# Best Practice for Managing Dynamic Context in Multi-Channel Bots via API? **URL:** \ **Category:** Developers Corner\ **Created:** [April 8, 2025, 12:09pm UTC](https://forum.ideta.io/t/best-practice-for-managing-dynamic-context-in-multi-channel-bots-via-api/1272 "2025-04-08T12:09:27Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![sienna](https://avatars.discourse-cdn.com/v4/letter/s/90ced4/32.png) [@sienna](https://forum.ideta.io/u/sienna)\ **Post date:** [April 8, 2025, 12:09pm UTC](https://forum.ideta.io/t/best-practice-for-managing-dynamic-context-in-multi-channel-bots-via-api/1272/1 "2025-04-08T12:09:27Z")
Hello I am building a chatbot with Ideta that runs across multiple channels (e.g., website, Facebook Messenger, and WhatsApp) & I have run into a challenge managing user context dynamically across platforms. 😇 Each channel has slightly different user interaction patterns, so a one-size-fits-all context structure doesn’t always work. I’m using webhooks and the Ideta API to sync external data, but context sometimes gets lost / behaves inconsistently when switching channels or restoring previous sessions. 🙃 What’s the best practice for keeping context coherent across these channels while preserving personalized responses and session continuity? Should I maintain a centralized external state store (e.g., Firebase or Redis) & sync context through API calls, or is there a more native Ideta-centric method that I might be overlooking? 🤔 Checked [Ideta Developer Docs – API & Webhooks](https://www.ideta.io/public-api)[Talend Certification](https://www.igmguru.com/big-data/talend-training) guide related to this and found it quite informative. Would love to hear how other developers are managing multi-channel bot memory, especially when dealing with variable intents, fallbacks, and language models. 🤔Any guidance or shared patterns would really help me scale this bot cleanly without bloating the backend logic. Thank you !! 🙂