[FEATURE] Enhanced Error Handling and User Feedback for AI Agent Interactions

[natabn]

Is your feature request related to a problem? Please describe.
When working with LightAgent's AI capabilities, users currently experience:

• Generic error messages during API failures or model limitations
• No clear guidance when agent responses exceed token limits
• Limited visibility into processing status during complex operations

Proposed Solution
Implement a comprehensive error handling system with:

1. Structured Error Codes (e.g., LA-401 for authentication errors)
2. Fallback Mechanisms for failed model responses
3. User Feedback Options:
   • Interactive clarification prompts
   • Progress indicators for long operations
   • Option to save partial results

Example Implementation

class LightAgentErrorHandler:
    ERROR_CODES = {
        "LA-429": "Rate limit exceeded - please wait 30 seconds",
        "LA-413": "Response too large - try refining your query"
    }
    
    def handle_error(self, code):
        return self.ERROR_CODES.get(code, "Unexpected error occurred")

Alternative Approaches Considered

• Using third-party error tracking services (would increase dependencies)
• Simple text-based errors (less user-friendly)

Additional Context
This enhancement would complement the existing documentation improvements suggested in #42 and align with UX patterns from Anthropic's Claude API.

Acceptance Criteria

• Clear error taxonomy established
• User-facing messages with troubleshooting guidance
• System maintains current response speed (±5%)
• Documentation updates included

Technical Notes
Potential integration points:

• response_handler.py (primary error routing)
• user_interface/api_endpoints.py (feedback delivery)

[wxai-space]

Thank you very much for your suggestion, we will consider adding defined error codes and messages and integrating them into the existing processing flow.