Monitor Telegram media groups, cache albums with Data Tables, process them with NanoBanana AI, and notify users when results are ready.
This AI agent collects image albums sent in Telegram as media groups and preserves captions. It caches every album in a Data Table to enable reliable batch processing without data loss. It sends the complete album and prompt to NanoBanana AI via OpenRouter, then notifies users with the results.
Performs end-to-end album handling from receipt to result delivery.
Capture media groups and captions from Telegram.
Cache albums and messages in a Data Table for batch processing.
Schedule periodic checks to identify completed albums for processing.
Send the full image set and prompt to NanoBanana AI via OpenRouter.
Process results and populate outputs back to the user.
Notify users when processing starts and when results are ready.
Before this AI agent, teams struggle with dispersed media, data loss, and manual processing cycles. After adoption, albums are cached, processed in batches, and results are delivered with reliable notifications.
A simple 3-step flow from receipt to delivery.
Monitor Telegram for media group events, collecting all images and the shared caption.
Store chat_id, message_id, media_group, message, and status in a Data Table to ensure no data is lost.
Periodically scan for completed albums, run a multi-modal prompt with NanoBanana AI via OpenRouter, and notify the user with results.
One realistic scenario to illustrate task, timing, and outcome.
Scenario: A user sends a Telegram image album with 6 images and a caption to the bot. The agent caches all items in the Data Table, and a scheduled trigger runs after the album is complete. The NanoBanana AI processes the full set via OpenRouter and returns a generated result, which is then delivered to the user with a notification.
Roles that gain measurable value from this AI agent.
Need reliable ingestion and caching of media groups from Telegram to avoid data loss.
Want automatic processing and delivery of rich media albums to teams and channels.
Require consistent handling of image albums with captions for archives and campaigns.
Prefer automated generation of AI-assisted results from user-shared media.
Need batch-processed assets with clear delivery notifications.
Can reuse the AI agent’s caching and processing steps in broader automation.
The tools this AI agent uses and what it does inside each.
Receives media groups, extracts captions, and starts the caching workflow.
Caches incoming messages and album data to enable reliable batch processing.
Routes image sets and prompts to NanoBanana AI for processing.
Generates outputs from the full image set and caption, returning results for delivery.
Practical scenarios where this AI agent adds value.
Common questions about using this AI agent.
This AI agent automates the end-to-end processing of Telegram image albums. It captures media groups, caches them, batches processing with a NanoBanana AI model, and delivers results along with user notifications. It is designed to be repeatable, auditable, and capable of handling bursts of albums without data loss.
The agent supports media groups (image albums) and the captions shared by users. It logs each message in a Data Table and processes completed albums on a schedule. Other message types would require additional nodes or logic to handle them.
You need an n8n instance with Data Tables enabled, a Telegram bot token, and an OpenRouter account with access to the NanoBanana model. The environment should be configured for scheduled triggers and data caching. Ensure credentials for Telegram and OpenRouter are secured and accessible to the AI agent.
The AI agent stores message data in Data Tables and processes it within your secured environment. Access is controlled by your n8n credentials and bot tokens. Data is handled in batch, reducing exposure and enabling traceability for audits.
Yes. The schedule trigger can be adjusted to change how often the AI agent checks for new media groups. You can balance latency and resource use by tuning the interval. If necessary, you can implement additional checks or extensions to trigger processing after album completion.
If processing fails, the AI agent logs the error, keeps the album in the cache, and retries on the next schedule. It notifies the user of failure and provides any available status details to aid troubleshooting. You can configure retry limits and alerting policies.
Results are delivered to the Telegram user or chat that submitted the album, with a clear notification that processing is complete. If configured, results can be saved to downstream services or sent to another channel. Notifications include timestamps and status to support traceability.
Monitor Telegram media groups, cache albums with Data Tables, process them with NanoBanana AI, and notify users when results are ready.
