: OpenAIAgentCreatePromptArgs & Pick<AgentArgs, "callbacks">

Returns OpenAIAgent

Static getDefaultOutputParser

Parameters

Optional _fields: OutputParserArgs

Returns AgentActionOutputParser

Static validateTools

Parameters

_tools: StructuredToolInterface[]

Returns void

Settings

Member Visibility

Theme

`Optional` callbackManager: any

`Optional` callbackManager: any

`Static` createPrompt

`Optional` fields: OpenAIAgentCreatePromptArgs

`Static` deserialize

data: SerializedZeroShotAgent & {
llm?: any;
tools?: ToolInterface[];
}

`Static` fromLLMAndTools

`Optional` args: OpenAIAgentCreatePromptArgs & Pick<AgentArgs, "callbacks">

`Static` getDefaultOutputParser

`Optional` _fields: OutputParserArgs

`Static` validateTools