Link Search Menu Expand Document Documentation Menu
Documentation

This is an experimental feature and is not recommended for use in a production environment. For updates on the feature’s progress or to leave feedback, go to the dashboards-assistant repository on GitHub or the associated OpenSearch forum thread.

Note that machine learning models are probabilistic and that some may perform better than others, so the OpenSearch Assistant may occasionally produce inaccurate information. We recommend evaluating outputs for accuracy as appropriate to your use case, including reviewing the output or combining it with other verification factors.

OpenSearch Assistant for OpenSearch Dashboards

Introduced 2.12

The OpenSearch Assistant toolkit helps you create AI-powered assistants for OpenSearch Dashboards without requiring you to have specialized query tools or skills.

Enabling OpenSearch Assistant

To enable OpenSearch Assistant in OpenSearch Dashboards, locate your copy of the opensearch_dashboards.yml file and set the following option:

assistant.chat.enabled: true

Then configure the root agent_id through the following API:

PUT .plugins-ml-config/_doc/os_chat
{
    "type":"os_chat_root_agent",
    "configuration":{
        "agent_id": "your root agent id"
    }
}

This example shows a system index. In security-enabled domains, only super admins have permission to execute this code. For information about making super admin calls, see the System indexes guide. For access permission, contact your IT administrator.

Next, restart the OpenSearch Dashboards server. Following a successful restart, OpenSearch Assistant appears in the OpenSearch Dashboards interface.

A screenshot of the interface is shown in the following image.

OpenSearch Assistant interface

For more information about ways to enable experimental features, see Experimental feature flags.

Configuring OpenSearch Assistant

You can use the OpenSearch Dashboards interface to configure OpenSearch Assistant. Go to the Getting started guide for step-by-step instructions. For the chatbot template, go to the Flow Framework plugin documentation. You can modify this template to use your own model and customize the chatbot tools.

For information about configuring OpenSearch Assistant through the REST API, see OpenSearch Assistant Toolkit.

Using OpenSearch Assistant in OpenSearch Dashboards

The following tutorials guide you through using OpenSearch Assistant in OpenSearch Dashboards. OpenSearch Assistant can be viewed full frame or in the right sidebar. The default is sidebar. To view full frame, select the frame icon frame icon in the toolbar.

Start a conversation

Start a conversation by entering a prompt in the Ask a question search box or by using the shortcut ctrl + /. Select Go to initiate the conversation. A response is generated.

The following screenshot shows an example prompt and response.

Prompt and response using OpenSearch Assistant in OpenSearch Dashboards

Regenerate a response

Beneath the response, select the regenerate icon to generate an alternative answer to your original question. The new answer will replace the previous one, appearing in both the interface and the chat history. A regenerated example is shown in the following image.

Regenerated response

Suggested prompts

OpenSearch Assistant suggests prompts to help you get started, build upon your existing prompts, or explore other queries you may not have considered, among other reasons. Select a suggested prompt listed beneath the response field. A screenshot is shown in the following image.

Suggested prompts

Rate a response

To rate a response, select the thumbs up or thumbs down icon. A screenshot of the interface is shown in the following image. The feedback is stored in the additional_info field of the message index.

Response generation

Learn how a response is generated by selecting the How was this generated? option. This option is included within the available suggestions to help you understand which tools were involved in creating the response. If multiple tools were involved, each step will display the tool name and its input and output. This feature can be useful for troubleshooting. A screenshot is shown in the following image.

Response generation details

Resume previous conversations

To view a previous conversation, select the clock icon to open the conversation history panel and display the chat history. The conversation history can also be searched by conversation name. A screenshot is shown in the following image.

Conversation history

Edit and delete previous conversations

Select the pencil icon to edit a conversation name and rename it. Select the Confirm name button to save the new name. A screenshot is shown in the following image.

Editing a conversation name

Select the trash can icon to delete a conversation. Once the confirmation dialog appears, select Delete conversation. The conversation is now deleted from your chat history. A screenshot is shown in the following image.

Deleting a conversation

Share a conversation through Notebooks

You can use Notebooks to save your conversations. To use this option, select Save to notebook from the dropdown menu to the right of OpenSearch Assistant. Enter a name for the notebook, then select Save. A pop-up message in the lower-right corner confirms the conversation has been saved.

All conversations (prompts and responses/questions and answers) between you and the large language model (LLM) will be saved to this notebook.

To open the saved notebook or view a list of other notebooks, select Observability > Notebooks from the OpenSeach Dashboards navigation menu.

A screenshot of the Notebooks interface with a list of saved conversations is shown in the following image.

Notebooks interface with saved OpenSearch Assistant conversations

The following screenshot shows a saved conversation, along with actions you can take for the saved conversation.

Notebooks interface with saved OpenSearch Assistant conversations

350 characters left

Have a question? .

Want to contribute? or .