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* ⚡ feat: Add Gemini 3.6 Flash and Gemini 3.5 Flash-Lite Support Adds first-class support for Google's Gemini 3.6 Flash (`gemini-3.6-flash`) and Gemini 3.5 Flash-Lite (`gemini-3.5-flash-lite`) for both the Gemini API (AI Studio) and Google Cloud/Vertex integrations. - Context window (1M) in googleModels; API + cache pricing in tx.ts. - Model dropdown (config.ts) and GOOGLE_MODELS examples for both integrations. - Generalize the Gemini 3.5 Flash overrides into a flash-family handler that strips deprecated temperature/topP/topK and applies each model's default thinking level (3.6 Flash: medium, 3.5 Flash-Lite: minimal), with longest-prefix resolution so flash-lite does not collide with flash. Ref: https://ai.google.dev/gemini-api/docs/latest-model#api-changes-and-parameter-updates * 🩹 fix: Strip unsupported penalty params for Gemini Flash family Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash reject presencePenalty/ frequencyPenalty with HTTP 400 ("Penalty is not enabled for this model", verified live). These pass through llmConfig via knownGoogleParams, so add them to the flash-family strip list alongside the deprecated sampling params. * 🩹 fix: Strip Flash-blocked params on custom Google endpoint path For custom OpenAI-compatible endpoints with defaultParamsEndpoint=google, getOpenAIConfig strips Flash-blocked params via getGoogleConfig but then transformToOpenAIConfig re-applies raw addParams, undoing the strip. Filter addParams through stripGeminiFlashBlockedParams before the transform so the deprecated sampling / rejected penalty params cannot reach the provider. * 🔧 chore: Update sharp package to version 0.35.3 in package-lock.json, api/package.json, and packages/api/package.json * 🔧 chore: Update dependencies in package-lock.json to latest versions for @google/genai (2.13.0), @hono/node-server (1.19.14), fast-uri (3.1.4), hono (4.12.31), and svgo (2.8.3) * 🔧 chore: Update dependencies in package.json and package-lock.json for @librechat/agents (3.2.67), @opentelemetry/sdk-node (0.221.0), and add new dependencies for @opentelemetry/propagator-jaeger (2.10.0) and protobufjs (7.6.5). Update monaco-editor version in client package.json to 0.56.0. * 🔧 chore: Upgrade turbo package to version 2.10.5 in package.json and package-lock.json, and update schema reference in turbo.json * 🩹 fix: Resolve CI breakage from bundled dependency bumps Not related to the Gemini models — both are fallout from the dep bumps on this branch: - monaco-editor 0.56 changed IEditorHoverOptions.enabled from boolean to 'on' | 'off' | 'onKeyboardModifier'; update ArtifactCodeEditor to match (mirrors the sibling occurrencesHighlight/matchBrackets pattern). - sharp 0.35.3 fails resize+encode on a degenerate 1x1 PNG (vipspng: libpng read error); the provider-file e2e fixture was 1x1, so use a 16x16 PNG. Normal images are unaffected (verified 64x64 resize/encode/jpeg all OK). * 📝 docs: Correct e2e image-fixture comment (bad IDAT CRC, not a sharp bug) Root cause was the old 1x1 fixture's corrupt IDAT CRC (verified: IHDR/IEND CRC OK, IDAT CRC BAD), which sharp 0.35.3's stricter libpng correctly rejects. Not a dimension/resize edge case and not a sharp bug; comment now reflects that. |
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| .. | ||
| config | ||
| fixtures/deployment-skills/e2e-deployment-skill | ||
| recordings | ||
| setup | ||
| specs | ||
| config.local.example.ts | ||
| jestSetup.js | ||
| playwright.config.a11y.ts | ||
| playwright.config.local.ts | ||
| playwright.config.mock.ts | ||
| playwright.config.real.ts | ||
| playwright.config.ts | ||
| README.md | ||
| types.ts | ||
LibreChat e2e
The mock e2e profile is the safest default for generated tests. It starts LibreChat with e2e/config/librechat.e2e.yaml, injects an in-process fake LLM (via LIBRECHAT_TEST_RUN_HOOK), creates an authenticated e2e user, and avoids real provider credentials.
Recording Tests
Use Playwright codegen when you want to turn an exploratory browser session into a draft test:
npm run e2e:record
That command builds the app, starts the LibreChat test server (with an in-process fake LLM) when needed, writes e2e/storageState.json, and opens Playwright codegen at /c/new. The npm script uses http://localhost:3333 so it does not collide with a normal dev server on 3080. Raw recordings are written to e2e/recordings/ and ignored by git.
For a real local LibreChat config instead of the mock profile:
npm run e2e:record:local
Useful direct options:
node e2e/setup/record.js --url=http://localhost:3080/c/new
node e2e/setup/record.js --profile=local --no-output
node e2e/setup/record.js --auth-only
node e2e/setup/record.js --output=e2e/recordings/settings-draft.spec.ts
LLM-Assisted Loop
- Start
npm run e2e:record. - Let the LLM use Computer Use to operate the headed Playwright browser.
- Stop codegen after the workflow is captured.
- Move the useful parts from
e2e/recordings/into a committed spec undere2e/specs/mock/. - Replace brittle generated selectors with role, label, text, or
data-testidlocators. - Add assertions that prove the behavior, not just the clicked path.
- Run the finished spec with
npm run e2e:mock -- <spec name>.
Generated recordings are a draft, not the final test. The committed version should use the shared helpers in e2e/specs/mock/helpers.ts where possible, wait on network or visible UI state instead of fixed sleeps, and keep test data deterministic.