From 025dc85c59fd85674194c774fdb45219a212dda6 Mon Sep 17 00:00:00 2001 From: duanfuxiang Date: Mon, 17 Feb 2025 13:06:22 +0800 Subject: [PATCH] simple model config --- package.json | 2 + pnpm-lock.yaml | 9493 +++++++++++++++++ .../chat-view/AssistantMessageActions.tsx | 2 +- src/components/chat-view/Chat.tsx | 2 +- .../chat-view/chat-input/ModelSelect.tsx | 25 +- src/components/inline-edit/InlineEdit.tsx | 76 +- src/constants.ts | 135 +- src/contexts/LLMContext.tsx | 61 +- src/core/autocomplete/index.ts | 22 +- src/core/llm/anthropic.ts | 32 +- src/core/llm/base.ts | 6 +- src/core/llm/gemini.ts | 26 +- src/core/llm/groq.ts | 30 +- src/core/llm/infio.ts | 23 +- src/core/llm/manager.ts | 261 +- src/core/llm/ollama.ts | 34 +- src/core/llm/openai-compatible-provider.ts | 6 +- src/core/llm/openai.ts | 132 +- src/core/rag/embedding.ts | 172 +- src/core/rag/rag-engine.ts | 18 +- src/database/schema.ts | 2 +- src/main.ts | 9 +- src/settings/CustomSettings.tsx | 9 +- src/settings/FormComponents.tsx | 67 +- src/settings/ProviderModelsPicker.tsx | 314 + src/settings/ProviderSettings.tsx | 186 + src/settings/SettingTab.tsx | 6 +- src/types/chat.ts | 10 +- src/types/embedding.ts | 8 +- src/types/llm/model.ts | 19 + src/types/settings.ts | 188 +- src/utils/api.ts | 1202 +++ src/utils/price-calculator.ts | 60 +- styles.css | 168 +- 34 files changed, 12098 insertions(+), 708 deletions(-) create mode 100644 pnpm-lock.yaml create mode 100644 src/settings/ProviderModelsPicker.tsx create mode 100644 src/settings/ProviderSettings.tsx create mode 100644 src/utils/api.ts diff --git a/package.json b/package.json index bf845d9..63609bc 100644 --- a/package.json +++ b/package.json @@ -59,12 +59,14 @@ "@radix-ui/react-dialog": "^1.1.2", "@radix-ui/react-dropdown-menu": "^2.1.2", "@radix-ui/react-popover": "^1.1.2", + "@radix-ui/react-select": "^2.1.6", "@radix-ui/react-tooltip": "^1.1.3", "@tanstack/react-query": "^5.56.2", "clsx": "^2.1.1", "diff": "^7.0.0", 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a/src/components/chat-view/AssistantMessageActions.tsx b/src/components/chat-view/AssistantMessageActions.tsx index c76ddba..e01c9bb 100644 --- a/src/components/chat-view/AssistantMessageActions.tsx +++ b/src/components/chat-view/AssistantMessageActions.tsx @@ -62,7 +62,7 @@ function LLMResponesInfoButton({ message }: { message: ChatAssistantMessage }) { diff --git a/src/components/chat-view/Chat.tsx b/src/components/chat-view/Chat.tsx index 9f297b7..937abe3 100644 --- a/src/components/chat-view/Chat.tsx +++ b/src/components/chat-view/Chat.tsx @@ -279,7 +279,7 @@ const Chat = forwardRef((props, ref) => { const stream = await streamResponse( chatModel, { - model: chatModel.name, + model: chatModel.modelId, messages: requestMessages, stream: true, }, diff --git a/src/components/chat-view/chat-input/ModelSelect.tsx b/src/components/chat-view/chat-input/ModelSelect.tsx index d42647c..6596a6c 100644 --- a/src/components/chat-view/chat-input/ModelSelect.tsx +++ b/src/components/chat-view/chat-input/ModelSelect.tsx @@ -1,14 +1,18 @@ import * as DropdownMenu from '@radix-ui/react-dropdown-menu' import { ChevronDown, ChevronUp } from 'lucide-react' -import { useState } from 'react' +import { useMemo, useState } from 'react' import { useSettings } from '../../../contexts/SettingsContext' - +import { GetProviderModelIds } from "../../../utils/api" export function ModelSelect() { const { settings, setSettings } = useSettings() const [isOpen, setIsOpen] = useState(false) - const activeModels = settings.activeModels.filter((model) => model.enabled) + const[chatModelId, setChatModelId] = useState(settings.chatModelId) + + const currProviderModels = useMemo(() => { + return GetProviderModelIds(settings.chatModelProvider) + }, [settings.chatModelProvider]) return ( @@ -17,11 +21,7 @@ export function ModelSelect() { {isOpen ? : }
- { - activeModels.find( - (option) => option.name === settings.chatModelId, - )?.name - } + {chatModelId}
@@ -29,18 +29,19 @@ export function ModelSelect() {
    - {activeModels.map((model) => ( + {currProviderModels.map((modelId) => ( { + setChatModelId(modelId) setSettings({ ...settings, - chatModelId: model.name, + chatModelId: modelId, }) }} asChild > -
  • {model.name}
    • +
  • {modelId}
    •  ))}
diff --git a/src/components/inline-edit/InlineEdit.tsx b/src/components/inline-edit/InlineEdit.tsx index 987fb8f..e00cf06 100644 --- a/src/components/inline-edit/InlineEdit.tsx +++ b/src/components/inline-edit/InlineEdit.tsx @@ -1,10 +1,10 @@ import { MarkdownView, Plugin } from 'obsidian'; -import React, { useEffect, useRef, useState } from 'react'; +import React, { useEffect, useMemo, useRef, useState } from 'react'; import { APPLY_VIEW_TYPE } from '../../constants'; import LLMManager from '../../core/llm/manager'; -import { CustomLLMModel } from '../../types/llm/model'; import { InfioSettings } from '../../types/settings'; +import { GetProviderModelIds } from '../../utils/api'; import { manualApplyChangesToFile } from '../../utils/apply'; import { removeAITags } from '../../utils/content-filter'; import { PromptGenerator } from '../../utils/prompt-generator'; @@ -57,31 +57,35 @@ const ControlArea: React.FC = ({ selectedModel, onModelChange, isSubmitting, -}) => ( -
- - -
-); +}) => { + const currProviderModels = useMemo(() => { + return GetProviderModelIds(settings.chatModelProvider) + .map((modelId) => ( + + )) + }, [settings]) + + return ( +
+ + +
); +}; export const InlineEdit: React.FC = ({ source, @@ -94,14 +98,7 @@ export const InlineEdit: React.FC = ({ const [selectedModel, setSelectedModel] = useState(settings.chatModelId); const [isSubmitting, setIsSubmitting] = useState(false); - const llmManager = new LLMManager({ - deepseek: settings.deepseekApiKey, - openai: settings.openAIApiKey, - anthropic: settings.anthropicApiKey, - gemini: settings.geminiApiKey, - groq: settings.groqApiKey, - infio: settings.infioApiKey, - }); + const llmManager = new LLMManager(settings); const promptGenerator = new PromptGenerator( async () => { @@ -171,9 +168,10 @@ export const InlineEdit: React.FC = ({ return; } - const chatModel = settings.activeModels.find( - (model) => model.name === selectedModel - ) as CustomLLMModel; + const chatModel = { + provider: settings.chatModelProvider, + modelId: settings.chatModelId, + }; if (!chatModel) { setIsSubmitting(false); throw new Error("Invalid chat model"); @@ -193,7 +191,7 @@ export const InlineEdit: React.FC = ({ }); const response = await llmManager.generateResponse(chatModel, { - model: chatModel.name, + model: chatModel.modelId, messages: requestMessages, stream: false, }); diff --git a/src/constants.ts b/src/constants.ts index 5699b1e..f4a4b60 100644 --- a/src/constants.ts +++ b/src/constants.ts @@ -1,120 +1,22 @@ -import { CustomLLMModel } from './types/llm/model' - +import { LLMModel } from './types/llm/model' +// import { ApiProvider } from './utils/api' export const CHAT_VIEW_TYPE = 'infio-chat-view' export const APPLY_VIEW_TYPE = 'infio-apply-view' -export const DEFAULT_MODELS: CustomLLMModel[] = [ - { - name: 'claude-3.5-sonnet', - provider: 'anthropic', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'o1-mini', - provider: 'openai', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'o1-preview', - provider: 'openai', - enabled: false, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'gpt-4o', - provider: 'openai', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'gpt-4o-mini', - provider: 'openai', - enabled: false, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'deepseek-chat', - provider: 'deepseek', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'gemini-1.5-pro', - provider: 'google', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'gemini-2.0-flash-exp', - provider: 'google', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'gemini-2.0-flash-thinking-exp-1219', - provider: 'google', - enabled: false, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'llama-3.1-70b-versatile', - provider: 'groq', - enabled: true, - isEmbeddingModel: false, - isBuiltIn: true, - }, - { - name: 'text-embedding-3-small', - provider: 'openai', - dimension: 1536, - enabled: true, - isEmbeddingModel: true, - isBuiltIn: true, - }, - { - name: 'text-embedding-004', - provider: 'google', - dimension: 768, - enabled: true, - isEmbeddingModel: true, - isBuiltIn: true, - }, - { - name: 'nomic-embed-text', - provider: 'ollama', - dimension: 768, - enabled: true, - isEmbeddingModel: true, - isBuiltIn: true, - }, - { - name: 'mxbai-embed-large', - provider: 'ollama', - dimension: 1024, - enabled: true, - isEmbeddingModel: true, - isBuiltIn: true, - }, - { - name: 'bge-m3', - provider: 'ollama', - dimension: 1024, - enabled: true, - isEmbeddingModel: true, - isBuiltIn: true, - } -] +export const DEFAULT_MODELS: LLMModel[] = [] + +// export const PROVIDERS: ApiProvider[] = [ +// 'Infio', +// 'OpenRouter', +// 'SiliconFlow', +// 'Anthropic', +// 'Deepseek', +// 'OpenAI', +// 'Google', +// 'Groq', +// 'Ollama', +// 'OpenAICompatible', +// ] export const SUPPORT_EMBEDDING_SIMENTION: number[] = [ 384, @@ -124,7 +26,12 @@ export const SUPPORT_EMBEDDING_SIMENTION: number[] = [ 1536 ] +export const OPENAI_BASE_URL = 'https://api.openai.com/v1' export const DEEPSEEK_BASE_URL = 'https://api.deepseek.com' +export const OPENROUTER_BASE_URL = 'https://openrouter.ai/api/v1' +export const SILICONFLOW_BASE_URL = 'https://api.siliconflow.cn/v1' +export const ALIBABA_QWEN_BASE_URL = 'https://dashscope.aliyuncs.com/compatible-mode/v1' +export const INFIO_BASE_URL = 'https://api.infio.com/api/raw_message' // Pricing in dollars per million tokens type ModelPricing = { diff --git a/src/contexts/LLMContext.tsx b/src/contexts/LLMContext.tsx index 08fef4a..2f2da29 100644 --- a/src/contexts/LLMContext.tsx +++ b/src/contexts/LLMContext.tsx @@ -9,7 +9,7 @@ import { } from 'react' import LLMManager from '../core/llm/manager' -import { CustomLLMModel } from '../types/llm/model' +import { LLMModel } from '../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -24,17 +24,17 @@ import { useSettings } from './SettingsContext' export type LLMContextType = { generateResponse: ( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ) => Promise streamResponse: ( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ) => Promise> - chatModel: CustomLLMModel - applyModel: CustomLLMModel + chatModel: LLMModel + applyModel: LLMModel } const LLMContext = createContext(null) @@ -43,55 +43,28 @@ export function LLMProvider({ children }: PropsWithChildren) { const [llmManager, setLLMManager] = useState(null) const { settings } = useSettings() - const chatModel = useMemo((): CustomLLMModel => { - const model = settings.activeModels.find( - (option) => option.name === settings.chatModelId, - ) - if (!model) { - throw new Error('Invalid chat model ID') + const chatModel = useMemo((): LLMModel => { + return { + provider: settings.chatModelProvider, + modelId: settings.chatModelId, } - return model as CustomLLMModel }, [settings]) - const applyModel = useMemo((): CustomLLMModel => { - const model = settings.activeModels.find( - (option) => option.name === settings.applyModelId, - ) - if (!model) { - throw new Error('Invalid apply model ID') + const applyModel = useMemo((): LLMModel => { + return { + provider: settings.applyModelProvider, + modelId: settings.applyModelId, } - if (model.provider === 'ollama') { - return { - ...model, - baseUrl: settings.ollamaApplyModel.baseUrl, - name: settings.ollamaApplyModel.model, - } as CustomLLMModel - } - return model as CustomLLMModel }, [settings]) useEffect(() => { - const manager = new LLMManager({ - deepseek: settings.deepseekApiKey, - openai: settings.openAIApiKey, - anthropic: settings.anthropicApiKey, - gemini: settings.geminiApiKey, - groq: settings.groqApiKey, - infio: settings.infioApiKey, - }) + const manager = new LLMManager(settings) setLLMManager(manager) - }, [ - settings.deepseekApiKey, - settings.openAIApiKey, - settings.anthropicApiKey, - settings.geminiApiKey, - settings.groqApiKey, - settings.infioApiKey, - ]) + }, [settings]) const generateResponse = useCallback( async ( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ) => { @@ -105,7 +78,7 @@ export function LLMProvider({ children }: PropsWithChildren) { const streamResponse = useCallback( async ( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ) => { diff --git a/src/core/autocomplete/index.ts b/src/core/autocomplete/index.ts index db7d693..dfd31e9 100644 --- a/src/core/autocomplete/index.ts +++ b/src/core/autocomplete/index.ts @@ -2,7 +2,7 @@ import * as Handlebars from "handlebars"; import { Result, err, ok } from "neverthrow"; import { FewShotExample } from "../../settings/versions"; -import { CustomLLMModel } from "../../types/llm/model"; +import { LLMModel } from "../../types/llm/model"; import { RequestMessage } from '../../types/llm/request'; import { InfioSettings } from "../../types/settings"; import LLMManager from '../llm/manager'; @@ -25,9 +25,9 @@ import { class LLMClient { private llm: LLMManager; - private model: CustomLLMModel; + private model: LLMModel; - constructor(llm: LLMManager, model: CustomLLMModel) { + constructor(llm: LLMManager, model: LLMModel) { this.llm = llm; this.model = model; } @@ -100,17 +100,11 @@ class AutoComplete implements AutocompleteService { postProcessors.push(new RemoveOverlap()); postProcessors.push(new RemoveWhitespace()); - const llm_manager = new LLMManager({ - deepseek: settings.deepseekApiKey, - openai: settings.openAIApiKey, - anthropic: settings.anthropicApiKey, - gemini: settings.geminiApiKey, - groq: settings.groqApiKey, - infio: settings.infioApiKey, - }) - const model = settings.activeModels.find( - (option) => option.name === settings.chatModelId, - ) as CustomLLMModel; + const llm_manager = new LLMManager(settings) + const model = { + provider: settings.applyModelProvider, + modelId: settings.applyModelId, + } const llm = new LLMClient(llm_manager, model); return new AutoComplete( diff --git a/src/core/llm/anthropic.ts b/src/core/llm/anthropic.ts index 549bc15..e4eb9bb 100644 --- a/src/core/llm/anthropic.ts +++ b/src/core/llm/anthropic.ts @@ -6,7 +6,7 @@ import { TextBlockParam, } from '@anthropic-ai/sdk/resources/messages' -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -36,21 +36,14 @@ export class AnthropicProvider implements BaseLLMProvider { } async generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ): Promise { if (!this.client.apiKey) { - if (!model.apiKey) { - throw new LLMAPIKeyNotSetException( - 'Anthropic API key is missing. Please set it in settings menu.', - ) - } - this.client = new Anthropic({ - baseURL: model.baseUrl, - apiKey: model.apiKey, - dangerouslyAllowBrowser: true - }) + throw new LLMAPIKeyNotSetException( + 'Anthropic API key is missing. Please set it in settings menu.', + ) } const systemMessage = AnthropicProvider.validateSystemMessages( @@ -89,21 +82,14 @@ export class AnthropicProvider implements BaseLLMProvider { } async streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ): Promise> { if (!this.client.apiKey) { - if (!model.apiKey) { - throw new LLMAPIKeyNotSetException( - 'Anthropic API key is missing. Please set it in settings menu.', - ) - } - this.client = new Anthropic({ - baseURL: model.baseUrl, - apiKey: model.apiKey, - dangerouslyAllowBrowser: true - }) + throw new LLMAPIKeyNotSetException( + 'Anthropic API key is missing. Please set it in settings menu.', + ) } const systemMessage = AnthropicProvider.validateSystemMessages( diff --git a/src/core/llm/base.ts b/src/core/llm/base.ts index 4039796..ab05ed0 100644 --- a/src/core/llm/base.ts +++ b/src/core/llm/base.ts @@ -1,4 +1,4 @@ -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -11,12 +11,12 @@ import { export type BaseLLMProvider = { generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ): Promise streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ): Promise> diff --git a/src/core/llm/gemini.ts b/src/core/llm/gemini.ts index 7470a80..3103694 100644 --- a/src/core/llm/gemini.ts +++ b/src/core/llm/gemini.ts @@ -7,7 +7,7 @@ import { Part, } from '@google/generative-ai' -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -43,18 +43,14 @@ export class GeminiProvider implements BaseLLMProvider { } async generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ): Promise { if (!this.apiKey) { - if (!model.apiKey) { - throw new LLMAPIKeyNotSetException( - `Gemini API key is missing. Please set it in settings menu.`, - ) - } - this.apiKey = model.apiKey - this.client = new GoogleGenerativeAI(model.apiKey) + throw new LLMAPIKeyNotSetException( + `Gemini API key is missing. Please set it in settings menu.`, + ) } const systemMessages = request.messages.filter((m) => m.role === 'system') @@ -110,18 +106,14 @@ export class GeminiProvider implements BaseLLMProvider { } async streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ): Promise> { if (!this.apiKey) { - if (!model.apiKey) { - throw new LLMAPIKeyNotSetException( - `Gemini API key is missing. Please set it in settings menu.`, - ) - } - this.apiKey = model.apiKey - this.client = new GoogleGenerativeAI(model.apiKey) + throw new LLMAPIKeyNotSetException( + `Gemini API key is missing. Please set it in settings menu.`, + ) } const systemMessages = request.messages.filter((m) => m.role === 'system') diff --git a/src/core/llm/groq.ts b/src/core/llm/groq.ts index 17a7b8d..4edc104 100644 --- a/src/core/llm/groq.ts +++ b/src/core/llm/groq.ts @@ -6,7 +6,7 @@ import { ChatCompletionMessageParam, } from 'groq-sdk/resources/chat/completions' -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -35,20 +35,14 @@ export class GroqProvider implements BaseLLMProvider { } async generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ): Promise { if (!this.client.apiKey) { - if (!model.apiKey) { - throw new LLMAPIKeyNotSetException( - 'Groq API key is missing. Please set it in settings menu.', - ) - } - this.client = new Groq({ - apiKey: model.apiKey, - dangerouslyAllowBrowser: true, - }) + throw new LLMAPIKeyNotSetException( + 'Groq API key is missing. Please set it in settings menu.', + ) } try { @@ -78,20 +72,14 @@ export class GroqProvider implements BaseLLMProvider { } async streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ): Promise> { if (!this.client.apiKey) { - if (!model.apiKey) { - throw new LLMAPIKeyNotSetException( - 'Groq API key is missing. Please set it in settings menu.', - ) - } - this.client = new Groq({ - apiKey: model.apiKey, - dangerouslyAllowBrowser: true, - }) + throw new LLMAPIKeyNotSetException( + 'Groq API key is missing. Please set it in settings menu.', + ) } try { diff --git a/src/core/llm/infio.ts b/src/core/llm/infio.ts index 421ce3e..328eae1 100644 --- a/src/core/llm/infio.ts +++ b/src/core/llm/infio.ts @@ -4,12 +4,12 @@ import { ChatCompletionChunk, } from 'openai/resources/chat/completions' -import { CustomLLMModel } from '../../types/llm/model' +import { INFIO_BASE_URL } from '../../constants' +import { LLMModel } from '../../types/llm/model' import { - LLMOptions, LLMRequestNonStreaming, LLMRequestStreaming, - RequestMessage, + RequestMessage } from '../../types/llm/request' import { LLMResponseNonStreaming, @@ -85,13 +85,13 @@ export class InfioProvider implements BaseLLMProvider { // this.client = new OpenAI({ apiKey, dangerouslyAllowBrowser: true }) // this.adapter = new OpenAIMessageAdapter() this.apiKey = apiKey - this.baseUrl = 'https://api.infio.com/api/raw_message' + this.baseUrl = INFIO_BASE_URL } async generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, - options?: LLMOptions, + // options?: LLMOptions, ): Promise { if (!this.apiKey) { throw new LLMAPIKeyNotSetException( @@ -107,7 +107,7 @@ export class InfioProvider implements BaseLLMProvider { presence_penalty: request.presence_penalty, max_tokens: request.max_tokens, } - const options = { + const req_options = { method: 'POST', headers: { Authorization: this.apiKey, @@ -117,7 +117,7 @@ export class InfioProvider implements BaseLLMProvider { body: JSON.stringify(req) }; - const response = await fetch(this.baseUrl, options); + const response = await fetch(this.baseUrl, req_options); if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } @@ -134,9 +134,8 @@ export class InfioProvider implements BaseLLMProvider { } async streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, - options?: LLMOptions, ): Promise> { if (!this.apiKey) { throw new LLMAPIKeyNotSetException( @@ -154,7 +153,7 @@ export class InfioProvider implements BaseLLMProvider { presence_penalty: request.presence_penalty, max_tokens: request.max_tokens, } - const options = { + const req_options = { method: 'POST', headers: { Authorization: this.apiKey, @@ -164,7 +163,7 @@ export class InfioProvider implements BaseLLMProvider { body: JSON.stringify(req) }; - const response = await fetch(this.baseUrl, options); + const response = await fetch(this.baseUrl, req_options); if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } diff --git a/src/core/llm/manager.ts b/src/core/llm/manager.ts index 085ec88..3c7b97d 100644 --- a/src/core/llm/manager.ts +++ b/src/core/llm/manager.ts @@ -1,14 +1,15 @@ -import { DEEPSEEK_BASE_URL } from '../../constants' -import { CustomLLMModel } from '../../types/llm/model' +import { ALIBABA_QWEN_BASE_URL, DEEPSEEK_BASE_URL, OPENROUTER_BASE_URL, SILICONFLOW_BASE_URL } from '../../constants' +import { ApiProvider, LLMModel } from '../../types/llm/model' import { - LLMOptions, - LLMRequestNonStreaming, - LLMRequestStreaming, + LLMOptions, + LLMRequestNonStreaming, + LLMRequestStreaming, } from '../../types/llm/request' import { - LLMResponseNonStreaming, - LLMResponseStreaming, + LLMResponseNonStreaming, + LLMResponseStreaming, } from '../../types/llm/response' +import { InfioSettings } from '../../types/settings' import { AnthropicProvider } from './anthropic' import { GeminiProvider } from './gemini' @@ -20,123 +21,147 @@ import { OpenAICompatibleProvider } from './openai-compatible-provider' export type LLMManagerInterface = { - generateResponse( - model: CustomLLMModel, - request: LLMRequestNonStreaming, - options?: LLMOptions, - ): Promise - streamResponse( - model: CustomLLMModel, - request: LLMRequestStreaming, - options?: LLMOptions, - ): Promise> + generateResponse( + model: LLMModel, + request: LLMRequestNonStreaming, + options?: LLMOptions, + ): Promise + streamResponse( + model: LLMModel, + request: LLMRequestStreaming, + options?: LLMOptions, + ): Promise> } class LLMManager implements LLMManagerInterface { - private openaiProvider: OpenAIAuthenticatedProvider - private deepseekProvider: OpenAICompatibleProvider - private anthropicProvider: AnthropicProvider - private googleProvider: GeminiProvider - private groqProvider: GroqProvider - private infioProvider: InfioProvider - private ollamaProvider: OllamaProvider - private isInfioEnabled: boolean + private openaiProvider: OpenAIAuthenticatedProvider + private deepseekProvider: OpenAICompatibleProvider + private anthropicProvider: AnthropicProvider + private googleProvider: GeminiProvider + private groqProvider: GroqProvider + private infioProvider: InfioProvider + private openrouterProvider: OpenAICompatibleProvider + private siliconflowProvider: OpenAICompatibleProvider + private alibabaQwenProvider: OpenAICompatibleProvider + private ollamaProvider: OllamaProvider + private isInfioEnabled: boolean - constructor(apiKeys: { - deepseek?: string - openai?: string - anthropic?: string - gemini?: string - groq?: string - infio?: string - }) { - this.deepseekProvider = new OpenAICompatibleProvider(apiKeys.deepseek ?? '', DEEPSEEK_BASE_URL) - this.openaiProvider = new OpenAIAuthenticatedProvider(apiKeys.openai ?? '') - this.anthropicProvider = new AnthropicProvider(apiKeys.anthropic ?? '') - this.googleProvider = new GeminiProvider(apiKeys.gemini ?? '') - this.groqProvider = new GroqProvider(apiKeys.groq ?? '') - this.infioProvider = new InfioProvider(apiKeys.infio ?? '') - this.ollamaProvider = new OllamaProvider() - this.isInfioEnabled = !!apiKeys.infio - } + constructor(settings: InfioSettings) { + this.infioProvider = new InfioProvider(settings.infioProvider.apiKey) + this.openrouterProvider = new OpenAICompatibleProvider(settings.openrouterProvider.apiKey, OPENROUTER_BASE_URL) + this.siliconflowProvider = new OpenAICompatibleProvider(settings.siliconflowProvider.apiKey, SILICONFLOW_BASE_URL) + this.alibabaQwenProvider = new OpenAICompatibleProvider(settings.alibabaQwenProvider.apiKey, ALIBABA_QWEN_BASE_URL) + this.deepseekProvider = new OpenAICompatibleProvider(settings.deepseekProvider.apiKey, DEEPSEEK_BASE_URL) + this.openaiProvider = new OpenAIAuthenticatedProvider(settings.openaiProvider.apiKey) + this.anthropicProvider = new AnthropicProvider(settings.anthropicProvider.apiKey) + this.googleProvider = new GeminiProvider(settings.googleProvider.apiKey) + this.groqProvider = new GroqProvider(settings.groqProvider.apiKey) + this.ollamaProvider = new OllamaProvider(settings.groqProvider.baseUrl) + this.isInfioEnabled = !!settings.infioProvider.apiKey + } - async generateResponse( - model: CustomLLMModel, - request: LLMRequestNonStreaming, - options?: LLMOptions, - ): Promise { - if (this.isInfioEnabled) { - return await this.infioProvider.generateResponse( - model, - request, - options, - ) - } - // use custom provider - switch (model.provider) { - case 'deepseek': - return await this.deepseekProvider.generateResponse( - model, - request, - options, - ) - case 'openai': - return await this.openaiProvider.generateResponse( - model, - request, - options, - ) - case 'anthropic': - return await this.anthropicProvider.generateResponse( - model, - request, - options, - ) - case 'google': - return await this.googleProvider.generateResponse( - model, - request, - options, - ) - case 'groq': - return await this.groqProvider.generateResponse(model, request, options) - case 'ollama': - return await this.ollamaProvider.generateResponse( - model, - request, - options, - ) - } - } + async generateResponse( + model: LLMModel, + request: LLMRequestNonStreaming, + options?: LLMOptions, + ): Promise { + if (this.isInfioEnabled) { + return await this.infioProvider.generateResponse( + model, + request, + ) + } + // use custom provider + switch (model.provider) { + case ApiProvider.OpenRouter: + return await this.openrouterProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.SiliconFlow: + return await this.siliconflowProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.AlibabaQwen: + return await this.alibabaQwenProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.Deepseek: + return await this.deepseekProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.OpenAI: + return await this.openaiProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.Anthropic: + return await this.anthropicProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.Google: + return await this.googleProvider.generateResponse( + model, + request, + options, + ) + case ApiProvider.Groq: + return await this.groqProvider.generateResponse(model, request, options) + case ApiProvider.Ollama: + return await this.ollamaProvider.generateResponse( + model, + request, + options, + ) + default: + throw new Error(`Unsupported model provider: ${model.provider}`) + } + } - async streamResponse( - model: CustomLLMModel, - request: LLMRequestStreaming, - options?: LLMOptions, - ): Promise> { - if (this.isInfioEnabled) { - return await this.infioProvider.streamResponse(model, request, options) - } - // use custom provider - switch (model.provider) { - case 'deepseek': - return await this.deepseekProvider.streamResponse(model, request, options) - case 'openai': - return await this.openaiProvider.streamResponse(model, request, options) - case 'anthropic': - return await this.anthropicProvider.streamResponse( - model, - request, - options, - ) - case 'google': - return await this.googleProvider.streamResponse(model, request, options) - case 'groq': - return await this.groqProvider.streamResponse(model, request, options) - case 'ollama': - return await this.ollamaProvider.streamResponse(model, request, options) - } - } + async streamResponse( + model: LLMModel, + request: LLMRequestStreaming, + options?: LLMOptions, + ): Promise> { + if (this.isInfioEnabled) { + return await this.infioProvider.streamResponse(model, request) + } + // use custom provider + switch (model.provider) { + case ApiProvider.OpenRouter: + return await this.openrouterProvider.streamResponse(model, request, options) + case ApiProvider.SiliconFlow: + return await this.siliconflowProvider.streamResponse(model, request, options) + case ApiProvider.AlibabaQwen: + return await this.alibabaQwenProvider.streamResponse(model, request, options) + case ApiProvider.Deepseek: + return await this.deepseekProvider.streamResponse(model, request, options) + case ApiProvider.OpenAI: + return await this.openaiProvider.streamResponse(model, request, options) + case ApiProvider.Anthropic: + return await this.anthropicProvider.streamResponse( + model, + request, + options, + ) + case ApiProvider.Google: + return await this.googleProvider.streamResponse(model, request, options) + case ApiProvider.Groq: + return await this.groqProvider.streamResponse(model, request, options) + case ApiProvider.Ollama: + return await this.ollamaProvider.streamResponse(model, request, options) + } + } } export default LLMManager diff --git a/src/core/llm/ollama.ts b/src/core/llm/ollama.ts index 07f3f67..09daf35 100644 --- a/src/core/llm/ollama.ts +++ b/src/core/llm/ollama.ts @@ -7,7 +7,7 @@ import OpenAI from 'openai' import { FinalRequestOptions } from 'openai/core' -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -19,7 +19,7 @@ import { } from '../../types/llm/response' import { BaseLLMProvider } from './base' -import { LLMBaseUrlNotSetException, LLMModelNotSetException } from './exception' +import { LLMBaseUrlNotSetException } from './exception' import { OpenAIMessageAdapter } from './openai-message-adapter' export class NoStainlessOpenAI extends OpenAI { @@ -35,7 +35,7 @@ export class NoStainlessOpenAI extends OpenAI { { retryCount = 0 }: { retryCount?: number } = {}, ): { req: RequestInit; url: string; timeout: number } { const req = super.buildRequest(options, { retryCount }) - const headers = req.req.headers as Record + const headers: Record = req.req.headers Object.keys(headers).forEach((k) => { if (k.startsWith('x-stainless')) { // eslint-disable-next-line @typescript-eslint/no-dynamic-delete @@ -48,30 +48,26 @@ export class NoStainlessOpenAI extends OpenAI { export class OllamaProvider implements BaseLLMProvider { private adapter: OpenAIMessageAdapter + private baseUrl: string - constructor() { + constructor(baseUrl: string) { this.adapter = new OpenAIMessageAdapter() + this.baseUrl = baseUrl } async generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ): Promise { - if (!model.baseUrl) { + if (!this.baseUrl) { throw new LLMBaseUrlNotSetException( 'Ollama base URL is missing. Please set it in settings menu.', ) } - if (!model.name) { - throw new LLMModelNotSetException( - 'Ollama model is missing. Please set it in settings menu.', - ) - } - const client = new NoStainlessOpenAI({ - baseURL: `${model.baseUrl}/v1`, + baseURL: `${this.baseUrl}/v1`, apiKey: '', dangerouslyAllowBrowser: true, }) @@ -79,24 +75,18 @@ export class OllamaProvider implements BaseLLMProvider { } async streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ): Promise> { - if (!model.baseUrl) { + if (!this.baseUrl) { throw new LLMBaseUrlNotSetException( 'Ollama base URL is missing. Please set it in settings menu.', ) } - if (!model.name) { - throw new LLMModelNotSetException( - 'Ollama model is missing. Please set it in settings menu.', - ) - } - const client = new NoStainlessOpenAI({ - baseURL: `${model.baseUrl}/v1`, + baseURL: `${this.baseUrl}/v1`, apiKey: '', dangerouslyAllowBrowser: true, }) diff --git a/src/core/llm/openai-compatible-provider.ts b/src/core/llm/openai-compatible-provider.ts index 235b5ad..6802602 100644 --- a/src/core/llm/openai-compatible-provider.ts +++ b/src/core/llm/openai-compatible-provider.ts @@ -1,6 +1,6 @@ import OpenAI from 'openai' -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { LLMOptions, LLMRequestNonStreaming, @@ -33,7 +33,7 @@ export class OpenAICompatibleProvider implements BaseLLMProvider { } async generateResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestNonStreaming, options?: LLMOptions, ): Promise { @@ -47,7 +47,7 @@ export class OpenAICompatibleProvider implements BaseLLMProvider { } async streamResponse( - model: CustomLLMModel, + model: LLMModel, request: LLMRequestStreaming, options?: LLMOptions, ): Promise> { diff --git a/src/core/llm/openai.ts b/src/core/llm/openai.ts index b05c9b1..59ad51f 100644 --- a/src/core/llm/openai.ts +++ b/src/core/llm/openai.ts @@ -1,91 +1,77 @@ import OpenAI from 'openai' -import { CustomLLMModel } from '../../types/llm/model' +import { LLMModel } from '../../types/llm/model' import { - LLMOptions, - LLMRequestNonStreaming, - LLMRequestStreaming, + LLMOptions, + LLMRequestNonStreaming, + LLMRequestStreaming, } from '../../types/llm/request' import { - LLMResponseNonStreaming, - LLMResponseStreaming, + LLMResponseNonStreaming, + LLMResponseStreaming, } from '../../types/llm/response' import { BaseLLMProvider } from './base' import { - LLMAPIKeyInvalidException, - LLMAPIKeyNotSetException, + LLMAPIKeyInvalidException, + LLMAPIKeyNotSetException, } from './exception' import { OpenAIMessageAdapter } from './openai-message-adapter' export class OpenAIAuthenticatedProvider implements BaseLLMProvider { - private adapter: OpenAIMessageAdapter - private client: OpenAI + private adapter: OpenAIMessageAdapter + private client: OpenAI - constructor(apiKey: string) { - this.client = new OpenAI({ - apiKey, - dangerouslyAllowBrowser: true, - }) - this.adapter = new OpenAIMessageAdapter() - } + constructor(apiKey: string) { + this.client = new OpenAI({ + apiKey, + dangerouslyAllowBrowser: true, + }) + this.adapter = new OpenAIMessageAdapter() + } - async generateResponse( - model: CustomLLMModel, - request: LLMRequestNonStreaming, - options?: LLMOptions, - ): Promise { - if (!this.client.apiKey) { - if (!model.baseUrl) { - throw new LLMAPIKeyNotSetException( - 'OpenAI API key is missing. Please set it in settings menu.', - ) - } - this.client = new OpenAI({ - apiKey: model.apiKey, - baseURL: model.baseUrl, - dangerouslyAllowBrowser: true, - }) - } - try { - return this.adapter.generateResponse(this.client, request, options) - } catch (error) { - if (error instanceof OpenAI.AuthenticationError) { - throw new LLMAPIKeyInvalidException( - 'OpenAI API key is invalid. Please update it in settings menu.', - ) - } - throw error - } - } + async generateResponse( + model: LLMModel, + request: LLMRequestNonStreaming, + options?: LLMOptions, + ): Promise { + if (!this.client.apiKey) { + throw new LLMAPIKeyNotSetException( + 'OpenAI API key is missing. Please set it in settings menu.', + ) + } + try { + return this.adapter.generateResponse(this.client, request, options) + } catch (error) { + if (error instanceof OpenAI.AuthenticationError) { + throw new LLMAPIKeyInvalidException( + 'OpenAI API key is invalid. Please update it in settings menu.', + ) + } + throw error + } + } - async streamResponse( - model: CustomLLMModel, - request: LLMRequestStreaming, - options?: LLMOptions, - ): Promise> { - if (!this.client.apiKey) { - if (!model.baseUrl) { - throw new LLMAPIKeyNotSetException( - 'OpenAI API key is missing. Please set it in settings menu.', - ) - } - this.client = new OpenAI({ - apiKey: model.apiKey, - baseURL: model.baseUrl, - dangerouslyAllowBrowser: true, - }) - } + async streamResponse( + model: LLMModel, + request: LLMRequestStreaming, + options?: LLMOptions, + ): Promise> { + if (!this.client.apiKey) { + throw new LLMAPIKeyNotSetException( + 'OpenAI API key is missing. Please set it in settings menu.', + ) + } - try { - return this.adapter.streamResponse(this.client, request, options) - } catch (error) { - if (error instanceof OpenAI.AuthenticationError) { - throw new LLMAPIKeyInvalidException( - 'OpenAI API key is invalid. Please update it in settings menu.', - ) - } - throw error - } - } + try { + return this.adapter.streamResponse(this.client, request, options) + } catch (error) { + if (error instanceof OpenAI.AuthenticationError) { + throw new LLMAPIKeyInvalidException( + 'OpenAI API key is invalid. Please update it in settings menu.', + ) + } + throw error + } + } } diff --git a/src/core/rag/embedding.ts b/src/core/rag/embedding.ts index a80caa3..1d1527d 100644 --- a/src/core/rag/embedding.ts +++ b/src/core/rag/embedding.ts @@ -1,7 +1,11 @@ import { GoogleGenerativeAI } from '@google/generative-ai' import { OpenAI } from 'openai' +import { ALIBABA_QWEN_BASE_URL, OPENAI_BASE_URL, SILICONFLOW_BASE_URL } from "../../constants" import { EmbeddingModel } from '../../types/embedding' +import { ApiProvider } from '../../types/llm/model' +import { InfioSettings } from '../../types/settings' +import { GetEmbeddingModelInfo } from '../../utils/api' import { LLMAPIKeyNotSetException, LLMBaseUrlNotSetException, @@ -10,22 +14,20 @@ import { import { NoStainlessOpenAI } from '../llm/ollama' export const getEmbeddingModel = ( - embeddingModelId: string, - apiKeys: { - openAIApiKey: string - geminiApiKey: string - }, - ollamaBaseUrl: string, + settings: InfioSettings, ): EmbeddingModel => { - switch (embeddingModelId) { - case 'text-embedding-3-small': { + switch (settings.embeddingModelProvider) { + case ApiProvider.OpenAI: { + const baseURL = settings.openaiProvider.useCustomUrl ? settings.openaiProvider.baseUrl : OPENAI_BASE_URL const openai = new OpenAI({ - apiKey: apiKeys.openAIApiKey, + apiKey: settings.openaiProvider.apiKey, + baseURL: baseURL, dangerouslyAllowBrowser: true, }) + const modelInfo = GetEmbeddingModelInfo(settings.embeddingModelProvider, settings.embeddingModelId) return { - id: 'text-embedding-3-small', - dimension: 1536, + id: settings.embeddingModelId, + dimension: modelInfo.dimensions, getEmbedding: async (text: string) => { try { if (!openai.apiKey) { @@ -34,7 +36,7 @@ export const getEmbeddingModel = ( ) } const embedding = await openai.embeddings.create({ - model: 'text-embedding-3-small', + model: settings.embeddingModelId, input: text, }) return embedding.data[0].embedding @@ -52,12 +54,87 @@ export const getEmbeddingModel = ( }, } } - case 'text-embedding-004': { - const client = new GoogleGenerativeAI(apiKeys.geminiApiKey) - const model = client.getGenerativeModel({ model: 'text-embedding-004' }) + case ApiProvider.SiliconFlow: { + const baseURL = settings.siliconflowProvider.useCustomUrl ? settings.siliconflowProvider.baseUrl : SILICONFLOW_BASE_URL + const openai = new OpenAI({ + apiKey: settings.siliconflowProvider.apiKey, + baseURL: baseURL, + dangerouslyAllowBrowser: true, + }) + const modelInfo = GetEmbeddingModelInfo(settings.embeddingModelProvider, settings.embeddingModelId) return { - id: 'text-embedding-004', - dimension: 768, + id: settings.embeddingModelId, + dimension: modelInfo.dimensions, + getEmbedding: async (text: string) => { + try { + if (!openai.apiKey) { + throw new LLMAPIKeyNotSetException( + 'SiliconFlow API key is missing. Please set it in settings menu.', + ) + } + const embedding = await openai.embeddings.create({ + model: settings.embeddingModelId, + input: text, + }) + return embedding.data[0].embedding + } catch (error) { + if ( + error.status === 429 && + error.message.toLowerCase().includes('rate limit') + ) { + throw new LLMRateLimitExceededException( + 'SiliconFlow API rate limit exceeded. Please try again later.', + ) + } + throw error + } + }, + } + } + case ApiProvider.AlibabaQwen: { + const baseURL = settings.alibabaQwenProvider.useCustomUrl ? settings.alibabaQwenProvider.baseUrl : ALIBABA_QWEN_BASE_URL + const openai = new OpenAI({ + apiKey: settings.alibabaQwenProvider.apiKey, + baseURL: baseURL, + dangerouslyAllowBrowser: true, + }) + const modelInfo = GetEmbeddingModelInfo(settings.embeddingModelProvider, settings.embeddingModelId) + return { + id: settings.embeddingModelId, + dimension: modelInfo.dimensions, + getEmbedding: async (text: string) => { + try { + if (!openai.apiKey) { + throw new LLMAPIKeyNotSetException( + 'Alibaba Qwen API key is missing. Please set it in settings menu.', + ) + } + const embedding = await openai.embeddings.create({ + model: settings.embeddingModelId, + input: text, + }) + return embedding.data[0].embedding + } catch (error) { + if ( + error.status === 429 && + error.message.toLowerCase().includes('rate limit') + ) { + throw new LLMRateLimitExceededException( + 'Alibaba Qwen API rate limit exceeded. Please try again later.', + ) + } + throw error + } + }, + } + } + case ApiProvider.Google: { + const client = new GoogleGenerativeAI(settings.googleProvider.apiKey) + const model = client.getGenerativeModel({ model: settings.embeddingModelId }) + const modelInfo = GetEmbeddingModelInfo(settings.embeddingModelProvider, settings.embeddingModelId) + return { + id: settings.embeddingModelId, + dimension: modelInfo.dimensions, getEmbedding: async (text: string) => { try { const response = await model.embedContent(text) @@ -76,69 +153,24 @@ export const getEmbeddingModel = ( }, } } - case 'nomic-embed-text': { + case ApiProvider.Ollama: { const openai = new NoStainlessOpenAI({ - apiKey: '', + apiKey: settings.ollamaProvider.apiKey, dangerouslyAllowBrowser: true, - baseURL: `${ollamaBaseUrl}/v1`, + baseURL: `${settings.ollamaProvider.baseUrl}/v1`, }) + const modelInfo = GetEmbeddingModelInfo(settings.embeddingModelProvider, settings.embeddingModelId) return { - id: 'nomic-embed-text', - dimension: 768, + id: settings.embeddingModelId, + dimension: modelInfo.dimensions, getEmbedding: async (text: string) => { - if (!ollamaBaseUrl) { + if (!settings.ollamaProvider.baseUrl) { throw new LLMBaseUrlNotSetException( 'Ollama Address is missing. Please set it in settings menu.', ) } const embedding = await openai.embeddings.create({ - model: 'nomic-embed-text', - input: text, - }) - return embedding.data[0].embedding - }, - } - } - case 'mxbai-embed-large': { - const openai = new NoStainlessOpenAI({ - apiKey: '', - dangerouslyAllowBrowser: true, - baseURL: `${ollamaBaseUrl}/v1`, - }) - return { - id: 'mxbai-embed-large', - dimension: 1024, - getEmbedding: async (text: string) => { - if (!ollamaBaseUrl) { - throw new LLMBaseUrlNotSetException( - 'Ollama Address is missing. Please set it in settings menu.', - ) - } - const embedding = await openai.embeddings.create({ - model: 'mxbai-embed-large', - input: text, - }) - return embedding.data[0].embedding - }, - } - } - case 'bge-m3': { - const openai = new NoStainlessOpenAI({ - apiKey: '', - dangerouslyAllowBrowser: true, - baseURL: `${ollamaBaseUrl}/v1`, - }) - return { - id: 'bge-m3', - dimension: 1024, - getEmbedding: async (text: string) => { - if (!ollamaBaseUrl) { - throw new LLMBaseUrlNotSetException( - 'Ollama Address is missing. Please set it in settings menu.', - ) - } - const embedding = await openai.embeddings.create({ - model: 'bge-m3', + model: settings.embeddingModelId, input: text, }) return embedding.data[0].embedding diff --git a/src/core/rag/rag-engine.ts b/src/core/rag/rag-engine.ts index 430262b..34e12a8 100644 --- a/src/core/rag/rag-engine.ts +++ b/src/core/rag/rag-engine.ts @@ -23,26 +23,12 @@ export class RAGEngine { this.app = app this.settings = settings this.vectorManager = dbManager.getVectorManager() - this.embeddingModel = getEmbeddingModel( - settings.embeddingModelId, - { - openAIApiKey: settings.openAIApiKey, - geminiApiKey: settings.geminiApiKey, - }, - settings.ollamaEmbeddingModel.baseUrl, - ) + this.embeddingModel = getEmbeddingModel(settings) } setSettings(settings: InfioSettings) { this.settings = settings - this.embeddingModel = getEmbeddingModel( - settings.embeddingModelId, - { - openAIApiKey: settings.openAIApiKey, - geminiApiKey: settings.geminiApiKey, - }, - settings.ollamaEmbeddingModel.baseUrl, - ) + this.embeddingModel = getEmbeddingModel(settings) } // TODO: Implement automatic vault re-indexing when settings are changed. diff --git a/src/database/schema.ts b/src/database/schema.ts index acf3f61..f3ed40b 100644 --- a/src/database/schema.ts +++ b/src/database/schema.ts @@ -1,7 +1,7 @@ import { SerializedLexicalNode } from 'lexical' import { SUPPORT_EMBEDDING_SIMENTION } from '../constants' -import { EmbeddingModelId } from '../types/embedding' +// import { EmbeddingModelId } from '../types/embedding' // PostgreSQL column types type ColumnDefinition = { diff --git a/src/main.ts b/src/main.ts index 55b9481..e621377 100644 --- a/src/main.ts +++ b/src/main.ts @@ -30,6 +30,7 @@ import { getMentionableBlockData } from './utils/obsidian' // Remember to rename these classes and interfaces! export default class InfioPlugin extends Plugin { settings: InfioSettings + settingTab: InfioSettingTab settingsListeners: ((newSettings: InfioSettings) => void)[] = [] initChatProps?: ChatProps dbManager: DBManager | null = null @@ -41,6 +42,10 @@ export default class InfioPlugin extends Plugin { async onload() { await this.loadSettings() + // Add settings tab + this.settingTab = new InfioSettingTab(this.app, this) + this.addSettingTab(this.settingTab) + // This creates an icon in the left ribbon. this.addRibbonIcon('wand-sparkles', 'Open infio copilot', () => this.openChatView(), @@ -49,14 +54,12 @@ export default class InfioPlugin extends Plugin { this.registerView(CHAT_VIEW_TYPE, (leaf) => new ChatView(leaf, this)) this.registerView(APPLY_VIEW_TYPE, (leaf) => new ApplyView(leaf)) - // This adds a settings tab so the user can configure various aspects of the plugin - this.addSettingTab(new InfioSettingTab(this.app, this)) - // Register markdown processor for ai blocks this.inlineEdit = new InlineEdit(this, this.settings); this.registerMarkdownCodeBlockProcessor("infioedit", (source, el, ctx) => { this.inlineEdit?.Processor(source, el, ctx); }); + // Update inlineEdit when settings change this.addSettingsListener((newSettings) => { this.inlineEdit = new InlineEdit(this, newSettings); diff --git a/src/settings/CustomSettings.tsx b/src/settings/CustomSettings.tsx index 56b5234..6bcb47b 100644 --- a/src/settings/CustomSettings.tsx +++ b/src/settings/CustomSettings.tsx @@ -3,7 +3,8 @@ import React from "react"; import InfioPlugin from "../main"; import { InfioSettings } from "../types/settings"; -import ModelsSettings from "./ModelsSettings"; +// import ModelsSettings from "./ModelsSettings"; +import ProviderSettings from "./ProviderSettings"; type CustomSettingsProps = { plugin: InfioPlugin; @@ -14,16 +15,18 @@ const CustomSettings: React.FC = ({ plugin }) => { const handleSettingsUpdate = async (newSettings: InfioSettings) => { await plugin.setSettings(newSettings); + // Force refresh the settings page to update dropdowns + plugin.settingTab.display(); }; return (
-

+

Infio Settings v{settings.version}

- +
); }; diff --git a/src/settings/FormComponents.tsx b/src/settings/FormComponents.tsx index 8f059e9..8576cde 100644 --- a/src/settings/FormComponents.tsx +++ b/src/settings/FormComponents.tsx @@ -1,4 +1,4 @@ -import React from "react"; +import React, { useEffect, useState } from "react"; export type DropdownComponentProps = { name: string; @@ -21,7 +21,7 @@ export const DropdownComponent: React.FC = ({ onChange(e.target.value)} - /> - -); +}) => { + const [localValue, setLocalValue] = useState(value); + + // Update local value when prop value changes (e.g., provider change) + useEffect(() => { + setLocalValue(value); + }, [value]); + + const handleChange = (e: React.ChangeEvent) => { + setLocalValue(e.target.value); + }; + + const handleBlur = () => { + if (localValue !== value) { + onChange(localValue); + } + }; + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === 'Enter') { + e.currentTarget.blur(); + } + }; + + return ( +
+
{name}
+ {description &&
{description}
} + +
+ ); +}; export type ToggleComponentProps = { - name?: string; - description?: string; + name: string; value: boolean; onChange: (value: boolean) => void; disabled?: boolean; @@ -72,14 +98,11 @@ export type ToggleComponentProps = { export const ToggleComponent: React.FC = ({ name, - description, value, onChange, disabled = false, }) => (
- {name &&
{name}
} - {description &&
{description}
}
); diff --git a/src/settings/ProviderModelsPicker.tsx b/src/settings/ProviderModelsPicker.tsx new file mode 100644 index 0000000..677ff82 --- /dev/null +++ b/src/settings/ProviderModelsPicker.tsx @@ -0,0 +1,314 @@ +import * as Popover from "@radix-ui/react-popover"; +import Fuse, { FuseResult } from "fuse.js"; +import React, { useEffect, useMemo, useRef, useState } from "react"; + +import { ApiProvider } from "../types/llm/model"; +// import { PROVIDERS } from '../constants'; +import { GetAllProviders, GetEmbeddingProviderModelIds, GetEmbeddingProviders, GetProviderModelIds } from "../utils/api"; + +type TextSegment = { + text: string; + isHighlighted: boolean; +}; + +type SearchableItem = { + id: string; + html: string | TextSegment[]; +}; + +type HighlightedItem = { + id: string; + html: TextSegment[]; +}; + +// Type guard for Record +function isRecord(value: unknown): value is Record { + return typeof value === 'object' && value !== null; +} + +// https://gist.github.com/evenfrost/1ba123656ded32fb7a0cd4651efd4db0 +export const highlight = (fuseSearchResult: FuseResult[]): HighlightedItem[] => { + const set = (obj: Record, path: string, value: TextSegment[]): void => { + const pathValue = path.split(".") + let i: number + let current = obj + + for (i = 0; i < pathValue.length - 1; i++) { + const nextValue = current[pathValue[i]] + if (isRecord(nextValue)) { + current = nextValue + } else { + throw new Error(`Invalid path: ${path}`) + } + } + + current[pathValue[i]] = value + } + + // Function to merge overlapping regions + const mergeRegions = (regions: [number, number][]): [number, number][] => { + if (regions.length === 0) return regions + + // Sort regions by start index + regions.sort((a, b) => a[0] - b[0]) + + const merged: [number, number][] = [regions[0]] + + for (let i = 1; i < regions.length; i++) { + const last = merged[merged.length - 1] + const current = regions[i] + + if (current[0] <= last[1] + 1) { + // Overlapping or adjacent regions + last[1] = Math.max(last[1], current[1]) + } else { + merged.push(current) + } + } + + return merged + } + + const generateHighlightedSegments = (inputText: string, regions: [number, number][] = []): TextSegment[] => { + if (regions.length === 0) { + return [{ text: inputText, isHighlighted: false }]; + } + + // Sort and merge overlapping regions + const mergedRegions = mergeRegions(regions); + const segments: TextSegment[] = []; + let nextUnhighlightedRegionStartingIndex = 0; + + mergedRegions.forEach((region) => { + const start = region[0]; + const end = region[1]; + const lastRegionNextIndex = end + 1; + + // Add unhighlighted segment before the highlight + if (nextUnhighlightedRegionStartingIndex < start) { + segments.push({ + text: inputText.substring(nextUnhighlightedRegionStartingIndex, start), + isHighlighted: false, + }); + } + + // Add highlighted segment + segments.push({ + text: inputText.substring(start, lastRegionNextIndex), + isHighlighted: true, + }); + + nextUnhighlightedRegionStartingIndex = lastRegionNextIndex; + }); + + // Add remaining unhighlighted text + if (nextUnhighlightedRegionStartingIndex < inputText.length) { + segments.push({ + text: inputText.substring(nextUnhighlightedRegionStartingIndex), + isHighlighted: false, + }); + } + + return segments; + } + + return fuseSearchResult + .filter(({ matches }) => matches && matches.length) + .map(({ item, matches }): HighlightedItem => { + const highlightedItem: HighlightedItem = { + id: item.id, + html: typeof item.html === 'string' ? [{ text: item.html, isHighlighted: false }] : [...item.html] + } + + matches?.forEach((match) => { + if (match.key && typeof match.value === "string" && match.indices) { + const mergedIndices = mergeRegions([...match.indices]) + set(highlightedItem, match.key, generateHighlightedSegments(match.value, mergedIndices)) + } + }) + + return highlightedItem + }) +} + +const HighlightedText: React.FC<{ segments: TextSegment[] }> = ({ segments }) => { + return ( + <> + {segments.map((segment, index) => ( + segment.isHighlighted ? ( + {segment.text} + ) : ( + {segment.text} + ) + ))} + + ); +}; + +export type ComboBoxComponentProps = { + name: string; + provider: ApiProvider; + modelId: string; + isEmbedding?: boolean, + updateModel: (provider: ApiProvider, modelId: string) => void; +}; + +export const ComboBoxComponent: React.FC = ({ + name, + provider, + modelId, + isEmbedding = false, + updateModel, +}) => { + // 提供商选择状态 + const [modelProvider, setModelProvider] = useState(provider); + + // 搜索输入状态 + const [searchTerm, setSearchTerm] = useState(""); + const [isOpen, setIsOpen] = useState(false); + const [selectedIndex, setSelectedIndex] = useState(0); + + const providers = isEmbedding ? GetEmbeddingProviders() : GetAllProviders() + + const modelIds = useMemo(() => { + return isEmbedding ? GetEmbeddingProviderModelIds(modelProvider) : GetProviderModelIds(modelProvider) + }, [modelProvider]) + + const searchableItems = useMemo(() => { + return modelIds.map((id) => ({ + id, + html: id, + })) + }, [modelIds]) + + // 初始化 fuse，用于模糊搜索，简单配置 threshold 可按需调整 + const fuse = useMemo(() => { + return new Fuse(searchableItems, { + keys: ["html"], + threshold: 0.6, + shouldSort: true, + isCaseSensitive: false, + ignoreLocation: false, + includeMatches: true, + minMatchCharLength: 1, + }) + }, [searchableItems]) + + // 根据 searchTerm 得到过滤后的数据列表 + const filteredOptions = useMemo(() => { + const results: HighlightedItem[] = searchTerm + ? highlight(fuse.search(searchTerm)) + : searchableItems.map(item => ({ + ...item, + html: [{ text: item.html, isHighlighted: false }] + })) + return results + }, [searchableItems, searchTerm, fuse]) + + const listRef = useRef(null); + const itemRefs = useRef>([]); + + // 当选中项发生变化时，滚动到可视区域内 + useEffect(() => { + if (itemRefs.current[selectedIndex]) { + itemRefs.current[selectedIndex]?.scrollIntoView({ + block: "nearest", + behavior: "smooth" + }); + } + }, [selectedIndex]); + + return ( +
+
{name}
+ + +
+ {modelId} +
+ + +
+
+ + { + setSearchTerm(e.target.value); + setSelectedIndex(0); + }} + onKeyDown={(e) => { + switch (e.key) { + case "ArrowDown": + e.preventDefault(); + setSelectedIndex((prev) => + Math.min(prev + 1, filteredOptions.length - 1) + ); + break; + case "ArrowUp": + e.preventDefault(); + setSelectedIndex((prev) => Math.max(prev - 1, 0)); + break; + case "Enter": { + e.preventDefault(); + const selectedOption = filteredOptions[selectedIndex]; + if (selectedOption) { + updateModel(modelProvider, selectedOption.id); + setSearchTerm(""); + setIsOpen(false); + } + break; + } + case "Escape": + e.preventDefault(); + setIsOpen(false); + setSearchTerm(""); + break; + } + }} + /> +
+ {filteredOptions.map((option, index) => ( + +
(itemRefs.current[index] = el)} + onMouseEnter={() => setSelectedIndex(index)} + onClick={() => { + updateModel(modelProvider, option.id); + setSearchTerm(""); + setIsOpen(false); + }} + className={`infio-llm-setting-combobox-option ${index === selectedIndex ? 'is-selected' : ''}`} + > + +
+ + ))} +
+ + +
+ ); +}; diff --git a/src/settings/ProviderSettings.tsx b/src/settings/ProviderSettings.tsx new file mode 100644 index 0000000..0eb7d34 --- /dev/null +++ b/src/settings/ProviderSettings.tsx @@ -0,0 +1,186 @@ +import React, { useMemo, useState } from 'react'; + +// import { PROVIDERS } from '../constants'; +import { ApiProvider } from '../types/llm/model'; +import { InfioSettings } from '../types/settings'; +import { GetAllProviders } from '../utils/api'; +// import { siliconFlowDefaultModelId } from '../utils/api'; + +import { DropdownComponent, TextComponent, ToggleComponent } from './FormComponents'; +import { ComboBoxComponent } from './ProviderModelsPicker'; + +type ProviderSettingKey = + | 'infioProvider' + | 'openrouterProvider' + | 'openaiProvider' + | 'siliconflowProvider' + | 'alibabaQwenProvider' + | 'anthropicProvider' + | 'deepseekProvider' + | 'googleProvider' + | 'groqProvider' + | 'ollamaProvider' + | 'openaicompatibleProvider'; + +interface ProviderSettingsProps { + settings: InfioSettings; + setSettings: (settings: InfioSettings) => Promise; +} + +const keyMap: Record = { + 'Infio': 'infioProvider', + 'OpenRouter': 'openrouterProvider', + 'OpenAI': 'openaiProvider', + 'SiliconFlow': 'siliconflowProvider', + 'AlibabaQwen': 'alibabaQwenProvider', + 'Anthropic': 'anthropicProvider', + 'Deepseek': 'deepseekProvider', + 'Google': 'googleProvider', + 'Groq': 'groqProvider', + 'Ollama': 'ollamaProvider', + 'OpenAICompatible': 'openaicompatibleProvider' +}; + +const getProviderSettingKey = (provider: ApiProvider): ProviderSettingKey => { + return keyMap[provider]; +}; + +const PROVIDERS = GetAllProviders(); + +const ProviderSettings: React.FC = ({ settings, setSettings }) => { + const [currProvider, setCurrProvider] = useState(settings.defaultProvider); + + const providerSetting = useMemo(() => { + const providerKey = getProviderSettingKey(currProvider); + return settings[providerKey] || {}; + }, [currProvider, settings]); + + const updateProvider = (provider: ApiProvider) => { + setCurrProvider(provider); + setSettings({ + ...settings, + defaultProvider: provider + }); + }; + + const updateProviderApiKey = (value: string) => { + const providerKey = getProviderSettingKey(currProvider); + const providerSettings = settings[providerKey]; + + setSettings({ + ...settings, + [providerKey]: { + ...providerSettings, + apiKey: value + } + }); + }; + + const updateProviderUseCustomUrl = (value: boolean) => { + const providerKey = getProviderSettingKey(currProvider); + const providerSettings = settings[providerKey]; + + setSettings({ + ...settings, + [providerKey]: { + ...providerSettings, + useCustomUrl: value + } + }); + }; + + const updateProviderBaseUrl = (value: string) => { + const providerKey = getProviderSettingKey(currProvider); + const providerSettings = settings[providerKey]; + + setSettings({ + ...settings, + [providerKey]: { + ...providerSettings, + baseUrl: value + } + }); + }; + + const updateChatModelId = (provider: ApiProvider, modelId: string) => { + setSettings({ + ...settings, + chatModelProvider: provider, + chatModelId: modelId + }); + }; + + const updateApplyModelId = (provider: ApiProvider, modelId: string) => { + setSettings({ + ...settings, + applyModelProvider: provider, + applyModelId: modelId + }); + }; + + const updateEmbeddingModelId = (provider: ApiProvider, modelId: string) => { + setSettings({ + ...settings, + embeddingModelProvider: provider, + embeddingModelId: modelId + }); + }; + + return ( +
+ +
+ +
+ + {providerSetting.useCustomUrl && ( + + )} + +
+
+ +
+ +
+ +
+ ); +}; + +export default ProviderSettings; diff --git a/src/settings/SettingTab.tsx b/src/settings/SettingTab.tsx index 3653ec1..76875ee 100644 --- a/src/settings/SettingTab.tsx +++ b/src/settings/SettingTab.tsx @@ -31,8 +31,6 @@ export class InfioSettingTab extends PluginSettingTab { const { containerEl } = this containerEl.empty() this.renderModelsSection(containerEl) - this.renderAPIKeysSection(containerEl) - this.renderDefaultModelSection(containerEl) this.renderRAGSection(containerEl) this.renderAutoCompleteSection(containerEl) } @@ -108,7 +106,7 @@ export class InfioSettingTab extends PluginSettingTab { ) new Setting(containerEl) - .setName('Gemini API key') + .setName('Google API key') .setClass("infio-chat-setting-item-container-append") .addText((text) => text @@ -725,6 +723,8 @@ export class InfioSettingTab extends PluginSettingTab { { this.plugin.setSettings(settings); + // Force refresh the settings page to update dropdowns + this.plugin.settingTab.display(); }} settings={this.plugin.settings} /> diff --git a/src/types/chat.ts b/src/types/chat.ts index dc38811..d8be2eb 100644 --- a/src/types/chat.ts +++ b/src/types/chat.ts @@ -2,7 +2,7 @@ import { SerializedEditorState } from 'lexical' import { SelectVector } from '../database/schema' -import { CustomLLMModel } from './llm/model' +import { LLMModel } from './llm/model' import { ContentPart } from './llm/request' import { ResponseUsage } from './llm/response' import { Mentionable, SerializedMentionable } from './mentionable' @@ -17,15 +17,17 @@ export type ChatUserMessage = { similarity: number })[] } + export type ChatAssistantMessage = { role: 'assistant' content: string id: string metadata?: { usage?: ResponseUsage - model?: CustomLLMModel + model?: LLMModel } } + export type ChatMessage = ChatUserMessage | ChatAssistantMessage export type SerializedChatUserMessage = { @@ -38,15 +40,17 @@ export type SerializedChatUserMessage = { similarity: number })[] } + export type SerializedChatAssistantMessage = { role: 'assistant' content: string id: string metadata?: { usage?: ResponseUsage - model?: CustomLLMModel + model?: LLMModel } } + export type SerializedChatMessage = | SerializedChatUserMessage | SerializedChatAssistantMessage diff --git a/src/types/embedding.ts b/src/types/embedding.ts index 6fd1be8..6598690 100644 --- a/src/types/embedding.ts +++ b/src/types/embedding.ts @@ -1,4 +1,6 @@ -import { CustomLLMModel } from './llm/model' +import { LLMModel } from './llm/model' + +import { EmbeddingModelInfo } from '../utils/api' export type EmbeddingModelId = | 'text-embedding-3-small' @@ -10,12 +12,12 @@ export type EmbeddingModelId = export type EmbeddingModelOption = { id: EmbeddingModelId name: string - model: CustomLLMModel + model: LLMModel dimension: number } export type EmbeddingModel = { - id: EmbeddingModelId + id: string dimension: number getEmbedding: (text: string) => Promise } diff --git a/src/types/llm/model.ts b/src/types/llm/model.ts index ac2b390..b345544 100644 --- a/src/types/llm/model.ts +++ b/src/types/llm/model.ts @@ -1,3 +1,22 @@ +export enum ApiProvider { + Infio = "Infio", + OpenRouter = "OpenRouter", + SiliconFlow = "SiliconFlow", + AlibabaQwen = "AlibabaQwen", + Anthropic = "Anthropic", + Deepseek = "Deepseek", + OpenAI = "OpenAI", + Google = "Google", + Groq = "Groq", + Ollama = "Ollama", + OpenAICompatible = "OpenAICompatible", +} + +export type LLMModel = { + provider: ApiProvider; + modelId: string; +} + // Model Providers export enum ModelProviders { OPENAI = "openai", diff --git a/src/types/settings.ts b/src/types/settings.ts index d8113d3..b0957ef 100644 --- a/src/types/settings.ts +++ b/src/types/settings.ts @@ -1,6 +1,5 @@ import { z } from 'zod'; - import { DEFAULT_MODELS } from '../constants'; import { MAX_DELAY, @@ -11,10 +10,143 @@ import { modelOptionsSchema } from '../settings/versions/shared'; import { DEFAULT_AUTOCOMPLETE_SETTINGS } from "../settings/versions/v1/v1"; +import { ApiProvider } from '../types/llm/model'; import { isRegexValid, isValidIgnorePattern } from '../utils/auto-complete'; export const SETTINGS_SCHEMA_VERSION = 0.1 +const InfioProviderSchema = z.object({ + name: z.literal('Infio'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'Infio', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const OpenRouterProviderSchema = z.object({ + name: z.literal('OpenRouter'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'OpenRouter', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const SiliconFlowProviderSchema = z.object({ + name: z.literal('SiliconFlow'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'SiliconFlow', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const AlibabaQwenProviderSchema = z.object({ + name: z.literal('AlibabaQwen'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'AlibabaQwen', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const AnthropicProviderSchema = z.object({ + name: z.literal('Anthropic'), + apiKey: z.string().catch(''), + baseUrl: z.string().optional(), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'Anthropic', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const DeepSeekProviderSchema = z.object({ + name: z.literal('DeepSeek'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'DeepSeek', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const GoogleProviderSchema = z.object({ + name: z.literal('Google'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'Google', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const OpenAIProviderSchema = z.object({ + name: z.literal('OpenAI'), + apiKey: z.string().catch(''), + baseUrl: z.string().optional(), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'OpenAI', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const OpenAICompatibleProviderSchema = z.object({ + name: z.literal('OpenAICompatible'), + apiKey: z.string().catch(''), + baseUrl: z.string().optional(), + useCustomUrl: z.boolean().catch(true) +}).catch({ + name: 'OpenAICompatible', + apiKey: '', + baseUrl: '', + useCustomUrl: true +}) + +const OllamaProviderSchema = z.object({ + name: z.literal('Ollama'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'Ollama', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + +const GroqProviderSchema = z.object({ + name: z.literal('Groq'), + apiKey: z.string().catch(''), + baseUrl: z.string().catch(''), + useCustomUrl: z.boolean().catch(false) +}).catch({ + name: 'Groq', + apiKey: '', + baseUrl: '', + useCustomUrl: false +}) + const ollamaModelSchema = z.object({ baseUrl: z.string().catch(''), model: z.string().catch(''), @@ -61,7 +193,34 @@ export const InfioSettingsSchema = z.object({ // Version version: z.literal(SETTINGS_SCHEMA_VERSION).catch(SETTINGS_SCHEMA_VERSION), - // activeModels + // Provider + defaultProvider: z.nativeEnum(ApiProvider).catch(ApiProvider.OpenRouter), + infioProvider: InfioProviderSchema, + openrouterProvider: OpenRouterProviderSchema, + siliconflowProvider: SiliconFlowProviderSchema, + alibabaQwenProvider: AlibabaQwenProviderSchema, + anthropicProvider: AnthropicProviderSchema, + deepseekProvider: DeepSeekProviderSchema, + openaiProvider: OpenAIProviderSchema, + googleProvider: GoogleProviderSchema, + ollamaProvider: OllamaProviderSchema, + groqProvider: GroqProviderSchema, + openaicompatibleProvider: OpenAICompatibleProviderSchema, + + // Chat Model + chatModelProvider: z.nativeEnum(ApiProvider).catch(ApiProvider.OpenRouter), + chatModelId: z.string().catch(''), + + // Apply Model + applyModelProvider: z.nativeEnum(ApiProvider).catch(ApiProvider.OpenRouter), + applyModelId: z.string().catch(''), + + // Embedding Model + embeddingModelProvider: z.nativeEnum(ApiProvider).catch(ApiProvider.Google), + embeddingModelId: z.string().catch(''), + + /// [compatible] + // activeModels [compatible] activeModels: z.array( z.object({ name: z.string(), @@ -74,17 +233,17 @@ export const InfioSettingsSchema = z.object({ dimension: z.number().optional(), }) ).catch(DEFAULT_MODELS), - - // API Keys + // API Keys [compatible] infioApiKey: z.string().catch(''), openAIApiKey: z.string().catch(''), anthropicApiKey: z.string().catch(''), geminiApiKey: z.string().catch(''), groqApiKey: z.string().catch(''), deepseekApiKey: z.string().catch(''), - - // DEFAULT Chat Model - chatModelId: z.string().catch('deepseek-chat'), + ollamaEmbeddingModel: ollamaModelSchema.catch({ + baseUrl: '', + model: '', + }), ollamaChatModel: ollamaModelSchema.catch({ baseUrl: '', model: '', @@ -94,9 +253,6 @@ export const InfioSettingsSchema = z.object({ apiKey: '', model: '', }), - - // DEFAULT Apply Model - applyModelId: z.string().catch('deepseek-chat'), ollamaApplyModel: ollamaModelSchema.catch({ baseUrl: '', model: '', @@ -107,15 +263,6 @@ export const InfioSettingsSchema = z.object({ model: '', }), - // DEFAULT Embedding Model - embeddingModelId: z.string().catch( - 'text-embedding-004', - ), - ollamaEmbeddingModel: ollamaModelSchema.catch({ - baseUrl: '', - model: '', - }), - // System Prompt systemPrompt: z.string().catch(''), @@ -132,10 +279,13 @@ export const InfioSettingsSchema = z.object({ // autocomplete options autocompleteEnabled: z.boolean(), advancedMode: z.boolean(), + + // [compatible] apiProvider: z.enum(['azure', 'openai', "ollama"]), azureOAIApiSettings: z.string().catch(''), openAIApiSettings: z.string().catch(''), ollamaApiSettings: z.string().catch(''), + triggers: z.array(triggerSchema), delay: z.number().int().min(MIN_DELAY, { message: "Delay must be between 0ms and 2000ms" }).max(MAX_DELAY, { message: "Delay must be between 0ms and 2000ms" }), modelOptions: modelOptionsSchema, diff --git a/src/utils/api.ts b/src/utils/api.ts new file mode 100644 index 0000000..305a1ae --- /dev/null +++ b/src/utils/api.ts @@ -0,0 +1,1202 @@ +import { ApiProvider } from '../types/llm/model' + +export interface ModelInfo { + maxTokens?: number + contextWindow?: number + supportsImages?: boolean + supportsComputerUse?: boolean + supportsPromptCache: boolean // this value is hardcoded for now + inputPrice?: number + outputPrice?: number + cacheWritesPrice?: number + cacheReadsPrice?: number + description?: string +} + +export interface EmbeddingModelInfo { + dimensions: number + description?: string +} + +// Infio +// https://infio.app/pricing +export type InfioModelId = keyof typeof infioModels +export const infioDefaultModelId: InfioModelId = "deepseek-chat" +export const infioModels = { + "deepseek-chat": { + maxTokens: 8_000, + contextWindow: 64_000, + supportsImages: false, + supportsPromptCache: true, // supports context caching, but not in the way anthropic does it (deepseek reports input tokens and reads/writes in the same usage report) FIXME: we need to show users cache stats how deepseek does it + inputPrice: 0, // technically there is no input price, it's all either a cache hit or miss (ApiOptions will not show this) + outputPrice: 0.28, + cacheWritesPrice: 0.14, + cacheReadsPrice: 0.014, + }, + "deepseek-reasoner": { + maxTokens: 8_000, + contextWindow: 64_000, + supportsImages: false, + supportsPromptCache: true, // supports context caching, but not in the way anthropic does it (deepseek reports input tokens and reads/writes in the same usage report) FIXME: we need to show users cache stats how deepseek does it + inputPrice: 0, // technically there is no input price, it's all either a cache hit or miss (ApiOptions will not show this) + outputPrice: 2.19, + cacheWritesPrice: 0.55, + cacheReadsPrice: 0.14, + }, + "o3-mini": { + maxTokens: 100_000, + contextWindow: 200_000, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.1, + outputPrice: 4.4, + }, + // don't support tool use yet + o1: { + maxTokens: 100_000, + contextWindow: 200_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 15, + outputPrice: 60, + }, + "o1-preview": { + maxTokens: 32_768, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 15, + outputPrice: 60, + }, + "o1-mini": { + maxTokens: 65_536, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 1.1, + outputPrice: 4.4, + }, + "gpt-4o": { + maxTokens: 4_096, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 2.5, + outputPrice: 10, + }, + "gpt-4o-mini": { + maxTokens: 16_384, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0.15, + outputPrice: 0.6, + }, +} as const satisfies Record + +// Anthropic +// https://docs.anthropic.com/en/docs/about-claude/models // prices updated 2025-01-02 +export type AnthropicModelId = keyof typeof anthropicModels +export const anthropicDefaultModelId: AnthropicModelId = "claude-3-5-sonnet-20241022" +export const anthropicModels = { + "claude-3-5-sonnet-20241022": { + maxTokens: 8192, + contextWindow: 200_000, + supportsImages: true, + supportsComputerUse: true, + supportsPromptCache: true, + inputPrice: 3.0, // $3 per million input tokens + outputPrice: 15.0, // $15 per million output tokens + cacheWritesPrice: 3.75, // $3.75 per million tokens + cacheReadsPrice: 0.3, // $0.30 per million tokens + }, + "claude-3-5-haiku-20241022": { + maxTokens: 8192, + contextWindow: 200_000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0.8, + outputPrice: 4.0, + cacheWritesPrice: 1.0, + cacheReadsPrice: 0.08, + }, + "claude-3-opus-20240229": { + maxTokens: 4096, + contextWindow: 200_000, + supportsImages: true, + supportsPromptCache: true, + inputPrice: 15.0, + outputPrice: 75.0, + cacheWritesPrice: 18.75, + cacheReadsPrice: 1.5, + }, + "claude-3-haiku-20240307": { + maxTokens: 4096, + contextWindow: 200_000, + supportsImages: true, + supportsPromptCache: true, + inputPrice: 0.25, + outputPrice: 1.25, + cacheWritesPrice: 0.3, + cacheReadsPrice: 0.03, + }, +} as const satisfies Record // as const assertion makes the object deeply readonly + +// OpenRouter +// https://openrouter.ai/models?order=newest&supported_parameters=tools +export const openRouterDefaultModelId = "anthropic/claude-3.5-sonnet" // will always exist in openRouterModels +export const openRouterDefaultModelInfo: ModelInfo = { + maxTokens: 8192, + contextWindow: 200_000, + supportsImages: true, + supportsComputerUse: true, + supportsPromptCache: true, + inputPrice: 3.0, + outputPrice: 15.0, + cacheWritesPrice: 3.75, + cacheReadsPrice: 0.3, + description: + "The new Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:\n\n- Coding: New Sonnet scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding\n- Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights\n- Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone\n- Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)\n\n#multimodal", +} + +// Gemini +// https://ai.google.dev/gemini-api/docs/models/gemini +export type GeminiModelId = keyof typeof geminiModels +export const geminiDefaultModelId: GeminiModelId = "gemini-2.0-flash-001" +export const geminiModels = { + "gemini-2.0-flash-001": { + maxTokens: 8192, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-2.0-flash-lite-preview-02-05": { + maxTokens: 8192, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-2.0-pro-exp-02-05": { + maxTokens: 8192, + contextWindow: 2_097_152, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-2.0-flash-thinking-exp-01-21": { + maxTokens: 65_536, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-2.0-flash-thinking-exp-1219": { + maxTokens: 8192, + contextWindow: 32_767, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-2.0-flash-exp": { + maxTokens: 8192, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-1.5-flash-002": { + maxTokens: 8192, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-1.5-flash-exp-0827": { + maxTokens: 8192, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-1.5-flash-8b-exp-0827": { + maxTokens: 8192, + contextWindow: 1_048_576, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-1.5-pro-002": { + maxTokens: 8192, + contextWindow: 2_097_152, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-1.5-pro-exp-0827": { + maxTokens: 8192, + contextWindow: 2_097_152, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemini-exp-1206": { + maxTokens: 8192, + contextWindow: 2_097_152, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, +} as const satisfies Record +export const geminiEmbeddingModels = { + "text-embedding-004": { + dimensions: 768, + description: "The text-embedding-004 model can generate advanced embeddings for words, phrases, and sentences. The resulting embeddings can then be used for tasks such as semantic search, text classification, clustering, and more." + } +} as const satisfies Record + +// OpenAI Native +// https://openai.com/api/pricing/ +export type OpenAiNativeModelId = keyof typeof openAiNativeModels +export const openAiNativeDefaultModelId: OpenAiNativeModelId = "gpt-4o" +export const openAiNativeModels = { + "o3-mini": { + maxTokens: 100_000, + contextWindow: 200_000, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.1, + outputPrice: 4.4, + }, + // don't support tool use yet + o1: { + maxTokens: 100_000, + contextWindow: 200_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 15, + outputPrice: 60, + }, + "o1-preview": { + maxTokens: 32_768, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 15, + outputPrice: 60, + }, + "o1-mini": { + maxTokens: 65_536, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 1.1, + outputPrice: 4.4, + }, + "gpt-4o": { + maxTokens: 4_096, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 2.5, + outputPrice: 10, + }, + "gpt-4o-mini": { + maxTokens: 16_384, + contextWindow: 128_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0.15, + outputPrice: 0.6, + }, +} as const satisfies Record +export const openAINativeEmbeddingModels = { + "text-embedding-3-small": { + dimensions: 1536, + description: "Increased performance over 2nd generation ada embedding model" + }, + "text-embedding-3-large": { + dimensions: 3072, + description: "Most capable embedding model for both English and non-English tasks" + }, + "text-embedding-ada-002": { + dimensions: 1536, + description: "Most capable 2nd generation embedding model, replacing 16 first generation models" + } +} as const satisfies Record + +// DeepSeek +// https://api-docs.deepseek.com/quick_start/pricing +export type DeepSeekModelId = keyof typeof deepSeekModels +export const deepSeekDefaultModelId: DeepSeekModelId = "deepseek-chat" +export const deepSeekModels = { + "deepseek-chat": { + maxTokens: 8_000, + contextWindow: 64_000, + supportsImages: false, + supportsPromptCache: true, // supports context caching, but not in the way anthropic does it (deepseek reports input tokens and reads/writes in the same usage report) FIXME: we need to show users cache stats how deepseek does it + inputPrice: 0, // technically there is no input price, it's all either a cache hit or miss (ApiOptions will not show this) + outputPrice: 0.28, + cacheWritesPrice: 0.14, + cacheReadsPrice: 0.014, + }, + "deepseek-reasoner": { + maxTokens: 8_000, + contextWindow: 64_000, + supportsImages: false, + supportsPromptCache: true, // supports context caching, but not in the way anthropic does it (deepseek reports input tokens and reads/writes in the same usage report) FIXME: we need to show users cache stats how deepseek does it + inputPrice: 0, // technically there is no input price, it's all either a cache hit or miss (ApiOptions will not show this) + outputPrice: 2.19, + cacheWritesPrice: 0.55, + cacheReadsPrice: 0.14, + }, +} as const satisfies Record + +// Qwen +// https://help.aliyun.com/zh/model-studio/getting-started/ +export type QwenModelId = keyof typeof qwenModels +export const qwenDefaultModelId: QwenModelId = "qwen-max-latest" +export const qwenModels = { + "qwen-coder-plus-latest": { + maxTokens: 129_024, + contextWindow: 131_072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 3.5, + outputPrice: 7, + cacheWritesPrice: 3.5, + cacheReadsPrice: 7, + }, + "qwen-plus-latest": { + maxTokens: 129_024, + contextWindow: 131_072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.8, + outputPrice: 2, + cacheWritesPrice: 0.8, + cacheReadsPrice: 0.2, + }, + "qwen-turbo-latest": { + maxTokens: 1_000_000, + contextWindow: 1_000_000, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.8, + outputPrice: 2, + cacheWritesPrice: 0.8, + cacheReadsPrice: 2, + }, + "qwen-max-latest": { + maxTokens: 30_720, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.4, + outputPrice: 9.6, + cacheWritesPrice: 2.4, + cacheReadsPrice: 9.6, + }, + "qwen-coder-plus": { + maxTokens: 129_024, + contextWindow: 131_072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 3.5, + outputPrice: 7, + cacheWritesPrice: 3.5, + cacheReadsPrice: 7, + }, + "qwen-plus": { + maxTokens: 129_024, + contextWindow: 131_072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.8, + outputPrice: 2, + cacheWritesPrice: 0.8, + cacheReadsPrice: 0.2, + }, + "qwen-turbo": { + maxTokens: 1_000_000, + contextWindow: 1_000_000, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.3, + outputPrice: 0.6, + cacheWritesPrice: 0.3, + cacheReadsPrice: 0.6, + }, + "qwen-max": { + maxTokens: 30_720, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.4, + outputPrice: 9.6, + cacheWritesPrice: 2.4, + cacheReadsPrice: 9.6, + }, + "deepseek-v3": { + maxTokens: 8_000, + contextWindow: 64_000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.28, + cacheWritesPrice: 0.14, + cacheReadsPrice: 0.014, + }, + "deepseek-r1": { + maxTokens: 8_000, + contextWindow: 64_000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 2.19, + cacheWritesPrice: 0.55, + cacheReadsPrice: 0.14, + }, + "qwen-vl-max": { + maxTokens: 30_720, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 3, + outputPrice: 9, + cacheWritesPrice: 3, + cacheReadsPrice: 9, + }, + "qwen-vl-max-latest": { + maxTokens: 129_024, + contextWindow: 131_072, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 3, + outputPrice: 9, + cacheWritesPrice: 3, + cacheReadsPrice: 9, + }, + "qwen-vl-plus": { + maxTokens: 6_000, + contextWindow: 8_000, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 1.5, + outputPrice: 4.5, + cacheWritesPrice: 1.5, + cacheReadsPrice: 4.5, + }, + "qwen-vl-plus-latest": { + maxTokens: 129_024, + contextWindow: 131_072, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 1.5, + outputPrice: 4.5, + cacheWritesPrice: 1.5, + cacheReadsPrice: 4.5, + }, +} as const satisfies Record +export const qwenEmbeddingModels = { + "text-embedding-v3": { + dimensions: 1024, + description: "支持50+主流语种，包括中文、英语、西班牙语、法语、葡萄牙语、印尼语、日语、韩语、德语、俄罗斯语等。最大行数20，单行最大处理8,192 Token。支持可选维度：1,024（默认）、768或512。单价：0.0007元/千Token。免费额度：50万Token（有效期180天）。" + }, + "text-embedding-v2": { + dimensions: 1536, + description: "支持多种语言，包括中文、英语、西班牙语、法语、葡萄牙语、印尼语、日语、韩语、德语、俄罗斯语。最大行数25，单行最大处理2,048 Token。" + }, + "text-embedding-v1": { + dimensions: 1536, + description: "支持中文、英语、西班牙语、法语、葡萄牙语、印尼语。" + }, + "text-embedding-async-v2": { + dimensions: 1536, + description: "异步处理大规模文本。支持中文、英语、西班牙语、法语、葡萄牙语、印尼语、日语、韩语、德语、俄罗斯语。" + }, + "text-embedding-async-v1": { + dimensions: 1536, + description: "异步处理大规模文本。支持中文、英语、西班牙语、法语、葡萄牙语、印尼语。" + } +} as const satisfies Record + +// bytedance volcengine +//https://api.volcengine.com/api-docs/view/overview + + +// SiliconFlow +// https://docs.siliconflow.cn/ +export type SiliconFlowModelId = keyof typeof siliconFlowModels +export const siliconFlowDefaultModelId: SiliconFlowModelId = "deepseek-ai/DeepSeek-V3" +export const siliconFlowModels = { + "01-ai/Yi-1.5-9B-Chat-16K": { + maxTokens: 8192, + contextWindow: 16_384, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "01-ai/Yi-1.5-34B-Chat-16K": { + maxTokens: 8192, + contextWindow: 16_384, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "google/gemma-2-9b-it": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "google/gemma-2-27b-it": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "Pro/google/gemma-2-9b-it": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "meta-llama/Meta-Llama-3.1-8B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "Pro/meta-llama/Meta-Llama-3.1-8B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "meta-llama/Meta-Llama-3.1-70B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.0, + outputPrice: 4.0, + }, + "meta-llama/Meta-Llama-3.1-405B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 5.0, + outputPrice: 10.0, + }, + "internlm/internlm2_5-20b-chat": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.8, + outputPrice: 1.6, + }, + "Qwen/Qwen2.5-72B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.0, + outputPrice: 4.0, + }, + "Qwen/Qwen2.5-7B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.4, + outputPrice: 0.8, + }, + "Qwen/Qwen2.5-14B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.6, + outputPrice: 1.2, + }, + "Qwen/Qwen2.5-32B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "Qwen/Qwen2.5-Coder-7B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.4, + outputPrice: 0.8, + }, + "TeleAI/TeleChat2": { + maxTokens: 4096, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.3, + outputPrice: 0.6, + }, + "Pro/Qwen/Qwen2.5-7B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.4, + outputPrice: 0.8, + }, + "Qwen/Qwen2.5-72B-Instruct-128K": { + maxTokens: 8192, + contextWindow: 128_000, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.0, + outputPrice: 4.0, + }, + "Qwen/Qwen2-VL-72B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 2.5, + outputPrice: 5.0, + }, + "OpenGVLab/InternVL2-26B": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "Pro/BAAI/bge-m3": { + maxTokens: 4096, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.3, + outputPrice: 0.6, + }, + "Pro/OpenGVLab/InternVL2-8B": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "Vendor-A/Qwen/Qwen2.5-72B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.0, + outputPrice: 4.0, + }, + "Pro/Qwen/Qwen2-VL-7B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "LoRA/Qwen/Qwen2.5-7B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.4, + outputPrice: 0.8, + }, + "Pro/Qwen/Qwen2.5-Coder-7B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.4, + outputPrice: 0.8, + }, + "LoRA/Qwen/Qwen2.5-72B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.0, + outputPrice: 4.0, + }, + "Qwen/Qwen2.5-Coder-32B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "Pro/BAAI/bge-reranker-v2-m3": { + maxTokens: 4096, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.3, + outputPrice: 0.6, + }, + "Qwen/QwQ-32B-Preview": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "AIDC-AI/Marco-o1": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "LoRA/Qwen/Qwen2.5-14B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.6, + outputPrice: 1.2, + }, + "LoRA/Qwen/Qwen2.5-32B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 1.0, + outputPrice: 2.0, + }, + "meta-llama/Llama-3.3-70B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 2.0, + outputPrice: 4.0, + }, + "LoRA/meta-llama/Meta-Llama-3.1-8B-Instruct": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "deepseek-ai/deepseek-vl2": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0.5, + outputPrice: 1.0, + }, + "Qwen/QVQ-72B-Preview": { + maxTokens: 8192, + contextWindow: 32_768, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 2.5, + outputPrice: 5.0, + }, + "deepseek-ai/DeepSeek-V3": { + maxTokens: 8000, + contextWindow: 64000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.28, + cacheWritesPrice: 0.14, + cacheReadsPrice: 0.014, + }, + "deepseek-ai/DeepSeek-R1": { + maxTokens: 8000, + contextWindow: 64000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 2.19, + cacheWritesPrice: 0.55, + cacheReadsPrice: 0.14, + }, + "Pro/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B": { + maxTokens: 4096, + contextWindow: 16_384, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.2, + cacheWritesPrice: 0.1, + cacheReadsPrice: 0.01, + }, + "Pro/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.4, + cacheWritesPrice: 0.2, + cacheReadsPrice: 0.02, + }, + "Pro/deepseek-ai/DeepSeek-R1-Distill-Llama-8B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.4, + cacheWritesPrice: 0.2, + cacheReadsPrice: 0.02, + }, + "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.6, + cacheWritesPrice: 0.3, + cacheReadsPrice: 0.03, + }, + "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 1.0, + cacheWritesPrice: 0.5, + cacheReadsPrice: 0.05, + }, + "deepseek-ai/DeepSeek-R1-Distill-Llama-70B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 2.0, + cacheWritesPrice: 1.0, + cacheReadsPrice: 0.1, + }, + "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B": { + maxTokens: 4096, + contextWindow: 16_384, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.2, + cacheWritesPrice: 0.1, + cacheReadsPrice: 0.01, + }, + "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.4, + cacheWritesPrice: 0.2, + cacheReadsPrice: 0.02, + }, + "deepseek-ai/DeepSeek-R1-Distill-Llama-8B": { + maxTokens: 8000, + contextWindow: 32_768, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.4, + cacheWritesPrice: 0.2, + cacheReadsPrice: 0.02, + }, + "Pro/deepseek-ai/DeepSeek-R1": { + maxTokens: 8000, + contextWindow: 64000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 2.19, + cacheWritesPrice: 0.55, + cacheReadsPrice: 0.14, + }, + "Pro/deepseek-ai/DeepSeek-V3": { + maxTokens: 8000, + contextWindow: 64000, + supportsImages: false, + supportsPromptCache: true, + inputPrice: 0, + outputPrice: 0.28, + cacheWritesPrice: 0.14, + cacheReadsPrice: 0.014, + } +} as const satisfies Record + +export const siliconFlowEmbeddingModels = { + "BAAI/bge-m3": { + dimensions: 1024, + description: "BGE-M3 是一个多功能、多语言、多粒度的文本嵌入模型。它支持三种常见的检索功能：密集检索、多向量检索和稀疏检索。该模型可以处理超过100种语言，并且能够处理从短句到长达8192个词元的长文档等不同粒度的输入。BGE-M3在多语言和跨语言检索任务中表现出色，在 MIRACL 和 MKQA 等基准测试中取得了领先结果。它还具有处理长文档检索的能力，在 MLDR 和 NarritiveQA 等数据集上展现了优秀性能" + }, + "netease-youdao/bce-embedding-base_v1": { + dimensions: 768, + description: "bce-embedding-base_v1 是由网易有道开发的双语和跨语言嵌入模型。该模型在中英文语义表示和检索任务中表现出色，尤其擅长跨语言场景。它是为检索增强生成（RAG）系统优化的，可以直接应用于教育、医疗、法律等多个领域。该模型不需要特定指令即可使用，能够高效地生成语义向量，为语义搜索和问答系统提供关键支持" + }, + "BAAI/bge-large-zh-v1.5": { + dimensions: 1024, + description: "BAAI/bge-large-zh-v1.5 是一个大型中文文本嵌入模型，是 BGE (BAAI General Embedding) 系列的一部分。该模型在 C-MTEB 基准测试中表现出色，在 31 个数据集上的平均得分为 64.53，在检索、语义相似度、文本对分类等多个任务中都取得了优异成绩。它支持最大 512 个 token 的输入长度，适用于各种中文自然语言处理任务，如文本检索、语义相似度计算等" + }, + "BAAI/bge-large-en-v1.5": { + dimensions: 1024, + description: "BAAI/bge-large-en-v1.5 是一个大型英文文本嵌入模型，是 BGE (BAAI General Embedding) 系列的一部分。它在 MTEB 基准测试中取得了优异的表现，在 56 个数据集上的平均得分为 64.23，在检索、聚类、文本对分类等多个任务中表现出色。该模型支持最大 512 个 token 的输入长度，适用于各种自然语言处理任务，如文本检索、语义相似度计算等" + }, + "Pro/BAAI/bge-m3": { + dimensions: 1024, + description: "BGE-M3 是一个多功能、多语言、多粒度的文本嵌入模型。它支持三种常见的检索功能：密集检索、多向量检索和稀疏检索。该模型可以处理超过100种语言，并且能够处理从短句到长达8192个词元的长文档等不同粒度的输入。BGE-M3在多语言和跨语言检索任务中表现出色，在 MIRACL 和 MKQA 等基准测试中取得了领先结果。它还具有处理长文档检索的能力，在 MLDR 和 NarritiveQA 等数据集上展现了优秀性能" + } +} as const satisfies Record + +// Groq +// https://console.groq.com/docs/overview +export type GroqModelId = keyof typeof groqModels +export const groqDefaultModelId: GroqModelId = "llama-3.3-70b-versatile" +export const groqModels = { + "llama-3.2-1b-preview": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-3.1-8b-instant": { + maxTokens: 4096, + contextWindow: 131072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "mixtral-8x7b-32768": { + maxTokens: 4096, + contextWindow: 32768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-3.3-70b-versatile": { + maxTokens: 4096, + contextWindow: 32768, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-guard-3-8b": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama3-70b-8192": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-3.3-70b-specdec": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama3-8b-8192": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-3.2-11b-vision-preview": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "deepseek-r1-distill-llama-70b": { + maxTokens: 4096, + contextWindow: 131072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-3.2-3b-preview": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "qwen-2.5-coder-32b": { + maxTokens: 4096, + contextWindow: 131072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "gemma2-9b-it": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "deepseek-r1-distill-qwen-32b": { + maxTokens: 4096, + contextWindow: 131072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "qwen-2.5-32b": { + maxTokens: 4096, + contextWindow: 131072, + supportsImages: false, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, + "llama-3.2-90b-vision-preview": { + maxTokens: 4096, + contextWindow: 8192, + supportsImages: true, + supportsPromptCache: false, + inputPrice: 0, + outputPrice: 0, + }, +} as const satisfies Record + +/// helper functions +// get all providers +export const GetAllProviders = (): ApiProvider[] => { + return Object.values(ApiProvider) +} + +export const GetEmbeddingProviders = (): ApiProvider[] => { + return [ + ApiProvider.OpenAI, + ApiProvider.SiliconFlow, + ApiProvider.Google, + ApiProvider.AlibabaQwen + ] +} +// Get all models for a provider +export const GetProviderModels = (provider: ApiProvider): Record => { + switch (provider) { + case ApiProvider.Infio: + return infioModels + case ApiProvider.OpenRouter: + return {} + case ApiProvider.OpenAI: + return openAiNativeModels + case ApiProvider.AlibabaQwen: + return qwenModels + case ApiProvider.SiliconFlow: + return siliconFlowModels + case ApiProvider.Anthropic: + return anthropicModels + case ApiProvider.Deepseek: + return deepSeekModels + case ApiProvider.Google: + return geminiModels + case ApiProvider.Groq: + return groqModels + case ApiProvider.Ollama: + return {} + case ApiProvider.OpenAICompatible: + return {} + default: + return {} + } +} +// Get all models for a provider +export const GetEmbeddingProviderModels = (provider: ApiProvider): Record => { + switch (provider) { + case ApiProvider.Google: + return geminiEmbeddingModels + case ApiProvider.SiliconFlow: + return siliconFlowEmbeddingModels + case ApiProvider.OpenAI: + return openAINativeEmbeddingModels; + case ApiProvider.AlibabaQwen: + return qwenEmbeddingModels; + default: + return {} + } +} +// Get all model ids for a provider +export const GetProviderModelIds = (provider: ApiProvider): string[] => { + return Object.keys(GetProviderModels(provider)) +} + +export const GetEmbeddingProviderModelIds = (provider: ApiProvider): string[] => { + return Object.keys(GetEmbeddingProviderModels(provider)) +} + +export const GetEmbeddingModelInfo = (provider: ApiProvider, modelId: string): EmbeddingModelInfo => { + const models = GetEmbeddingProviderModels(provider) + return models[modelId] +} diff --git a/src/utils/price-calculator.ts b/src/utils/price-calculator.ts index c070caa..c159a8a 100644 --- a/src/utils/price-calculator.ts +++ b/src/utils/price-calculator.ts @@ -1,58 +1,24 @@ -import { - ANTHROPIC_PRICES, - GEMINI_PRICES, - GROQ_PRICES, - OPENAI_PRICES, -} from '../constants' -import { CustomLLMModel } from '../types/llm/model' +import { LLMModel } from '../types/llm/model' import { ResponseUsage } from '../types/llm/response' +import { GetProviderModels } from './api' + // Returns the cost in dollars. Returns null if the model is not supported. export const calculateLLMCost = ({ model, usage, }: { - model: CustomLLMModel + model: LLMModel usage: ResponseUsage }): number | null => { - switch (model.provider) { - case 'openai': { - const modelPricing = OPENAI_PRICES[model.name] - if (!modelPricing) return null - return ( - (usage.prompt_tokens * modelPricing.input + - usage.completion_tokens * modelPricing.output) / - 1_000_000 - ) - } - case 'anthropic': { - const modelPricing = ANTHROPIC_PRICES[model.name] - if (!modelPricing) return null - return ( - (usage.prompt_tokens * modelPricing.input + - usage.completion_tokens * modelPricing.output) / - 1_000_000 - ) - } - case 'gemini': { - const modelPricing = GEMINI_PRICES[model.name] - if (!modelPricing) return null - return ( - (usage.prompt_tokens * modelPricing.input + - usage.completion_tokens * modelPricing.output) / - 1_000_000 - ) - } - case 'groq': { - const modelPricing = GROQ_PRICES[model.name] - if (!modelPricing) return null - return ( - (usage.prompt_tokens * modelPricing.input + - usage.completion_tokens * modelPricing.output) / - 1_000_000 - ) - } - default: - return null + const providerModels = GetProviderModels(model.provider) + if (!providerModels) { + return null } + const modelInfo = providerModels[model.modelId] + if (!modelInfo) { + return null + } + const cost = modelInfo.inputPrice * usage.prompt_tokens + modelInfo.outputPrice * usage.completion_tokens + return cost } diff --git a/styles.css b/styles.css index a7bcfec..d0445b3 100644 --- a/styles.css +++ b/styles.css @@ -1092,7 +1092,7 @@ input[type='text'].infio-chat-list-dropdown-item-title-input { justify-content: center; align-items: center; height: 100%; - margin: 0; + margin-top: 5px !important; /* 使用 !important 强制生效 */ } .infio-llm-model-settings-table .switch { @@ -1107,6 +1107,10 @@ input[type='text'].infio-chat-list-dropdown-item-title-input { margin-top: 20px; } +.infio-provider { + margin-top: 20px; +} + .infio-llm-chat-setting-title { border-top: 1px solid var(--background-modifier-border); } @@ -1119,9 +1123,171 @@ input[type='text'].infio-chat-list-dropdown-item-title-input { margin-bottom: 3px; } +.infio-llm-setting-checkbox-name { + font-weight: bold; + color: var(--inline-title-color); +} + +.infio-llm-setting-select-trigger { + display: inline-flex; + align-items: center; + justify-content: space-between; + padding: var(--size-2-1) var(--size-4-1); + font-size: var(--font-ui-smaller); + color: var(--text-normal); + background-color: var(--background-primary); + border: 1px solid var(--background-modifier-border); + border-radius: var(--radius-s); + cursor: pointer; + width: 100%; + margin-bottom: var(--size-4-1); +} + +.infio-llm-setting-select-content { + overflow: hidden; + background-color: var(--background-primary); + border: 1px solid var(--background-modifier-border); + border-radius: var(--radius-s); + box-shadow: var(--shadow-s); +} + +.infio-llm-setting-select-item { + font-size: var(--font-ui-smaller); + color: var(--text-normal); + padding: var(--size-2-1) var(--size-4-2); + display: flex; + align-items: center; + justify-content: space-between; + cursor: pointer; + outline: none; +} + +.infio-llm-setting-select-item:hover { + background-color: var(--background-modifier-hover); +} + +.infio-llm-setting-select-item[data-highlighted] { + background-color: var(--background-modifier-hover); + color: var(--text-normal); +} + +.infio-llm-setting-select-indicator { + color: var(--text-accent); + padding-left: var(--size-4-1); +} + +.iinfio-llm-setting-divider { + margin-top: 14px; +} + +.infio-llm-setting-slider-round { + font-weight: bold; + color: var(--inline-title-color); +} + .infio-llm-setting-item-control { width: 50%; /* Adjust the width as needed */ max-width: 100%; /* Ensures it doesn't exceed the parent width */ + background-color: var(--background-primary); + color: var(--text-normal); + border: 1px solid var(--background-modifier-border); + border-radius: var(--radius-s); + padding: var(--size-2-1); +} + +.infio-llm-setting-model-id { + color: var(--text-accent); +} + +/* Add hover and focus states for better interactivity */ +.infio-llm-setting-item-control:hover { + border-color: var(--background-modifier-border-hover); +} + +.infio-llm-setting-item-control:focus { + border-color: var(--background-modifier-border-focus); + outline: none; +} + +.infio-llm-setting-combobox-dropdown { + margin-top: 4px; + max-height: 200px; + overflow-y: auto; + background-color: var(--background-primary); + color: var(--text-normal); + border: 1px solid var(--background-modifier-border); + border-radius: 0; + z-index: 1000; + padding: 2px 0; + box-shadow: var(--shadow-s); + width: var(--radix-popover-trigger-width); + min-width: var(--radix-popover-trigger-width); +} + + +/* 添加容器样式使 select 和 input 在同一行 */ +.infio-llm-setting-search-container { + display: flex; + gap: 2px; + align-items: center; +} + +.infio-llm-setting-provider-switch { + width: 26%; + border-radius: 0; + margin: 0; + margin-left: 1px; + padding: 0; + background-color: var(--background-secondary); + /* outline: none; */ + text-align: center; + text-align-last: center; + color: var(--text-accent); +} + +.infio-llm-setting-provider-switch:focus { + /* border: none; */ + outline: none; + box-shadow: none; +} + +.infio-llm-setting-item-search { + width: 74%; + border: none; + margin: 0; + padding: 0; + /* background-color: var(--background-secondary); */ + outline: none; + border-radius: 0 !important; + -webkit-border-radius: 0 !important; + -moz-border-radius: 0 !important; + -ms-border-radius: 0 !important; +} + +.infio-llm-setting-item-search:focus { + border: none; + outline: none; + box-shadow: none; +} + +.infio-llm-setting-combobox-option { + padding: 8px 12px; + cursor: pointer; + background-color: transparent; +} + +.infio-llm-setting-combobox-option:hover { + background-color: var(--background-modifier-hover); +} + +/* + * Highlight styles + */ +.infio-llm-setting-model-item-highlight { + background-color: var(--text-highlight-bg); + color: var(--text-normal); + border-radius: var(--radius-s); + padding: 0 2px; } .infio-llm-setting-item-control::placeholder {