🤖 AI Summary
Telegram’s latest update adds threaded conversations and streaming responses for bots, alongside other UX features (live comments in group calls, contact notes, profile customizations, gifts UI and iOS Liquid Glass). For AI/ML listeners, the key news is that bots can now manage multiple parallel threads—so a single bot can track separate topics or tasks without mixing context—and can stream generated replies token-by-token instead of making users wait for full outputs. Telegram also highlights built-in monetization: bot developers can offer subscription plans to fund model hosting and ongoing development.
Technically this means bot implementations will need to maintain per-thread conversation state (thread IDs, histories) and support incremental output handling (partial tokens, UI updates, cancelation). Streaming improves perceived latency and enables more interactive workflows (follow-ups, clarification prompts mid-generation), while threads make retrieval and grounding of older topic-specific context far simpler. Developers must opt in to enable these features for their bots, so expect an SDK/API update from Telegram to expose streaming endpoints, thread management and subscription hooks—bringing production-ready LLM interactions closer to mainstream messaging use.
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