Decide what to do given some input.
Steps the LLM has taken so far, along with observations from each.
User inputs.
Optional
callbackManager: anyCallback manager to use for this call.
Action specifying what tool to use.
Return response when agent has been stopped due to max iterations
Optional
callbackManager: anyStatic
createCreate prompt in the style of the zero shot agent.
List of tools the agent will have access to, used to format the prompt.
Optional
args: ZeroShotCreatePromptArgsArguments to create the prompt with.
Static
deserializeLoad an agent from a json-like object describing it.
Static
fromLLMAndCreates a ZeroShotAgent from a Large Language Model and a set of tools.
The Large Language Model to use.
The tools for the agent to use.
Optional
args: ZeroShotCreatePromptArgs & AgentArgsOptional arguments for creating the agent.
A new instance of ZeroShotAgent.
Static
getReturns the default output parser for the ZeroShotAgent.
Optional
fields: OutputParserArgsOptional arguments for the output parser.
An instance of ZeroShotAgentOutputParser.
Static
validate
Agent for the MRKL chain.
Example
Deprecated
Use the createReactAgent method instead.