Qlorify: Orquestrador
AI-generatedSummary
Send a natural language message to the Qlorify Agent Orchestrator AI model to execute functions and return structured results according to an optional output schema.
Inputs
- Model ID (required) — Select the AI model to use for orchestration.
- Message (required) — The natural language message to send to the orchestrator.
- System Prompt — Optional system prompt defining agent rules and including dialog context to guide the model's interpretation.
- Functions — Optional list of deterministic support function names that the orchestrator can invoke for structured data extraction.
- Output Schema (JSON) — Optional JSON object defining the exact output structure (keys, nesting, types) for the response data; example values are ignored.
Output shape
a list of items with JSON responses from the orchestrator AI, including the AI's raw response and parsed content if structured JSON was returned; each item contains metadata about credential usage.
The response is obtained from the Qlorify API chat completions endpoint. If a structured JSON response is included in the AI's reply, it is parsed and added to the item's json.responseContent field; otherwise, the raw text is included. The node supports primary and fallback credentials and will attempt retries on API failures. Errors are either thrown or included per item if continueOnFail is enabled.
Examples
Example 1: Process customer order
Set Model ID to chosen orchestrator model, enter a natural language 'Message' describing the customer order to process, optionally provide a 'System Prompt' to guide extraction rules, optionally select Functions to assist extraction, and optionally provide an Output Schema defining desired output structure.