LLM Step
Description
Section titled “Description”The LLM Step sends a prompt to a large language model and routes its structured response to outputs. With an Anthropic LLM connection, the model gets scoped, read-only access to the project tables, dimensions, and documents you bind; the response must match a JSON Schema you supply.
For a full walkthrough, see the LLM Step guide.
Configuration
Section titled “Configuration”- LLM Connection (required) — a connection of kind LLM (for example, Anthropic).
- Model (optional) — defaults to the connection’s default model.
- Prompt (required) — supports
{{tables.NAME}},{{dimensions.NAME}}, and{{documents.NAME}}references to bound objects. - Result schema (required) — a JSON Schema (root
"type": "object") the response must match. - Bindings — read-only Tables, Dimensions, and Documents the model may access.
- Outputs (at least one) — currently
pdf_per_item: one PDF per item of an array field, rendered from a Markdown field and uploaded to a document account. - Limits — Max output tokens (1,024 to 128,000) and Credential TTL (60 to 3,600 seconds).
Behavior
Section titled “Behavior”- The model call runs in its own job; access is read-only and limited to the bound objects.
- Each run makes a billable provider call and writes its outputs.