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Financial analysis report chatbot agent with Gemini 2.5 Flash and Discord

aditya vadaganadamaditya vadaganadam
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2/3/2026
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This n8n template turns chat questions into structured financial reports using Gemini and posts them to a Discord channel via webhook. Ask about tickers, sectors, or theses (e.g., “NVDA long‑term outlook?” or “Gold ETF short‑term drivers?”) and receive a concise, shareable report.

Good to know

  • Not financial advice: Use for insights only; verify independently.
  • Model availability can vary by region. If you see “model not found,” it may be geo‑restricted.
  • Costs depend on model and tokens. Check current Gemini pricing for updates.
  • Discord messages are limited to ~2000 characters per post; long reports may need splitting.
  • Rate limits: Discord webhooks are rate‑limited; add short waits for bursts.

How it works

  1. Chat Trigger collects the user’s question (public chat supported when the workflow is activated).
  2. Conversation Memory keeps a short window of recent messages to maintain context.
  3. Connect Gemini provides the LLM (e.g., gemini‑2.5‑flash‑lite) and parameters (temperature, tokens).
  4. Agent (agent1) applies a financial analysis System Message to produce structured insights.
  5. Structured Output Parser enforces a simple JSON schema: idea (one‑line thesis) + analysis (Markdown sections).
  6. Code formats a Discord‑ready Markdown report (title, question, executive summary, sections, disclaimer).
  7. Edit Fields maps the formatted report to a clean content field.
  8. Discord Webhook posts the final report to your channel.

How to use

  • Start with the built‑in Chat Trigger: click Open chat, ask a question, and verify the Discord post.
  • Replace or augment with a Cron or Webhook trigger for scheduled or programmatic runs.
  • For richer context, add HTTP Request nodes (prices, news, filings) and pass summaries to the agent.

Requirements

  • n8n instance with internet access
  • Google AI (Gemini) API key
  • Discord server with a webhook URL

Customising this workflow

  • System Message: Adjust tone, depth, risk profile, and required sections (Summary, Drivers, Risks, Metrics, Next Steps, Takeaway).
  • Model settings: Switch models or tune temperature/tokens in Connect Gemini.
  • Schema: Extend the parser and formatter with fields like drivers[], risks[], or metrics{}.
  • Formatting: Edit the Code node to change headings, emojis, disclaimers, or add timestamps.
  • Operations: Add retries, message splitting for long outputs, and rate‑limit handling for Discord.

n8n Financial Analysis Report Chatbot Agent with Gemini 1.5 Flash and Discord

This n8n workflow creates an AI-powered chatbot agent that responds to chat messages, leveraging Google Gemini 1.5 Flash for conversational AI and Discord for communication. It's designed to process incoming chat messages, maintain conversation history, and generate structured responses.

What it does

This workflow automates the following steps:

  1. Listens for Chat Messages: Triggers when a new chat message is received from a configured chat service (e.g., Discord).
  2. Initializes Memory: Sets up a simple buffer window memory to maintain the context of the conversation.
  3. Processes with AI Agent: Uses an AI Agent (Langchain) to interpret the incoming message, considering the conversation history.
  4. Generates Response with Google Gemini: Employs the Google Gemini 1.5 Flash chat model to formulate a relevant and intelligent response.
  5. Parses Structured Output: Processes the AI's output into a structured format, if specified by the AI agent's configuration.
  6. Prepares Discord Message: Formats the AI's response for posting to Discord.
  7. Posts to Discord: Sends the AI-generated response back to the Discord channel where the message originated.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Discord Account & Bot: A Discord account and a Discord bot configured with the necessary permissions to send and receive messages in your desired channel(s). You will need the bot token for n8n credentials.
  • Google Cloud Project & Gemini API Key: Access to Google Cloud with the Gemini API enabled and an API key for the Google Gemini Chat Model.
  • n8n Langchain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed in your n8n instance.

Setup/Usage

  1. Import the Workflow:

    • Download the provided JSON file.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the three dots menu (⋮) in the top right and select "Import from JSON".
    • Paste the workflow JSON or upload the file.

  2. Configure Credentials:

    • Discord Node (ID: 60):
      • Click on the "Discord" node.
      • Create or select an existing Discord API credential. You'll need your Discord Bot Token.
    • Google Gemini Chat Model Node (ID: 1262):
      • Click on the "Google Gemini Chat Model" node.
      • Create or select an existing Google Gemini API credential. You'll need your Google Gemini API Key.

  3. Configure Chat Trigger (ID: 1247):

    • Click on the "When chat message received" node.
    • Select the Discord credential you configured in the previous step.
    • Specify the Discord channel(s) or user(s) the bot should listen to.

  4. Customize AI Agent (ID: 1119):

    • Click on the "AI Agent" node.
    • Review and adjust the agent's instructions, tools, and other parameters as needed for your specific financial analysis tasks.

  5. Activate the Workflow:

    • Once all credentials and configurations are set, click the "Activate" toggle in the top right corner of the workflow editor to enable it.

Your chatbot agent is now ready to respond to messages in the configured Discord channel!

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