[project]
name = "manual_slop"
git_dir = "C:/projects/manual_slop"

[output]
namespace = "manual_slop"
output_dir = "./md_gen"

[files]
base_dir = "C:/projects/manual_slop"
paths = [
    "config.toml",
    "ai_client.py",
    "aggregate.py",
    "gemini.py",
    "gui.py",
    "pyproject.toml",
    "MainContext.md",
    "C:/projects/manual_slop/shell_runner.py",
    "C:/projects/manual_slop/session_logger.py",
    "C:/projects/manual_slop/file_cache.py",
    "C:/projects/manual_slop/theme.py",
    "C:/projects/manual_slop/project_manager.py",
    "C:/projects/manual_slop/manual_slop.toml",
]

[screenshots]
base_dir = "C:/Users/Ed/scoop/apps/sharex/current/ShareX/Screenshots/2026-02"
paths = []

[discussion]
roles = [
    "User",
    "AI",
    "Vendor API",
    "System",
]
active = "main"

[discussion.discussions.main]
git_commit = ""
last_updated = "2026-02-21T19:26:54"
history = [
    "User:\nLets add multiple project support. currently this project would be the \"manual_slop\" project. \nI need to make a separate \"manual_slop.toml\" for this and offload things that would be within a per project to it.\nI also want to have several discussion histories that I can label. \nThis would allow me to stash and continue separate effort's histories..\nIt would be important if these discussions saved the last git commit they were on. (I'll need a buton to manually update it).\nAnd timestamps on each discussion entry to give an idea of the duration involved and \nhow the project has evolved since the discussion stream's effort was last done.\nBasically preserve context so ai can use that as valuable information in its working memory.\n\nTo load a project I'll need to hoist it into the config by providing the path.\nMaybe allow multiple project tomls to be specified path wise in the array.",
    "User:\nOk your started to work on multiple-project support, you added project_manager.py and manaual_slop.toml, its not being used yet. the rest of the codebase hasn't intergrated with the changes.\nThere might be something wrong with powershell tool use. If you suspect so try to fix that but otherwise lets finish the support for multiple projects.",
    "AI:\nGood. Now the big one — rewriting `gui.py`. The integration points are:\n\n- Load/save via `project_manager` instead of raw `config.toml` for project data\n- A **Projects** panel: list of loaded project paths, add/remove, switch active project, \"New Project\" button\n- A **Discussions** sub-section inside Discussion History panel: list named discussions, create/rename/delete/switch active, show git commit + timestamp, \"Update Commit\" button\n- `disc_entries` timestamps wired up via `entry_to_str`/`str_to_entry`\n- `_flush_to_project()` saves to the active `.toml`; `_flush_to_config()` saves global config only",
    "User:\nSure do it, I can't restart the program till you do those changes cause otherwise the config will not work.",
    "AI:\nI have a full picture of the current state. The plan is clear. I'll write the new `gui.py` as a Python script to avoid all PowerShell string-escaping issues — this is a full rewrite of that file since the integration touches nearly every part of it.\n\nKey changes:\n- `App.__init__` loads from `config.toml` for global settings (`[ai]`, `[theme]`, `[projects]`), then loads the active project `.toml` via `project_manager`\n- `_flush_to_project()` / `_flush_to_config()` save to the right places\n- **Projects panel** (`win_projects`): list of project paths from `config.toml [projects]`, add/remove, switch active — reloads all project-derived state\n- **Discussion selector** inside the Discussion History panel: list named discussions, create new, rename, delete, switch — each has git commit + last_updated shown, \"Update Commit\" button\n- `disc_entries` now round-trips through `project_manager.entry_to_str` / `str_to_entry` (preserving `@timestamp` lines)\n- New entries get a `ts` stamp when appended via `-> History`",
    "User:\nfor the love of god. please just finish the todos, I tired to fix a bug with the way your able to use tooling, hopefully its fixed\n\nOpus helped me:\nBug 1 — Anthropic SDK objects stored as-is in history (the main tool use bug): response.content contains Anthropic SDK ContentBlock objects (not dicts). These were stored directly into _anthropic_history. On subsequent API calls, the SDK would try to re-serialize these objects alongside plain dicts, causing failures — especially after tool use rounds where the history gets complex. Fixed by adding _content_block_to_dict() and calling [_content_block_to_dict(b) for b in response.content] before storing.\n\nBug 2 — _repair_anthropic_history tried to handle SDK objects but history now always has dicts: The old code had a dual path (isinstance(block, dict) vs getattr(block, \"type\", None)) to handle both dicts and SDK objects. Since we now always store dicts, I simplified it to only check dicts, removing the dead code path that could mask issues.\n\nBug 3 — Gemini function_call access without hasattr guard: The tool call list comprehension did part.function_call is not None without first checking hasattr(part, \"function_call\"). Added the hasattr guard to match the pattern used for part.text.\n\nBug 4 — Anthropic b.type == \"tool_use\" direct attribute access: Changed to getattr(b, \"type\", None) == \"tool_use\" for safer access on SDK content blocks during the response processing loop (before they get converted to dicts).\n\n---\nSo lets get back to supporting multiple projects thanks.\n",
    "AI:\nPowerShell is collapsing the string interpolation. I'll write it as a `.py` file instead.",
]