testdriver-agent
How the TestDriver agent behaves on GitHub issues, pull requests, and @mentions
Speed up tests with screenshot-based caching
Claude Code
$ npx -y skills add testdriverai/testdriverai --skill testdriver-cache --agent claude-code
Codex
$ npx skills add testdriverai/testdriverai --skill testdriver-cache -a codex -y
Cursor
$ npx skills add testdriverai/testdriverai --skill testdriver-cache -a cursor -y
Gemini CLI
$ npx skills add testdriverai/testdriverai --skill testdriver-cache -a gemini-cli -y
GitHub Copilot
$ npx skills add testdriverai/testdriverai --skill testdriver-cache -a github-copilot -y
OpenCode
$ npx skills add testdriverai/testdriverai --skill testdriver-cache -a opencode -y
Windsurf
$ npx skills add testdriverai/testdriverai --skill testdriver-cache -a windsurf -y
name: testdriver:cache description: Speed up tests with screenshot-based caching
<!-- Generated from cache.mdx. DO NOT EDIT. -->
The cache system makes repeated test runs faster. It compares screenshots to cached results. When the screen did not change much, TestDriver uses the cached element positions again. It does not make an AI call.
The cache works at two levels:
1. On `find()`, the SDK sends the present screenshot and the cache metadata to the API. 2. The API compares the screenshot against the cached results for the same `cacheKey`. 3. If the screen pixel diff is in the `screen` threshold AND the element template match is more than the `element` threshold, TestDriver returns the cached position. 4. If not, TestDriver makes a new AI call and caches the result.
flowchart LR
A[Screenshot + cacheKey] --> B{Screen Diff\n< threshold?}
B -- Yes --> C{Template\nMatch OK?}
C -- Yes --> D[Return cached position]
B -- No --> E[AI Call - fresh]
C -- No --> F[AI Call - fresh]const testdriver = new TestDriver({
cache: {
enabled: true,
thresholds: {
find: {
screen: 0.05, // 5% pixel diff allowed (default)
element: 0.8, // 80% OpenCV correlation required (default)
},
assert: 0.05, // 5% pixel diff for assertions (default)
},
},
cacheKey: 'my-custom-key', // overrides auto-generated key
});<ParamField path="cache" type="CacheConfig | false"> Cache configuration object, or `false` to disable entirely.
<Expandable title="properties"> <ParamField path="enabled" type="boolean" default={true}> Enable or disable the cache system. Requires a valid `cacheKey` to actually activate. </ParamField>
<ParamField path="thresholds" type="CacheThresholds"> Threshold configuration for different command types.
<Expandable title="properties"> <ParamField path="find" type="FindCacheThresholds"> Thresholds for `find()` and `findAll()`.
<Expandable title="properties"> <ParamField path="screen" type="number" default={0.05}> Maximum pixel diff percentage allowed between the current screenshot and the cached screenshot. Lower values require a closer match. Range: `0` to `1`. </ParamField>
<ParamField path="element" type="number" default={0.8}> Minimum OpenCV template matching correlation required for the cached element crop. Higher values require a closer match. Range: `0` to `1`. Only used for `find()`, not `findAll()`. </ParamField> </Expandable> </ParamField>
<ParamField path="assert" type="number" default={0.05}> Maximum pixel diff allowed for assertion cache hits. </ParamField> </Expandable> </ParamField> </Expandable> </ParamField>
<ParamField path="cacheKey" type="string"> Unique key for cache lookups. If not provided, an auto-generated key is created from a SHA-256 hash of the calling test file (first 16 hex characters). The cache key changes automatically when your test file changes, providing automatic cache invalidation. </ParamField>
// Via constructor
const testdriver = new TestDriver({ cache: false });
// Via environment variable
// TD_NO_CACHE=true npx vitest runWhen cache is disabled, all thresholds are set to `-1` internally, causing the API to skip cache lookups.
Override cache thresholds for individual commands:
// Stricter screen matching for this specific find
const el = await testdriver.find('submit button', {
cache: {
thresholds: { screen: 0.01, element: 0.95 },
},
});
// Custom cache key for a specific assertion
await testdriver.assert('dashboard loaded', {
cache: { threshold: 0.01 },
cacheKey: 'dashboard-check',
});Thresholds are resolved in priority order (highest wins):
| Priority | Source | Example | |----------|--------|---------| | 1 (highest) | Per-command option | `find(desc, { cache: { thresholds: { screen: 0.1 } } })` | | 2 | Legacy number argument | `find(desc, 0.1)` | | 3 | Global constructor config | `new TestDriver({ cache: { thresholds: { find: { screen: 0.1 } } } })` | | 4 (lowest) | Hard-coded defaults | `screen: 0.05`, `element: 0.8`, `assert: 0.05` |
When you don't specify a `cacheKey`, the SDK automatically generates one:
1. Walks the call stack to find your test file 2. Reads the file content 3. Computes a **SHA-256 hash** of the content 4. Uses the **first 16 hex characters** as the cache key
This means:
// Auto-generated cache key from test file hash
const testdriver = new TestDriver();
// cacheKey = "a3f2b1c4d5e6f7a8" (auto)
// Manual override
const testdriver = new TestDriver({ cacheKey: 'login-test-v2' });Element cache validation uses OpenCV's normalized cross-correlation coefficient (`TM_CCOEFF_NORMED`) to verify that the cached element is still visible at the expected position.
**Algorithm:** 1. Load the cached element crop (needle) and current screenshot (haystack) 2. Run `cv.matchTemplate()` with `TM_CCOEFF_NORMED` 3. Binary threshold at the configured element threshold 4. Find contours to extract match positions 5. Return matches with `{ x, y, width, height, centerX, centerY }`
**Scale factors tried:** `[1, 0.5, 2, 0.75, 1.25, 1.5]` **Thres
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