Problems with Basic LLM Chain olivama model and JSON Parser

[Marcos_rodriguez_mor]

Hello everyone,

I’m new with n8n, I hope you can help me.

After receiving a message from a lead, what I want to do with Basic LLM chain, rocama and JSON Parser:

1. Qualify the lead.
2. Create a short text that indicates the lead’s intention.

This is the workflow.

I don’t know if this can be done in the same step and I don’t know if it is necessary to use JSON Parser.

What I’m looking for is to obtain a JSON with the attributes qualified (point 1) and summary (point 2) and be able to continue with the workflow.

If more information is needed I will add what is necessary, I need to unblock this problem as soon as possible.

I am looking forward to your response.

Greetings and thank you.

[n8n]

It looks like your topic is missing some important information. Could you provide the following if applicable.

• n8n version:
• Database (default: SQLite):
• n8n EXECUTIONS_PROCESS setting (default: own, main):
• Running n8n via (Docker, npm, n8n cloud, desktop app):
• Operating system:

[Jon]

Hey @Marcos_rodriguez_mor,

Welcome to the community

Can you share an example output from the code node so we can take a look? Have you also looked at our AI workflow templates to see if anyone has done anything similar before with the JSON parser?