March 2026 — 666ghj/MiroFish: Key documentation improvements and stability fixes focusing on discoverability, data quality, and API reliability.

February 2026 monthly summary for 666ghj/MiroFish: Delivered architectural refinements, UI updates, and reliability improvements that enhance automated report generation, readability, and developer productivity. Key work includes refactoring Step4Report, expanding tool usage in content generation, and strengthening tool call governance, along with markdown rendering, language consistency, and comprehensive documentation improvements. The month focused on increasing reliability, speed, and scalability of report generation workflows while improving developer experience and documentation clarity.

January 2026 performance overview for BettaFish and MiroFish: delivered high-value features, stabilized core workflows, and strengthened deployment readiness, driving user engagement and reliability. Key features delivered included BettaFish keyword optimization improvements (refined prompts and search term suggestions for better relevance), API changes and documentation updates reflecting the Anspire AI Search API, and a comprehensive HistoryDatabase UI/UX overhaul in MiroFish (debounced card expansion, dynamic container height, improved loading states, enhanced card display with round progress/time, and a new project detail modal). Also added SimulationAPI function to retrieve the latest report ID and achieved Docker deployment readiness with Dockerfile, docker-compose, and deployment docs. Major bugs fixed encompassed GraphPanel drag behavior to prevent restart on click; non-UTF-8 text file handling with automatic encoding detection; environment variable overrides from .env; resilience for None LLM responses with enforced fallback; and a Home.vue version text accuracy fix. Overall, these efforts improve user engagement, data reliability, and deployment predictability, supporting faster time-to-value and scalable operations. Technologies/skills demonstrated include Python and TypeScript/JavaScript, React UI refinements, Docker-based deployment, environment/config management, LLM integration resilience, and comprehensive documentation practices.

December 2025 monthly summary for 666ghj/MiroFish and 666ghj/BettaFish. This period focused on delivering scalable simulation capabilities, improving reliability, and enabling advanced AI workflows. Key outcomes include backend and simulation enhancements, improved observability, real-time profiling, dual LLM support, and BettaFish AI search capabilities, driving faster decision-making and better developer experience.

November 2025 performance snapshot for BettaFish and MiroFish. Delivered substantial business value through thorough documentation, reliability enhancements, UX improvements, and foundational toolchains for knowledge-graph generation. BettaFish advanced deployment readiness and user experience with extensive docs and a new Front-end Settings UI, plus a final report download feature, while tightening reliability with an increased LLM timeout and targeted bug fixes. MiroFish established a solid baseline and launched the txt2graph tool core/API pipeline (text extraction, ontology generation, graph construction) with improved startup logging and a clearer project creation flow. Overall, these efforts reduce onboarding friction, improve system stability, enable faster reporting capabilities, and lay a scalable foundation for next-phase features across both repos.

October 2025 (BettaFish) delivered architectural modernization and robustness improvements that enable faster, more reliable feature delivery and easier onboarding. Key work centered on modularizing core systems, standardizing LLM integration with pluggable options, and expanding documentation and deployment readiness to reduce operational risk and support scale.

September 2025 monthly summary for 666ghj/BettaFish. The quarter focused on strengthening documentation, improving collaboration, and preparing deployment readiness. Delivered core features, improved maintainability, and stabilized the platform for production use. Highlights include framework diagram upload, extensive README updates with usage guidance and legal/disclaimer language, added deployment guidance, and documentation for the Forum Moderator LLM module. Architectural refinements included removing the asynchronous forum host strategy and simplifying forum host flow, along with improvements to forum communication between agents. Minor spelling fixes across the codebase were completed to improve consistency.

August 2025 Highlights for BettaFish: - Delivered a broad foundation for scalable model experimentation and upcoming releases, including fine-tuning groundwork for multiple models and foundational components prepared for a refactor. - Expanded analytics and NLP capabilities: added MediaCrawler for media indexing; tuned and expanded sentiment analysis with a BERT-Chinese base and a new multilingual sentiment module; introduced a base model class with training scripts for Naive Bayes, SVM, XGBoost, LSTM, BERT, and related prediction improvements. - Advanced topic modeling and classification: completed an LLM-based topic recognition model, integrated BERTopic, added topic identification datasets, and built training/prediction scripts for topic classification with Top-K support and interactive model selection. - System and governance enhancements: updated licensing and contributor guidelines; refreshed README and code structure docs; improved Git hygiene with .gitignore/.gitattributes, licensing notices, and config handling. - Web and data tooling improvements: significant web app optimizations and bug fixes, system crawler components, and progress toward final reporting and agent-oriented capabilities (MindSpider, private DB agent, Insight Engine, final report agent).

May 2025 monthly summary for 666ghj/BettaFish: Delivered seed-independent model training capability to enable varied experimentation in ML pipelines and prototyped GPT-2-based microblog sentiment recognition. Documented changes and prepared groundwork for integration and evaluation, with a clear commit trail for traceability and future onboarding of these features into production workflows. No major bug fixes were required this month; focus was on feature delivery and knowledge transfer.

April 2025 monthly summary for 666ghj/BettaFish: Delivered three core feature suites focused on security, reliability, and reproducibility. Implemented a Security and Maintainability Refactor to modularize error handling, database pooling, and security middleware, with HTTPS enforcement and improved input sanitization. Modernized timezone handling by migrating to Python's zoneinfo and configuring the scheduler to UTC, removing the pytz dependency. Strengthened ML experiment reproducibility and stability by seeding random, NumPy, and PyTorch across pipelines and fixing seed usage for train_test_split and LogisticRegression, with increased iterations to ensure convergence. Reduced dependency drift and aligned cross-version compatibility to lower deployment risk. These efforts improved security posture, reduced nondeterminism in model training, and enabled more reliable deployments and faster, safer onboarding.

Concise March 2025 monthly summary for 666ghj/BettaFish focusing on feature delivery, bug fixes, and business impact. Highlights include the Visual Workflow Orchestrator with AI-powered Crawler, multi-account parallel crawling, workflow editor enhancements (undo/redo, auto-save, export/import), bilingual visualization localization, new spider/workflow visualization modules, and an LSTM-based public opinion prediction model. Bug fix: workflow editor script loading path issue fixed for deployment environments.