Translate all Chinese comments, docstrings, log messages, error messages,
and LLM prompt text to English across the entire backend codebase.
Locale translation files (locales/*.json) are unchanged.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- 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.
- 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.
- 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 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.
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