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🤖 feat(Anthropic): Claude 3 & Vision Support (#1984)
* chore: bump anthropic SDK * chore: update anthropic config settings (fileSupport, default models) * feat: anthropic multi modal formatting * refactor: update vision models and use endpoint specific max long side resizing * feat(anthropic): multimodal messages, retry logic, and messages payload * chore: add more safety to trimming content due to whitespace error for assistant messages * feat(anthropic): token accounting and resending multiple images in progress * chore: bump data-provider * feat(anthropic): resendImages feature * chore: optimize Edit/Ask controllers, switch model back to req model * fix: false positive of invalid model * refactor(validateVisionModel): use object as arg, pass in additional/available models * refactor(validateModel): use helper function, `getModelsConfig` * feat: add modelsConfig to endpointOption so it gets passed to all clients, use for properly validating vision models * refactor: initialize default vision model and make sure it's available before assigning it * refactor(useSSE): avoid resetting model if user selected a new model between request and response * feat: show rate in transaction logging * fix: return tokenCountMap regardless of payload shape
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28 changed files with 599 additions and 115 deletions
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@ -241,6 +241,8 @@ export const defaultModels = {
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'code-bison-32k',
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],
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[EModelEndpoint.anthropic]: [
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'claude-3-opus-20240229',
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'claude-3-sonnet-20240229',
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'claude-2.1',
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'claude-2',
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'claude-1.2',
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@ -301,21 +303,31 @@ export const modularEndpoints = new Set<EModelEndpoint | string>([
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export const supportsBalanceCheck = {
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[EModelEndpoint.openAI]: true,
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[EModelEndpoint.anthropic]: true,
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[EModelEndpoint.azureOpenAI]: true,
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[EModelEndpoint.gptPlugins]: true,
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[EModelEndpoint.custom]: true,
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};
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export const visionModels = ['gpt-4-vision', 'llava-13b', 'gemini-pro-vision'];
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export const visionModels = ['gpt-4-vision', 'llava-13b', 'gemini-pro-vision', 'claude-3'];
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export function validateVisionModel(
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model: string | undefined,
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additionalModels: string[] | undefined = [],
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) {
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export function validateVisionModel({
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model,
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additionalModels = [],
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availableModels,
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}: {
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model: string;
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additionalModels?: string[];
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availableModels?: string[];
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}) {
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if (!model) {
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return false;
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}
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if (availableModels && !availableModels.includes(model)) {
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return false;
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}
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return visionModels.concat(additionalModels).some((visionModel) => model.includes(visionModel));
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}
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@ -8,6 +8,7 @@ export const supportsFiles = {
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[EModelEndpoint.google]: true,
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[EModelEndpoint.assistants]: true,
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[EModelEndpoint.azureOpenAI]: true,
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[EModelEndpoint.anthropic]: true,
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[EModelEndpoint.custom]: true,
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};
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@ -391,6 +391,7 @@ export const anthropicSchema = tConversationSchema
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maxOutputTokens: true,
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topP: true,
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topK: true,
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resendImages: true,
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})
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.transform((obj) => ({
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...obj,
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@ -401,6 +402,7 @@ export const anthropicSchema = tConversationSchema
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maxOutputTokens: obj.maxOutputTokens ?? 4000,
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topP: obj.topP ?? 0.7,
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topK: obj.topK ?? 5,
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resendImages: obj.resendImages ?? false,
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}))
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.catch(() => ({
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model: 'claude-1',
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@ -410,6 +412,7 @@ export const anthropicSchema = tConversationSchema
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maxOutputTokens: 4000,
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topP: 0.7,
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topK: 5,
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resendImages: false,
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}));
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export const chatGPTBrowserSchema = tConversationSchema
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@ -568,6 +571,7 @@ export const compactAnthropicSchema = tConversationSchema
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maxOutputTokens: true,
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topP: true,
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topK: true,
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resendImages: true,
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})
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.transform((obj) => {
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const newObj: Partial<TConversation> = { ...obj };
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@ -583,6 +587,9 @@ export const compactAnthropicSchema = tConversationSchema
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if (newObj.topK === 5) {
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delete newObj.topK;
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}
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if (newObj.resendImages !== true) {
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delete newObj.resendImages;
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}
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return removeNullishValues(newObj);
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})
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