llm-app-ci-gate
One CI gate for LLM apps: prompt evaluation + security scan + cost estimate, in a single report.
It does not reimplement scoring or scanning. It runs two published tools you can also use separately:
- prompt-eval-harness — deterministic prompt evaluation (exact, regex, JSON Schema, citation, forbidden, numeric_close, …)
- llm-app-security-scanner — static security scan for LLM/agent repos (shell, secrets, untrusted input, JS/TS eval, …)
Plus an offline cost estimate (~4 chars per token, no model call, no network).
Quickstart
pip install llm-app-ci-gate
llm-ci-gate check --cases examples/rag-chatbot/cases.yaml --path examples/rag-chatbot
Exit 0 = PASS, exit 1 = FAIL. It writes llm-ci-gate-report.md and llm-ci-gate-report.json.
GitHub Action
- uses: AsherLucas/llm-app-ci-gate@v0.1.0
with:
cases: cases.yaml
path: .
Tutorial
See docs-tutorial.md for a 5-minute walkthrough, plus the examples/customer-support/ case set.
Why one gate?
LLM apps fail in three different ways at once: a prompt regresses, a tool call leaks a secret, and a prompt change doubles cost. Running three separate checks in CI is easy to skip one of. One gate, one report, one pass/fail makes it hard to forget.
1 maintainer
Metadata
1 maintainer
Release files for llm-app-ci-gate 0.2.0
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