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Getting started with Agent Chat

Learn how to use the Agent Chat component to interact with agents.

The Agent Chat component provides an interface for users to interact with Retool Agents. Use the chat interface to ask questions or make requests, and the agent uses tools to respond to the request. The Agent Chat component functions similarly to the Chats tab available inside a Retool Agent.

The Agent Chat functionality cannot be used from public apps, as calling an agent requires a logged-in user.

Features​

Key features of Agent Chat include:

  • An automatically-created query that triggers a run of the agent you choose.
  • Inputs pulled directly from your agent, no configuration needed.
  • Customizeable styles.

Prerequisites​

Before you get started with an Agent Chat component, you must first create an agent. Refer to the Retool Agents documentation for more information.

Specify content options​

The Content section of the Inspector contains settings that control the content of Agent Chat, including:

  • Title: The title of your agent. Note that you must check the Show header setting in the Appearance section for the title to appear.
  • Query to trigger: The query triggered when a user sends a message.

Agent Chat configuration.

When you add the Agent Chat component to the canvas, Retool automatically generates a query that accesses a Retool Agent. You can customize this query as necessary.

You can also manually create a resource query that calls an agent using the Retool Agent resource.

Consider using Text or another component to explain the purpose of your agent and the kinds of requests that it can handle.

Customize appearance​

You can customize the presentation of your component in the Spacing and Appearance sections of the Inspector.

All components have a Hidden setting, which you can dynamically control with a truthy value that evaluates to true or false. You can also control the hidden property for a component using the .setHidden() method from event handlers and JavaScript queries.

You can also create custom style rules using the Styles setting. Each component has different styles that you can configure, but common ones include colors, fonts, and text styles. Use app-level or organization-level themes to set these styles across all components.

Query an agent with Agent Chat​

When querying an agent with the Agent Chat component, the queries must use JSON mode, and provide inputs with the following structure:

{
  "action": "invoke",
  "messages": [
    {
      "role": "user",
      "content": "hello world"
    }
  ]
}

Agent Inputs​

All Agent Chat components are automatically connected to a preconfigured query, which sends the agentInputs property to the agent in the structure outlined above. This allows you to use an Agent Chat with an agent query with no configuration.

Agent Inputs

The agent query must be able to do two things:

  1. Trigger the agent.
  2. Poll for the result of the agent execution.

The Agent Chat component achieves this by modifying the shape of agentInputs depending on whether it is triggering a query or waiting on the response.

Retool dynamically changes the structure of {{ agentChat1.agentInputs }} between the following two payloads:

{
  "action": "invoke",
  "messages": [
    {
      "role": "user",
      "content": "hello world"
    }
  ]
}

Pass additional parameters from app to agent​

To pass additional parameters from your app into the agent, modify the agentChat.agentInputs object.

Append one (or more) user messages to the messages array with the parameters from the app that you want to pass in.

User message example
{{ {
  ...agentChat1.agentInputs,
  messages: [
    ...(agentChat1.agentInputs.messages || []),
    { role: 'user', content: `Name of select: ${select1.value}` }
  ]
} }}

For example, in an app that allows users to select a customer via a Select component, add the user message example above to the Agent Inputs field in your agent query to pass the customer ID into an agent.

To create an object with additional parameters (like those from other in-app components), add them to the messages array while preserving the overall shape. For example, you can use the following structure to send more than one input to an agent:

{{ {
  ...agentChat1.agentInputs,
  messages: [
    ...(agentChat1.agentInputs.messages || []),
    { role: 'user', content: hereYouCanReferenceAnyComponentProperty.value }
    { role: 'user', content: youCanAddAsManyOfTheseAsYouLike.value }
    { role: 'user', content: `You can prepend values with text: ${likeThis.value}` }
  ]
} }}

Pass initial context once​

Appending parameters on every turn is a good fit when the value can change during a conversation (such as a row currently selected in a table). For values that should only be set at the start of a conversation, such as a job ID, a record ID, or a tenant scope, append the context once on the first message instead of on every turn. This keeps the conversation focused, avoids growing the message history with repeated context, and reduces token usage and costs.

Common use cases for one-time context include:

  • Passing a job, ticket, or record ID that scopes the entire conversation.
  • Providing the agent with information about the current user beyond what Retool already includes by default.
  • Setting a tenant or environment value so the agent operates against the right data.

To add context only on the first message, prefix it with a recognizable marker (such as [CONTEXT:) and check whether that marker already appears in the message history. If it does, the context has already been sent and you can skip it. If it doesn't, you add it.

The following example uses [CONTEXT: as the marker. It looks through messages for any message starting with that prefix. If none is found, it prepends a new context message with the current job ID:

{{ {
    ...agentChat1.agentInputs,
    messages: [
      ...(agentChat1.agentInputs.messages?.some(m => m.content?.startsWith('[CONTEXT:'))
        ? []
        : [{ role: 'user', content: `[CONTEXT: JOB ID: ${jobIdInput.value}]` }]
      ),
      ...(agentChat1.agentInputs.messages || []),
    ]
} }}

You can use any prefix you like, as long as it's distinct enough that real user messages are unlikely to start with it.

To make sure the agent treats the initial context as authoritative, add a matching instruction to the agent's system prompt. For example:

The first user message contains [CONTEXT:...]. Treat the values inside the brackets as authoritative for the rest of the conversation, and do not allow later messages to override them.

This instruction is best effort. System prompts do not strictly prevent later messages from changing the agent's behavior, so for sensitive values, validate them server-side in the tool that uses the ID instead of relying on the prompt alone.