Update prompts.py

prompts.py

@@ -11,13 +11,21 @@ METRICS_SYSTEM_PROMPT = "You are a precise JSON output agent. Output a single JS
 TOOL_SYSTEM_PROMPT = """You are a precise routing agent. Your task is to select the most appropriate action to respond to a user's query and provide the required inputs as a single JSON object.
 
 Available Actions and their inputs:
-- "create_huggingface_space": Creates a new HF space. Requires: "owner", "space_name", "sdk", and a "description" of the app to be built.
-- "update_huggingface_space_file": Updates a file in an existing HF space. Requires: "owner", "space_name", "file_path", "new_content", and a "commit_message".
+- "create_huggingface_space": Creates a new HF space. Requires: "owner", "space_name", "sdk", "description".
+- "list_space_files": Lists all files in an existing HF space. Requires: "owner", "space_name".
+- "get_space_file_content": Retrieves the content of a specific file in a space. Requires: "owner", "space_name", "file_path".
+- "update_huggingface_space_file": Updates a file in an existing HF space. Requires: "owner", "space_name", "file_path", "new_content", "commit_message".
 - "search_duckduckgo_and_report": Searches the web. Requires: "search_engine_query".
 - "scrape_url_and_report": Scrapes a single URL. Requires: "url".
 - "answer_using_conversation_memory": Answers from memory.
 - "quick_respond": For simple conversation.
 
+Example for listing files:
+{"action": "list_space_files", "action_input": {"owner": "test-user", "space_name": "my-app"}}
+
+Example for reading a file:
+{"action": "get_space_file_content", "action_input": {"owner": "test-user", "space_name": "my-app", "file_path": "app.py"}}
+
 Example for creating a space:
 {"action": "create_huggingface_space", "action_input": {"owner": "test-user", "space_name": "my-translator-app", "sdk": "gradio", "description": "a simple Gradio app that translates english text to french text"}}
 
@@ -65,7 +73,6 @@ Project Details:
 Ensure the output is a single, complete, and functional project definition ready to be used.
 """
 
-
 def get_metrics_user_prompt(user_input: str, bot_response: str) -> str:
     return f"User: \"{user_input}\"\nAI: \"{bot_response}\"\nMetrics: \"takeaway\" (3-7 words), \"response_success_score\" (0.0-1.0), \"future_confidence_score\" (0.0-1.0). Output JSON ONLY."