agent-ci-verify 0.1.0

CI/CD verification pipeline for AI agent outputs — fact check, schema validation, diff verification

agent-ci

CI/CD verification pipeline for AI agent outputs.
Don't trust your agent's output — verify it.

---

Why agent-ci?

AI agents are entering production, but no one can answer "can I trust this output?"

Existing tools are all "eval libraries" — you import them and write tests yourself. That's self-review, not independent verification.

agent-ci is your agent's CI/CD pipeline — plug it in, and every agent output goes through an independent verification layer before it reaches your users.

Quick Start

pip install agent-ci-verify
agent-ci ./agent-output/

agent-ci v0.1.0
Output dir: ./agent-output/
Checkers: schema, fact, diff

                               📋 Schema Checker
┏━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ✅   │ json_valid           │                                                ┃
┃ ✅   │ yaml_valid           │                                                ┃
┃ ✅   │ security_scan        │ No secrets detected                            ┃
┗━━━━━━┻━━━━━━━━━━━━━━━━━━━━━━┻━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛

                               🔍 Fact Checker
┏━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ✅   │ fact:file_count      │ 1 files for '*.json'                           ┃
┃ ✅   │ fact:content_contains│ 'success' found in result.json                 ┃
┗━━━━━━┻━━━━━━━━━━━━━━━━━━━━━━┻━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛

╭────────────────────────────────── Verdict ────────────────────────────────╮
│   ✅  PASS                                                                 │
╰───────────────────────────────────────────────────────────────────────────╯

Three Verification Layers

Layer	What it checks	Example
Schema	Format, structure, security	Valid JSON? API key leaked? Required files present?
Fact	File existence, API reconciliation, LLM judging	Agent claimed result.json exists — does it? API returned 200?
Diff	Regression detection, semantic drift	Output changed vs baseline? Similarity below threshold?

Configuration

Drop .agent-ci.yaml in your agent project root:

pipeline:
  enabled_checkers: [schema, fact, diff]
  fail_fast: false

schema:
  security:
    enabled: true
  required_files:
    - "output/result.json"
  json_schemas:
    schemas/output.schema.json: "output/**/*.json"

fact:
  files:
    - pattern: "output/**/*.json"
      expected_count: 1
      min_size_bytes: 10
      content_checks:
        - type: contains
          value: "success"
        - type: not_contains
          value: "error"
  api:
    - endpoint: "https://api.example.com/health"
      expected_status: 200
  llm_judge:
    - file: "output/answer.md"
      rubric: "Is the answer factually correct?"
      model: "gpt-4o-mini"

diff:
  baseline: "./baseline-output/"
  semantic_threshold: 0.7
  max_changed_files: 5

Security Scanning

Built-in patterns detect:

• AWS Access Keys (AKIA...)
• GitHub Tokens (ghp_...)
• OpenAI API Keys (sk-proj-...)
• JWT Tokens
• Private Keys (RSA, EC, DSA, OpenSSH)
• Password/Secret assignments

CI Integration

# .github/workflows/agent-check.yml
- name: Verify agent output
  run: |
    pip install agent-ci
    agent-ci ./output/

Development

git clone https://github.com/Lewis-404/agent-ci.git
cd agent-ci
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest tests/ -v

License

MIT — see LICENSE