cli-jentic 0.1.2

OpenAPI scoring and sandbox CLI for AI-ready APIs — cli-jentic

cli-jentic

A CLI tool that scores OpenAPI specs for AI-readiness across 6 dimensions — giving APIs a letter grade and actionable recommendations so they work well with AI agents and LLM tooling.

Installation

# With uv (recommended)
uv pip install -e .

# Or with pip
pip install -e .

Usage

Scorecard

# Score an OpenAPI spec
cli-jentic score path/to/openapi.yaml

# Output as JSON
cli-jentic score path/to/openapi.yaml --json

# Run against the built-in sample spec to see how scoring works
cli-jentic demo
cli-jentic demo --json

Sandbox

The sandbox spins up a local mock server from your spec and auto-probes every endpoint, reporting a feasibility score — how well the spec can actually be exercised by an agent.

# Start a persistent mock server (press Ctrl+C to stop)
cli-jentic sandbox start path/to/openapi.yaml
cli-jentic sandbox start path/to/openapi.yaml --port 9000

# Probe all endpoints and get a report
cli-jentic sandbox probe path/to/openapi.yaml
cli-jentic sandbox probe path/to/openapi.yaml --json

# Run against the built-in sample spec
cli-jentic sandbox demo
cli-jentic sandbox demo --json

The probe command:

1. Starts an internal mock server
2. Generates synthetic request payloads and path parameters from the spec's schemas
3. Fires requests at every operation
4. Reports per-endpoint status codes, response times, and any issues found
5. Exits with code 2 if the feasibility score is below 50%

Exit codes

Code	Meaning
0	Success / score ≥ threshold
1	Error reading or parsing the spec
2	Score below threshold (< 60 for scorecard, < 50% for sandbox)

What gets scored

Each spec is evaluated across 6 weighted dimensions:

Dimension	Weight	What it checks
Foundational Compliance	20%	OpenAPI version, info object, paths defined, spec validity
Developer Experience	15%	Operation IDs, summaries, request/response examples, parameter descriptions
AI-Readiness & Agent Experience	20%	Meaningful descriptions, error responses (4xx/5xx), response schemas, schema property descriptions
Agent Usability	20%	Semantic operation IDs, tag usage, parameter schemas, request body documentation
Security & Governance	15%	Security schemes defined, operations secured, auth documentation
AI Discoverability	10%	API-level description, tags defined, external docs

Grading

Score	Grade
90–100	A
80–89	B
70–79	C
60–69	D
< 60	F

Example output

╭─ cli-jentic · OpenAPI AI readiness ───────────────────────────╮
│  Task Manager API  v1.0.0                                      │
│  sample_spec.yaml                                              │
│                                                                │
│  Overall Score: 42.3/100  Grade: F                             │
╰────────────────────────────────────────────────────────────────╯

╭──────────────────────────────────┬───────────┬───────┬──────────────────────────┬────────╮
│ Dimension                        │     Score │ Grade │ Progress                 │ Issues │
├──────────────────────────────────┼───────────┼───────┼──────────────────────────┼────────┤
│ Foundational Compliance          │  75.0/100 │     C │ ███████████████░░░░░     │      1 │
│ Developer Experience             │  38.5/100 │     F │ ███████░░░░░░░░░░░░░░    │      3 │
│ AI-Readiness & Agent Experience  │  31.2/100 │     F │ ██████░░░░░░░░░░░░░░░    │      4 │
│ ...                              │       ... │   ... │ ...                      │    ... │
╰──────────────────────────────────┴───────────┴───────┴──────────────────────────┴────────╯

Issues & Recommendations

  AI-Readiness & Agent Experience
    x 4/6 operations lack descriptive intent (need >30 char description)
       paths.*.*.description
    ! 5/6 operations have no documented error responses (4xx/5xx) — agents cannot handle failure gracefully
       paths.*.*.responses

JSON output

Pass --json to get a machine-readable report:

cli-jentic score openapi.yaml --json | jq '.overall_score'

{
  "api_name": "Task Manager API",
  "api_version": "1.0.0",
  "spec_path": "openapi.yaml",
  "overall_score": 42.3,
  "grade": "F",
  "dimensions": [
    {
      "name": "Foundational Compliance",
      "score": 75.0,
      "grade": "C",
      "issues": [...]
    }
  ]
}

Development

# Install with dev dependencies
uv pip install -e .

# Run directly without installing
python main.py score path/to/spec.yaml