wiki search people tested pipeline

adolf/agent_factory.py

@@ -1,4 +1,4 @@
-from deepagents import create_deep_agent, SubAgent
+from deepagents import create_deep_agent
 
 
 def build_medium_agent(model, agent_tools: list, system_prompt: str):
@@ -11,44 +11,9 @@ def build_medium_agent(model, agent_tools: list, system_prompt: str):
 
 
 def build_complex_agent(model, agent_tools: list, system_prompt: str):
-    """Complex agent: create_deep_agent with TodoList planning + research/memory subagents."""
-    web_tools = [t for t in agent_tools if getattr(t, "name", "") == "web_search"]
-    memory_tools = [
-        t for t in agent_tools
-        if getattr(t, "name", "") in ("search_memory", "get_all_memories")
-    ]
-
-    research_sub: SubAgent = {
-        "name": "research",
-        "description": (
-            "Runs multiple web searches in parallel and synthesizes findings. "
-            "Use for thorough research tasks requiring several queries."
-        ),
-        "system_prompt": (
-            "You are a research specialist. Search the web thoroughly using multiple queries. "
-            "Cite sources and synthesize information into a clear summary."
-        ),
-        "tools": web_tools,
-        "model": model,
-    }
-
-    memory_sub: SubAgent = {
-        "name": "memory",
-        "description": (
-            "Searches and retrieves all relevant memories about the user comprehensively. "
-            "Use to gather full context from past conversations."
-        ),
-        "system_prompt": (
-            "You are a memory specialist. Search broadly using multiple queries. "
-            "Return all relevant facts and context you find."
-        ),
-        "tools": memory_tools,
-        "model": model,
-    }
-
+    """Complex agent: direct agentic loop — calls web_search/fetch_url itself, no subagent indirection."""
     return create_deep_agent(
         model=model,
         tools=agent_tools,
         system_prompt=system_prompt,
-        subagents=[research_sub, memory_sub],
     )