Class StructuredChatAgent

Agent that interoperates with Structured Tools using React logic.

⚠️ Deprecated ⚠️

Use the createStructuredChatAgent method instead.

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

It is not recommended for use.

Hierarchy (view full)

Agent
- StructuredChatAgent

Index

Constructors

constructor

new StructuredChatAgent(input): StructuredChatAgent
Parameters
- input: StructuredChatAgentInput
Returns StructuredChatAgent
Overrides Agent.constructor
- Defined in langchain/src/agents/structured_chat/index.ts:66

Properties

ToolType

ToolType: StructuredToolInterface

llmChain

llmChain: LLMChain<string, any>

outputParser

outputParser: undefined | AgentActionOutputParser

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>
Constructs the agent's scratchpad from a list of steps. If the agent's scratchpad is not empty, it prepends a message indicating that the agent has not seen any previous work.
Parameters
- steps: AgentStep[]
  Array of AgentStep instances to construct the scratchpad from.
Returns Promise<string>
A Promise that resolves to a string representing the agent's scratchpad.
Overrides Agent.constructScratchPad
- Defined in langchain/src/agents/structured_chat/index.ts:131

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/structured_chat/index.ts:80

observationPrefix

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

Returns string
Overrides Agent.observationPrefix
- Defined in langchain/src/agents/structured_chat/index.ts:76

plan

plan(steps, inputs, callbackManager?): Promise<any>
Decide what to do given some input.
Parameters
- steps: AgentStep[]
  Steps the LLM has taken so far, along with observations from each.
- inputs: ChainValues
  User inputs.
- Optional callbackManager: any
  Callback manager to use for this call.
Returns Promise<any>
Action specifying what tool to use.
Inherited from Agent.plan
- Defined in langchain/src/agents/agent.ts:623

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, args?): any
Create prompt in the style of the agent.
Parameters
- tools: StructuredToolInterface[]
  List of tools the agent will have access to, used to format the prompt.
- Optional args: StructuredChatCreatePromptArgs
  Arguments to create the prompt with.
Returns any
Overrides Agent.createPrompt
- Defined in langchain/src/agents/structured_chat/index.ts:165

`Static` createToolSchemasString

createToolSchemasString(tools): string
Creates a string representation of the schemas of the provided tools.
Parameters
- tools: StructuredToolInterface[]
  Array of StructuredTool instances to create the schemas string from.
Returns string
A string representing the schemas of the provided tools.
- Defined in langchain/src/agents/structured_chat/index.ts:144

`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?): StructuredChatAgent
Creates a StructuredChatAgent from an LLM and a list of tools. Validates the tools, creates a prompt, and sets up an LLM chain for the agent.
Parameters
- llm: BaseLanguageModelInterface
  BaseLanguageModel instance to create the agent from.
- tools: StructuredToolInterface[]
  Array of StructuredTool instances to create the agent from.
- Optional args: StructuredChatCreatePromptArgs & AgentArgs
  Optional arguments to customize the creation of the agent. Can include arguments for creating the prompt and AgentArgs.
Returns StructuredChatAgent
A new instance of StructuredChatAgent.
Overrides Agent.fromLLMAndTools
- Defined in langchain/src/agents/structured_chat/index.ts:208

`Static` getDefaultOutputParser

getDefaultOutputParser(fields?): StructuredChatOutputParserWithRetries
Returns a default output parser for the StructuredChatAgent. If an LLM is provided, it creates an output parser with retry logic from the LLM.
Parameters
- Optional fields: OutputParserArgs & {
  toolNames: string[];
  }
  Optional fields to customize the output parser. Can include an LLM and a list of tool names.
Returns StructuredChatOutputParserWithRetries
An instance of StructuredChatOutputParserWithRetries.
Overrides Agent.getDefaultOutputParser
- Defined in langchain/src/agents/structured_chat/index.ts:109

`Static` validateTools

validateTools(tools): void
Validates that all provided tools have a description. Throws an error if any tool lacks a description.
Parameters
- tools: StructuredToolInterface[]
  Array of StructuredTool instances to validate.
Returns void
Overrides Agent.validateTools
- Defined in langchain/src/agents/structured_chat/index.ts:93

Class StructuredChatAgent

⚠️ Deprecated ⚠️

Hierarchy (view full)

Index

Constructors

Properties

Accessors

Methods

Constructors

constructor

Parameters

input: StructuredChatAgentInput

Returns StructuredChatAgent

Properties

ToolType

llmChain

outputParser

Accessors

allowedTools

Returns undefined | string[]

inputKeys

Returns string[]

returnValues

Returns string[]

Methods

constructScratchPad

Parameters

steps: AgentStep[]

Returns Promise<string>

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 args: StructuredChatCreatePromptArgs

Returns any

Static createToolSchemasString

Parameters

tools: StructuredToolInterface[]

Returns string

Static deserialize

Parameters

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

Returns Promise<Agent>

Static fromLLMAndTools

Parameters

llm: BaseLanguageModelInterface

tools: StructuredToolInterface[]

Optional args: StructuredChatCreatePromptArgs & AgentArgs

Returns StructuredChatAgent

Static getDefaultOutputParser

Parameters

Optional fields: OutputParserArgs & { toolNames: string[]; }

Returns StructuredChatOutputParserWithRetries

Static validateTools

Parameters

tools: StructuredToolInterface[]

Returns void

`Optional` callbackManager: any

`Optional` callbackManager: any

`Static` createPrompt

`Optional` args: StructuredChatCreatePromptArgs

`Static` createToolSchemasString

`Static` deserialize

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

`Static` fromLLMAndTools

`Optional` args: StructuredChatCreatePromptArgs & AgentArgs

`Static` getDefaultOutputParser

`Optional` fields: OutputParserArgs & {
toolNames: string[];
}

`Static` validateTools