Basic Agents

Basic agents provide core functionality for reasoning with language models and tools.

Agent Component

This component creates an agent that can use tools to answer questions and perform tasks based on given instructions.

The component includes an LLM model integration, a system message prompt, and a Tools port to connect tools to extend its capabilities.

Use an agent in a flow

The simple agent starter project uses an agent component connected to URL and Calculator tools to answer a user's questions. The OpenAI LLM acts as a brain for the agent to decide which tool to use. Tools are connected to agent components at the Tools port.

Simple agent starter flow

Inputs

Name	Type	Description
agent_llm	Dropdown	The provider of the language model that the agent will use to generate responses. Options include OpenAI and other providers, or Custom.
system_prompt	String	System Prompt: Initial instructions and context provided to guide the agent's behavior.
tools	List	List of tools available for the agent to use.
input_value	String	The input task or question for the agent to process.
add_current_date_tool	Boolean	If true, adds a tool to the agent that returns the current date.
memory	Memory	Optional memory configuration for maintaining conversation history.
max_iterations	Integer	Maximum number of iterations the agent can perform.
handle_parsing_errors	Boolean	Whether to handle parsing errors during agent execution.
verbose	Boolean	Enables verbose output for detailed logging.

Outputs

Name	Type	Description
response	Message	The agent's response to the given input task.

Tool Calling Agent

This component creates a Tool Calling Agent using LangChain.

Inputs

Name	Type	Description
llm	LanguageModel	Language model to use for the agent
system_prompt	String	System prompt for the agent
user_prompt	String	User prompt template (must contain 'input' key)
chat_history	List[Data]	Optional chat history for the agent
tools	List[Tool]	List of tools available to the agent

Outputs

Name	Type	Description
agent	AgentExecutor	Tool Calling Agent instance

OpenAI Tools Agent

This component creates an OpenAI Tools Agent using LangChain.

Inputs

Name	Type	Description
llm	LanguageModel	Language model to use for the agent (must be tool-enabled)
system_prompt	String	System prompt for the agent
user_prompt	String	User prompt template (must contain 'input' key)
chat_history	List[Data]	Optional chat history for the agent
tools	List[Tool]	List of tools available to the agent

Outputs

Name	Type	Description
agent	AgentExecutor	OpenAI Tools Agent instance

XML Agent

This component creates an XML Agent using LangChain.

The agent uses XML formatting for tool instructions to the Language Model.

Inputs

Name	Type	Description
llm	LanguageModel	Language model to use for the agent
user_prompt	String	Custom prompt template for the agent (includes XML formatting instructions)
tools	List[Tool]	List of tools available to the agent

Outputs

Name	Type	Description
agent	AgentExecutor	XML Agent instance