added web-llm as llm provider

package.json

@@ -27,6 +27,7 @@
     "@ffmpeg/ffmpeg": "^0.12.10",
     "@ffmpeg/util": "^0.12.1",
     "@material-tailwind/react": "^2.1.9",
+    "@mlc-ai/web-llm": "^0.2.73",
     "@plasmohq/messaging": "^0.6.2",
     "@plasmohq/storage": "^1.9.3",
     "@react-hooks-library/core": "^0.5.2",

src/contents/index/mounter.tsx

@@ -173,7 +173,7 @@ function createApp(roomId: string, plasmo: PlasmoSpec, info: StreamInfo): App {
                             onClick: () => this.start()
                         },
                         position: 'top-left',
-                        duration: 6000000,
+                        duration: Infinity,
                         dismissible: false
                     })
                     return

src/llms/cloudflare-ai.ts

@@ -41,7 +41,7 @@ export default class CloudFlareAI implements LLMProviders {
         console.warn('Cloudflare AI session is not supported')
         return {
             ...this,
-            [Symbol.dispose]: () => { }
+            [Symbol.asyncDispose]: async () => { }
         }
     }
 

src/llms/gemini-nano.ts

@@ -19,7 +19,7 @@ export default class GeminiNano implements LLMProviders {
             return session.prompt(chat)
         } finally {
             console.debug('[gemini nano] done')
-            session[Symbol.dispose]()
+            await session[Symbol.asyncDispose]()
         }
     }
 
@@ -33,7 +33,7 @@ export default class GeminiNano implements LLMProviders {
             }
         } finally {
             console.debug('[gemini nano] done')
-            session[Symbol.dispose]()
+            await session[Symbol.asyncDispose]()
         }
     }
 
@@ -82,7 +82,7 @@ class GeminiAssistant implements Session<LLMProviders> {
         }
     }
 
-    [Symbol.dispose](): void {
+    async [Symbol.asyncDispose]() {
         this.assistant.destroy()
     }
 }
@@ -105,7 +105,7 @@ class GeminiSummarizer implements Session<LLMProviders> {
         }
     }
 
-    [Symbol.dispose](): void {
+    async [Symbol.asyncDispose]() {
         this.summarizer.destroy()
     }
 

src/llms/index.ts

@@ -3,6 +3,7 @@ import type { SettingSchema as LLMSchema } from '~options/fragments/llm'
 import cloudflare from './cloudflare-ai'
 import nano from './gemini-nano'
 import worker from './remote-worker'
+import webllm from './web-llm'
 
 export interface LLMProviders {
     cumulative: boolean
@@ -12,12 +13,13 @@ export interface LLMProviders {
     asSession(): Promise<Session<LLMProviders>>
 }
 
-export type Session<T> = Disposable & Omit<T, 'asSession' | 'validate' | 'cumulative'>
+export type Session<T> = AsyncDisposable & Omit<T, 'asSession' | 'validate' | 'cumulative'>
 
 const llms = {
     cloudflare,
     nano,
-    worker
+    worker,
+    webllm
 }
 
 export type LLMs = typeof llms

src/llms/models.ts

@@ -0,0 +1,32 @@
+import type { LLMTypes } from "~llms"
+
+export type ModelList = {
+    providers: LLMTypes[]
+    models: string[]
+}
+
+const models: ModelList[] = [
+    {
+        providers: ['worker', 'cloudflare'],
+        models: [
+            '@cf/qwen/qwen1.5-14b-chat-awq',
+            '@cf/qwen/qwen1.5-7b-chat-awq',
+            '@cf/qwen/qwen1.5-1.8b-chat',
+            '@hf/google/gemma-7b-it',
+            '@hf/nousresearch/hermes-2-pro-mistral-7b'
+        ]
+    },
+    {
+        providers: [ 'webllm' ],
+        models: [
+            'Qwen2-7B-Instruct-q4f32_1-MLC',
+            'Llama-3.1-8B-Instruct-q4f32_1-MLC',
+            'Qwen2.5-14B-Instruct-q4f16_1-MLC',
+            'gemma-2-9b-it-q4f16_1-MLC',
+            'Qwen2.5-3B-Instruct-q0f16-MLC'
+        ]
+    }
+]
+
+
+export default models

src/llms/remote-worker.ts

@@ -54,7 +54,7 @@ export default class RemoteWorker implements LLMProviders {
         console.warn('Remote worker session is not supported')
         return {
             ...this,
-            [Symbol.dispose]: () => { }
+            [Symbol.asyncDispose]: async () => { }
         }
     }
 

src/llms/web-llm.ts

@@ -0,0 +1,84 @@
+import { CreateMLCEngine, MLCEngine } from "@mlc-ai/web-llm";
+import type { LLMProviders, Session } from "~llms";
+import type { SettingSchema } from "~options/fragments/llm";
+
+
+export default class WebLLM implements LLMProviders {
+
+    private static readonly DEFAULT_MODEL: string = 'Qwen2-7B-Instruct-q4f32_1-MLC'
+
+    private readonly model: string
+    private readonly engine: MLCEngine
+
+    constructor(settings: SettingSchema) {
+        this.model = settings.model || WebLLM.DEFAULT_MODEL
+        this.engine = new MLCEngine()
+    }
+
+    cumulative: boolean = true
+
+    async validate(): Promise<void> {
+        await this.engine.reload(this.model)
+    }
+
+    async prompt(chat: string): Promise<string> {
+        const session = await this.asSession()
+        try {
+            console.debug('[web-llm] prompting: ', chat)
+            return session.prompt(chat)
+        } finally {
+            console.debug('[web-llm] done')
+            await session[Symbol.asyncDispose]()
+        }
+    }
+
+    async *promptStream(chat: string): AsyncGenerator<string> {
+        const session = await this.asSession()
+        try {
+            console.debug('[web-llm] prompting stream: ', chat)
+            const res = session.promptStream(chat)
+            for await (const chunk of res) {
+                yield chunk
+            }
+        } finally {
+            console.debug('[web-llm] done')
+            await session[Symbol.asyncDispose]()
+        }
+    }
+
+    async asSession(): Promise<Session<LLMProviders>> {
+        const engine = await CreateMLCEngine(this.model, {
+            initProgressCallback: (progress) => {
+                console.log('初始化进度:', progress)
+            }
+        })
+        return {
+            async prompt(chat: string) {
+                await engine.interruptGenerate()
+                const c = await engine.completions.create({
+                    prompt: chat,
+                    max_tokens: 512,
+                    temperature: 0.2,
+                })
+                return c.choices[0]?.text ?? engine.getMessage()
+            },
+            async *promptStream(chat: string): AsyncGenerator<string> {
+                await engine.interruptGenerate()
+                const chunks = await engine.completions.create({
+                    prompt: chat,
+                    max_tokens: 512,
+                    temperature: 0.2,
+                    stream: true
+                })
+                for await (const chunk of chunks) {
+                    yield chunk.choices[0]?.text|| "";
+                    if (chunk.usage) {
+                        console.debug('Usage:', chunk.usage)
+                    }
+                }
+            },
+            [Symbol.asyncDispose]: engine.unload
+        }
+    }
+
+}

src/options/components/Selector.tsx

@@ -15,6 +15,7 @@ export type SelectorProps<T> = {
     disabled?: boolean
     options: SelectorOption<T>[]
     className?: string
+    emptyValue?: string
 }
 
 
@@ -37,7 +38,7 @@ function Selector<T = any>(props: SelectorProps<T>): JSX.Element {
             <label className="text-sm ml-1 font-medium text-gray-900 dark:text-white">{props.label}</label>
             <div ref={dropdownRef} className={`mt-2 ${props.disabled ? 'cursor-not-allowed' : 'cursor-pointer'}`} onClick={() => !props.disabled && setOpen(!isOpen)}>
                 <div className={`inline-flex justify-between h-full w-full rounded-md border border-gray-300 dark:border-gray-600 shadow-sm px-4 py-2 text-sm font-medium text-gray-700 dark:text-white ${props.disabled ? 'opacity-50 bg-transparent' : 'bg-white dark:bg-gray-800 hover:bg-gray-50 dark:hover:bg-gray-900'} focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-offset-gray-100 dark:focus:ring-gray-500`}>
-                    {props.options.find((option) => option.value === props.value)?.label ?? String(props.value)}
+                    {props.options.find((option) => option.value === props.value)?.label || String(props.value || (props.emptyValue || '请选择'))}
                     <svg className="-mr-1 ml-2 h-5 w-5" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor" aria-hidden="true">
                         <path fillRule="evenodd" d="M5.293 7.293a1 1 0 011.414 0L10 10.586l3.293-3.293a1 1 0 111.414 1.414l-4 4a1 1 0 01-1.414 0l-4-4a1 1 0 010-1.414z" clipRule="evenodd" />
                     </svg>

src/options/fragments/llm.tsx

@@ -1,9 +1,10 @@
 import { Button, Input, Tooltip, Typography } from "@material-tailwind/react"
-import { Fragment, useState, type ChangeEvent, type ReactNode } from "react"
+import { Fragment, useMemo, useState, type ChangeEvent, type ReactNode } from "react"
 import { toast } from "sonner/dist"
 import type { StateProxy } from "~hooks/binding"
 import type { LLMTypes } from "~llms"
 import createLLMProvider from "~llms"
+import models from "~llms/models"
 import Selector from "~options/components/Selector"
 
 export type SettingSchema = {
@@ -57,31 +58,53 @@ function LLMSettings({ state, useHandler }: StateProxy<SettingSchema>): JSX.Elem
     const [validating, setValidating] = useState(false)
     const handler = useHandler<ChangeEvent<HTMLInputElement>, string>((e) => e.target.value)
 
+    const selectableModels = useMemo(
+        () => models
+            .filter(({ providers }) => providers.includes(state.provider))
+            .flatMap(({ models }) => models)
+            .map(model => ({ label: model, value: model })),
+        [state.provider]
+    )
+
+    const onSwitchProvider = (provider: LLMTypes) => {
+        state.provider = provider
+        state.model = undefined // reset model
+        if (provider === 'webllm') {
+            toast.info('使用 WEBLLM 时，请确保你的电脑拥有足够的算力以供 AI 运行。')
+        }
+    }
+
     const onValidate = async () => {
         setValidating(true)
-        try {
-            const provider = createLLMProvider(state)
-            await provider.validate()
-            toast.success('配置可用！')
-        } catch (e) {
-            toast.error('配置不可用: ' + e.message)
-        } finally {
-            setValidating(false)
-        }
+        const provider = createLLMProvider(state)
+        const validation = provider.validate()
+        toast.dismiss()
+        toast.promise(validation, {
+            loading: '正在验证配置...',
+            success: '配置可用！',
+            error: err => '配置不可用: ' + (err.message ?? err),
+            position: 'bottom-center',
+            duration: Infinity,
+            finally: () => setValidating(false)
+        })
     }
 
+    console.log('provider: ', state.provider)
+    console.log('model: ', state.model)
+
     return (
         <Fragment>
             <Selector<typeof state.provider>
                 className="col-span-2"
                 data-testid="ai-provider"
                 label="技术提供"
                 value={state.provider}
-                onChange={e => state.provider = e}
+                onChange={onSwitchProvider}
                 options={[
-                    { label: 'Cloudflare AI', value: 'cloudflare' },
-                    { label: '公共服务器', value: 'worker' },
-                    { label: 'Chrome 浏览器内置 AI', value: 'nano' }
+                    { label: 'Cloudflare AI (云)', value: 'cloudflare' },
+                    { label: '公共服务器 (云)', value: 'worker' },
+                    { label: 'Chrome 浏览器内置 AI (本地)', value: 'nano' },
+                    { label: 'Web LLM (本地)', value: 'webllm' }
                 ]}
             />
             {state.provider === 'cloudflare' && (
@@ -110,27 +133,22 @@ function LLMSettings({ state, useHandler }: StateProxy<SettingSchema>): JSX.Elem
                     />
                 </Fragment>
             )}
-            {['cloudflare', 'worker'].includes(state.provider) && (
+            {state.provider === 'nano' && (
+                <Hints>
+                    <Typography className="underline" as="a" href="https://juejin.cn/post/7401036139384143910" target="_blank">点击此处</Typography>
+                    查看如何启用 Chrome 浏览器内置 AI
+                </Hints>
+            )}
+            {selectableModels.length > 0 && (
                 <Selector<string>
                     data-testid="ai-model"
                     label="模型提供"
                     value={state.model}
                     onChange={e => state.model = e}
-                    options={[
-                        { label: '@cf/qwen/qwen1.5-14b-chat-awq', value: '@cf/qwen/qwen1.5-14b-chat-awq' },
-                        { label: '@cf/qwen/qwen1.5-7b-chat-awq', value: '@cf/qwen/qwen1.5-7b-chat-awq' },
-                        { label: '@cf/qwen/qwen1.5-1.8b-chat', value: '@cf/qwen/qwen1.5-1.8b-chat' },
-                        { label: '@hf/google/gemma-7b-it', value: '@hf/google/gemma-7b-it' },
-                        { label: '@hf/nousresearch/hermes-2-pro-mistral-7b', value: '@hf/nousresearch/hermes-2-pro-mistral-7b' }
-                    ]}
+                    options={selectableModels}
+                    emptyValue="默认"
                 />
             )}
-            {state.provider === 'nano' && (
-                <Hints>
-                    <Typography className="underline" as="a" href="https://juejin.cn/post/7401036139384143910" target="_blank">点击此处</Typography>
-                    查看如何启用 Chrome 浏览器内置 AI
-                </Hints>
-            )}
             <div className="col-span-2">
                 <Button disabled={validating} onClick={onValidate} color="blue" size="lg" className="group flex items-center justify-center gap-3 text-[1rem] hover:shadow-lg">
                     验证是否可用