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fix(docs): context docs formatting (#5751)
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**Context engineering** is the practice of building dynamic systems that provide the right information and tools, in the right format, so that an AI application can accomplish a task. Context can be characterized along two key dimensions:
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1. By **mutability**:
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- **Static context**: Immutable data that doesn't change during execution (e.g., user metadata, database connections, tools)
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- **Dynamic context**: Mutable data that evolves as the application runs (e.g., conversation history, intermediate results, tool call observations)
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- **Static context**: Immutable data that doesn't change during execution (e.g., user metadata, database connections, tools)
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- **Dynamic context**: Mutable data that evolves as the application runs (e.g., conversation history, intermediate results, tool call observations)
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2. By **lifetime**:
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- **Runtime context**: Data scoped to a single run or invocation
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- **Cross-conversation context**: Data that persists across multiple conversations or sessions
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- **Runtime context**: Data scoped to a single run or invocation
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- **Cross-conversation context**: Data that persists across multiple conversations or sessions
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!!! tip "Runtime context vs LLM context"
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