# prompts.py
# Qwen-2.5 Compatible Prompts

def get_ocr_extraction_prompt(raw_text: str) -> str:
    return f"""<|im_start|>system
You are a precise Data Extraction Engine.
Extract data from the text below and return a JSON object.
Fields: contact_name, total_amount, currency, invoice_date, line_items (name, quantity, rate).
Output ONLY JSON. No markdown.
<|im_end|>
<|im_start|>user
Input Text:
{raw_text[:3000]}

Return the JSON:
<|im_end|>
<|im_start|>assistant
"""

def get_agent_prompt(history_text: str, user_message: str) -> str:
    """
    Agent Prompt: Decides whether to Chat or Call Tools based on History.
    """
    return f"""<|im_start|>system
You are the Zoho CRM Assistant.

AVAILABLE TOOLS:
1. create_record(module_name, record_data)
2. create_invoice(data)

RULES:
1. REVIEW THE CHAT HISTORY. If you see extracted JSON data in the history, use it.
2. TRIGGER CONDITION: ONLY call a tool if the user explicitly asks to "save", "create", "push", or "upload".
3. If the user has NOT confirmed, just answer their questions or summarize the data.
4. TOOL FORMAT: Return a JSON object: {{"tool": "name", "args": {{...}}}}
5. Return ONLY JSON for tool calls.
<|im_end|>
<|im_start|>user
HISTORY:
{history_text}

CURRENT REQUEST:
{user_message}
<|im_end|>
<|im_start|>assistant
"""