Evaluation Trigger

Hold the test rows of an evaluation. Test runs starts the workflow here, once per row, to measure how well it answers.

Can use an Evaluation Trigger connection — 

Optional: pick a saved connection in the Connection field when the service needs one. It signs in with an OAuth2.

Create a connection →

What it does

The Evaluation Trigger never starts a normal run: pressing Run ignores it, and it doesn’t run on a schedule or any other trigger. Only Run evaluation in the canvas ⋯ menu › Test runs uses it. Each row becomes one run, and the row’s columns are this trigger’s output.

Rows come from:

• Data Store: a Dataset key that holds a list of rows, or a key prefix ending in * (one row per key, in key order). Whose keys picks this workflow’s keys or all workflows’.
• CSV: rows pasted in the step, with a header line.

Up to caps the rows per evaluation run (50 by default, at most 500).

• Google Sheets: a sheet read with the step’s Google connection (the spreadsheet’s link or ID, and the worksheet’s gid). The first row names the columns; each non-empty row below is a case.

To add a real run as a case, open it in Runs and use Add this run’s input to the test dataset (Data Store lists only, not a key prefix).

When to use it

• Before changing the model or the prompt of an AI workflow: run the same cases before and after, and compare.
• To keep a set of tricky inputs that once went wrong, and check they stay fixed.

See Test runs for the whole method.

Inputs and settings

设置项	类型	作用
Rows from	Choice	Options: Data Store, CSV, Google Sheets. 默认值：Data Store
Dataset	Text	A Data Store key holding a list of rows, or a key prefix (one row per key, end it with *).
Whose keys	Choice	Options: This workflow, All workflows. 默认值：This workflow
CSV	Long text	Paste the rows, with a header line.
Connection	Credential
Spreadsheet	One of several shapes	Paste its link or ID.
Worksheet ID	Text	The gid in the link; empty = the first sheet.
Up to	Number	Rows per evaluation run (at most 500). 默认值：50

Put the expected answer in a column of the dataset (for example expected), so an Evaluation step can compare it with what the workflow produced.

Pasted CSV

question,expected
Where is my order 1042?,shipping
Can I get a refund?,billing

Outputs

• Output

Each output item has these fields:

Field	类型	What it holds
_evalRow	Number

Shape of an output item

{
  "_evalRow": 0
}

The row’s columns, plus _evalRow (the row number, from 0).

Dependencies and credentials

• Connection (connection, OAuth2): optional. See Create a connection.

Example workflow

1. Evaluation Trigger with the CSV above, next to the workflow’s normal Chat Trigger.
2. Both triggers lead into the same Text Classifier.
3. An Evaluation step, Set metrics, Category, expected {{ $('Evaluation Trigger').expected }}.

Common issues

• “The dataset has no rows.”: the key is empty, or no key starts with the prefix.
• “Paste the CSV rows, with a header line.”: the CSV box is empty.
• “Save first: test runs use the saved workflow.”: Test runs always run the saved version. Save, then run the evaluation.

Related nodes

• Evaluation: score each case.
• Data Store: keep the dataset.