fix to ai_client.py

MainContext.md

@@ -13,15 +13,15 @@ Is a local GUI tool for manually curating and sending context to AI APIs. It agg
 
 **Files:**
 - `gui.py` - main GUI, `App` class, all panels, all callbacks, confirmation dialog, layout persistence, rich comms rendering
-- `ai_client.py` - unified provider wrapper, model listing, session management, send, tool/function-call loop, comms log, provider error classification
-- `aggregate.py` - reads config, collects files/screenshots/discussion, writes numbered `.md` files to `output_dir`
+- `ai_client.py` - unified provider wrapper, model listing, session management, send, tool/function-call loop, comms log, provider error classification, token estimation, and aggressive history truncation
+- `aggregate.py` - reads config, collects files/screenshots/discussion, builds `file_items` with `mtime` for cache optimization, writes numbered `.md` files to `output_dir` using `build_markdown_from_items` to avoid double I/O; `run()` returns `(markdown_str, path, file_items)` tuple; `summary_only=False` by default (full file contents sent, not heuristic summaries)
 - `shell_runner.py` - subprocess wrapper that runs PowerShell scripts sandboxed to `base_dir`, returns stdout/stderr/exit code as a string
 - `session_logger.py` - opens timestamped log files at session start; writes comms entries as JSON-L and tool calls as markdown; saves each AI-generated script as a `.ps1` file
 - `project_manager.py` - per-project .toml load/save, entry serialisation (entry_to_str/str_to_entry with @timestamp support), default_project/default_discussion factories, migrate_from_legacy_config, flat_config for aggregate.run(), git helpers (get_git_commit, get_git_log)
 - `theme.py` - palette definitions, font loading, scale, load_from_config/save_to_config
 - `gemini.py` - legacy standalone Gemini wrapper (not used by the main GUI; superseded by `ai_client.py`)
 - `file_cache.py` - stub; Anthropic Files API path removed; kept so stale imports don't break
-- `mcp_client.py` - MCP-style read-only file tools (read_file, list_directory, search_files, get_file_summary); allowlist enforced against project file_items + base_dirs; dispatched by ai_client tool-use loop for both Anthropic and Gemini
+- `mcp_client.py` - MCP-style tools (read_file, list_directory, search_files, get_file_summary, web_search, fetch_url); allowlist enforced against project file_items + base_dirs for file tools; web tools are unrestricted; dispatched by ai_client tool-use loop for both Anthropic and Gemini
 - `summarize.py` - local heuristic summariser (no AI); .py via AST, .toml via regex, .md headings, generic preview; used by mcp_client.get_file_summary and aggregate.build_summary_section
 - `config.toml` - global-only settings: [ai] provider+model+system_prompt, [theme] palette+font+scale, [projects] paths array + active path
 - `manual_slop.toml` - per-project file: [project] name+git_dir+system_prompt+main_context, [output] namespace+output_dir, [files] base_dir+paths, [screenshots] base_dir+paths, [discussion] roles+active+[discussion.discussions.<name>] git_commit+last_updated+history
@@ -87,7 +87,7 @@ Is a local GUI tool for manually curating and sending context to AI APIs. It agg
 - All tool calls (script + result/rejection) are appended to `_tool_log` and displayed in the Tool Calls panel
 
 **Dynamic file context refresh (ai_client.py):**
-- After the last tool call in each round, all project files from `file_items` are re-read from disk via `_reread_file_items()`. The `file_items` variable is reassigned so subsequent rounds see fresh content.
+- After the last tool call in each round, project files from `file_items` are checked via `_reread_file_items()`. It uses `mtime` to only re-read modified files, returning only the `changed` files to build a minimal `[FILES UPDATED]` block.
 - For Anthropic: the refreshed file contents are injected as a `text` block appended to the `tool_results` user message, prefixed with `[FILES UPDATED]` and an instruction not to re-read them.
 - For Gemini: refreshed file contents are appended to the last function response's `output` string as a `[SYSTEM: FILES UPDATED]` block. On the next tool round, stale `[FILES UPDATED]` blocks are stripped from history and old tool outputs are truncated to `_history_trunc_limit` characters to control token growth.
 - `_build_file_context_text(file_items)` formats the refreshed files as markdown code blocks (same format as the original context)
@@ -141,10 +141,12 @@ Entry layout: index + timestamp + direction + kind + provider/model header row,
 - `log_tool_call(script, result, script_path)` writes the script to `scripts/generated/<ts>_<seq:04d>.ps1` and appends a markdown record to the toolcalls log without the script body (just the file path + result); uses a `threading.Lock` for the sequence counter
 - `close_session()` flushes and closes both file handles; called just before `dpg.destroy_context()`
 
-**Anthropic prompt caching:**
+**Anthropic prompt caching & history management:**
 - System prompt + context are combined into one string, chunked into <=120k char blocks, and sent as the `system=` parameter array. Only the LAST chunk gets `cache_control: ephemeral`, so the entire system prefix is cached as one unit.
 - Last tool in `_ANTHROPIC_TOOLS` (`run_powershell`) has `cache_control: ephemeral`; this means the tools prefix is cached together with the system prefix after the first request.
 - The user message is sent as a plain `[{"type": "text", "text": user_message}]` block with NO cache_control. The context lives in `system=`, not in the first user message.
+- `_add_history_cache_breakpoint` places `cache_control:ephemeral` on the last content block of the second-to-last user message, using the 4th cache breakpoint to cache the conversation history prefix.
+- `_trim_anthropic_history` uses token estimation (`_CHARS_PER_TOKEN = 3.5`) to keep the prompt under `_ANTHROPIC_MAX_PROMPT_TOKENS = 180_000`. It strips stale file refreshes from old turns, and drops oldest turn pairs if still over budget.
 - The tools list is built once per session via `_get_anthropic_tools()` and reused across all API calls within the tool loop, avoiding redundant Python-side reconstruction.
 - `_strip_cache_controls()` removes stale `cache_control` markers from all history entries before each API call, ensuring only the stable system/tools prefix consumes cache breakpoint slots.
 - Cache stats (creation tokens, read tokens) are surfaced in the comms log usage dict and displayed in the Comms History panel
@@ -180,13 +182,15 @@ Entry layout: index + timestamp + direction + kind + provider/model header row,
 **MCP file tools (mcp_client.py + ai_client.py):**
 - Four read-only tools exposed to the AI as native function/tool declarations: `read_file`, `list_directory`, `search_files`, `get_file_summary`
 - Access control: `mcp_client.configure(file_items, extra_base_dirs)` is called before each send; builds an allowlist of resolved absolute paths from the project's `file_items` plus the `base_dir`; any path that is not explicitly in the list or not under one of the allowed directories returns `ACCESS DENIED`
-- `mcp_client.dispatch(tool_name, tool_input)` is the single dispatch entry point used by both Anthropic and Gemini tool-use loops
+- `mcp_client.dispatch(tool_name, tool_input)` is the single dispatch entry point used by both Anthropic and Gemini tool-use loops; `TOOL_NAMES` set now includes all six tool names
 - Anthropic: MCP tools appear before `run_powershell` in the tools list (no `cache_control` on them; only `run_powershell` carries `cache_control: ephemeral`)
 - Gemini: MCP tools are included in the `FunctionDeclaration` list alongside `run_powershell`
 - `get_file_summary` uses `summarize.summarise_file()` — same heuristic used for the initial `<context>` block, so the AI gets the same compact structural view it already knows
 - `list_directory` sorts dirs before files; shows name, type, and size
 - `search_files` uses `Path.glob()` with the caller-supplied pattern (supports `**/*.py` style)
 - `read_file` returns raw UTF-8 text; errors (not found, access denied, decode error) are returned as error strings rather than exceptions, so the AI sees them as tool results
+- `web_search(query)` queries DuckDuckGo HTML endpoint and returns the top 5 results (title, URL, snippet) as a formatted string; uses a custom `_DDGParser` (HTMLParser subclass)
+- `fetch_url(url)` fetches a URL, strips HTML tags/scripts via `_TextExtractor` (HTMLParser subclass), collapses whitespace, and truncates to 40k chars to prevent context blowup; handles DuckDuckGo redirect links automatically
 - `summarize.py` heuristics: `.py` → AST imports + ALL_CAPS constants + classes+methods + top-level functions; `.toml` → table headers + top-level keys; `.md` → h1–h3 headings with indentation; all others → line count + first 8 lines preview
 - Comms log: MCP tool calls log `OUT/tool_call` with `{"name": ..., "args": {...}}` and `IN/tool_result` with `{"name": ..., "output": ...}`; rendered in the Comms History panel via `_render_payload_tool_call` (shows each arg key/value) and `_render_payload_tool_result` (shows output)
 
@@ -199,7 +203,9 @@ Entry layout: index + timestamp + direction + kind + provider/model header row,
 
 ### Gemini Context Management
 - Gemini uses explicit caching via `client.caches.create()` to store the `system_instruction` + tools as an immutable cached prefix with a 1-hour TTL. The cache is created once per chat session.
+- Proactively rebuilds cache at 90% of `_GEMINI_CACHE_TTL = 3600` to avoid stale-reference errors.
 - When context changes (detected via `md_content` hash), the old cache is deleted, a new cache is created, and chat history is migrated to a fresh chat session pointing at the new cache.
+- Trims history by dropping oldest pairs if input tokens exceed `_GEMINI_MAX_INPUT_TOKENS = 900_000`.
 - If cache creation fails (e.g., content is under the minimum token threshold — 1024 for Flash, 4096 for Pro), the system falls back to inline `system_instruction` in the chat config. Implicit caching may still provide cost savings in this case.
 - The `<context>` block lives inside `system_instruction`, NOT in user messages, preventing history bloat across turns.
 - On cleanup/exit, active caches are deleted via `ai_client.cleanup()` to prevent orphaned billing.
@@ -244,3 +250,20 @@ Documentation has been completely rewritten matching the strict, structural form
 - `docs/guide_architecture.md`: Details the Python implementation algorithms, queue management for UI rendering, the specific AST heuristics used for context aggregation, and the distinct algorithms for trimming Anthropic history vs Gemini state caching.
 - `docs/Readme.md`: The core interface manual.
 - `docs/guide_tools.md`: Security architecture for `_is_allowed` paths and definitions of the read-only vs destructive tool pipeline.
+
+
+
+
+## Updates (2026-02-22 — ai_client.py & aggregate.py)
+
+### mcp_client.py — Web Tools Added
+- `web_search(query)` and `fetch_url(url)` added as two new MCP tools alongside the existing four file tools.
+- `TOOL_NAMES` set updated to include all six tool names for dispatch routing.
+- `MCP_TOOL_SPECS` list extended with full JSON schema definitions for both web tools.
+- Both tools are declared in `_build_anthropic_tools()` and `_gemini_tool_declaration()` so they are available to both providers.
+- Web tools bypass the `_is_allowed` path check (no filesystem access); file tools retain the allowlist enforcement.
+
+### aggregate.py — run() double-I/O elimination
+- `run()` now calls `build_file_items()` once, then passes the result to `build_markdown_from_items()` instead of calling `build_files_section()` separately. This avoids reading every file twice per send.
+- `build_markdown_from_items()` accepts a `summary_only` flag (default `False`); when `False` it inlines full file content; when `True` it delegates to `summarize.build_summary_markdown()` for compact structural summaries.
+- `run()` returns a 3-tuple `(markdown_str, output_path, file_items)` — the `file_items` list is passed through to `gui.py` as `self.last_file_items` for dynamic context refresh after tool calls.

ai_client.py

@@ -955,13 +955,16 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
                     ),
                 })
 
+            def _strip_private_keys(history):
+                return [{k: v for k, v in m.items() if not k.startswith("_")} for m in history]
+
             response = _anthropic_client.messages.create(
                 model=_model,
                 max_tokens=_max_tokens,
                 temperature=_temperature,
                 system=system_blocks,
                 tools=_get_anthropic_tools(),
-                messages=_anthropic_history,
+                messages=_strip_private_keys(_anthropic_history),
             )
 
             # Convert SDK content block objects to plain dicts before storing in history

config.toml

@@ -17,4 +17,4 @@ paths = [
     "manual_slop.toml",
     "C:/projects/forth/bootslop/bootslop.toml",
 ]
-active = "C:/projects/forth/bootslop/bootslop.toml"
+active = "manual_slop.toml"

manual_slop.toml

@@ -38,33 +38,12 @@ roles = [
     "Vendor API",
     "System",
 ]
-active = "docs writeup"
+active = "docs"
 auto_add = true
 
-[discussion.discussions.main]
-git_commit = "3b2da7873f839bf062c06c7539fadd9df7a3e2b9"
-last_updated = "2026-02-21T22:23:30"
-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.",
-    "AI:\nPowerShell is collapsing the string interpolation. I'll write it as a `.py` file instead.",
-    "@2026-02-21T20:41:36\nUser:\nSo I did it with anythingllm frontend instead. \n\nLets update MainContext.md.\n\nSummary of what changed:\n\n- config.toml — now global-only: [ai], [theme], [projects] (paths list + active path). All project data removed.\n- gui.py — App.__init__ — loads global config, then loads the active project .toml via project_manager.load_project(). Falls back to migrate_from_legacy_config() if no valid project file exists.\n- _flush_to_project() / _flush_to_config() — split into two methods. _flush_to_project() writes widget values into self.project (the per-project dict). _flush_to_config() writes global settings ([ai], [theme], [projects]) into self.config.\n- _do_generate() — uses project_manager.flat_config() to produce the dict that aggregate.run() expects, so aggregate.py needs zero changes.\n- Projects panel — new win_projects window with: active project name display, git directory input, scrollable list of project paths (click to switch, x to remove), Add Project / New Project / Save All buttons.\n- Discussion selector — collapsible section inside Discussion History panel with: listbox of named discussions, git commit + last_updated display, Update Commit button, Create/Rename/Delete buttons with a name input field.\n- Timestamps — new entries get ts via project_manager.now_ts(). Displayed next to the role combo in the disc entry list. Round-tripped through entry_to_str/str_to_entry.\n- On exit — run() now saves both project and global config before destroying context, so nothing is lost on clean close.",
-    "@2026-02-21T20:41:37\nVendor API:\nERROR: 'NoneType' object has no attribute 'messages'",
-    "@2026-02-21T20:43:31\nUser:\nYou got an error when attempting to modify the markdown file wth powershell...\n\nScript used:\n```ps1\n[Omitted becuase issue was already resolved]\n```",
-    "@2026-02-21T20:44:45\nAI:\n`MainContext.md` has been successfully updated. Here's a summary of what changed:\n\n**Sections updated:**\n\n1. **Files** — Added `project_manager.py`, `theme.py`, `config.toml` (now described as global-only), `manual_slop.toml` (per-project). Removed the old description of `config.toml` as holding all project data.\n\n2. **GUI Panels** — Added the **Projects** panel description. Updated **Discussion History** to include the discussion selector (collapsible header with listbox, git commit/timestamp display, Update Commit, Create/Rename/Delete), collapse toggle, timestamps, and the `-> History` button descriptions on Message/Response panels.\n\n3. **Project management** — New section describing the split config model, `_flush_to_project()`/`_flush_to_config()`, project switching, and new project creation.\n\n4. **Discussion management** — New section covering named discussions, create/rename/delete/switch, git commit tracking, and timestamps.\n\n5. **Entry serialisation** — New section documenting `entry_to_str`/`str_to_entry` round-trip format with `@timestamp` prefix.\n\n6. **Data flow** — Updated to reflect `self.project`/`self.disc_entries`, the two flush methods, `project_manager.flat_config()` producing the dict for `aggregate.run()`.\n\n7. **Config persistence** — Replaced with the new split model: `config.toml` (global) + `<project>.toml` (per-project), both saved on send/save/exit.\n\n8. **Anthropic bug fixes** — New section documenting the 4 SDK bugs that were fixed.",
-    "@2026-02-21T20:47:42\nUser:\nOk perfect, now update your tool usage with this frontend prompting editor so that its easier for you to make code changes the way you just did with python.\n\nIn ./scripts/generated, just the last 3-4 scripts created to see what I mean.",
-    "@2026-02-21T20:47:45\nAI:\nLet me verify that came out clean:",
-    "@2026-02-21T20:47:54\nUser:\nGo for it! I'll restart it rn...",
-    "@2026-02-21T20:50:05\nUser:\nnope thats all.",
-]
-
 [discussion.discussions."Support files or mcp, or proper dynamic context uptake."]
 git_commit = "59208b27ec31949cb45cae382dddaee645b53b4f"
-last_updated = "2026-02-21T22:23:32"
+last_updated = "2026-02-22T17:04:05"
 history = [
     "@2026-02-21T21:30:26\nUser:\nLets add support for mcp. Similar to what claude code has, but restricted only to the paths provided. We have a basic summerizer right now but it doesn't work for all code files (we'd need tree-sitter). We need to add support for getting heurstics on what nuances each file has that is valuable for a basic overview before retrieving their content worst case to get a job done.",
     "@2026-02-21T21:30:32\nAI:\nThe PowerShell `Set-Content` write corrupted the file — it re-encoded it as Windows-1252, turning the UTF-8 em-dash (0xE2 0x80 0x94) into 0x97. I need to read the file as bytes, find and fix the corruption, apply the three targeted changes, and write back as UTF-8.",
@@ -86,7 +65,7 @@ history = [
 
 [discussion.discussions."Support for system prompt"]
 git_commit = "f258fc5765d647eb821716bce3d2000fb2ba2857"
-last_updated = "2026-02-21T22:23:31"
+last_updated = "2026-02-22T17:04:05"
 history = [
     "@2026-02-21T21:52:16\nUser:\ngemini testing 123 you get this message, first time using you proper in this custom frontend.",
     "@2026-02-21T21:52:17\nAI:\nLoud and clear! I've received your message through your **Manual Slop** frontend. It looks like a very capable environment—I can see you've implemented:\n\n1.  **Multi-provider support** (Anthropic and Gemini).\n2.  **Tool use/MCP-like capabilities** (file reading, directory listing, searching, etc.).\n3.  **Project & Discussion management** via TOML files.\n4.  **Rich GUI** using `dearpygui`.\n\nSince this is our first \"proper\" session in this interface, I'm ready to help you develop, debug, or refine the project. I have access to your local files through the tools you've provided, so I can see the codebase and even run PowerShell scripts if needed.\n\nIs there a specific feature you'd like to work on next, or any bugs in the Gemini integration you've noticed during your \"123\" test?",
@@ -99,8 +78,8 @@ history = [
 ]
 
 [discussion.discussions."Make sure it works well with gemini"]
-git_commit = "32af96b3658b813cf4fd7e270b20d661187394cf"
-last_updated = "2026-02-21T22:46:10"
+git_commit = "73fad80257e285a0390e4e7e55886457c22a77a0"
+last_updated = "2026-02-22T17:04:55"
 history = [
     "@2026-02-21T22:26:26\nUser:\nQuestion: For how we're doing things right now, you have to re-read files cause its not saved in discussion history rigt per me sending a gen + send?\nIs there a way you can do a routine to save important files to the discussion or upload them temporarily to a gemini cache so that we don't have to worrya bout re-reading read-only things you already gathered info on for an active discussion?\nI'm not sure the depths of how this custom api works or custom tooling, etc gemini api from google provides...\n\n(I'm also reviewing using this with gemini to make sure there are no hiccups from how the api is utilized).",
     "@2026-02-21T22:26:32\nAI:\n(No text returned by the model)",
@@ -112,7 +91,7 @@ history = [
 
 [discussion.discussions."Misc UX improvements"]
 git_commit = "0cccaf05a36269a23224d731bf9a57a209a23f14"
-last_updated = "2026-02-22T01:08:35"
+last_updated = "2026-02-22T17:04:06"
 history = [
     "@2026-02-21T23:03:51\nUser:\nMake the namespace for the generated markdown file the projet name instead of that specific namespace in the config panel.\nThe ouptut dir can be in the project panel spec (that way we can just remove config panel entirely).",
     "@2026-02-21T23:04:55\nAI:\nI have applied the changes to streamline the project settings and remove the old Config panel completely:\n\n1. **GUI Layout Changes (`gui.py`)**:\n   - The `Config` panel has been completely removed.\n   - The **Output Dir** field has been moved into the **Projects** panel (right above the Project Files list).\n   - The **Auto-add history** checkbox has been moved to the top of the **Discussion History** panel (directly under the entry toolbar buttons).\n   - The **Files** panel was shifted upward to reclaim the space left behind by the old Config panel.\n\n2. **Namespace Management (`aggregate.py` & `project_manager.py`)**:\n   - The explicitly defined `namespace` field is gone.\n   - Instead, `aggregate.py` now directly infers the output markdown file namespace from the active project's `name` property. (e.g., saving under the `manual_slop` project will just prefix the markdown with `manual_slop_001.md`).\n   - `project_manager.py` was updated to no longer scaffold out `namespace` strings into new `.toml` files, and `flat_config` now injects the core `project` dictionary segment so the generators can access the internal name.\n\n3. **`MainContext.md` Updated**:\n   - I have updated the markdown file with the latest layout structures and explained that `namespace` is no longer a configurable setting but dynamically determined by the project profile.\n\nYou'll need to restart the application for the GUI layout and DearPyGUI state changes to take effect! Let me know how it looks.",
@@ -133,7 +112,7 @@ history = [
 
 [discussion.discussions."Support multi-viewporting"]
 git_commit = ""
-last_updated = "2026-02-22T08:53:04"
+last_updated = "2026-02-22T17:04:04"
 history = [
     "@2026-02-22T01:13:53\nUser:\nLets port this program to use  https://github.com/pthom/hello_imgui or another imgui package (WEb search if you have to) that will allow us to do Multi-Viewporting (independent OS windows).\nSo far all my attempts to get dearpygui working with native os window multi-viewporting have failed. Which c++ imgui supports. I think there might be a python package that supports this.\n\nWorst case I might have to use a different language that has a dear imgui package with multi-viewporting support that may make ai codegen performance far worse.",
     "@2026-02-22T01:15:32\nAI:\nAlright, I've done extensive research on this. Here's my assessment:\n\n## The Multi-Viewport Situation in Python\n\n### The Problem with DearPyGui\nDearPyGui wraps Dear ImGui but **does not expose the multi-viewport feature** (dragging imgui windows out as independent OS windows). It has its own docking implementation but the C++ multi-viewport backend plumbing was never wired through to Python. You've already discovered this the hard way.\n\n### The Best Option: `imgui-bundle` (pip: `imgui-bundle`)\n\n**This is the package you want.** It's by Pascal Thomet (pthom) and wraps:\n- **Dear ImGui** (docking branch — which includes multi-viewport support)\n- **Hello ImGui** (application framework on top of Dear ImGui)\n- 20+ additional libraries (plots, markdown, node editors, etc.)\n\nKey facts:\n- `pip install imgui-bundle` — binary wheels for Windows/macOS/Linux\n- It tracks Dear ImGui's **docking branch** closely, which is the branch that contains `ImGuiConfigFlags_ViewportsEnable`\n- Full Python bindings with type hints\n- The API uses `imgui.config_flags` to set `ImGuiConfigFlags_ViewportsEnable`, then Dear ImGui handles creating/managing OS windows automatically when you drag an imgui window outside the main viewport\n- Has its own layout/docking system via Hello ImGui's dock spaces\n\n### What the Port Involves\n\nThis is a **massive** rewrite. The entire `gui.py` (2094 lines) and `theme.py` (415 lines) are completely DearPyGui-specific. Every single widget call, every tag system, every callback pattern is different. Here's the mapping:\n\n| DearPyGui | imgui-bundle |\n|---|---|\n| `dpg.add_text(...)` | `imgui.text(...)` |\n| `dpg.add_input_text(tag=..., ...)` | State variable + `imgui.input_text(...)` |\n| `dpg.add_button(label=..., callback=...)` | `if imgui.button(\"label\"): do_thing()` |\n| Tag-based widget identity | Immediate mode — no tags, state lives in your code |\n| `dpg.does_item_exist(tag)` | Not needed — immediate mode |\n| `dpg.configure_item(tag, ...)` | Just change the variable and it renders next frame |\n| `dpg.create_viewport()` + render loop | `hello_imgui.run(gui_func, params)` |\n| `dpg.enable_docking()` | `runner_params.imgui_window_params.enable_viewports = True` |\n| Theme via `dpg.add_theme_color()` | `imgui.push_style_color()` / `imgui.get_style()` |\n\nThe immediate-mode paradigm is actually **simpler** conceptually — no tags, no \"does item exist\" checks, no callback registration. But it means a full rewrite of all rendering code.\n\n### My Recommendation\n\n**Do the port to `imgui-bundle`.** Here's why:\n1. It definitively supports multi-viewporting (the whole point)\n2. The immediate-mode API is actually cleaner and more maintainable\n3. Better AI codegen compatibility (pthom specifically calls this out — readable code)\n4. You stay in Python — no language switch needed\n5. Active maintenance tracking upstream Dear ImGui\n\n### How I'd Structure the Port\n\n1. **Phase 1**: Install `imgui-bundle`, create a minimal proof-of-concept with multi-viewporting enabled (verify it works on your machine)\n2. **Phase 2**: Port `theme.py` → new imgui-bundle theming\n3. **Phase 3**: Port `gui.py` — the big one. Rewrite all panels as immediate-mode rendering functions\n4. **Phase 4**: Wire up the threading/callbacks (confirmation dialogs, background sends, etc.)\n\n**Want me to start with Phase 1 — a minimal proof-of-concept** that creates a window with viewports enabled, a couple of dockable panels, and verifies you can drag a panel out as an independent OS window? That way we confirm the foundation works before committing to the full rewrite.\n\nOr if you want me to just go all-in and start the full port, I can do that too. Your call.",
@@ -147,7 +126,7 @@ history = [
 
 [discussion.discussions."docs writeup"]
 git_commit = "bf2d09f3fd817d64fbf6b4aa667e2b635b6fbc0e"
-last_updated = "2026-02-22T11:08:58"
+last_updated = "2026-02-22T17:04:03"
 history = [
     "@2026-02-22T08:56:39\nUser:\nLets write extensive documentation in the same style that I used for my VEFontCache-Oodin project.\nI added it's directories to your context.",
     "@2026-02-22T08:56:58\nAI:\n(No text returned)",
@@ -158,3 +137,32 @@ history = [
     "@2026-02-22T09:11:01\nUser:\nThe docs aren't detailed enough, the code isn't commented like the vefontcache code is. etc. My docs were straight to the point, in-depth, old school provides extensive insight into what was done.",
     "@2026-02-22T09:17:39\nVendor API:\n[GEMINI QUOTA EXHAUSTED]\n\n429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_paid_tier_input_token_count, limit: 1000000, model: gemini-3.1-pro\\nPlease retry in 20.333361679s.', 'status': 'RESOURCE_EXHAUSTED', 'details': [{'@type': 'type.googleapis.com/google.rpc.Help', 'links': [{'description': 'Learn more about Gemini API quotas', 'url': 'https://ai.google.dev/gemini-api/docs/rate-limits'}]}, {'@type': 'type.googleapis.com/google.rpc.QuotaFailure', 'violations': [{'quotaMetric': 'generativelanguage.googleapis.com/generate_content_paid_tier_input_token_count', 'quotaId': 'GenerateContentPaidTierInputTokensPerModelPerMinute', 'quotaDimensions': {'location': 'global', 'model': 'gemini-3.1-pro'}, 'quotaValue': '1000000'}]}, {'@type': 'type.googleapis.com/google.rpc.RetryInfo', 'retryDelay': '20s'}]}}",
 ]
+
+[discussion.discussions."mutliple project support"]
+git_commit = "3b2da7873f839bf062c06c7539fadd9df7a3e2b9"
+last_updated = "2026-02-22T17:04:45"
+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.",
+    "AI:\nPowerShell is collapsing the string interpolation. I'll write it as a `.py` file instead.",
+    "@2026-02-21T20:41:36\nUser:\nSo I did it with anythingllm frontend instead. \n\nLets update MainContext.md.\n\nSummary of what changed:\n\n- config.toml — now global-only: [ai], [theme], [projects] (paths list + active path). All project data removed.\n- gui.py — App.__init__ — loads global config, then loads the active project .toml via project_manager.load_project(). Falls back to migrate_from_legacy_config() if no valid project file exists.\n- _flush_to_project() / _flush_to_config() — split into two methods. _flush_to_project() writes widget values into self.project (the per-project dict). _flush_to_config() writes global settings ([ai], [theme], [projects]) into self.config.\n- _do_generate() — uses project_manager.flat_config() to produce the dict that aggregate.run() expects, so aggregate.py needs zero changes.\n- Projects panel — new win_projects window with: active project name display, git directory input, scrollable list of project paths (click to switch, x to remove), Add Project / New Project / Save All buttons.\n- Discussion selector — collapsible section inside Discussion History panel with: listbox of named discussions, git commit + last_updated display, Update Commit button, Create/Rename/Delete buttons with a name input field.\n- Timestamps — new entries get ts via project_manager.now_ts(). Displayed next to the role combo in the disc entry list. Round-tripped through entry_to_str/str_to_entry.\n- On exit — run() now saves both project and global config before destroying context, so nothing is lost on clean close.",
+    "@2026-02-21T20:41:37\nVendor API:\nERROR: 'NoneType' object has no attribute 'messages'",
+    "@2026-02-21T20:43:31\nUser:\nYou got an error when attempting to modify the markdown file wth powershell...\n\nScript used:\n```ps1\n[Omitted becuase issue was already resolved]\n```",
+    "@2026-02-21T20:44:45\nAI:\n`MainContext.md` has been successfully updated. Here's a summary of what changed:\n\n**Sections updated:**\n\n1. **Files** — Added `project_manager.py`, `theme.py`, `config.toml` (now described as global-only), `manual_slop.toml` (per-project). Removed the old description of `config.toml` as holding all project data.\n\n2. **GUI Panels** — Added the **Projects** panel description. Updated **Discussion History** to include the discussion selector (collapsible header with listbox, git commit/timestamp display, Update Commit, Create/Rename/Delete), collapse toggle, timestamps, and the `-> History` button descriptions on Message/Response panels.\n\n3. **Project management** — New section describing the split config model, `_flush_to_project()`/`_flush_to_config()`, project switching, and new project creation.\n\n4. **Discussion management** — New section covering named discussions, create/rename/delete/switch, git commit tracking, and timestamps.\n\n5. **Entry serialisation** — New section documenting `entry_to_str`/`str_to_entry` round-trip format with `@timestamp` prefix.\n\n6. **Data flow** — Updated to reflect `self.project`/`self.disc_entries`, the two flush methods, `project_manager.flat_config()` producing the dict for `aggregate.run()`.\n\n7. **Config persistence** — Replaced with the new split model: `config.toml` (global) + `<project>.toml` (per-project), both saved on send/save/exit.\n\n8. **Anthropic bug fixes** — New section documenting the 4 SDK bugs that were fixed.",
+    "@2026-02-21T20:47:42\nUser:\nOk perfect, now update your tool usage with this frontend prompting editor so that its easier for you to make code changes the way you just did with python.\n\nIn ./scripts/generated, just the last 3-4 scripts created to see what I mean.",
+    "@2026-02-21T20:47:45\nAI:\nLet me verify that came out clean:",
+    "@2026-02-21T20:47:54\nUser:\nGo for it! I'll restart it rn...",
+    "@2026-02-21T20:50:05\nUser:\nnope thats all.",
+]
+
+[discussion.discussions.docs]
+git_commit = ""
+last_updated = "2026-02-22T17:16:20"
+history = [
+    "@2026-02-22T17:05:29\nUser:\nUpdate docs with latest state of the codebase files. ai_client.py and aggregate.py both recieved updates.",
+    "@2026-02-22T17:06:43\nVendor API:\n[GEMINI QUOTA EXHAUSTED]\n\n429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'Resource has been exhausted (e.g. check quota).', 'status': 'RESOURCE_EXHAUSTED'}}",
+]