Summary of Changes

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This pull request focuses on enhancing the Python xAI plugin's message handling for tool interactions and standardizing the xai-hello sample application. The changes ensure correct serialization of tool arguments, align sample tool definitions and flows with a consistent pattern, and demonstrate more sophisticated AI-driven tool usage, ultimately improving the robustness and clarity of the xAI Python integration.

Highlights

• xAI Model Integration Refinements: The _to_xai_messages function in models.py has been updated to correctly handle tool calls and responses for xAI models. This includes safe serialization of tool arguments using json.dumps with a fallback to str(), and explicitly excluding tool response messages from the conversation history as xAI models do not support them.
• Standardization of Sample Tools: The xai-hello sample's CalculatorInput model and the calculate tool have been refactored. CalculatorInput now uses num1, num2, and operation fields, and the calculate tool's logic is streamlined with improved error handling for unknown operators and division by zero, aligning with a standardized input format.
• AI-driven Tool Orchestration in Samples: The weather_flow function in the xai-hello sample now leverages ai.generate with a prompt and specified tools. This demonstrates a more advanced AI interaction pattern where the model intelligently interprets the request and orchestrates tool calls, rather than direct function invocation.
• Simplified Calculator Flow: The calculator_flow in the sample now directly accepts a CalculatorInput object, removing the need for manual string parsing. This improves type safety and simplifies the flow's input handling.

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