Agent Configuration

You can leverage configuration files to control which components are used and how they behave. For example, you can add extra keys to the configuration to choose between different memory implementations (e.g., basic or semantic memory), enable advanced features like RAG, or adjust other settings dynamically.

1. Memory Type

   In your agent initialization (in agent.py), you can check for a key like memory_type. If it's set to "semantic", instantiate the SemanticMemory class instead of the basic Memory class. For example:

   from memory import Memory
   from semantic_memory import SemanticMemory
   
   memory_enabled = self.config.get("config", {}).get("memory", False)
   memory_type = self.config.get("config", {}).get("memory_type", "basic")
   if memory_enabled:
       if memory_type == "semantic":
           self.memory = SemanticMemory(max_items=10, enabled=True)
       else:
           self.memory = Memory(max_items=10, enabled=True)
   else:
       self.memory = Memory(max_items=10, enabled=False)

2. RAG Integration

   Similarly, if you include a flag like "rag_enabled": true in your config, your agent can then conditionally initialize and use the RAG module (rag.py) during query processing to augment responses.

   # Example of how to conditionally use RAG in the agent
   rag_enabled = self.config.get("config", {}).get("rag_enabled", False)
   if rag_enabled:
       from rag import RAG
       self.rag = RAG()
   else:
       self.rag = None
   
   # Later, during query processing
   if self.rag:
       context = self.rag.retrieve_relevant_context(query)
       # Add context to prompt

3. Tool and Other Settings

   You can also include additional keys in your configuration to enable or modify the behavior of tools, streaming responses, evaluation frameworks, etc.

   # Example of conditional tool loading based on config
   tool_list = self.config.get("config", {}).get("tools", [])
   for tool_name in tool_list:
       # Load each tool specified in the config

Using a configuration file in this way allows you to:

• Dynamically switch components: Choose between basic and advanced features without changing the core code.
• Easily experiment: Toggle new features on or off to test different system setups.
• Centralize control: Manage system behavior from a single config file, simplifying deployment and maintenance.