Structure anything
One call classifies text into issue commit log_event pull_request tool_call tool_clarification diagnostic diff review_comment agent_step text. Every input gets a structured record with confidence; general text is a first-class outcome, not a failure.
99.71%routed + valid, 350 held-out
Guard tool calls
Three honest outcomes: CALL (fully specified), CLARIFY (structured ask-back with the missing parameters), ABSTAIN (not a tool match). A call with missing parameters can never execute.
95.4%underspecified, no guessed call
Predict across domains
Assigns values over arbitrary label sets with no tuning on your side; zero-shot hits 81.0% where chance is 1.3%, and a few-shot onboarding pass (~16 labeled examples per schema, CPU-minutes) measures 92.98% exact on unseen domains.
81.0%zero-shot, 77 intents
Work multilingually
English, German, French, Spanish, Polish, Portuguese, Italian, Dutch and Japanese; German incident tickets route at 98.7%.
9languages evaluated end to end
Grade severity
Ordinal severity on a fixed INFO→CRITICAL scale with calibrated confidence. Ten production vocabularies (PagerDuty SEV, Atlassian/Jira P-levels, Bugzilla, GitHub labels, syslog, OpenTelemetry, Log4j, CVSS, ITIL) crosswalk onto the canonical tiers, so a grade renders in your customer's own terms.
84.2%within-one, 600 real tickets
Extract fields
IDs, levels, components, titles, bodies, diff file paths, tool arguments: extracted and schema-validated, with a repair pass for near-JSON input. Your enum wording - any language, declared alias tables - coerces to your canonical values.
99.99%component extraction, LogHub
Parse whole dumps
Paste a mixed stream (logs + traceback + diff + prose); get ordered, individually classified, valid JSON records back in a single pass.
32,000lines, 100% routed and valid
Deploy anywhere
REST API and MCP server in one non-root container; sha256-verified artifacts, bearer auth, deterministic inference.
~650 MBof artifacts, cpu only