llm_output_validator

shallow

io.github.JcJamet/ia-qa-toolbox · Verify this server

Validate an LLM response against QA criteria: format checks (JSON, code, markdown), content rules (must-include, must-not-include), length constraints, language detection, and safety patterns. Essential for QA testing LLM-powered features.

100.0/100

1 trials · measured 8 days ago

llm_output_validator scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.JcJamet/ia-qa-toolbox, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: llm_output_validator
[![Vouch score](https://vouch.tools/api/tools/f03c841d-5001-42c9-a5e8-7793b0259858/badge.svg)](https://vouch.tools/tools/f03c841d-5001-42c9-a5e8-7793b0259858)
llm_output_validator — Vouch