Refactor answer_message function to clean up final response handling by removing redundant print statement and trimming the response content for better formatting.
Refactor answer_message function to prepend a SystemMessage for context, handle tool calls more robustly, and ensure final responses are generated without tool invocation. This enhances the overall response accuracy and flow.
Enhance answer_message function to include tool execution and result integration. The function now processes tool calls from the AI response, executes them, and appends the results before generating the final response.
Refine answer_message function in agent.py to improve response generation. Updated prompt structure to guide the model in providing concise answers without thought processes, ensuring clarity in responses.
Enhance agent functionality by integrating message handling and graph structure. Added read_message and answer_message functions to process user input and generate responses using the chat model. Updated AgentState to support both HumanMessage and AIMessage types.