Changelog

Version history for Zorora.

Version 3.0.0 - Data Analysis Engine

Release Date: February 2026

Major Features

Data Analysis Engine:

• /load <path> command — CSV ingest with automatic profiling (time series detection, ODS-E format recognition, null/gap analysis, descriptive statistics)
• /analyze <code> command — Sandboxed pandas/numpy/matplotlib code execution with blocked dangerous imports and smart result type detection
• Session store — Persistent DataFrame state across analysis commands
• Plot capture — Automatic detection of matplotlib saves with file path return

Nehanda Local:

• Offline FAISS-based vector search over local policy document corpus
• Sentence-transformers embeddings with numpy cosine-similarity fallback

Load Dataset Workflow:

• Three-stage pipeline: ingest/detect → profile → session assembly
• Automatic timestamp parsing and ODS-E format detection
• File replacement (loading a new file replaces the previous session)

Architecture Changes

• New tools/data_analysis/ module (profiler, execute, session, nehanda_local)
• New workflows/load_dataset.py workflow
• Router integration for automatic data analysis intent detection
• Tool registry integration (execute_analysis, nehanda_query)

Testing

• 179 new tests across 5 test suites
• End-to-end integration tests: load CSV → analyze with pandas/numpy/matplotlib
• Demo data validation: tested against real 17,569-row Solarman inverter dataset

Cleanup

• Removed legacy tool_registry.py backward-compat shim
• Removed tool_registry_legacy.py (3,300-line backup)
• Removed config.example.py

Dependencies Added

• pandas>=2.0.0, numpy>=1.24.0, matplotlib>=3.7.0, scipy>=1.10.0

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Version 2.5.0 - ONA Platform Integration & Enhanced Editing

Release Date: January 2025

Major Features

ONA Platform Integration:

• Remote ML model observation commands (/ml-*)
• Model lifecycle management - list challengers, compare models, promote/rollback
• Audit logging for all model changes
• Dual authentication support (Bearer token and AWS IAM)

Enhanced /code File Editing:

• Auto-detection of existing files in prompts
• Direct edit workflow (read → OLD_CODE/NEW_CODE → apply)
• Retry loop with error context (up to 3 attempts)
• No planning phase for simple edits

Beautiful Progress Display:

• Hierarchical tool visualization with tree-style display
• Real-time progress during multi-step operations
• Per-tool execution timing
• Visual status indicators (checkmarks and spinners)

Boxed Input UI:

• prompt_toolkit integration for modern terminal input
• Visual input box with borders
• Improved cursor handling and feedback

New Capabilities

/deep Command:

• Terminal deep research with full feature parity to Web UI
• Academic + web + newsroom multi-source synthesis

Modular Tool Registry (Complete):

• 19 tools migrated to modular tools/ structure
• 5 categories: research, file_ops, shell, specialist, image
• Backward compatibility via legacy shim

Model-Agnostic Coding:

• use_codestral renamed to use_coding_agent
• Works with any configured coding model
• Unified specialist client factory

Improvements

• Line numbers by default in read_file output
• replace_all parameter for edit_file
• Better error messages with similar text suggestions
• SQLite threading fixes
• Read-before-edit enforcement

Breaking Changes

• use_codestral renamed to use_coding_agent (alias provided)
• Import from tools.registry instead of tool_registry (deprecation warning)

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Version 2.1.0 - Settings Modal & Multi-Provider Support

Release Date: Previous

Major Features:

• ✅ Web UI Settings Modal - Visual configuration interface
• ✅ Multi-provider endpoint support (HuggingFace, OpenAI, Anthropic)
• ✅ API key management for all providers (masked display, secure storage)
• ✅ Endpoint CRUD operations via Web UI (add/edit/delete)
• ✅ Vision and image_generation model configuration
• ✅ Config file backup before writes
• ✅ Automatic role reassignment on endpoint deletion

Configuration Improvements:

• Visual settings modal (no code editing required)
• Dropdown selection for models and endpoints
• Provider-specific endpoint forms (HF: URL+Model, OpenAI/Anthropic: Model+MaxTokens)
• Secure API key handling (masking, show/hide toggle)
• Config validation and error handling

API Enhancements:

• /api/settings/config - Read/write configuration
• /api/settings/models - List available models (all providers)
• /api/settings/endpoints - List endpoints (all providers)
• /api/settings/endpoint - Add/edit endpoint (provider-aware)
• /api/settings/endpoint/<key> - Delete endpoint (checks all providers)

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Version 2.0.0 - Deep Research Release

Release Date: Previous

Major Features:

• ✅ Deep research engine with 6-phase workflow (MVP)
• ✅ Modular tool registry (tools/research/, tools/registry.py)
• ✅ SQLite + JSON storage layer (engine/storage.py)
• ✅ Web UI with Flask (ui/web/app.py)
• ✅ Credibility scoring system
• ✅ Parallel source aggregation (academic + web + newsroom)
• ✅ Research synthesis with citations

Architecture Changes:

• Refactored tool registry into modular structure
• Created engine/ module for research engine
• Created workflows/deep_research/ for workflow components
• Added Flask-based Web UI

Breaking Changes:

• tool_registry.py is now a backward-compatibility shim
• Use from tools.registry import ... for new code
• Web UI requires Flask (added to requirements)

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Download

Download v3.0.0-prod

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See Also

• Getting Started - Installation and setup
• Guides - Usage guides
• API Reference - API documentation