⏳ 1 Day to Go! Flink Forward Asia 2026 — Main Forum Agenda Revealed! FFA2026 brings together world-class tech leaders to showcase the full picture of real-time data intelligence — from Alibaba Cloud's Agent-native to AI-native evolution, and from automotive to embodied AI industry scenarios. 📅 June 26–27 | InterContinental Shenzhen OCT, Shenzhen ⚡ Limited seats available — don't miss out! 📝 Note: All sessions will be conducted in Mandarin Chinese. #FlinkForwardAsia# #FFA2026# #ApacheFlink# #RealTimeData# #DataAI# #AIAgent# #AgenticAI# #StreamingData# #OpenSource# #AlibabaCloud# #EmbodiedAI# #DataEngineering#

A useful but little-known Claude API feature 🌊 Waiting for the entire tool call argument to finish before doing anything? You can start earlier. Claude's Fine-Grained Tool Streaming delivers tool call arguments as they're generated, token by token. It enables real-time UI updates and early processing of large arguments. 📌 Title: Fine-Grained Tool Streaming 🔗 URL: 🧩 Overview Standard tool calls wait for the full argument JSON before execution. But when arguments are large (long code blocks, documents, etc.), waiting for completion wastes time. Fine-Grained Tool Streaming sends partial argument data as streaming events (input_json_delta) while the model is still generating. You can render progress in the UI or start preprocessing in parallel. 🛠 How to use it Call the Messages API in streaming mode. Tool call arguments arrive as input_json_delta events incrementally. Display them in your UI as they arrive, or begin preprocessing once key parts are confirmed. The actual tool execution still happens after the full JSON is complete, but users see progress in real time. 🏗 Building it into production ・Coding UIs: show code being generated in real time in the editor. Users watch the code being written instead of staring at a spinner. ・Document generation: when producing long text as a tool argument, render a live preview as content streams in. ・Data transformation pipelines: start validation or schema checks on partial argument data as soon as key fields are confirmed. ・Progress UIs: visualize streaming progress of tool arguments so users can see what the agent is about to do. 💡 Use cases ⌨️ Real-time code generation preview 📝 Incremental document rendering ✅ Early argument validation 📊 Tool call progress visualization ⚠️ Watch out Streaming data is incomplete JSON, so don't try to parse it as valid JSON mid-stream. Use partial data for preview and preprocessing only; execute the actual tool only after the full JSON arrives. The event handling code is somewhat complex, so leverage your SDK's built-in helpers. ✨ Showing nothing during wait times is a big UX miss. Stream tool arguments to build interfaces that feel responsive and alive. #Claude# #LLM#

RedStone is entering 2026 with a fairly clear direction: From being "just a price feed oracle" → toward becoming a broader data and liquidity layer for RWA, payments, DeFi lending, and institutional products. The most notable part is not the number of integrations, but the type of integrations. ⤷ @redstone_defi is moving into sectors that require highly reliable real-time data infrastructure: - @megaeth needs ultra-low latency oracle infrastructure. - @StellarOrg needs a data layer for lending, DEXs, derivatives, and RWAs. - @tempo needs FX + stablecoin feeds for blockchain payments. - REAL needs oracle infrastructure for tokenized assets. - STBL needs transparent Proof of Reserves from day one. On the product side, RedStone is also expanding its stack in a more practical direction: - RedStone Live for real-time streaming data. - RedStone Settle enabling T+0 liquidation for RWA collateral. - Proof of Reserves Framework improving transparency for institutional assets. - RedStone Stack upgrading infrastructure for execution, risk, and RWAs. This suggests that RedStone is no longer only serving today’s DeFi market, But is preparing for something much larger: On-chain capital markets As RWAs, stablecoin payments, and institutional DeFi continue to grow, the market will need more than just a price oracle. It will need a data layer capable of supporting pricing, risk management, verification, settlement, and transparency. And that is the position RedStone is trying to capture.