KAIA Save Signal icon

KAIA Save Signal

Capture a signal for knowledge graph processing

KAIA Save Signal

AI-generated

Overview

This node captures and saves a signal for knowledge graph processing by sending detailed signal data to an external Kaia API. It is useful in scenarios where workflow events or data points need to be recorded as signals for further analysis or processing, such as tracking user actions, workflow executions, or custom events within an automation pipeline.

Use Case Examples

  1. Capturing a custom signal with user and workflow context for knowledge graph enrichment.
  2. Recording an API call event signal with priority and category for monitoring purposes.

Properties

Name Meaning
Content The main content of the signal, typically JSON stringified data representing the event or data point to capture.
Additional Fields A collection of optional fields to provide more context about the signal, including signal type, title, user information, department, workflow and execution identifiers, node details, priority, context level, category, tags, LLM context, and knowledge graph data.

Output

JSON

  • workflowId - Identifier of the workflow where the signal originated.
  • workflowName - Human-readable name of the workflow.
  • executionId - Identifier of the workflow execution.
  • nodeId - Identifier of the node within the workflow.
  • nodeName - Human-readable name of the node.
  • content - The main content of the signal.
  • userId - User identifier if provided.
  • userEmail - User email address if provided.
  • userRoles - Array of user roles if provided.
  • signalType - Type of signal being captured.
  • title - Title of the signal.
  • department - User department.
  • contentHash - SHA-256 hash of the content for integrity or identification.
  • priority - Priority level of the signal.
  • context_level - Context processing level.
  • category - Category of the signal.
  • tags - Tags associated with the signal.
  • llmContext - LLM context information as JSON object.
  • knowledge_graph - Knowledge graph structure as JSON object.

Dependencies

  • Requires Kaia API credentials with base URL and token for authentication.

Troubleshooting

  • Error 'Kaia API credentials are required. Please configure the credentials.' indicates missing or misconfigured API credentials; ensure credentials are set up correctly.
  • Invalid JSON errors for LLM Context or Knowledge Graph fields occur if the input is not valid JSON; verify and correct the JSON format before execution.
  • HTTP request failures may occur due to network issues or incorrect API endpoint; check network connectivity and API base URL configuration.

Discussion