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📸 feat: Gemini vision, Improved Logs and Multi-modal Handling (#1368)

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* feat: add GOOGLE_MODELS env var

* feat: add gemini vision support

* refactor(GoogleClient): adjust clientOptions handling depending on model

* fix(logger): fix redact logic and redact errors only

* fix(GoogleClient): do not allow non-multiModal messages when gemini-pro-vision is selected

* refactor(OpenAIClient): use `isVisionModel` client property to avoid calling validateVisionModel multiple times

* refactor: better debug logging by correctly traversing, redacting sensitive info, and logging condensed versions of long values

* refactor(GoogleClient): allow response errors to be thrown/caught above client handling so user receives meaningful error message
debug orderedMessages, parentMessageId, and buildMessages result

* refactor(AskController): use model from client.modelOptions.model when saving intermediate messages, which requires for the progress callback to be initialized after the client is initialized

* feat(useSSE): revert to previous model if the model was auto-switched by backend due to message attachments

* docs: update with google updates, notes about Gemini Pro Vision

* fix: redis should not be initialized without USE_REDIS and increase max listeners to 20
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Danny Avila 2023-12-16 20:45:27 -05:00 • committed by GitHub
parent 676f133545
commit 0c326797dd
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21 changed files with 356 additions and 210 deletions
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4
packages/data-provider/src/schemas.ts
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@ -25,6 +25,7 @@ export const defaultEndpoints: EModelEndpoint[] = [
export const defaultModels = {
[EModelEndpoint.google]: [
'gemini-pro',
'gemini-pro-vision',
'chat-bison',
'chat-bison-32k',
'codechat-bison',
@ -135,6 +136,7 @@ export const modularEndpoints = new Set<EModelEndpoint | string>([
export const supportsFiles = {
[EModelEndpoint.openAI]: true,
[EModelEndpoint.google]: true,
[EModelEndpoint.assistant]: true,
};
@ -144,7 +146,7 @@ export const supportsBalanceCheck = {
[EModelEndpoint.gptPlugins]: true,
};
export const visionModels = ['gpt-4-vision', 'llava-13b'];
export const visionModels = ['gpt-4-vision', 'llava-13b', 'gemini-pro-vision'];
export const eModelEndpointSchema = z.nativeEnum(EModelEndpoint);