
During March 2026, Previewg enhanced the bytedance/deer-flow repository by improving Telegram integration, focusing on conversation context and thread mapping. They implemented context-preserving private chats, ensuring that all messages in a 1-on-1 Telegram conversation consistently map to a single DeerFlow thread by setting topic_id to None. In group chats, they refined command handling so that messages are accurately routed to the correct conversation threads. Working primarily in Python, Previewg applied skills in API integration, backend development, and chatbot development. The work addressed context loss in private conversations, resulting in more reliable and coherent message handling across Telegram channels.
March 2026: Focused on stabilizing and enhancing Telegram integration in DeerFlow. Implemented context-preserving private chats and accurate thread mapping, and refined group-chat command handling to ensure messages are routed to the correct DeerFlow threads. Delivered a targeted fix addressing context loss in private conversations and improved thread consistency across Telegram channels.
March 2026: Focused on stabilizing and enhancing Telegram integration in DeerFlow. Implemented context-preserving private chats and accurate thread mapping, and refined group-chat command handling to ensure messages are routed to the correct DeerFlow threads. Delivered a targeted fix addressing context loss in private conversations and improved thread consistency across Telegram channels.

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