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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 ⚡ feat: Add Gemini 3.6 Flash and Gemini 3.5 Flash-Lite Support (#14369) 2026-07-21 21:14:11 -04:00
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.