

Integrate Gemini and Telegram
Connect Gemini and Telegram nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Gemini and Telegram Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Count Tokens in Prompt
When using long prompts, it might be useful to count tokens before sending any content to the model.
Gemini Text Generator
Make an API call to the Generative Language Model endpoint
Generate Embedding
Generate Embeddings from text input and represent text (words, sentences, and blocks of text) in a vectorized formusing Gemini AI
Multimodal
Use Google's Gemini AI to generate text from text-only or text-and-image input. [Full documentation](https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/quickstart-multimodal).
Stream Response
Generates a stream of response text using Google's Generative AI with a given prompt

Telegram Bot
Create Telegram Chatbot and workflows using this trigger. Connect using Telegram API key and build workflows for handling incoming messages. [Full documentation](https://docs.buildship.com/trigger-nodes/telegram-bot)

Send Audio with Telegram
Send an audio file to a Telegram chat using the sendAudio API endpoint. Supports .MP3 and .M4A formats. Maximum file size is 50 MB.

Send Telegram Message
Sends a message to a Telegram chat via the Telegram Bot API
Quick start
How to integrate Gemini and Telegram
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Gemini and Telegram actions you want to use.
Step 2 — Configure each node
Go to each node to authenticate (or add your API key) and fill in the required parameters.
Step 3 — Connect the nodes
Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.
Step 4 — Test your workflow
Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
support
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