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feat: use v1.9 chain node and fix fallback model

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Gabriel Ramos 2026-06-09 10:56:39 -04:00
parent bde47a32d7
commit 1023c5c02e
1 changed files with 6 additions and 4 deletions
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10
scripts/deploy-n8n-v2.ts
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@ -257,16 +257,18 @@ async function main() {
const primaryChainNode = {
parameters: {
promptType: "define", // Correct underlying value for manually defining prompt!
promptType: "define", // Correct underlying value for manually defining prompt!
hasOutputParser: true, // Enforce "Require Specific Output Format"
hasFallbackModel: configureFallback, // Enable fallback model natively on the Chain node!
needsFallback: configureFallback, // True underlying parameter to enable Fallback Model in v1.8+
enableFallbackModel: configureFallback, // True underlying key to enable fallback model (backward compatibility)
hasFallbackModel: configureFallback, // Secondary key for fallback model (safeguard)
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-primary",
name: "LLM Chain Evaluation (Primary)",
type: "@n8n/n8n-nodes-langchain.chainLlm",
typeVersion: 1.4,
typeVersion: 1.9,
position: [400, 300],
};
@ -402,7 +404,7 @@ async function main() {
[
{
node: "LLM Chain Evaluation (Primary)",
type: "outputParser",
type: "ai_outputParser", // Correct destination port type!
index: 0,
},
],