feat: use integrated LLM chain and Supabase nodes with modern API key structure

This commit is contained in:
Gabriel Ramos 2026-06-08 20:08:10 -04:00
parent 248b16a66a
commit c52417a113
3 changed files with 107 additions and 81 deletions

View file

@ -11,3 +11,7 @@ ARCHITECTURAL RULE: Next.js is the presentation layer, authentication provider,
## Database Rule
DATABASE RULE: All database schemas must be written for Supabase PostgreSQL and include pgvector.
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.
## Orchestration Rule
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.

View file

@ -1,3 +1,4 @@
NEXT_PUBLIC_SUPABASE_URL=your_supabase_project_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
SUPABASE_PUBLISHABLE_KEY=sb_publishable_your_publishable_key
SUPABASE_SECRET_KEY=sb_secret_your_secret_key
NEXT_PUBLIC_N8N_WEBHOOK_URL=your_n8n_webhook_url

View file

@ -29,7 +29,7 @@ const EMAIL_PASSWORD = process.env.EMAIL_PASSWORD;
const EMAIL_HOST = process.env.EMAIL_HOST;
const EMAIL_PORT = parseInt(process.env.EMAIL_PORT || "465", 10);
const SUPABASE_URL = process.env.NEXT_PUBLIC_SUPABASE_URL;
const SUPABASE_ANON_KEY = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;
const SUPABASE_SECRET_KEY = process.env.SUPABASE_SECRET_KEY;
if (!N8N_API_KEY) {
console.error("Error: N8N_API_KEY is not defined in .env file.");
@ -55,40 +55,57 @@ async function n8nRequest(endpoint: string, method: string = "GET", body?: any)
return response.json();
}
async function main() {
console.log("Kickstarting n8n configuration...");
// 1. Manage IMAP Credentials
console.log("Setting up IMAP credentials...");
let credentialId = "";
async function getOrCreateCredential(name: string, type: string, data: any) {
try {
const credsList = await n8nRequest("/api/v1/credentials");
const existingCred = credsList.data.find((c: any) => c.name === "Semillero2_IMAP" && c.type === "imap");
const existingCred = credsList.data.find((c: any) => c.name === name && c.type === type);
if (existingCred) {
credentialId = existingCred.id;
console.log(`Reusing existing IMAP credentials (ID: ${credentialId})`);
console.log(`Reusing existing credential: ${name} (ID: ${existingCred.id})`);
return existingCred.id;
} else {
const newCred = await n8nRequest("/api/v1/credentials", "POST", {
name: "Semillero2_IMAP",
type: "imap",
data: {
name,
type,
data,
});
console.log(`Created new credential: ${name} (ID: ${newCred.id})`);
return newCred.id;
}
} catch (err: any) {
console.error(`Error setting up credential ${name}:`, err.message);
process.exit(1);
}
}
async function main() {
console.log("Kickstarting n8n configuration with native integrations...");
// 1. Manage IMAP Credentials
const imapCredId = await getOrCreateCredential("Semillero2_IMAP", "imap", {
host: EMAIL_HOST,
port: EMAIL_PORT,
user: EMAIL_USER,
password: EMAIL_PASSWORD,
secure: true,
},
});
credentialId = newCred.id;
console.log(`Created new IMAP credentials (ID: ${credentialId})`);
}
} catch (err: any) {
console.error("Error setting up IMAP credentials:", err.message);
process.exit(1);
}
// 2. Define Workflow 3: Core AI Parsing Sub-workflow
console.log("Deploying Workflow 3: Core AI Parsing Sub-workflow...");
// 2. Manage OpenAI/Deepseek Credentials with explicit required validation flags
const openAiCredId = await getOrCreateCredential("Semillero2_OpenAI", "openAiApi", {
apiKey: DEEPSEEK_API_KEY,
url: "https://api.deepseek.com/v1",
header: false,
allowedHttpRequestDomains: "none",
});
// 3. Manage Supabase Credentials using modern keys structure (sb_secret_...)
const supabaseCredId = await getOrCreateCredential("Semillero2_Supabase", "supabaseApi", {
host: SUPABASE_URL,
serviceRole: SUPABASE_SECRET_KEY,
allowedHttpRequestDomains: "none",
});
// 4. Define Workflow 3: Core AI Parsing Sub-workflow
console.log("Deploying Workflow 3: Core AI Parsing Sub-workflow (Native AI & Supabase)...");
const workflow3Definition = {
name: "Semillero2: Core AI Parsing Sub-workflow",
settings: {},
@ -103,79 +120,72 @@ async function main() {
},
{
parameters: {
method: "POST",
url: "https://api.deepseek.com/chat/completions",
sendHeaders: true,
headerParameters: {
parameters: [
{
name: "Authorization",
value: `Bearer ${DEEPSEEK_API_KEY}`,
promptType: "defineBelow",
text: "={{ $json.text }}",
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.",
},
],
},
sendBody: true,
specifyBody: "json",
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}",
},
id: "w3-deepseek-id",
name: "Deepseek LLM Parsing",
type: "n8n-nodes-base.httpRequest",
typeVersion: 4.2,
id: "w3-chain-id",
name: "Basic LLM Chain",
type: "@n8n/n8n-nodes-langchain.chainLlm",
typeVersion: 1.4,
position: [480, 300],
},
{
parameters: {
jsCode: `const content = $input.first().json.choices[0].message.content;
const evaluation = JSON.parse(content);
model: "deepseek-chat",
options: {
baseURL: "https://api.deepseek.com/v1",
},
},
id: "w3-model-id",
name: "OpenAI Chat Model",
type: "@n8n/n8n-nodes-langchain.lmChatOpenAi",
typeVersion: 1,
position: [480, 480],
credentials: {
openAiApi: {
id: openAiCredId,
name: "Semillero2_OpenAI",
},
},
},
{
parameters: {
jsCode: `const content = $input.first().json.response.text;
const cleanedText = content.replace(/\`\`\`json\\n?|\\n?\`\`\`/g, "").trim();
const evaluation = JSON.parse(cleanedText);
return [{
json: {
name: $('Execute Workflow Trigger').item.json.name || "Unknown Candidate",
email: $('Execute Workflow Trigger').item.json.email || "unknown@example.com",
summary: evaluation.summary,
classification: evaluation.classification,
suggestions: evaluation.suggestions,
riskLevel: evaluation.riskLevel,
evaluation: evaluation
seniority: evaluation.classification
}
}];`,
},
id: "w3-parse-id",
name: "Parse Deepseek Response",
name: "Parse LLM Response",
type: "n8n-nodes-base.code",
typeVersion: 2,
position: [700, 300],
},
{
parameters: {
method: "POST",
url: `${SUPABASE_URL}/rest/v1/candidates`,
sendHeaders: true,
headerParameters: {
parameters: [
{
name: "apikey",
value: SUPABASE_ANON_KEY,
},
{
name: "Authorization",
value: `Bearer ${SUPABASE_ANON_KEY}`,
},
{
name: "Prefer",
value: "return=representation",
},
],
},
sendBody: true,
specifyBody: "json",
jsonBody: "={\n \"name\": \"{{ $json.name }}\",\n \"email\": \"{{ $json.email }}\",\n \"summary\": \"{{ $json.summary }}\",\n \"seniority\": \"{{ $json.classification }}\"\n}",
operation: "insert",
table: "candidates",
options: {},
},
id: "w3-supabase-id",
name: "Insert Candidate to Supabase",
type: "n8n-nodes-base.httpRequest",
typeVersion: 4.2,
type: "n8n-nodes-base.supabase",
typeVersion: 1,
position: [920, 300],
credentials: {
supabaseApi: {
id: supabaseCredId,
name: "Semillero2_Supabase",
},
},
},
],
connections: {
@ -183,25 +193,36 @@ return [{
main: [
[
{
node: "Deepseek LLM Parsing",
node: "Basic LLM Chain",
type: "main",
index: 0,
},
],
],
},
"Deepseek LLM Parsing": {
"OpenAI Chat Model": {
ai_languageModel: [
[
{
node: "Basic LLM Chain",
type: "ai_languageModel",
index: 0,
},
],
],
},
"Basic LLM Chain": {
main: [
[
{
node: "Parse Deepseek Response",
node: "Parse LLM Response",
type: "main",
index: 0,
},
],
],
},
"Parse Deepseek Response": {
"Parse LLM Response": {
main: [
[
{
@ -219,7 +240,7 @@ return [{
const w3Id = w3Result.id;
console.log(`Workflow 3 deployed successfully (ID: ${w3Id})`);
// 3. Define Workflow 1: The API Gateway (Web UI Ingestion)
// 5. Define Workflow 1: The API Gateway (Web UI Ingestion)
console.log("Deploying Workflow 1: The API Gateway...");
const workflow1Definition = {
name: "Semillero2: API Gateway (Web UI Ingestion)",
@ -324,7 +345,7 @@ return [{
console.log(`Workflow 1 deployed successfully (ID: ${w1Id})`);
console.log(`Webhook URL: ${webhookPath}`);
// 4. Define Workflow 2: Email Ingestion Listener
// 6. Define Workflow 2: Email Ingestion Listener
console.log("Deploying Workflow 2: Email Ingestion Listener...");
const workflow2Definition = {
name: "Semillero2: Email Ingestion Listener",
@ -346,7 +367,7 @@ return [{
position: [100, 300],
credentials: {
imap: {
id: credentialId,
id: imapCredId,
name: "Semillero2_IMAP",
},
},