FIX_ORCHESTRATOR_SUBAGENTS.md

🔧 Fix: Orchestrator Now Finds Subagents

Problem Identified

After implementing per-user agent isolation, the Orchestrator agent was not delegating tasks to subagents. Instead, it would plan to invoke subagents but then provide a generic clinical recommendation without actually calling them.

Example Behavior (Broken):

User: "how to treat a 65 YO F w/ c.diff..."
Orchestrator: "🎯 Enhanced Execution Plan..."
User: "proceed"
Orchestrator: "🚀 Executing plan...🎯 Comprehensive Clinical Recommendation..."
  (Generic response, no subagent invocation)

Root Cause

The OrchestratorAgent was being initialized with an empty agents configuration because it was trying to access the global agents_config dictionary:

# OLD (Broken):
# In chat_orchestrator.py line 244:
runtime_agents_config = getattr(app_module, 'agents_config', {})  # ❌ Global = empty
orch = OrchestratorAgent(runtime_agents_config, api_key)  # No subagents available!

Since all agents are now stored per-user in session storage, the global dictionary was empty, so the orchestrator thought there were no subagents to delegate to.

---

Solution Applied

1. Updated simulate_agent_response_stream Function

Added a user_agents_config parameter to pass the user's agent configurations:

# chat_orchestrator.py
async def simulate_agent_response_stream(
    agent_json, 
    history, 
    user_input, 
    debug_flag, 
    active_children, 
    user_agents_config=None  # ✅ NEW parameter
):
    """
    Args:
        user_agents_config: Dict of user's agent configurations (for orchestrator subagents)
    """

2. Updated Orchestrator Initialization Logic

Modified the orchestrator creation to use the per-user config:

# OLD (Broken):
if 'app' in sys.modules:
    app_module = sys.modules['app']
    runtime_agents_config = getattr(app_module, 'agents_config', {})  # ❌ Empty
else:
    from config import agents_config as runtime_agents_config

# NEW (Fixed):
if user_agents_config is not None:
    runtime_agents_config = user_agents_config  # ✅ Use user's agents
else:
    # Fallback to global (legacy)
    import sys
    if 'app' in sys.modules:
        app_module = sys.modules['app']
        runtime_agents_config = getattr(app_module, 'agents_config', {})
    else:
        from config import agents_config as runtime_agents_config

orch = OrchestratorAgent(runtime_agents_config, api_key)  # ✅ Now has subagents!

3. Updated All Function Calls in app.py

Updated 3 locations where simulate_agent_response_stream is called to pass the user's agents:

Location 1: chatpanel_handle() (Deployed Chat Panel)

async def run_stream():
    # Get user's agents config for orchestrator subagents
    user_agents_cfg = get_user_agents_config(request)  # ✅ NEW
    async for updated_history, _, invocation_log, _, challenger_info in simulate_agent_response_stream(
        agent_json=agent_json,
        history=history,
        user_input=user_text,
        debug_flag=False,
        active_children=[],
        user_agents_config=user_agents_cfg  # ✅ PASS user's agents
    ):
        yield updated_history, invocation_log

Location 2: builderpanel_handle_with_dynamic_vars() (Builder Panel)

async def run_stream():
    # Get user's agents config for orchestrator subagents
    user_agents_cfg = get_user_agents_config(request)  # ✅ NEW
    gen = simulate_agent_response_stream(
        agent_json=agent_json_val,
        history=history_val,
        user_input=user_text,
        debug_flag=False,
        active_children=[],
        user_agents_config=user_agents_cfg  # ✅ PASS user's agents
    )

Location 3: chatpanel_handle_with_dynamic_vars() (Deployed Chat with Dynamic Fields)

async def run_stream():
    final_history = history_val
    final_invocation_log = ""
    challenger_info = None
    
    # Get user's agents config for orchestrator subagents
    user_agents_cfg = get_user_agents_config(request)  # ✅ NEW
    gen = simulate_agent_response_stream(
        agent_json=agent_json_val,
        history=history_val,
        user_input=user_text,
        debug_flag=False,
        active_children=[],
        user_agents_config=user_agents_cfg  # ✅ PASS user's agents
    )

---

How It Works Now

Expected Behavior (Fixed):

1. User creates orchestrator + subagents:

   • Orchestrator agent: "ID Maestro"
   • Subagent 1: "Stewardship Expert"
   • Subagent 2: "Infectious Disease Specialist"
   • All stored in user's session

2. User chats with orchestrator:

   User: "how to treat a 65 YO F w/ c.diff..."
   Orchestrator: "🎯 Enhanced Execution Plan..."
     - Will invoke: "Stewardship Expert"
     - Will invoke: "Infectious Disease Specialist"
   User: "proceed"
   Orchestrator: "🚀 Executing plan..."
     ✅ Calls "Stewardship Expert" → Gets response
     ✅ Calls "Infectious Disease Specialist" → Gets response
     ✅ Synthesizes responses into comprehensive recommendation
   

3. Orchestrator now has access to:

   • ✅ All user's subagents
   • ✅ Can delegate tasks properly
   • ✅ Can synthesize multi-agent responses

---

Multi-User Isolation Preserved

User A's Workspace:

User A's Agents:
  - Orchestrator: "ID Maestro A"
  - Subagent: "Stewardship Expert A"
  - Subagent: "ID Specialist A"

When User A's orchestrator runs:
  ✅ Sees only User A's subagents
  ✅ Can delegate to "Stewardship Expert A" and "ID Specialist A"

User B's Workspace:

User B's Agents:
  - Orchestrator: "ID Maestro B"
  - Subagent: "Cardiology Expert B"
  - Subagent: "Pharmacy Expert B"

When User B's orchestrator runs:
  ✅ Sees only User B's subagents
  ✅ Can delegate to "Cardiology Expert B" and "Pharmacy Expert B"

No cross-contamination! Each orchestrator only sees and uses its user's subagents.

---

Testing

Quick Test:

1. Build subagents first:

   • Create a specialist agent (e.g., "Stewardship Expert")
   • Create another specialist (e.g., "ID Consultant")

2. Build orchestrator:

   • Create orchestrator agent type
   • Name it (e.g., "ID Maestro")

3. Chat with orchestrator:

   You: "Patient with complicated UTI, what antibiotics?"
   Orchestrator: Creates execution plan
   You: "proceed"
   Orchestrator: ✅ Should invoke your subagents and synthesize their responses
   

4. Verify:

   • ✅ See "Invoking [SubagentName]" in execution log
   • ✅ See subagent-specific responses
   • ✅ See synthesized final recommendation

---

Files Modified

File	Changes	Lines
core/agents/chat_orchestrator.py	Added user_agents_config parameter, updated orchestrator init	+14, -8
app.py	Updated 3 function calls to pass user agents config	+12, -4

---

Deployment Status

✅ Fixed and Deployed

• Commit: e10b7d3
• Message: "Fix: Orchestrator now finds subagents - Pass per-user agents config to orchestrator"
• Space: https://huggingface.co/spaces/John-jero/IDWeekAgents
• Status: LIVE

---

Impact

✅ Orchestrators Work Properly - Can now delegate to subagents
✅ Multi-Agent Workflows Functional - Complex agent hierarchies work
✅ Isolation Maintained - Each user's orchestrator sees only their subagents
✅ No Breaking Changes - Backward compatible with non-orchestrator agents

---

Complete Isolation Status

✅ All Agent Operations Isolated:

1. ✅ Agent creation (per-user)
2. ✅ Agent storage (per-user)
3. ✅ Agent listing (per-user)
4. ✅ Agent editing (per-user)
5. ✅ Agent deletion (per-user)
6. ✅ Simple agent chat (per-user)
7. ✅ Deployed agent chat (per-user)
8. ✅ Orchestrator subagent access (per-user) ← FIXED
9. ✅ Chat histories (per-user)
10. ✅ UI display (per-user)

---

Next Steps

1. ✅ Test orchestrator with multiple subagents
2. ✅ Verify subagent invocation logs appear
3. ✅ Test with different users to confirm isolation
4. ✅ Ready for workshop!

---

Orchestrator multi-agent workflows are now fully functional! 🎉🎼

Your workshop participants can now:

• Build complex multi-agent systems
• Use orchestrators to coordinate specialist agents
• See detailed execution logs
• Work completely isolated from other users