fix minor example bugs and typos (#32)

Co-authored-by: wenhao <[email protected]>
modelscope · Feb 23, 2024 · 91cedf7 · 91cedf7
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diff --git a/docs/sphinx_doc/source/tutorial/103-example.md b/docs/sphinx_doc/source/tutorial/103-example.md
@@ -52,7 +52,7 @@ from agentscope.agents import DialogAgent, UserAgent
 agentscope.init(model_configs="./openai_model_configs.json")
 
 # Create a dialog agent and a user agent
-dialogAgent = DialogAgent(name="assistant", model_config_name="gpt-4")
+dialogAgent = DialogAgent(name="assistant", model_config_name="gpt-4", sys_prompt="You are a helpful ai assistant")
 userAgent = UserAgent()
 ```
 

diff --git a/docs/sphinx_doc/source/tutorial/105-logging.md b/docs/sphinx_doc/source/tutorial/105-logging.md
@@ -79,8 +79,7 @@ agentscope.web.init(
 )
 ```
 
-By this way, you can see all the running instances and projects in `http://127.
-0.0.1:5000` as follows:
+By this way, you can see all the running instances and projects in `http://127.0.0.1:5000` as follows:
 
 ![webui](https://img.alicdn.com/imgextra/i3/O1CN01kpHFkn1HpeYEkn60I_!!6000000000807-0-tps-3104-1849.jpg)
 

diff --git a/docs/sphinx_doc/source/tutorial/201-agent.md b/docs/sphinx_doc/source/tutorial/201-agent.md
@@ -2,7 +2,7 @@
 
 # Customizing Your Own Agent
 
-This tutorial helps you to understand the `Agent` in mode depth and navigate through the process of crafting your own custom agent with AgentScope. We start by introducing the fundamental abstraction called `AgentBase`, which serves as the base class to maintain the general behaviors of all agents. Then, we will go through the *AgentPool*, an ensemble of pre-built, specialized agents, each designed with a specific purpose in mind. Finally, we will demonstrate how to customize your own agent, ensuring it fits the needs of your project.
+This tutorial helps you to understand the `Agent` in more depth and navigate through the process of crafting your own custom agent with AgentScope. We start by introducing the fundamental abstraction called `AgentBase`, which serves as the base class to maintain the general behaviors of all agents. Then, we will go through the *AgentPool*, an ensemble of pre-built, specialized agents, each designed with a specific purpose in mind. Finally, we will demonstrate how to customize your own agent, ensuring it fits the needs of your project.
 
 ## Understanding `AgentBase`