Skip to main content

AI-powered testing swarm

Project description

AI Testing Swarm

AI Testing Swarm is a super-advanced, mutation-driven API testing framework (with optional OpenAPI + OpenAI augmentation) built on top of pytest.

It generates a large set of deterministic negative/edge/security test cases for an API request, executes them (optionally in parallel, with retries/throttling), and produces a JSON report with summaries.

Notes:

  • UI testing is not the focus of the current releases.
  • OpenAI features are optional and disabled by default.

Installation

pip install ai-testing-swarm

CLI entrypoint:

ai-test --help

Quick start (cURL input)

Create request.json:

{
  "curl": "curl --location https://postman-echo.com/post --header \"Content-Type: application/json\" --data \"{\\\"hello\\\":\\\"world\\\",\\\"count\\\":1}\""
}

Run:

ai-test --input request.json

A JSON report is written under:

  • ./ai_swarm_reports/<METHOD>_<endpoint>/<METHOD>_<endpoint>_<timestamp>.json

Reports include:

  • per-test results
  • summary counts by status code / failure type
  • optional AI summary (if enabled)

Input formats

1) Raw cURL

{ "curl": "curl ..." }

2) Normalized request

{
  "method": "POST",
  "url": "https://example.com/api/login",
  "headers": {"content-type": "application/json"},
  "params": {"a": "b"},
  "body": {"username": "u", "password": "p"}
}

3) OpenAPI-driven (optional)

{
  "openapi": "./openapi.json",
  "path": "/pets",
  "method": "get",
  "headers": {"accept": "application/json"},
  "path_params": {"petId": "123"},
  "query_params": {"limit": 10},
  "body": null
}
  • OpenAPI JSON works by default.
  • OpenAPI YAML requires PyYAML installed.
  • Base URL is read from spec.servers[0].url.
    • Override with AI_SWARM_OPENAPI_BASE_URL if your spec doesn’t include servers.

What test cases are generated?

The swarm always includes:

  • happy_path (baseline)

Then generates broad coverage across:

  • Method misuse: same path with wrong HTTP methods (GET/PUT/PATCH/DELETE etc.)
  • Headers: missing/invalid Content-Type, accept variations, and other header tampering
  • Auth (if Authorization header exists): missing/invalid token tests
  • Body/query mutations (per field):
    • missing / null / empty / whitespace
    • type probes (int/bool/float/array/object)
    • boundary inputs (very long strings, huge ints, negative values)
    • unicode + special character payloads
  • Security payload probes (per field): SQLi/XSS/path traversal/log4j patterns
  • Whole-body mutations: null body, empty object, extra unexpected field

Output is deterministic unless OpenAI augmentation is enabled.


Safety mode (recommended for CI/demos)

Mutation testing can be noisy and may accidentally stress a real environment. To force safe demo runs only against public test hosts:

ai-test --input request.json --public-only

Or via env:

export AI_SWARM_PUBLIC_ONLY=1

Allowed hosts in public-only mode:

  • httpbin.org
  • postman-echo.com
  • reqres.in

Performance features

Parallel execution

  • Enabled by default via thread pool.
  • Control with:
    • AI_SWARM_WORKERS (default: 5)

Retry + backoff (flaky endpoints)

  • Retries on transient errors and status codes (408/429/5xx etc.)
  • Control with:
    • AI_SWARM_RETRY_COUNT (default: 1)
    • AI_SWARM_RETRY_BACKOFF_MS (default: 250)

Throttling (RPS)

  • Global throttle to avoid hammering a target:
    • AI_SWARM_RPS (default: 0 = disabled)

Max test cap

  • Avoids accidental DoS / CI timeouts:
    • AI_SWARM_MAX_TESTS (default: 80)

Reporting

Reports include:

  • summary.counts_by_failure_type
  • summary.counts_by_status_code
  • summary.slow_tests (based on SLA)
  • summary.risk_score + summary.risk_grade
  • summary.delta_vs_previous (from endpoint history)

SLA threshold:

  • AI_SWARM_SLA_MS (default: 2000)

Security:

  • Redaction is optional and OFF by default.
  • Enable redaction with:
    • AI_SWARM_REDACT_ENABLED=1
  • When enabled, sensitive headers are redacted (Authorization/Cookie/api tokens etc.)
  • When enabled, sensitive keys in request params/body and response snippets are recursively redacted
  • Add extra redaction keys with:
    • AI_SWARM_REDACT_KEYS (comma-separated, e.g. customerEmail,ssn)

HTML + history:

  • Per run HTML: ai_swarm_reports/<METHOD_endpoint>/<METHOD_endpoint>_<timestamp>.html
  • Endpoint latest: ai_swarm_reports/<METHOD_endpoint>/latest.html
  • Endpoint history file: ai_swarm_reports/<METHOD_endpoint>/history.json
  • Project dashboard: ai_swarm_reports/index.html
  • Project manual-pass overrides: ai_swarm_reports/manual_pass_overrides.json (shared across browsers/runs)
  • Detailed results support MANUALLY_PASSED from report UI, sourced only from project-level manual_pass_overrides.json (no browser fallback).
  • Owner & escalation links are configurable:
    • AI_SWARM_OWNER_MAP=GET_quickview=platform-api;*=qa-platform
    • AI_SWARM_ENABLE_JIRA_ACTION=1 (0 disables Jira button in report UI)
    • AI_SWARM_ENABLE_SLACK_ACTION=1 (0 disables Slack button in report UI)
    • AI_SWARM_JIRA_URL_TEMPLATE=https://jira.example.com/create?summary={summary}&description={description}
    • AI_SWARM_SLACK_URL_TEMPLATE=https://slack.example.com/notify?text={summary}
    • Jira/Slack templates support placeholders:
      • {method}, {url}, {run_time}, {endpoint}, {endpoint_name}, {owner}
      • {decision}, {health}, {risk_score}, {risk_grade}, {risk_label}
      • {total_tests}, {pass_count}, {manual_pass_count}, {effective_pass_count}, {fail_count}, {unknown_count}, {unknown_status_count}, {blocking_count}
      • {summary} and {description} are URL-encoded
      • {summary_raw} and {description_raw} are plain text
  • Configure with:
    • AI_SWARM_HTML_REPORT=1 (default enabled)
    • AI_SWARM_REPORT_HISTORY_LIMIT=120
    • AI_SWARM_OPEN_REPORT=off|dashboard|latest|both (default off)
    • AI_SWARM_OPEN_REPORT_FORCE=1 to allow auto-open in CI/headless environments

Optional OpenAI augmentation (advanced)

A) Generate additional test cases (planner augmentation)

Enable:

export AI_SWARM_USE_OPENAI=1
export OPENAI_API_KEY=... 
export AI_SWARM_MAX_AI_TESTS=30

B) Human-readable AI summary in report

Enable:

export AI_SWARM_USE_OPENAI=1
export AI_SWARM_AI_SUMMARY=1
export OPENAI_API_KEY=...

Model selection:

  • AI_SWARM_OPENAI_MODEL (default: gpt-4.1-mini)

CLI help

ai-test --help

Plain Pytest Integration Test (No Allure)

Run the offers-list swarm test without Allure dependency:

AI_SWARM_RUN_LIVE_TESTS=1 PYTHONPATH=src pytest -q tests/test_offers_list_api_swarm_plain.py -s

Public API plain tests (no Allure):

AI_SWARM_RUN_LIVE_TESTS=1 PYTHONPATH=src pytest -q tests/test_public_postman_get_swarm_plain.py -s
AI_SWARM_RUN_LIVE_TESTS=1 PYTHONPATH=src pytest -q tests/test_public_postman_post_swarm_plain.py -s
AI_SWARM_RUN_LIVE_TESTS=1 PYTHONPATH=src pytest -q tests/test_public_httpbin_anything_swarm_plain.py -s

For private/preprod offers tests, also set:

AI_SWARM_RUN_PRIVATE_TESTS=1

Release decisions

The swarm produces a release decision:

  • APPROVE_RELEASE
  • APPROVE_RELEASE_WITH_RISKS
  • REJECT_RELEASE

The decision is derived from deterministic rules (not an LLM).


License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ai_testing_swarm-0.1.21.tar.gz (81.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ai_testing_swarm-0.1.21-py3-none-any.whl (75.1 kB view details)

Uploaded Python 3

File details

Details for the file ai_testing_swarm-0.1.21.tar.gz.

File metadata

  • Download URL: ai_testing_swarm-0.1.21.tar.gz
  • Upload date:
  • Size: 81.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.4

File hashes

Hashes for ai_testing_swarm-0.1.21.tar.gz
Algorithm Hash digest
SHA256 7b88a920ec79b1aec775565e8ba6ea4789c386b39dfa36ce665766332c170dae
MD5 89618de7b729a0166ecd2f9b47a2e91d
BLAKE2b-256 4bd391e95067134f39b2d6cc30188b55f9cf166f3ba656370694c819ce5ee716

See more details on using hashes here.

File details

Details for the file ai_testing_swarm-0.1.21-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_testing_swarm-0.1.21-py3-none-any.whl
Algorithm Hash digest
SHA256 0004bc6933b3ec509fb728b5f990784248868e972a864b57d37a781107669e0b
MD5 28bb66a29f97450c517c89a8a6344d88
BLAKE2b-256 fa99db90b3811f4d985ba7aca80cd9e95eeb43e73b210fb84d1386895eaa1223

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page