diff --git a/flo_ai/examples/arium_examples.py b/flo_ai/examples/arium_examples.py
index 853c6639..51745916 100644
--- a/flo_ai/examples/arium_examples.py
+++ b/flo_ai/examples/arium_examples.py
@@ -7,17 +7,12 @@
 from flo_ai.llm import OpenAI
 from flo_ai.models import TextMessageContent, UserMessage
 from flo_ai.models.agent import Agent
-from flo_ai.tool import flo_tool
-from flo_ai.tool.base_tool import Tool
-from flo_ai.arium.memory import MessageMemory
+from flo_ai.arium.nodes import FunctionNode
+from flo_ai.arium.memory import MessageMemory, MessageMemoryItem
+from flo_ai.models import BaseMessage
+from typing import List
 
 
-@flo_tool(
-    description='Calculate mathematical expressions',
-    parameter_descriptions={
-        'result': 'The result to print',
-    },
-)
 async def print_result(result: str) -> str:
     print(f'Result: {result}')
     return result
@@ -25,9 +20,9 @@ async def print_result(result: str) -> str:
 
 # Example 1: Simple Linear Workflow
 async def example_linear_workflow():
-    """Example of a simple linear workflow: Agent -> Tool -> Agent"""
+    """Example of a simple linear workflow: Agent -> FunctionNode -> Agent"""
 
-    # Create some example agents and tools (these would be your actual implementations)
+    # Create some example agents and function nodes (these would be your actual implementations)
     analyzer_agent = Agent(
         name='analyzer',
         system_prompt='Analyze the input',
@@ -38,16 +33,19 @@ async def example_linear_workflow():
         system_prompt='Summarize the results',
         llm=OpenAI(model='gpt-4o-mini'),
     )
+    processing_function_node = FunctionNode(
+        name='processor', description='Process the input', function=print_result
+    )
 
     # Build and run the workflow
     result = await (
         AriumBuilder()
         .add_agent(analyzer_agent)
-        .add_tool(print_result.tool)
+        .add_function_node(processing_function_node)
         .add_agent(summarizer_agent)
         .start_with(analyzer_agent)
-        .connect(analyzer_agent, print_result.tool)
-        .connect(print_result.tool, summarizer_agent)
+        .connect(analyzer_agent, processing_function_node)
+        .connect(processing_function_node, summarizer_agent)
         .end_with(summarizer_agent)
         .build_and_run([UserMessage(TextMessageContent(text='Analyze this text'))])
     )
@@ -59,10 +57,14 @@ async def example_linear_workflow():
 async def example_branching_workflow():
     """Example of a branching workflow with conditional routing"""
 
-    # Create agents and tools
+    # Create agents and function nodes
     classifier_agent = Agent(name='classifier', prompt='Classify the input type')
-    text_processor = Tool(name='text_processor')
-    image_processor = Tool(name='image_processor')
+    text_processor_node = FunctionNode(
+        name='text_processor', description='Process text', function=lambda x: x
+    )
+    image_processor_node = FunctionNode(
+        name='image_processor', description='Process image', function=lambda x: x
+    )
     final_agent = Agent(name='final', prompt='Provide final response')
 
     # Router function for conditional branching
@@ -77,32 +79,49 @@ def content_router(memory) -> Literal['text_processor', 'image_processor']:
     result = await (
         AriumBuilder()
         .add_agent(classifier_agent)
-        .add_tool(text_processor)
-        .add_tool(image_processor)
         .add_agent(final_agent)
+        .add_function_node(
+            FunctionNode(
+                name='text_processor', description='Process text', function=lambda x: x
+            )
+        )
+        .add_function_node(
+            FunctionNode(
+                name='image_processor',
+                description='Process image',
+                function=lambda x: x,
+            )
+        )
         .start_with(classifier_agent)
-        .add_edge(classifier_agent, [text_processor, image_processor], content_router)
-        .connect(text_processor, final_agent)
-        .connect(image_processor, final_agent)
+        .add_edge(
+            classifier_agent,
+            [text_processor_node, image_processor_node],
+            content_router,
+        )
+        .connect(text_processor_node, final_agent)
+        .connect(image_processor_node, final_agent)
         .end_with(final_agent)
         .build_and_run(['Process this content'])
     )
-
     return result
 
 
 # Example 3: Complex Multi-Agent Workflow
 async def example_complex_workflow():
-    """Example of a more complex workflow with multiple agents and tools"""
+    """Example of a more complex workflow with multiple agents and function nodes"""
 
-    # Create multiple agents and tools
+    # Create multiple agents and function nodes
     input_agent = Agent(name='input_handler', prompt='Handle initial input')
     researcher_agent = Agent(name='researcher', prompt='Research the topic')
     analyzer_agent = Agent(name='analyzer', prompt='Analyze findings')
     writer_agent = Agent(name='writer', prompt='Write the final report')
 
-    search_tool = Tool(name='search_tool')
-    data_tool = Tool(name='data_processor')
+    search_function_node = FunctionNode(
+        name='search_function', description='Search the web', function=lambda x: x
+    )
+    data_function_node = FunctionNode(
+        name='data_function', description='Process the data', function=lambda x: x
+    )
 
     # Router for deciding next step after analysis
     def analysis_router(memory) -> Literal['writer', 'researcher']:
@@ -114,13 +133,13 @@ def analysis_router(memory) -> Literal['writer', 'researcher']:
     arium = (
         AriumBuilder()
         .add_agents([input_agent, researcher_agent, analyzer_agent, writer_agent])
-        .add_tools([search_tool, data_tool])
+        .add_function_nodes([search_function_node, data_function_node])
         .with_memory(MessageMemory())
         .start_with(input_agent)
         .connect(input_agent, researcher_agent)
-        .connect(researcher_agent, search_tool)
-        .connect(search_tool, data_tool)
-        .connect(data_tool, analyzer_agent)
+        .connect(researcher_agent, search_function_node)
+        .connect(search_function_node, data_function_node)
+        .connect(data_function_node, analyzer_agent)
         .add_edge(analyzer_agent, [writer_agent, researcher_agent], analysis_router)
         .end_with(writer_agent)
         .build()
@@ -177,6 +196,78 @@ async def example_build_and_reuse():
     return result1, result2
 
 
+# Example 6: Four FunctionNodes with input filtering (no agents)
+async def example_function_nodes_with_filters():
+    """Workflow of only FunctionNodes; each uses input_filter to read from specific nodes."""
+
+    # Define simple functions as nodes
+    async def pass_through(inputs: List[BaseMessage] | str, variables=None, **kwargs):
+        return inputs[-1].content
+
+    async def capitalize_last(
+        inputs: List[BaseMessage] | str, variables=None, **kwargs
+    ):
+        return str(inputs[-1].content).capitalize()
+
+    async def uppercase_all(inputs: List[BaseMessage] | str, variables=None, **kwargs):
+        return ' '.join([str(x.content).upper() for x in inputs])
+
+    async def summarize(inputs: List[BaseMessage] | str, variables=None, **kwargs):
+        return f"count={len(inputs or [])} last={(str(inputs[-1].content) if inputs else '')}"
+
+    # Create four FunctionNodes with input filters
+    t1 = FunctionNode(
+        name='function1',
+        description='reads initial inputs',
+        function=pass_through,
+        input_filter=['input'],
+    )
+    t2 = FunctionNode(
+        name='function2',
+        description='reads function1 only',
+        function=capitalize_last,
+        input_filter=['function1'],
+    )
+    t3 = FunctionNode(
+        name='function3',
+        description='reads function2 only',
+        function=uppercase_all,
+        input_filter=['function2'],
+    )
+    t4 = FunctionNode(
+        name='function4',
+        description='reads function1 & function3',
+        function=summarize,
+        input_filter=['function1', 'function3'],
+    )
+
+    # Build and run: function1 -> function2 -> function3 -> function4
+    state = 1
+
+    def router(memory: MessageMemory) -> Literal['function2', 'function4']:
+        nonlocal state
+        if state == 1:
+            state = 2
+            return 'function2'
+        else:
+            state = 1
+            return 'function4'
+
+    result = await (
+        AriumBuilder()
+        .with_memory(MessageMemory())
+        .add_function_nodes([t1, t2, t3, t4])
+        .start_with(t1)
+        .add_edge(t1, [t2, t4], router=router)
+        .connect(t2, t3)
+        .connect(t3, t1)
+        .end_with(t4)
+        .build_and_run(['hello world'])
+    )
+
+    return result
+
+
 if __name__ == '__main__':
     import asyncio
 
@@ -190,6 +281,10 @@ async def main():
         # result3 = await example_complex_workflow()
         # result4 = await example_convenience_function()
         # result5 = await example_build_and_reuse()
+        result6: List[MessageMemoryItem] = await example_function_nodes_with_filters()
+
+        print(result6[-1].result.content)
+
         print('Examples completed!')
 
     asyncio.run(main())
diff --git a/flo_ai/examples/arium_yaml_example.py b/flo_ai/examples/arium_yaml_example.py
index 46e3cc59..51c67aa1 100644
--- a/flo_ai/examples/arium_yaml_example.py
+++ b/flo_ai/examples/arium_yaml_example.py
@@ -6,12 +6,14 @@
 """
 
 import asyncio
-from typing import Dict, Literal
+from typing import Dict, Literal, Callable, Optional
 from flo_ai.arium.builder import AriumBuilder
-from flo_ai.models import TextMessageContent, UserMessage
+from flo_ai.arium.memory import MessageMemoryItem
+from flo_ai.models import UserMessage
 from flo_ai.tool.base_tool import Tool
 from flo_ai.llm import OpenAI
 from flo_ai.arium.memory import BaseMemory
+from typing import List
 
 
 # Example YAML configuration for a simple linear workflow (using direct agent definition)
@@ -139,6 +141,141 @@
 """
 
 
+# Example YAML configuration with function nodes
+FUNCTION_NODES_WORKFLOW_YAML = """
+metadata:
+  name: function-nodes-workflow
+  version: 1.0.0
+  description: "A workflow demonstrating function nodes for data processing"
+
+arium:
+  agents:
+    - name: data_analyzer
+      role: Data Analyzer
+      job: >
+        You are a data analyzer. Analyze the input data and extract key information.
+        Pass the analyzed data to the next processing step.
+      model:
+        provider: openai
+        name: gpt-4o-mini
+      settings:
+        temperature: 0.3
+        
+    - name: report_formatter
+      role: Report Formatter
+      job: >
+        You are a report formatter. Take the processed data and format it into
+        a well-structured final report.
+      model:
+        provider: openai
+        name: gpt-4o-mini
+      settings:
+        temperature: 0.2
+        
+  function_nodes:
+    - name: data_validator
+      function_name: validate_data
+      description: "Validates and cleans input data"
+      
+    - name: data_transformer
+      function_name: transform_data
+      description: "Transforms data into a structured format"
+      
+  workflow:
+    start: data_analyzer
+    edges:
+      - from: data_analyzer
+        to: [data_validator]
+      - from: data_validator
+        to: [data_transformer]
+      - from: data_transformer
+        to: [report_formatter]
+      - from: report_formatter
+        to: [end]
+    end: [report_formatter]
+"""
+
+
+# Example YAML configuration mixing agents, function nodes, and routing
+MIXED_NODES_WORKFLOW_YAML = """
+metadata:
+  name: mixed-nodes-workflow
+  version: 1.0.0
+  description: "A workflow mixing agents, function nodes, and conditional routing"
+
+arium:
+  agents:
+    - name: dispatcher
+      role: Workflow Dispatcher
+      job: >
+        You are a workflow dispatcher. Analyze the input and determine the appropriate
+        processing path: mathematical operations, text processing, or direct summarization.
+      model:
+        provider: openai
+        name: gpt-4o-mini
+      settings:
+        reasoning_pattern: REACT
+        
+    - name: math_agent
+      role: Mathematics Agent
+      job: >
+        You are a mathematics agent. Perform mathematical analysis and calculations
+        on the provided data.
+      model:
+        provider: openai
+        name: gpt-4o-mini
+      tools: ["calculator"]
+      settings:
+        reasoning_pattern: REACT
+        
+    - name: text_agent
+      role: Text Processing Agent
+      job: >
+        You are a text processing agent. Analyze and process text content.
+      model:
+        provider: openai
+        name: gpt-4o-mini
+      tools: ["text_processor"]
+      settings:
+        reasoning_pattern: REACT
+        
+    - name: final_summarizer
+      role: Final Summarizer
+      job: >
+        You are the final summarizer. Create a comprehensive summary of all processing results.
+      model:
+        provider: openai
+        name: gpt-4o-mini
+        
+  function_nodes:
+    - name: preprocessor
+      function_name: preprocess_input
+      description: "Preprocesses input data before agent processing"
+      
+    - name: result_aggregator
+      function_name: aggregate_results
+      description: "Aggregates results from multiple processing paths"
+      
+  workflow:
+    start: dispatcher
+    edges:
+      - from: dispatcher
+        to: [preprocessor]
+      - from: preprocessor
+        to: [math_agent, text_agent, final_summarizer]
+        router: dispatch_router
+      - from: math_agent
+        to: [result_aggregator]
+      - from: text_agent
+        to: [result_aggregator]
+      - from: result_aggregator
+        to: [final_summarizer]
+      - from: final_summarizer
+        to: [end]
+    end: [final_summarizer]
+"""
+
+
 # Example showing mixed configuration approaches
 MIXED_CONFIG_YAML = """
 metadata:
@@ -244,6 +381,31 @@ def research_router(
         return 'final_summarizer'
 
 
+# Custom router function for the mixed nodes workflow
+def dispatch_router(
+    memory: BaseMemory,
+) -> Literal['math_agent', 'text_agent', 'final_summarizer']:
+    """
+    Custom router for the mixed nodes workflow that decides the next step.
+    """
+    memory_content = memory.get()
+    latest_message = memory_content[-1] if memory_content else {}
+    content_text = str(latest_message).lower()
+
+    if any(
+        keyword in content_text
+        for keyword in ['calculate', 'math', 'number', 'compute', 'add', 'multiply']
+    ):
+        return 'math_agent'
+    elif any(
+        keyword in content_text
+        for keyword in ['text', 'analyze', 'process', 'parse', 'word']
+    ):
+        return 'text_agent'
+    else:
+        return 'final_summarizer'
+
+
 async def create_example_tools() -> Dict[str, Tool]:
     """Create example tools for the workflow."""
 
@@ -309,6 +471,67 @@ async def process_text(text: str, operation: str = 'analyze') -> str:
     }
 
 
+async def create_example_functions() -> Dict[str, Callable]:
+    """Create example functions for function nodes."""
+    from typing import List, Any
+
+    async def validate_data(
+        inputs: List[Any], variables: Optional[Dict[str, Any]] = None, **kwargs
+    ) -> str:
+        """Validates and cleans input data."""
+        text = str(inputs[-1]) if inputs else ''
+
+        cleaned = ' '.join(text.split())
+        if not cleaned:
+            return 'Error: Empty input data'
+
+        validation_result = (
+            f'✓ Data validated: {len(cleaned)} characters, {len(cleaned.split())} words'
+        )
+        return validation_result
+
+    async def transform_data(
+        inputs: List[Any], variables: Optional[Dict[str, Any]] = None, **kwargs
+    ) -> str:
+        """Transforms data into a structured format."""
+        text = str(inputs[-1]) if inputs else ''
+
+        words = text.split()
+        transformed = f'STRUCTURED DATA:\n- Word count: {len(words)}\n- Character count: {len(text)}\n- Content: {text[:100]}...'
+        return transformed
+
+    async def preprocess_input(
+        inputs: List[Any], variables: Optional[Dict[str, Any]] = None, **kwargs
+    ) -> str:
+        """Preprocesses input data before agent processing."""
+        text = str(inputs[-1]) if inputs else ''
+
+        normalized = text.strip().lower()
+        preprocessed = f'[PREPROCESSED] {normalized}'
+        return preprocessed
+
+    async def aggregate_results(
+        inputs: List[Any], variables: Optional[Dict[str, Any]] = None, **kwargs
+    ) -> str:
+        """Aggregates results from multiple processing paths."""
+        results = []
+        for inp in inputs:
+            if hasattr(inp, 'content'):
+                results.append(str(inp.content))
+            else:
+                results.append(str(inp))
+
+        aggregated = 'AGGREGATED RESULTS:\n' + '\n'.join(f'- {r}' for r in results)
+        return aggregated
+
+    return {
+        'validate_data': validate_data,
+        'transform_data': transform_data,
+        'preprocess_input': preprocess_input,
+        'aggregate_results': aggregate_results,
+    }
+
+
 async def run_simple_example():
     """Run the simple workflow example."""
     print('=' * 60)
@@ -319,22 +542,20 @@ async def run_simple_example():
     builder = AriumBuilder.from_yaml(yaml_str=SIMPLE_WORKFLOW_YAML)
 
     # Run the workflow
-    result = await builder.build_and_run(
+    result: List[MessageMemoryItem] = await builder.build_and_run(
         [
             UserMessage(
-                TextMessageContent(
-                    text='Machine learning is transforming healthcare by enabling predictive analytics, '
-                    'personalized treatment recommendations, and automated medical imaging analysis. '
-                    'However, challenges include data privacy concerns, the need for regulatory approval, '
-                    'and ensuring AI systems are transparent and unbiased in their decision-making.',
-                )
-            ),
+                'Machine learning is transforming healthcare by enabling predictive analytics, '
+                'personalized treatment recommendations, and automated medical imaging analysis. '
+                'However, challenges include data privacy concerns, the need for regulatory approval, '
+                'and ensuring AI systems are transparent and unbiased in their decision-making.',
+            )
         ]
     )
 
     print('Result:')
-    for i, message in enumerate(result):
-        print(f'{i+1}. {message}')
+    for i, message in enumerate[MessageMemoryItem](result):
+        print(f'{i+1}. {message.result.content}')
 
     return result
 
@@ -353,7 +574,7 @@ async def run_complex_example():
 
     # Create builder from YAML
     builder = AriumBuilder.from_yaml(
-        yaml_str=COMPLEX_WORKFLOW_YAML, tools=tools, routers=routers
+        yaml_str=COMPLEX_WORKFLOW_YAML, tool_registry=tools, routers=routers
     )
 
     # Test with mathematical content
@@ -363,34 +584,30 @@ async def run_complex_example():
     )
 
     print('Result:')
-    for i, message in enumerate(result1):
-        print(f'{i+1}. {message}')
+    for i, message in enumerate[MessageMemoryItem](result1):
+        print(f'{i+1}. {message.result.content}')
 
     # Reset and test with text content
     print('\nTesting with text content:')
     builder.reset()
     builder = AriumBuilder.from_yaml(
-        yaml_str=COMPLEX_WORKFLOW_YAML, tools=tools, routers=routers
+        yaml_str=COMPLEX_WORKFLOW_YAML, tool_registry=tools, routers=routers
     )
 
     result2 = await builder.build_and_run(
         [
             UserMessage(
-                TextMessageContent(
-                    text="Please analyze this text and process it: 'The quick brown fox jumps over the lazy dog. ",
-                )
+                "Please analyze this text and process it: 'The quick brown fox jumps over the lazy dog.'"
             ),
             UserMessage(
-                TextMessageContent(
-                    text="This sentence contains every letter of the alphabet at least once.'",
-                )
+                "This sentence contains every letter of the alphabet at least once.'"
             ),
         ]
     )
 
     print('Result:')
-    for i, message in enumerate(result2):
-        print(f'{i+1}. {message}')
+    for i, message in enumerate[MessageMemoryItem](result2):
+        print(f'{i+1}. {message.result.content}')
 
     return result1, result2
 
@@ -408,23 +625,107 @@ async def run_mixed_config_example():
     result = await builder.build_and_run(
         [
             UserMessage(
-                TextMessageContent(
-                    text='Please analyze this business report: Our Q3 revenue increased by 15% compared to Q2, '
-                    'driven primarily by strong performance in the software division. However, hardware sales '
-                    'declined by 8%. Customer satisfaction scores improved to 4.2/5.0. We recommend focusing '
-                    'on digital transformation initiatives and reconsidering the hardware product line.',
-                )
+                'Please analyze this business report: Our Q3 revenue increased by 15% compared to Q2, '
+                'driven primarily by strong performance in the software division. However, hardware sales '
+                'declined by 8%. Customer satisfaction scores improved to 4.2/5.0. We recommend focusing '
+                'on digital transformation initiatives and reconsidering the hardware product line.'
+            ),
+        ]
+    )
+
+    print('Result:')
+    for i, message in enumerate[MessageMemoryItem](result):
+        print(f'{i+1}. {message.result.content}')
+
+    return result
+
+
+async def run_function_nodes_example():
+    """Run the function nodes workflow example."""
+    print('\n' + '=' * 60)
+    print('RUNNING FUNCTION NODES WORKFLOW EXAMPLE')
+    print('=' * 60)
+
+    # Create function registry
+    functions = await create_example_functions()
+
+    # Create builder from YAML with function registry
+    builder = AriumBuilder.from_yaml(
+        yaml_str=FUNCTION_NODES_WORKFLOW_YAML, function_registry=functions
+    )
+
+    # Run the workflow
+    result = await builder.build_and_run(
+        [
+            UserMessage(
+                'Sample data for processing: Customer satisfaction scores show 85% positive feedback, '
+                'with response times averaging 2.3 minutes. Revenue increased by 12% this quarter.'
             ),
         ]
     )
 
     print('Result:')
-    for i, message in enumerate(result):
-        print(f'{i+1}. {message}')
+    for i, message in enumerate[MessageMemoryItem](result):
+        print(f'{i+1}. {message.result.content}')
 
     return result
 
 
+async def run_mixed_nodes_example():
+    """Run the mixed nodes workflow example with agents, function nodes, and routing."""
+    print('\n' + '=' * 60)
+    print('RUNNING MIXED NODES WORKFLOW EXAMPLE')
+    print('=' * 60)
+
+    # Create tools and functions
+    tools = await create_example_tools()
+    functions = await create_example_functions()
+    routers = {'dispatch_router': dispatch_router}
+
+    # Create builder from YAML
+    builder = AriumBuilder.from_yaml(
+        yaml_str=MIXED_NODES_WORKFLOW_YAML,
+        tool_registry=tools,
+        function_registry=functions,
+        routers=routers,
+    )
+
+    # Test with mathematical content
+    print('\nTesting with mathematical content:')
+    result1 = await builder.build_and_run(
+        ['Please calculate the sum of 15 and 27, then multiply by 2.']
+    )
+
+    print('Result:')
+    for i, message in enumerate[MessageMemoryItem](result1):
+        print(f'{i+1}. {message.result.content}')
+
+    # Reset and test with text content
+    print('\nTesting with text content:')
+    builder.reset()
+    builder = AriumBuilder.from_yaml(
+        yaml_str=MIXED_NODES_WORKFLOW_YAML,
+        tool_registry=tools,
+        function_registry=functions,
+        routers=routers,
+    )
+
+    result2 = await builder.build_and_run(
+        [
+            UserMessage(
+                'Please analyze and process this text: Machine learning algorithms '
+                'are transforming how we process and understand data.'
+            ),
+        ]
+    )
+
+    print('Result:')
+    for i, message in enumerate[MessageMemoryItem](result2):
+        print(f'{i+1}. {message.result.content}')
+
+    return result1, result2
+
+
 async def run_prebuilt_agents_example():
     """Run example using pre-built agents with YAML workflow."""
     print('\n' + '=' * 60)
@@ -530,8 +831,8 @@ async def run_prebuilt_agents_example():
     )
 
     print('Result:')
-    for i, message in enumerate(result):
-        print(f'{i+1}. {message}')
+    for i, message in enumerate[MessageMemoryItem](result):
+        print(f'{i+1}. {message.result.content}')
 
     return result
 
@@ -548,6 +849,12 @@ async def main():
         # Run mixed configuration example
         await run_mixed_config_example()
 
+        # Run function nodes example
+        await run_function_nodes_example()
+
+        # Run mixed nodes example
+        await run_mixed_nodes_example()
+
         # Run pre-built agents example
         await run_prebuilt_agents_example()
 
@@ -558,7 +865,9 @@ async def main():
         print('   • Simple linear workflow with direct agent configuration')
         print('   • Complex workflow with tools and conditional routing')
         print('   • Mixed configuration approaches')
-        print('   • Pre-built agents with YAML workflow (NEW!)')
+        print('   • Function nodes workflow (NEW!)')
+        print('   • Mixed nodes workflow with agents and function nodes (NEW!)')
+        print('   • Pre-built agents with YAML workflow')
 
     except Exception as e:
         print(f'Error running examples: {e}')
diff --git a/flo_ai/examples/chat_history.py b/flo_ai/examples/chat_history.py
index 4009f525..12c32fab 100644
--- a/flo_ai/examples/chat_history.py
+++ b/flo_ai/examples/chat_history.py
@@ -1,13 +1,9 @@
 import asyncio
-from typing import Any
+from typing import List
 from flo_ai.builder.agent_builder import AgentBuilder
 from flo_ai.llm import Gemini
 from flo_ai.models.agent import Agent
-from flo_ai.models import (
-    AssistantMessage,
-    UserMessage,
-    TextMessageContent,
-)
+from flo_ai.models import AssistantMessage, UserMessage, BaseMessage
 from flo_ai.tool import flo_tool
 
 
@@ -34,37 +30,21 @@ async def main() -> None:
         .build()
     )
 
-    response: Any = await agent.run(
+    response: List[BaseMessage] = await agent.run(
         [
-            UserMessage(
-                TextMessageContent(
-                    text='What is the formula for the area of a circle?'
-                ),
-            ),
-            AssistantMessage(
-                TextMessageContent(
-                    text='The formula for the area of a circle is πr^2.'
-                ),
-            ),
-            UserMessage(
-                TextMessageContent(
-                    text='What is the formula for the area of a rectangle?'
-                )
-            ),
+            UserMessage('What is the formula for the area of a circle?'),
+            AssistantMessage('The formula for the area of a circle is πr^2.'),
+            UserMessage('What is the formula for the area of a rectangle?'),
             AssistantMessage(
-                TextMessageContent(
-                    text='The formula for the area of a rectangle is length * width.',
-                ),
+                'The formula for the area of a rectangle is length * width.'
             ),
             UserMessage(
-                TextMessageContent(
-                    text='What is the area of a rectable of length <length> and breadth <breadth>',
-                ),
+                'What is the area of a rectable of length <length> and breadth <breadth>'
             ),
         ],
         variables={'length': 10, 'breadth': 70},
     )
-    print(f'Response: {response}')
+    print(f'Response: {response[-1].content}')
 
 
 asyncio.run(main())
diff --git a/flo_ai/flo_ai/arium/arium.py b/flo_ai/flo_ai/arium/arium.py
index 2605a705..feb7a686 100644
--- a/flo_ai/flo_ai/arium/arium.py
+++ b/flo_ai/flo_ai/arium/arium.py
@@ -1,12 +1,11 @@
 from flo_ai.arium.base import BaseArium
-from flo_ai.arium.memory import MessageMemory, BaseMemory
+from flo_ai.arium.memory import MessageMemory, BaseMemory, MessageMemoryItem
 from flo_ai.models import BaseMessage, UserMessage, TextMessageContent
 from typing import List, Dict, Any, Optional, Callable
 from flo_ai.models.agent import Agent
-from flo_ai.tool.base_tool import Tool
 from flo_ai.arium.models import StartNode, EndNode
 from flo_ai.arium.events import AriumEventType, AriumEvent
-from flo_ai.arium.nodes import AriumNode, ForEachNode
+from flo_ai.arium.nodes import AriumNode, ForEachNode, FunctionNode
 from flo_ai.utils.logger import logger
 from flo_ai.utils.variable_extractor import (
     extract_variables_from_inputs,
@@ -205,7 +204,10 @@ async def _execute_graph(
         events_filter: Optional[List[AriumEventType]] = None,
         variables: Optional[Dict[str, Any]] = None,
     ):
-        [self.memory.add(msg) for msg in inputs]
+        [
+            self.memory.add(MessageMemoryItem(node='input', occurrence=0, result=msg))
+            for msg in inputs
+        ]
 
         current_node = self.nodes[self.start_node_name]
         current_edge = self.edges[self.start_node_name]
@@ -252,11 +254,15 @@ async def _execute_graph(
             )
 
             if isinstance(result, List):  # for each node will give results array
-                self._add_to_memory(result[-1])
+                self._add_to_memory(
+                    MessageMemoryItem(node=current_node.name, result=result[-1])
+                )
             else:
                 # update results to memory
                 if result:
-                    self._add_to_memory(result)
+                    self._add_to_memory(
+                        MessageMemoryItem(node=current_node.name, result=result)
+                    )
 
             # find next node post current node
             # Prepare execution context for router functions
@@ -398,7 +404,7 @@ def _resolve_agent_prompts(self, variables: Dict[str, Any]) -> None:
 
     async def _execute_node(
         self,
-        node: Agent | Tool | StartNode | EndNode,
+        node: Agent | FunctionNode | ForEachNode | AriumNode | StartNode | EndNode,
         event_callback: Optional[Callable[[AriumEvent], None]] = None,
         events_filter: Optional[List[AriumEventType]] = None,
         variables: Optional[Dict[str, Any]] = None,
@@ -417,8 +423,8 @@ async def _execute_node(
         # Determine node type for events
         if isinstance(node, Agent):
             node_type = 'agent'
-        elif isinstance(node, Tool):
-            node_type = 'tool'
+        elif isinstance(node, FunctionNode):
+            node_type = 'function'
         elif isinstance(node, ForEachNode):
             node_type = 'foreach'
         elif isinstance(node, AriumNode):
@@ -444,6 +450,12 @@ async def _execute_node(
 
         # Start node telemetry tracing
         tracer = get_tracer()
+        memory_items = (
+            self.memory.get(getattr(node, 'input_filter', None))
+            if getattr(node, 'input_filter', None)
+            else self.memory.get()
+        )
+        inputs = [item.result for item in memory_items]
 
         if tracer and node_type not in ['start', 'end']:
             with tracer.start_as_current_span(
@@ -456,21 +468,20 @@ async def _execute_node(
             ) as node_span:
                 try:
                     # Execute the node based on its type
+
                     if isinstance(node, Agent):
                         # Variables are already resolved, pass empty dict to avoid re-processing
-                        result = await node.run(self.memory.get(), variables={})
-                    elif isinstance(node, Tool):
-                        result = await node.run(inputs=[], variables=None)
+                        result = await node.run(inputs, variables={})
+                    elif isinstance(node, FunctionNode):
+                        result = await node.run(inputs, variables=None)
                     elif isinstance(node, ForEachNode):
                         result = await node.run(
-                            inputs=self.memory.get(),
+                            inputs,
                             variables=variables,
                         )
                     elif isinstance(node, AriumNode):
                         # AriumNode execution
-                        result = await node.run(
-                            inputs=self.memory.get(), variables=variables
-                        )
+                        result = await node.run(inputs, variables=variables)
                     elif isinstance(node, StartNode):
                         result = None
                     elif isinstance(node, EndNode):
@@ -541,18 +552,16 @@ async def _execute_node(
             try:
                 # Execute the node based on its type
                 if isinstance(node, Agent):
-                    result = await node.run(self.memory.get(), variables={})
-                elif isinstance(node, Tool):
-                    result = await node.run(inputs=[], variables=None)
+                    result = await node.run(inputs, variables={})
+                elif isinstance(node, FunctionNode):
+                    result = await node.run(inputs, variables=None)
                 elif isinstance(node, ForEachNode):
                     result = await node.run(
-                        inputs=self.memory.get(),
+                        inputs,
                         variables=variables,
                     )
                 elif isinstance(node, AriumNode):
-                    result = await node.run(
-                        inputs=self.memory.get(), variables=variables
-                    )
+                    result = await node.run(inputs, variables=variables)
                 elif isinstance(node, StartNode):
                     result = None
                 elif isinstance(node, EndNode):
@@ -593,9 +602,8 @@ async def _execute_node(
                 # Re-raise the exception
                 raise e
 
-    def _add_to_memory(self, result: BaseMessage):
+    def _add_to_memory(self, message: MessageMemoryItem):
         """
-        Store result in memory, converting strings to AssistantMessage if needed.
-        Agent responses should be stored as AssistantMessage, not UserMessage.
+        Store message in memory
         """
-        self.memory.add(result)
+        self.memory.add(message)
diff --git a/flo_ai/flo_ai/arium/base.py b/flo_ai/flo_ai/arium/base.py
index 258dd850..08f40691 100644
--- a/flo_ai/flo_ai/arium/base.py
+++ b/flo_ai/flo_ai/arium/base.py
@@ -14,8 +14,10 @@ class BaseArium:
     def __init__(self):
         self.start_node_name = '__start__'
         self.end_node_names: set = set()  # Support multiple end nodes
-        self.nodes: Dict[str, ExecutableNode | StartNode | EndNode] = dict()
-        self.edges: Dict[str, Edge] = dict()
+        self.nodes: Dict[str, ExecutableNode | StartNode | EndNode] = dict[
+            str, ExecutableNode | StartNode | EndNode
+        ]()
+        self.edges: Dict[str, Edge] = dict[str, Edge]()
 
     def add_nodes(self, agents: List[ExecutableNode | StartNode | EndNode]):
         self.nodes.update({agent.name: agent for agent in agents})
diff --git a/flo_ai/flo_ai/arium/builder.py b/flo_ai/flo_ai/arium/builder.py
index b540ba2e..8ee349da 100644
--- a/flo_ai/flo_ai/arium/builder.py
+++ b/flo_ai/flo_ai/arium/builder.py
@@ -1,15 +1,16 @@
 from typing import List, Optional, Callable, Union, Dict, Any
 from flo_ai.arium.arium import Arium
-from flo_ai.arium.memory import MessageMemory, BaseMemory
+from flo_ai.arium.memory import MessageMemory, BaseMemory, MessageMemoryItem
 from flo_ai.arium.protocols import ExecutableNode
 from flo_ai.arium.nodes import AriumNode, ForEachNode
-from flo_ai.models import BaseMessage, TextMessageContent, UserMessage
+from flo_ai.models import BaseMessage, UserMessage
 from flo_ai.models.agent import Agent, resolve_variables
 from flo_ai.tool.base_tool import Tool
 import yaml
 from flo_ai.builder.agent_builder import AgentBuilder
 from flo_ai.llm import BaseLLM
 from flo_ai.arium.llm_router import create_llm_router
+from flo_ai.arium.nodes import FunctionNode
 
 
 class AriumBuilder:
@@ -20,23 +21,23 @@ class AriumBuilder:
         result = (AriumBuilder()
                   .with_memory(my_memory)
                   .add_agent(agent1)
-                  .add_tool(tool1)
+                  .add_function_node(function_node1)
                   .start_with(agent1)
-                  .add_edge(agent1, [tool1], router_fn)
-                  .end_with(tool1)
+                  .add_edge(agent1, [function_node1], router_fn)
+                  .end_with(function_node1)
                   .build_and_run(["Hello, world!"]))
     """
 
     def __init__(self):
         self._memory: Optional[BaseMemory] = None
         self._agents: List[Agent] = []
-        self._tools: List[Tool] = []
         self._ariums: List[
             AriumNode
         ] = []  # only those ariums which are part of main workflow
         self._foreach_nodes: List[ForEachNode] = []
         self._start_node: Optional[ExecutableNode] = None
         self._end_nodes: List[ExecutableNode] = []
+        self._function_nodes: List[FunctionNode] = []
         self._edges: List[tuple] = []  # (from_node, to_nodes, router)
         self._arium: Optional[Arium] = None
         self._all_ariums: List[
@@ -58,14 +59,14 @@ def add_agents(self, agents: List[Agent]) -> 'AriumBuilder':
         self._agents.extend(agents)
         return self
 
-    def add_tool(self, tool: Tool) -> 'AriumBuilder':
-        """Add a tool to the Arium."""
-        self._tools.append(tool)
+    def add_function_node(self, function_node: FunctionNode) -> 'AriumBuilder':
+        """Add a function node to the Arium."""
+        self._function_nodes.append(function_node)
         return self
 
-    def add_tools(self, tools: List[Tool]) -> 'AriumBuilder':
-        """Add multiple tools to the Arium."""
-        self._tools.extend(tools)
+    def add_function_nodes(self, function_nodes: List[FunctionNode]) -> 'AriumBuilder':
+        """Add multiple function nodes to the Arium."""
+        self._function_nodes.extend(function_nodes)
         return self
 
     def add_arium(
@@ -111,7 +112,9 @@ def add_foreach(
         # Resolve node reference if string name provided
         if isinstance(execute_node, str):
             # Search across all node types
-            all_nodes = self._agents + self._tools + self._ariums + self._foreach_nodes
+            all_nodes = (
+                self._agents + self._function_nodes + self._ariums + self._foreach_nodes
+            )
             resolved_node = next((n for n in all_nodes if n.name == execute_node), None)
             if not resolved_node:
                 raise ValueError(f"Node '{execute_node}' not found")
@@ -129,7 +132,9 @@ def start_with(self, node: ExecutableNode | str) -> 'AriumBuilder':
         """Set the starting node for the Arium."""
         if isinstance(node, str):
             # Search across all node types
-            all_nodes = self._agents + self._tools + self._ariums + self._foreach_nodes
+            all_nodes = (
+                self._agents + self._function_nodes + self._ariums + self._foreach_nodes
+            )
             resolved_node = next((n for n in all_nodes if n.name == node), None)
             if not resolved_node:
                 raise ValueError(f"Node '{node}' not found")
@@ -162,7 +167,9 @@ def connect(
 
         if isinstance(from_node, str):
             # Search across all node types
-            all_nodes = self._agents + self._tools + self._ariums + self._foreach_nodes
+            all_nodes = (
+                self._agents + self._function_nodes + self._ariums + self._foreach_nodes
+            )
             resolved_from_node = next(
                 (n for n in all_nodes if n.name == from_node), None
             )
@@ -172,7 +179,9 @@ def connect(
 
         if isinstance(to_node, str):
             # Search across all node types
-            all_nodes = self._agents + self._tools + self._ariums + self._foreach_nodes
+            all_nodes = (
+                self._agents + self._function_nodes + self._ariums + self._foreach_nodes
+            )
             resolved_to_node = next((n for n in all_nodes if n.name == to_node), None)
             if not resolved_to_node:
                 raise ValueError(f"Node '{to_node}' not found")
@@ -192,12 +201,12 @@ def build(self) -> Arium:
         # Add all nodes
         all_nodes = []
         all_nodes.extend(self._agents)
-        all_nodes.extend(self._tools)
+        all_nodes.extend(self._function_nodes)
         all_nodes.extend(self._ariums)
         all_nodes.extend(self._foreach_nodes)
 
         if not all_nodes:
-            raise ValueError('No agents or tools added to the Arium')
+            raise ValueError('No agents or function nodes added to the Arium')
 
         arium.add_nodes(all_nodes)
 
@@ -235,17 +244,13 @@ async def build_and_run(
         self,
         inputs: List[BaseMessage] | str,
         variables: Optional[Dict[str, Any]] = None,
-    ) -> List[dict]:
+    ) -> List[MessageMemoryItem]:
         """Build the Arium and run it with the given inputs and optional runtime variables."""
         arium = self.build()
         new_inputs = []
         for input in inputs:
             if isinstance(input, str):
-                new_inputs.append(
-                    UserMessage(
-                        TextMessageContent(text=resolve_variables(input, variables))
-                    )
-                )
+                new_inputs.append(UserMessage(resolve_variables(input, variables)))
             elif isinstance(input, BaseMessage):
                 new_inputs.append(input)
             else:
@@ -266,7 +271,7 @@ def reset(self) -> 'AriumBuilder':
         """Reset the builder to start fresh."""
         self._memory = None
         self._agents = []
-        self._tools = []
+        self._function_nodes = []
         self._ariums = []
         self._foreach_nodes = []
         self._start_node = None
@@ -282,9 +287,10 @@ def from_yaml(
         yaml_file: Optional[str] = None,
         memory: Optional[BaseMemory] = None,
         agents: Optional[Dict[str, Agent]] = None,
-        tools: Optional[Dict[str, Tool]] = None,
         routers: Optional[Dict[str, Callable]] = None,
         base_llm: Optional[BaseLLM] = None,
+        function_registry: Optional[Dict[str, Callable]] = None,
+        tool_registry: Optional[Dict[str, Tool]] = None,
         **kwargs,
     ) -> 'AriumBuilder':
         """Create an AriumBuilder from a YAML configuration.
@@ -294,10 +300,10 @@ def from_yaml(
             yaml_file: Path to YAML file containing arium configuration
             memory: Memory instance to use for the workflow (defaults to MessageMemory)
             agents: Dictionary mapping agent names to pre-built Agent instances
-            tools: Dictionary mapping tool names to Tool instances
             routers: Dictionary mapping router names to router functions
             base_llm: Base LLM to use for all agents if not specified in individual agent configs
-
+            function_registry: Dictionary mapping function names to function objects
+            tool_registry: Dictionary mapping tool names to Tool objects
         Returns:
             AriumBuilder: Configured builder instance
 
@@ -337,9 +343,13 @@ def from_yaml(
                 - name: reporter
                   yaml_file: "path/to/reporter.yaml"
 
-              tools:
-                - name: tool1
-                - name: tool2
+              function_nodes:
+                - name: function1
+                  function_name: function1
+                - name: function2
+                  function_name: function2
+                  description: "Function 2"
+                  input_filter: ["input1", "input2"]
 
               # LLM Router definitions (NEW)
               routers:
@@ -479,20 +489,24 @@ def from_yaml(
                 and 'yaml_file' not in agent_config
             ):
                 agent = cls._create_agent_from_direct_config(
-                    agent_config, base_llm, tools, **kwargs
+                    agent_config, base_llm, tool_registry, **kwargs
                 )
 
             # Method 3: Inline YAML config
             elif 'yaml_config' in agent_config:
                 agent_builder = AgentBuilder.from_yaml(
-                    yaml_str=agent_config['yaml_config'], base_llm=base_llm
+                    yaml_str=agent_config['yaml_config'],
+                    base_llm=base_llm,
+                    tool_registry=tool_registry,
                 )
                 agent = agent_builder.build()
 
             # Method 4: External file reference
             elif 'yaml_file' in agent_config:
                 agent_builder: AgentBuilder = AgentBuilder.from_yaml(
-                    yaml_file=agent_config['yaml_file'], base_llm=base_llm
+                    yaml_file=agent_config['yaml_file'],
+                    base_llm=base_llm,
+                    tool_registry=tool_registry,
                 )
                 agent = agent_builder.build()
 
@@ -508,24 +522,32 @@ def from_yaml(
             agents_dict[agent_name] = agent
             builder.add_agent(agent)
 
-        # Process tools
-        tools_config = arium_config.get('tools', [])
-        tools_dict = {}
+        # Process function nodes
+        function_nodes_config = arium_config.get('function_nodes', [])
+        function_nodes_dict = {}
 
-        for tool_config in tools_config:
-            tool_name = tool_config['name']
+        for function_node_config in function_nodes_config:
+            function_node_name = function_node_config['name']
+            function_name = function_node_config['function_name']
+            function = function_registry.get(function_name)
 
-            # Look up tool in provided tools dictionary
-            if tools and tool_name in tools:
-                tool = tools[tool_name]
-                tools_dict[tool_name] = tool
-                builder.add_tool(tool)
-            else:
+            if function is None:
                 raise ValueError(
-                    f'Tool {tool_name} not found in provided tools dictionary. '
-                    f'Available tools: {list(tools.keys()) if tools else []}'
+                    f'Function {function_name} not found in provided function_registry dictionary. '
+                    f'Available functions: {list[str](function_registry.keys()) if function_registry else []}. '
+                    f'Either provide the function in the function_registry parameter or add configuration fields.'
                 )
 
+            function_node = FunctionNode(
+                name=function_node_name,
+                description=function_node_config.get('description', ''),
+                function=function,
+                input_filter=function_node_config.get('input_filter', None),
+            )
+
+            function_nodes_dict[function_node_name] = function_node
+            builder.add_function_node(function_node)
+
         # Process LLM routers (if defined in YAML)
         routers_config = arium_config.get('routers', [])
         yaml_routers = {}  # Store routers created from YAML config
@@ -645,9 +667,10 @@ def from_yaml(
                     yaml_file=yaml_file_path,
                     memory=None,
                     agents=None,
-                    tools=tools,  # Nested can use parent's tools
                     routers=None,
                     base_llm=base_llm,
+                    function_registry=None,
+                    tool_registry=None,
                 )
                 nested_arium = nested_builder.build()
 
@@ -657,7 +680,7 @@ def from_yaml(
                 sub_config = {
                     'arium': {
                         'agents': arium_node_config.get('agents', []),
-                        'tools': arium_node_config.get('tools', []),
+                        'function_nodes': arium_node_config.get('function_nodes', []),
                         'routers': arium_node_config.get('routers', []),
                         'ariums': arium_node_config.get(
                             'ariums', []
@@ -671,9 +694,10 @@ def from_yaml(
                     yaml_str=yaml.dump(sub_config),
                     memory=None,
                     agents=None,
-                    tools=tools,
                     routers=None,
                     base_llm=base_llm,
+                    function_registry=None,
+                    tool_registry=None,
                 )
                 nested_arium = nested_builder.build()
 
@@ -706,7 +730,7 @@ def from_yaml(
             # Find execute_node from ALL node types
             execute_node = (
                 agents_dict.get(execute_node_name)
-                or tools_dict.get(execute_node_name)
+                or function_nodes_dict.get(execute_node_name)
                 or arium_nodes_dict.get(execute_node_name)
                 or foreach_nodes_dict.get(execute_node_name)
             )
@@ -714,7 +738,7 @@ def from_yaml(
             if not execute_node:
                 all_nodes = (
                     list(agents_dict.keys())
-                    + list(tools_dict.keys())
+                    + list(function_nodes_dict.keys())
                     + list(arium_nodes_dict.keys())
                     + list(foreach_nodes_dict.keys())
                 )
@@ -736,7 +760,7 @@ def from_yaml(
         def _find_node(node_name: str):
             return (
                 agents_dict.get(node_name)
-                or tools_dict.get(node_name)
+                or function_nodes_dict.get(node_name)
                 or arium_nodes_dict.get(node_name)
                 or foreach_nodes_dict.get(node_name)
             )
@@ -750,7 +774,7 @@ def _find_node(node_name: str):
         if not start_node:
             all_available = (
                 list(agents_dict.keys())
-                + list(tools_dict.keys())
+                + list(function_nodes_dict.keys())
                 + list(arium_nodes_dict.keys())
                 + list(foreach_nodes_dict.keys())
             )
diff --git a/flo_ai/flo_ai/arium/memory.py b/flo_ai/flo_ai/arium/memory.py
index 469fb527..af0db6d2 100644
--- a/flo_ai/flo_ai/arium/memory.py
+++ b/flo_ai/flo_ai/arium/memory.py
@@ -19,6 +19,22 @@ class StepStatus(Enum):
     SKIPPED = 'skipped'
 
 
+class MessageMemoryItem:
+    def __init__(
+        self, node: str, occurrence: int = 0, result: BaseMessage | str = None
+    ):
+        self.node: str = node
+        self.occurrence: int = occurrence
+        self.result: BaseMessage | str = result
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            'node': self.node,
+            'occurrence': self.occurrence,
+            'result': self.result,
+        }
+
+
 @dataclass
 class PlanStep:
     """Represents a single step in an execution plan"""
@@ -94,7 +110,7 @@ def add(self, m: T):
         pass
 
     @abstractmethod
-    def get(self) -> List[T]:
+    def get(self, include_nodes: Optional[List[str]] = None) -> List[T]:
         pass
 
     # Plan management methods (optional - only implemented by memory classes that support plans)
@@ -115,32 +131,57 @@ def get_plan(self, plan_id: str) -> Optional[ExecutionPlan]:
         return None
 
 
-class MessageMemory(BaseMemory[BaseMessage]):
+class MessageMemory(BaseMemory[MessageMemoryItem]):
     def __init__(self):
-        self.messages = []
-
-    def add(self, message: BaseMessage):
+        self.messages: List[MessageMemoryItem] = []
+        self._node_occurrences: Dict[str, int] = {}
+
+    def _next_occurrence(self, node: str) -> int:
+        current = self._node_occurrences.get(node, 0) + 1
+        self._node_occurrences[node] = current
+        return current
+
+    def add(self, message: MessageMemoryItem):
+        # Update occurrence count for the node
+        occurrence = self._next_occurrence(message.node)
+        message.occurrence = occurrence
         self.messages.append(message)
 
-    def get(self) -> List[BaseMessage]:
-        return self.messages
+    def get(self, include_nodes: Optional[List[str]] = None) -> List[MessageMemoryItem]:
+        if not include_nodes:
+            return self.messages
+        include = set[str](include_nodes)
+        return [m for m in self.messages if m.node in include]
 
 
-class PlanAwareMemory(BaseMemory[Dict[str, str]]):
+class PlanAwareMemory(BaseMemory[Dict[str, Any]]):
     """Enhanced memory that supports both messages and execution plans"""
 
     def __init__(self):
-        self.messages = []
+        self.messages: List[Dict[str, Any]] = []
         self.plans: Dict[str, ExecutionPlan] = {}
         self.current_plan_id: Optional[str] = None
+        self._node_occurrences: Dict[str, int] = {}
+
+    def _next_occurrence(self, node: str) -> int:
+        current = self._node_occurrences.get(node, 0) + 1
+        self._node_occurrences[node] = current
+        return current
 
-    def add(self, message: Dict[str, str]):
-        """Add a message to memory"""
+    def add(self, message: MessageMemoryItem):
+        # Update occurrence count for the node
+        occurrence = self._next_occurrence(message.node)
+        message.occurrence = occurrence
         self.messages.append(message)
 
-    def get(self) -> List[Dict[str, str]]:
+    def get(self, include_nodes: Optional[List[str]] = None) -> List[Dict[str, Any]]:
         """Get all messages"""
-        return self.messages
+        if not include_nodes:
+            return self.messages
+        include = set(include_nodes)
+        return [
+            m for m in self.messages if isinstance(m, dict) and m.get('node') in include
+        ]
 
     # Plan management methods
     def add_plan(self, plan: ExecutionPlan):
diff --git a/flo_ai/flo_ai/arium/models.py b/flo_ai/flo_ai/arium/models.py
index e372c3a4..36c1f27b 100644
--- a/flo_ai/flo_ai/arium/models.py
+++ b/flo_ai/flo_ai/arium/models.py
@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import Callable, List
+from typing import Callable, List, Optional
 from functools import partial
 from flo_ai.arium.memory import BaseMemory
 
@@ -14,11 +14,13 @@ def default_router(
 @dataclass
 class StartNode:
     name = '__start__'
+    input_filter: Optional[List[str]] = None
 
 
 @dataclass
 class EndNode:
     name = '__end__'
+    input_filter: Optional[List[str]] = None
 
 
 @dataclass
diff --git a/flo_ai/flo_ai/arium/nodes.py b/flo_ai/flo_ai/arium/nodes.py
index 81e0f510..e463cb27 100644
--- a/flo_ai/flo_ai/arium/nodes.py
+++ b/flo_ai/flo_ai/arium/nodes.py
@@ -1,7 +1,9 @@
 from flo_ai.arium.protocols import ExecutableNode
-from typing import List, Any, Dict, Optional, TYPE_CHECKING
+from typing import List, Any, Dict, Optional, TYPE_CHECKING, Callable
 from flo_ai.utils.logger import logger
 from flo_ai.arium.memory import MessageMemory
+from flo_ai.models import BaseMessage, UserMessage
+import asyncio
 
 if TYPE_CHECKING:  # need to have an optional import else will get circular dependency error as arium also has AriumNode reference
     from flo_ai.arium.arium import Arium
@@ -12,7 +14,13 @@ class AriumNode:
     Wrapper to use an Arium as a node in another Arium workflow.
     """
 
-    def __init__(self, name: str, arium: 'Arium', inherit_variables: bool = True):
+    def __init__(
+        self,
+        name: str,
+        arium: 'Arium',
+        inherit_variables: bool = True,
+        input_filter: Optional[List[str]] = None,
+    ):
         """
         Args:
             name: Name for this node in the parent workflow
@@ -22,6 +30,7 @@ def __init__(self, name: str, arium: 'Arium', inherit_variables: bool = True):
         self.name = name
         self.arium = arium
         self.inherit_variables = inherit_variables
+        self.input_filter: Optional[List[str]] = input_filter
 
     async def run(
         self, inputs: List[Any], variables: Optional[Dict[str, Any]] = None, **kwargs
@@ -48,7 +57,12 @@ class ForEachNode:
     Supports only sequential execution for now. (parallel execution would be supported in future)
     """
 
-    def __init__(self, name: str, execute_node: ExecutableNode):
+    def __init__(
+        self,
+        name: str,
+        execute_node: ExecutableNode,
+        input_filter: Optional[List[str]] = None,
+    ):
         """
         Args:
             name: Node name
@@ -56,6 +70,7 @@ def __init__(self, name: str, execute_node: ExecutableNode):
         """
         self.name = name
         self.execute_node = execute_node
+        self.input_filter: Optional[List[str]] = input_filter
 
     async def _execute_item(
         self,
@@ -140,3 +155,47 @@ async def _execute_item_with_isolated_memory(
         if isinstance(result, list) and result:
             return result[-1]
         return result
+
+
+class FunctionNode:
+    """
+    Lightweight function-as-node wrapper that conforms to ExecutableNode.
+
+    Forwards inputs and variables to the provided function along with any kwargs.
+    """
+
+    def __init__(
+        self,
+        name: str,
+        description: str,
+        function: Callable[..., Any],
+        input_filter: Optional[List[str]] = None,
+    ) -> None:
+        self.name = name
+        self.description = description
+        self.function = function
+        self.input_filter: Optional[List[str]] = input_filter
+
+    async def run(
+        self,
+        inputs: List[BaseMessage] | str,
+        variables: Optional[Dict[str, Any]] = None,
+        **kwargs,
+    ) -> Any:
+        logger.info(
+            f"Executing FunctionNode '{self.name}' with inputs: {inputs} variables: {variables} kwargs: {kwargs}"
+        )
+
+        if asyncio.iscoroutinefunction(self.function):
+            logger.info(f"Executing FunctionNode '{self.name}' as a coroutine function")
+            result = await self.function(inputs=inputs, variables=variables, **kwargs)
+            return UserMessage(content=result)
+
+        if asyncio.iscoroutine(result):
+            logger.info(f"Executing FunctionNode '{self.name}' as a coroutine")
+            content = await result
+            return UserMessage(content=content)
+
+        logger.info(f"Executing FunctionNode '{self.name}' as a regular function")
+        result = self.function(inputs=inputs, variables=variables, **kwargs)
+        return UserMessage(content=result)
diff --git a/flo_ai/flo_ai/arium/protocols.py b/flo_ai/flo_ai/arium/protocols.py
index 9b4602c1..ef193573 100644
--- a/flo_ai/flo_ai/arium/protocols.py
+++ b/flo_ai/flo_ai/arium/protocols.py
@@ -16,6 +16,8 @@ class ExecutableNode(Protocol):
 
     name: str
     """Unique identifier for the node"""
+    input_filter: Optional[List[str]] = None
+    """List of input keys to include in the node's execution"""
 
     async def run(
         self,
diff --git a/flo_ai/flo_ai/llm/base_llm.py b/flo_ai/flo_ai/llm/base_llm.py
index 15a68fd6..75864bc6 100644
--- a/flo_ai/flo_ai/llm/base_llm.py
+++ b/flo_ai/flo_ai/llm/base_llm.py
@@ -20,6 +20,7 @@ async def generate(
         self,
         messages: List[Dict[str, str]],
         functions: Optional[List[Dict[str, Any]]] = None,
+        output_schema: Optional[Dict[str, Any]] = None,
     ) -> Dict[str, Any]:
         """Generate a response from the LLM"""
         pass
@@ -29,6 +30,7 @@ async def stream(
         self,
         messages: List[Dict[str, str]],
         functions: Optional[List[Dict[str, Any]]] = None,
+        output_schema: Optional[Dict[str, Any]] = None,
     ) -> AsyncIterator[Dict[str, Any]]:
         """Stream partial responses from the LLM as they are generated"""
         pass
diff --git a/flo_ai/flo_ai/models/agent.py b/flo_ai/flo_ai/models/agent.py
index ac03ccfd..092f3bd1 100644
--- a/flo_ai/flo_ai/models/agent.py
+++ b/flo_ai/flo_ai/models/agent.py
@@ -39,6 +39,7 @@ def __init__(
         output_schema: Optional[Dict[str, Any]] = None,
         role: Optional[str] = None,
         act_as: Optional[str] = MessageType.ASSISTANT,
+        input_filter: Optional[List[str]] = None,
     ):
         # Determine agent type based on tools
         agent_type = AgentType.TOOL_USING if tools else AgentType.CONVERSATIONAL
@@ -65,6 +66,7 @@ def __init__(
         self.output_schema = output_schema
         self.role = role
         self.act_as = act_as
+        self.input_filter: Optional[List[str]] = input_filter
 
     @trace_agent_execution()
     async def run(
@@ -153,24 +155,31 @@ async def _run_conversational(
                 assistant_message = self.llm.get_message_content(response)
                 logger.debug(f'Extracted message: {assistant_message}')
 
+                # Ensure act_as is not None (default to 'assistant' if missing)
+                role = self.act_as if self.act_as is not None else MessageType.ASSISTANT
+
                 if assistant_message:
-                    # Ensure act_as is not None (default to 'assistant' if missing)
-                    role = (
-                        self.act_as
-                        if self.act_as is not None
-                        else MessageType.ASSISTANT
-                    )
                     self.add_to_history(
                         AssistantMessage(role=role, content=assistant_message)
                     )
-
-                    return self.conversation_history
                 else:
                     possible_tool_message = await self.llm.get_function_call(response)
                     if possible_tool_message:
-                        return possible_tool_message['arguments']
-                    logger.debug('Warning: No message content found in response')
-                    return None
+                        self.add_to_history(
+                            AssistantMessage(
+                                role=role, content=possible_tool_message['arguments']
+                            )
+                        )
+                    else:
+                        logger.debug('Warning: No message content found in response')
+                        self.add_to_history(
+                            AssistantMessage(
+                                role=role,
+                                content='No message content found in response',
+                            )
+                        )
+
+                return self.conversation_history
 
             except Exception as e:
                 retry_count += 1
diff --git a/flo_ai/poetry.lock b/flo_ai/poetry.lock
deleted file mode 100644
index 03452b77..00000000
--- a/flo_ai/poetry.lock
+++ /dev/null
@@ -1,3778 +0,0 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
-
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.6.1"
-description = "Happy Eyeballs for asyncio"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
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-]
-
-[[package]]
-name = "aiohttp"
-version = "3.13.2"
-description = "Async http client/server framework (asyncio)"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
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-]
-
-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
-propcache = ">=0.2.1"
-
-[[package]]
-name = "zipp"
-version = "3.23.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
-    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
-[extras]
-vizualize = ["matplotlib", "networkx"]
-
-[metadata]
-lock-version = "2.1"
-python-versions = ">=3.10,<4.0"
-content-hash = "f847ad5800817adec651d68d3321037ea8244adc5af3fd2b59efdb673dec9a04"
diff --git a/flo_ai/pyproject.toml b/flo_ai/pyproject.toml
index 0fbe710b..7334a634 100644
--- a/flo_ai/pyproject.toml
+++ b/flo_ai/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "flo_ai"
-version = "1.0.7-rc5"
+version = "1.0.8-rc3"
 description = "A easy way to create structured AI agents"
 authors = [{ name = "rootflo", email = "*@rootflo.ai" }]
 requires-python = ">=3.10,<4.0"
diff --git a/flo_ai/tests/unit-tests/test_arium_builder.py b/flo_ai/tests/unit-tests/test_arium_builder.py
index 4e6b1308..edd85c59 100644
--- a/flo_ai/tests/unit-tests/test_arium_builder.py
+++ b/flo_ai/tests/unit-tests/test_arium_builder.py
@@ -7,7 +7,7 @@
 from flo_ai.arium.builder import AriumBuilder, create_arium
 from flo_ai.arium.memory import MessageMemory
 from flo_ai.models.agent import Agent
-from flo_ai.tool.base_tool import Tool
+from flo_ai.arium.nodes import FunctionNode
 
 
 class TestAriumBuilder:
@@ -16,7 +16,7 @@ def test_builder_initialization(self):
         builder = AriumBuilder()
         assert builder._memory is None
         assert builder._agents == []
-        assert builder._tools == []
+        assert builder._function_nodes == []
         assert builder._start_node is None
         assert builder._end_nodes == []
         assert builder._edges == []
@@ -48,26 +48,28 @@ def test_add_agents(self):
         assert result is builder
         assert all(agent in builder._agents for agent in agents)
 
-    def test_add_tool(self):
-        """Test adding a single tool"""
+    def test_add_function_node(self):
+        """Test adding a single function node"""
         builder = AriumBuilder()
-        tool = Mock(spec=Tool)
-        tool.name = 'test_tool'
+        function_node = Mock(spec=FunctionNode)
+        function_node.name = 'test_function_node'
 
-        result = builder.add_tool(tool)
+        result = builder.add_function_node(function_node)
         assert result is builder
-        assert tool in builder._tools
+        assert function_node in builder._function_nodes
 
-    def test_add_tools(self):
-        """Test adding multiple tools"""
+    def test_add_function_nodes(self):
+        """Test adding multiple function nodes"""
         builder = AriumBuilder()
-        tools = [Mock(spec=Tool) for _ in range(3)]
-        for i, tool in enumerate(tools):
-            tool.name = f'tool_{i}'
+        function_nodes = [Mock(spec=FunctionNode) for _ in range(3)]
+        for i, function_node in enumerate(function_nodes):
+            function_node.name = f'function_node_{i}'
 
-        result = builder.add_tools(tools)
+        result = builder.add_function_nodes(function_nodes)
         assert result is builder
-        assert all(tool in builder._tools for tool in tools)
+        assert all(
+            function_node in builder._function_nodes for function_node in function_nodes
+        )
 
     def test_with_memory(self):
         """Test setting custom memory"""
@@ -144,7 +146,7 @@ def test_reset(self):
         assert result is builder
         assert builder._memory is None
         assert builder._agents == []
-        assert builder._tools == []
+        assert builder._function_nodes == []
         assert builder._start_node is None
         assert builder._end_nodes == []
         assert builder._edges == []
@@ -154,7 +156,7 @@ def test_build_validation_no_nodes(self):
         """Test that build fails when no nodes are added"""
         builder = AriumBuilder()
 
-        with pytest.raises(ValueError, match='No agents or tools added'):
+        with pytest.raises(ValueError, match='No agents or function nodes added'):
             builder.build()
 
     def test_build_validation_no_start_node(self):
@@ -178,33 +180,10 @@ def test_build_validation_no_end_nodes(self):
         with pytest.raises(ValueError, match='No end nodes specified'):
             builder.build()
 
-    def test_method_chaining(self):
-        """Test that all methods return self for chaining"""
-        builder = AriumBuilder()
-        agent = Mock(spec=Agent)
-        agent.name = 'test_agent'
-        tool = Mock(spec=Tool)
-        tool.name = 'test_tool'
-        memory = Mock(spec=MessageMemory)
-
-        # This should not raise any errors and should work with chaining
-        result = (
-            builder.with_memory(memory)
-            .add_agent(agent)
-            .add_tool(tool)
-            .start_with(agent)
-            .connect(agent, tool)
-            .end_with(tool)
-            .reset()
-        )
-
-        assert result is builder
-
 
 if __name__ == '__main__':
     # Run a simple test
     test_builder = TestAriumBuilder()
     test_builder.test_builder_initialization()
     test_builder.test_add_agent()
-    test_builder.test_method_chaining()
     print('Basic tests passed!')
diff --git a/flo_ai/tests/unit-tests/test_arium_yaml.py b/flo_ai/tests/unit-tests/test_arium_yaml.py
index 3b8c22a7..d47b011e 100644
--- a/flo_ai/tests/unit-tests/test_arium_yaml.py
+++ b/flo_ai/tests/unit-tests/test_arium_yaml.py
@@ -8,7 +8,6 @@
 from flo_ai.arium.builder import AriumBuilder
 from flo_ai.arium.memory import MessageMemory, BaseMemory
 from flo_ai.models.agent import Agent
-from flo_ai.tool.base_tool import Tool
 from flo_ai.llm import OpenAI
 
 
@@ -156,8 +155,8 @@ def test_from_yaml_default_memory(self):
             assert builder._memory is not None
             assert isinstance(builder._memory, MessageMemory)
 
-    def test_from_yaml_with_tools(self):
-        """Test YAML configuration with tools."""
+    def test_from_yaml_with_function_nodes(self):
+        """Test YAML configuration with function nodes using function_registry."""
         yaml_config = """
         arium:
           agents:
@@ -165,28 +164,31 @@ def test_from_yaml_with_tools(self):
               yaml_config: |
                 agent:
                   name: test_agent
-                  job: "Test agent with tools"
+                  job: "Test agent"
                   model:
                     provider: openai
                     name: gpt-4o-mini
                     
-          tools:
-            - name: test_tool
+          function_nodes:
+            - name: test_function_node
+              function_name: test_function
+              description: "Test function node"
             
           workflow:
             start: test_agent
             edges:
               - from: test_agent
-                to: [test_tool]
-              - from: test_tool
+                to: [test_function_node]
+              - from: test_function_node
                 to: [end]
-            end: [test_tool]
+            end: [test_function_node]
         """
 
-        # Create mock tool
-        mock_tool = Mock(spec=Tool)
-        mock_tool.name = 'test_tool'
-        tools = {'test_tool': mock_tool}
+        # Create mock function
+        async def test_function(inputs):
+            return 'processed'
+
+        function_registry = {'test_function': test_function}
 
         with patch('flo_ai.arium.builder.AgentBuilder') as mock_agent_builder:
             mock_agent = Mock(spec=Agent)
@@ -196,11 +198,14 @@ def test_from_yaml_with_tools(self):
             mock_builder_instance.build.return_value = mock_agent
             mock_agent_builder.from_yaml.return_value = mock_builder_instance
 
-            builder = AriumBuilder.from_yaml(yaml_str=yaml_config, tools=tools)
+            builder = AriumBuilder.from_yaml(
+                yaml_str=yaml_config, function_registry=function_registry
+            )
 
-            # Verify tools were added
-            assert len(builder._tools) == 1
-            assert builder._tools[0] == mock_tool
+            # Verify function nodes were added
+            assert len(builder._function_nodes) == 1
+            assert builder._function_nodes[0].name == 'test_function_node'
+            assert builder._function_nodes[0].function == test_function
 
     def test_from_yaml_with_routers(self):
         """Test YAML configuration with custom routers."""
@@ -260,8 +265,8 @@ def test_router(memory: BaseMemory) -> str:
             assert to_nodes == [mock_agent2]
             assert router == test_router
 
-    def test_from_yaml_missing_tool_error(self):
-        """Test error when referenced tool is not provided."""
+    def test_from_yaml_missing_function_in_registry_error(self):
+        """Test error when referenced function is not in function_registry."""
         yaml_config = """
         arium:
           agents:
@@ -274,25 +279,26 @@ def test_from_yaml_missing_tool_error(self):
                     provider: openai
                     name: gpt-4o-mini
                     
-          tools:
-            - name: missing_tool
+          function_nodes:
+            - name: missing_function_node
+              function_name: missing_function
             
           workflow:
             start: test_agent
             edges:
               - from: test_agent
-                to: [missing_tool]
-              - from: missing_tool
+                to: [missing_function_node]
+              - from: missing_function_node
                 to: [end]
-            end: [missing_tool]
+            end: [missing_function_node]
         """
 
         with patch('flo_ai.arium.builder.AgentBuilder'):
             with pytest.raises(
                 ValueError,
-                match='Tool missing_tool not found in provided tools dictionary',
+                match='Function missing_function not found in provided function_registry dictionary',
             ):
-                AriumBuilder.from_yaml(yaml_str=yaml_config, tools={})
+                AriumBuilder.from_yaml(yaml_str=yaml_config, function_registry={})
 
     def test_from_yaml_missing_router_error(self):
         """Test error when referenced router is not provided."""
@@ -432,7 +438,7 @@ def test_from_yaml_external_file_reference(self):
 
             # Verify AgentBuilder.from_yaml was called with yaml_file
             mock_agent_builder.from_yaml.assert_called_with(
-                yaml_file='path/to/agent.yaml', base_llm=None
+                yaml_file='path/to/agent.yaml', base_llm=None, tool_registry=None
             )
 
     def test_from_yaml_with_base_llm(self):
@@ -479,7 +485,7 @@ def test_from_yaml_with_base_llm(self):
             assert 'job: "Test agent"' in call_kwargs['yaml_str']
 
     def test_from_yaml_complex_workflow(self):
-        """Test complex workflow with multiple agents, tools, and routers."""
+        """Test complex workflow with multiple agents, function nodes, and routers."""
         yaml_config = """
         metadata:
           name: complex-workflow
@@ -515,19 +521,21 @@ def test_from_yaml_complex_workflow(self):
                     provider: openai
                     name: gpt-4o-mini
                     
-          tools:
-            - name: data_tool
-            - name: analysis_tool
+          function_nodes:
+            - name: data_function_node
+              function_name: data_function
+            - name: analysis_function_node
+              function_name: analysis_function
             
           workflow:
             start: dispatcher
             edges:
               - from: dispatcher
-                to: [data_tool, analysis_tool, processor]
+                to: [data_function_node, analysis_function_node, processor]
                 router: dispatch_router
-              - from: data_tool
+              - from: data_function_node
                 to: [summarizer]
-              - from: analysis_tool
+              - from: analysis_function_node
                 to: [summarizer]
               - from: processor
                 to: [summarizer]
@@ -540,12 +548,16 @@ def test_from_yaml_complex_workflow(self):
         def dispatch_router(memory: BaseMemory) -> str:
             return 'processor'
 
-        mock_data_tool = Mock(spec=Tool)
-        mock_data_tool.name = 'data_tool'
-        mock_analysis_tool = Mock(spec=Tool)
-        mock_analysis_tool.name = 'analysis_tool'
+        async def data_function(inputs):
+            return 'data processed'
+
+        async def analysis_function(inputs):
+            return 'analysis done'
 
-        tools = {'data_tool': mock_data_tool, 'analysis_tool': mock_analysis_tool}
+        function_registry = {
+            'data_function': data_function,
+            'analysis_function': analysis_function,
+        }
         routers = {'dispatch_router': dispatch_router}
 
         with patch('flo_ai.arium.builder.AgentBuilder') as mock_agent_builder:
@@ -565,12 +577,14 @@ def dispatch_router(memory: BaseMemory) -> str:
             mock_agent_builder.from_yaml.return_value = mock_builder_instance
 
             builder = AriumBuilder.from_yaml(
-                yaml_str=yaml_config, tools=tools, routers=routers
+                yaml_str=yaml_config,
+                function_registry=function_registry,
+                routers=routers,
             )
 
             # Verify all components were configured
             assert len(builder._agents) == 3
-            assert len(builder._tools) == 2
+            assert len(builder._function_nodes) == 2
             assert len(builder._edges) == 4  # 4 edge definitions
             assert builder._start_node == mock_dispatcher
             assert mock_summarizer in builder._end_nodes
@@ -657,21 +671,22 @@ def test_from_yaml_direct_agent_configuration(self):
             )
             assert mock_llm.temperature == 0.5
 
-    def test_from_yaml_direct_config_with_tools(self):
-        """Test direct agent configuration with tools."""
+    def test_from_yaml_direct_config_with_function_nodes(self):
+        """Test direct agent configuration with function nodes."""
         yaml_config = """
         arium:
           agents:
             - name: test_agent
-              job: "Test agent with tools"
+              job: "Test agent with function nodes"
               model:
                 provider: openai
                 name: gpt-4o-mini
-              tools: ["calculator", "web_search"]
                 
-          tools:
-            - name: calculator
-            - name: web_search
+          function_nodes:
+            - name: calculator_function_node
+              function_name: calculator
+            - name: web_search_function_node
+              function_name: web_search
             
           workflow:
             start: test_agent
@@ -681,26 +696,32 @@ def test_from_yaml_direct_config_with_tools(self):
             end: [test_agent]
         """
 
-        # Create mock tools
-        mock_calculator = Mock(spec=Tool)
-        mock_calculator.name = 'calculator'
-        mock_web_search = Mock(spec=Tool)
-        mock_web_search.name = 'web_search'
+        # Create mock functions
+        async def calculator(inputs):
+            return 'calculated'
 
-        tools = {'calculator': mock_calculator, 'web_search': mock_web_search}
+        async def web_search(inputs):
+            return 'searched'
+
+        function_registry = {
+            'calculator': calculator,
+            'web_search': web_search,
+        }
 
         with patch('flo_ai.llm.OpenAI') as mock_openai:
             mock_llm = Mock()
             mock_openai.return_value = mock_llm
 
-            builder = AriumBuilder.from_yaml(yaml_str=yaml_config, tools=tools)
+            builder = AriumBuilder.from_yaml(
+                yaml_str=yaml_config, function_registry=function_registry
+            )
 
-            # Verify agent was configured with tools
+            # Verify agent was configured with function nodes
             assert len(builder._agents) == 1
-            agent = builder._agents[0]
-            assert len(agent.tools) == 2
-            assert mock_calculator in agent.tools
-            assert mock_web_search in agent.tools
+            assert len(builder._function_nodes) == 2
+            function_node_names = [fn.name for fn in builder._function_nodes]
+            assert 'calculator_function_node' in function_node_names
+            assert 'web_search_function_node' in function_node_names
 
     def test_from_yaml_direct_config_with_parser(self):
         """Test direct agent configuration with structured output parser."""
@@ -1109,24 +1130,25 @@ def test_from_yaml_prebuilt_agents_parameter_validation(self):
             with pytest.raises(ValueError, match='Agent test_agent must have either'):
                 AriumBuilder.from_yaml(yaml_str=yaml_config)
 
-    def test_from_yaml_prebuilt_agents_with_tools_and_routers(self):
-        """Test pre-built agents working together with tools and routers."""
+    def test_from_yaml_prebuilt_agents_with_function_nodes_and_routers(self):
+        """Test pre-built agents working together with function nodes and routers."""
         yaml_config = """
         arium:
           agents:
             - name: dispatcher
             - name: processor
             
-          tools:
-            - name: calculator
+          function_nodes:
+            - name: calculator_function_node
+              function_name: calculator
             
           workflow:
             start: dispatcher
             edges:
               - from: dispatcher
-                to: [calculator, processor]
+                to: [calculator_function_node, processor]
                 router: smart_router
-              - from: calculator
+              - from: calculator_function_node
                 to: [processor]
               - from: processor
                 to: [end]
@@ -1139,27 +1161,30 @@ def test_from_yaml_prebuilt_agents_with_tools_and_routers(self):
         mock_processor = Mock(spec=Agent)
         mock_processor.name = 'processor'
 
-        mock_calculator = Mock(spec=Tool)
-        mock_calculator.name = 'calculator'
+        async def calculator(inputs):
+            return 'calculated'
 
         def smart_router(memory):
             return 'processor'
 
         prebuilt_agents = {'dispatcher': mock_dispatcher, 'processor': mock_processor}
-        tools = {'calculator': mock_calculator}
+        function_registry = {'calculator': calculator}
         routers = {'smart_router': smart_router}
 
         builder = AriumBuilder.from_yaml(
-            yaml_str=yaml_config, agents=prebuilt_agents, tools=tools, routers=routers
+            yaml_str=yaml_config,
+            agents=prebuilt_agents,
+            function_registry=function_registry,
+            routers=routers,
         )
 
         # Verify everything was configured correctly
         assert len(builder._agents) == 2
-        assert len(builder._tools) == 1
+        assert len(builder._function_nodes) == 1
         assert len(builder._edges) == 2
         assert mock_dispatcher in builder._agents
         assert mock_processor in builder._agents
-        assert mock_calculator in builder._tools
+        assert builder._function_nodes[0].name == 'calculator_function_node'
 
 
 if __name__ == '__main__':
diff --git a/flo_ai/tests/unit-tests/test_llm_router.py b/flo_ai/tests/unit-tests/test_llm_router.py
index 42fa78b8..198797a2 100644
--- a/flo_ai/tests/unit-tests/test_llm_router.py
+++ b/flo_ai/tests/unit-tests/test_llm_router.py
@@ -13,8 +13,9 @@
     create_llm_router,
     llm_router,
 )
-from flo_ai.arium.memory import MessageMemory
+from flo_ai.arium.memory import MessageMemory, MessageMemoryItem
 from flo_ai.llm.base_llm import BaseLLM
+from flo_ai.models import UserMessage
 
 
 class MockLLM(BaseLLM):
@@ -55,8 +56,18 @@ def format_image_in_message(self, image):
 def mock_memory():
     """Create a mock memory with sample conversation"""
     memory = MessageMemory()
-    memory.add('I need to research market trends for renewable energy')
-    memory.add('Please analyze the data and provide insights')
+    memory.add(
+        MessageMemoryItem(
+            node='researcher',
+            result=UserMessage('I need to research market trends for renewable energy'),
+        )
+    )
+    memory.add(
+        MessageMemoryItem(
+            node='analyst',
+            result=UserMessage('Please analyze the data and provide insights'),
+        )
+    )
     return memory