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🤖 feat: Gemini 1.5 Support (+Vertex AI) (#2383)
* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload
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@ -18,13 +18,15 @@ router.post('/', upload.single('input'), async (req, res) => {
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}
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const fileStrategy = req.app.locals.fileStrategy;
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const webPBuffer = await resizeAvatar({
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const desiredFormat = req.app.locals.imageOutputType;
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const resizedBuffer = await resizeAvatar({
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userId,
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input,
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desiredFormat,
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});
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const { processAvatar } = getStrategyFunctions(fileStrategy);
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const url = await processAvatar({ buffer: webPBuffer, userId, manual });
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const url = await processAvatar({ buffer: resizedBuffer, userId, manual });
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res.json({ url });
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} catch (error) {
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