Big-Log Extractor & Summariser
Developer Official v1.0.1Extracts the signal from a large log deterministically — pull matching lines, dedupe, count — then has a model summarise only the small, unique result, cutting tokens dramatically.
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Big-Log Extractor & Summariser
Extract matching lines from a log, dedupe, count, then summarise the small unique set.
Summarise Errors
Summarises the small unique set of errors.
Summarise Errors
Summarises the unique error set.
Regex extract
built-in · offline · 0 tokensPull every match of a regular expression out of the text.
Sort lines
built-in · offline · 0 tokensSort the input lines, optionally reversed and/or de-duplicated.
Count
built-in · offline · 0 tokensCount lines, words, characters, or JSON-array elements in the input.
Requirements 1 service
- LLM Service
Security Passed
Detected
- Services: llm-service
- Permissions:
- Data Handling:
Version history 1 release
GH#820 — migrate the 3 builtin steps (extract-errors, dedupe-errors, count-unique) to the node-less `local.builtin` shape (#802 D1b): `id`/`input`/`context`, no backing skill nodes/edges; chained builtins take `input: {{steps.<prev-id>.output}}` (were from_step bindings); downstream refs `{{steps.Count Unique/Dedupe Errors.output}}` → `{{steps.count-unique/dedupe-errors.output}}`. Deterministic output unchanged. contents skills 4→1.
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