Changelog

Version history for Zorora.

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)

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)

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)

Download

Download v2.5-prod