# Telegram Telegram is best suited for integrations with Large Language Models (LLMs). We feel there is a great opportunity to utilize the simplicity of command execution on Simulacrum to enable LLM's that can easily capture and execute user intents. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.simulacrum.network/synthetic-blockchain/organization/indexer/sources/telegram.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.