update nav

docs/OpenManus/01_llm.md

@@ -1,3 +1,10 @@
+---
+layout: default
+title: "LLM"
+parent: "OpenManus"
+nav_order: 1
+---
+
 # Chapter 1: The LLM - Your Agent's Brainpower
 
 Welcome to the OpenManus tutorial! We're thrilled to have you on board. Let's start with the absolute core of any intelligent agent: the "brain" that does the thinking and understanding. In OpenManus, this brainpower comes from something called a **Large Language Model (LLM)**, and we interact with it using our `LLM` class.

docs/OpenManus/02_message___memory.md

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+---
+layout: default
+title: "Message & Memory"
+parent: "OpenManus"
+nav_order: 2
+---
+
 # Chapter 2: Message / Memory - Remembering the Conversation
 
 In [Chapter 1: The LLM - Your Agent's Brainpower](01_llm.md), we learned how our agent uses the `LLM` class to access its "thinking" capabilities. But just like humans, an agent needs to remember what was said earlier in a conversation to make sense of new requests and respond appropriately.

docs/OpenManus/03_baseagent.md

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+---
+layout: default
+title: "BaseAgent"
+parent: "OpenManus"
+nav_order: 3
+---
+
 # Chapter 3: BaseAgent - The Agent Blueprint
 
 In the previous chapters, we learned about the "brain" ([Chapter 1: The LLM](01_llm.md)) that powers our agents and how they remember conversations using [Chapter 2: Message / Memory](02_message___memory.md). Now, let's talk about the agent itself!
@@ -114,7 +121,7 @@ What actually happens when you call `agent.run()`? The `BaseAgent` provides a st
 9.  **Finalize:** Once the loop finishes (either `max_steps` reached or state changed to `FINISHED`/`ERROR`), it sets the state back to `IDLE` (unless it ended in `ERROR`).
 10. **Return Results:** It returns a string summarizing the results from all the steps.
 
-Here’s a simplified diagram showing the flow:
+Here's a simplified diagram showing the flow:
 
 ```mermaid
 sequenceDiagram

docs/OpenManus/04_tool___toolcollection.md

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+---
+layout: default
+title: "Tool & ToolCollection"
+parent: "OpenManus"
+nav_order: 4
+---
+
 # Chapter 4: Tool / ToolCollection - Giving Your Agent Skills
 
 In [Chapter 3: BaseAgent - The Agent Blueprint](03_baseagent.md), we learned how `BaseAgent` provides the standard structure for our agents, including a brain ([LLM](01_llm.md)) and memory ([Message / Memory](02_message___memory.md)). But what if we want our agent to do more than just *think* and *remember*? What if we want it to *act* in the world – like searching the web, running code, or editing files?

docs/OpenManus/05_baseflow.md

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+---
+layout: default
+title: "BaseFlow"
+parent: "OpenManus"
+nav_order: 5
+---
+
 # Chapter 5: BaseFlow - Managing Multi-Step Projects
 
 In [Chapter 4: Tool / ToolCollection](04_tool___toolcollection.md), we saw how to give agents specific skills like web searching or running code using Tools. Now, imagine you have a task that requires multiple steps, maybe even using different skills (tools) or agents along the way. How do you coordinate this complex work?