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🤖 feat: Gemini 1.5 Support (+Vertex AI) (#2383)

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* 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
This commit is contained in:
Danny Avila 2024-04-16 08:32:40 -04:00 • committed by GitHub
parent fce7246ac1
commit 9d854dac07
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37 changed files with 1030 additions and 258 deletions
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16
api/server/services/Config/loadCustomConfig.js
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@ -1,5 +1,5 @@
const path = require('path');
const { CacheKeys, configSchema } = require('librechat-data-provider');
const { CacheKeys, configSchema, EImageOutputType } = require('librechat-data-provider');
const getLogStores = require('~/cache/getLogStores');
const loadYaml = require('~/utils/loadYaml');
const { logger } = require('~/config');
@ -55,6 +55,20 @@ async function loadCustomConfig() {
}
const result = configSchema.strict().safeParse(customConfig);
if (result?.error?.errors?.some((err) => err?.path && err.path?.includes('imageOutputType'))) {
throw new Error(
`
Please specify a correct \`imageOutputType\` value (case-sensitive).
The available options are:
- ${EImageOutputType.JPEG}
- ${EImageOutputType.PNG}
- ${EImageOutputType.WEBP}
Refer to the latest config file guide for more information:
https://docs.librechat.ai/install/configuration/custom_config.html`,
);
}
if (!result.success) {
i === 0 && logger.error(`Invalid custom config file at ${configPath}`, result.error);
i === 0 && i++;