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Implemented LangChain and Gemini AI to generate AI enhanced Cv #126

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Implemented LangChain and Gemini AI to generate AI enhanced Cv #126

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0e0cd93
Implemented LangChain and Gemini AI to generate AI enhanced Cv
Jul 7, 2025
65857f8
Update Langchain integreation wityh different models
Jul 17, 2025
13e75c0
Implementation and integration of LLMwrapper into enhanceAI
Jul 31, 2025
a0dbac8
Merge branch 'main' into feat/LangChainIntegration
Priscilla-MacGatus Jul 31, 2025
91093d1
Add validations, LLMwrapper integration, for provider TogetherAI
Aug 1, 2025
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28 changes: 20 additions & 8 deletions netlify/functions/enhanceWithAi.mts
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import { GoogleGenerativeAI } from '@google/generative-ai';
import { ChatGoogleGenerativeAI } from '@langchain/google-genai';

const enhanceWithAi = async ({
apiKey,
professionalSummary,
Expand All @@ -12,9 +13,10 @@ 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 genAI = new ChatGoogleGenerativeAI({
apiKey,
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.

**Your Task:** Enhance the provided CV data by optimizing it for:
Expand Down Expand Up @@ -99,11 +101,21 @@ const enhanceWithAi = async ({

Only return valid JSON without any additional formatting or commentary.`;

const result = await model.generateContent({
contents: [{ role: 'user', parts: [{ text: systemPrompt }] }],
});
const result = await genAI.invoke([
{ role: 'user', content: systemPrompt },
]);

const responseText =
typeof result?.content === 'string'
? result.content
: typeof result?.text === 'string'
? result.text
: Array.isArray(result?.content)
? result.content
.map((cont: any) => (typeof cont === 'string' ? cont : cont.text || ''))
.join('\n')
: '';

const responseText = result.response.text();
const cleanedResponse = responseText
.replace(/```json\n?/g, '')
.replace(/```\n?/g, '')
Expand Down
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