feat: Add example datasets and integrate them into the Gradio interface.

feat: Add file size check and warnings in handle_upload function to improve user experience with large datasets

docs: Update short description in README.md to specify CSV analysis, enhancing clarity on project capabilities.

chore: Update README.md to change tag from 'mcp-in-action-track-customer' to 'mcp-in-action-track-enterprise' for improved accuracy in project categorization.

fix: Correct formatting in README.md for improved readability of agent output descriptions, ensuring consistent presentation of features.

Update README.md

docs: Expand README to include comprehensive overview of MLOps Agent features, installation instructions, and user flow, enhancing clarity and accessibility for users.

refactor: Update data analysis report format in Gradio application to use bullet points for key insights, enhancing clarity and readability in user interactions.

refactor: Enhance system prompt in Gradio application to specify MLOps context, clarify user interaction guidelines, and improve response structure. Update instructions for handling user queries related to app capabilities and MLOps concepts.

refactor: Update data analysis and model performance sections in Gradio application to enhance clarity and structure. Introduce detailed data analysis report requirements, display model ID and endpoint URL, and adjust example usage guidelines for deployed models.

refactor: Introduce a new general system prompt in the Gradio application to provide clear guidelines for user interactions, emphasizing concise and friendly responses while maintaining context relevance. Update chat instructions to enhance user experience and clarity.

refactor: Expand system prompt in Gradio application to include detailed response structure and guidelines for user-facing outputs, enhancing clarity and professionalism. Update theme colors for improved visual consistency.

refactor: Simplify system prompt in Gradio application to focus on user-facing responses, ensuring clarity and professionalism while maintaining structured output guidelines. Update theme colors for visual consistency.

refactor: Revise system prompt in Gradio application to enforce strict output guidelines, ensuring concise Key Summary delivery while prohibiting unnecessary technical details, thereby enhancing user clarity and interaction.

refactor: Revise system prompt in Gradio application to emphasize concise, actionable summaries and structured output formatting, enhancing user interaction and clarity during data-related requests.

refactor: Revise system prompts and enhance output extraction in Gradio application to improve clarity, formatting, and user interaction during data operations, while streamlining the chat response process.

refactor: Update Gradio application theme to Default with blue and green hues for improved visual consistency and user experience.

refactor: Revise system prompt in Gradio application to include formatting rules for responses, enhance clarity in user instructions, and enable Markdown rendering in the chat interface for improved user experience.

refactor: Update file upload label in Gradio application for improved clarity and user experience, and remove unnecessary quiet mode parameter from the server configuration.

refactor: Enhance chat handling in Gradio application by implementing textbox interactivity during streaming phases, updating UI elements for improved user experience, and refining the application title for clarity.

refactor: Update Gradio application to enhance MLOps agent functionality with improved tool resolution, refined chat handling, and clearer user prompts. Streamlined file upload process and removed outdated todo list.

refactor: Update chat response pipeline in the Gradio application to implement a two-phase process for tool resolution and streaming final answers, enhance file upload handling, and improve user interface elements for better interaction.

refactor: Revise system prompt and enhance chat handling in the Gradio application by clarifying rules and workflow, improving file upload handling, and updating the chat response pipeline for better structure and clarity.

refactor: Simplify chat message handling in the Gradio application by consolidating user message updates and tool feedback processing, enhancing clarity in message history and improving the overall structure of the chat response pipeline.

refactor: Revamp Gradio MCP Connector to enhance performance and user experience by implementing a two-phase chat process with tool resolution and streaming responses, updating the system prompt for clarity, and improving file upload handling.

refactor: Remove debug print statements and temporary textbox from file upload handling in the Gradio application, streamlining the output structure and enhancing clarity in error messaging.

refactor: Improve file upload handling in the Gradio application by removing debug print statements, enhancing error handling during file copying, and updating the output structure to include a debug URL textbox for better traceability.

refactor: Enhance file upload handling and URL generation in the Gradio application by adding debug statements for better traceability, improving error handling during file copying, and ensuring consistent public URL formatting.

refactor: Update chat message structure to utilize dictionaries for user and assistant roles, enhancing clarity and consistency in message handling during streaming interactions in the Gradio application.

refactor: Refine chat message structure and history processing in the Gradio application to ensure consistent tuple formatting, enhance response management during streaming, and improve overall code clarity.

refactor: Streamline chat message handling and history formatting in the Gradio application to enhance user interaction and improve response management during streaming, while simplifying the overall code structure.

refactor: Enhance chat history management and internal processing in the Gradio application to improve streaming response handling and user interaction, including a new MCP connection test on startup for better reliability.

refactor: Update file URL generation in the Gradio application to utilize Gradio's internal format, improving consistency and clarity in file handling.

refactor: Update file upload handling and chat interface in the Gradio application to streamline user interaction, enhance real-time streaming capabilities, and improve overall functionality.

refactor: Simplify the launch process in the Gradio application by removing unnecessary signal handling and cleanup code for a cleaner and more efficient startup.

refactor: Clean up imports, improve code formatting, and enhance readability in the Gradio application for better maintainability.

refactor: Add signal handling for graceful shutdown, suppress deprecation warnings, and enhance streaming response handling in the Gradio application for improved user experience.

refactor: Implement file upload handling and integrate orchestrator functions for enhanced chat capabilities, including streaming support and improved user interaction in the Gradio application.

refactor: Introduce file_to_url function for improved file handling, update file URL generation logic, and enhance chat history management for better integration with the Gradio application.

refactor: Remove legacy files and consolidate functionality into a streamlined Gradio application with enhanced MCP client integration, improved file handling, and updated AI orchestration for better user experience.

refactor: Update AI Orchestrator to use GPT-5-mini, enhance file handling and analysis, and improve MCP client integration for better tool execution and error handling

Refactor: Remove orchestrator.py and test_all_tools.py; introduce ai_orchestrator.py, config.py, file_handler.py, and mcp_client.py for improved structure and functionality

refactor: Improve FastMCP client import logic and enhance error handling, streamline MCP_SERVER_URL, and format code for better readability.

refactor: Enhance tool handling in MCP client integration by improving response format handling, updating descriptions for clarity, and refining parameter mapping for web and non-web tools, while also updating the model to gpt-5-mini for better performance.

fix the error

added fastmcp

refactor: Enhance MCP client import logic in orchestrator to support multiple paths, improving compatibility and error handling for unavailable imports.

refactor: Remove MCP client from requirements.txt, streamlining project dependencies for better compatibility and maintenance.

refactor: Update model in chat stream functions from gpt-4o to gpt-5-mini, enhancing response capabilities and performance in AI interactions.

refactor: Convert chat stream functions to use async/await for improved performance and clarity, streamlining response handling in the chat interface.