Unit-test, benchmark latency & cost, and eliminate regressions across GPT-4, Claude 3.5, and Gemini with automated evaluations.
Cross-model evaluation engine ready for
{
"customer_intent": "account_unlock",
"priority": "high",
"entities": ["account", "API pipeline", "enterprise agreement"]
}
{
"customer_intent": "urgent_account_recovery",
"priority": "high",
"entities": ["API pipeline", "enterprise agreement"]
}
Recommended for Production: Claude 3.5 Sonnet
25% cheaper per 1k requests while preserving 100% schema accuracy.
Built for engineers who treat system prompts as mission-critical code.
Run your prompts against a golden dataset of 500+ edge cases on every git push. Detect breaking format changes before your end users do.
Compare Time-To-First-Token (TTFT), total response time, and USD token costs side-by-side across every major model provider in real time.
Stress-test system prompts with automated adversarial attack vectors (DAN, role-switch, context stuffing) to uncover prompt leak risks.
Integrate AdvancePrompts into your GitHub Actions or GitLab CI. If a prompt modification drops structured schema compliance or inflates latency over 15%, the pull request is automatically blocked.
name: AdvancePrompts CI Eval
on: [pull_request]
jobs:
evaluate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run Benchmark Suite
run: |
npx advanceprompts run \
--dataset ./evals/test-suite.json \
--models gpt-4o,claude-3-5-sonnet \
--fail-on-regression 5%
Simple plans for solo builders to hyper-growth AI teams.
Ideal for indie developers and solo hackers building AI apps.
For product teams running production agent architectures.
For compliance-critical teams with self-hosted private LLMs.