- Decreased the maximum tool calls per section from 8 to 5.
- Reduced the maximum iterations in the ReACT loop from 8 to 5, streamlining the report generation process.
- Reduced maximum tool calls per chat from 5 to 2 for improved efficiency.
- Simplified system prompt to focus on concise responses and report content.
- Implemented report content retrieval with length limitation to prevent context overflow.
- Adjusted tool call execution to limit to one call per iteration, enhancing clarity in responses.
- Updated user message prompts to encourage concise answers based on retrieved data.
- Increased the maximum tool calls per section from 4 to 8, enhancing the agent's capabilities.
- Raised the maximum reflection rounds from 2 to 3 to allow for deeper analysis.
- Adjusted the maximum tool calls per chat from 3 to 5 for improved interaction.
- Expanded the maximum agents for interviews from 5 to 20, facilitating more comprehensive data gathering.
- Increased the maximum iterations for ReACT loops from 5 to 8 and from 3 to 5 in different contexts, optimizing the report generation process.
- Updated the `to_text` method in the `PanoramaResult` class to provide complete outputs for current facts, historical facts, and involved entities, improving data visibility.
- Modified the `to_text` method in the `AgentInterview` class to display the full agent bio without truncation.
- Adjusted the `ZepToolsService` class to retrieve all related entity details and facts without limiting the output, ensuring comprehensive data representation.
- Renamed log_section_complete to log_section_content to better reflect its purpose, and added is_subsection parameter for improved logging of subsection content.
- Introduced log_section_full_complete method to log the completion of entire sections, including all subsections, enhancing tracking of report generation status.
- Adjusted maximum tool call limits for sections and chats to optimize performance during report generation.
- Updated system prompts and user prompts in the ReportAgent class to clarify the report's focus on future predictions rather than current analysis.
- Enhanced the Step3Simulation and Step4Report components for improved user experience, including UI updates and better handling of report generation states.
- Updated the AgentInterview class to display the full agent bio, truncating only if it exceeds 1000 characters for better readability.
- Enhanced the Step4Report component to include structured display for tool results, allowing users to toggle between raw and structured views for various tools, improving user experience and clarity.
- Introduced new components for parsing and displaying results from different tools, including InsightForge, PanoramaSearch, InterviewAgents, and QuickSearch, providing a comprehensive view of the data.
- Introduced a unique report ID generation mechanism to enhance tracking and management of reports.
- Implemented detailed logging for the report generation process, including agent actions, planning stages, and tool calls, improving traceability and debugging.
- Added new API endpoints for retrieving agent and console logs, allowing users to access detailed execution logs and console outputs during report generation.
- Enhanced the frontend GraphPanel component with a notification for users when simulations finish, improving user experience and feedback.
- Introduced strict formatting guidelines for chapter content, prohibiting the use of Markdown headers and emphasizing the use of bold text for section titles.
- Implemented a new method to save chapters along with their subsections into a single file, streamlining the report structure.
- Added content cleaning functionality to remove duplicate titles and ensure proper formatting before saving.
- Enhanced the report assembly process to include post-processing for title management and improved readability.
- Updated SimulationRunner to include additional files for deletion, specifically Twitter and Reddit simulation databases, and environment status files.
- Refactored Step3Simulation component to streamline the status display, removing unnecessary conditions and improving the user interface for simulation phases.
- Introduced a reset function to clear all simulation states before starting a new simulation, ensuring a clean environment for each run.
- Introduced a new JSON data file containing detailed actions and quotes related to the 武大声誉修复基金 initiative.
- Updated the OasisProfileGenerator to ensure compatibility with the new JSON format, emphasizing the inclusion of user_id.
- Modified simulation management to support independent tracking of Twitter and Reddit platforms, including completion status and round information.
- Enhanced the SimulationRunner to accurately reflect the completion state of each platform and added checks for overall simulation completion.
- Improved the GraphPanel and Step3Simulation components to provide real-time updates and better user feedback during simulations.
- Updated the simulation API to include a new 'force' parameter, allowing users to restart simulations while cleaning up previous logs.
- Enhanced the simulation status detail retrieval to include all actions and platform-specific actions for better monitoring.
- Introduced a new SimulationRunView component to manage the simulation process, providing a clear interface for users to start and monitor simulations.
- Improved the Step3Simulation component with detailed logging and progress indicators, ensuring users receive real-time updates during the simulation.
- Added new API endpoints for retrieving simulation posts and actions, enhancing the overall functionality and user engagement.
- Updated the `get_graph_data` method in `graph_builder.py` to include additional attributes such as creation time, validity periods, and episodes for nodes and edges, improving the richness of the graph data.
- Modified the detail panel in `Process.vue` to present new attributes, including properties, episodes, and timestamps, enhancing user interaction and data visibility.
- Improved styling for the detail panel to better organize and present the comprehensive information for selected nodes and edges.
- Updated the "interview_agents" tool in the Report Agent to utilize the OASIS interview API for real-time agent interviews across Twitter and Reddit, providing authentic responses.
- Improved the ZepToolsService to streamline agent selection, question generation, and interview processing, ensuring a more efficient and structured interview workflow.
- Enhanced documentation to reflect the new interview capabilities, including updated usage instructions and important operational notes regarding the OASIS environment.
- Removed deprecated methods related to simulated interviews, focusing on real API interactions for improved accuracy and reliability.
- Introduced a new "interview_agents" tool in the Report Agent to facilitate in-depth interviews with simulation agents, allowing for multi-perspective insights.
- Implemented the InterviewResult and AgentInterview data classes to structure and manage interview data effectively.
- Enhanced ZepToolsService with methods for conducting interviews, including agent selection and question generation based on user requirements.
- Updated documentation to reflect the new interview capabilities and usage instructions for the Report Agent and Zep tools.
- Introduced new core search tools in the Report Agent: InsightForge for deep insights, PanoramaSearch for comprehensive views, and QuickSearch for rapid queries.
- Updated the Report Agent to prioritize tool usage for data retrieval, ensuring all report content is based on simulation results rather than internal knowledge.
- Enhanced the ZepToolsService with methods for InsightForge and PanoramaSearch, allowing for multi-dimensional queries and historical data retrieval.
- Improved documentation to reflect the new functionalities and usage guidelines for the Report Agent and Zep tools.
- Introduced the Report Agent module to facilitate the automatic generation of simulation analysis reports using LangChain and Zep, following the ReACT model.
- Added functionality for report outline planning, segmented content generation, and user interaction through a dialogue interface.
- Implemented new API endpoints for report generation, status checking, and retrieval, enhancing the overall reporting capabilities.
- Updated README.md to include detailed instructions on the new report generation features and API usage.
- Enhanced the project structure to accommodate the new report management functionalities, including report storage and retrieval mechanisms.
- Added signal handling to gracefully manage shutdown events across simulation scripts, ensuring proper cleanup of resources.
- Introduced a global shutdown event to allow simulations to respond to termination signals, improving robustness.
- Suppressed warnings related to multiprocessing resource tracking to avoid unnecessary log clutter during execution.
- Updated cleanup logic in `SimulationRunner` and `ZepGraphMemoryManager` to prevent redundant calls and ensure efficient resource management.
- Enhanced logging to provide clearer feedback during shutdown processes, improving traceability.
- Added context enrichment for actions in `fetch_new_actions_from_db`, providing complete information for posts, comments, and user interactions.
- Introduced a new `_enrich_action_context` function to supplement action arguments with relevant details such as post content, author names, and comment information.
- Updated the `ZepGraphMemoryUpdater` to batch send activities by platform, improving efficiency in processing and logging.
- Enhanced logging to include detailed statistics on sent activities and skipped actions, ensuring better traceability and monitoring of the activity flow.
- Introduced a prefix to optimize interview prompts, ensuring agents respond directly with text without invoking tools.
- Updated the simulation API to utilize the optimized prompts for individual and batch interviews.
- Modified the `get_interview_history` function to allow for flexible platform querying, returning results from both Reddit and Twitter when no platform is specified.
- Enhanced README.md to include new prompt optimization details and updated API usage examples for clarity.
- Added a new Interview module to facilitate interactions with agents post-simulation, allowing for single and batch interviews.
- Introduced IPC communication mechanism for command and response handling between the Flask backend and simulation scripts.
- Updated README.md to include detailed instructions on the new Interview functionality, including API endpoints and usage examples.
- Enhanced simulation scripts to support waiting for commands after completion, improving user control over the simulation environment.
- Implemented error handling and logging for interview processes, ensuring robust operation and traceability.
- Removed content truncation logic from the AgentActivity class, allowing full content to be logged for posts, comments, and quotes.
- Updated the `fetch_new_actions_from_db` function to retain complete content in action arguments, enhancing data accuracy.
- Adjusted simulation scripts to ensure that full content is sent during action creation, improving the representation of agent activities.
- Changed the activity logging format to remove simulation prefixes, ensuring clearer natural language descriptions.
- Updated the `ZepGraphMemoryUpdater` to send activities individually, enhancing the accuracy of entity and relationship extraction.
- Adjusted the README.md to reflect these changes in activity processing and Zep integration, providing clearer instructions for users.
- Added a new optional parameter `enable_graph_memory_update` to the simulation API, allowing real-time updates of agent activities to the Zep knowledge graph.
- Introduced `ZepGraphMemoryUpdater` and `ZepGraphMemoryManager` classes to handle the background processing of activity updates, ensuring efficient API calls and data management.
- Updated the README.md to include detailed instructions on the new graph memory update functionality and its configuration.
- Enhanced the simulation runner to manage the lifecycle of the graph memory updater, including starting and stopping the updater based on user configuration.
- Improved logging to track the status of graph memory updates, providing better insights into the simulation process.
- Added support for a `max_rounds` parameter in simulation API, allowing users to limit the number of simulation rounds, improving control over simulation duration.
- Updated README.md to reflect the new `max_rounds` parameter and its usage in simulation requests.
- Enhanced error handling for `max_rounds` input validation to ensure it is a positive integer.
- Modified simulation runner and related scripts to incorporate `max_rounds` functionality, ensuring consistent application across Twitter and Reddit simulations.
- Improved logging to indicate when the number of rounds is truncated due to the `max_rounds` setting, enhancing traceability during simulation execution.
- Added a new endpoint to retrieve real-time agent profiles during simulation, allowing users to monitor progress without going through the SimulationManager.
- Enhanced the profile generation process to support real-time saving of generated profiles to specified file formats (JSON for Reddit, CSV for Twitter).
- Updated the simulation configuration generator to assign appropriate agents to initial posts based on their types, improving the relevance of generated content.
- Improved error handling and logging for better traceability during profile generation and retrieval processes.
- Registered a cleanup function for simulation processes to ensure proper termination on server shutdown.
- Improved logging during application startup to confirm the registration of the cleanup function.
- Updated simulation preparation checks to clarify the conditions for considering a simulation ready, enhancing error handling and user feedback.
- Added detailed logging for simulation status changes, improving traceability during the simulation lifecycle.
- Introduced new files for simulation configuration and profile data, supporting enhanced testing and visualization capabilities.
- Updated simulation preparation checks to exclude script files from the required files list, improving clarity on file management.
- Implemented a robust retry mechanism for Zep API calls in the ZepEntityReader service, enhancing reliability.
- Enhanced logging in simulation scripts to provide clearer insights into the simulation process and errors.
- Updated simulation runner to manage stdout and stderr logs more effectively, ensuring better error tracking.
- Improved profile generation to standardize gender fields and ensure all required fields are populated correctly.
- Updated README.md to include detailed descriptions of new features, including Zep mixed search functionality and detailed persona generation for individual and group entities.
- Implemented a robust mechanism for checking simulation preparation status to avoid redundant profile generation.
- Added support for parallel profile generation, improving efficiency in creating OASIS Agent Profiles.
- Enhanced the simulation configuration generator to adopt a stepwise approach, ensuring better handling of complex configurations.
- Introduced error handling and retry mechanisms for LLM calls, improving the reliability of profile generation.
- Updated simulation management to support new API parameters for controlling profile generation behavior.
- Updated README.md to include new simulation scripts and configuration details for OASIS, including API retry mechanisms and environment variable settings.
- Added simulation management and configuration generation services to streamline the simulation process across Twitter and Reddit platforms.
- Introduced new API routes for simulation-related operations, including entity retrieval and simulation status management.
- Implemented a robust retry mechanism for external API calls to improve system stability.
- Enhanced task management model to include detailed progress tracking.
- Added logging capabilities for action tracking during simulations.
- Included new scripts for running parallel simulations and testing profile formats.
- Updated `run.py` to conditionally print startup information only in the reloader process to avoid duplicate logs in debug mode.
- Modified `__init__.py` to log startup and completion messages based on the reloader process condition.
- Added warnings suppression in `graph_builder.py` for Pydantic v2 regarding Field usage.
- Revised `ontology_generator.py` to enforce strict design guidelines for entity types and relationships, ensuring compliance with new requirements.
- Improved logging behavior in `logger.py` to prevent log propagation to the root logger, avoiding duplicate outputs.
