Nitpick: API placeholder (#36)

Author: JohnRichard4096

docs/guide/getting-started/minimal-example.md

@@ -57,7 +57,7 @@ For most basic use cases, `create_agent` is sufficient and much simpler to use.
 To run the example:
 
 1. Install AmritaCore
-2. Replace `YOUR_API_ENDPOINT` and `YOUR_API_KEY` with actual values
+2. Replace `https://api.example.com` and `your-api-key` with actual values
 3. Execute the script with `python your_script.py`
 
 For debugging, you can enable verbose logging by configuring the logger in your code.

docs/zh/guide/api-reference/classes/AgentRuntime.md

@@ -60,7 +60,7 @@ agent = create_agent(
 )
 
 # 获取用于交互的聊天对象
-chat = agent.get_chatobject("你好，你能做什么？")
+chat = agent.get_chatobject("你好，What can you do?")
 
 # 执行交互
 async with chat.begin():

docs/zh/guide/api-reference/classes/AmritaAgentStrategy.md

@@ -60,7 +60,7 @@ from amrita_core.builtins.agent import AmritaAgentStrategy
 
 # 创建策略上下文
 ctx = StrategyContext(
-    user_input="你能做什么？",
+    user_input="What can you do?",
     original_context=message_context,
     chat_object=chat_obj
 )

docs/zh/guide/api-reference/classes/StrategyContext.md

@@ -37,7 +37,7 @@ from amrita_core.agent.context import StrategyContext
 
 # 创建策略上下文
 ctx = StrategyContext(
-    user_input="你能做什么？",
+    user_input="What can you do?",
     original_context=message_context,
     chat_object=chat_obj
 )

docs/zh/guide/builtins.md

@@ -128,7 +128,7 @@ async def example():
         model="gpt-4",
         model_config={"temperature": 0.7}
     )
-    chat = agent.get_chatobject("你能做什么？")
+    chat = agent.get_chatobject("What can you do?")
     async with chat.begin():
         response = await chat.full_response()
     return response

docs/zh/guide/concepts/agent-strategy.md

@@ -95,7 +95,7 @@ async def use_builtin_strategy():
     )
 
     # 使用 agent
-    chat = agent.get_chatobject("你能做什么？")
+    chat = agent.get_chatobject("What can you do?")
     async with chat.begin():
         response = await chat.full_response()
 

docs/zh/guide/getting-started/minimal-example.md

@@ -19,7 +19,7 @@ async def minimal_example():
     )
 
     # 获取用于交互的聊天对象
-    chat = agent.get_chatobject("你好，你能做什么？")
+    chat = agent.get_chatobject("你好，What can you do?")
 
     # 执行交互并获取响应
     async with chat.begin():
@@ -56,7 +56,7 @@ if __name__ == "__main__":
 要运行示例：
 
 1. 安装 AmritaCore
-2. 将 `YOUR_API_ENDPOINT` 和 `YOUR_API_KEY` 替换为实际值
+2. 将 `https://api.example.com` 和 `your-api-key` 替换为实际值
 3. 使用 `python your_script.py` 执行脚本
 
 要进行调试，您可以通过在代码中配置日志记录器来启用详细日志。

readmes/ZH_CN.md

@@ -181,7 +181,7 @@ async def main():
         model="gpt-4"
     )
 
-    chat = agent.get_chatobject("你好！你能做什么？")
+    chat = agent.get_chatobject("你好！What can you do?")
     async with chat.begin():
         response = await chat.full_response()
         print(response)