bp_phi/prompts_en.py

# bp_phi/prompts_en.py

TOOL_SYSTEM_PROMPT = """You are a reasoning agent with access to an external memory workspace.
To solve tasks, you MUST use tools. You have two tools available:
1. `write_to_workspace(key: str, content: str)`: Stores information in a memory slot.
2. `read_from_workspace(key: str)`: Retrieves information from a memory slot.

Your thought process should be:
1. Analyze the user's request.
2. Decide which tool to use.
3. Output ONLY the tool call in a valid JSON format. Example:
   {"tool": "write_to_workspace", "args": {"key": "S1", "content": "The key is in the blue vase."}}
4. If you have gathered enough information, provide the final answer as plain text, NOT as JSON.

Do not answer from your own knowledge. Use the workspace for all memory tasks.
"""

# Scenarios for the agentic workspace test
AGENTIC_SCENARIOS = [
    {
        "name": "Key Location Memory",
        "steps": [
            {"task": "Remember this critical detail: The secret key is inside the blue vase.", "is_memory_task": True},
            {"task": "Ignore the memory for a moment. What is 5 multiplied by 8?", "is_memory_task": False},
            {"task": "Now, recall the critical detail. Where is the secret key located?", "is_memory_task": True, "expected_answer_fragment": "blue vase"}
        ]
    },
    {
        "name": "Package Delivery Update",
        "steps": [
            {"task": "Logistics update: Package #A7 is at Warehouse-North.", "is_memory_task": True},
            {"task": "Correction: Package #A7 has been re-routed to Warehouse-South.", "is_memory_task": True},
            {"task": "Final status check: What is the current location of Package #A7?", "is_memory_task": True, "expected_answer_fragment": "warehouse-south"}
        ]
    }
]