QA Agent

Automated exploratory QA testing for web applications — powered by Playwright and, optionally, LLMs (Claude or GPT-4o).

qa-agent example.com

Point QA Agent at a URL and it explores your application like a real user: clicking buttons, filling forms, navigating with the keyboard, and checking for accessibility issues. Then it reports what it finds. No test scripts to write or maintain.

Need targeted tests? Pass plain-English instructions and an LLM generates custom Playwright steps that run alongside the standard suite.

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Table of Contents

• Features
• Installation
• Quick Start
• Programmatic Usage
• Agentic Testing
• Web Interface & API
• CLI Reference
• Test Categories
• Output Formats
• CI/CD Integration
• Exit Codes
• Troubleshooting
• Further Documentation
• License

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Features

Category	What it does
Agentic testing	Give Claude or GPT-4o a bug report or feature spec; it generates custom Playwright test steps automatically
Two modes	focused tests only given URLs; explore crawls and discovers pages
Six test suites	Keyboard · mouse · forms · accessibility · error detection (on by default) + WCAG 2.1 AA compliance (opt-in)
Auth support	Username/password, cookies, Bearer tokens, custom headers
Four output formats	Console, Markdown, JSON, PDF
Screenshots & video	On-error or every-interaction screenshots; full session recording
Web UI	Dashboard for launching runs, live output, and browsing past sessions
CI/CD ready	Exit codes map to pass/fail; JSON output integrates with any pipeline

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Installation

Requires Python 3.10+. Check with python --version.

pip install qa-agent            # standard testing (Playwright only)

Chromium is installed automatically on first run. Optional extras:

pip install "qa-agent[pdf]"    # PDF reports (adds WeasyPrint)
pip install "qa-agent[web]"    # web UI (adds Flask)
pip install "qa-agent[all]"    # everything above

Agentic testing requires an API key for your chosen provider:

export ANTHROPIC_API_KEY=sk-ant-...   # Anthropic (default)
export OPENAI_API_KEY=sk-...          # OpenAI

Chromium is installed automatically on the first run. If you need to reinstall it manually, run playwright install chromium.

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Quick Start

# Test a single URL
qa-agent https://example.com

# Test multiple URLs
qa-agent https://example.com https://example.com/about

# Crawl and test discovered pages
qa-agent --mode explore --max-depth 2 https://example.com

# Generate reports in a custom directory
qa-agent --output json,markdown --output-dir ./reports https://example.com

# Run via module
python -m qa_agent https://example.com

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Programmatic Usage

from qa_agent import QAAgent, TestConfig, TestMode, OutputFormat

config = TestConfig(
    urls=["https://example.com"],
    mode=TestMode.EXPLORE,
    output_formats=[OutputFormat.CONSOLE, OutputFormat.JSON],
    max_depth=2,
    max_pages=10,
    instructions="Verify the password reset flow.",  # optional
)

agent = QAAgent(config)
session = agent.run()

print(f"Pages tested:   {len(session.pages_tested)}")
print(f"Total findings: {session.total_findings}")

Set workers to test pages in parallel, and use BatchRunner to run several independent sessions concurrently with a bounded pool:

from qa_agent import BatchRunner, TestConfig

configs = [
    TestConfig(urls=["https://example.com"], workers=4),
    TestConfig(urls=["https://other.test"]),
]

with BatchRunner(pool_size=4) as runner:
    for result in runner.run_all(configs):
        if isinstance(result, Exception):
            print(f"session failed: {result}")
        else:
            print(f"{result.session_id}: {result.total_findings} findings")

→ Full Python API Reference — all classes, methods, and configuration options.

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Agentic Testing

Pass natural-language instructions and an LLM generates custom test steps that run alongside the standard suite. Supports Anthropic (Claude) and OpenAI (GPT-4o and others). No third-party AI packages are required — all API calls use Python's built-in urllib.

# From a bug report (Anthropic, default)
qa-agent --instructions "The login button does nothing when email is blank" \
  https://example.com/login

# Using OpenAI instead
qa-agent --llm openai --instructions "The login button does nothing when email is blank" \
  https://example.com/login

# From a feature spec
qa-agent --instructions "The 'Remember me' checkbox should be unchecked by default \
  and persist the session across browser restarts." \
  https://example.com/login

# From a file
qa-agent --instructions-file feature-spec.txt https://example.com

How it works

1. The LLM receives your instructions and the target URL.
2. It returns a structured plan: summary, focus areas, and custom Playwright test steps.
3. The agent runs those steps on every tested page alongside the standard suites.
4. Assertion failures become findings in the report with the severity the LLM assigned.

If the API call fails (or the key is missing), a warning is printed and the run continues with standard tests only.

Provider, model & caching

# Choose provider (default: anthropic)
qa-agent --llm anthropic --instructions "Test checkout" https://shop.example.com
qa-agent --llm openai    --instructions "Test checkout" https://shop.example.com

# Override model (defaults: anthropic → claude-sonnet-4-6, openai → gpt-4o)
qa-agent --llm openai --ai-model gpt-4o-mini --instructions "Test checkout" https://shop.example.com

# Bypass the plan cache
qa-agent --no-cache --instructions "..." https://example.com

Plans are cached to ~/.qa_agent/cache/ (24-hour TTL). Pass --no-cache to force a fresh API call.

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Web Interface & API

python -m qa_agent web              # http://127.0.0.1:5000
qa-agent-web --host 0.0.0.0 --port 8080  # custom bind

• Configuration form with all CLI options
• Real-time streaming output (Server-Sent Events)
• Stop a running test mid-run
• Browse past sessions grouped by domain
• Session detail: findings table, severity breakdown, screenshot gallery, report downloads

No authentication — intended for local or internal use only.

Output is written to output/ by default. CLI sessions appear in the web UI automatically (JSON is always written).

REST API

The web server exposes a JSON API at http://127.0.0.1:5000 (default).

# Launch a test run
curl -X POST http://127.0.0.1:5000/api/run \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://example.com"]}'
# → {"job_id": "a1b2c3d4", "status": "running", "stream_url": "/api/stream/a1b2c3d4"}

# Stream live output (Server-Sent Events)
curl -N http://127.0.0.1:5000/api/stream/a1b2c3d4

# List past sessions
curl http://127.0.0.1:5000/api/sessions?limit=10

→ Full API reference — all endpoints, request body schema, and SSE event types.

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CLI Reference

qa-agent --version
qa-agent --help

Modes

qa-agent --mode focused https://example.com   # default — test only given URLs
qa-agent --mode explore https://example.com    # crawl and test discovered pages

Concurrency

Test multiple pages in parallel with cooperating workers. Each worker drives its own browser, so memory and CPU scale with the worker count (capped at 16).

qa-agent --workers 4 --mode explore https://example.com   # 4 pages at a time

Run several independent sessions concurrently from a JSON spec file. Each entry needs urls plus optional per-run overrides (mode, max_depth, max_pages, instructions, workers); all other settings come from the command-line flags.

qa-agent --batch-file runs.json --pool-size 4

[
  {"urls": ["https://example.com"], "mode": "explore", "workers": 4},
  {"urls": ["https://other.test/login"], "instructions": "Check the checkout flow"}
]

Flag	Default	Description
--workers N	1	Concurrent page-workers per run (max 16)
--batch-file FILE	—	JSON file of multiple runs to execute concurrently
--pool-size N	4	Max concurrent runs for --batch-file (max 8)
--rate-limit N	3.0	Max page navigations/sec to any single host (0 = unlimited)

Total live browsers ≈ pool-size × workers, so size both with that multiplicative cost in mind. The web API accepts the same workers value in the POST /api/run body, and the pool size is set server-side via the QA_AGENT_JOB_POOL_SIZE environment variable.

By default, navigations to any single host are throttled to 3 requests/second across all workers and batch jobs, to avoid overwhelming dev/staging servers with "too many connections" when running with many concurrent browsers. Raise or disable this with --rate-limit (e.g. --rate-limit 10 or --rate-limit 0 for unlimited). The limit applies only to page navigations (page.goto()), not in-page interactions like clicks or form fills. The web server uses the same 3 req/s default, overridable via the QA_AGENT_RATE_LIMIT environment variable.

Exploration (explore mode)

Flag	Default	Description
--max-depth N	3	Max link depth
--max-pages N	100	Max pages to test
--max-interactions N	50	Max interactions per page
--allow-external	off	Follow links to other domains
--ignore PATTERN	—	URL regex to skip (repeatable)

Authentication

qa-agent --auth "user:pass@https://example.com/login" https://example.com/dashboard
qa-agent --auth-file auth.json https://example.com
qa-agent --cookies cookies.json https://example.com
qa-agent --header "Authorization: Bearer token123" https://example.com

auth.json schema

{
  "username": "testuser",
  "password": "testpass",
  "auth_url": "https://example.com/login",
  "username_selector": "input#email",
  "password_selector": "input#password",
  "submit_selector": "button[type=submit]"
}

Output

qa-agent --output console,markdown,json,pdf https://example.com
qa-agent --output-dir ./reports https://example.com

Default: console,markdown. JSON is always written regardless of --output (for web UI discovery). Output is organized as output/{domain}/{session_id}/qa_reports|screenshots|recordings.

PDF requires the [pdf] extra. Falls back to Markdown if WeasyPrint is not installed.

Screenshots & recording

qa-agent --screenshots       https://example.com  # on errors
qa-agent --screenshots-all   https://example.com  # every interaction
qa-agent --full-page         https://example.com  # full-page captures
qa-agent --record            https://example.com  # session video

Browser

qa-agent --no-headless                  # visible browser window
qa-agent --viewport 1920x1080           # default: 1280x720
qa-agent --timeout 60000                # ms, default: 30000

Test suites

# Skip standard suites
qa-agent --skip-keyboard      https://example.com
qa-agent --skip-mouse         https://example.com
qa-agent --skip-forms         https://example.com
qa-agent --skip-accessibility https://example.com
qa-agent --skip-errors        https://example.com

# Enable opt-in suites
qa-agent --wcag-compliance    https://example.com

Agentic testing flags

Flag	Default	Description
--llm {anthropic,openai}	anthropic	LLM provider for AI instructions
--ai-model MODEL	provider default	Model override (claude-sonnet-4-6 / gpt-4o)
--no-cache	off	Bypass the 24-hour plan cache

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Test Categories

Six built-in suites cover keyboard navigation, mouse interaction, form handling, accessibility (WCAG), runtime error detection, and an opt-in WCAG 2.1 AA compliance audit. Five run by default; enable the sixth with --wcag-compliance.

→ Detailed test-by-test reference

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Output Formats

Console

JSON

{
  "meta": {
    "session_id": "a1b2c3d4",
    "start_time": "2024-01-15T10:30:00",
    "duration_seconds": 45.2
  },
  "summary": {
    "pages_tested": 5,
    "total_findings": 12,
    "findings_by_severity": { "high": 2, "medium": 5, "low": 5 }
  },
  "findings": [...]
}

Severity levels

Level	Meaning
CRITICAL	Security issues, data loss
HIGH	Major usability blockers
MEDIUM	UX problems, accessibility issues
LOW	Minor improvements, best practices
INFO	Informational observations

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CI/CD Integration

# GitHub Actions example
- name: Run QA Tests
  env:
    ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}   # or OPENAI_API_KEY
  run: |
    pip install qa-agent
    qa-agent --output json --output-dir ./qa-results https://staging.example.com

- name: Upload Results
  uses: actions/upload-artifact@v4
  with:
    name: qa-results
    path: ./qa-results/

Exits with code 1 when critical or high severity issues are found, failing the CI step automatically. See Exit Codes.

Omit --instructions / --instructions-file and the API key env vars if you only need standard tests.

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Exit Codes

Code	Meaning
0	All tests passed (no critical/high findings)
1	Critical or high severity issues found
2	Error running tests
130	Interrupted (Ctrl+C)

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Troubleshooting

Playwright browser not found

Chromium is installed automatically on first run. If reinstalling is needed:

playwright install chromium

If automatic installation fails, run the above command manually.

Web UI not working

pip install "qa-agent[web]"

Required for qa-agent-web and python -m qa_agent web.

PDF reports missing

pip install "qa-agent[pdf]"

Falls back to Markdown silently if WeasyPrint is absent.

Agentic testing skipped

No extra packages are needed — LLM calls use Python's built-in urllib. You only need a valid API key for your chosen provider:

export ANTHROPIC_API_KEY=sk-ant-...   # for --llm anthropic (default)
export OPENAI_API_KEY=sk-...          # for --llm openai

If the key is missing or the API call fails, qa-agent prints a warning and continues with standard tests.

Python version too old

Requires 3.10+. Check with python --version.

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Further Documentation

Document	Description
Architecture	System architecture and how to extend QA Agent
Development Guide	Detailed development setup, testing, and build processes
Python API Reference	Programmatic usage for embedding QA Agent in Python code
Test Categories	Detailed test-by-test reference
Web API	Full REST API documentation
Contributing	Contribution guidelines and pull request process

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License

MIT — Copyright (c) 2026 Bill Richards. See LICENSE.