PHASE 5 — Proactive mining (Power tier only)

app/core/deep_agent.py

@@ -55,6 +55,22 @@ def _language_instruction(context: dict[str, Any]) -> str:
         f"All your output text must be written in {lang}."
     )
 
+def _proactive_hints_injection(context: dict[str, Any]) -> str:
+    """Return a system-prompt paragraph listing proactive behavioral hints.
+
+    Returns empty string when no hints or confidence below threshold.
+    Capped at 600 chars.
+    """
+    hints: list[str] = context.get("proactive_hints") or []
+    if not hints:
+        return ""
+    body = "\n".join(f"- {h}" for h in hints)
+    section = f"\n\nI noticed (behavioral patterns):\n{body}"
+    if len(section) > 600:
+        section = section[:597] + "..."
+    return section
+
+
 def _relational_memory_injection(context: dict[str, Any]) -> str:
     """Return a system-prompt paragraph listing known people/projects from relational memory.
 
@@ -921,6 +937,7 @@ async def run_home(user_id: str, message: str, context: dict[str, Any]) -> str:
         "home_system", _HOME_SYSTEM_PROMPT
     )
     system_prompt += _relational_memory_injection(context)
+    system_prompt += _proactive_hints_injection(context)
     system_prompt += _language_instruction(context)
     response = await _run_single_agent(
         user_id=user_id,
@@ -940,6 +957,7 @@ async def run_floating(user_id: str, message: str, context: dict[str, Any]) -> t
         "floating_system", _FLOATING_SYSTEM_PROMPT
     )
     system_prompt += _relational_memory_injection(context)
+    system_prompt += _proactive_hints_injection(context)
     system_prompt += _language_instruction(context)
     response = await _run_single_agent(
         user_id=user_id,
@@ -965,6 +983,7 @@ async def run_home_stream(
         "home_system", _HOME_SYSTEM_PROMPT
     )
     system_prompt += _relational_memory_injection(context)
+    system_prompt += _proactive_hints_injection(context)
     system_prompt += _language_instruction(context)
     text_chunks: list[str] = []
     async for event in _run_single_agent_stream(
@@ -999,6 +1018,7 @@ async def run_floating_stream(
         "floating_system", _FLOATING_SYSTEM_PROMPT
     )
     system_prompt += _relational_memory_injection(context)
+    system_prompt += _proactive_hints_injection(context)
     system_prompt += _language_instruction(context)
     sanitizer = _FloatingStreamSanitizer()
     emitted_sanitized = False