🚀 fix: Resolve Google Client Issues, CDN Screenshots, Update Models (#5703)

* 🤖 refactor: streamline model selection logic for title model in GoogleClient

* refactor: add options for empty object schemas in convertJsonSchemaToZod

* refactor: add utility function to check for empty object schemas in convertJsonSchemaToZod

* fix: Google MCP Tool errors, and remove Object Unescaping as Google fixed this

* fix: google safetySettings

* feat: add safety settings exclusion via GOOGLE_EXCLUDE_SAFETY_SETTINGS environment variable

* fix: rename environment variable for console JSON string length

* fix: disable portal for dropdown in ExportModal component

* fix: screenshot functionality to use image placeholder for remote images

* feat: add visionMode property to BaseClient and initialize in GoogleClient to fix resendFiles issue

* fix: enhance formatMessages to include image URLs in message content for Vertex AI

* fix: safety settings for titleChatCompletion

* fix: remove deprecated model assignment in GoogleClient and streamline title model retrieval

* fix: remove unused image preloading logic in ScreenshotContext

* chore: update default google models to latest models shared by vertex ai and gen ai

* refactor: enhance Google error messaging

* fix: update token values and model limits for Gemini models

* ci: fix model matching

* chore: bump version of librechat-data-provider to 0.7.699
This commit is contained in:
Danny Avila 2025-02-06 18:13:18 -05:00 committed by GitHub
parent 33e60c379b
commit 63afb317c6
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GPG key ID: B5690EEEBB952194
19 changed files with 939 additions and 720 deletions

View file

@ -33,7 +33,7 @@ type TExpiredKey = {
endpoint: string;
};
type TInputLength = {
type TGenericError = {
info: string;
};
@ -49,10 +49,14 @@ const errorMessages = {
const { expiredAt, endpoint } = json;
return localize('com_error_expired_user_key', endpoint, expiredAt);
},
[ErrorTypes.INPUT_LENGTH]: (json: TInputLength, localize: LocalizeFunction) => {
[ErrorTypes.INPUT_LENGTH]: (json: TGenericError, localize: LocalizeFunction) => {
const { info } = json;
return localize('com_error_input_length', info);
},
[ErrorTypes.GOOGLE_ERROR]: (json: TGenericError) => {
const { info } = json;
return info;
},
[ViolationTypes.BAN]:
'Your account has been temporarily banned due to violations of our service.',
invalid_api_key:

View file

@ -94,7 +94,7 @@ export default function ExportModal({
<Label htmlFor="type" className="text-left text-sm font-medium">
{localize('com_nav_export_type')}
</Label>
<Dropdown value={type} onChange={_setType} options={typeOptions} />
<Dropdown value={type} onChange={_setType} options={typeOptions} portal={false} />
</div>
</div>
<div className="grid w-full gap-6 sm:grid-cols-2">

View file

@ -12,7 +12,7 @@ export const useScreenshot = () => {
const { ref } = useContext(ScreenshotContext);
const { theme } = useContext(ThemeContext);
const takeScreenShot = async (node: HTMLElement) => {
const takeScreenShot = async (node?: HTMLElement) => {
if (!node) {
throw new Error('You should provide correct html node.');
}
@ -22,7 +22,13 @@ export const useScreenshot = () => {
isDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
}
const backgroundColor = isDark ? '#171717' : 'white';
const canvas = await toCanvas(node);
const canvas = await toCanvas(node, {
backgroundColor,
imagePlaceholder:
'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+ip1sAAAAASUVORK5CYII=',
});
const croppedCanvas = document.createElement('canvas');
const croppedCanvasContext = croppedCanvas.getContext('2d') as CanvasRenderingContext2D;
// init data
@ -35,9 +41,9 @@ export const useScreenshot = () => {
croppedCanvas.height = cropHeight;
croppedCanvasContext.fillStyle = backgroundColor;
croppedCanvasContext?.fillRect(0, 0, cropWidth, cropHeight);
croppedCanvasContext.fillRect(0, 0, cropWidth, cropHeight);
croppedCanvasContext?.drawImage(canvas, cropPositionLeft, cropPositionTop);
croppedCanvasContext.drawImage(canvas, cropPositionLeft, cropPositionTop);
const base64Image = croppedCanvas.toDataURL('image/png', 1);