From 296bf5f75ea450e35ddad52eab39f766863f168f Mon Sep 17 00:00:00 2001
From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
Date: Wed, 30 Jul 2025 16:41:49 -0400
Subject: [PATCH] fix(docs): context docs formatting (#5751)

---
 docs/docs/agents/context.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/docs/agents/context.md b/docs/docs/agents/context.md
index 204f734e8..5aa71a608 100644
--- a/docs/docs/agents/context.md
+++ b/docs/docs/agents/context.md
@@ -3,11 +3,11 @@
 **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:
 
 1. By **mutability**:
-   - **Static context**: Immutable data that doesn't change during execution (e.g., user metadata, database connections, tools)
-   - **Dynamic context**: Mutable data that evolves as the application runs (e.g., conversation history, intermediate results, tool call observations)
+    - **Static context**: Immutable data that doesn't change during execution (e.g., user metadata, database connections, tools)
+    - **Dynamic context**: Mutable data that evolves as the application runs (e.g., conversation history, intermediate results, tool call observations)
 2. By **lifetime**:
-   - **Runtime context**: Data scoped to a single run or invocation
-   - **Cross-conversation context**: Data that persists across multiple conversations or sessions
+    - **Runtime context**: Data scoped to a single run or invocation
+    - **Cross-conversation context**: Data that persists across multiple conversations or sessions
 
 !!! tip "Runtime context vs LLM context"