AI agent generates a large amount of garbage text after the prompt, which it sends to OpenAI

Hi! I’m building an AI agent that takes user questions and sends them to OpenAI through the AI Agent node. I’ve configured the prompt manually using “Prompt Type: Define Below” with a clean instruction + chat input.

However, when the AI Agent passes the message to the OpenAI node, I see:

  • 355 words are from my actual prompt + user input
  • BUT an additional ~2000 words of unrelated data (starting with "Tool": [{ "searchParameters": ... }]) are appended at the end.

This looks like some kind of auto-generated SERP or memory data. I’m not using external memory or vector store. I don’t want this data in the prompt and don’t understand where it’s coming from or why it’s included.

Questions:

  1. What is generating this extra “Tool” block?
  2. How do I prevent it from being included in the message sent to OpenAI?
  3. Why does it consume tokens if I didn’t explicitly ask for it?

Thanks in advance!

Hee is all garbage text that it generating:


AI:
Tool: [{"searchParameters":{"q":"{{ $json.chatInput }}","type":"search","engine":"google"},"organic":[{"title":"Building Conversational Agent to retrieve certain data - Questions","link":"https://community.n8n.io/t/building-conversational-agent-to-retrieve-certain-data/61807","snippet":"I'm trying to build a custom service chatbot flow, and I want to retrieve the customer's name and birthday through out the conversation.","date":"Nov 14, 2024","position":1},{"title":"Getting AI agent to send data to a workflow tool - n8n Community","link":"https://community.n8n.io/t/getting-ai-agent-to-send-data-to-a-workflow-tool/42078","snippet":"... chat input: {{ $('Chat Trigger').item.json.chatInput }}. Is there a similar way to reference the AI output rather than the chat input? Jon ...","date":"Mar 6, 2024","sitelinks":[{"title":"How to get plain text from chat insted of json?","link":"https://community.n8n.io/t/how-to-get-plain-text-from-chat-insted-of-json/43972"},{"title":"Chat node response with JSON - Questions","link":"https://community.n8n.io/t/chat-node-response-with-json/60646"}],"position":2},{"title":"AI Agent not getting data from json : r/n8n - Reddit","link":"https://www.reddit.com/r/n8n/comments/1jpf7x7/ai_agent_not_getting_data_from_json/","snippet":"I'm new to n8n, I'm building a flow to let AI Agent generate SQL commands from 3 inputs: chat, table schema, and metrics define. All are running locally.","date":"Apr 2, 2025","sitelinks":[{"title":"How to get plain text response from chat instead of Json in n8n?","link":"https://www.reddit.com/r/n8n/comments/1ju4lud/how_to_get_plain_text_response_from_chat_instead/"},{"title":"Teach Your AI to Use n8n Code Node / JS Expressions - Reddit","link":"https://www.reddit.com/r/n8n/comments/1huce7n/teach_your_ai_to_use_n8n_code_node_js_expressions/"}],"position":3},{"title":"RAG & LLM — n8n AI Playground (vol. 3 Chatting with the Data)","link":"https://medium.com/actived/rag-llm-n8n-ai-playground-vol-3-chatting-with-the-data-22402b67b280","snippet":"{{ $json.chatInput }} This is the user's actual question, pulled from a previous chat interface node. Current Workflow ...","date":"Apr 22, 2025","position":4},{"title":"How to take in JSON string as user input using ChatPromptTemplate ...","link":"https://github.com/langchain-ai/langchain/discussions/26845","snippet":"To take in a JSON string as user input using ChatPromptTemplate and MessagesPlaceholder in LangChain, and resolve the errors encountered with ...","date":"Sep 25, 2024","position":5},{"title":"Automate Emails with AI: Building an Email Agent in n8n","link":"https://dev.to/trading_now/automate-emails-with-ai-building-an-email-agent-in-n8n-2ajk","snippet":"Add an AI Agent node from the Advanced AI collection. Prompt Type: Define Below; Text: {{ $json.chatInput }}; Connect this to: Language Model ...","date":"Mar 23, 2025","position":6},{"title":"How do I use the new JSON mode? - API","link":"https://community.openai.com/t/how-do-i-use-the-new-json-mode/475890","snippet":"To use the new JSON mode in the OpenAI API with Python, you would modify your API call to specify the response_format parameter with the value { type: \"json_ ...","date":"Nov 6, 2023","position":7},{"title":"The text in the chatbox changes after switching panels · Issue #12238","link":"https://github.com/n8n-io/n8n/issues/12238","snippet":"... {{ $json.chatInput }}\\nsessionId: {{ $json.sessionId }} and have memory connected. After navigating to Executions tab, we unmount the chat ...","date":"Dec 15, 2024","position":8},{"title":"How to Build an AI-Assisted Workflow in n8n with Human Escalation ...","link":"https://medium.com/@wassenger/how-to-build-an-ai-assisted-workflow-in-n8n-with-human-escalation-using-wassenger-and-slack-ready-13135daae74e","snippet":"- When scalating the message take the info from {{ $('Wassenger ... json.chatInput }}\", \"rightValue\": \"=/([a-zA-Z0-9._-]+@[a-zA-Z0-9._ ...","date":"Jun 27, 2025","position":9},{"title":"N8N Foundational Concepts (AI Agents, JSON, Logic) - YouTube","link":"https://www.youtube.com/watch?v=6b442bN0CyI","snippet":"Join Maker School, start your AI automation agency, & get customer #1 https://www.skool.com/makerschool/about Watch me build my $300K/mo ...","date":"Jan 27, 2025","position":10}],"relatedSearches":[{"query":"Microsoft"},{"query":"N8n chat response"},{"query":"N8n conversational agent"},{"query":"N8n AI Agent"},{"query":"N8n chat UI"},{"query":"N8n chat history"},{"query":"N8n Question and Answer Chain"},{"query":"N8n ai agent output to json"},{"query":"N8n chat node"}],"credits":1}]
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Could you share more details of your flow? Maybe I can help troubleshoot.


Here is my project

In agent i add promt that get user request from chat and send it to OpenAI node

But at OpenAI node i see that here is some part was added by AI
Green part is there where my promt is finished, and after some random text begin

I think it’s because the model, have you ever been to try another models?

Hello,
I noticed that the highlighted section comes from your HTTP Request node — it’s the result of the search operation performed by that node.
The AI executes the flow at least twice: first, it processes the prompt, then it runs the tool (in this case, the HTTP node), and finally, it comes back to handle the response returned from the tool.

The Agents task is to search the Internet for information and formulate an entry in a table from it. How can I use the Agent if it doesn’t have access to the Internet?

it won’t be able to perform live web searches on its own.

But you can connect tools like Airtop, Tavily, or SerpAPI to handle the search

its already there

serper.dev

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