use-cases blank templates, CaptainAgent and ReasoningAgent

Signed-off-by: Mark Sze <[email protected]>

.pre-commit-config.yaml

@@ -65,7 +65,8 @@ repos:
               notebook/.* |
               test/agentchat/contrib/graph_rag/trip_planner_data/.* |
               test/agentchat/contrib/graph_rag/paul_graham_essay.txt |
-              website/package-lock.json
+              website/package-lock.json |
+              website/docs/use-cases/reference-agents/captainagent.mdx |
 
             )$
   # See https://jaredkhan.com/blog/mypy-pre-commit

website/docs/use-cases/reference-agents/communication-agents.mdx

@@ -1 +1,5 @@
+---
+title: Communication Agents
+---
+
 TODO

website/docs/use-cases/reference-agents/documentagent.mdx

@@ -1 +1,5 @@
+---
+title: DocumentAgent
+---
+
 TODO

website/docs/use-cases/reference-agents/index.md → website/docs/use-cases/reference-agents/index.mdx

@@ -1,4 +1,6 @@
-# Reference Agents
+---
+title: Reference Agents
+---
 
 Our reference agents are fully-functional agents while being a great platform for you to explore and build upon to make your own AG2 agents.
 
@@ -10,36 +12,36 @@ Able to self-determine, manage and orchestrate other agents and tools to solve c
 
 Breaks down tasks and uses a group of experts and tools to solve it.
 
-[Walk-through](captainagent.md)
+[Walk-through](captainagent)
 
 ## Communication Agents - DiscordAgent, SlackAgent, TelegramAgent
 
 Agents designed to be a part of a larger workflow, responsible for sending out messages on their platforms and wait for replies. A starting point to more advanced communication capabilities.
 
 Covering Discord, Slack, and Telegram. If you need to support another platform, use these agents as a starting point to create your own.
 
-[Walk-through](communication-agents.md)
+[Walk-through](communication-agents)
 
 ## DocumentAgent
 
 Whether it's a basic document, a complex financial report, or a web page, get up and running with RAG using DocumentAgent.
 
 Capable of loading, parsing, and querying across a variety of formats and, optionally, using a vector database.
 
-[Walk-through](documentagent.md)
+[Walk-through](documentagent)
 
 ## ReasoningAgent
 
 Enhance an LLM's reasoning capabilities through a systematic exploration of thought process. Able to utilize a number of strategies, such as Beam Search, Monte Carlo Tree Search, and Language Agent Tree Search.
 
 See if ReasoningAgent can answer your complex question.
 
-[Walk-through](reasoningagent.md)
+[Walk-through](reasoningagent)
 
 ## WebSurferAgent
 
 If you need to find the latest news from the web or get question answered that an LLM doesn't have knowledge of, use WebSurferAgent.
 
 WebSurferAgent is able to take your request and navigate the web until it finds what you need.
 
-[Walk-through](websurferagent.md)
+[Walk-through](websurferagent)