feat: use integrated LLM chain and Supabase nodes with modern API key structure
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3 changed files with 107 additions and 81 deletions
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@ -11,3 +11,7 @@ ARCHITECTURAL RULE: Next.js is the presentation layer, authentication provider,
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## Database Rule
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DATABASE RULE: All database schemas must be written for Supabase PostgreSQL and include pgvector.
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DATABASE API KEYS RULE: Use Supabase's modern 'Publishable and secrets API keys' structure (using prefix sb_publishable_ for public client-side access and sb_secret_ for backend service access) instead of legacy anon/service_role keys.
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## Orchestration Rule
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ORCHESTRATION INTEGRATIONS RULE: Always use n8n's native/integrated nodes for LLM Logic (Basic LLM Chain connected to OpenAI Chat Model) and database operations (Supabase node) rather than raw HTTP requests.
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@ -1,3 +1,4 @@
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NEXT_PUBLIC_SUPABASE_URL=your_supabase_project_url
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NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
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SUPABASE_PUBLISHABLE_KEY=sb_publishable_your_publishable_key
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SUPABASE_SECRET_KEY=sb_secret_your_secret_key
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NEXT_PUBLIC_N8N_WEBHOOK_URL=your_n8n_webhook_url
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@ -29,7 +29,7 @@ const EMAIL_PASSWORD = process.env.EMAIL_PASSWORD;
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const EMAIL_HOST = process.env.EMAIL_HOST;
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const EMAIL_PORT = parseInt(process.env.EMAIL_PORT || "465", 10);
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const SUPABASE_URL = process.env.NEXT_PUBLIC_SUPABASE_URL;
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const SUPABASE_ANON_KEY = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;
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const SUPABASE_SECRET_KEY = process.env.SUPABASE_SECRET_KEY;
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if (!N8N_API_KEY) {
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console.error("Error: N8N_API_KEY is not defined in .env file.");
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@ -55,40 +55,57 @@ async function n8nRequest(endpoint: string, method: string = "GET", body?: any)
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return response.json();
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}
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async function main() {
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console.log("Kickstarting n8n configuration...");
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// 1. Manage IMAP Credentials
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console.log("Setting up IMAP credentials...");
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let credentialId = "";
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async function getOrCreateCredential(name: string, type: string, data: any) {
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try {
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const credsList = await n8nRequest("/api/v1/credentials");
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const existingCred = credsList.data.find((c: any) => c.name === "Semillero2_IMAP" && c.type === "imap");
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const existingCred = credsList.data.find((c: any) => c.name === name && c.type === type);
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if (existingCred) {
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credentialId = existingCred.id;
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console.log(`Reusing existing IMAP credentials (ID: ${credentialId})`);
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console.log(`Reusing existing credential: ${name} (ID: ${existingCred.id})`);
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return existingCred.id;
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} else {
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const newCred = await n8nRequest("/api/v1/credentials", "POST", {
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name: "Semillero2_IMAP",
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type: "imap",
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data: {
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host: EMAIL_HOST,
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port: EMAIL_PORT,
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user: EMAIL_USER,
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password: EMAIL_PASSWORD,
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secure: true,
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},
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name,
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type,
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data,
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});
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credentialId = newCred.id;
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console.log(`Created new IMAP credentials (ID: ${credentialId})`);
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console.log(`Created new credential: ${name} (ID: ${newCred.id})`);
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return newCred.id;
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}
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} catch (err: any) {
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console.error("Error setting up IMAP credentials:", err.message);
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console.error(`Error setting up credential ${name}:`, err.message);
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process.exit(1);
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}
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}
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// 2. Define Workflow 3: Core AI Parsing Sub-workflow
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console.log("Deploying Workflow 3: Core AI Parsing Sub-workflow...");
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async function main() {
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console.log("Kickstarting n8n configuration with native integrations...");
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// 1. Manage IMAP Credentials
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const imapCredId = await getOrCreateCredential("Semillero2_IMAP", "imap", {
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host: EMAIL_HOST,
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port: EMAIL_PORT,
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user: EMAIL_USER,
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password: EMAIL_PASSWORD,
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secure: true,
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});
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// 2. Manage OpenAI/Deepseek Credentials with explicit required validation flags
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const openAiCredId = await getOrCreateCredential("Semillero2_OpenAI", "openAiApi", {
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apiKey: DEEPSEEK_API_KEY,
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url: "https://api.deepseek.com/v1",
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header: false,
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allowedHttpRequestDomains: "none",
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});
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// 3. Manage Supabase Credentials using modern keys structure (sb_secret_...)
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const supabaseCredId = await getOrCreateCredential("Semillero2_Supabase", "supabaseApi", {
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host: SUPABASE_URL,
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serviceRole: SUPABASE_SECRET_KEY,
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allowedHttpRequestDomains: "none",
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});
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// 4. Define Workflow 3: Core AI Parsing Sub-workflow
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console.log("Deploying Workflow 3: Core AI Parsing Sub-workflow (Native AI & Supabase)...");
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const workflow3Definition = {
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name: "Semillero2: Core AI Parsing Sub-workflow",
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settings: {},
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@ -103,79 +120,72 @@ async function main() {
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},
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{
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parameters: {
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method: "POST",
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url: "https://api.deepseek.com/chat/completions",
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sendHeaders: true,
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headerParameters: {
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parameters: [
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{
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name: "Authorization",
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value: `Bearer ${DEEPSEEK_API_KEY}`,
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},
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],
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},
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sendBody: true,
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specifyBody: "json",
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jsonBody: "={\n \"model\": \"deepseek-chat\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are an AI recruitment assistant. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these four keys:\\n- summary: a brief profile summary.\\n- classification: 'Qualified', 'Unqualified', or 'Review'.\\n- suggestions: an array of recommendations for next steps.\\n- riskLevel: 'Low', 'Medium', or 'High'.\\n\\nDo not include markdown code blocks or any text outside the JSON.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"{{ $json.text }}\"\n }\n ],\n \"response_format\": { \"type\": \"json_object\" }\n}",
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promptType: "defineBelow",
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text: "={{ $json.text }}",
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systemMessage: "You are an AI recruitment assistant. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these four keys:\n- summary: a brief profile summary.\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps.\n- riskLevel: 'Low', 'Medium', or 'High'.\n\nDo not include markdown code blocks or any text outside the JSON.",
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},
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id: "w3-deepseek-id",
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name: "Deepseek LLM Parsing",
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type: "n8n-nodes-base.httpRequest",
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typeVersion: 4.2,
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id: "w3-chain-id",
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name: "Basic LLM Chain",
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type: "@n8n/n8n-nodes-langchain.chainLlm",
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typeVersion: 1.4,
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position: [480, 300],
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},
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{
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parameters: {
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jsCode: `const content = $input.first().json.choices[0].message.content;
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const evaluation = JSON.parse(content);
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model: "deepseek-chat",
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options: {
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baseURL: "https://api.deepseek.com/v1",
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},
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},
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id: "w3-model-id",
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name: "OpenAI Chat Model",
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type: "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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typeVersion: 1,
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position: [480, 480],
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credentials: {
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openAiApi: {
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id: openAiCredId,
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name: "Semillero2_OpenAI",
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},
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},
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},
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{
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parameters: {
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jsCode: `const content = $input.first().json.response.text;
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const cleanedText = content.replace(/\`\`\`json\\n?|\\n?\`\`\`/g, "").trim();
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const evaluation = JSON.parse(cleanedText);
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return [{
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json: {
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name: $('Execute Workflow Trigger').item.json.name || "Unknown Candidate",
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email: $('Execute Workflow Trigger').item.json.email || "unknown@example.com",
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summary: evaluation.summary,
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classification: evaluation.classification,
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suggestions: evaluation.suggestions,
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riskLevel: evaluation.riskLevel,
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evaluation: evaluation
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seniority: evaluation.classification
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}
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}];`,
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},
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id: "w3-parse-id",
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name: "Parse Deepseek Response",
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name: "Parse LLM Response",
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type: "n8n-nodes-base.code",
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typeVersion: 2,
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position: [700, 300],
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},
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{
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parameters: {
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method: "POST",
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url: `${SUPABASE_URL}/rest/v1/candidates`,
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sendHeaders: true,
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headerParameters: {
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parameters: [
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{
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name: "apikey",
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value: SUPABASE_ANON_KEY,
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},
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{
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name: "Authorization",
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value: `Bearer ${SUPABASE_ANON_KEY}`,
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},
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{
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name: "Prefer",
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value: "return=representation",
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},
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],
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},
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sendBody: true,
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specifyBody: "json",
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jsonBody: "={\n \"name\": \"{{ $json.name }}\",\n \"email\": \"{{ $json.email }}\",\n \"summary\": \"{{ $json.summary }}\",\n \"seniority\": \"{{ $json.classification }}\"\n}",
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operation: "insert",
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table: "candidates",
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options: {},
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},
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id: "w3-supabase-id",
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name: "Insert Candidate to Supabase",
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type: "n8n-nodes-base.httpRequest",
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typeVersion: 4.2,
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type: "n8n-nodes-base.supabase",
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typeVersion: 1,
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position: [920, 300],
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credentials: {
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supabaseApi: {
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id: supabaseCredId,
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name: "Semillero2_Supabase",
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},
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},
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},
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],
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connections: {
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@ -183,25 +193,36 @@ return [{
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main: [
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[
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{
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node: "Deepseek LLM Parsing",
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node: "Basic LLM Chain",
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type: "main",
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index: 0,
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},
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],
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],
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},
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"Deepseek LLM Parsing": {
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"OpenAI Chat Model": {
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ai_languageModel: [
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[
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{
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node: "Basic LLM Chain",
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type: "ai_languageModel",
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index: 0,
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},
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],
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],
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},
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"Basic LLM Chain": {
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main: [
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[
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{
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node: "Parse Deepseek Response",
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node: "Parse LLM Response",
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type: "main",
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index: 0,
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},
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],
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],
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},
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"Parse Deepseek Response": {
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"Parse LLM Response": {
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main: [
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[
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{
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@ -219,7 +240,7 @@ return [{
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const w3Id = w3Result.id;
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console.log(`Workflow 3 deployed successfully (ID: ${w3Id})`);
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// 3. Define Workflow 1: The API Gateway (Web UI Ingestion)
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// 5. Define Workflow 1: The API Gateway (Web UI Ingestion)
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console.log("Deploying Workflow 1: The API Gateway...");
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const workflow1Definition = {
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name: "Semillero2: API Gateway (Web UI Ingestion)",
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@ -324,7 +345,7 @@ return [{
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console.log(`Workflow 1 deployed successfully (ID: ${w1Id})`);
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console.log(`Webhook URL: ${webhookPath}`);
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// 4. Define Workflow 2: Email Ingestion Listener
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// 6. Define Workflow 2: Email Ingestion Listener
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console.log("Deploying Workflow 2: Email Ingestion Listener...");
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const workflow2Definition = {
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name: "Semillero2: Email Ingestion Listener",
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@ -346,7 +367,7 @@ return [{
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position: [100, 300],
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credentials: {
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imap: {
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id: credentialId,
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id: imapCredId,
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name: "Semillero2_IMAP",
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},
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},
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