AI Agent

The AI Agent is an innovative dashboard component designed to display textual responses generated by language models based on user-configured prompts. This component seamlessly integrates with both case-centric and object-centric Snowflake models, to provide comprehensive insights.

Key features of the AI Agent include:

• Versatile Model Support: The AI Agent is compatible with language models from both OpenAI and Snowflake Cortex, offering flexibility and a wide range of capabilities to meet diverse analytical needs.
• Dynamic Response Generation: By configuring specific prompts, users can tailor the AI Agent to generate relevant and context-specific textual responses, enhancing decision-making processes.
• Integration with Snowflake: The AI Agent supports Snowflake's case-centric and object-centric models, allowing users to harness the full potential of their data within the Snowflake ecosystem.

This component is ideal for users seeking to leverage advanced language models to extract meaningful insights and drive data-driven strategies directly from their dashboards.

General Settings

• System Prompt: Optional. Enter a system prompt for the language model if desired. This can help guide the model's responses but is not required.
• User Prompt: Mandatory. Provide a user prompt for the language model. This field must contain valid input.
• Input Charts: Optional. Configure an array of zero-to-many chart configurations to be used as source data for the language model. The AI Agent can function without input charts.
• LLM Name: Select a language model from the predefined list of Snowflake Cortex models or enter a custom model name. If the OpenAI API key is configured and no LLM name is specified, the OpenAI language model will be used by default. Default language model is llama3.1-70b.
• LLM Parameters: Optional. Define optional parameters for the language model using a JSON object. Refer to the Snowflake and OpenAI documentation for supported parameters. Example: { "temperature": 0 }
• Title: Set a title for the AI Agent component.
• Description: Provide a description for the AI Agent. Note that this description is not used as a prompt for the language model.

Layout Settings

Configure layout settings as needed.

Filtering Settings

• Follow Dashboard Filters: Enable this option if you want the input charts to follow the dashboard's filters.
• Chart Filter: Apply filters to each of the input charts if they are set to follow dashboard filters.
• Find Root Causes: Enable this setting if you want the AI Agent to identify root causes within the data.
• Require Root Causes Criteria: Specify criteria that must be met for root causes to be identified.

Advanced Settings

• Settings Available in Preview Mode: Adjust settings that are available when the AI Agent is in preview mode.
• On-Screen Settings: Configure settings that will be available on-screen during the AI Agent's operation.
• Linked Settings: Manage linked settings, noting that linked settings are disabled by default.
• Model: Select a model for the input charts. This can be overridden in each chart's configuration.
• Object-Centric Perspective Settings: Configure these settings if an object-centric model is selected. These settings can also be overridden in each chart's configuration.
• Event Type Mapping: Define event type mappings for the input charts, which can be overridden in each chart's configuration.
• Chart Settings (Editable): Edit chart settings as necessary to customize the input charts used by the AI Agent.

By following these steps, you can effectively configure the AI Agent to meet your specific needs and leverage its capabilities for data analysis and insights.