chore(conductor): Archive track 'manual_slop_headless_20260225'

conductor/tracks/manual_slop_headless_20260225/index.md

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-# Track manual_slop_headless_20260225 Context
-
-- [Specification](./spec.md)
-- [Implementation Plan](./plan.md)
-- [Metadata](./metadata.json)

conductor/tracks/manual_slop_headless_20260225/metadata.json

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-{
-  "track_id": "manual_slop_headless_20260225",
-  "type": "feature",
-  "status": "new",
-  "created_at": "2026-02-25T12:00:00Z",
-  "updated_at": "2026-02-25T12:00:00Z",
-  "description": "Support headless manual_slop for making an unraid gui docker frontend and a unraid server backend down the line."
-}

conductor/tracks/manual_slop_headless_20260225/plan.md

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-# Implementation Plan: Manual Slop Headless Backend
-
-## Phase 1: Project Setup & Headless Scaffold [checkpoint: d5f056c]
-- [x] Task: Update dependencies (02fc847)
-    - [x] Add `fastapi` and `uvicorn` to `pyproject.toml` (and sync `requirements.txt` via `uv`).
-- [x] Task: Implement headless startup
-    - [x] Modify `gui_2.py` (or create `headless.py`) to parse a `--headless` CLI flag.
-    - [x] Update config parsing in `config.toml` to support headless configuration sections.
-    - [x] Bypass Dear PyGui initialization if headless mode is active.
-- [x] Task: Create foundational API application
-    - [x] Set up the core FastAPI application instance.
-    - [x] Implement `/health` and `/status` endpoints for Docker lifecycle checks.
-- [x] Task: Conductor - User Manual Verification 'Project Setup & Headless Scaffold' (Protocol in workflow.md) d5f056c
-
-## Phase 2: Core API Routes & Authentication [checkpoint: 4e0bcd5]
-- [x] Task: Implement API Key Security
-    - [x] Create a dependency/middleware in FastAPI to validate `X-API-KEY`.
-    - [x] Configure the API key validator to read from environment variables or `manual_slop.toml` (supporting Unraid template secrets).
-    - [x] Add tests for authorized and unauthorized API access.
-- [x] Task: Implement AI Generation Endpoint
-    - [x] Create a `/api/v1/generate` POST endpoint.
-    - [x] Map request payloads to `ai_client.py` unified wrappers.
-    - [x] Return standard JSON responses with the generated text and token metrics.
-- [x] Task: Conductor - User Manual Verification 'Core API Routes & Authentication' (Protocol in workflow.md) 4e0bcd5
-
-## Phase 3: Remote Tool Confirmation Mechanism [checkpoint: a6e184e]
-- [x] Task: Refactor Execution Engine for Async Wait
-    - [x] Modify `shell_runner.py` and tool-call loops to support a non-blocking "Pending Confirmation" state instead of launching a GUI modal.
-- [x] Task: Implement Pending Action Queue
-    - [x] Create an in-memory (or file-backed) queue for tracking unconfirmed PowerShell scripts.
-- [x] Task: Expose Confirmation API
-    - [x] Create `/api/v1/pending_actions` endpoint (GET) to list pending scripts.
-    - [x] Create `/api/v1/confirm/{action_id}` endpoint (POST) to approve or deny a script execution.
-    - [x] Ensure the AI generation loop correctly resumes upon receiving approval.
-- [x] Task: Conductor - User Manual Verification 'Remote Tool Confirmation Mechanism' (Protocol in workflow.md) a6e184e
-
-## Phase 4: Session & Context Management via API [checkpoint: 7f3a1e2]
-- [x] Task: Expose Session History
-    - [x] Create endpoints to list, retrieve, and delete session logs from the `project_history.toml`.
-- [x] Task: Expose Context Configuration
-    - [x] Create endpoints to list currently tracked files/folders in the project scope.
-- [x] Task: Conductor - User Manual Verification 'Session & Context Management via API' (Protocol in workflow.md) 7f3a1e2
-
-## Phase 5: Dockerization [checkpoint: 5176b8d]
-- [x] Task: Create Dockerfile
-    - [x] Write a `Dockerfile` using `python:3.11-slim` as a base.
-    - [x] Configure `uv` inside the container for fast dependency installation.
-    - [x] Expose the API port (e.g., 8000) and set the container entrypoint.
-- [x] Task: Conductor - User Manual Verification 'Dockerization' (Protocol in workflow.md) 5176b8d
-
-## Phase: Review Fixes
-- [x] Task: Apply review suggestions (docstrings and security fix) 9b50bfa

conductor/tracks/manual_slop_headless_20260225/spec.md

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-# Specification: Manual Slop Headless Backend
-
-## Overview
-Transform Manual Slop into a decoupled, container-friendly backend service. This track enables the core AI orchestration and tool execution logic to run without a GUI, exposing its capabilities via a secured REST API optimized for an Unraid Docker environment.
-
-## Goals
-- Decouple the GUI logic (`Dear PyGui`, `ImGui`) from the core AI and Tool logic.
-- Implement a lightweight REST API server (FastAPI) to handle AI interactions.
-- Ensure full compatibility with Unraid Docker networking and configuration patterns.
-- Maintain the "Human-in-the-Loop" safety model through a remote confirmation mechanism.
-
-## Functional Requirements
-
-### 1. Headless Mode Lifecycle
-- **Startup**: Provide a `--headless` flag or `[headless]` section in `manual_slop.toml` to skip GUI initialization.
-- **Dependencies**: Ensure the app can start in environments without an X11/Wayland display or GPU.
-- **Service Mode**: Support running as a persistent background daemon/service.
-
-### 2. REST API (FastAPI)
-- **Status/Health**: `/status` and `/health` endpoints for Docker/Unraid monitoring.
-- **AI Interface**: `/generate` and `/stream` endpoints to interact with configured AI providers.
-- **Tool Management**: Endpoints to list and execute tools (PowerShell/MCP).
-- **Session Support**: Manage conversation history and project context via API.
-
-### 3. Security & Authentication
-- **API Key**: Require a `X-API-KEY` header for all sensitive endpoints.
-- **Unraid Integration**: API keys should be configurable via Environment Variables (standard for Unraid templates).
-
-### 4. Remote Confirmation Mechanism
-- **Challenge/Response**: When a tool requires execution, the API should return a "Pending Confirmation" state.
-- **Webhook/Poll**: Support a mechanism (e.g., a `/confirm/{id}` endpoint) for the future frontend to approve/deny actions.
-
-## Non-Functional Requirements
-- **Performance**: Headless mode should use significantly less memory/CPU than the GUI version.
-- **Logging**: Use standard Python `logging` for Docker-compatible stdout/stderr output.
-- **Portability**: Must run reliably inside a standard `python:3.11-slim` or similar Docker image.
-
-## Acceptance Criteria
-- [ ] Manual Slop starts successfully with `--headless` and no display environment.
-- [ ] API is accessible via a configurable port (e.g., 8000).
-- [ ] All API requests are rejected without a valid API Key.
-- [ ] AI generation works via REST endpoints, returning structured JSON or a stream.
-- [ ] Tool execution is successfully blocked until a separate "Confirm" API call is made.
-
-## Out of Scope
-- Building the actual Unraid GUI frontend (React/Vue/etc.).
-- Multi-user authentication (OIDC/OAuth2).
-- Native Unraid `.plg` plugin development (focusing on Docker).