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Open software
Test your AI agents by dragging boxes on a canvas, the way Postman made testing APIs simple. Every test you build saves as clean, shareable text.
Sentinel
Sentinel makes testing an AI agent as simple as Postman made testing an API. You build a test by dragging boxes onto a canvas and joining them, no code needed. Behind the scenes it writes a clean text file, so your tests are easy to read, share, and track in version control.
Start from one of 16 ready-made templates across 12 kinds of tests, from simple question and answer to safety checks and code generation. Drag in the pieces you need, set what a good answer looks like, then run the test and watch it pass or fail. Prefer to type? Edit the same test as plain YAML, and the canvas and the text stay in sync both ways.
You pick from clear rules: the answer must contain a word, must not contain another, must match a pattern, must call a tool, or must come back fast enough. Because every test is the same text every time, results are steady and easy to repeat.
Researchers, product managers, and safety teams who need to check that an agent behaves, without writing test code. It runs as a desktop app, so your tests stay on your own machine.
git clone https://github.com/navam-io/sentinel.git
cd sentinel/frontend
npm install
npm run tauri:dev # opens the visual canvas
cd sentinel/backend
python3 -m venv venv && source venv/bin/activate
pip install -e ".[dev]"
uvicorn main:app --reload # API at http://localhost:8000/docs
# The canvas writes this for you, but you can edit it by hand too.
name: "Geography Quiz"
category: "qa"
model:
provider: "openai"
model: "gpt-5.1"
inputs:
- query: "What is the capital of France?"
assertions:
- type: "must_contain"
value: "Paris"
- type: "max_latency_ms"
value: 2000
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