> ## Documentation Index
> Fetch the complete documentation index at: https://docs.llmcontrols.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent components in LLM Controls

Agent components define the behavior and capabilities of AI agents in your flow.

Agents use LLMs as a reasoning engine to decide which of the connected tool components to use to solve a problem.

Tools in agentic functions are essentially functions that the agent can call to perform tasks or access external resources. A function is wrapped as a `Tool` object with a common interface that the agent understands. Agents become aware of tools through tool registration, where the agent is provided a list of available tools typically at agent initialization. The `Tool` object's description tells the agent what the tool can do.

The agent then uses a connected LLM to reason through the problem to decide which tool is best for the job.

## **Use an agent in a flow**[**​**](https://docs.langflow.org/components-agents#use-an-agent-in-a-flow)

The [simple agent starter project](/Templates/Simpleagent) uses an [agent component](https://docs.llmcontrols.ai/Components/Agents#agent-component%E2%80%8B) connected to a ,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.

<img src="https://mintcdn.com/devrel/3c4Ck_HlevcLlxoS/images/agent_in_a_flow.png?fit=max&auto=format&n=3c4Ck_HlevcLlxoS&q=85&s=135bd04ed8a051f332472423a86098e8" alt="Agent In A Flow Pn" width="1328" height="617" data-path="images/agent_in_a_flow.png" />

## **Agent component**[**​**](https://docs.langflow.org/components-agents#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.

For more information on this component,

<Accordion title="Parameters">
  | **Name**                 | **Type** | **Description**                                                                                                                     |
  | :----------------------- | :------- | :---------------------------------------------------------------------------------------------------------------------------------- |
  | agent\_llm               | Dropdown | The provider of the language model that the agent uses to generate responses. Options include OpenAI and other providers or Custom. |
  | system\_prompt           | String   | The system prompt provides initial instructions and context to guide the agent's behavior.                                          |
  | tools                    | List     | The list of tools available for the agent to use. This field is optional and can be empty.                                          |
  | input\_value             | String   | The input task or question for the agent to process.                                                                                |
  | add\_current\_date\_tool | Boolean  | When true this adds a tool to the agent that returns the current date.                                                              |
  | memory                   | Memory   | An optional memory configuration for maintaining conversation history.                                                              |
  | max\_iterations          | Integer  | The maximum number of iterations the agent can perform.                                                                             |
  | handle\_parsing\_errors  | Boolean  | This determines whether to handle parsing errors during agent execution.                                                            |
  | verbose                  | Boolean  | This enables verbose output for detailed logging.                                                                                   |

  **Outputs**

  | **Name** | **Type** | **Description**                               |
  | :------- | :------- | :-------------------------------------------- |
  | response | Message  | The agent's response to the given input task. |
</Accordion>

### **JSON Agent**[**​**](https://docs.langflow.org/components-agents#json-agent)

This component creates a JSON agent from a JSON or YAML file and an LLM.

<Accordion title="Parameters">
  | **Name** | **Type**      | **Description**                          |
  | :------- | :------------ | :--------------------------------------- |
  | llm      | LanguageModel | The language model to use for the agent. |
  | path     | File          | The path to the JSON or YAML file.       |

  **Outputs**

  | **Name** | **Type**      | **Description**          |
  | :------- | :------------ | :----------------------- |
  | agent    | AgentExecutor | The JSON agent instance. |
</Accordion>

### **Vector Store Agent**[**​**](https://docs.langflow.org/components-agents#vector-store-agent)

This component creates a Vector Store Agent using LangChain.

<Accordion title="Parameters">
  **Inputs**

  | **Name**    | **Type**        | **Description**                                    |
  | :---------- | :-------------- | :------------------------------------------------- |
  | llm         | LanguageModel   | The language model to use for the agent.           |
  | vectorstore | VectorStoreInfo | The vector store information for the agent to use. |

  **Outputs**

  | **Name** | **Type**      | **Description**                  |
  | :------- | :------------ | :------------------------------- |
  | agent    | AgentExecutor | The Vector Store Agent instance. |
</Accordion>

### **Vector Store Router Agent**[**​**](https://docs.langflow.org/components-agents#vector-store-router-agent)

This component creates a Vector Store Router Agent using LangChain.

<Accordion title="Parameters">
  **Inputs**

  | **Name**     | **Type**               | **Description**                                                      |
  | :----------- | :--------------------- | :------------------------------------------------------------------- |
  | llm          | LanguageModel          | The language model to use for the agent.                             |
  | vectorstores | List\[VectorStoreInfo] | The list of vector store information for the agent to route between. |

  **Outputs**

  | **Name** | **Type**      | **Description**                         |
  | :------- | :------------ | :-------------------------------------- |
  | agent    | AgentExecutor | The Vector Store Router Agent instance. |
</Accordion>