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Managed Deep Agents 0.9 adds a reactions API for Slack channels

LangChain says developers can use heuristics, decision models or custom logic to build loading states and receipts.

Harrison ChaseHC
LangChainLA
nathan dreznerND
3 Sources, 39m ago, first seen 39m ago

TLDR

LangChain announced the Slack-channel reactions API for Managed Deep Agents 0.9. An accompanying article argues that loading states and task acknowledgments help users understand what long-running agents are doing. It describes assigning emojis based on message context, including an example that falls back to 👀 when a decision model is less than 25% confident in its top pick.

Combined views

3.6K

3 Sources, first seen 39m ago

14 likes5 comments6 saves6 reposts

Combined views

3.6K

3 Sources, first seen 39m ago

14 likes5 comments6 saves6 reposts

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3 Sources

nathan drezner@ndreznWe've been thinking a lot about great agent UX with Managed Deep Agents - here's some of what we've been building in this area and a bit about our product philosophy https://x.com/i/article/210856107080982118439m
LangChain@LangChainNew in Managed Deep Agents 0.9: Reactions API for @SlackHQ Channels. When it comes to building effective user agent experiences, loading states are underrated. Now, you can build loading states and receipts using either heuristics, decision models, or custom logic.38m
Harrison Chase@hwchase17RT @ndrezn: We've been thinking a lot about great agent UX with Managed Deep Agents - here's some of what we've been building in this area…36m
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    3 Sources

    nathan drezner@ndreznWe've been thinking a lot about great agent UX with Managed Deep Agents - here's some of what we've been building in this area and a bit about our product philosophy https://x.com/i/article/210856107080982118439m
    LangChain@LangChainNew in Managed Deep Agents 0.9: Reactions API for @SlackHQ Channels. When it comes to building effective user agent experiences, loading states are underrated. Now, you can build loading states and receipts using either heuristics, decision models, or custom logic.38m
    Harrison Chase@hwchase17RT @ndrezn: We've been thinking a lot about great agent UX with Managed Deep Agents - here's some of what we've been building in this area…36m
    Today's Rank

    #16

    Today's Rank

    #16