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docs: scrub gemini_cli references from 12 docs (provider count 8->7)
Cleaned: docs/guide_ai_client.md, docs/guide_architecture.md, docs/guide_models.md, docs/guide_simulations.md, docs/guide_context_aggregation.md, docs/guide_tools.md, docs/Readme.md, conductor/tech-stack.md, conductor/product.md, conductor/product-guidelines.md, conductor/workflow.md, conductor/code_styleguides/error_handling.md. Provider list citations updated to 7 (gemini, anthropic, deepseek, minimax, qwen, grok, llama). guide_meta_boundary.md intentionally retained (its gemini_cli references are the meta-tooling GEMINI_CLI_HOOK_CONTEXT env var, NOT the provider; per spec GAP-A12).
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@@ -9,7 +9,7 @@ To serve as an expert-level utility for personal developer use on small projects
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For deep implementation details when planning or implementing tracks, consult `docs/` (last refreshed: 2026-06-02 via the comprehensive documentation refresh track):
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**Core architecture:**
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- **[docs/guide_architecture.md](../docs/guide_architecture.md):** Threading model, event system, AI client multi-provider (Gemini, Anthropic, DeepSeek, Gemini CLI, MiniMax), HITL mechanism, comms logging
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- **[docs/guide_architecture.md](../docs/guide_architecture.md):** Threading model, event system, AI client multi-provider (Gemini, Anthropic, DeepSeek, MiniMax), HITL mechanism, comms logging
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- **[docs/guide_meta_boundary.md](../docs/guide_meta_boundary.md):** The critical distinction between the Application's Strict-HITL environment and the Meta-Tooling environment used to build it
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- **[docs/guide_tools.md](../docs/guide_tools.md):** MCP Bridge, 45-tool inventory, Hook API, ApiHookClient, shell runner
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- **[docs/guide_mma.md](../docs/guide_mma.md):** 4-tier orchestration, DAG engine, worker lifecycle, persona application
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@@ -17,7 +17,7 @@ For deep implementation details when planning or implementing tracks, consult `d
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**Per-source-file references (NEW):**
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- **[docs/guide_gui_2.md](../docs/guide_gui_2.md):** `src/gui_2.py` (~437KB): App class lifecycle, ~90 module-level render functions, Multi-Viewport docks, panel registry, ImGuiScope context managers, hot reload support
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- **[docs/guide_ai_client.md](../docs/guide_ai_client.md):** `src/ai_client.py` (~166KB): multi-provider LLM singleton (8 providers: gemini, anthropic, gemini_cli, deepseek, minimax, qwen, grok, llama), async dispatch via `asyncio.gather`, threading.local source tier tagging, Anthropic ephemeral + Gemini explicit caching, Tier 4 QA error interception, inlined `VendorCapabilities` registry (moved from the deleted `src/vendor_capabilities.py`)
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- **[docs/guide_ai_client.md](../docs/guide_ai_client.md):** `src/ai_client.py` (~166KB): multi-provider LLM singleton (7 providers: gemini, anthropic, deepseek, minimax, qwen, grok, llama), async dispatch via `asyncio.gather`, threading.local source tier tagging, Anthropic ephemeral + Gemini explicit caching, Tier 4 QA error interception, inlined `VendorCapabilities` registry (moved from the deleted `src/vendor_capabilities.py`)
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- **[docs/guide_api_hooks.md](../docs/guide_api_hooks.md):** `src/api_hooks.py` + `src/api_hook_client.py` (~51KB + ~38KB): HookServer on `127.0.0.1:8999`, ApiHookClient wrapper, 8+ endpoints, Remote Confirmation Protocol via `/api/ask`
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- **[docs/guide_mcp_client.md](../docs/guide_mcp_client.md):** `src/mcp_client.py` (~92KB, 45 tools): 3-layer security (Allowlist → Validate → Resolve), all native tools (File I/O, Python AST, C/C++ AST, Analysis, Network, Runtime, Beads), ExternalMCPManager (Stdio + SSE), JSON-RPC 2.0 engine. Tool specs now live in `src/mcp_tool_specs.py` (typed `ToolSpec` dataclass + `_REGISTRY`); `mcp_client.py` re-exports `TOOL_NAMES` for backward compat.
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- **[docs/guide_app_controller.md](../docs/guide_app_controller.md):** `src/app_controller.py` (~240KB): headless orchestrator, AppState dataclass, all subsystem managers, `_predefined_callbacks`/`_gettable_fields` Hook API registries, SyncEventQueue, headless mode
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@@ -49,57 +49,57 @@ For deep implementation details when planning or implementing tracks, consult `d
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## Key Features
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- **Multi-Provider Integration:** Supports Gemini, Anthropic, DeepSeek, Gemini CLI (headless), MiniMax, Qwen, Grok, and Llama (Ollama) with seamless switching.
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- **Multi-Provider Integration:** Supports Gemini, Anthropic, DeepSeek, (headless), MiniMax, Qwen, Grok, and Llama (Ollama) with seamless switching.
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- **4-Tier Hierarchical Multi-Model Architecture:** Orchestrates an intelligent cascade of specialized models to isolate cognitive loads and minimize token burn.
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- **Tier 1 (Orchestrator):** Strategic product alignment, setup (`/conductor:setup`), and track initialization (`/conductor:newTrack`) using `gemini-3.1-pro-preview`.
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- **Tier 2 (Tech Lead):** Technical oversight and track execution (`/conductor:implement`) using `gemini-3-flash-preview`. Maintains persistent context throughout implementation.
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- **Tier 3 (Worker):** Surgical code implementation and TDD using `gemini-2.5-flash-lite`. Operates statelessly with tool access and dependency skeletons.
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- **Tier 4 (QA):** Error analysis and diagnostics using `gemini-2.5-flash-lite`. Operates statelessly with tool access.
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- **MMA Delegation Engine:** Route tasks, ensuring role-scoped context and detailed observability via timestamped sub-agent logs. Supports dynamic ticket creation and dependency resolution via an automated Dispatcher Loop.
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- **MMA Observability Dashboard:** A high-density control center within the GUI for monitoring and managing the 4-Tier architecture.
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- **Track Browser:** Real-time visualization of all implementation tracks with status indicators and progress bars. Includes a dedicated **Active Track Summary** featuring a color-coded progress bar, precise ticket status breakdown (Completed, In Progress, Blocked, Todo), and dynamic **ETA estimation** based on historical completion times.
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- **Visual Task DAG:** An interactive, node-based visualizer for the active track's task dependencies using `imgui-node-editor`. Features color-coded state tracking (Ready, Running, Blocked, Done), drag-and-drop dependency creation, and right-click deletion.
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- **Strategy Visualization:** Dedicated real-time output streams for Tier 1 (Strategic Planning) and Tier 2/3 (Execution) agents, allowing the user to follow the agent's reasoning chains alongside the task DAG.
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- **Agent-Focused Filtering:** Allows the user to focus the entire GUI (Session Hub, Discussion Hub, Comms) on a specific agent's activities and scoped context.
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- **Track-Scoped State Management:** Segregates discussion history and task progress into per-track state files. Supports **Project-Specific Conductor Directories**, defaulting to `./conductor` relative to each project's TOML file. Projects can define their own conductor path override in `manual_slop.toml` (`[conductor].dir`) via the Projects tab for isolated track management. This prevents global context pollution and ensures the Tech Lead session is isolated to the specific track's objective.
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**Native DAG Execution Engine:** Employs a Python-based Directed Acyclic Graph (DAG) engine to manage complex task dependencies. Supports automated topological sorting, robust cycle detection, and **transitive blocking propagation** (cascading `blocked` status to downstream dependents to prevent execution stalls).
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- **Tier 1 (Orchestrator):** Strategic product alignment, setup (`/conductor:setup`), and track initialization (`/conductor:newTrack`) using `gemini-3.1-pro-preview`.
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- **Tier 2 (Tech Lead):** Technical oversight and track execution (`/conductor:implement`) using `gemini-3-flash-preview`. Maintains persistent context throughout implementation.
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- **Tier 3 (Worker):** Surgical code implementation and TDD using `gemini-2.5-flash-lite`. Operates statelessly with tool access and dependency skeletons.
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- **Tier 4 (QA):** Error analysis and diagnostics using `gemini-2.5-flash-lite`. Operates statelessly with tool access.
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- **MMA Delegation Engine:** Route tasks, ensuring role-scoped context and detailed observability via timestamped sub-agent logs. Supports dynamic ticket creation and dependency resolution via an automated Dispatcher Loop.
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- **MMA Observability Dashboard:** A high-density control center within the GUI for monitoring and managing the 4-Tier architecture.
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- **Track Browser:** Real-time visualization of all implementation tracks with status indicators and progress bars. Includes a dedicated **Active Track Summary** featuring a color-coded progress bar, precise ticket status breakdown (Completed, In Progress, Blocked, Todo), and dynamic **ETA estimation** based on historical completion times.
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- **Visual Task DAG:** An interactive, node-based visualizer for the active track's task dependencies using `imgui-node-editor`. Features color-coded state tracking (Ready, Running, Blocked, Done), drag-and-drop dependency creation, and right-click deletion.
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- **Strategy Visualization:** Dedicated real-time output streams for Tier 1 (Strategic Planning) and Tier 2/3 (Execution) agents, allowing the user to follow the agent's reasoning chains alongside the task DAG.
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- **Agent-Focused Filtering:** Allows the user to focus the entire GUI (Session Hub, Discussion Hub, Comms) on a specific agent's activities and scoped context.
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- **Track-Scoped State Management:** Segregates discussion history and task progress into per-track state files. Supports **Project-Specific Conductor Directories**, defaulting to `./conductor` relative to each project's TOML file. Projects can define their own conductor path override in `manual_slop.toml` (`[conductor].dir`) via the Projects tab for isolated track management. This prevents global context pollution and ensures the Tech Lead session is isolated to the specific track's objective.
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**Native DAG Execution Engine:** Employs a Python-based Directed Acyclic Graph (DAG) engine to manage complex task dependencies. Supports automated topological sorting, robust cycle detection, and **transitive blocking propagation** (cascading `blocked` status to downstream dependents to prevent execution stalls).
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- **Programmable Execution State machine:** Governing the transition between "Auto-Queue" (autonomous worker spawning) and "Step Mode" (explicit manual approval for each task transition).
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- **Role-Scoped Documentation:** Automated mapping of foundational documents to specific tiers to prevent token bloat and maintain high-signal context.
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- **Tiered Context Scoping:** Employs optimized context subsets for each tier. Tiers 1 & 2 receive strategic documents and full history, while Tier 3/4 workers receive task-specific "Focus Files" and automated AST dependency skeletons.
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- **Worker Spawn Interceptor:** A mandatory security gate that intercepts every sub-agent launch. Provides a GUI modal allowing the user to review, modify, or reject the worker's prompt and file context before it is sent to the API.
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- **Programmable Execution State machine:** Governing the transition between "Auto-Queue" (autonomous worker spawning) and "Step Mode" (explicit manual approval for each task transition).
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- **Role-Scoped Documentation:** Automated mapping of foundational documents to specific tiers to prevent token bloat and maintain high-signal context.
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- **Tiered Context Scoping:** Employs optimized context subsets for each tier. Tiers 1 & 2 receive strategic documents and full history, while Tier 3/4 workers receive task-specific "Focus Files" and automated AST dependency skeletons.
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- **Worker Spawn Interceptor:** A mandatory security gate that intercepts every sub-agent launch. Provides a GUI modal allowing the user to review, modify, or reject the worker's prompt and file context before it is sent to the API.
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- **Strict Memory Siloing:** Employs tree-sitter AST-based interface extraction (Skeleton View, Curated View, and Targeted View) and "Context Amnesia" to provide workers only with the absolute minimum context required. Supports **Python, C, and C++** languages for structural extraction. Features an intelligent context aggregation engine utilizing **Hash-Based Caching (SHA256)** and LRU eviction to eliminate redundant processing. Employs **Tier-Level Aggregation Strategies** (`full`, `summarize`, `skeleton`) configured directly via Agent Personas, integrating high-tier AI sub-agents during the aggregation pass to generate succinct, high-signal summaries for both code and text files. Includes **Manual Skeleton Context Injection**, allowing developers to preview and manually inject file skeletons or full content into discussions via a dedicated GUI modal. Features multi-level dependency traversal and AST caching to minimize re-parsing overhead and token burn.
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- **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution, supported by a global "Linear Execution Clutch" for deterministic debugging.
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- **Parallel Multi-Agent Execution:** Executes multiple AI workers in parallel using a non-blocking execution engine and a dedicated `WorkerPool`. Features configurable concurrency limits (defaulting to 4) to optimize resource usage and prevent API rate limiting.
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- **Beads Mode Integration:** Supports [Beads](https://github.com/steveyegge/beads) as a first-class, project-specific alternative to markdown-based tracking.
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- **Git-Backed Issue Tracking:** Uses a local `.beads` repository (backed by Dolt) to store the task graph, allowing tracks and tickets to be versioned alongside the code.
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- **Beads Toolset:** Provides a suite of MCP tools (`bd_create`, `bd_update`, `bd_ready`, `bd_list`) for agents to manage the issue graph autonomously.
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- **Context Compaction:** Automatically summarizes completed beads to preserve context window space for the active task.
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- **Augmented Visualizations:** Integrates with the Visual DAG and MMA Dashboard to provide real-time visibility into the Dolt-backed issue graph.
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- **Git-Backed Issue Tracking:** Uses a local `.beads` repository (backed by Dolt) to store the task graph, allowing tracks and tickets to be versioned alongside the code.
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- **Beads Toolset:** Provides a suite of MCP tools (`bd_create`, `bd_update`, `bd_ready`, `bd_list`) for agents to manage the issue graph autonomously.
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- **Context Compaction:** Automatically summarizes completed beads to preserve context window space for the active task.
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- **Augmented Visualizations:** Integrates with the Visual DAG and MMA Dashboard to provide real-time visibility into the Dolt-backed issue graph.
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- **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently within a single agent turn using an asynchronous execution engine, significantly reducing end-to-end latency.
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- **Automated Tier 4 QA:** Integrates real-time error interception in the shell runner, automatically forwarding technical failures to cheap sub-agents for 20-word diagnostic summaries injected back into the worker history.
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- **External MCP Server Support:** Adds support for integrating external Model Context Protocol (MCP) servers, expanding the agent's toolset with the broader MCP ecosystem.
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- **Multi-Server Lifecycle Management:** Orchestrates multiple concurrent MCP server sessions (Stdio for local subprocesses and SSE for remote servers).
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- **Flexible Configuration:** Supports global (`config.toml`) and project-specific (`manual_slop.toml`) paths for `mcp_config.json` (standard MCP configuration format).
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- **Auto-Start & Discovery:** Automatically initializes configured servers on project load and dynamically aggregates their tools into the agent's capability declarations.
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- **Dedicated Operations UI:** Features a new **External Tools** section within the Operations Hub for monitoring server status (idle, starting, running, error) and browsing discovered tool schemas. Supports **Pop-Out Panel functionality**, allowing the External Tools interface to be detached into a standalone window for optimized multi-monitor workflows.
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- **Strict HITL Safety:** All external tool calls are intercepted and require explicit human-in-the-loop approval via the standard confirmation dialog before execution.
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- **Multi-Server Lifecycle Management:** Orchestrates multiple concurrent MCP server sessions (Stdio for local subprocesses and SSE for remote servers).
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- **Flexible Configuration:** Supports global (`config.toml`) and project-specific (`manual_slop.toml`) paths for `mcp_config.json` (standard MCP configuration format).
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- **Auto-Start & Discovery:** Automatically initializes configured servers on project load and dynamically aggregates their tools into the agent's capability declarations.
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- **Dedicated Operations UI:** Features a new **External Tools** section within the Operations Hub for monitoring server status (idle, starting, running, error) and browsing discovered tool schemas. Supports **Pop-Out Panel functionality**, allowing the External Tools interface to be detached into a standalone window for optimized multi-monitor workflows.
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- **Strict HITL Safety:** All external tool calls are intercepted and require explicit human-in-the-loop approval via the standard confirmation dialog before execution.
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- **Retrieval-Augmented Generation (RAG) Support:** Introduces advanced retrieval capabilities to overcome context window limitations and reduce hallucination.
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- **Multi-Source Retrieval:** Supports local vector stores (ChromaDB) and an **External RAG Bridge** via the Model Context Protocol (MCP) for connecting to third-party retrieval services.
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- **High-Performance Indexing:** Employs a parallelized indexing pipeline using `ThreadPoolExecutor` and incremental updates based on file `mtime` to handle large codebases efficiently.
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- **Deep Discussion Integration:** Retrieved context fragments are automatically prepended to agent prompts and captured in the discussion history, featuring a dedicated visualization mode with source buttons for instant file navigation.
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- **Configurable Strategy:** Users can toggle RAG globally and fine-tune retrieval parameters (source, embedding provider, chunk size/overlap) directly within the AI Settings.
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- **Automated Synchronization:** Features background re-indexing of the project workspace, ensuring the vector store remains consistent with the current project state.
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- **Multi-Source Retrieval:** Supports local vector stores (ChromaDB) and an **External RAG Bridge** via the Model Context Protocol (MCP) for connecting to third-party retrieval services.
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- **High-Performance Indexing:** Employs a parallelized indexing pipeline using `ThreadPoolExecutor` and incremental updates based on file `mtime` to handle large codebases efficiently.
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- **Deep Discussion Integration:** Retrieved context fragments are automatically prepended to agent prompts and captured in the discussion history, featuring a dedicated visualization mode with source buttons for instant file navigation.
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- **Configurable Strategy:** Users can toggle RAG globally and fine-tune retrieval parameters (source, embedding provider, chunk size/overlap) directly within the AI Settings.
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- **Automated Synchronization:** Features background re-indexing of the project workspace, ensuring the vector store remains consistent with the current project state.
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- **Undo/Redo History Support:** Implements a robust, non-provider based undo/redo system for managing UI state and discussion mutations.
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- **Comprehensive State Snapshots:** Captures all critical UI state, including text inputs (system prompts, AI input), model parameters (Temperature, Top-P), and context management (files, screenshots).
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- **Discussion Mutation Tracking:** Allows reverting and redoing additions, deletions, and structural changes to the discussion history.
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- **History List View:** Features a dedicated, scrollable panel showing recent actions with timestamps, allowing users to jump directly to any historical state.
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- **Tactile Hotkeys:** Supports industry-standard shortcuts (`Ctrl+Z`, `Ctrl+Y`, `Ctrl+Shift+Z`) for fast, intuitive state navigation.
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- **Comprehensive State Snapshots:** Captures all critical UI state, including text inputs (system prompts, AI input), model parameters (Temperature, Top-P), and context management (files, screenshots).
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- **Discussion Mutation Tracking:** Allows reverting and redoing additions, deletions, and structural changes to the discussion history.
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- **History List View:** Features a dedicated, scrollable panel showing recent actions with timestamps, allowing users to jump directly to any historical state.
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- **Tactile Hotkeys:** Supports industry-standard shortcuts (`Ctrl+Z`, `Ctrl+Y`, `Ctrl+Shift+Z`) for fast, intuitive state navigation.
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- **High-Fidelity Selectable UI:** Most read-only labels and logs across the interface (including discussion history, comms payloads, tool outputs, and telemetry metrics) are now implemented as selectable text fields. This enables standard OS-level text selection and copying (Ctrl+C) while maintaining a high-density, non-editable aesthetic.
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- **High-Fidelity UI Rendering:** Employs advanced 3x font oversampling and sub-pixel positioning to ensure crisp, high-clarity text rendering across all resolutions, enhancing readability for dense logs and complex code fragments.
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- **Workspace Docking & Layout Profiles:** Expands layout management to support named workspace profiles, capturing multi-viewport docking arrangements, window visibility, and internal panel states.
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- **Scope Inheritance:** Profiles follow a Global and Project inheritance model, allowing for both universal defaults and project-specific layouts.
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- **Contextual Auto-Switch (Experimental):** An opt-in mechanism that automatically binds and loads specific workspace profiles based on the active MMA Tier or task context, dynamically reshaping the UI for the current cognitive load.
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- **Scope Inheritance:** Profiles follow a Global and Project inheritance model, allowing for both universal defaults and project-specific layouts.
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- **Contextual Auto-Switch (Experimental):** An opt-in mechanism that automatically binds and loads specific workspace profiles based on the active MMA Tier or task context, dynamically reshaping the UI for the current cognitive load.
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- **Enhanced MMA Observability:** Worker streams and ticket previews now support direct text selection, allowing for easy extraction of specific logs or reasoning fragments during parallel execution.
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- **Transparent Context Visibility:** A dedicated **Session Hub** exposes the exact aggregated markdown and resolved system prompt sent to the AI.
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- **Injection Timeline:** Discussion history visually indicates the precise moments when files or screenshots were injected into the session context.
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@@ -124,18 +124,18 @@ For deep implementation details when planning or implementing tracks, consult `d
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- **Context & Token Visualization:** Detailed UI panels for monitoring real-time token usage, history depth, and **visual cache awareness** (tracking specific files currently live in the provider's context cache).
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- **On-Demand Definition Lookup:** Allows developers to request specific class or function definitions during discussions using `@SymbolName` syntax. Injected definitions feature syntax highlighting, intelligent collapsing for long blocks, and a **[Source]** button for instant navigation to the full file.
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- **Manual Ticket Queue Management:** Provides a dedicated GUI panel for granular control over the implementation queue. Features include color-coded priority assignment (High, Medium, Low), multi-select bulk operations (Execute, Skip, Block), and interactive drag-and-drop reordering with real-time Directed Acyclic Graph (DAG) validation.
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- **System Prompt Presets:** Comprehensive management system for saving and switching between complex system prompt configurations. Features full visibility and customization of the **Foundational Base System Prompt**, allowing users to modify the core instructions that define agent capabilities and tool usage heuristics. - **Scoped Inheritance:** Supports **Global** (application-wide) and **Project-Specific** presets. Project presets with the same name automatically override global counterparts, allowing for fine-tuned context tailoring.
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- **System Prompt Presets:** Comprehensive management system for saving and switching between complex system prompt configurations. Features full visibility and customization of the **Foundational Base System Prompt**, allowing users to modify the core instructions that define agent capabilities and tool usage heuristics. - **Scoped Inheritance:** Supports **Global** (application-wide) and **Project-Specific** presets. Project presets with the same name automatically override global counterparts, allowing for fine-tuned context tailoring.
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- **Command Palette:** A global, keyboard-driven launcher for actions across Manual Slop, triggered by `Ctrl+Shift+P`. Provides fuzzy-search across all built-in and user-defined commands. Includes an **"Everything" mode** (`Ctrl+Shift+E`) that searches across commands, files, symbols, history, and settings. Uses an **async context preview worker** to prevent UI hangs during cross-domain searches. See [guide_command_palette.md](../docs/guide_command_palette.md).
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- **Full AI Profiles:** Presets capture not only the system prompt text but also critical model parameters like **Temperature**, **Top-P**, and **Max Output Tokens**.
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- **Preset Manager Modal:** A dedicated high-density GUI for creating, editing, and deleting presets with real-time validation and instant application to the active session.
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- **Agent Personas & Unified Profiles:** Consolidates model settings, provider routing, system prompts, tool presets, and bias profiles into named "Persona" entities.
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- **Single Configuration Entity:** Switch models, tool weights, and system prompts simultaneously using a single Persona selection.
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- **Persona Editor Modal:** A dedicated high-density GUI for creating, editing, and deleting Personas.
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- **MMA Granular Assignment:** Allows assigning specific Personas to individual agents within the 4-Tier Hierarchical MMA.
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- **Agent Tool Weighting & Bias:** Influences agent tool selection via a weighting system.
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- **Semantic Nudging:** Automatically prefixes tool and parameter descriptions with priority tags (e.g., [HIGH PRIORITY], [PREFERRED]) to bias model selection.
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- **Dynamic Tooling Strategy:** Automatically appends a Markdown "Tooling Strategy" section to system instructions based on the active preset and global bias profile.
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- **Global Bias Profiles:** Application of category-level multipliers (e.g., Execution-Focused, Discovery-Heavy) to influence agent behavior across broad toolsets.
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- **Priority Badges & Refined Layout:** High-density, color-coded visual indicators in tool lists showing the assigned priority level of each capability. Displays tool names before radio buttons with consistent spacing for improved readability.
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- **Category-Based Filtering:** Integrated category filtering in both the Active Tools panel and the Tool Preset Manager, allowing users to quickly manage large toolsets.
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- **Fine-Grained Weight Control:** Integrated sliders in the Preset Manager for adjusting individual tool weights (1-5) and parameter-level biases.
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- **Full AI Profiles:** Presets capture not only the system prompt text but also critical model parameters like **Temperature**, **Top-P**, and **Max Output Tokens**.
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- **Preset Manager Modal:** A dedicated high-density GUI for creating, editing, and deleting presets with real-time validation and instant application to the active session.
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- **Agent Personas & Unified Profiles:** Consolidates model settings, provider routing, system prompts, tool presets, and bias profiles into named "Persona" entities.
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- **Single Configuration Entity:** Switch models, tool weights, and system prompts simultaneously using a single Persona selection.
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- **Persona Editor Modal:** A dedicated high-density GUI for creating, editing, and deleting Personas.
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- **MMA Granular Assignment:** Allows assigning specific Personas to individual agents within the 4-Tier Hierarchical MMA.
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- **Agent Tool Weighting & Bias:** Influences agent tool selection via a weighting system.
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- **Semantic Nudging:** Automatically prefixes tool and parameter descriptions with priority tags (e.g., [HIGH PRIORITY], [PREFERRED]) to bias model selection.
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- **Dynamic Tooling Strategy:** Automatically appends a Markdown "Tooling Strategy" section to system instructions based on the active preset and global bias profile.
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- **Global Bias Profiles:** Application of category-level multipliers (e.g., Execution-Focused, Discovery-Heavy) to influence agent behavior across broad toolsets.
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- **Priority Badges & Refined Layout:** High-density, color-coded visual indicators in tool lists showing the assigned priority level of each capability. Displays tool names before radio buttons with consistent spacing for improved readability.
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- **Category-Based Filtering:** Integrated category filtering in both the Active Tools panel and the Tool Preset Manager, allowing users to quickly manage large toolsets.
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- **Fine-Grained Weight Control:** Integrated sliders in the Preset Manager for adjusting individual tool weights (1-5) and parameter-level biases.
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