Add application files

mcp/agents/autonomous_agent_hf.py

@@ -178,14 +178,27 @@ You have access to MCP (Model Context Protocol) tools that let you:
 - Send emails and manage email threads
 - Schedule meetings and generate calendar invites
 
-Your task is to help with B2B sales prospecting by:
-1. Researching companies using web search
-2. Saving important company data and facts
-3. Creating prospect profiles
-4. Managing communications
+CRITICAL: You MUST call tools to save data. Do NOT just describe what you would do - actually call the tools!
 
-Use the available tools to complete tasks efficiently. Call multiple tools if needed.
-When you have completed the task, provide a summary of what you accomplished."""
+TOOL CALL FORMAT - You must output valid JSON for each tool call:
+```json
+{"prospect_id": "prospect_1", "company_id": "company_1", "company_name": "Acme Corp", "company_domain": "acme.com", "fit_score": 85}
+```
+
+Example workflow:
+1. Call search_web to find companies
+2. For EACH company found, call save_prospect with JSON parameters
+3. For EACH contact, call save_contact with JSON like:
+   {"contact_id": "contact_1", "company_id": "company_1", "email": "[email protected]", "first_name": "John", "last_name": "Smith", "title": "CEO"}
+4. Call send_email to draft outreach
+
+IMPORTANT RULES:
+- ALWAYS use tool calls with proper JSON parameters - never just describe the action
+- Use realistic email formats: [email protected]
+- Each tool call must have all required fields
+- Do NOT hallucinate or make up contact details without calling save_contact tool
+
+After completing tool calls, provide a brief summary."""
 
         # Initialize conversation
         messages = [
@@ -580,9 +593,6 @@ When you have completed the task, provide a summary of what you accomplished."""
                 import re
                 tool_calls = []
 
-                # First strip thinking tags for tool call parsing
-                text_clean = strip_thinking(text)
-
                 def extract_json_objects(text):
                     """Extract all JSON objects from text, handling nested braces"""
                     objects = []
@@ -608,8 +618,14 @@ When you have completed the task, provide a summary of what you accomplished."""
                             i += 1
                     return objects
 
-                # Extract all JSON objects from the text
-                all_json_objects = extract_json_objects(text_clean)
+                # IMPORTANT: Search BOTH raw text AND stripped text for JSON objects
+                # Qwen3 may put tool calls inside <think> tags
+                all_json_objects = extract_json_objects(text)  # Search raw first
+
+                # Also search stripped version in case JSON is outside think tags
+                text_clean = strip_thinking(text)
+                if text_clean != text:
+                    all_json_objects.extend(extract_json_objects(text_clean))
                 logger.info(f"Found {len(all_json_objects)} JSON objects in response")
 
                 # Process each JSON object and infer tool