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LibreChat/e2e
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Danny Avila cbaa2fe2e3
⚡ feat: Add Gemini 3.6 Flash and Gemini 3.5 Flash-Lite Support (#14369) 
* ⚡ 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.
2026-07-21 21:14:11 -04:00
..
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

README.md

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

  1. Start npm run e2e:record.
  2. Let the LLM use Computer Use to operate the headed Playwright browser.
  3. Stop codegen after the workflow is captured.
  4. Move the useful parts from e2e/recordings/ into a committed spec under e2e/specs/mock/.
  5. Replace brittle generated selectors with role, label, text, or data-testid locators.
  6. Add assertions that prove the behavior, not just the clicked path.
  7. 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.