Ensure tool execution regardless of long-term memory usage

[sambhavnoobcoder]

Fix Tool Execution in Agent Class When Long-Term Memory is Used

Problem Description

In the current implementation of the Agent class, there's a critical issue where tools are not being executed when long-term memory is utilized. This occurs because the tool execution logic is placed within a conditional block that only runs when long-term memory is not used. As a result, agents with long-term memory capabilities are unable to leverage their tools, significantly limiting their functionality.

Proposed Solution

We propose to restructure the run method in the Agent class to ensure that tool execution occurs regardless of whether long-term memory is used or not. This change will maintain the agent's ability to query long-term memory while also guaranteeing that tools are checked and executed for every response generated by the language model.

Changes Made

1. Restructured Control Flow:

   • Moved the tool execution check and call outside of the long-term memory conditional block.
   • This ensures that tool execution is considered for every response, independent of memory usage.

2. Unified Response Handling:

   • After generating a response using the language model, we now consistently check for tool execution.
   • This unification ensures that all agent instances, regardless of their memory configuration, have access to tool functionality.

3. Removed Conditional Limitation:

   • Eliminated the implicit condition that was preventing tool execution when long-term memory was active.
   • This removal allows for more flexible and powerful agent behaviors, combining memory and tool capabilities.

Logic of the Changes

The new structure follows this logic:

1. If long-term memory exists, query it.
2. Generate a response using the language model.
3. Check if tools are available and execute them if necessary.
4. Continue with the rest of the processing (logging, adding to memory, etc.)

This approach ensures that each step in the agent's cognitive process (memory retrieval, response generation, and tool usage) is given the opportunity to contribute to the final output.

Removals and Their Rationale

We removed the exclusive nature of the long-term memory and tool execution blocks. The previous implementation implied that these were mutually exclusive operations, which is not the desired behavior. By removing this limitation, we allow for a more integrated and powerful agent capability.

Expected Results

After implementing these changes, we expect the following outcomes:

1. Agents with long-term memory will now be able to use tools, enhancing their problem-solving capabilities.
2. Consistent behavior across all agent configurations, simplifying usage and expectations for developers.
3. More flexible and powerful agents that can leverage both their memory and tool capabilities in tandem.
4. Improved reliability in complex scenarios where both historical context and specific tool actions are required.

Issue Resolution

This PR directly addresses the reported issue (#607 ) where tools could not be executed if long-term memory was present. By restructuring the run method, we ensure that tool execution is always considered, resolving the core problem and enhancing the overall functionality of the Agent class.

---

📚 Documentation preview 📚: https://swarms--611.org.readthedocs.build/en/611/