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  "text": "One month ago, we released a 41-page ebook on context engineering.\n\nTurns out, we had way more to say.\n\nOur new blog post dives deeper into the discipline of treating the context window as a scarce resource and designing everything around it (retrieval, memory, tools, prompts) so your LLM spends its limited attention budget only on high-signal tokens.\n\n𝗧𝗵𝗲 𝗦𝗶𝘅 𝗣𝗶𝗹𝗹𝗮𝗿𝘀 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴:\n1️⃣ 𝗔𝗴𝗲𝗻𝘁𝘀: Orchestrate decisions and manage information flow dynamically\n2️⃣ 𝗤𝘂𝗲𝗿𝘆 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Refine user input for different downstream tasks\n3️⃣ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹: Optimize chunking strategies to balance precision and context\n4️⃣ 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀: Guide the model on how to use retrieved information\n5️⃣ 𝗠𝗲𝗺𝗼𝗿𝘆: Design layered systems (short-term, long-term, working) that don't pollute context\n6️⃣ 𝗧𝗼𝗼𝗹𝘀: Enable real-world action through the Thought-Action-Observation cycle\n\nThe blog includes a complete walkthrough of building a real-world agent with 𝗘𝗹𝘆𝘀𝗶𝗮, our open source agentic RAG framework. You'll see how built-in tools (query, aggregate, cited_summarize) and custom tools work together in a decision-tree architecture with global context awareness.\n\nRead the full blog post here: https://t.co/uuDcf3o0K2",
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