Shows synthetic tool-call outputs being checked against strict schema expectations.
Public demo
Tool-Call Fine-Tune Lab
A public audit surface for tool-call model reliability: schema checks, BFCL-style evaluation posture, serving readiness, and synthetic failure-mode review.
Credential-free
Synthetic data
Public-safe
GitHub Pages
Synthetic proof surface
QLoRA plan, schema fidelity, BFCL evaluation posture
online
Evaluation flow
1Open a synthetic scenario that matches the repository's core workflow.
2Inspect the signal, boundary, and operator-facing output without credentials.
3Use the source repository and local verification command for implementation-level inspection.
Target users
AI platform and model adaptation teams
Delivery path
Fixed-scope Agent Reliability Audit
Local verification
make verify
Service launch path
Tool-Call Fine-Tune Lab leads to one private CTA: Agent Reliability Audit.
The public surface stays credential-free and synthetic. Private work starts with a fixed-scope audit of scenario suites, tool-call traces, failure modes, provider behavior, and prioritized remediation options.
Free entryfree open-source pipeline and sample eval reports
Paid SKUfixed-scope Agent Reliability Audit
Search intentAgent Reliability Audit for tool-call fine-tuning