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Description
AegisRunner is an advanced cloud-based platform utilizing AI for autonomous regression testing specifically designed for web applications. By integrating a smart web crawler with AI-driven test generation, it completely removes the need for manual test creation.
The platform operates with a simple input of a URL and autonomously performs several robust functions:
It uses a headless Chromium browser (Playwright) to thoroughly crawl the entire web application, identifying every page, interactive component, form, modal, dropdown, accordion, carousel, and any dynamic states present.
Furthermore, AegisRunner constructs a state graph of the application, representing each unique DOM state as a node and each user interaction—such as clicking, hovering, scrolling, submitting forms, and pagination—as a connecting edge.
Using the crawl data, it employs AI to generate comprehensive Playwright test suites (compatible with OpenRouter, OpenAI, and Anthropic models), eliminating the need for any manual test writing.
After generating the tests, it runs them and provides a detailed report on pass/fail results, including in-depth reports for each test case, accompanied by screenshots and traces.
Remarkably, it boasts a 92.5% pass rate across over 25,000 automatically generated tests, showcasing its effectiveness and reliability in streamlining the testing process for developers and organizations alike.
Description
LLMeter is a comprehensive open-source platform designed for monitoring AI costs, allowing developers to manage their expenditures across various providers like OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI from a single dashboard. By simply connecting read-only provider keys, teams can instantly access detailed insights into actual costs, daily usage trends, model-specific analytics, and potential areas for optimization, all within approximately 30 seconds and without any need for SDK installation, endpoint modifications, or rerouting production traffic through a proxy. Since it facilitates direct communication with model providers, LLMeter introduces no additional latency, avoids becoming a single point of failure, and does not access or store any user prompts or completions. Additionally, budget alerts notify teams prior to exceeding their daily or monthly spending thresholds, while anomaly detection features help catch unexpected usage surges before they escalate. The platform's dashboard provides a clear overview of the costs associated with various providers, models, endpoints, customers, and environments, and its integration with OpenRouter enhances transparency by covering over 500 models, ensuring users have a robust tool for managing their AI-related expenditures efficiently. Ultimately, LLmeter empowers teams to make informed financial decisions regarding their AI usage.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Anthropic
No
Azure OpenAI Service
No
Claude
No
DeepSeek
No
GPT-4o
No
Microsoft Azure
No
Mistral AI
No
OpenAI
No
OpenRouter
No
Slack
No
Integrations
Anthropic
Yes
Azure OpenAI Service
Yes
Claude
Yes
DeepSeek
Yes
GPT-4o
Yes
Microsoft Azure
Yes
Mistral AI
Yes
OpenAI
Yes
OpenRouter
Yes
Slack
Yes
Pricing Details
$9
Free Trial
No
Free Version
Yes
Pricing Details
$19 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
AegisRunner
Founded
2025
Country
India
Website
aegisrunner.com
Vendor Details
Company Name
LLMeter
Country
United States
Website
www.llmeter.org
