gabogg/semillero-2-AI-ATS
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feat(n8n): fix fallback ports and promptType

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Gabriel Ramos 2026-06-09 10:47:23 -04:00
parent fbb23a1470
commit bde47a32d7
1 changed files with 24 additions and 141 deletions
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165
scripts/deploy-n8n-v2.ts
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@ -257,8 +257,9 @@ async function main() {
const primaryChainNode = { const primaryChainNode = {
parameters: { parameters: {
promptType: "defineBelow", // Fixed casing: camelCase! promptType: "define", // Correct underlying value for manually defining prompt!
hasOutputParser: true, // Enforce "Require Specific Output Format" hasOutputParser: true, // Enforce "Require Specific Output Format"
hasFallbackModel: configureFallback, // Enable fallback model natively on the Chain node!
text: "={{ $('Webhook Trigger').item.json.body.text }}", text: "={{ $('Webhook Trigger').item.json.body.text }}",
systemMessage: "You are an AI recruitment assistant evaluating a candidate's CV for a job vacancy. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these five keys:\n- summary: a brief candidate summary (max 3 sentences).\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps (e.g. ['Schedule interview', 'Reject', 'Verify references']).\n- riskLevel: 'Low', 'Medium', or 'High'.\n- ai_score: a number between 0 and 100 representing general suitability.\n\nDo not include markdown code blocks or any text outside the JSON.", systemMessage: "You are an AI recruitment assistant evaluating a candidate's CV for a job vacancy. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these five keys:\n- summary: a brief candidate summary (max 3 sentences).\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps (e.g. ['Schedule interview', 'Reject', 'Verify references']).\n- riskLevel: 'Low', 'Medium', or 'High'.\n- ai_score: a number between 0 and 100 representing general suitability.\n\nDo not include markdown code blocks or any text outside the JSON.",
}, },
@ -267,7 +268,6 @@ async function main() {
type: "@n8n/n8n-nodes-langchain.chainLlm", type: "@n8n/n8n-nodes-langchain.chainLlm",
typeVersion: 1.4, typeVersion: 1.4,
position: [400, 300], position: [400, 300],
continueOnFail: configureFallback, // continue on fail only if fallback exists
}; };
const primaryModelNode = { const primaryModelNode = {
@ -276,7 +276,7 @@ async function main() {
name: "Primary Chat Model", name: "Primary Chat Model",
type: primaryConfig.nodeType, type: primaryConfig.nodeType,
typeVersion: 1, typeVersion: 1,
position: [350, 480], position: [300, 480],
credentials: { credentials: {
[primaryConfig.credentialType]: { [primaryConfig.credentialType]: {
id: primaryCredId, id: primaryCredId,
@ -293,7 +293,7 @@ async function main() {
name: "Structured Output Parser", name: "Structured Output Parser",
type: "@n8n/n8n-nodes-langchain.outputParserStructured", type: "@n8n/n8n-nodes-langchain.outputParserStructured",
typeVersion: 1, typeVersion: 1,
position: [480, 480], position: [430, 480],
}; };
// Replace Code node with a native Edit Fields (Set) node to avoid code blocks // Replace Code node with a native Edit Fields (Set) node to avoid code blocks
@ -331,7 +331,7 @@ async function main() {
name: "Format Evaluation Data", name: "Format Evaluation Data",
type: "n8n-nodes-base.set", type: "n8n-nodes-base.set",
typeVersion: 3, typeVersion: 3,
position: [850, 300], position: [700, 300],
}; };
const supabaseInsertNode = { const supabaseInsertNode = {
@ -344,7 +344,7 @@ async function main() {
name: "Insert Score to Supabase", name: "Insert Score to Supabase",
type: "n8n-nodes-base.supabase", type: "n8n-nodes-base.supabase",
typeVersion: 1, typeVersion: 1,
position: [1050, 300], position: [900, 300],
credentials: { credentials: {
supabaseApi: { supabaseApi: {
id: supabaseCredId, id: supabaseCredId,
@ -361,7 +361,7 @@ async function main() {
name: "Respond to Webhook", name: "Respond to Webhook",
type: "n8n-nodes-base.respondToWebhook", type: "n8n-nodes-base.respondToWebhook",
typeVersion: 1.1, typeVersion: 1.1,
position: [1250, 300], position: [1100, 300],
}; };
const wNodes: any[] = [ const wNodes: any[] = [
@ -408,6 +408,17 @@ async function main() {
], ],
], ],
}, },
"LLM Chain Evaluation (Primary)": {
main: [
[
{
node: "Format Evaluation Data",
type: "main",
index: 0,
},
],
],
},
"Format Evaluation Data": { "Format Evaluation Data": {
main: [ main: [
[ [
@ -433,50 +444,7 @@ async function main() {
}; };
if (configureFallback && fallbackConfig) { if (configureFallback && fallbackConfig) {
console.log("Configuring Fallback LLM Route..."); console.log("Adding Fallback Chat Model...");
const checkErrorNode = {
parameters: {
conditions: {
options: {
caseSensitive: true,
leftValue: "",
typeValidation: "strict",
},
conditions: [
{
id: "err-cond",
leftValue: "={{ $json.hasOwnProperty('error') }}",
rightValue: "true",
operator: {
type: "boolean",
operation: "equals",
},
},
],
combinator: "and",
},
},
id: "check-error",
name: "Check Primary Error",
type: "n8n-nodes-base.if",
typeVersion: 2.2,
position: [600, 300],
};
const fallbackChainNode = {
parameters: {
promptType: "defineBelow", // Fixed casing: camelCase!
hasOutputParser: true, // Enforce "Require Specific Output Format"
text: "={{ $('Webhook Trigger').item.json.body.text }}",
systemMessage: "You are an AI recruitment assistant evaluating a candidate's CV for a job vacancy. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these five keys:\n- summary: a brief candidate summary (max 3 sentences).\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps (e.g. ['Schedule interview', 'Reject', 'Verify references']).\n- riskLevel: 'Low', 'Medium', or 'High'.\n- ai_score: a number between 0 and 100 representing general suitability.\n\nDo not include markdown code blocks or any text outside the JSON.",
},
id: "llm-chain-fallback",
name: "LLM Chain Evaluation (Fallback)",
type: "@n8n/n8n-nodes-langchain.chainLlm",
typeVersion: 1.4,
position: [800, 450],
};
const fallbackModelNode = { const fallbackModelNode = {
parameters: fallbackConfig.nodeParameters, parameters: fallbackConfig.nodeParameters,
@ -484,7 +452,7 @@ async function main() {
name: "Fallback Chat Model", name: "Fallback Chat Model",
type: fallbackConfig.nodeType, type: fallbackConfig.nodeType,
typeVersion: 1, typeVersion: 1,
position: [750, 630], position: [560, 480],
credentials: { credentials: {
[fallbackConfig.credentialType]: { [fallbackConfig.credentialType]: {
id: fallbackCredId, id: fallbackCredId,
@ -493,104 +461,20 @@ async function main() {
}, },
}; };
const jsonParserFallbackNode = { wNodes.push(fallbackModelNode);
parameters: {
jsonSchema: "{\n \"type\": \"object\",\n \"properties\": {\n \"summary\": {\n \"type\": \"string\"\n },\n \"classification\": {\n \"type\": \"string\",\n \"enum\": [\"Qualified\", \"Unqualified\", \"Review\"]\n },\n \"suggestions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"riskLevel\": {\n \"type\": \"string\",\n \"enum\": [\"Low\", \"Medium\", \"High\"]\n },\n \"ai_score\": {\n \"type\": \"number\"\n }\n },\n \"required\": [\"summary\", \"classification\", \"suggestions\", \"riskLevel\", \"ai_score\"]\n}",
},
id: "json-parser-fallback",
name: "Structured Output Parser (Fallback)",
type: "@n8n/n8n-nodes-langchain.outputParserStructured",
typeVersion: 1,
position: [880, 630],
};
// Reposition Set node for fallback routing // Connect fallback model directly: source port is ai_languageModel, target port is ai_fallbackModel!
setNode.position = [1050, 450];
supabaseInsertNode.position = [1250, 450];
respondWebhookNode.position = [1450, 450];
wNodes.push(checkErrorNode, fallbackChainNode, fallbackModelNode, jsonParserFallbackNode);
// Primary chain routes to IF check
wConnections["LLM Chain Evaluation (Primary)"] = {
main: [
[
{
node: "Check Primary Error",
type: "main",
index: 0,
},
],
],
};
// IF Node routes
wConnections["Check Primary Error"] = {
main: [
[
{
node: "LLM Chain Evaluation (Fallback)",
type: "main",
index: 0,
},
], // true branch (Output 0 -> Error happened)
[
{
node: "Format Evaluation Data",
type: "main",
index: 0,
},
], // false branch (Output 1 -> Success)
],
};
// Connect fallback LLM components
wConnections["Fallback Chat Model"] = { wConnections["Fallback Chat Model"] = {
ai_languageModel: [ ai_languageModel: [
[ [
{ {
node: "LLM Chain Evaluation (Fallback)", node: "LLM Chain Evaluation (Primary)",
type: "ai_languageModel", type: "ai_fallbackModel",
index: 0, index: 0,
}, },
], ],
], ],
}; };
wConnections["Structured Output Parser (Fallback)"] = {
outputParser: [
[
{
node: "LLM Chain Evaluation (Fallback)",
type: "outputParser",
index: 0,
},
],
],
};
wConnections["LLM Chain Evaluation (Fallback)"] = {
main: [
[
{
node: "Format Evaluation Data",
type: "main",
index: 0,
},
],
],
};
} else {
// If no fallback, wire directly Primary Chain -> Set node
wConnections["LLM Chain Evaluation (Primary)"].main = [
[
{
node: "Format Evaluation Data",
type: "main",
index: 0,
},
],
];
} }
// Define complete workflow object // Define complete workflow object
@ -602,7 +486,6 @@ async function main() {
}; };
console.log("\nDeploying workflow to n8n..."); console.log("\nDeploying workflow to n8n...");
// Check if it already exists
const workflowsList = await n8nRequest("/api/v1/workflows"); const workflowsList = await n8nRequest("/api/v1/workflows");
const existingWf = workflowsList.data.find( const existingWf = workflowsList.data.find(
(w: any) => w.name === "Semillero2: End-to-End Candidate Evaluation" (w: any) => w.name === "Semillero2: End-to-End Candidate Evaluation"