Parsing HTTP node data to input to LLM

[Ashish_Bhatia]

Hello, I have a workflow where I am making an API call to an authentication system to collect system logs. The response comes back with application/json and I want to be able to take this as an input to an LLM for further analysis. For example I converted the application/json input to a json body like this

What can i do to further extract this data to feed information the LLM to analyze it? Any suggestions are welcome.

[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:

[Ashish_Bhatia]

Below are the details.

@n8n

• n8n version: : 1.78.1
• **Database (default: SQLite):
• n8n EXECUTIONS_PROCESS setting (default: own, main):
• Running n8n via (Docker, npm, n8n cloud, desktop app): n8n cloud
• Operating system: MacOS

[mcnaveen]

Hey @Ashish_Bhatia You can put up a Edit Node to collect the required files and pass it to the agent node.

Are you stuck somewhere?

[Ashish_Bhatia]

@mcnaveen

u can put up a Edit Nod

Thanks I resolved this by using edit node,

[mcnaveen]

Hey @Ashish_Bhatia Please mark it as solution