diff --git a/netlify/functions/enhanceWithAi.mts b/netlify/functions/enhanceWithAi.mts index 0e1701d..342a33b 100644 --- a/netlify/functions/enhanceWithAi.mts +++ b/netlify/functions/enhanceWithAi.mts @@ -1,6 +1,9 @@ -import { GoogleGenerativeAI } from '@google/generative-ai'; +import { ChatPromptTemplate } from '@langchain/core/prompts'; +import getLLMWrapper from '../utils/getLLMWrapper.js'; + const enhanceWithAi = async ({ apiKey, + provider, professionalSummary, education, experience, @@ -12,10 +15,20 @@ const enhanceWithAi = async ({ if (!apiKey) { throw new Error('API key is required'); } - const genAI = new GoogleGenerativeAI(apiKey); - const model = genAI.getGenerativeModel({ model: 'gemini-1.5-flash' }); - const systemPrompt = `You are an expert AI resume writer specializing in creating ATS-optimized, recruiter-friendly CVs for tech professionals with career transitions and non-traditional backgrounds. + const inputValues = { + professionalSummary, + education, + experience, + projects, + skills: skills.join(', '), + profileVsJobCriteria, + }; + + const promptTemplate = ChatPromptTemplate.fromMessages([ + [ + 'system', + `You are an expert AI resume writer specializing in creating ATS-optimized, recruiter-friendly CVs for tech professionals with career transitions and non-traditional backgrounds. **Your Task:** Enhance the provided CV data by optimizing it for: - ATS (Applicant Tracking System) compatibility @@ -24,14 +37,6 @@ const enhanceWithAi = async ({ - Professional narrative coherence - Keyword optimization for the specified skills -**Input Data:** -- Professional Summary: ${professionalSummary} -- Education: ${JSON.stringify(education)} -- Experience: ${experience} -- Projects: ${JSON.stringify(projects)} -- Skills: ${skills.join(', ')} -- Job Criteria: ${profileVsJobCriteria} - **Enhancement Guidelines:** 1. **Professional Summary**: Craft a compelling, recruiter-hooking 3-4 sentence summary that bridges past experience with tech aspirations, aligning with job criteria. 2. **Skills**: Extract and return the 4-5 most relevant technical skills and 3-5 key soft skills by analyzing both the ProfileVsJobCriteria field and the transferable experience. Present each skill as a bullet point. @@ -50,9 +55,9 @@ const enhanceWithAi = async ({ - Present both technical and soft skills as bullet points. **Required Output Format (JSON only):** -{ +{{ "professionalSummary": "Enhanced 3-4 sentence professional summary connecting background to tech career goals and job requirements", - "skills": { + "skills": {{ "technical": [ "tech skill1", "tech skill2" @@ -61,9 +66,9 @@ const enhanceWithAi = async ({ "soft skill1", "soft skill2" ] - }, + }}, "transferableExperience": [ - { + {{ "company": "Company Name", "position": "Job Title/Role", "startDate": "Month Year", @@ -72,19 +77,19 @@ const enhanceWithAi = async ({ "Bullet point 1 highlighting transferable skills and relevant achievements", "Bullet point 2 with quantified results where possible" ] - } + }} ], "education": [ - { + {{ "institution": "Name of school/bootcamp", "program": "Degree/certificate name", "startDate": "Month Year", "endDate": "Month Year", "highlights": "Key projects or relevant coursework" - } + }} ], "projects": [ - { + {{ "name": "Project name", "description": "Brief explanation of project and economic, social impact and problems solved", "technologiesUsed": [ @@ -93,18 +98,27 @@ const enhanceWithAi = async ({ ], "deployedLink": "URL if deployed", "githubLink": "Repository URL" - } + }} ] -} + }} +Only return valid JSON without any additional formatting or commentary.`, + ], + [ + 'user', + `Professional Summary: {professionalSummary}, Education: {education}, Experience: {experience}, Projects: {projects}, Skills: {skills}, Job Criteria: {profileVsJobCriteria}`, + ], + ]); -Only return valid JSON without any additional formatting or commentary.`; + const model = getLLMWrapper({ provider, apiKey, temperature: 0.3 }); + const promptValue = await promptTemplate.invoke(inputValues); + const response = await model.invoke(promptValue); - const result = await model.generateContent({ - contents: [{ role: 'user', parts: [{ text: systemPrompt }] }], - }); + if (!response.content) { + throw new Error('No response content from model'); + } - const responseText = result.response.text(); - const cleanedResponse = responseText + console.log(response.content); + const cleanedResponse = response.content .replace(/```json\n?/g, '') .replace(/```\n?/g, '') .trim(); @@ -112,8 +126,8 @@ Only return valid JSON without any additional formatting or commentary.`; try { return JSON.parse(cleanedResponse); } catch (parseError) { - console.error('Invalid JSON response from Gemini:', cleanedResponse); - throw new Error('AI returned invalid JSON format'); + console.error(`Invalid JSON response from ${provider}:`, cleanedResponse); + throw new Error(`${provider} returned invalid JSON format`); } } catch (error) { console.error('CV Enhancement Error:', error); diff --git a/netlify/functions/generateCv.mts b/netlify/functions/generateCv.mts index 3169953..f33b08b 100644 --- a/netlify/functions/generateCv.mts +++ b/netlify/functions/generateCv.mts @@ -7,10 +7,15 @@ const cvSchema = yup.object().shape({ apiKey: yup .string() .required('API key is required') - .test('is-valid-api-key', 'Invalid API key format', (value) => { - if (!value) return false; - return validateApiKey(value); + .test('is-valid-api-key', 'Invalid API key format', function (value) { + const provider = this?.parent?.provider; + if (!value || !provider) return false; + return validateApiKey(value, provider); }), + provider: yup + .string() + .oneOf(['Gemini', 'OpenAI', 'Claude', 'TogetherAI'], 'Invalid provider') + .required('Provider is required'), personalInfo: yup.object().shape({ fullName: yup.string().required('Full name is required'), email: yup.string().email().required('Email is required'), @@ -108,6 +113,7 @@ const generateCv = async (event) => { const { apiKey, + provider, personalInfo, professionalSummary, transferableExperience, @@ -133,6 +139,7 @@ const generateCv = async (event) => { .filter(Boolean), profileVsJobCriteria: jobcriteria, apiKey, + provider, }; const enhancedCV = await enhanceWithAi(aiInput); diff --git a/netlify/utils/getLLMWrapper.js b/netlify/utils/getLLMWrapper.js new file mode 100644 index 0000000..7d6d21d --- /dev/null +++ b/netlify/utils/getLLMWrapper.js @@ -0,0 +1,46 @@ +import { ChatOpenAI } from '@langchain/openai'; +import { ChatAnthropic } from '@langchain/anthropic'; +import { ChatGoogleGenerativeAI } from '@langchain/google-genai'; +import { ChatTogetherAI } from '@langchain/community/chat_models/togetherai'; + +export default function getLLMWrapper({ provider, apiKey, temperature = 0.3 }) { + switch (provider) { + case 'OpenAI': { + const model = 'gpt-4'; + return new ChatOpenAI({ + openAIApiKey: apiKey, + modelName: model, + temperature, + }); + } + + case 'Claude': { + const model = 'claude-3-sonnet-20240229'; + return new ChatAnthropic({ + anthropicApiKey: apiKey, + modelName: model, + temperature, + }); + } + + case 'Gemini': { + const model = 'gemini-1.5-flash'; + return new ChatGoogleGenerativeAI({ + apiKey, + model, + temperature: 0, + }); + } + case 'TogetherAI': { + const model = 'mistralai/Mixtral-8x7B-Instruct-v0.1'; + return new ChatTogetherAI({ + togetherAIApiKey: apiKey, + modelName: model, + temperature, + }); + } + + default: + throw new Error(`Unsupported provider: ${provider}`); + } +} diff --git a/netlify/utils/validations.js b/netlify/utils/validations.js index da64541..cb575a6 100644 --- a/netlify/utils/validations.js +++ b/netlify/utils/validations.js @@ -1,5 +1,21 @@ -const validateApiKey = (key) => { +const validateApiKey = (key, provider) => { const trimmedKey = key.trim(); - return /^AIza[0-9A-Za-z-_]{35}$/.test(trimmedKey); + if (!trimmedKey || !provider) return false; + switch (provider) { + case 'Gemini': + return /^AIza[0-9A-Za-z-_]{35}$/.test(trimmedKey); + + case 'OpenAI': + return /^sk-([a-zA-Z0-9-_]){20,}$/.test(trimmedKey); + + case 'Claude': + return /^sk-ant-[a-zA-Z0-9]{40,}$/.test(trimmedKey); + + case 'TogetherAI': + return /^[a-zA-Z0-9]{64,}$/.test(trimmedKey); + + default: + return false; + } }; export default validateApiKey; diff --git a/package-lock.json b/package-lock.json index fe8b606..f128636 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9,9 +9,15 @@ "version": "0.0.0", "dependencies": { "@google/generative-ai": "^0.24.1", + "@langchain/anthropic": "^0.3.24", + "@langchain/community": "^0.3.49", + "@langchain/core": "^0.3.66", + "@langchain/google-genai": "^0.2.16", + "@langchain/openai": "^0.6.1", "@netlify/functions": "^4.1.5", "date-fns": "^4.1.0", "dotenv": "^16.5.0", + "langchain": "^0.3.30", "react": "^19.0.0", "react-dom": "^19.0.0", "react-icons": "^5.5.0", @@ -49,6 +55,15 @@ "node": ">=6.0.0" } }, + "node_modules/@anthropic-ai/sdk": { + "version": "0.56.0", + "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.56.0.tgz", + "integrity": "sha512-SLCB8M8+VMg1cpCucnA1XWHGWqVSZtIWzmOdDOEu3eTFZMB+A0sGZ1ESO5MHDnqrNTXz3safMrWx9x4rMZSOqA==", + "license": "MIT", + "bin": 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