diff --git a/test_llm_council.py b/test_llm_council.py
new file mode 100644
index 00000000..7efd74b3
--- /dev/null
+++ b/test_llm_council.py
@@ -0,0 +1,954 @@
+"""
+Tests for LLM Council implementation.
+
+Tests cover initialization, default council creation, custom members,
+workflow execution, batch processing, output types, and error handling.
+"""
+
+import pytest
+from unittest.mock import patch
+from swarms.structs.llm_council import (
+    LLMCouncil,
+    get_gpt_councilor_prompt,
+    get_gemini_councilor_prompt,
+    get_claude_councilor_prompt,
+    get_grok_councilor_prompt,
+    get_chairman_prompt,
+    get_evaluation_prompt,
+    get_synthesis_prompt,
+)
+from swarms.structs.agent import Agent
+from swarms.structs.conversation import Conversation
+
+
+def test_llm_council_basic_initialization():
+    """Test basic LLM Council initialization with default members"""
+    try:
+        council = LLMCouncil(
+            name="Test Council",
+            verbose=False,
+        )
+
+        assert council is not None
+        assert council.name == "Test Council"
+        assert council.verbose is False
+        assert council.output_type == "dict-all-except-first"
+        assert council.council_members is not None
+        assert len(council.council_members) == 4
+        assert council.chairman is not None
+        assert council.chairman.agent_name == "Chairman"
+        assert council.conversation is not None
+        assert isinstance(council.conversation, Conversation)
+    except Exception as e:
+        pytest.fail(f"Initialization failed with error: {e}")
+
+
+def test_llm_council_custom_members():
+    """Test LLM Council initialization with custom council members"""
+    try:
+        # Use a simple test model that doesn't require API keys for initialization
+        custom_member1 = Agent(
+            agent_name="Custom-Member-1",
+            agent_description="First custom council member",
+            model_name="gpt-4o-mini",  # Using a simpler model for tests
+            max_loops=1,
+            verbose=False,
+        )
+
+        custom_member2 = Agent(
+            agent_name="Custom-Member-2",
+            agent_description="Second custom council member",
+            model_name="gpt-4o-mini",  # Using a simpler model for tests
+            max_loops=1,
+            verbose=False,
+        )
+
+        assert custom_member1 is not None
+        assert custom_member2 is not None
+
+        council = LLMCouncil(
+            council_members=[custom_member1, custom_member2],
+            verbose=False,
+        )
+
+        assert council is not None
+        assert council.council_members is not None
+        assert len(council.council_members) == 2
+        assert council.council_members[0] is not None
+        assert council.council_members[1] is not None
+        assert council.council_members[0].agent_name == "Custom-Member-1"
+        assert council.council_members[1].agent_name == "Custom-Member-2"
+    except Exception as e:
+        pytest.fail(f"Custom members test failed with error: {e}")
+
+
+def test_llm_council_default_council_creation():
+    """Test that default council members are created correctly"""
+    try:
+        council = LLMCouncil(verbose=False)
+
+        assert council is not None
+        assert council.council_members is not None
+        assert len(council.council_members) > 0
+
+        member_names = [member.agent_name for member in council.council_members]
+        assert "GPT-5.1-Councilor" in member_names
+        assert "Gemini-3-Pro-Councilor" in member_names
+        assert "Claude-Sonnet-4.5-Councilor" in member_names
+        assert "Grok-4-Councilor" in member_names
+
+        # Verify each member has proper configuration
+        for member in council.council_members:
+            assert member is not None
+            assert member.max_loops == 1
+            assert member.verbose is False
+            assert member.agent_name is not None
+            assert member.model_name is not None
+    except Exception as e:
+        pytest.fail(f"Default council creation test failed with error: {e}")
+
+
+def test_llm_council_chairman_creation():
+    """Test that Chairman agent is created with correct configuration"""
+    try:
+        council = LLMCouncil(verbose=False)
+
+        assert council is not None
+        assert council.chairman is not None
+        assert council.chairman.agent_name is not None
+        assert council.chairman.agent_name == "Chairman"
+        assert council.chairman.max_loops == 1
+        assert council.chairman.temperature == 0.7
+        assert council.chairman.system_prompt is not None
+        assert "synthesize" in council.chairman.system_prompt.lower()
+    except Exception as e:
+        pytest.fail(f"Chairman creation test failed with error: {e}")
+
+
+def test_llm_council_conversation_initialization():
+    """Test that conversation object is properly initialized"""
+    try:
+        council = LLMCouncil(name="Test Council", verbose=False)
+
+        assert council is not None
+        assert council.conversation is not None
+        assert isinstance(council.conversation, Conversation)
+        assert council.conversation.name is not None
+        assert "[LLM Council]" in council.conversation.name
+        assert "Test Council" in council.conversation.name
+    except Exception as e:
+        pytest.fail(f"Conversation initialization test failed with error: {e}")
+
+
+def test_llm_council_different_output_types():
+    """Test LLM Council with different output types"""
+    try:
+        output_types = [
+            "dict-all-except-first",
+            "list",
+            "string",
+            "final",
+            "json",
+            "yaml",
+        ]
+
+        for output_type in output_types:
+            assert output_type is not None
+            council = LLMCouncil(
+                output_type=output_type,
+                verbose=False,
+            )
+            assert council is not None
+            assert council.output_type == output_type
+    except Exception as e:
+        pytest.fail(f"Different output types test failed with error: {e}")
+
+
+def test_llm_council_different_chairman_models():
+    """Test LLM Council with different chairman models"""
+    try:
+        models = ["gpt-4o", "gpt-4o-mini", "claude-3-5-sonnet-20241022"]
+
+        for model in models:
+            assert model is not None
+            council = LLMCouncil(
+                chairman_model=model,
+                verbose=False,
+            )
+            assert council is not None
+            assert council.chairman is not None
+            assert council.chairman.model_name == model
+    except Exception as e:
+        pytest.fail(f"Different chairman models test failed with error: {e}")
+
+
+def test_councilor_prompts():
+    """Test that councilor prompt functions return valid strings"""
+    try:
+        gpt_prompt = get_gpt_councilor_prompt()
+        assert gpt_prompt is not None
+        assert isinstance(gpt_prompt, str)
+        assert len(gpt_prompt) > 0
+        assert "GPT-5.1" in gpt_prompt or "council" in gpt_prompt.lower()
+
+        gemini_prompt = get_gemini_councilor_prompt()
+        assert gemini_prompt is not None
+        assert isinstance(gemini_prompt, str)
+        assert len(gemini_prompt) > 0
+
+        claude_prompt = get_claude_councilor_prompt()
+        assert claude_prompt is not None
+        assert isinstance(claude_prompt, str)
+        assert len(claude_prompt) > 0
+
+        grok_prompt = get_grok_councilor_prompt()
+        assert grok_prompt is not None
+        assert isinstance(grok_prompt, str)
+        assert len(grok_prompt) > 0
+    except Exception as e:
+        pytest.fail(f"Councilor prompts test failed with error: {e}")
+
+
+def test_chairman_prompt():
+    """Test that chairman prompt function returns valid string"""
+    try:
+        chairman_prompt = get_chairman_prompt()
+        assert chairman_prompt is not None
+        assert isinstance(chairman_prompt, str)
+        assert len(chairman_prompt) > 0
+        assert "synthesize" in chairman_prompt.lower()
+        assert "chairman" in chairman_prompt.lower()
+    except Exception as e:
+        pytest.fail(f"Chairman prompt test failed with error: {e}")
+
+
+def test_evaluation_prompt():
+    """Test evaluation prompt generation"""
+    try:
+        query = "What is the capital of France?"
+        responses = {
+            "A": "Paris is the capital of France.",
+            "B": "The capital city of France is Paris.",
+            "C": "France's capital is Paris.",
+        }
+        evaluator_name = "GPT-5.1-Councilor"
+
+        assert query is not None
+        assert responses is not None
+        assert evaluator_name is not None
+
+        prompt = get_evaluation_prompt(query, responses, evaluator_name)
+
+        assert prompt is not None
+        assert isinstance(prompt, str)
+        assert len(prompt) > 0
+        assert query in prompt
+        # Note: evaluator_name is passed but not included in the prompt text
+        assert "Response A" in prompt
+        assert "Response B" in prompt
+        assert "Response C" in prompt
+        assert "rank" in prompt.lower() or "evaluat" in prompt.lower()
+    except Exception as e:
+        pytest.fail(f"Evaluation prompt test failed with error: {e}")
+
+
+def test_synthesis_prompt():
+    """Test synthesis prompt generation"""
+    try:
+        query = "What is the capital of France?"
+        original_responses = {
+            "GPT-5.1-Councilor": "Paris is the capital of France.",
+            "Gemini-3-Pro-Councilor": "The capital city of France is Paris.",
+        }
+        evaluations = {
+            "GPT-5.1-Councilor": "Response A is the best because...",
+            "Gemini-3-Pro-Councilor": "Response B is comprehensive...",
+        }
+        id_to_member = {"A": "GPT-5.1-Councilor", "B": "Gemini-3-Pro-Councilor"}
+
+        assert query is not None
+        assert original_responses is not None
+        assert evaluations is not None
+        assert id_to_member is not None
+
+        prompt = get_synthesis_prompt(
+            query, original_responses, evaluations, id_to_member
+        )
+
+        assert prompt is not None
+        assert isinstance(prompt, str)
+        assert len(prompt) > 0
+        assert query in prompt
+        assert "GPT-5.1-Councilor" in prompt
+        assert "Gemini-3-Pro-Councilor" in prompt
+        assert "synthesize" in prompt.lower()
+    except Exception as e:
+        pytest.fail(f"Synthesis prompt test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_run_workflow(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test the full LLM Council workflow execution"""
+    try:
+        # Mock concurrent execution for initial responses
+        mock_concurrent_execution.return_value = {
+            "GPT-5.1-Councilor": "Response from GPT agent",
+            "Gemini-3-Pro-Councilor": "Response from Gemini agent",
+            "Claude-Sonnet-4.5-Councilor": "Response from Claude agent",
+            "Grok-4-Councilor": "Response from Grok agent",
+        }
+
+        # Mock batched execution for evaluations
+        mock_batched_execution.return_value = [
+            "Evaluation from GPT agent",
+            "Evaluation from Gemini agent",
+            "Evaluation from Claude agent",
+            "Evaluation from Grok agent",
+        ]
+
+        # Create council with real agents
+        council = LLMCouncil(verbose=False)
+
+        assert council is not None
+        assert council.chairman is not None
+        assert len(council.council_members) > 0
+
+        # Execute workflow (execution functions are mocked to avoid API calls)
+        result = council.run("What is the capital of France?")
+
+        # Verify workflow steps
+        assert mock_concurrent_execution.called
+        assert mock_batched_execution.called
+
+        # Verify conversation has been updated
+        assert council.conversation is not None
+        assert council.conversation.conversation_history is not None
+        assert len(council.conversation.conversation_history) > 0
+
+        # Verify result is not None
+        assert result is not None
+    except Exception as e:
+        pytest.fail(f"Workflow execution test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_run_conversation_tracking(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test that conversation is properly tracked throughout workflow"""
+    try:
+        # Mock responses
+        mock_concurrent_execution.return_value = {
+            "GPT-5.1-Councilor": "Test response 1",
+            "Gemini-3-Pro-Councilor": "Test response 2",
+        }
+
+        mock_batched_execution.return_value = [
+            "Evaluation 1",
+            "Evaluation 2",
+        ]
+
+        council = LLMCouncil(
+            council_members=[
+                Agent(
+                    agent_name="GPT-5.1-Councilor",
+                    model_name="gpt-4o-mini",  # Using a simpler model for tests
+                    max_loops=1,
+                    verbose=False,
+                ),
+                Agent(
+                    agent_name="Gemini-3-Pro-Councilor",
+                    model_name="gpt-4o-mini",  # Using a simpler model for tests
+                    max_loops=1,
+                    verbose=False,
+                ),
+            ],
+            verbose=False,
+        )
+
+        assert council is not None
+        assert council.conversation is not None
+        assert council.chairman is not None
+
+        query = "Test query"
+        assert query is not None
+
+        # Execute workflow (execution functions are mocked to avoid API calls)
+        council.run(query)
+
+        # Verify user query was added
+        assert council.conversation.conversation_history is not None
+        user_messages = [
+            msg for msg in council.conversation.conversation_history if msg.get("role") == "User"
+        ]
+        assert len(user_messages) > 0
+        assert user_messages[0] is not None
+        assert user_messages[0].get("content") == query
+
+        # Verify council member responses were added
+        member_responses = [
+            msg
+            for msg in council.conversation.conversation_history
+            if msg.get("role") in ["GPT-5.1-Councilor", "Gemini-3-Pro-Councilor"]
+        ]
+        assert len(member_responses) == 2
+
+        # Verify evaluations were added
+        evaluations = [
+            msg
+            for msg in council.conversation.conversation_history
+            if "Evaluation" in msg.get("role", "")
+        ]
+        assert len(evaluations) == 2
+
+        # Verify chairman response was added
+        chairman_messages = [
+            msg for msg in council.conversation.conversation_history if msg.get("role") == "Chairman"
+        ]
+        assert len(chairman_messages) > 0
+        assert chairman_messages[0] is not None
+    except Exception as e:
+        pytest.fail(f"Conversation tracking test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_anonymization(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test that responses are properly anonymized for evaluation"""
+    try:
+        mock_concurrent_execution.return_value = {
+            "GPT-5.1-Councilor": "Response 1",
+            "Gemini-3-Pro-Councilor": "Response 2",
+            "Claude-Sonnet-4.5-Councilor": "Response 3",
+            "Grok-4-Councilor": "Response 4",
+        }
+
+        mock_batched_execution.return_value = [
+            "Eval 1",
+            "Eval 2",
+            "Eval 3",
+            "Eval 4",
+        ]
+
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert council.chairman is not None
+        assert len(council.council_members) > 0
+
+        # Capture the evaluation prompt to verify anonymization
+        import swarms.structs.llm_council as llm_council_module
+        original_get_evaluation_prompt = llm_council_module.get_evaluation_prompt
+        captured_prompts = []
+
+        def capture_evaluation_prompt(query, responses, evaluator_name):
+            captured_prompts.append((query, responses, evaluator_name))
+            return original_get_evaluation_prompt(query, responses, evaluator_name)
+
+        with patch.object(
+            llm_council_module, "get_evaluation_prompt", side_effect=capture_evaluation_prompt
+        ):
+            council.run("Test query")
+
+        # Verify that evaluation prompts use anonymous IDs (A, B, C, D)
+        assert captured_prompts is not None
+        assert len(captured_prompts) > 0
+        for query, responses, evaluator_name in captured_prompts:
+            assert query is not None
+            assert responses is not None
+            assert evaluator_name is not None
+            # Responses should have anonymous IDs
+            assert any(
+                response_id in ["A", "B", "C", "D"]
+                for response_id in responses.keys()
+            )
+            # Should not contain actual member names in response IDs
+            assert "GPT-5.1-Councilor" not in str(responses.keys())
+            assert "Gemini-3-Pro-Councilor" not in str(responses.keys())
+    except Exception as e:
+        pytest.fail(f"Anonymization test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_batched_run(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test batch processing of multiple queries"""
+    try:
+        council = LLMCouncil(verbose=False)
+
+        assert council is not None
+        assert len(council.council_members) > 0
+
+        # Mock execution functions to avoid API calls
+        mock_concurrent_execution.return_value = {
+            member.agent_name: f"Response for {member.agent_name}"
+            for member in council.council_members
+        }
+        mock_batched_execution.return_value = [
+            f"Evaluation {i}" for i in range(len(council.council_members))
+        ]
+
+        tasks = ["Query 1", "Query 2", "Query 3"]
+        assert tasks is not None
+        assert len(tasks) > 0
+
+        results = council.batched_run(tasks)
+
+        assert results is not None
+        assert len(results) == 3
+        # Verify execution functions were called for each task
+        assert mock_concurrent_execution.call_count == 3
+    except Exception as e:
+        pytest.fail(f"Batched run test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_output_types(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test that different output types work correctly"""
+    try:
+        output_types = ["dict", "list", "string", "final"]
+
+        for output_type in output_types:
+            assert output_type is not None
+            council = LLMCouncil(
+                output_type=output_type,
+                verbose=False,
+            )
+            assert council is not None
+            assert council.chairman is not None
+            assert len(council.council_members) > 0
+
+            # Mock responses for all council members
+            mock_concurrent_execution.return_value = {
+                member.agent_name: f"Response from {member.agent_name}"
+                for member in council.council_members
+            }
+            mock_batched_execution.return_value = [
+                f"Evaluation {i}" for i in range(len(council.council_members))
+            ]
+
+            # Execute workflow (execution functions are mocked to avoid API calls)
+            result = council.run("Test query")
+
+            assert result is not None
+            # The exact format depends on history_output_formatter,
+            # but we can at least verify it returns something
+    except Exception as e:
+        pytest.fail(f"Output types test failed with error: {e}")
+
+
+def test_llm_council_verbose_mode():
+    """Test that verbose mode works without errors"""
+    try:
+        # This test mainly ensures verbose mode doesn't crash
+        council = LLMCouncil(verbose=True)
+
+        assert council is not None
+        # With verbose=True, initialization should print messages
+        # We just verify it doesn't raise an exception
+        assert council.verbose is True
+        assert council.council_members is not None
+        assert council.chairman is not None
+    except Exception as e:
+        pytest.fail(f"Verbose mode test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_empty_responses_handling(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test handling of empty or missing responses"""
+    try:
+        # Simulate some agents returning empty responses
+        mock_concurrent_execution.return_value = {
+            "GPT-5.1-Councilor": "Valid response",
+            "Gemini-3-Pro-Councilor": "",  # Empty response
+            "Claude-Sonnet-4.5-Councilor": "Another valid response",
+            "Grok-4-Councilor": None,  # Missing response
+        }
+
+        mock_batched_execution.return_value = [
+            "Eval 1",
+            "Eval 2",
+            "Eval 3",
+            "Eval 4",
+        ]
+
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert council.chairman is not None
+        assert len(council.council_members) > 0
+
+        # Should not crash even with empty/missing responses
+        # Execution functions are mocked to avoid API calls
+        result = council.run("Test query")
+        assert result is not None
+    except Exception as e:
+        pytest.fail(f"Empty responses handling test failed with error: {e}")
+
+
+def test_llm_council_single_member():
+    """Test LLM Council with a single council member"""
+    try:
+        single_member = Agent(
+            agent_name="Single-Member",
+            agent_description="Only council member",
+            model_name="gpt-4o-mini",  # Using a simpler model for tests
+            max_loops=1,
+            verbose=False,
+        )
+
+        assert single_member is not None
+
+        council = LLMCouncil(
+            council_members=[single_member],
+            verbose=False,
+        )
+
+        assert council is not None
+        assert council.council_members is not None
+        assert len(council.council_members) == 1
+        assert council.council_members[0] is not None
+        assert council.council_members[0].agent_name == "Single-Member"
+    except Exception as e:
+        pytest.fail(f"Single member test failed with error: {e}")
+
+
+def test_llm_council_custom_name_and_description():
+    """Test LLM Council with custom name and description"""
+    try:
+        custom_name = "Custom Council Name"
+        custom_description = "Custom council description for testing"
+
+        assert custom_name is not None
+        assert custom_description is not None
+
+        council = LLMCouncil(
+            name=custom_name,
+            description=custom_description,
+            verbose=False,
+        )
+
+        assert council is not None
+        assert council.name == custom_name
+        assert council.description == custom_description
+    except Exception as e:
+        pytest.fail(f"Custom name and description test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_chairman_synthesis_called(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test that chairman synthesis is called with correct prompt"""
+    try:
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert council.chairman is not None
+        assert len(council.council_members) > 0
+
+        # Mock responses for all council members
+        mock_concurrent_execution.return_value = {
+            member.agent_name: f"Response from {member.agent_name}"
+            for member in council.council_members
+        }
+        mock_batched_execution.return_value = [
+            f"Evaluation {i}" for i in range(len(council.council_members))
+        ]
+
+        query = "What is AI?"
+        assert query is not None
+
+        # Execute workflow (execution functions are mocked to avoid API calls)
+        result = council.run(query)
+
+        # Verify workflow completed
+        assert result is not None
+        assert mock_concurrent_execution.called
+        assert mock_batched_execution.called
+    except Exception as e:
+        pytest.fail(f"Chairman synthesis test failed with error: {e}")
+
+
+def test_llm_council_id_generation():
+    """Test that council gets a unique ID"""
+    try:
+        council1 = LLMCouncil(verbose=False)
+        council2 = LLMCouncil(verbose=False)
+
+        assert council1 is not None
+        assert council2 is not None
+
+        # IDs should be different (unless there's a collision, which is very unlikely)
+        # We at least verify they exist
+        assert hasattr(council1, "name")
+        assert hasattr(council2, "name")
+        assert council1.name is not None
+        assert council2.name is not None
+    except Exception as e:
+        pytest.fail(f"ID generation test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_evaluation_prompt_contains_all_responses(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test that evaluation prompts contain all responses"""
+    try:
+        responses = {
+            "GPT-5.1-Councilor": "Response A content",
+            "Gemini-3-Pro-Councilor": "Response B content",
+            "Claude-Sonnet-4.5-Councilor": "Response C content",
+            "Grok-4-Councilor": "Response D content",
+        }
+
+        assert responses is not None
+
+        mock_concurrent_execution.return_value = responses
+        mock_batched_execution.return_value = ["Eval 1", "Eval 2", "Eval 3", "Eval 4"]
+
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert council.chairman is not None
+        assert len(council.council_members) > 0
+
+        # Capture evaluation prompts
+        import swarms.structs.llm_council as llm_council_module
+        original_func = llm_council_module.get_evaluation_prompt
+        captured = []
+
+        def wrapper(*args, **kwargs):
+            result = original_func(*args, **kwargs)
+            captured.append((args, kwargs, result))
+            return result
+
+        with patch.object(
+            llm_council_module, "get_evaluation_prompt", side_effect=wrapper
+        ):
+            council.run("Test query")
+
+        # Verify evaluation prompts were created
+        assert captured is not None
+        assert len(captured) == 4  # One for each council member
+
+        # Verify each prompt contains all response IDs
+        for args, kwargs, prompt in captured:
+            assert args is not None
+            assert prompt is not None
+            query, anonymous_responses, evaluator_name = args
+            # Should have 4 anonymous responses (A, B, C, D)
+            assert anonymous_responses is not None
+            assert len(anonymous_responses) == 4
+            # Each response ID should be in the prompt
+            for response_id in anonymous_responses.keys():
+                assert response_id is not None
+                assert f"Response {response_id}" in prompt
+    except Exception as e:
+        pytest.fail(f"Evaluation prompt contains all responses test failed with error: {e}")
+
+
+def test_llm_council_error_handling_invalid_agents():
+    """Test error handling when invalid agents are provided"""
+    try:
+        # Test with empty list
+        council = LLMCouncil(
+            council_members=[],
+            verbose=False,
+        )
+        assert council is not None
+        assert council.council_members is not None
+        assert len(council.council_members) == 0
+    except Exception as e:
+        # It's okay if this raises an error, but we should handle it gracefully
+        assert isinstance(e, (ValueError, TypeError, AttributeError))
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_error_handling_none_query(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test error handling when None query is provided"""
+    try:
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert len(council.council_members) > 0
+
+        # Mock execution functions to avoid API calls
+        mock_concurrent_execution.return_value = {
+            member.agent_name: "Response"
+            for member in council.council_members
+        }
+        mock_batched_execution.return_value = [
+            "Eval" for _ in council.council_members
+        ]
+
+        # Should handle None query gracefully
+        try:
+            result = council.run(None)
+            # If it doesn't raise, result might be None or empty
+            # This is acceptable behavior
+            assert result is not None or result is None
+        except (TypeError, ValueError, AttributeError):
+            # Expected to raise error for None query
+            pass
+    except Exception as e:
+        # Initialization should work
+        assert isinstance(e, (TypeError, ValueError, AttributeError))
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_error_handling_agent_failure(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test error handling when an agent fails during execution"""
+    try:
+        # Simulate agent failure
+        mock_concurrent_execution.side_effect = Exception("Agent execution failed")
+
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+
+        # Should handle the exception gracefully
+        try:
+            result = council.run("Test query")
+            # If execution continues, result should still be returned
+            # (implementation may handle errors internally)
+        except Exception as e:
+            # It's acceptable for the method to raise if agents fail
+            assert isinstance(e, Exception)
+    except Exception as e:
+        pytest.fail(f"Error handling agent failure test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_error_handling_chairman_failure(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test error handling when chairman fails during synthesis"""
+    try:
+        mock_concurrent_execution.return_value = {
+            "GPT-5.1-Councilor": "Response 1",
+            "Gemini-3-Pro-Councilor": "Response 2",
+        }
+
+        mock_batched_execution.return_value = ["Eval 1", "Eval 2"]
+
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert council.chairman is not None
+        assert len(council.council_members) > 0
+
+        # Simulate chairman failure by creating a function that raises
+        def failing_run(*args, **kwargs):
+            raise Exception("Chairman synthesis failed")
+        
+        original_run = council.chairman.run
+        council.chairman.run = failing_run
+
+        # Should handle the exception gracefully
+        try:
+            result = council.run("Test query")
+            # If execution continues, result might be None or error message
+            # This depends on implementation
+            # Restore original method
+            council.chairman.run = original_run
+        except Exception as e:
+            # It's acceptable for the method to raise if chairman fails
+            assert isinstance(e, Exception)
+            # Restore original method
+            council.chairman.run = original_run
+    except Exception as e:
+        pytest.fail(f"Error handling chairman failure test failed with error: {e}")
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_error_handling_empty_string_query(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test error handling with empty string query"""
+    try:
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert len(council.council_members) > 0
+
+        # Mock execution functions to avoid API calls
+        mock_concurrent_execution.return_value = {
+            member.agent_name: "Response"
+            for member in council.council_members
+        }
+        mock_batched_execution.return_value = [
+            "Eval" for _ in council.council_members
+        ]
+
+        # Empty string should be handled
+        result = council.run("")
+        assert result is not None
+    except Exception as e:
+        # Empty string might be valid or might raise error
+        # Both behaviors are acceptable
+        assert isinstance(e, (ValueError, TypeError)) or True
+
+
+@patch("swarms.structs.llm_council.run_agents_concurrently")
+@patch("swarms.structs.llm_council.batched_grid_agent_execution")
+def test_llm_council_error_handling_missing_responses(
+    mock_batched_execution, mock_concurrent_execution
+):
+    """Test error handling when some agents don't return responses"""
+    try:
+        council = LLMCouncil(verbose=False)
+        assert council is not None
+        assert len(council.council_members) > 0
+
+        # Simulate missing responses - not all agents return
+        mock_concurrent_execution.return_value = {
+            council.council_members[0].agent_name: "Response 1",
+            # Missing other responses - they will default to empty string
+        }
+
+        # Must return same number of evaluations as council members
+        # Some can be empty or error messages to simulate missing evaluations
+        mock_batched_execution.return_value = [
+            "Eval 1" if i == 0 else "" 
+            for i in range(len(council.council_members))
+        ]
+
+        # Should handle missing responses gracefully
+        result = council.run("Test query")
+        assert result is not None
+    except Exception as e:
+        pytest.fail(f"Error handling missing responses test failed with error: {e}")
+
+
+def test_llm_council_error_handling_invalid_output_type():
+    """Test error handling with invalid output type"""
+    try:
+        # Invalid output type should either work or raise error gracefully
+        council = LLMCouncil(
+            output_type="invalid_type",
+            verbose=False,
+        )
+        assert council is not None
+        assert council.output_type == "invalid_type"
+        # The actual formatting might fail later, but initialization should work
+    except Exception as e:
+        # It's acceptable if invalid output type raises error
+        assert isinstance(e, (ValueError, TypeError))
+