multimodal_eval_guide

shallow

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

Unified tool for multimodal AI evaluation: set action=guide for reference thresholds/interpretation (CLIP, FID, VQA), or set action=clip_score / fid_score / vqa_accuracy / pipeline to compute real metrics via HuggingFace Inference API and VLM BYOK calls. One tool for both reference and computation.

100.0/100

1 trials · measured 8 days ago

multimodal_eval_guide 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: multimodal_eval_guide
[![Vouch score](https://vouch.tools/api/tools/236b5285-426d-4a47-8212-a8e4ba2aef9e/badge.svg)](https://vouch.tools/tools/236b5285-426d-4a47-8212-a8e4ba2aef9e)
multimodal_eval_guide — Vouch