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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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@ -3,6 +3,7 @@ const {
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FileSources,
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Capabilities,
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EModelEndpoint,
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EImageOutputType,
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defaultSocialLogins,
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validateAzureGroups,
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mapModelToAzureConfig,
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@ -181,6 +182,7 @@ const AppService = async (app) => {
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fileConfig: config?.fileConfig,
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interface: config?.interface,
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secureImageLinks: config?.secureImageLinks,
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imageOutputType: config?.imageOutputType?.toLowerCase() ?? EImageOutputType.PNG,
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paths,
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...endpointLocals,
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};
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@ -204,6 +206,12 @@ const AppService = async (app) => {
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`,
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);
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}
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if (process.env.GOOGLE_API_KEY) {
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logger.warn(
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'The `GOOGLE_API_KEY` environment variable is deprecated.\nPlease use the `GOOGLE_SEARCH_API_KEY` environment variable instead.',
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);
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}
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};
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module.exports = AppService;
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