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context window composition

3 articles · 15 co-occurring · 0 contradictions · 0 briefs

Article explicitly defines what comprises the context window: system prompt, conversation history, tool calls/outputs, and file reads. This is a foundational concept for understanding context engineer

Related concepts
context window management 3 prompt engineering 2 agent architecture 2 tool use and function calling 1 tool integration patterns 1 state management 1 session lifecycle management 1 retrieval augmented generation 1 rag retrieval augmented generation 1 multi agent orchestration 1 memory persistence 1 information persistence across sessions 1 context rot 1 context preservation tradeoff 1 compaction strategy 1
Evidence chain (3 articles, showing 3)
Effective Context Engineering for AI Agents: The Missing Layer in AI Systems | Fluid AI Blog example_of

Article explicitly describes what should be in context windows: system instructions, user queries, retrieved knowledge, conversation history, tool outputs, structured data, memory records.

@dani_avila7: An article you need to read if you're serious about managing context in your ... example_of

Article explicitly defines what comprises the context window: system prompt, conversation history, tool calls/outputs, and file reads. This is a foundational concept for understanding context engineer

🦸🏻#14: What Is MCP, and Why Is Everyone – Suddenly!– Talking About It? example_of

MCP is a practical pattern for composing multiple external context sources (Drive, GitHub, Slack, Postgres) into a single AI context window.

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