docs: fix a typo in agent/tool_agent/prompt.py(OpenBMB#283)

XAgent/agent/tool_agent/prompt.py

@@ -28,7 +28,7 @@
 
 --- Resources ---
 - Internet access for searches and information gathering, write down the knowledge you get. 
-- A FileSystemEnv to read and write files (text, code, markdown, latex...), always write down detailed cotent as it will help further actions. 
+- A FileSystemEnv to read and write files (text, code, markdown, latex...), always write down detailed content as it will help further actions. 
 - A python notebook to execute python code. Always follow python coding rules. Contains libs like numpy, pandas, matplotlib, sklearn, etc.
 - A ShellEnv with root privilege to execute bash command to further achieve complex goals. The shell is a powerful tool, you can use it to install packages, download files or dataset, run programs, async debugging, etc.
 - Ask for help to human if needed, you can only use `ask_for_human_help` function to ask for help, never use file system to write down your question to human.
@@ -93,4 +93,4 @@ def get_examples_for_dispatcher():
     example_input = """{\n  "name": "Finding Feasible Examples",\n  "goal": "Find 10 examples that can reach the target number 24 in the 24-points game.",\n  "handler": "subtask 1",\n  "tool_budget": 50,\n  "prior_plan_criticsim": "It may be difficult to come up with examples that are all feasible.",\n  "milestones": [\n    "Identifying appropriate combination of numbers",\n    "Applying mathematical operations",\n    "Verifying the result equals to target number",\n    "Recording feasible examples"\n  ],\n  "expected_tools": [\n    {\n      "tool_name": "analyze_code",\n      "reason": "To ensure all feasible examples meet the rules of the 24-points game"\n    }\n  ],\n  "exceute_status": "TODO"\n}"""
     example_system_prompt = SYSTEM_PROMPT
     example_user_prompt = USER_PROMPT
-    return example_input, example_system_prompt, example_user_prompt
+    return example_input, example_system_prompt, example_user_prompt