mirror of
https://github.com/danny-avila/LibreChat.git
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* fix: agent initialization, add `collectedUsage` handling * style: improve side panel styling * refactor(loadAgent): Optimize order agent project ID retrieval * feat: code execution * fix: typing issues * feat: ExecuteCode content part * refactor: use local state for default collapsed state of analysis content parts * fix: code parsing in ExecuteCode component * chore: bump agents package, export loadAuthValues * refactor: Update handleTools.js to use EnvVar for code execution tool authentication * WIP * feat: download code outputs * fix(useEventHandlers): type issues * feat: backend handling for code outputs * Refactor: Remove console.log statement in Part.tsx * refactor: add attachments to TMessage/messageSchema * WIP: prelim handling for code outputs * feat: attachments rendering * refactor: improve attachments rendering * fix: attachments, nullish edge case, handle attachments from event stream, bump agents package * fix filename download * fix: tool assignment for 'run code' on agent creation * fix: image handling by adding attachments * refactor: prevent agent creation without provider/model * refactor: remove unnecessary space in agent creation success message * refactor: select first model if selecting provider from empty on form * fix: Agent avatar bug * fix: `defaultAgentFormValues` causing boolean typing issue and typeerror * fix: capabilities counting as tools, causing duplication of them * fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation) * chore: bump @librechat/agents dependency to version 1.6.9 * feat: bedrock agents * feat: new Agents icon * feat: agent titling * feat: agent landing * refactor: allow sharing agent globally only if user is admin or author * feat: initial AgentPanelSkeleton * feat: AgentPanelSkeleton * feat: collaborative agents * chore: add potential authorName as part of schema * chore: Remove unnecessary console.log statement * WIP: agent model parameters * chore: ToolsDialog typing and tool related localization chnages * refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper * chore: add back tools * feat: Agent knowledge files upload * refactor: better verbiage for disabled knowledge * chore: debug logs for file deletions * chore: debug logs for file deletions * feat: upload/delete agent knowledge/file-search files * feat: file search UI for agents * feat: first pass, file search tool * chore: update default agent capabilities and info
583 lines
15 KiB
TypeScript
583 lines
15 KiB
TypeScript
import {
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ImageDetail,
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EModelEndpoint,
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openAISettings,
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BedrockProviders,
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anthropicSettings,
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} from 'librechat-data-provider';
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import type { SettingsConfiguration, SettingDefinition } from 'librechat-data-provider';
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// Base definitions
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const baseDefinitions: Record<string, SettingDefinition> = {
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model: {
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key: 'model',
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label: 'com_ui_model',
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labelCode: true,
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type: 'string',
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component: 'dropdown',
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optionType: 'model',
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selectPlaceholder: 'com_ui_select_model',
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searchPlaceholder: 'com_ui_select_search_model',
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searchPlaceholderCode: true,
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selectPlaceholderCode: true,
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columnSpan: 4,
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},
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temperature: {
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key: 'temperature',
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label: 'com_endpoint_temperature',
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labelCode: true,
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description: 'com_endpoint_openai_temp',
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descriptionCode: true,
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type: 'number',
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component: 'slider',
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optionType: 'model',
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columnSpan: 4,
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},
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topP: {
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key: 'topP',
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label: 'com_endpoint_top_p',
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labelCode: true,
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description: 'com_endpoint_anthropic_topp',
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descriptionCode: true,
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type: 'number',
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component: 'slider',
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optionType: 'model',
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columnSpan: 4,
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},
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stop: {
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key: 'stop',
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label: 'com_endpoint_stop',
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labelCode: true,
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description: 'com_endpoint_openai_stop',
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descriptionCode: true,
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placeholder: 'com_endpoint_stop_placeholder',
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placeholderCode: true,
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type: 'array',
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default: [],
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component: 'tags',
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optionType: 'conversation',
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minTags: 0,
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maxTags: 4,
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},
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imageDetail: {
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key: 'imageDetail',
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label: 'com_endpoint_plug_image_detail',
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labelCode: true,
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description: 'com_endpoint_openai_detail',
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descriptionCode: true,
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type: 'enum',
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default: ImageDetail.auto,
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component: 'slider',
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options: [ImageDetail.low, ImageDetail.auto, ImageDetail.high],
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optionType: 'conversation',
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columnSpan: 2,
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},
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};
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const createDefinition = (
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base: Partial<SettingDefinition>,
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overrides: Partial<SettingDefinition>,
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): SettingDefinition => {
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return { ...base, ...overrides } as SettingDefinition;
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};
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const librechat: Record<string, SettingDefinition> = {
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modelLabel: {
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key: 'modelLabel',
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label: 'com_endpoint_custom_name',
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labelCode: true,
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type: 'string',
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default: '',
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component: 'input',
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placeholder: 'com_endpoint_openai_custom_name_placeholder',
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placeholderCode: true,
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optionType: 'conversation',
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},
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maxContextTokens: {
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key: 'maxContextTokens',
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label: 'com_endpoint_context_tokens',
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labelCode: true,
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type: 'number',
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component: 'input',
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placeholder: 'com_nav_theme_system',
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placeholderCode: true,
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description: 'com_endpoint_context_info',
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descriptionCode: true,
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optionType: 'model',
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columnSpan: 2,
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},
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resendFiles: {
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key: 'resendFiles',
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label: 'com_endpoint_plug_resend_files',
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labelCode: true,
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description: 'com_endpoint_openai_resend_files',
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descriptionCode: true,
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type: 'boolean',
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default: true,
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component: 'switch',
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optionType: 'conversation',
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showDefault: false,
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columnSpan: 2,
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},
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promptPrefix: {
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key: 'promptPrefix',
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label: 'com_endpoint_prompt_prefix',
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labelCode: true,
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type: 'string',
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default: '',
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component: 'textarea',
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placeholder: 'com_endpoint_openai_prompt_prefix_placeholder',
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placeholderCode: true,
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optionType: 'model',
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},
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};
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const openAIParams: Record<string, SettingDefinition> = {
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chatGptLabel: {
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...librechat.modelLabel,
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key: 'chatGptLabel',
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},
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promptPrefix: librechat.promptPrefix,
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temperature: createDefinition(baseDefinitions.temperature, {
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default: openAISettings.temperature.default,
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range: {
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min: openAISettings.temperature.min,
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max: openAISettings.temperature.max,
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step: openAISettings.temperature.step,
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},
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}),
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top_p: createDefinition(baseDefinitions.topP, {
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key: 'top_p',
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default: openAISettings.top_p.default,
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range: {
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min: openAISettings.top_p.min,
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max: openAISettings.top_p.max,
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step: openAISettings.top_p.step,
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},
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}),
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frequency_penalty: {
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key: 'frequency_penalty',
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label: 'com_endpoint_frequency_penalty',
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labelCode: true,
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description: 'com_endpoint_openai_freq',
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descriptionCode: true,
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type: 'number',
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default: openAISettings.frequency_penalty.default,
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range: {
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min: openAISettings.frequency_penalty.min,
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max: openAISettings.frequency_penalty.max,
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step: openAISettings.frequency_penalty.step,
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},
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component: 'slider',
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optionType: 'model',
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columnSpan: 4,
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},
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presence_penalty: {
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key: 'presence_penalty',
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label: 'com_endpoint_presence_penalty',
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labelCode: true,
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description: 'com_endpoint_openai_pres',
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descriptionCode: true,
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type: 'number',
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default: openAISettings.presence_penalty.default,
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range: {
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min: openAISettings.presence_penalty.min,
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max: openAISettings.presence_penalty.max,
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step: openAISettings.presence_penalty.step,
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},
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component: 'slider',
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optionType: 'model',
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columnSpan: 4,
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},
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max_tokens: {
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key: 'max_tokens',
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label: 'com_endpoint_max_output_tokens',
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labelCode: true,
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type: 'number',
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component: 'input',
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description: 'com_endpoint_openai_max_tokens',
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descriptionCode: true,
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placeholder: 'com_nav_theme_system',
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placeholderCode: true,
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optionType: 'model',
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columnSpan: 2,
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},
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};
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const anthropic: Record<string, SettingDefinition> = {
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maxOutputTokens: {
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key: 'maxOutputTokens',
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label: 'com_endpoint_max_output_tokens',
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labelCode: true,
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type: 'number',
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component: 'input',
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description: 'com_endpoint_anthropic_maxoutputtokens',
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descriptionCode: true,
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placeholder: 'com_nav_theme_system',
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placeholderCode: true,
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range: {
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min: anthropicSettings.maxOutputTokens.min,
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max: anthropicSettings.maxOutputTokens.max,
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step: anthropicSettings.maxOutputTokens.step,
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},
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optionType: 'model',
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columnSpan: 2,
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},
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temperature: createDefinition(baseDefinitions.temperature, {
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default: anthropicSettings.temperature.default,
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range: {
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min: anthropicSettings.temperature.min,
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max: anthropicSettings.temperature.max,
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step: anthropicSettings.temperature.step,
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},
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}),
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topP: createDefinition(baseDefinitions.topP, {
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default: anthropicSettings.topP.default,
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range: {
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min: anthropicSettings.topP.min,
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max: anthropicSettings.topP.max,
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step: anthropicSettings.topP.step,
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},
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}),
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topK: {
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key: 'topK',
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label: 'com_endpoint_top_k',
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labelCode: true,
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description: 'com_endpoint_anthropic_topk',
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descriptionCode: true,
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type: 'number',
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default: anthropicSettings.topK.default,
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range: {
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min: anthropicSettings.topK.min,
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max: anthropicSettings.topK.max,
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step: anthropicSettings.topK.step,
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},
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component: 'slider',
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optionType: 'model',
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columnSpan: 4,
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},
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promptCache: {
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key: 'promptCache',
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label: 'com_endpoint_prompt_cache',
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labelCode: true,
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description: 'com_endpoint_anthropic_prompt_cache',
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descriptionCode: true,
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type: 'boolean',
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default: true,
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component: 'switch',
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optionType: 'conversation',
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showDefault: false,
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columnSpan: 2,
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},
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};
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const bedrock: Record<string, SettingDefinition> = {
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system: {
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key: 'system',
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label: 'com_endpoint_prompt_prefix',
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labelCode: true,
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type: 'string',
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default: '',
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component: 'textarea',
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placeholder: 'com_endpoint_openai_prompt_prefix_placeholder',
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placeholderCode: true,
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optionType: 'model',
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},
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region: {
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key: 'region',
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type: 'string',
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label: 'com_ui_region',
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labelCode: true,
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component: 'combobox',
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optionType: 'conversation',
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selectPlaceholder: 'com_ui_select_region',
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searchPlaceholder: 'com_ui_select_search_region',
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searchPlaceholderCode: true,
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selectPlaceholderCode: true,
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columnSpan: 2,
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},
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maxTokens: {
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key: 'maxTokens',
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label: 'com_endpoint_max_output_tokens',
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labelCode: true,
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type: 'number',
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component: 'input',
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placeholder: 'com_endpoint_anthropic_maxoutputtokens',
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placeholderCode: true,
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optionType: 'model',
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columnSpan: 2,
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},
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temperature: createDefinition(baseDefinitions.temperature, {
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default: 1,
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range: { min: 0, max: 1, step: 0.01 },
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}),
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topK: createDefinition(anthropic.topK, {
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range: { min: 0, max: 500, step: 1 },
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}),
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topP: createDefinition(baseDefinitions.topP, {
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default: 0.999,
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range: { min: 0, max: 1, step: 0.01 },
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}),
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};
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const mistral: Record<string, SettingDefinition> = {
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temperature: createDefinition(baseDefinitions.temperature, {
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default: 0.7,
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range: { min: 0, max: 1, step: 0.01 },
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}),
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topP: createDefinition(baseDefinitions.topP, {
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range: { min: 0, max: 1, step: 0.01 },
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}),
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};
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const cohere: Record<string, SettingDefinition> = {
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temperature: createDefinition(baseDefinitions.temperature, {
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default: 0.3,
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range: { min: 0, max: 1, step: 0.01 },
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}),
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topP: createDefinition(baseDefinitions.topP, {
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default: 0.75,
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range: { min: 0.01, max: 0.99, step: 0.01 },
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}),
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};
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const meta: Record<string, SettingDefinition> = {
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temperature: createDefinition(baseDefinitions.temperature, {
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default: 0.5,
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range: { min: 0, max: 1, step: 0.01 },
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}),
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topP: createDefinition(baseDefinitions.topP, {
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default: 0.9,
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range: { min: 0, max: 1, step: 0.01 },
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}),
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};
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const openAI: SettingsConfiguration = [
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openAIParams.chatGptLabel,
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librechat.promptPrefix,
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librechat.maxContextTokens,
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openAIParams.max_tokens,
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openAIParams.temperature,
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openAIParams.top_p,
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openAIParams.frequency_penalty,
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openAIParams.presence_penalty,
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baseDefinitions.stop,
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librechat.resendFiles,
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baseDefinitions.imageDetail,
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];
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const openAICol1: SettingsConfiguration = [
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baseDefinitions.model as SettingDefinition,
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openAIParams.chatGptLabel,
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librechat.promptPrefix,
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librechat.maxContextTokens,
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];
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const openAICol2: SettingsConfiguration = [
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openAIParams.max_tokens,
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openAIParams.temperature,
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openAIParams.top_p,
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openAIParams.frequency_penalty,
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openAIParams.presence_penalty,
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baseDefinitions.stop,
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librechat.resendFiles,
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baseDefinitions.imageDetail,
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];
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const anthropicConfig: SettingsConfiguration = [
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librechat.modelLabel,
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librechat.promptPrefix,
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librechat.maxContextTokens,
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anthropic.maxOutputTokens,
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anthropic.temperature,
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anthropic.topP,
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anthropic.topK,
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librechat.resendFiles,
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anthropic.promptCache,
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];
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const anthropicCol1: SettingsConfiguration = [
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baseDefinitions.model as SettingDefinition,
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librechat.modelLabel,
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librechat.promptPrefix,
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];
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const anthropicCol2: SettingsConfiguration = [
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librechat.maxContextTokens,
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anthropic.maxOutputTokens,
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anthropic.temperature,
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anthropic.topP,
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anthropic.topK,
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librechat.resendFiles,
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anthropic.promptCache,
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];
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const bedrockAnthropic: SettingsConfiguration = [
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librechat.modelLabel,
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bedrock.system,
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librechat.maxContextTokens,
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bedrock.maxTokens,
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bedrock.temperature,
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bedrock.topP,
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bedrock.topK,
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baseDefinitions.stop,
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bedrock.region,
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librechat.resendFiles,
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];
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const bedrockMistral: SettingsConfiguration = [
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librechat.modelLabel,
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librechat.promptPrefix,
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librechat.maxContextTokens,
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bedrock.maxTokens,
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mistral.temperature,
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mistral.topP,
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bedrock.region,
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librechat.resendFiles,
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];
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const bedrockCohere: SettingsConfiguration = [
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librechat.modelLabel,
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librechat.promptPrefix,
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librechat.maxContextTokens,
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bedrock.maxTokens,
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cohere.temperature,
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cohere.topP,
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bedrock.region,
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librechat.resendFiles,
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];
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const bedrockGeneral: SettingsConfiguration = [
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librechat.modelLabel,
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librechat.promptPrefix,
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librechat.maxContextTokens,
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meta.temperature,
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meta.topP,
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bedrock.region,
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librechat.resendFiles,
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];
|
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const bedrockAnthropicCol1: SettingsConfiguration = [
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baseDefinitions.model as SettingDefinition,
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librechat.modelLabel,
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bedrock.system,
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baseDefinitions.stop,
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];
|
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|
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const bedrockAnthropicCol2: SettingsConfiguration = [
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librechat.maxContextTokens,
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bedrock.maxTokens,
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bedrock.temperature,
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bedrock.topP,
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bedrock.topK,
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bedrock.region,
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librechat.resendFiles,
|
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];
|
|
|
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const bedrockMistralCol1: SettingsConfiguration = [
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baseDefinitions.model as SettingDefinition,
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librechat.modelLabel,
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librechat.promptPrefix,
|
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];
|
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const bedrockMistralCol2: SettingsConfiguration = [
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librechat.maxContextTokens,
|
|
bedrock.maxTokens,
|
|
mistral.temperature,
|
|
mistral.topP,
|
|
bedrock.region,
|
|
librechat.resendFiles,
|
|
];
|
|
|
|
const bedrockCohereCol1: SettingsConfiguration = [
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baseDefinitions.model as SettingDefinition,
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librechat.modelLabel,
|
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librechat.promptPrefix,
|
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];
|
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|
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const bedrockCohereCol2: SettingsConfiguration = [
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librechat.maxContextTokens,
|
|
bedrock.maxTokens,
|
|
cohere.temperature,
|
|
cohere.topP,
|
|
bedrock.region,
|
|
librechat.resendFiles,
|
|
];
|
|
|
|
const bedrockGeneralCol1: SettingsConfiguration = [
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baseDefinitions.model as SettingDefinition,
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librechat.modelLabel,
|
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librechat.promptPrefix,
|
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];
|
|
|
|
const bedrockGeneralCol2: SettingsConfiguration = [
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librechat.maxContextTokens,
|
|
meta.temperature,
|
|
meta.topP,
|
|
bedrock.region,
|
|
librechat.resendFiles,
|
|
];
|
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|
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export const settings: Record<string, SettingsConfiguration | undefined> = {
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[EModelEndpoint.openAI]: openAI,
|
|
[EModelEndpoint.azureOpenAI]: openAI,
|
|
[EModelEndpoint.custom]: openAI,
|
|
[EModelEndpoint.anthropic]: anthropicConfig,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Anthropic}`]: bedrockAnthropic,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.MistralAI}`]: bedrockMistral,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Cohere}`]: bedrockCohere,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Meta}`]: bedrockGeneral,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.AI21}`]: bedrockGeneral,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Amazon}`]: bedrockGeneral,
|
|
};
|
|
|
|
const openAIColumns = {
|
|
col1: openAICol1,
|
|
col2: openAICol2,
|
|
};
|
|
|
|
const bedrockGeneralColumns = {
|
|
col1: bedrockGeneralCol1,
|
|
col2: bedrockGeneralCol2,
|
|
};
|
|
|
|
export const presetSettings: Record<
|
|
string,
|
|
| {
|
|
col1: SettingsConfiguration;
|
|
col2: SettingsConfiguration;
|
|
}
|
|
| undefined
|
|
> = {
|
|
[EModelEndpoint.openAI]: openAIColumns,
|
|
[EModelEndpoint.azureOpenAI]: openAIColumns,
|
|
[EModelEndpoint.custom]: openAIColumns,
|
|
[EModelEndpoint.anthropic]: {
|
|
col1: anthropicCol1,
|
|
col2: anthropicCol2,
|
|
},
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Anthropic}`]: {
|
|
col1: bedrockAnthropicCol1,
|
|
col2: bedrockAnthropicCol2,
|
|
},
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.MistralAI}`]: {
|
|
col1: bedrockMistralCol1,
|
|
col2: bedrockMistralCol2,
|
|
},
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Cohere}`]: {
|
|
col1: bedrockCohereCol1,
|
|
col2: bedrockCohereCol2,
|
|
},
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Meta}`]: bedrockGeneralColumns,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.AI21}`]: bedrockGeneralColumns,
|
|
[`${EModelEndpoint.bedrock}-${BedrockProviders.Amazon}`]: bedrockGeneralColumns,
|
|
};
|
|
|
|
export const agentSettings: Record<string, SettingsConfiguration | undefined> = Object.entries(
|
|
presetSettings,
|
|
).reduce((acc, [key, value]) => {
|
|
if (value) {
|
|
acc[key] = value.col2;
|
|
}
|
|
return acc;
|
|
}, {});
|