From df8ff16d4fac48f464b435d8c42e8ae9f0489959 Mon Sep 17 00:00:00 2001 From: Sudheer Tripathi Date: Sun, 13 Jul 2025 15:11:18 +0530 Subject: [PATCH 1/2] feat: store server api key on client side --- package-lock.json | 1019 +++++++++++++++++++++++- package.json | 2 + src/background/service.ts | 139 +++- src/background/services/llm.ts | 73 ++ src/background/services/prompts.ts | 114 +++ src/background/services/types.ts | 4 + src/components/LogYouIn.vue | 12 +- src/content-script/index.ts | 4 +- src/stores/settings.store.ts | 107 +-- src/types/common.ts | 1 + src/ui/action-popup/pages/index.vue | 2 +- src/ui/options-page/pages/settings.vue | 19 + src/ui/setup/pages/install.vue | 15 +- src/utils/auth.ts | 26 +- 14 files changed, 1330 insertions(+), 207 deletions(-) create mode 100644 src/background/services/llm.ts create mode 100644 src/background/services/prompts.ts create mode 100644 src/background/services/types.ts diff --git a/package-lock.json b/package-lock.json index 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"@protobufjs/eventemitter": "^1.1.0", + "@protobufjs/fetch": "^1.1.0", + "@protobufjs/float": "^1.0.2", + "@protobufjs/inquire": "^1.1.0", + "@protobufjs/path": "^1.1.2", + "@protobufjs/pool": "^1.1.0", + "@protobufjs/utf8": "^1.1.0", + "@types/node": ">=13.7.0", + "long": "^5.0.0" + }, + "engines": { + "node": ">=12.0.0" + } + }, "node_modules/punycode": { "version": "2.3.1", "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz", @@ -10043,6 +10909,23 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/roarr": { + "version": "2.15.4", + "resolved": "https://registry.npmjs.org/roarr/-/roarr-2.15.4.tgz", + "integrity": "sha512-CHhPh+UNHD2GTXNYhPWLnU8ONHdI+5DI+4EYIAOaiD63rHeYlZvyh8P+in5999TTSFgUYuKUAjzRI4mdh/p+2A==", + "license": "BSD-3-Clause", + "dependencies": { + "boolean": "^3.0.1", + "detect-node": "^2.0.4", + "globalthis": "^1.0.1", + "json-stringify-safe": "^5.0.1", + "semver-compare": "^1.0.0", + "sprintf-js": "^1.1.2" + }, + "engines": { + "node": ">=8.0" + } + }, "node_modules/rollup": { "version": "4.34.8", "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.34.8.tgz", @@ -10189,10 +11072,9 @@ "license": "MIT" }, "node_modules/semver": { - "version": "7.7.1", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.1.tgz", - "integrity": "sha512-hlq8tAfn0m/61p4BVRcPzIGr6LKiMwo4VM6dGi6pt4qcRkmNzTcWq6eCEjEh+qXjkMDvPlOFFSGwQjoEa6gyMA==", - "dev": true, + "version": "7.7.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.2.tgz", + "integrity": "sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==", "license": "ISC", "bin": { "semver": "bin/semver.js" @@ -10201,6 +11083,12 @@ "node": ">=10" } }, + "node_modules/semver-compare": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/semver-compare/-/semver-compare-1.0.0.tgz", + "integrity": "sha512-YM3/ITh2MJ5MtzaM429anh+x2jiLVjqILF4m4oyQB18W7Ggea7BfqdH/wGMK7dDiMghv/6WG7znWMwUDzJiXow==", + 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+ "node": ">=8" + } + }, "node_modules/shebang-command": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz", @@ -10293,6 +11232,21 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/simple-swizzle": { + "version": "0.2.2", + "resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.2.tgz", + "integrity": "sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==", + "license": "MIT", + "dependencies": { + "is-arrayish": "^0.3.1" + } + }, + "node_modules/simple-swizzle/node_modules/is-arrayish": { + "version": "0.3.2", + "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.3.2.tgz", + "integrity": "sha512-eVRqCvVlZbuw3GrM63ovNSNAeA1K16kaR/LRY/92w0zxQ5/1YzwblUX652i4Xs9RwAGjW9d9y6X88t8OaAJfWQ==", + "license": "MIT" + }, "node_modules/sirv": { "version": "3.0.1", "resolved": "https://registry.npmjs.org/sirv/-/sirv-3.0.1.tgz", @@ -10393,6 +11347,12 @@ "node": ">= 10.x" } }, + "node_modules/sprintf-js": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.1.3.tgz", + "integrity": "sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA==", + "license": "BSD-3-Clause" + }, "node_modules/squoosh-next": { "version": "0.1.2", "resolved": "https://registry.npmjs.org/squoosh-next/-/squoosh-next-0.1.2.tgz", @@ -10650,6 +11610,32 @@ "node": ">=6" } }, + "node_modules/tar": { + "version": "7.4.3", + "resolved": "https://registry.npmjs.org/tar/-/tar-7.4.3.tgz", + "integrity": "sha512-5S7Va8hKfV7W5U6g3aYxXmlPoZVAwUMy9AOKyF2fVuZa2UD3qZjg578OrLRt8PcNN1PleVaL/5/yYATNL0ICUw==", + "license": "ISC", + "dependencies": { + "@isaacs/fs-minipass": "^4.0.0", + "chownr": "^3.0.0", + "minipass": "^7.1.2", + "minizlib": "^3.0.1", + "mkdirp": "^3.0.1", + "yallist": "^5.0.0" + }, + "engines": { + "node": ">=18" + } + }, + "node_modules/tar/node_modules/yallist": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-5.0.0.tgz", + "integrity": "sha512-YgvUTfwqyc7UXVMrB+SImsVYSmTS8X/tSrtdNZMImM+n7+QTriRXyXim0mBrTXNeqzVF0KWGgHPeiyViFFrNDw==", + "license": "BlueOak-1.0.0", + "engines": { + "node": ">=18" + } + }, "node_modules/terser": { "version": "5.39.0", "resolved": "https://registry.npmjs.org/terser/-/terser-5.39.0.tgz", @@ -10832,7 +11818,7 @@ "version": "2.8.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", - "dev": true, + "devOptional": true, "license": "0BSD" }, "node_modules/tsx": { @@ -10953,7 +11939,6 @@ "version": "6.20.0", "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.20.0.tgz", "integrity": "sha512-Ny6QZ2Nju20vw1SRHe3d9jVu6gJ+4e3+MMpqu7pqE5HT6WsTSlce++GQmK5UXS8mzV8DSYHrQH+Xrf2jVcuKNg==", - "dev": true, "license": "MIT" }, "node_modules/unenv": { diff --git a/package.json b/package.json index b56bc53..a2b7460 100644 --- a/package.json +++ b/package.json @@ -1,5 +1,7 @@ { "dependencies": { + "@google/generative-ai": "^0.24.1", + "@huggingface/transformers": "^3.6.3", "dom-accessibility-api": "^0.7.0", "marked": "^15.0.7", "notivue": "^2.4.5", diff --git a/src/background/service.ts b/src/background/service.ts index d714bd0..78747c5 100644 --- a/src/background/service.ts +++ b/src/background/service.ts @@ -7,7 +7,14 @@ import { Settings, SelectInputContext, } from "@/types/common" -import { getMessageForStatusCode } from "@/utils/auth" +import { + buildMultiSelectInputDataExtractionPrompt, + buildSingleSelectInputDataExtractionPrompt, + buildTextInputDataExtractionPrompt, + wrapContext, +} from "./services/prompts" +import { AccurateExtractResult } from "./services/types" +import Llmservice from "./services/llm" const API_URL = import.meta.env.VITE_API_URL const FILL_ACCURATE = `${API_URL}/fill/accurate` @@ -18,12 +25,7 @@ export async function getAccurateFillData( ) { const settings = await getValueFromStorage("settings", "sync") const activeProfileId = settings?.activeProfileId ?? "default" - - const tokens = await getValueFromStorage<{ server: string }>( - "tokens", - "local", - ) - + const llmApiKey = settings.llmApiKey const userContext = await getValueFromStorage( `${activeProfileId}-${DETAIL_TYPES.SHORT}`, "sync", @@ -49,8 +51,12 @@ export async function getAccurateFillData( userContextCreativeFill, ) - //console.info("User context", userTotalContext) - //console.info("Input context", textInputContext) + if (!llmApiKey) { + return { + success: false, + message: "Please add your Gemini API key from settings", + } + } if (!userTotalContext.length) { return { @@ -59,45 +65,90 @@ export async function getAccurateFillData( } } - try { - const response = await fetch(FILL_ACCURATE, { - method: "POST", - headers: { - "Content-Type": "application/json", - Authorization: `Bearer ${tokens?.server}`, - }, - body: JSON.stringify({ - context: userTotalContext, - text_input_context: textInputContext, - select_context: selectContext, - }), - }) - const statusCode = response.status - if (!response.ok) { - if (statusCode === 401) { - chrome.storage.local.remove("tokens") - } + const llmService = new Llmservice(llmApiKey) + const extractedData = await passContextAndGetAnswers( + llmService, + userTotalContext, + textInputContext, + selectContext, + ) - return { - success: false, - message: getMessageForStatusCode(statusCode), - error: "Network response was not ok", - } - } + return { + success: true, + data: extractedData, + } +} - const data = await response.json() +// LLMs cooking +async function passContextAndGetAnswers( + llmService: Llmservice, + userContext: { label: string; value: string }[], + textInputContext: TextInputContext[], + selectContext: SelectInputContext[], +) { + const contextPrompt = wrapContext(userContext) + let result: AccurateExtractResult[] = [] - return { - success: true, - data, - } - } catch (error) { - console.info("fetch error", error) - return { - success: false, - message: getMessageForStatusCode(503), - error, + if (textInputContext.length) { + const textPrompt = buildTextInputDataExtractionPrompt( + contextPrompt, + textInputContext, + ) + const schema: object = [ + { + dataId: "abc-uuid", + value: "answer or null", + }, + ] + const promptResult = + (await llmService.getResultWithSchema(textPrompt, schema)) ?? [] + result = result.concat(promptResult as AccurateExtractResult[]) + } + + const singleSelectContext = [] + const multiSelectContext = [] + const singleSelectTags = ["option", "radio"] + for (const ctx of selectContext) { + if (singleSelectTags.includes(ctx.tagName ?? "")) { + singleSelectContext.push(ctx) + } else { + multiSelectContext.push(ctx) } } + + if (singleSelectContext.length) { + const selectPrompt = buildSingleSelectInputDataExtractionPrompt( + contextPrompt, + singleSelectContext, + ) + const schema: object = [ + { + dataId: "abc-uuid", + value: "correct option", + }, + ] + const promptResult = + (await llmService.getResultWithSchema(selectPrompt, schema)) ?? [] + result = result.concat(promptResult as AccurateExtractResult[]) + } + + if (multiSelectContext.length) { + const selectPrompt = buildMultiSelectInputDataExtractionPrompt( + contextPrompt, + multiSelectContext, + ) + const schema: object = [ + { + dataId: "abc-uuid", + value: "correct option 1 | correct option 2", + }, + ] + + const promptResult = + (await llmService.getResultWithSchema(selectPrompt, schema)) ?? [] + result = result.concat(promptResult as AccurateExtractResult[]) + } + + return result.filter((v) => v) } diff --git a/src/background/services/llm.ts b/src/background/services/llm.ts new file mode 100644 index 0000000..e494216 --- /dev/null +++ b/src/background/services/llm.ts @@ -0,0 +1,73 @@ +import { GenerativeModel, GoogleGenerativeAI } from "@google/generative-ai" + +export default class Llmservice { + private genAI: GoogleGenerativeAI + private textModel: GenerativeModel + private jsonModel: GenerativeModel + + constructor(apiKey: string) { + this.genAI = new GoogleGenerativeAI(apiKey) + // For text-only input, use the gemini-pro model + this.textModel = this.genAI.getGenerativeModel({ + model: "gemini-2.5-flash", + }) + // For JSON output, we'll use the same model and guide it with the prompt + this.jsonModel = this.genAI.getGenerativeModel({ + model: "gemini-2.5-flash", + }) + } + + /** + * Generates a structured JSON object based on the message and schema. + * @param message The prompt message for the model. + * @param schema The desired JSON schema (provided as a string hint). + * @returns A promise that resolves to a JavaScript object. + */ + async getResultWithSchema( + message: string, + schema: object, + ): Promise { + const schemaHint = JSON.stringify(schema) + const fullPrompt = `${message}. Please provide the output in the following JSON format: ${schemaHint}. Do not include any additional text or explanations, only the JSON object.` + + try { + const result = await this.jsonModel.generateContent(fullPrompt) + const response = await result.response + let text = response.text() + // Attempt to extract pure JSON by stripping markdown code block + text = text.trim() + if (text.startsWith("```json") && text.endsWith("```")) { + text = text.substring("```json".length).trim() + text = text.substring(0, text.length - "```".length).trim() + } + return JSON.parse(text) + } catch (error) { + console.error( + "Failed to generate or parse JSON from model output:", + error, + ) + return null + } + } + + /** + * Generates a plain text result from a given message. + * @param message The prompt message for the model. + * @returns A promise that resolves to the generated text string. + */ + async getResult(message: string): Promise { + try { + const result = await this.textModel.generateContent(message) + const response = await result.response + + console.log({ + question: message, + response: response.text(), + }) + return response.text() + } catch (error) { + console.error("Failed to generate text from model:", error) + return "" + } + } +} diff --git a/src/background/services/prompts.ts b/src/background/services/prompts.ts new file mode 100644 index 0000000..c3a6567 --- /dev/null +++ b/src/background/services/prompts.ts @@ -0,0 +1,114 @@ +const OPTIONS_SEPARATOR = "|" + +function wrapFormDataPoint(obj: object, tag: string): string { + const start = `<${tag}>` + const end = `` + const dataString = Object.entries(obj) + .map(([key, val]) => { + if (Array.isArray(val)) { + return `${key}: ${val.join(OPTIONS_SEPARATOR)}` + } + + return `${key}: ${val}` + }) + .join("\n") + return [start, dataString, end].join("\n") +} + +function wrapFormDataPoints( + obj: object[], + tag: string = "FormDataPoint", +): string { + return obj.map((o) => wrapFormDataPoint(o, tag)).join("\n\n") +} + +export function safeParseLLMJson(outputJson: string) { + try { + const json = JSON.parse(outputJson) + return json + } catch (err) { + console.error(err) + return null + } +} + +export function wrapContext( + context: { + label: string + value: string + }[], +) { + const start = "" + const end = "" + const contextString = context.reduce((prev, { label, value }) => { + return prev + `${label}:${value}\n` + }, "") + return [start, contextString, end].join("\n") +} + +export function buildTextInputDataExtractionPrompt( + contextPrompt: string, + dataPoints: object[], +) { + const dataPointText = wrapFormDataPoints(dataPoints) + + return ` +You are an intelligent LLM that extracts data from context based on form input. +Strictly respond with answer or null. Do not provide explanations. + +${contextPrompt} + +Provided below is extracted form input data, you have to pick the correct value from context +based on title, placeholder and label of form. If they are empty, try to find value based on +closestLabel and closestText. Convert answer in any format if it's mentioned. +If type is textarea, answer with statements. If type in input, answer accurately and precisely. + + +${dataPointText} +` +} + +export function buildSingleSelectInputDataExtractionPrompt( + contextPrompt: string, + dataPoints: object[], +): string { + const dataPointText = wrapFormDataPoints(dataPoints, "SingleChoice") + + return ` + You are an intelligent LLM that extracts data from context based on form input. + Strictly respond with correct option or null. Do not provide explanations. + + ${contextPrompt} + + Provided below is list of single choice questions . + The question is present in title, placeholder, label, closestLabel or closestText. + The options are separated by ${OPTIONS_SEPARATOR} character. Based on provided context and question, + pick only one correct option, return null if the answer of question is not present + in context or option. + + ${dataPointText} + ` +} + +export function buildMultiSelectInputDataExtractionPrompt( + contextPrompt: string, + dataPoints: object[], +): string { + const dataPointText = wrapFormDataPoints(dataPoints, "MultipleChoice") + + return ` + You are an intelligent LLM that extracts data from context based on form input. + Strictly respond with correct option or null. Do not provide explanations. + + ${contextPrompt} + + Provided below is list of multiple choice questions . + The question is present in title, placeholder, label, closestLabel or closestText. + The options are separated by ${OPTIONS_SEPARATOR} character. + Based on provided context and question, return an array of options + that are applicable for the questions, return null if no options apply for the + context. + + ${dataPointText} + ` +} diff --git a/src/background/services/types.ts b/src/background/services/types.ts new file mode 100644 index 0000000..9fa05ba --- /dev/null +++ b/src/background/services/types.ts @@ -0,0 +1,4 @@ +export interface AccurateExtractResult { + dataId: string + value: string +} diff --git a/src/components/LogYouIn.vue b/src/components/LogYouIn.vue index 6866a88..a0cb319 100644 --- a/src/components/LogYouIn.vue +++ b/src/components/LogYouIn.vue @@ -1,9 +1,7 @@