Transform LLM Outputs into Rich Telegram Messages with Auto-Media Handling - n8n Workflow | Neura Market

    Transform LLM Outputs into Rich Telegram Messages with Auto-Media Handling

    This workflow converts long, mixed-media outputs from a language model into Telegram-friendly messages, ensuring seamless media integration and text chunking.

    Designed for developers of Telegram chatbots and AI assistants, this workflow processes outputs containing text and media links from language models. It extracts media links, categorizes them, and sends them as appropriate media messages (photos, audio, video) in Telegram. Text exceeding Telegram's character limit is automatically split into manageable chunks and sent sequentially, ensuring no information is lost.
    Platform
    n8n
    Category
    Communication
    Price
    Free
    Creator
    Isaac Cohen
    • if
    • code
    • limit
    • switch
    • splitOut
    • telegram
    • stickyNote
    • splitInBatches
    • executeWorkflowTrigger
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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    All Communication workflows →All n8n workflows →

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