Harden reliability, security, and UX across core modules

- Add thread safety: _anthropic_history_lock and _send_lock in ai_client to prevent concurrent corruption
  - Add _send_thread_lock in gui_2 for atomic check-and-start of send thread
  - Add atexit fallback in session_logger to flush log files on abnormal exit
  - Fix file descriptor leaks: use context managers for urlopen in mcp_client
  - Cap unbounded tool output growth at 500KB per send() call (both Gemini and Anthropic)
  - Harden path traversal: resolve(strict=True) with fallback in mcp_client allowlist checks
  - Add SLOP_CREDENTIALS env var override for credentials.toml with helpful error message
  - Fix Gemini token heuristic: use _CHARS_PER_TOKEN (3.5) instead of hardcoded // 4
  - Add keyboard shortcuts: Ctrl+Enter to send, Ctrl+L to clear message input
  - Add auto-save: flush project and config to disk every 60 seconds

aggregate.py

@@ -164,6 +164,18 @@ def build_markdown_from_items(file_items: list[dict], screenshot_base_dir: Path,
     return "\n\n---\n\n".join(parts)
 
 
+def build_markdown_no_history(file_items: list[dict], screenshot_base_dir: Path, screenshots: list[str], summary_only: bool = False) -> str:
+    """Build markdown with only files + screenshots (no history). Used for stable caching."""
+    return build_markdown_from_items(file_items, screenshot_base_dir, screenshots, history=[], summary_only=summary_only)
+
+
+def build_discussion_text(history: list[str]) -> str:
+    """Build just the discussion history section text. Returns empty string if no history."""
+    if not history:
+        return ""
+    return "## Discussion History\n\n" + build_discussion_section(history)
+
+
 def build_markdown(base_dir: Path, files: list[str], screenshot_base_dir: Path, screenshots: list[str], history: list[str], summary_only: bool = False) -> str:
     parts = []
     # STATIC PREFIX: Files and Screenshots must go first to maximize Cache Hits
@@ -195,8 +207,9 @@ def run(config: dict) -> tuple[str, Path, list[dict]]:
     output_file = output_dir / f"{namespace}_{increment:03d}.md"
     # Build file items once, then construct markdown from them (avoids double I/O)
     file_items = build_file_items(base_dir, files)
+    summary_only = config.get("project", {}).get("summary_only", False)
     markdown = build_markdown_from_items(file_items, screenshot_base_dir, screenshots, history,
-                                         summary_only=False)
+                                         summary_only=summary_only)
     output_file.write_text(markdown, encoding="utf-8")
     return markdown, output_file, file_items
 

ai_client.py

@@ -15,9 +15,17 @@ import tomllib
 import json
 import time
 import datetime
+import hashlib
+import difflib
+import threading
 from pathlib import Path
+import os
 import file_cache
 import mcp_client
+import anthropic
+from google import genai
+from google.genai import types
+from events import EventEmitter
 
 _provider: str = "gemini"
 _model: str = "gemini-2.5-flash"
@@ -26,6 +34,9 @@ _max_tokens: int = 8192
 
 _history_trunc_limit: int = 8000
 
+# Global event emitter for API lifecycle events
+events = EventEmitter()
+
 def set_model_params(temp: float, max_tok: int, trunc_limit: int = 8000):
     global _temperature, _max_tokens, _history_trunc_limit
     _temperature = temp
@@ -44,6 +55,8 @@ _GEMINI_CACHE_TTL = 3600
 
 _anthropic_client = None
 _anthropic_history: list[dict] = []
+_anthropic_history_lock = threading.Lock()
+_send_lock = threading.Lock()
 
 # Injected by gui.py - called when AI wants to run a command.
 # Signature: (script: str, base_dir: str) -> str | None
@@ -60,6 +73,10 @@ tool_log_callback = None
 # Increased to allow thorough code exploration before forcing a summary
 MAX_TOOL_ROUNDS = 10
 
+# Maximum cumulative bytes of tool output allowed per send() call.
+# Prevents unbounded memory growth during long tool-calling loops.
+_MAX_TOOL_OUTPUT_BYTES = 500_000
+
 # Maximum characters per text chunk sent to Anthropic.
 # Kept well under the ~200k token API limit.
 _ANTHROPIC_CHUNK_SIZE = 120_000
@@ -121,8 +138,18 @@ def clear_comms_log():
 
 
 def _load_credentials() -> dict:
-    with open("credentials.toml", "rb") as f:
+    cred_path = os.environ.get("SLOP_CREDENTIALS", "credentials.toml")
-        return tomllib.load(f)
+    try:
+        with open(cred_path, "rb") as f:
+            return tomllib.load(f)
+    except FileNotFoundError:
+        raise FileNotFoundError(
+            f"Credentials file not found: {cred_path}\n"
+            f"Create a credentials.toml with:\n"
+            f"  [gemini]\n  api_key = \"your-key\"\n"
+            f"  [anthropic]\n  api_key = \"your-key\"\n"
+            f"Or set SLOP_CREDENTIALS env var to a custom path."
+        )
 
 
 # ------------------------------------------------------------------ provider errors
@@ -149,7 +176,7 @@ class ProviderError(Exception):
 
 def _classify_anthropic_error(exc: Exception) -> ProviderError:
     try:
-        import anthropic
+
         if isinstance(exc, anthropic.RateLimitError):
             return ProviderError("rate_limit", "anthropic", exc)
         if isinstance(exc, anthropic.AuthenticationError):
@@ -237,10 +264,27 @@ def reset_session():
     _gemini_cache_md_hash = None
     _gemini_cache_created_at = None
     _anthropic_client = None
-    _anthropic_history = []
+    with _anthropic_history_lock:
+        _anthropic_history = []
     _CACHED_ANTHROPIC_TOOLS = None
     file_cache.reset_client()
 
+def get_gemini_cache_stats() -> dict:
+    """
+    Retrieves statistics about the Gemini caches, such as count and total size.
+    """
+    _ensure_gemini_client()
+
+    
+    caches_iterator = _gemini_client.caches.list()
+    caches = list(caches_iterator)
+    
+    total_size_bytes = sum(c.size_bytes for c in caches)
+    
+    return {
+        "cache_count": len(list(caches)),
+        "total_size_bytes": total_size_bytes,
+    }
 
 # ------------------------------------------------------------------ model listing
 
@@ -254,7 +298,7 @@ def list_models(provider: str) -> list[str]:
 
 
 def _list_gemini_models(api_key: str) -> list[str]:
-    from google import genai
+
     try:
         client = genai.Client(api_key=api_key)
         models = []
@@ -270,7 +314,7 @@ def _list_gemini_models(api_key: str) -> list[str]:
 
 
 def _list_anthropic_models() -> list[str]:
-    import anthropic
+
     try:
         creds = _load_credentials()
         client = anthropic.Anthropic(api_key=creds["anthropic"]["api_key"])
@@ -286,37 +330,53 @@ def _list_anthropic_models() -> list[str]:
 
 TOOL_NAME = "run_powershell"
 
+_agent_tools: dict = {}
+
+def set_agent_tools(tools: dict):
+    global _agent_tools, _CACHED_ANTHROPIC_TOOLS
+    _agent_tools = tools
+    _CACHED_ANTHROPIC_TOOLS = None
+
 def _build_anthropic_tools() -> list[dict]:
     """Build the full Anthropic tools list: run_powershell + MCP file tools."""
     mcp_tools = []
     for spec in mcp_client.MCP_TOOL_SPECS:
-        mcp_tools.append({
+        if _agent_tools.get(spec["name"], True):
-            "name":        spec["name"],
+            mcp_tools.append({
-            "description": spec["description"],
+                "name":        spec["name"],
-            "input_schema": spec["parameters"],
+                "description": spec["description"],
-        })
+                "input_schema": spec["parameters"],
-    powershell_tool = {
+            })
-        "name": TOOL_NAME,
+    
-        "description": (
+    tools_list = mcp_tools
-            "Run a PowerShell script within the project base_dir. "
+    if _agent_tools.get(TOOL_NAME, True):
-            "Use this to create, edit, rename, or delete files and directories. "
+        powershell_tool = {
-            "The working directory is set to base_dir automatically. "
+            "name": TOOL_NAME,
-            "Always prefer targeted edits over full rewrites where possible. "
+            "description": (
-            "stdout and stderr are returned to you as the result."
+                "Run a PowerShell script within the project base_dir. "
-        ),
+                "Use this to create, edit, rename, or delete files and directories. "
-        "input_schema": {
+                "The working directory is set to base_dir automatically. "
-            "type": "object",
+                "Always prefer targeted edits over full rewrites where possible. "
-            "properties": {
+                "stdout and stderr are returned to you as the result."
-                "script": {
+            ),
-                    "type": "string",
+            "input_schema": {
-                    "description": "The PowerShell script to execute."
+                "type": "object",
-                }
+                "properties": {
+                    "script": {
+                        "type": "string",
+                        "description": "The PowerShell script to execute."
+                    }
+                },
+                "required": ["script"]
             },
-            "required": ["script"]
+            "cache_control": {"type": "ephemeral"},
-        },
+        }
-        "cache_control": {"type": "ephemeral"},
+        tools_list.append(powershell_tool)
-    }
+    elif tools_list:
-    return mcp_tools + [powershell_tool]
+        # Anthropic requires the LAST tool to have cache_control for the prefix caching to work optimally on tools
+        tools_list[-1]["cache_control"] = {"type": "ephemeral"}
+        
+    return tools_list
 
 
 _ANTHROPIC_TOOLS = _build_anthropic_tools()
@@ -332,16 +392,20 @@ def _get_anthropic_tools() -> list[dict]:
 
 
 def _gemini_tool_declaration():
-    from google.genai import types
+
 
     declarations = []
 
     # MCP file tools
     for spec in mcp_client.MCP_TOOL_SPECS:
+        if not _agent_tools.get(spec["name"], True):
+            continue
         props = {}
         for pname, pdef in spec["parameters"].get("properties", {}).items():
+            ptype_str = pdef.get("type", "string").upper()
+            ptype = getattr(types.Type, ptype_str, types.Type.STRING)
             props[pname] = types.Schema(
-                type=types.Type.STRING,
+                type=ptype,
                 description=pdef.get("description", ""),
             )
         declarations.append(types.FunctionDeclaration(
@@ -355,27 +419,28 @@ def _gemini_tool_declaration():
         ))
 
     # PowerShell tool
-    declarations.append(types.FunctionDeclaration(
+    if _agent_tools.get(TOOL_NAME, True):
-        name=TOOL_NAME,
+        declarations.append(types.FunctionDeclaration(
-        description=(
+            name=TOOL_NAME,
-            "Run a PowerShell script within the project base_dir. "
+            description=(
-            "Use this to create, edit, rename, or delete files and directories. "
+                "Run a PowerShell script within the project base_dir. "
-            "The working directory is set to base_dir automatically. "
+                "Use this to create, edit, rename, or delete files and directories. "
-            "stdout and stderr are returned to you as the result."
+                "The working directory is set to base_dir automatically. "
-        ),
+                "stdout and stderr are returned to you as the result."
-        parameters=types.Schema(
+            ),
-            type=types.Type.OBJECT,
+            parameters=types.Schema(
-            properties={
+                type=types.Type.OBJECT,
-                "script": types.Schema(
+                properties={
-                    type=types.Type.STRING,
+                    "script": types.Schema(
-                    description="The PowerShell script to execute."
+                        type=types.Type.STRING,
-                )
+                        description="The PowerShell script to execute."
-            },
+                    )
-            required=["script"]
+                },
-        ),
+                required=["script"]
-    ))
+            ),
+        ))
 
-    return types.Tool(function_declarations=declarations)
+    return types.Tool(function_declarations=declarations) if declarations else None
 
 
 def _run_script(script: str, base_dir: str) -> str:
@@ -391,6 +456,13 @@ def _run_script(script: str, base_dir: str) -> str:
     return output
 
 
+def _truncate_tool_output(output: str) -> str:
+    """Truncate tool output to _history_trunc_limit chars before sending to API."""
+    if _history_trunc_limit > 0 and len(output) > _history_trunc_limit:
+        return output[:_history_trunc_limit] + "\n\n... [TRUNCATED BY SYSTEM TO SAVE TOKENS.]"
+    return output
+
+
 # ------------------------------------------------------------------ dynamic file context refresh
 
 def _reread_file_items(file_items: list[dict]) -> tuple[list[dict], list[dict]]:
@@ -416,7 +488,7 @@ def _reread_file_items(file_items: list[dict]) -> tuple[list[dict], list[dict]]:
                 refreshed.append(item)  # unchanged — skip re-read
                 continue
             content = p.read_text(encoding="utf-8")
-            new_item = {**item, "content": content, "error": False, "mtime": current_mtime}
+            new_item = {**item, "old_content": item.get("content", ""), "content": content, "error": False, "mtime": current_mtime}
             refreshed.append(new_item)
             changed.append(new_item)
         except Exception as e:
@@ -442,6 +514,35 @@ def _build_file_context_text(file_items: list[dict]) -> str:
     return "\n\n---\n\n".join(parts)
 
 
+_DIFF_LINE_THRESHOLD = 200
+
+def _build_file_diff_text(changed_items: list[dict]) -> str:
+    """
+    Build text for changed files. Small files (<= _DIFF_LINE_THRESHOLD lines)
+    get full content; large files get a unified diff against old_content.
+    """
+    if not changed_items:
+        return ""
+    parts = []
+    for item in changed_items:
+        path = item.get("path") or item.get("entry", "unknown")
+        content = item.get("content", "")
+        old_content = item.get("old_content", "")
+        new_lines = content.splitlines(keepends=True)
+        if len(new_lines) <= _DIFF_LINE_THRESHOLD or not old_content:
+            suffix = str(path).rsplit(".", 1)[-1] if "." in str(path) else "text"
+            parts.append(f"### `{path}` (full)\n\n```{suffix}\n{content}\n```")
+        else:
+            old_lines = old_content.splitlines(keepends=True)
+            diff = difflib.unified_diff(old_lines, new_lines, fromfile=str(path), tofile=str(path), lineterm="")
+            diff_text = "\n".join(diff)
+            if diff_text:
+                parts.append(f"### `{path}` (diff)\n\n```diff\n{diff_text}\n```")
+            else:
+                parts.append(f"### `{path}` (no changes detected)")
+    return "\n\n---\n\n".join(parts)
+
+
 # ------------------------------------------------------------------ content block serialisation
 
 def _content_block_to_dict(block) -> dict:
@@ -470,7 +571,6 @@ def _content_block_to_dict(block) -> dict:
 def _ensure_gemini_client():
     global _gemini_client
     if _gemini_client is None:
-        from google import genai
         creds = _load_credentials()
         _gemini_client = genai.Client(api_key=creds["gemini"]["api_key"])
 
@@ -487,22 +587,26 @@ def _get_gemini_history_list(chat):
         return chat.get_history()
     return []
 
-def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items: list[dict] | None = None) -> str:
+def _send_gemini(md_content: str, user_message: str, base_dir: str,
+                 file_items: list[dict] | None = None,
+                 discussion_history: str = "") -> str:
     global _gemini_chat, _gemini_cache, _gemini_cache_md_hash, _gemini_cache_created_at
-    from google.genai import types
+
     try:
         _ensure_gemini_client(); mcp_client.configure(file_items or [], [base_dir])
+        # Only stable content (files + screenshots) goes in the cached system instruction.
+        # Discussion history is sent as conversation messages so the cache isn't invalidated every turn.
         sys_instr = f"{_get_combined_system_prompt()}\n\n<context>\n{md_content}\n</context>"
         tools_decl = [_gemini_tool_declaration()]
 
         # DYNAMIC CONTEXT: Check if files/context changed mid-session
-        current_md_hash = hash(md_content)
+        current_md_hash = hashlib.md5(md_content.encode()).hexdigest()
         old_history = None
         if _gemini_chat and _gemini_cache_md_hash != current_md_hash:
             old_history = list(_get_gemini_history_list(_gemini_chat)) if _get_gemini_history_list(_gemini_chat) else []
             if _gemini_cache:
                 try: _gemini_client.caches.delete(name=_gemini_cache.name)
-                except: pass
+                except Exception as e: _append_comms("OUT", "request", {"message": f"[CACHE DELETE WARN] {e}"})
             _gemini_chat = None
             _gemini_cache = None
             _gemini_cache_created_at = None
@@ -515,7 +619,7 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
             if elapsed > _GEMINI_CACHE_TTL * 0.9:
                 old_history = list(_get_gemini_history_list(_gemini_chat)) if _get_gemini_history_list(_gemini_chat) else []
                 try: _gemini_client.caches.delete(name=_gemini_cache.name)
-                except: pass
+                except Exception as e: _append_comms("OUT", "request", {"message": f"[CACHE DELETE WARN] {e}"})
                 _gemini_chat = None
                 _gemini_cache = None
                 _gemini_cache_created_at = None
@@ -558,9 +662,16 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
 
             _gemini_chat = _gemini_client.chats.create(**kwargs)
             _gemini_cache_md_hash = current_md_hash
-        
+
+            # Inject discussion history as a user message on first chat creation
+            # (only when there's no old_history being restored, i.e., fresh session)
+            if discussion_history and not old_history:
+                _gemini_chat.send_message(f"[DISCUSSION HISTORY]\n\n{discussion_history}")
+                _append_comms("OUT", "request", {"message": f"[HISTORY INJECTED] {len(discussion_history)} chars"})
+
         _append_comms("OUT", "request", {"message": f"[ctx {len(md_content)} + msg {len(user_message)}]"})
         payload, all_text = user_message, []
+        _cumulative_tool_bytes = 0
 
         # Strip stale file refreshes and truncate old tool outputs ONCE before
         # entering the tool loop (not per-round — history entries don't change).
@@ -580,6 +691,7 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
                                     r["output"] = val
 
         for r_idx in range(MAX_TOOL_ROUNDS + 2):
+            events.emit("request_start", payload={"provider": "gemini", "model": _model, "round": r_idx})
             resp = _gemini_chat.send_message(payload)
             txt = "\n".join(p.text for c in resp.candidates if getattr(c, "content", None) for p in c.content.parts if hasattr(p, "text") and p.text)
             if txt: all_text.append(txt)
@@ -589,28 +701,31 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
             cached_tokens = getattr(resp.usage_metadata, "cached_content_token_count", None)
             if cached_tokens:
                 usage["cache_read_input_tokens"] = cached_tokens
+
+            events.emit("response_received", payload={"provider": "gemini", "model": _model, "usage": usage, "round": r_idx})
+            
             reason = resp.candidates[0].finish_reason.name if resp.candidates and hasattr(resp.candidates[0], "finish_reason") else "STOP"
             
             _append_comms("IN", "response", {"round": r_idx, "stop_reason": reason, "text": txt, "tool_calls": [{"name": c.name, "args": dict(c.args)} for c in calls], "usage": usage})
             
-            # Guard: if Gemini reports input tokens approaching the limit, drop oldest history pairs
+            # Guard: proactively trim history when input tokens exceed 40% of limit
             total_in = usage.get("input_tokens", 0)
-            if total_in > _GEMINI_MAX_INPUT_TOKENS and _gemini_chat and _get_gemini_history_list(_gemini_chat):
+            if total_in > _GEMINI_MAX_INPUT_TOKENS * 0.4 and _gemini_chat and _get_gemini_history_list(_gemini_chat):
                 hist = _get_gemini_history_list(_gemini_chat)
                 dropped = 0
                 # Drop oldest pairs (user+model) but keep at least the last 2 entries
-                while len(hist) > 4 and total_in > _GEMINI_MAX_INPUT_TOKENS * 0.7:
+                while len(hist) > 4 and total_in > _GEMINI_MAX_INPUT_TOKENS * 0.3:
                     # Drop in pairs (user + model) to maintain alternating roles required by Gemini
                     saved = 0
                     for _ in range(2):
                         if not hist: break
                         for p in hist[0].parts:
                             if hasattr(p, "text") and p.text:
-                                saved += len(p.text) // 4
+                                saved += int(len(p.text) / _CHARS_PER_TOKEN)
                             elif hasattr(p, "function_response") and p.function_response:
                                 r = getattr(p.function_response, "response", {})
                                 if isinstance(r, dict):
-                                    saved += len(str(r.get("output", ""))) // 4
+                                    saved += int(len(str(r.get("output", ""))) / _CHARS_PER_TOKEN)
                         hist.pop(0)
                         dropped += 1
                     total_in -= max(saved, 200)
@@ -622,6 +737,7 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
             f_resps, log = [], []
             for i, fc in enumerate(calls):
                 name, args = fc.name, dict(fc.args)
+                events.emit("tool_execution", payload={"status": "started", "tool": name, "args": args, "round": r_idx})
                 if name in mcp_client.TOOL_NAMES:
                     _append_comms("OUT", "tool_call", {"name": name, "args": args})
                     out = mcp_client.dispatch(name, args)
@@ -634,14 +750,23 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
                 if i == len(calls) - 1:
                     if file_items:
                         file_items, changed = _reread_file_items(file_items)
-                        ctx = _build_file_context_text(changed)
+                        ctx = _build_file_diff_text(changed)
                         if ctx:
                             out += f"\n\n[SYSTEM: FILES UPDATED]\n\n{ctx}"
                     if r_idx == MAX_TOOL_ROUNDS: out += "\n\n[SYSTEM: MAX ROUNDS. PROVIDE FINAL ANSWER.]"
 
+                out = _truncate_tool_output(out)
+                _cumulative_tool_bytes += len(out)
                 f_resps.append(types.Part.from_function_response(name=name, response={"output": out}))
                 log.append({"tool_use_id": name, "content": out})
-            
+                events.emit("tool_execution", payload={"status": "completed", "tool": name, "result": out, "round": r_idx})
+
+            if _cumulative_tool_bytes > _MAX_TOOL_OUTPUT_BYTES:
+                f_resps.append(types.Part.from_text(
+                    f"SYSTEM WARNING: Cumulative tool output exceeded {_MAX_TOOL_OUTPUT_BYTES // 1000}KB budget. Provide your final answer now."
+                ))
+                _append_comms("OUT", "request", {"message": f"[TOOL OUTPUT BUDGET EXCEEDED: {_cumulative_tool_bytes} bytes]"})
+
             _append_comms("OUT", "tool_result_send", {"results": log})
             payload = f_resps
             
@@ -803,9 +928,12 @@ def _trim_anthropic_history(system_blocks: list[dict], history: list[dict]):
 def _ensure_anthropic_client():
     global _anthropic_client
     if _anthropic_client is None:
-        import anthropic
         creds = _load_credentials()
-        _anthropic_client = anthropic.Anthropic(api_key=creds["anthropic"]["api_key"])
+        # Enable prompt caching beta
+        _anthropic_client = anthropic.Anthropic(
+            api_key=creds["anthropic"]["api_key"],
+            default_headers={"anthropic-beta": "prompt-caching-2024-07-31"}
+        )
 
 
 def _chunk_text(text: str, chunk_size: int) -> list[str]:
@@ -896,7 +1024,7 @@ def _repair_anthropic_history(history: list[dict]):
     })
 
 
-def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_items: list[dict] | None = None) -> str:
+def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_items: list[dict] | None = None, discussion_history: str = "") -> str:
     try:
         _ensure_anthropic_client()
         mcp_client.configure(file_items or [], [base_dir])
@@ -910,7 +1038,11 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
         context_blocks = _build_chunked_context_blocks(context_text)
         system_blocks = stable_blocks + context_blocks
 
-        user_content = [{"type": "text", "text": user_message}]
+        # Prepend discussion history to the first user message if this is a fresh session
+        if discussion_history and not _anthropic_history:
+            user_content = [{"type": "text", "text": f"[DISCUSSION HISTORY]\n\n{discussion_history}\n\n---\n\n{user_message}"}]
+        else:
+            user_content = [{"type": "text", "text": user_message}]
 
         # COMPRESS HISTORY: Truncate massive tool outputs from previous turns
         for msg in _anthropic_history:
@@ -941,6 +1073,7 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
         })
 
         all_text_parts = []
+        _cumulative_tool_bytes = 0
 
         # We allow MAX_TOOL_ROUNDS, plus 1 final loop to get the text synthesis
         for round_idx in range(MAX_TOOL_ROUNDS + 2):
@@ -958,6 +1091,7 @@ 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]
 
+            events.emit("request_start", payload={"provider": "anthropic", "model": _model, "round": round_idx})
             response = _anthropic_client.messages.create(
                 model=_model,
                 max_tokens=_max_tokens,
@@ -996,6 +1130,8 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
                 if cache_read is not None:
                     usage_dict["cache_read_input_tokens"] = cache_read
 
+            events.emit("response_received", payload={"provider": "anthropic", "model": _model, "usage": usage_dict, "round": round_idx})
+
             _append_comms("IN", "response", {
                 "round":       round_idx,
                 "stop_reason": response.stop_reason,
@@ -1019,15 +1155,19 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
                 b_name = getattr(block, "name", None)
                 b_id   = getattr(block, "id",   "")
                 b_input = getattr(block, "input", {})
+                events.emit("tool_execution", payload={"status": "started", "tool": b_name, "args": b_input, "round": round_idx})
                 if b_name in mcp_client.TOOL_NAMES:
                     _append_comms("OUT", "tool_call", {"name": b_name, "id": b_id, "args": b_input})
                     output = mcp_client.dispatch(b_name, b_input)
                     _append_comms("IN", "tool_result", {"name": b_name, "id": b_id, "output": output})
+                    truncated = _truncate_tool_output(output)
+                    _cumulative_tool_bytes += len(truncated)
                     tool_results.append({
                         "type":        "tool_result",
                         "tool_use_id": b_id,
-                        "content":     output,
+                        "content":     truncated,
                     })
+                    events.emit("tool_execution", payload={"status": "completed", "tool": b_name, "result": output, "round": round_idx})
                 elif b_name == TOOL_NAME:
                     script = b_input.get("script", "")
                     _append_comms("OUT", "tool_call", {
@@ -1041,16 +1181,26 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
                         "id":     b_id,
                         "output": output,
                     })
+                    truncated = _truncate_tool_output(output)
+                    _cumulative_tool_bytes += len(truncated)
                     tool_results.append({
                         "type":        "tool_result",
                         "tool_use_id": b_id,
-                        "content":     output,
+                        "content":     truncated,
                     })
+                    events.emit("tool_execution", payload={"status": "completed", "tool": b_name, "result": output, "round": round_idx})
+
+            if _cumulative_tool_bytes > _MAX_TOOL_OUTPUT_BYTES:
+                tool_results.append({
+                    "type": "text",
+                    "text": f"SYSTEM WARNING: Cumulative tool output exceeded {_MAX_TOOL_OUTPUT_BYTES // 1000}KB budget. Provide your final answer now."
+                })
+                _append_comms("OUT", "request", {"message": f"[TOOL OUTPUT BUDGET EXCEEDED: {_cumulative_tool_bytes} bytes]"})
 
             # Refresh file context after tool calls — only inject CHANGED files
             if file_items:
                 file_items, changed = _reread_file_items(file_items)
-                refreshed_ctx = _build_file_context_text(changed)
+                refreshed_ctx = _build_file_diff_text(changed)
                 if refreshed_ctx:
                     tool_results.append({
                         "type": "text",
@@ -1095,18 +1245,77 @@ def send(
     user_message: str,
     base_dir: str = ".",
     file_items: list[dict] | None = None,
+    discussion_history: str = "",
 ) -> str:
     """
     Send a message to the active provider.
 
-    md_content  : aggregated markdown string from aggregate.run()
+    md_content         : aggregated markdown string (for Gemini: stable content only,
-    user_message: the user question / instruction
+                         for Anthropic: full content including history)
-    base_dir    : project base directory (for PowerShell tool calls)
+    user_message       : the user question / instruction
-    file_items  : list of file dicts from aggregate.build_file_items() for
+    base_dir           : project base directory (for PowerShell tool calls)
-                  dynamic context refresh after tool calls
+    file_items         : list of file dicts from aggregate.build_file_items() for
+                         dynamic context refresh after tool calls
+    discussion_history : discussion history text (used by Gemini to inject as
+                         conversation message instead of caching it)
     """
-    if _provider == "gemini":
+    with _send_lock:
-        return _send_gemini(md_content, user_message, base_dir, file_items)
+        if _provider == "gemini":
-    elif _provider == "anthropic":
+            return _send_gemini(md_content, user_message, base_dir, file_items, discussion_history)
-        return _send_anthropic(md_content, user_message, base_dir, file_items)
+        elif _provider == "anthropic":
-    raise ValueError(f"unknown provider: {_provider}")
+            return _send_anthropic(md_content, user_message, base_dir, file_items, discussion_history)
+        raise ValueError(f"unknown provider: {_provider}")
+
+def get_history_bleed_stats() -> dict:
+    """
+    Calculates how close the current conversation history is to the token limit.
+    """
+    if _provider == "anthropic":
+        # For Anthropic, we have a robust estimator
+        with _anthropic_history_lock:
+            history_snapshot = list(_anthropic_history)
+        current_tokens = _estimate_prompt_tokens([], history_snapshot)
+        limit_tokens = _ANTHROPIC_MAX_PROMPT_TOKENS
+        percentage = (current_tokens / limit_tokens) * 100 if limit_tokens > 0 else 0
+        return {
+            "provider": "anthropic",
+            "limit": limit_tokens,
+            "current": current_tokens,
+            "percentage": percentage,
+        }
+    elif _provider == "gemini":
+        if _gemini_chat:
+            try:
+                _ensure_gemini_client()
+                history = _get_gemini_history_list(_gemini_chat)
+                if history:
+                    resp = _gemini_client.models.count_tokens(
+                        model=_model,
+                        contents=history
+                    )
+                    current_tokens = resp.total_tokens
+                    limit_tokens = _GEMINI_MAX_INPUT_TOKENS
+                    percentage = (current_tokens / limit_tokens) * 100 if limit_tokens > 0 else 0
+                    return {
+                        "provider": "gemini",
+                        "limit": limit_tokens,
+                        "current": current_tokens,
+                        "percentage": percentage,
+                    }
+            except Exception:
+                pass
+        
+        return {
+            "provider": "gemini",
+            "limit": _GEMINI_MAX_INPUT_TOKENS,
+            "current": 0,
+            "percentage": 0,
+        }
+    
+    # Default empty state
+    return {
+        "provider": _provider,
+        "limit": 0,
+        "current": 0,
+        "percentage": 0,
+    }

api_hook_client.py

@@ -0,0 +1,85 @@
+import requests
+import json
+import time
+
+class ApiHookClient:
+    def __init__(self, base_url="http://127.0.0.1:8999", max_retries=3, retry_delay=1):
+        self.base_url = base_url
+        self.max_retries = max_retries
+        self.retry_delay = retry_delay
+
+    def wait_for_server(self, timeout=10):
+        """
+        Polls the /status endpoint until the server is ready or timeout is reached.
+        """
+        start_time = time.time()
+        while time.time() - start_time < timeout:
+            try:
+                if self.get_status().get('status') == 'ok':
+                    return True
+            except (requests.exceptions.ConnectionError, requests.exceptions.Timeout):
+                time.sleep(0.5)
+        return False
+
+    def _make_request(self, method, endpoint, data=None):
+        url = f"{self.base_url}{endpoint}"
+        headers = {'Content-Type': 'application/json'}
+        
+        last_exception = None
+        for attempt in range(self.max_retries + 1):
+            try:
+                if method == 'GET':
+                    response = requests.get(url, timeout=2)
+                elif method == 'POST':
+                    response = requests.post(url, json=data, headers=headers, timeout=2)
+                else:
+                    raise ValueError(f"Unsupported HTTP method: {method}")
+                
+                response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx)
+                return response.json()
+            except (requests.exceptions.Timeout, requests.exceptions.ConnectionError) as e:
+                last_exception = e
+                if attempt < self.max_retries:
+                    time.sleep(self.retry_delay)
+                    continue
+                else:
+                    if isinstance(e, requests.exceptions.Timeout):
+                        raise requests.exceptions.Timeout(f"Request to {endpoint} timed out after {self.max_retries} retries.") from e
+                    else:
+                        raise requests.exceptions.ConnectionError(f"Could not connect to API hook server at {self.base_url} after {self.max_retries} retries.") from e
+            except requests.exceptions.HTTPError as e:
+                raise requests.exceptions.HTTPError(f"HTTP error {e.response.status_code} for {endpoint}: {e.response.text}") from e
+            except json.JSONDecodeError as e:
+                raise ValueError(f"Failed to decode JSON from response for {endpoint}: {response.text}") from e
+        
+        if last_exception:
+            raise last_exception
+
+    def get_status(self):
+        """Checks the health of the hook server."""
+        url = f"{self.base_url}/status"
+        try:
+            response = requests.get(url, timeout=1)
+            response.raise_for_status()
+            return response.json()
+        except Exception:
+            raise requests.exceptions.ConnectionError(f"Could not reach /status at {self.base_url}")
+
+    def get_project(self):
+        return self._make_request('GET', '/api/project')
+
+    def post_project(self, project_data):
+        return self._make_request('POST', '/api/project', data={'project': project_data})
+
+    def get_session(self):
+        return self._make_request('GET', '/api/session')
+
+    def get_performance(self):
+        """Retrieves UI performance metrics."""
+        return self._make_request('GET', '/api/performance')
+
+    def post_session(self, session_entries):
+        return self._make_request('POST', '/api/session', data={'session': {'entries': session_entries}})
+
+    def post_gui(self, gui_data):
+        return self._make_request('POST', '/api/gui', data=gui_data)

api_hooks.py

@@ -0,0 +1,119 @@
+import json
+import threading
+from http.server import HTTPServer, BaseHTTPRequestHandler
+import logging
+import session_logger
+
+class HookServerInstance(HTTPServer):
+    """Custom HTTPServer that carries a reference to the main App instance."""
+    def __init__(self, server_address, RequestHandlerClass, app):
+        super().__init__(server_address, RequestHandlerClass)
+        self.app = app
+
+class HookHandler(BaseHTTPRequestHandler):
+    """Handles incoming HTTP requests for the API hooks."""
+    def do_GET(self):
+        app = self.server.app
+        session_logger.log_api_hook("GET", self.path, "")
+        if self.path == '/status':
+            self.send_response(200)
+            self.send_header('Content-Type', 'application/json')
+            self.end_headers()
+            self.wfile.write(json.dumps({'status': 'ok'}).encode('utf-8'))
+        elif self.path == '/api/project':
+            self.send_response(200)
+            self.send_header('Content-Type', 'application/json')
+            self.end_headers()
+            self.wfile.write(
+                json.dumps({'project': app.project}).encode('utf-8'))
+        elif self.path == '/api/session':
+            self.send_response(200)
+            self.send_header('Content-Type', 'application/json')
+            self.end_headers()
+            self.wfile.write(
+                json.dumps({'session': {'entries': app.disc_entries}}).
+                encode('utf-8'))
+        elif self.path == '/api/performance':
+            self.send_response(200)
+            self.send_header('Content-Type', 'application/json')
+            self.end_headers()
+            metrics = {}
+            if hasattr(app, 'perf_monitor'):
+                metrics = app.perf_monitor.get_metrics()
+            self.wfile.write(json.dumps({'performance': metrics}).encode('utf-8'))
+        else:
+            self.send_response(404)
+            self.end_headers()
+
+    def do_POST(self):
+        app = self.server.app
+        content_length = int(self.headers.get('Content-Length', 0))
+        body = self.rfile.read(content_length)
+        body_str = body.decode('utf-8') if body else ""
+        session_logger.log_api_hook("POST", self.path, body_str)
+        
+        try:
+            data = json.loads(body_str) if body_str else {}
+            if self.path == '/api/project':
+                app.project = data.get('project', app.project)
+                self.send_response(200)
+                self.send_header('Content-Type', 'application/json')
+                self.end_headers()
+                self.wfile.write(
+                    json.dumps({'status': 'updated'}).encode('utf-8'))
+            elif self.path == '/api/session':
+                app.disc_entries = data.get('session', {}).get(
+                    'entries', app.disc_entries)
+                self.send_response(200)
+                self.send_header('Content-Type', 'application/json')
+                self.end_headers()
+                self.wfile.write(
+                    json.dumps({'status': 'updated'}).encode('utf-8'))
+            elif self.path == '/api/gui':
+                if not hasattr(app, '_pending_gui_tasks'):
+                    app._pending_gui_tasks = []
+                if not hasattr(app, '_pending_gui_tasks_lock'):
+                    app._pending_gui_tasks_lock = threading.Lock()
+                    
+                with app._pending_gui_tasks_lock:
+                    app._pending_gui_tasks.append(data)
+                    
+                self.send_response(200)
+                self.send_header('Content-Type', 'application/json')
+                self.end_headers()
+                self.wfile.write(
+                    json.dumps({'status': 'queued'}).encode('utf-8'))
+            else:
+                self.send_response(404)
+                self.end_headers()
+        except Exception as e:
+            self.send_response(500)
+            self.send_header('Content-Type', 'application/json')
+            self.end_headers()
+            self.wfile.write(json.dumps({'error': str(e)}).encode('utf-8'))
+
+    def log_message(self, format, *args):
+        logging.info("Hook API: " + format % args)
+
+class HookServer:
+    def __init__(self, app, port=8999):
+        self.app = app
+        self.port = port
+        self.server = None
+        self.thread = None
+
+    def start(self):
+        if not getattr(self.app, 'test_hooks_enabled', False):
+            return
+        self.server = HookServerInstance(('127.0.0.1', self.port), HookHandler, self.app)
+        self.thread = threading.Thread(target=self.server.serve_forever, daemon=True)
+        self.thread.start()
+        logging.info(f"Hook server started on port {self.port}")
+
+    def stop(self):
+        if self.server:
+            self.server.shutdown()
+            self.server.server_close()
+            if self.thread:
+                self.thread.join()
+            logging.info("Hook server stopped")

conductor/archive/api_hooks_verification_20260223/index.md

@@ -0,0 +1,5 @@
+# Track api_hooks_verification_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/api_hooks_verification_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "api_hooks_verification_20260223",
+  "type": "feature",
+  "status": "new",
+  "created_at": "2026-02-23T17:46:51Z",
+  "updated_at": "2026-02-23T17:46:51Z",
+  "description": "Update conductor to properly utilize the new api hooks for automated testing & verification of track implementation features without the need of user intervention."
+}

conductor/archive/api_hooks_verification_20260223/plan.md

@@ -0,0 +1,19 @@
+# Implementation Plan: Integrate API Hooks for Automated Track Verification
+
+## Phase 1: Update Workflow Definition [checkpoint: f17c9e3]
+- [x] Task: Modify `conductor/workflow.md` to reflect the new automated verification process. [2ec1ecf]
+    - [ ] Sub-task: Update the "Phase Completion Verification and Checkpointing Protocol" section to replace manual verification steps with a description of the automated API hook process.
+    - [ ] Sub-task: Ensure the updated workflow clearly states that the agent will announce the automated test, execute it, and then present the results (success or failure) to the user.
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: Update Workflow Definition' (Protocol in workflow.md)
+
+## Phase 2: Implement Automated Verification Logic [checkpoint: b575dcd]
+- [x] Task: Develop the client-side logic for communicating with the API hook server. [f4a9ff8]
+    - [ ] Sub-task: Write failing unit tests for a new `ApiHookClient` that can send requests to the IPC server.
+    - [ ] Sub-task: Implement the `ApiHookClient` to make the tests pass.
+- [x] Task: Integrate the `ApiHookClient` into the Conductor agent's workflow. [c7c8b89]
+    - [ ] Sub-task: Write failing integration tests to ensure the Conductor's phase completion logic calls the `ApiHookClient`.
+    - [ ] Sub-task: Modify the workflow implementation to use the `ApiHookClient` for verification.
+- [x] Task: Implement result handling and user feedback. [94b4f38]
+    - [ ] Sub-task: Write failing tests for handling success, failure, and server-unavailable scenarios.
+    - [ ] Sub-task: Implement the logic to log results, present them to the user, and halt the workflow on failure.
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: Implement Automated Verification Logic' (Protocol in workflow.md)

conductor/archive/api_hooks_verification_20260223/spec.md

@@ -0,0 +1,21 @@
+# Specification: Integrate API Hooks for Automated Track Verification
+
+## Overview
+This track focuses on integrating the existing, previously implemented API hooks (from track `test_hooks_20260223`) into the Conductor workflow. The primary goal is to automate the verification steps within the "Phase Completion Verification and Checkpointing Protocol", reducing the need for manual user intervention and enabling a more streamlined, automated development process.
+
+## Functional Requirements
+- **Workflow Integration:** The `workflow.md` document, specifically the "Phase Completion Verification and Checkpointing Protocol," must be updated to replace manual verification steps with automated checks using the API hooks.
+- **IPC Communication:** The updated workflow will communicate with the application's backend via the established IPC server to trigger verification tasks.
+- **Result Handling:**
+    - All results from the API hook verifications must be logged for auditing and debugging purposes.
+    - Upon successful verification, the Conductor agent will proceed with the workflow as it currently does after a successful manual check.
+    - Upon failure, the agent will halt, present the failure logs to the user, and await further instructions.
+- **User Interaction Model:** The system will transition from asking the user to perform a manual test to informing the user that an automated test is running, and then presenting the results.
+
+## Non-Functional Requirements
+- **Resilience:** The Conductor agent must handle cases where the API hook server is unavailable or a hook call fails unexpectedly, without crashing or entering an unrecoverable state.
+- **Transparency:** All interactions with the API hooks must be clearly logged, making the automated process easy to monitor and debug.
+
+## Out of Scope
+- **Modifying API Hooks:** This track will not alter the existing API hooks, the IPC server, or the backend implementation. The focus is solely on the client-side integration within the Conductor agent's workflow.
+- **Changes to Manual Overrides:** Users will retain the ability to manually intervene or bypass automated checks if necessary.

conductor/archive/api_metrics_20260223/index.md

@@ -0,0 +1,5 @@
+# Track api_metrics_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/api_metrics_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "api_metrics_20260223",
+  "type": "feature",
+  "status": "new",
+  "created_at": "2026-02-23T10:00:00Z",
+  "updated_at": "2026-02-23T10:00:00Z",
+  "description": "Review vendor api usage in regards to conservative context handling"
+}

conductor/archive/api_metrics_20260223/plan.md

@@ -0,0 +1,19 @@
+# Implementation Plan
+
+## Phase 1: Metric Extraction and Logic Review [checkpoint: 2668f88]
+- [x] Task: Extract explicit cache counts and lifecycle states from Gemini SDK
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Review and expose 'history bleed' (token limit proximity) flags
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Metric Extraction and Logic Review' (Protocol in workflow.md)
+
+## Phase 2: GUI Telemetry and Plotting [checkpoint: 76582c8]
+- [x] Task: Implement token budget visualizer (e.g., Progress bars for limits) in Dear PyGui
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Implement active caches data display in Provider/Comms panel
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 2: GUI Telemetry and Plotting' (Protocol in workflow.md)

conductor/archive/api_metrics_20260223/spec.md

@@ -0,0 +1,22 @@
+# Specification: Review vendor api usage in regards to conservative context handling
+
+## Overview
+This track aims to optimize token efficiency and transparency by reviewing and improving how vendor APIs (Gemini and Anthropic) handle conservative context pruning. The primary focus is on extracting, plotting, and exposing deep metrics to the GUI so developers can intuit how close they are to API limits (e.g., token caps, cache counts, history bleed).
+
+## Scope
+- **Gemini Hooks:** Review explicit context caching, cache invalidation, and tools declaration. 
+- **Global Orchestration:** Review global context boundaries within the main prompt lifecycle.
+- **GUI Metrics:** Expose as much metric data as possible to the user interface (e.g., plotting token usage, visual indicators for when "history bleed" occurs, displaying the number of active caches).
+
+## Functional Requirements
+- Implement extensive token and cache metric extraction from both Gemini and Anthropic API responses.
+- Expose these metrics to the Dear PyGui frontend, potentially utilizing visual plots or progress bars to indicate token budget consumption.
+- Implement tests to explicitly verify context rules, ensuring history pruning acts conservatively and predictable without data loss.
+
+## Non-Functional Requirements
+- Ensure GUI rendering of new plots or dense metrics does not block the main thread.
+- Adhere to the "Strict State Management" product guideline.
+
+## Out of Scope
+- Major feature additions unrelated to context token management or telemetry.
+- Expanding the AI's agentic capabilities (e.g., new tools).

conductor/archive/api_vendor_alignment_20260223/index.md

@@ -0,0 +1,5 @@
+# Track api_vendor_alignment_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/api_vendor_alignment_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "api_vendor_alignment_20260223",
+  "type": "chore",
+  "status": "new",
+  "created_at": "2026-02-23T12:00:00Z",
+  "updated_at": "2026-02-23T12:00:00Z",
+  "description": "Review project codebase, documentation related to project, and make sure agenti vendor apis are being used as properly stated by offical documentation from google for gemini and anthropic for claude."
+}

conductor/archive/api_vendor_alignment_20260223/plan.md

@@ -0,0 +1,56 @@
+# Implementation Plan: API Usage Audit and Alignment
+
+## Phase 1: Research and Comprehensive Audit [checkpoint: 5ec4283]
+Identify all points of interaction with AI SDKs and compare them with latest official documentation.
+
+- [x] Task: List and categorize all AI SDK usage in the project.
+    - [x] Search for all imports of `google.genai` and `anthropic`.
+    - [x] Document specific functions and methods being called.
+- [x] Task: Research latest official documentation for `google-genai` and `anthropic` Python SDKs.
+    - [x] Verify latest patterns for Client initialization.
+    - [x] Verify latest patterns for Context/Prompt caching.
+    - [x] Verify latest patterns for Tool/Function calling.
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Research and Comprehensive Audit' (Protocol in workflow.md)
+
+## Phase 2: Gemini (google-genai) Alignment [checkpoint: 842bfc4]
+Align Gemini integration with documented best practices.
+
+- [x] Task: Refactor Gemini Client and Chat initialization if needed.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Optimize Gemini Context Caching.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Align Gemini Tool Declaration and handling.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Gemini (google-genai) Alignment' (Protocol in workflow.md)
+
+## Phase 3: Anthropic Alignment [checkpoint: f0eb538]
+Align Anthropic integration with documented best practices.
+
+- [x] Task: Refactor Anthropic Client and Message creation if needed.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Optimize Anthropic Prompt Caching (`cache_control`).
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Align Anthropic Tool Declaration and handling.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 3: Anthropic Alignment' (Protocol in workflow.md)
+
+## Phase 4: History and Token Management [checkpoint: 0f9f235]
+Ensure accurate token estimation and robust history handling.
+
+- [x] Task: Review and align token estimation logic for both providers.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Audit message history truncation and context window management.
+    - [x] Write Tests
+    - [x] Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 4: History and Token Management' (Protocol in workflow.md)
+
+## Phase 5: Final Validation and Cleanup [checkpoint: e9126b4]
+- [x] Task: Perform a full test run using `run_tests.py` to ensure 100% pass rate.
+- [x] Task: Conductor - User Manual Verification 'Phase 5: Final Validation and Cleanup' (Protocol in workflow.md)

conductor/archive/api_vendor_alignment_20260223/spec.md

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+# Specification: API Usage Audit and Alignment
+
+## Overview
+This track involves a comprehensive audit of the "Manual Slop" codebase to ensure that the integration with Google Gemini (`google-genai`) and Anthropic Claude (`anthropic`) SDKs aligns perfectly with their latest official documentation and best practices. The goal is to identify discrepancies, performance bottlenecks, or deprecated patterns and implement the necessary fixes.
+
+## Scope
+- **Target:** Full codebase audit, with primary focus on `ai_client.py`, `mcp_client.py`, and any other modules interacting with AI SDKs.
+- **Key Areas:**
+    - **Caching Mechanisms:** Verify Gemini context caching and Anthropic prompt caching implementation.
+    - **Tool Calling:** Audit function declarations, parameter schemas, and result handling.
+    - **History & Tokens:** Review message history management, token estimation accuracy, and context window handling.
+
+## Functional Requirements
+1. **SDK Audit:** Compare existing code patterns against the latest official Python SDK documentation for Gemini and Anthropic.
+2. **Feature Validation:**
+    - Ensure `google-genai` usage follows the latest `Client` and `types` patterns.
+    - Ensure `anthropic` usage utilizes `cache_control` correctly for optimal performance.
+3. **Discrepancy Remediation:** Implement code changes to align the implementation with documented standards.
+4. **Validation:** Execute tests to ensure that API interactions remain functional and improved.
+
+## Acceptance Criteria
+- Full audit completed for all AI SDK interactions.
+- Identified discrepancies are documented and fixed.
+- Caching, tool calling, and history management logic are verified against latest SDK standards.
+- All existing and new tests pass successfully.
+
+## Out of Scope
+- Adding support for new AI providers not already in the project.
+- Major UI refactoring unless directly required by API changes.

conductor/archive/context_management_20260223/plan.md

@@ -0,0 +1,19 @@
+# Implementation Plan
+
+## Phase 1: Context Memory and Token Visualization [checkpoint: a88311b]
+- [x] Task: Implement token usage summary widget e34ff7e
+    - [ ] Sub-task: Write Tests
+    - [ ] Sub-task: Implement Feature
+- [x] Task: Expose history truncation controls in the Discussion panel 94fe904
+    - [ ] Sub-task: Write Tests
+    - [ ] Sub-task: Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Context Memory and Token Visualization' (Protocol in workflow.md) a88311b
+
+## Phase 2: Agent Capability Configuration [checkpoint: 1ac6eb9]
+- [x] Task: Add UI toggles for available tools per-project 1677d25
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Wire tool toggles to AI provider tool declaration payload 92aa33c
+    - [ ] Sub-task: Write Tests
+    - [ ] Sub-task: Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Agent Capability Configuration' (Protocol in workflow.md) 1ac6eb9

conductor/archive/event_driven_metrics_20260223/index.md

@@ -0,0 +1,5 @@
+# Track event_driven_metrics_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/event_driven_metrics_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "event_driven_metrics_20260223",
+  "type": "refactor",
+  "status": "new",
+  "created_at": "2026-02-23T15:46:00Z",
+  "updated_at": "2026-02-23T15:46:00Z",
+  "description": "Fix client api metrics to use event driven updates, they shouldn't happen based on ui main thread graphical updates. Only when the program actually does significant client api calls or responses."
+}

conductor/archive/event_driven_metrics_20260223/plan.md

@@ -0,0 +1,28 @@
+# Implementation Plan: Event-Driven API Metrics Updates
+
+## Phase 1: Event Infrastructure & Test Setup [checkpoint: 776f4e4]
+Define the event mechanism and create baseline tests to ensure we don't break data accuracy.
+
+- [x] Task: Create `tests/test_api_events.py` to verify the new event emission logic in isolation. cd3f3c8
+- [x] Task: Implement a simple `EventEmitter` or `Signal` class (if not already present) to handle decoupled communication. cd3f3c8
+- [x] Task: Instrument `ai_client.py` with the event system, adding placeholders for the key lifecycle events. cd3f3c8
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: Event Infrastructure & Test Setup' (Protocol in workflow.md)
+
+## Phase 2: Client Instrumentation (API Lifecycle) [checkpoint: e24664c]
+Update the AI client to emit events during actual API interactions.
+
+- [x] Task: Implement event emission for Gemini and Anthropic request/response cycles in `ai_client.py`. 20ebab5
+- [x] Task: Implement event emission for tool/function calls and stream processing. 20ebab5
+- [x] Task: Verify via tests that events carry the correct payload (token counts, session metadata). 20ebab5
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Client Instrumentation (API Lifecycle)' (Protocol in workflow.md) e24664c
+
+## Phase 3: GUI Integration & Decoupling [checkpoint: 8caebbd]
+Connect the UI to the event system and remove polling logic.
+
+- [x] Task: Update `gui.py` to subscribe to API events and trigger metrics UI refreshes only upon event receipt. 2dd6145
+- [x] Task: Audit the `gui.py` render loop and remove all per-frame metrics calculations or display updates. 2dd6145
+- [x] Task: Verify that UI performance improves (reduced CPU/frame time) while metrics remain accurate. 2dd6145
+- [x] Task: Conductor - User Manual Verification 'Phase 3: GUI Integration & Decoupling' (Protocol in workflow.md) 8caebbd
+
+## Phase: Review Fixes
+- [x] Task: Apply review suggestions 66f728e

conductor/archive/event_driven_metrics_20260223/spec.md

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+# Specification: Event-Driven API Metrics Updates
+
+## Overview
+Refactor the API metrics update mechanism to be event-driven. Currently, the UI likely polls or recalculates metrics on every frame. This track will implement a signal/event system where `ai_client.py` broadcasts updates only when significant API activities (requests, responses, tool calls, or stream chunks) occur.
+
+## Functional Requirements
+- **Event System:** Implement a robust event/signal mechanism (e.g., using a queue or a simple observer pattern) to communicate API lifecycle events.
+- **Client Instrumentation:** Update `ai_client.py` to emit events at key points:
+    - **Request Start:** When a call is sent to the provider.
+    - **Response Received:** When a full or final response is received.
+    - **Tool Execution:** When a tool call is processed or a result is returned.
+    - **Stream Update:** When a chunk of a streaming response is processed.
+- **UI Listener:** Update the GUI components (in `gui.py` or associated panels) to subscribe to these events and update metrics displays only when notified.
+- **Decoupling:** Remove any metrics calculation or display logic that is triggered by the UI's main graphical update loop (per-frame).
+
+## Non-Functional Requirements
+- **Efficiency:** Significant reduction in UI main thread CPU usage related to metrics.
+- **Integrity:** Maintain 100% accuracy of token counts and usage data.
+- **Responsiveness:** Metrics should update immediately following the corresponding API event.
+
+## Acceptance Criteria
+- [ ] UI metrics for token usage, costs, and session state do NOT recalculate on every frame (can be verified by adding logging to the recalculation logic).
+- [ ] Metrics update precisely when API calls are made or responses are received.
+- [ ] Automated tests confirm that events are emitted correctly by the `ai_client`.
+- [ ] The application remains stable and metrics accuracy is verified against the existing polling implementation.
+
+## Out of Scope
+- Adding new metrics or visual components.
+- Refactoring the core AI logic beyond the event/metrics hook.

conductor/archive/gui_layout_refinement_20260223/audit_report.md

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+# GUI Layout Audit Report
+
+## Current Panel Distribution
+The GUI currently uses a multi-column layout with hardcoded initial positions:
+
+1. **Column 1 (Left):** Projects (Top), Files (Mid), Diagnostics (Bottom).
+2. **Column 2 (Center-Left):** Screenshots (Top), Theme (Mid), System Prompts (Bottom).
+3. **Column 3 (Center-Right):** Discussion History (Full Height).
+4. **Column 4 (Right):** Provider (Top), Message (Mid-Top), Response (Mid-Bottom), Tool Calls (Bottom).
+5. **Column 5 (Far-Right):** Comms History (Full Height).
+
+## Identified Issues
+
+### 1. Context Fragmentation
+- **Projects**, **Files**, and **Screenshots** are related to context gathering but are split across two different columns.
+- **Base Dir** inputs are repeated for Files and Screenshots, taking up redundant vertical space.
+
+### 2. Configuration Fragmentation
+- **Provider** settings (API keys, models, temperature) are on the far right.
+- **System Prompts** (Global and Project) are in the center-bottom.
+- These should be unified into a single "AI Configuration" or "Settings" hub.
+
+### 3. Workflow Disconnect (The "Chat Loop")
+- The user composes in **Message**, views in **Response**, and then manually adds to **Discussion History**.
+- These three panels are physically separated (Column 3 vs Column 4), causing unnecessary eye travel.
+
+### 4. Visibility of Operations
+- **Diagnostics** and **Comms History** are related to monitoring "under the hood" activity but are at opposite ends of the screen (Far Left vs Far Right).
+- **Tool Calls** and **Last Script Output** are the primary way to see AI actions, but Tool Calls is small and Script Output is a popup that can be missed.
+
+### 5. Tactical UI Density
+- Heavy use of `dpg.add_separator()` and standard `dpg.add_text()` labels leads to "airy" panels that don't match the "Arcade" aesthetic of dense, information-rich displays.
+- Lack of clear visual grouping for related fields.
+
+## Recommendations for Phase 2
+- **Unify Context:** Merge Projects, Files, and Screenshots into a tabbed "Context Manager" panel.
+- **Unify AI Config:** Merge Provider and System Prompts into an "AI Settings" panel.
+- **Streamline Chat:** Position Discussion History, Message, and Response in a logical vertical or horizontal flow.
+- **Operations Hub:** Group Diagnostics, Comms History, and Tool Calls.
+- **Arcade FX:** Implement better visual cues (blinking, color shifts) for state changes.

conductor/archive/gui_layout_refinement_20260223/index.md

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+# Track gui_layout_refinement_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/gui_layout_refinement_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "gui_layout_refinement_20260223",
+  "type": "refactor",
+  "status": "new",
+  "created_at": "2026-02-23T12:00:00Z",
+  "updated_at": "2026-02-23T12:00:00Z",
+  "description": "Review GUI design. Make sure placment of tunings, features, etc that the gui provides frontend visualization and manipulation for make sense and are in the right place (not in a weird panel or doesn't make sense holistically for its use. Make plan for adjustments and then make major changes to meet resolved goals."
+}

conductor/archive/gui_layout_refinement_20260223/plan.md

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+# Implementation Plan: GUI Layout Audit and UX Refinement
+
+## Phase 1: Audit and Structural Design [checkpoint: 6a35da1]
+Perform a thorough review of the current GUI and define the target layout.
+
+- [x] Task: Audit current GUI panels (AI Settings, Context, Diagnostics, History) and document placement issues. d177c0b
+- [x] Task: Propose a reorganized layout structure that prioritizes dockable/floatable window flexibility. 8448c71
+- [x] Task: Review proposal with user and finalize the structural plan. 8448c71
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Audit and Structural Design' (Protocol in workflow.md) 6a35da1
+
+## Phase 2: Layout Reorganization [checkpoint: 97367fe]
+Implement the structural changes to panel placements and window behaviors.
+
+- [x] Task: Refactor `gui.py` panel definitions to align with the new structural plan. c341de5
+- [x] Task: Optimize Dear PyGui window configuration for better multi-viewport handling. f8fb58d
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Layout Reorganization' (Protocol in workflow.md) 97367fe
+
+## Phase 3: Visual and Tactile Enhancements [checkpoint: 4a4cf8c]
+Implement Arcade FX and increase information density.
+
+- [x] Task: Enhance Arcade FX (blinking, animations) for AI state changes and tool execution. c5d54cf
+- [x] Task: Increase tactile density in diagnostic and context tables. c5d54cf
+- [x] Task: Conductor - User Manual Verification 'Phase 3: Visual and Tactile Enhancements' (Protocol in workflow.md) 4a4cf8c
+
+## Phase 4: Iterative Refinement and Final Audit [checkpoint: 22f8943]
+Fine-tune the UI based on live usage and verify against product guidelines.
+
+- [x] Task: Perform a "live" walkthrough to identify friction points in the new layout. b3cf58a
+- [x] Task: Final polish of widget spacing, colors, and tactile feedback based on walkthrough. ebd8158
+    - [x] Task: Revert Diagnostics to standalone panel and increase plot height. ebd8158
+    - [x] Task: Update Discussion Entries (collapsed by default, read-only mode toggle). ebd8158
+    - [x] Task: Reposition Maximize button (away from insert/delete). ebd8158
+    - [x] Task: Implement Message/Response as tabs. ebd8158
+    - [x] Task: Ensure all read-only text is selectable/copyable. ebd8158
+    - [x] Task: Implement "Prior Session Log" viewer with tinted UI mode. ebd8158
+- [x] Task: Conductor - User Manual Verification 'Phase 4: Iterative Refinement and Final Audit' (Protocol in workflow.md) 22f8943
+
+## Phase: Review Fixes
+- [x] Task: Apply review suggestions (Align diagnostics test) 0c5ac55

conductor/archive/gui_layout_refinement_20260223/proposal.md

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+# GUI Reorganization Proposal: The "Integrated Workspace"
+
+## Vision
+Transform the current scattered window layout into a cohesive, professional workspace that optimizes expert-level AI interaction. We will group functionality into four primary dockable "Hubs" while maintaining the flexibility of floating windows for secondary tasks.
+
+## 1. Context Hub (The "Input" Panel)
+**Goal:** Consolidate all files, projects, and assets.
+- **Components:**
+    - Tab 1: **Projects** (Project switching, global settings).
+    - Tab 2: **Files** (Base directory, path list, wildcard tools).
+    - Tab 3: **Screenshots** (Base directory, path list, preview).
+- **Benefits:** Reduces eye-scatter when gathering context; shared vertical space for lists.
+
+## 2. AI Settings Hub (The "Brain" Panel)
+**Goal:** Unified control over AI persona and parameters.
+- **Components:**
+    - Section (Collapsing): **Provider & Models** (Provider selection, model fetcher, telemetry).
+    - Section (Collapsing): **Tunings** (Temperature, Max Tokens, Truncation Limit).
+    - Section (Collapsing): **System Prompts** (Global and Project-specific overrides).
+- **Benefits:** All "static" AI configuration in one place, freeing up right-column space for the chat flow.
+
+## 3. Discussion Hub (The "Interface" Panel)
+**Goal:** A tight feedback loop for the core chat experience.
+- **Layout:**
+    - **Top:** Discussion History (Scrollable region).
+    - **Middle:** Message Composer (Input box + "Gen + Send" buttons).
+    - **Bottom:** AI Response (Read-only output with "-> History" action).
+- **Benefits:** Minimizes mouse travel between input, output, and history archival. Supports a natural top-to-bottom reading flow.
+
+## 4. Operations Hub (The "Diagnostics" Panel)
+**Goal:** High-density monitoring of background activity.
+- **Components:**
+    - Tab 1: **Comms History** (The low-level request/response log).
+    - Tab 2: **Tool Log** (Specific record of executed tools and scripts).
+    - Tab 3: **Diagnostics** (Performance telemetry, FPS/CPU plots).
+- **Benefits:** Keeps "noisy" technical data out of the primary workspace while making it easily accessible for troubleshooting.
+
+## Visual & Tactile Enhancements (Arcade FX)
+- **State-Based Blinking:** Unified blinking logic for when the AI is "Thinking" vs "Ready".
+- **Density:** Transition from simple separators to titled grouping boxes and compact tables for token usage.
+- **Color Coding:** Standardized color palette for different tool types (Files = Blue, Shell = Yellow, Web = Green).
+
+## Implementation Strategy
+1. **Docking Defaults:** Define a default docking layout in `gui.py` that arranges these four Hubs in a 4-quadrant or 2x2 grid.
+2. **Refactor:** Modify `gui.py` to wrap current window contents into these new Hub functions.
+3. **Persistence:** Ensure `dpg_layout.ini` continues to respect user overrides for this new structure.

conductor/archive/gui_layout_refinement_20260223/spec.md

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+# Specification: GUI Layout Audit and UX Refinement
+
+## Overview
+This track focuses on a holistic review and reorganization of the Manual Slop GUI. The goal is to ensure that AI tunings, diagnostic features, context management, and discussion history are logically placed to support an expert-level "Multi-Viewport" workflow. We will strengthen the "Arcade Aesthetics" and "Tactile Density" values while ensuring the layout remains intuitive for power users.
+
+## Scope
+- **Review Areas:** AI Configuration, Diagnostics & Logs, Context Management, and Discussion History panels.
+- **Paradigm:** Multi-Viewport Focus (optimizing floatable/dockable windows).
+- **Aesthetics:** Enhancement of Arcade-style visual feedback and tactile UI density.
+
+## Functional Requirements
+1. **Layout Audit:** Analyze current widget placement against holistic use cases. Identify "weirdly placed" features that don't fit the expert-focus workflow.
+2. **Multi-Viewport Optimization:** Refine dockable panel behaviors to ensure flexible multi-monitor setups are seamless.
+3. **Visual Feedback Overhaul:** Implement or enhance blinking notifications and state-change animations (Arcade FX) for tool execution and AI status.
+4. **Information Density Enhancement:** Increase tactile feedback and data density in diagnostic and context panels.
+
+## Non-Functional Requirements
+- **Performance:** Ensure layout updates do not introduce lag or violate strict state management principles.
+- **Consistency:** Maintain "USA Graphics Company" tactile interaction values.
+
+## Acceptance Criteria
+- A comprehensive audit report/plan for adjustments is created.
+- GUI layout is reorganized based on the audit results.
+- Arcade FX and tactile density enhancements are implemented and verified.
+- The redesign is refined iteratively based on user feedback.
+
+## Out of Scope
+- Modifying underlying AI SDK integration logic.
+- Implementing new core MCP tools.
+- Backend project management logic.

conductor/archive/gui_performance_20260223/index.md

@@ -0,0 +1,5 @@
+# Track gui_performance_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/gui_performance_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "gui_performance_20260223",
+  "type": "bug",
+  "status": "new",
+  "created_at": "2026-02-23T15:10:00Z",
+  "updated_at": "2026-02-23T15:10:00Z",
+  "description": "investigate and fix heavy frametime performance issues with the gui"
+}

conductor/archive/gui_performance_20260223/plan.md

@@ -0,0 +1,28 @@
+# Implementation Plan: GUI Performance Fix
+
+## Phase 1: Instrumented Profiling and Regression Analysis
+- [x] Task: Baseline Profiling Run
+    - [x] Sub-task: Launch app with `--enable-test-hooks` and capture `get_ui_performance` snapshot on idle startup.
+    - [x] Sub-task: Identify which component (Dialogs, History, GUI_Tasks, Blinking, Comms, Telemetry) exceeds 1ms.
+- [x] Task: Regression Analysis (Commit `8aa70e2` to HEAD)
+    - [x] Sub-task: Review `git diff` for `gui.py` and `ai_client.py` across the suspected range.
+    - [x] Sub-task: Identify any code added to the `while dpg.is_dearpygui_running()` loop that lacks throttling.
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Instrumented Profiling and Regression Analysis' (Protocol in workflow.md)
+
+## Phase 2: Bottleneck Remediation
+- [x] Task: Implement Performance Fixes
+    - [x] Sub-task: Write Tests (Performance regression test - verify no new heavy loops introduced)
+    - [x] Sub-task: Implement Feature (Refactor/Throttle identified bottlenecks)
+- [x] Task: Verify Idle FPS Stability
+    - [x] Sub-task: Write Tests (Verify frametimes are < 16.6ms via API hooks)
+    - [x] Sub-task: Implement Feature (Final tuning of update frequencies)
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Bottleneck Remediation' (Protocol in workflow.md)
+
+## Phase 3: Final Validation
+- [x] Task: Stress Test Verification
+    - [x] Sub-task: Write Tests (Simulate high volume of comms entries and verify FPS remains stable)
+    - [x] Sub-task: Implement Feature (Ensure optimizations scale with history size)
+- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation' (Protocol in workflow.md)
+
+## Phase: Review Fixes
+- [x] Task: Apply review suggestions 4628813

conductor/archive/gui_performance_20260223/spec.md

@@ -0,0 +1,27 @@
+# Specification: GUI Performance Investigation and Fix
+
+## Overview
+This track focuses on identifying and resolving severe frametime performance issues in the Manual Slop GUI. Current observations indicate massive frametime bloat even on idle startup, with performance significantly regressing (target 60 FPS / <16.6ms) since commit `8aa70e287fbf93e669276f9757965d5a56e89b10`.
+
+## Functional Requirements
+- **Deep Profiling:**
+    - Use the high-resolution component timing (implemented in previous tracks) to pinpoint the exact main loop component causing bloat.
+    - Verify if the issue is in DPG rendering, theme binding, telemetry gathering, or thread synchronization.
+- **Regression Analysis:**
+    - Examine changes since commit `8aa70e287fbf93e669276f9757965d5a56e89b10` to identify potentially expensive operations introduced to the main loop.
+- **Optimization:**
+    - Refactor or throttle any identified bottlenecks.
+    - Ensure that UI initialization or data aggregation does not block the main thread unnecessarily.
+
+## Non-Functional Requirements
+- **Target Performance:** Consistent 60 FPS (<16.6ms per frame) during idle operation.
+- **Stability:** Zero frames exceeding 33ms (spike threshold) during normal idle use.
+
+## Acceptance Criteria
+- [ ] Manual Slop GUI launches and maintains a stable <16.6ms frametime on idle.
+- [ ] Performance Diagnostics panel confirms the absence of >16.6ms spikes on idle.
+- [ ] The root cause of the regression is identified and verified through empirical testing.
+
+## Out of Scope
+- Optimizing AI response times (latency of the provider API).
+- GPU-side optimizations (shaders/VRAM management).

conductor/archive/live_gui_testing_20260223/index.md

@@ -0,0 +1,5 @@
+# Track live_gui_testing_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/live_gui_testing_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "live_gui_testing_20260223",
+  "type": "chore",
+  "status": "new",
+  "created_at": "2026-02-23T15:43:00Z",
+  "updated_at": "2026-02-23T15:43:00Z",
+  "description": "Update all tests to use a live running gui.py with --enable-test-hooks for real-time state and metrics verification."
+}

conductor/archive/live_gui_testing_20260223/plan.md

@@ -0,0 +1,27 @@
+# Implementation Plan: Live GUI Testing Infrastructure
+
+## Phase 1: Infrastructure & Core Utilities [checkpoint: db251a1]
+Establish the mechanism for managing the live GUI process and providing it to tests.
+
+- [x] Task: Create `tests/conftest.py` with a session-scoped fixture to manage the `gui.py --enable-test-hooks` process.
+- [x] Task: Enhance `api_hook_client.py` with robust connection retries and health checks to handle GUI startup time.
+- [x] Task: Update `conductor/workflow.md` to formally document the "Live GUI Testing" requirement and the use of the `--enable-test-hooks` flag.
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Infrastructure & Core Utilities' (Protocol in workflow.md)
+
+## Phase 2: Test Suite Migration [checkpoint: 6677a6e]
+Migrate existing tests to use the live GUI fixture and API hooks.
+
+- [x] Task: Refactor `tests/test_api_hook_client.py` and `tests/test_conductor_api_hook_integration.py` to use the live GUI fixture.
+- [x] Task: Refactor GUI performance tests (`tests/test_gui_performance_requirements.py`, `tests/test_gui_stress_performance.py`) to verify real metrics (FPS, memory) via hooks.
+- [x] Task: Audit and update all remaining tests in `tests/` to ensure they either use the live server or are explicitly marked as pure unit tests.
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Test Suite Migration' (Protocol in workflow.md)
+
+## Phase 3: Conductor Integration & Validation [checkpoint: 637946b]
+Ensure the Conductor framework itself supports and enforces this new testing paradigm.
+
+- [x] Task: Verify that new track creation generates plans that include specific API hook verification tasks.
+- [x] Task: Perform a full test run using `run_tests.py` (or equivalent) to ensure 100% pass rate in the new environment.
+- [x] Task: Conductor - User Manual Verification 'Phase 3: Conductor Integration & Validation' (Protocol in workflow.md)
+
+## Phase: Review Fixes
+- [x] Task: Apply review suggestions 075d760

conductor/archive/live_gui_testing_20260223/spec.md

@@ -0,0 +1,25 @@
+# Specification: Live GUI Testing Infrastructure
+
+## Overview
+Update the testing suite to ensure all tests (especially GUI-related and integration tests) communicate with a live running instance of `gui.py` started with the `--enable-test-hooks` argument. This ensures that tests can verify the actual application state and metrics via the built-in API hooks.
+
+## Functional Requirements
+- **Server-Based Testing:** All tests must be updated to interact with the application through its REST API hooks rather than mocking internal components where live verification is possible.
+- **Automated GUI Management:** Implement a robust mechanism (preferably a pytest fixture) to start `gui.py --enable-test-hooks` before test execution and ensure it is cleanly terminated after tests complete.
+- **Hook Client Integration:** Ensure `api_hook_client.py` is the primary interface for tests to communicate with the running GUI.
+- **Documentation Alignment:** Update `conductor/workflow.md` to reflect the requirement for live testing and API hook verification.
+
+## Non-Functional Requirements
+- **Reliability:** The process of starting and stopping the GUI must be stable and not leave orphaned processes.
+- **Speed:** The setup/teardown of the live GUI should be optimized to minimize test suite overhead.
+- **Observability:** Tests should log communication with the API hooks for easier debugging.
+
+## Acceptance Criteria
+- [ ] All tests in the `tests/` directory pass when executed against a live `gui.py` instance.
+- [ ] New track creation (e.g., via `/conductor:newTrack`) generates plans that include specific API hook verification tasks.
+- [ ] `conductor/workflow.md` accurately describes the live testing protocol.
+- [ ] Real-time UI metrics (FPS, CPU, etc.) are successfully retrieved and verified in at least one performance test.
+
+## Out of Scope
+- Rewriting the entire GUI framework.
+- Implementing new API hooks not required for existing test verification.

conductor/archive/test_hooks_20260223/index.md

@@ -0,0 +1,5 @@
+# Track test_hooks_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/test_hooks_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "test_hooks_20260223",
+  "type": "feature",
+  "status": "new",
+  "created_at": "2026-02-23T10:00:00Z",
+  "updated_at": "2026-02-23T10:00:00Z",
+  "description": "Add full api/hooks so that gemini cli can test, interact, and manipulate the state of the gui & program backend for automated testing."
+}

conductor/archive/test_hooks_20260223/plan.md

@@ -0,0 +1,25 @@
+# Implementation Plan
+
+## Phase 1: Foundation and Opt-in Mechanisms [checkpoint: 2bc7a3f]
+- [x] Task: Implement CLI flag/env-var to enable the hook system [1306163]
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Set up lightweight local IPC server (e.g., standard library socket/HTTP) for receiving hook commands [44c2585]
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Foundation and Opt-in Mechanisms' (Protocol in workflow.md) [2bc7a3f]
+
+## Phase 2: Hook Implementations and Logging [checkpoint: eaf229e]
+- [x] Task: Implement project and AI session state manipulation hooks [d9d056c]
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Implement GUI state manipulation hooks with thread-safe queueing [5f9bc19]
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Integrate aggressive logging for all hook invocations [ef29902]
+    - [x] Sub-task: Write Tests
+    - [x] Sub-task: Implement Feature
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Hook Implementations and Logging' (Protocol in workflow.md) [eaf229e]
+
+## Phase: Review Fixes
+- [x] Task: Apply review suggestions [dc64493]

conductor/archive/test_hooks_20260223/spec.md

@@ -0,0 +1,21 @@
+# Specification: Add full api/hooks so that gemini cli can test, interact, and manipulate the state of the gui & program backend for automated testing
+
+## Overview
+This track introduces a comprehensive suite of API hooks designed specifically for the Gemini CLI and the Conductor framework. These hooks will allow automated agents to manipulate and test the internal state of the application without requiring manual GUI interaction, enabling automated test-driven development and track progression validation.
+
+## Use Cases
+- **Automated Testing & Progression:** Expose low-level state manipulation hooks so that the Gemini CLI + Conductor can autonomously verify track completion, test UI logic, and validate backend states.
+
+## Functional Requirements
+- **Comprehensive Access:** The hooks must provide full, unrestricted access to the entire program, including:
+  - GUI state (Dear PyGui nodes, values, layout data).
+  - AI session state (history, active caches, tool configurations).
+  - Project configurations and discussion state.
+- **Security & Logging:** The hook system MUST be strictly opt-in (e.g., enabled via a specific command-line argument like `--enable-test-hooks` or an environment variable). When enabled, any invocation of these hooks MUST be aggressively logged to ensure transparency.
+
+## Non-Functional Requirements
+- **Thread Safety:** Hooks interacting with the GUI state must respect the main render loop locks and threading model defined in the architecture guidelines.
+- **Dependency Minimalism:** The hook interface should utilize built-in mechanisms (like sockets, a lightweight local HTTP server, or standard inter-process communication) without introducing heavy external web frameworks.
+
+## Out of Scope
+- Building the actual Gemini CLI or Conductor automation logic itself; this track only builds the *hooks* within Manual Slop that those external agents will consume.

conductor/archive/ui_performance_20260223/index.md

@@ -0,0 +1,5 @@
+# Track ui_performance_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/ui_performance_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "ui_performance_20260223",
+  "type": "feature",
+  "status": "new",
+  "created_at": "2026-02-23T14:45:00Z",
+  "updated_at": "2026-02-23T14:45:00Z",
+  "description": "Add new metrics to track ui performance (frametimings, fps, input lag, etc). And api hooks so that ai may engage with them."
+}

conductor/archive/ui_performance_20260223/plan.md

@@ -0,0 +1,31 @@
+# Implementation Plan: UI Performance Metrics and AI Diagnostics
+
+## Phase 1: High-Resolution Telemetry Engine [checkpoint: f5c9596]
+- [x] Task: Implement core performance collector (FrameTime, CPU usage) 7fe117d
+    - [x] Sub-task: Write Tests (validate metric collection accuracy)
+    - [x] Sub-task: Implement Feature (create `PerformanceMonitor` class)
+- [x] Task: Integrate collector with Dear PyGui main loop 5c7fd39
+    - [x] Sub-task: Write Tests (verify integration doesn't crash loop)
+    - [x] Sub-task: Implement Feature (hooks in `gui.py` or `gui_2.py`)
+- [x] Task: Implement Input Lag estimation logic cdd06d4
+    - [x] Sub-task: Write Tests (simulated input vs. response timing)
+    - [x] Sub-task: Implement Feature (event-based timing in GUI)
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: High-Resolution Telemetry Engine' (Protocol in workflow.md)
+
+## Phase 2: AI Tooling and Alert System [checkpoint: b92f2f3]
+- [x] Task: Create `get_ui_performance` AI tool 9ec5ff3
+    - [x] Sub-task: Write Tests (verify tool returns correct JSON schema)
+    - [x] Sub-task: Implement Feature (add tool to `mcp_client.py`)
+- [x] Task: Implement performance threshold alert system 3e9d362
+    - [x] Sub-task: Write Tests (verify alerts trigger at correct thresholds)
+    - [x] Sub-task: Implement Feature (logic to inject messages into `ai_client.py` context)
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: AI Tooling and Alert System' (Protocol in workflow.md)
+
+## Phase 3: Diagnostics UI and Optimization [checkpoint: 7aa9fe6]
+- [x] Task: Build the Diagnostics Panel in Dear PyGui 30d838c
+    - [x] Sub-task: Write Tests (verify panel components render)
+    - [x] Sub-task: Implement Feature (plots, stat readouts in `gui.py`)
+- [x] Task: Identify and fix main thread performance bottlenecks c2f4b16
+    - [x] Sub-task: Write Tests (reproducible "heavy" load test)
+    - [x] Sub-task: Implement Feature (refactor heavy logic to workers)
+- [ ] Task: Conductor - User Manual Verification 'Phase 3: Diagnostics UI and Optimization' (Protocol in workflow.md)

conductor/archive/ui_performance_20260223/spec.md

@@ -0,0 +1,34 @@
+# Specification: UI Performance Metrics and AI Diagnostics
+
+## Overview
+This track aims to resolve subpar UI performance (currently perceived below 60 FPS) by implementing a robust performance monitoring system. This system will collect high-resolution telemetry (Frame Time, Input Lag, Thread Usage) and expose it to both the user (via a Diagnostics Panel) and the AI (via API hooks). This ensures that performance degradation is caught early during development and testing.
+
+## Functional Requirements
+- **Metric Collection Engine:**
+    - Track **Frame Time** (ms) for every frame rendered by Dear PyGui.
+    - Measure **Input Lag** (estimated delay between input events and UI state updates).
+    - Monitor **CPU/Thread Usage**, specifically identifying blocks in the main UI thread.
+- **Diagnostics Panel:**
+    - A new dedicated panel in the GUI to display real-time performance graphs and stats.
+    - Historical trend visualization for frame times to identify spikes.
+- **AI API Hooks:**
+    - **Polling Tool:** A tool (e.g., `get_ui_performance`) that allows the AI to request a snapshot of current telemetry.
+    - **Event-Driven Alerts:** A mechanism to notify the AI (or append to history) when performance metrics cross a "degradation" threshold (e.g., frame time > 33ms).
+- **Performance Optimization:**
+    - Identify the "heavy" process currently running in the main UI thread loop.
+    - Refactor identified bottlenecks to utilize background workers or optimized logic.
+
+## Non-Functional Requirements
+- **Low Overhead:** The monitoring system itself must not significantly impact UI performance (target <1% CPU overhead).
+- **Accuracy:** Frame timings must be accurate to sub-millisecond resolution.
+
+## Acceptance Criteria
+- [ ] UI consistently maintains "Smooth Frame Timing" (minimized spikes) under normal load.
+- [ ] Main thread load is reduced, evidenced by metrics showing less than 50% busy time during idle/light use.
+- [ ] AI can successfully retrieve performance data using the `get_ui_performance` tool.
+- [ ] AI is alerted when a simulated performance drop occurs.
+- [ ] The Diagnostics Panel displays live, accurate data.
+
+## Out of Scope
+- GPU-specific profiling (e.g., VRAM usage, shader timings).
+- Remote telemetry/analytics (data stays local).

conductor/product.md

@@ -12,4 +12,7 @@ To serve as an expert-level utility for personal developer use on small projects
 - **Multi-Provider Integration:** Supports both Gemini and Anthropic with seamless switching.
 - **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution.
 - **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
-- **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
+- **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
+- **Integrated Workspace:** A consolidated Hub-based layout (Context, AI Settings, Discussion, Operations) designed for expert multi-monitor workflows.
+- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.
+- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis.

conductor/tech-stack.md

@@ -13,4 +13,8 @@
 
 ## Configuration & Tooling
 - **tomli-w:** For writing TOML configuration files.
-- **uv:** An extremely fast Python package and project manager.
+- **psutil:** For system and process monitoring (CPU/Memory telemetry).
+- **uv:** An extremely fast Python package and project manager.
+
+## Architectural Patterns
+- **Event-Driven Metrics:** Uses a custom `EventEmitter` to decouple API lifecycle events from UI rendering, improving performance and responsiveness.

conductor/tracks.md

@@ -4,5 +4,16 @@ This file tracks all major tracks for the project. Each track has its own detail
 
 ---
 
-- [ ] **Track: Implement context visualization and memory management improvements**
+- [x] **Track: Implement context visualization and memory management improvements**
-  *Link: [./tracks/context_management_20260223/](./tracks/context_management_20260223/)*
+  *Link: [./tracks/context_management_20260223/](./tracks/context_management_20260223/)*
+
+---
+
+- [ ] **Track: Make a human-like test ux interaction where the AI creates a small python project, engages in a 5-turn discussion, and verifies history/session management features via API hooks.**
+*Link: [./tracks/live_ux_test_20260223/](./tracks/live_ux_test_20260223/)*
+
+
+
+
+
+

conductor/tracks/context_management_20260223/plan.md

@@ -1,19 +0,0 @@
-# Implementation Plan
-
-## Phase 1: Context Memory and Token Visualization
-- [ ] Task: Implement token usage summary widget
-    - [ ] Sub-task: Write Tests
-    - [ ] Sub-task: Implement Feature
-- [ ] Task: Expose history truncation controls in the Discussion panel
-    - [ ] Sub-task: Write Tests
-    - [ ] Sub-task: Implement Feature
-- [ ] Task: Conductor - User Manual Verification 'Phase 1: Context Memory and Token Visualization' (Protocol in workflow.md)
-
-## Phase 2: Agent Capability Configuration
-- [ ] Task: Add UI toggles for available tools per-project
-    - [ ] Sub-task: Write Tests
-    - [ ] Sub-task: Implement Feature
-- [ ] Task: Wire tool toggles to AI provider tool declaration payload
-    - [ ] Sub-task: Write Tests
-    - [ ] Sub-task: Implement Feature
-- [ ] Task: Conductor - User Manual Verification 'Phase 2: Agent Capability Configuration' (Protocol in workflow.md)

conductor/tracks/live_ux_test_20260223/index.md

@@ -0,0 +1,5 @@
+# Track live_ux_test_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/tracks/live_ux_test_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "live_ux_test_20260223",
+  "type": "feature",
+  "status": "new",
+  "created_at": "2026-02-23T19:14:00Z",
+  "updated_at": "2026-02-23T19:14:00Z",
+  "description": "Make a human-like test ux interaction where the AI creates a small python project, engages in a 5-turn discussion, and verifies history/session management features via API hooks."
+}

conductor/tracks/live_ux_test_20260223/plan.md

@@ -0,0 +1,36 @@
+# Implementation Plan: Human-Like UX Interaction Test
+
+## Phase 1: Infrastructure & Automation Core
+Establish the foundation for driving the GUI via API hooks and simulation logic.
+
+- [ ] Task: Extend `ApiHookClient` with methods for tab switching and listbox selection if missing.
+- [ ] Task: Implement `TestUserAgent` class to manage dynamic response generation and action delays.
+- [ ] Task: Write Tests (Verify basic hook connectivity and simulated delays)
+- [ ] Task: Implement basic 'ping-pong' interaction via hooks.
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: Infrastructure & Automation Core' (Protocol in workflow.md)
+
+## Phase 2: Workflow Simulation
+Build the core interaction loop for project creation and AI discussion.
+
+- [ ] Task: Implement 'New Project' scaffolding script (creating a tiny console program).
+- [ ] Task: Implement 5-turn discussion loop logic with sub-agent responses.
+- [ ] Task: Write Tests (Verify state changes in Discussion Hub during simulated chat)
+- [ ] Task: Implement 'Thinking' and 'Live' indicator verification logic.
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: Workflow Simulation' (Protocol in workflow.md)
+
+## Phase 3: History & Session Verification
+Simulate complex session management and historical audit features.
+
+- [ ] Task: Implement discussion switching logic (creating/switching between named discussions).
+- [ ] Task: Implement 'Load Prior Log' simulation and 'Tinted Mode' detection.
+- [ ] Task: Write Tests (Verify log loading and tab navigation consistency)
+- [ ] Task: Implement truncation limit verification (forcing a long history and checking bleed).
+- [ ] Task: Conductor - User Manual Verification 'Phase 3: History & Session Verification' (Protocol in workflow.md)
+
+## Phase 4: Final Integration & Regression
+Consolidate the simulation into end-user artifacts and CI tests.
+
+- [ ] Task: Create `live_walkthrough.py` with full visual feedback and manual sign-off.
+- [ ] Task: Create `tests/test_live_workflow.py` for automated regression testing.
+- [ ] Task: Perform a full visual walkthrough and verify 'human-readable' pace.
+- [ ] Task: Conductor - User Manual Verification 'Phase 4: Final Integration & Regression' (Protocol in workflow.md)

conductor/tracks/live_ux_test_20260223/spec.md

@@ -0,0 +1,37 @@
+# Specification: Human-Like UX Interaction Test
+
+## Overview
+This track implements a robust, "human-like" interaction test suite for Manual Slop. The suite will simulate a real user's workflow—from project creation to complex AI discussions and history management—using the application's API hooks. It aims to verify the "Integrated Workspace" functionality, tool execution, and history persistence without requiring manual human input, while remaining slow enough for visual audit.
+
+## Scope
+- **Standalone Interactive Test**: A Python script (`live_walkthrough.py`) that drives the GUI through a full session, ending with an optional manual sign-off.
+- **Automated Regression Test**: A pytest integration (`tests/test_live_workflow.py`) that executes the same logic in a headless or automated fashion for CI.
+- **Target Model**: Google Gemini Flash 2.5.
+
+## Functional Requirements
+1. **User Simulation**:
+    - **Dynamic Messaging**: The test agent will generate responses based on the AI's output to simulate a multi-turn conversation.
+    - **Tactile Delays**: Short, random delays (minimum 0.5s) between actions to simulate reading and "typing" time.
+    - **Visual Feedback**: Automatic scrolling of the discussion history and comms logs to keep the "live" action in view.
+2. **Workflow Scenarios**:
+    - **Project Scaffolding**: Create a new project and initialize a tiny console-based Python program.
+    - **Discussion Loop**: Engage in a ~5-turn conversation with the AI to refine the code.
+    - **Context Management**: Verify that tool calls (filesystem, shell) are reflected correctly in the Comms and Tool Log tabs.
+    - **History Depth**: Verify truncation limits and switching between named discussions.
+3. **Session Management**:
+    - **Tab Interaction**: Programmatically switch between "Comms Log" and "Tool Log" tabs during operations.
+    - **Historical Audit**: Use the "Load Session Log" feature to load a prior log file and verify "Tinted Mode" visibility.
+
+## Non-Functional Requirements
+- **Efficiency**: Minimize token usage by using Gemini Flash and keeping the "User" prompts concise.
+- **Observability**: The standalone test must be clearly visible to a human observer, with state changes occurring at a "human-readable" pace.
+
+## Acceptance Criteria
+- `live_walkthrough.py` successfully completes a 5-turn discussion and signs off.
+- `tests/test_live_workflow.py` passes in CI environment.
+- Prior session logs are loaded and visualized without crashing.
+- Thinking and Live indicators trigger correctly during simulated API calls.
+
+## Out of Scope
+- Support for Anthropic API in this specific test track.
+- Stress testing high-concurrency tool calls.

conductor/workflow.md

@@ -86,34 +86,20 @@ All tasks follow a strict lifecycle:
     -   Execute the announced command.
     -   If tests fail, you **must** inform the user and begin debugging. You may attempt to propose a fix a **maximum of two times**. If the tests still fail after your second proposed fix, you **must stop**, report the persistent failure, and ask the user for guidance.
 
-4.  **Propose a Detailed, Actionable Manual Verification Plan:**
+4.  **Execute Automated API Hook Verification:**
-    -   **CRITICAL:** To generate the plan, first analyze `product.md`, `product-guidelines.md`, and `plan.md` to determine the user-facing goals of the completed phase.
+    -   **CRITICAL:** The Conductor agent will now automatically execute verification tasks using the application's API hooks.
-    -   You **must** generate a step-by-step plan that walks the user through the verification process, including any necessary commands and specific, expected outcomes.
+    -   The agent will announce the start of the automated verification to the user.
-    -   The plan you present to the user **must** follow this format:
+    -   It will then communicate with the application's IPC server to trigger the necessary verification functions.
+    -   **Result Handling:**
+        -   All results (successes and failures) from the API hook invocations will be logged.
+        -   If all automated verifications pass, the agent will inform the user and proceed to the next step (Create Checkpoint Commit).
+        -   If any automated verification fails, the agent will halt the workflow, present the detailed failure logs to the user, and await further instructions for debugging or remediation.
 
-        **For a Frontend Change:**
+5.  **Present Automated Verification Results and User Confirmation:**
-        ```
+    -   After executing automated verification, the Conductor agent will present the results to the user.
-        The automated tests have passed. For manual verification, please follow these steps:
+    -   If verification passed, the agent will state: "Automated verification completed successfully."
-
+    -   If verification failed, the agent will state: "Automated verification failed. Please review the logs above for details. You may attempt to propose a fix a **maximum of two times**. If the tests still fail after your second proposed fix, you **must stop**, report the persistent failure, and ask the user for guidance."
-        **Manual Verification Steps:**
+    -   **PAUSE** and await the user's response. Do not proceed without an explicit yes or confirmation from the user to proceed if tests pass, or guidance if tests fail.
-        1.  **Start the development server with the command:** `npm run dev`
-        2.  **Open your browser to:** `http://localhost:3000`
-        3.  **Confirm that you see:** The new user profile page, with the user's name and email displayed correctly.
-        ```
-
-        **For a Backend Change:**
-        ```
-        The automated tests have passed. For manual verification, please follow these steps:
-
-        **Manual Verification Steps:**
-        1.  **Ensure the server is running.**
-        2.  **Execute the following command in your terminal:** `curl -X POST http://localhost:8080/api/v1/users -d '{"name": "test"}'`
-        3.  **Confirm that you receive:** A JSON response with a status of `201 Created`.
-        ```
-
-5.  **Await Explicit User Feedback:**
-    -   After presenting the detailed plan, ask the user for confirmation: "**Does this meet your expectations? Please confirm with yes or provide feedback on what needs to be changed.**"
-    -   **PAUSE** and await the user's response. Do not proceed without an explicit yes or confirmation.
 
 6.  **Create Checkpoint Commit:**
     -   Stage all changes. If no changes occurred in this step, proceed with an empty commit.
@@ -134,6 +120,30 @@ All tasks follow a strict lifecycle:
 
 10.  **Announce Completion:** Inform the user that the phase is complete and the checkpoint has been created, with the detailed verification report attached as a git note.
 
+### Verification via API Hooks
+
+For features involving the GUI or complex internal state, unit tests are often insufficient. You MUST use the application's built-in API hooks for empirical verification:
+
+1.  **Launch the App with Hooks:** Run the application in a separate shell with the `--enable-test-hooks` flag:
+    ```powershell
+    uv run python gui.py --enable-test-hooks
+    ```
+    This starts the hook server on port `8999`.
+
+2.  **Use the pytest `live_gui` Fixture:** For automated tests, use the session-scoped `live_gui` fixture defined in `tests/conftest.py`. This fixture handles the lifecycle (startup/shutdown) of the application with hooks enabled.
+    ```python
+    def test_my_feature(live_gui):
+        # The GUI is now running on port 8999
+        ...
+    ```
+
+3.  **Verify via ApiHookClient:** Use the `ApiHookClient` in `api_hook_client.py` to interact with the running application. It includes robust retry logic and health checks.
+
+4.  **Verify via REST Commands:** Use PowerShell or `curl` to send commands to the application and verify the response. For example, to check health:
+    ```powershell
+    Invoke-RestMethod -Uri "http://127.0.0.1:8999/status" -Method Get
+    ```
+
 ### Quality Gates
 
 Before marking any task complete, verify:

config.toml

@@ -1,6 +1,6 @@
 [ai]
 provider = "gemini"
-model = "gemini-3.1-pro-preview"
+model = "gemini-2.5-flash"
 temperature = 0.6000000238418579
 max_tokens = 12000
 history_trunc_limit = 8000
@@ -18,3 +18,17 @@ paths = [
     "C:/projects/forth/bootslop/bootslop.toml",
 ]
 active = "manual_slop.toml"
+
+[gui.show_windows]
+Projects = true
+Files = true
+Screenshots = true
+"Discussion History" = true
+Provider = true
+Message = true
+Response = true
+"Tool Calls" = true
+"Comms History" = true
+"System Prompts" = true
+Theme = true
+Diagnostics = true

events.py

@@ -0,0 +1,37 @@
+"""
+Decoupled event emission system for cross-module communication.
+"""
+from typing import Callable, Any, Dict, List
+
+class EventEmitter:
+    """
+    Simple event emitter for decoupled communication between modules.
+    """
+    def __init__(self):
+        """Initializes the EventEmitter with an empty listener map."""
+        self._listeners: Dict[str, List[Callable]] = {}
+
+    def on(self, event_name: str, callback: Callable):
+        """
+        Registers a callback for a specific event.
+        
+        Args:
+            event_name: The name of the event to listen for.
+            callback: The function to call when the event is emitted.
+        """
+        if event_name not in self._listeners:
+            self._listeners[event_name] = []
+        self._listeners[event_name].append(callback)
+
+    def emit(self, event_name: str, *args: Any, **kwargs: Any):
+        """
+        Emits an event, calling all registered callbacks.
+        
+        Args:
+            event_name: The name of the event to emit.
+            *args: Positional arguments to pass to callbacks.
+            **kwargs: Keyword arguments to pass to callbacks.
+        """
+        if event_name in self._listeners:
+            for callback in self._listeners[event_name]:
+                callback(*args, **kwargs)

gui_2.py

@@ -4,6 +4,8 @@ import threading
 import time
 import math
 import json
+import sys
+import os
 from pathlib import Path
 from tkinter import filedialog, Tk
 import aggregate
@@ -14,6 +16,9 @@ import session_logger
 import project_manager
 import theme_2 as theme
 import tomllib
+import numpy as np
+import api_hooks
+from performance_monitor import PerformanceMonitor
 
 from imgui_bundle import imgui, hello_imgui, immapp
 
@@ -56,6 +61,15 @@ KIND_COLORS = {"request": C_REQ, "response": C_RES, "tool_call": C_TC, "tool_res
 HEAVY_KEYS = {"message", "text", "script", "output", "content"}
 
 DISC_ROLES = ["User", "AI", "Vendor API", "System"]
+AGENT_TOOL_NAMES = ["run_powershell", "read_file", "list_directory", "search_files", "get_file_summary", "web_search", "fetch_url"]
+
+def truncate_entries(entries: list[dict], max_pairs: int) -> list[dict]:
+    if max_pairs <= 0:
+        return []
+    target_count = max_pairs * 2
+    if len(entries) <= target_count:
+        return entries
+    return entries[-target_count:]
 
 def _parse_history_entries(history: list[str], roles: list[str] | None = None) -> list[dict]:
     known = roles if roles is not None else DISC_ROLES
@@ -86,6 +100,9 @@ class App:
         self.current_provider: str = ai_cfg.get("provider", "gemini")
         self.current_model: str = ai_cfg.get("model", "gemini-2.0-flash")
         self.available_models: list[str] = []
+        self.temperature: float = ai_cfg.get("temperature", 0.0)
+        self.max_tokens: int = ai_cfg.get("max_tokens", 8192)
+        self.history_trunc_limit: int = ai_cfg.get("history_trunc_limit", 8000)
 
         projects_cfg = self.config.get("projects", {})
         self.project_paths: list[str] = list(projects_cfg.get("paths", []))
@@ -116,6 +133,7 @@ class App:
         self.ui_project_main_context = proj_meta.get("main_context", "")
         self.ui_project_system_prompt = proj_meta.get("system_prompt", "")
         self.ui_word_wrap = proj_meta.get("word_wrap", True)
+        self.ui_summary_only = proj_meta.get("summary_only", False)
         self.ui_auto_add_history = disc_sec.get("auto_add", False)
         
         self.ui_global_system_prompt = self.config.get("ai", {}).get("system_prompt", "")
@@ -134,9 +152,10 @@ class App:
         self.last_file_items: list = []
         
         self.send_thread: threading.Thread | None = None
+        self._send_thread_lock = threading.Lock()
         self.models_thread: threading.Thread | None = None
 
-        self.show_windows = {
+        _default_windows = {
             "Projects": True,
             "Files": True,
             "Screenshots": True,
@@ -148,7 +167,10 @@ class App:
             "Comms History": True,
             "System Prompts": True,
             "Theme": True,
+            "Diagnostics": False,
         }
+        saved = self.config.get("gui", {}).get("show_windows", {})
+        self.show_windows = {k: saved.get(k, v) for k, v in _default_windows.items()}
         self.show_script_output = False
         self.show_text_viewer = False
         self.text_viewer_title = ""
@@ -176,12 +198,55 @@ class App:
         self._is_script_blinking = False
         self._script_blink_start_time = 0.0
 
+        self._scroll_disc_to_bottom = False
+
+        # GUI Task Queue (thread-safe, for event handlers and hook server)
+        self._pending_gui_tasks: list[dict] = []
+        self._pending_gui_tasks_lock = threading.Lock()
+
+        # Session usage tracking
+        self.session_usage = {"input_tokens": 0, "output_tokens": 0, "cache_read_input_tokens": 0, "cache_creation_input_tokens": 0}
+
+        # Token budget / cache telemetry
+        self._token_budget_pct = 0.0
+        self._token_budget_current = 0
+        self._token_budget_limit = 0
+        self._gemini_cache_text = ""
+
+        # Discussion truncation
+        self.ui_disc_truncate_pairs: int = 2
+
+        # Agent tools config
+        agent_tools_cfg = self.project.get("agent", {}).get("tools", {})
+        self.ui_agent_tools: dict[str, bool] = {t: agent_tools_cfg.get(t, True) for t in AGENT_TOOL_NAMES}
+
+        # Prior session log viewing
+        self.is_viewing_prior_session = False
+        self.prior_session_entries: list[dict] = []
+
+        # API Hooks
+        self.test_hooks_enabled = ("--enable-test-hooks" in sys.argv) or (os.environ.get("SLOP_TEST_HOOKS") == "1")
+
+        # Performance monitoring
+        self.perf_monitor = PerformanceMonitor()
+        self.perf_history = {"frame_time": [0.0]*100, "fps": [0.0]*100, "cpu": [0.0]*100, "input_lag": [0.0]*100}
+        self._perf_last_update = 0.0
+
+        # Auto-save timer (every 60s)
+        self._autosave_interval = 60.0
+        self._last_autosave = time.time()
+
         session_logger.open_session()
         ai_client.set_provider(self.current_provider, self.current_model)
         ai_client.confirm_and_run_callback = self._confirm_and_run
         ai_client.comms_log_callback = self._on_comms_entry
         ai_client.tool_log_callback = self._on_tool_log
 
+        # AI client event subscriptions
+        ai_client.events.on("request_start", self._on_api_event)
+        ai_client.events.on("response_received", self._on_api_event)
+        ai_client.events.on("tool_execution", self._on_api_event)
+
     # ---------------------------------------------------------------- project loading
 
     def _load_active_project(self):
@@ -248,6 +313,10 @@ class App:
         self.ui_project_main_context = proj.get("project", {}).get("main_context", "")
         self.ui_auto_add_history = proj.get("discussion", {}).get("auto_add", False)
         self.ui_word_wrap = proj.get("project", {}).get("word_wrap", True)
+        self.ui_summary_only = proj.get("project", {}).get("summary_only", False)
+
+        agent_tools_cfg = proj.get("agent", {}).get("tools", {})
+        self.ui_agent_tools = {t: agent_tools_cfg.get(t, True) for t in AGENT_TOOL_NAMES}
 
     def _save_active_project(self):
         if self.active_project_path:
@@ -332,6 +401,76 @@ class App:
     def _on_tool_log(self, script: str, result: str):
         session_logger.log_tool_call(script, result, None)
 
+    def _on_api_event(self, *args, **kwargs):
+        payload = kwargs.get("payload", {})
+        with self._pending_gui_tasks_lock:
+            self._pending_gui_tasks.append({"action": "refresh_api_metrics", "payload": payload})
+
+    def _process_pending_gui_tasks(self):
+        if not self._pending_gui_tasks:
+            return
+        with self._pending_gui_tasks_lock:
+            tasks = self._pending_gui_tasks[:]
+            self._pending_gui_tasks.clear()
+        for task in tasks:
+            try:
+                action = task.get("action")
+                if action == "refresh_api_metrics":
+                    self._refresh_api_metrics(task.get("payload", {}))
+            except Exception as e:
+                print(f"Error executing GUI task: {e}")
+
+    def _recalculate_session_usage(self):
+        usage = {"input_tokens": 0, "output_tokens": 0, "cache_read_input_tokens": 0, "cache_creation_input_tokens": 0}
+        for entry in ai_client.get_comms_log():
+            if entry.get("kind") == "response" and "usage" in entry.get("payload", {}):
+                u = entry["payload"]["usage"]
+                for k in usage.keys():
+                    usage[k] += u.get(k, 0) or 0
+        self.session_usage = usage
+
+    def _refresh_api_metrics(self, payload: dict):
+        self._recalculate_session_usage()
+        try:
+            stats = ai_client.get_history_bleed_stats()
+            self._token_budget_pct = stats.get("percentage", 0.0) / 100.0
+            self._token_budget_current = stats.get("current", 0)
+            self._token_budget_limit = stats.get("limit", 0)
+        except Exception:
+            pass
+        cache_stats = payload.get("cache_stats")
+        if cache_stats:
+            count = cache_stats.get("cache_count", 0)
+            size_bytes = cache_stats.get("total_size_bytes", 0)
+            self._gemini_cache_text = f"Gemini Caches: {count} ({size_bytes / 1024:.1f} KB)"
+
+    def cb_load_prior_log(self):
+        root = hide_tk_root()
+        path = filedialog.askopenfilename(
+            title="Load Session Log",
+            initialdir="logs",
+            filetypes=[("Log/JSONL", "*.log *.jsonl"), ("All Files", "*.*")]
+        )
+        root.destroy()
+        if not path:
+            return
+        entries = []
+        try:
+            with open(path, "r", encoding="utf-8") as f:
+                for line in f:
+                    line = line.strip()
+                    if line:
+                        try:
+                            entries.append(json.loads(line))
+                        except json.JSONDecodeError:
+                            continue
+        except Exception as e:
+            self.ai_status = f"log load error: {e}"
+            return
+        self.prior_session_entries = entries
+        self.is_viewing_prior_session = True
+        self.ai_status = f"viewing prior session: {Path(path).name} ({len(entries)} entries)"
+
     def _confirm_and_run(self, script: str, base_dir: str) -> str | None:
         dialog = ConfirmDialog(script, base_dir)
         with self._pending_dialog_lock:
@@ -368,6 +507,11 @@ class App:
         proj["project"]["system_prompt"] = self.ui_project_system_prompt
         proj["project"]["main_context"] = self.ui_project_main_context
         proj["project"]["word_wrap"] = self.ui_word_wrap
+        proj["project"]["summary_only"] = self.ui_summary_only
+
+        proj.setdefault("agent", {}).setdefault("tools", {})
+        for t_name in AGENT_TOOL_NAMES:
+            proj["agent"]["tools"][t_name] = self.ui_agent_tools.get(t_name, True)
 
         self._flush_disc_entries_to_project()
         disc_sec = proj.setdefault("discussion", {})
@@ -376,18 +520,35 @@ class App:
         disc_sec["auto_add"] = self.ui_auto_add_history
 
     def _flush_to_config(self):
-        self.config["ai"] = {"provider": self.current_provider, "model": self.current_model}
+        self.config["ai"] = {
+            "provider": self.current_provider,
+            "model": self.current_model,
+            "temperature": self.temperature,
+            "max_tokens": self.max_tokens,
+            "history_trunc_limit": self.history_trunc_limit,
+        }
         self.config["ai"]["system_prompt"] = self.ui_global_system_prompt
         self.config["projects"] = {"paths": self.project_paths, "active": self.active_project_path}
+        self.config["gui"] = {"show_windows": self.show_windows}
         theme.save_to_config(self.config)
 
-    def _do_generate(self) -> tuple[str, Path, list]:
+    def _do_generate(self) -> tuple[str, Path, list, str, str]:
+        """Returns (full_md, output_path, file_items, stable_md, discussion_text)."""
         self._flush_to_project()
         self._save_active_project()
         self._flush_to_config()
         save_config(self.config)
         flat = project_manager.flat_config(self.project, self.active_discussion)
-        return aggregate.run(flat)
+        full_md, path, file_items = aggregate.run(flat)
+        # Build stable markdown (no history) for Gemini caching
+        screenshot_base_dir = Path(flat.get("screenshots", {}).get("base_dir", "."))
+        screenshots = flat.get("screenshots", {}).get("paths", [])
+        summary_only = flat.get("project", {}).get("summary_only", False)
+        stable_md = aggregate.build_markdown_no_history(file_items, screenshot_base_dir, screenshots, summary_only=summary_only)
+        # Build discussion history text separately
+        history = flat.get("discussion", {}).get("history", [])
+        discussion_text = aggregate.build_discussion_text(history)
+        return full_md, path, file_items, stable_md, discussion_text
 
     def _fetch_models(self, provider: str):
         self.ai_status = "fetching models..."
@@ -434,6 +595,23 @@ class App:
     # ---------------------------------------------------------------- gui
 
     def _gui_func(self):
+        self.perf_monitor.start_frame()
+
+        # Process GUI task queue
+        self._process_pending_gui_tasks()
+
+        # Auto-save (every 60s)
+        now = time.time()
+        if now - self._last_autosave >= self._autosave_interval:
+            self._last_autosave = now
+            try:
+                self._flush_to_project()
+                self._save_active_project()
+                self._flush_to_config()
+                save_config(self.config)
+            except Exception:
+                pass  # silent — don't disrupt the GUI loop
+
         # Sync pending comms
         with self._pending_comms_lock:
             for c in self._pending_comms:
@@ -441,6 +619,8 @@ class App:
             self._pending_comms.clear()
             
         with self._pending_history_adds_lock:
+            if self._pending_history_adds:
+                self._scroll_disc_to_bottom = True
             for item in self._pending_history_adds:
                 if item["role"] not in self.disc_roles:
                     self.disc_roles.append(item["role"])
@@ -453,22 +633,22 @@ class App:
                     _, self.show_windows[w] = imgui.menu_item(w, "", self.show_windows[w])
                 imgui.end_menu()
             if imgui.begin_menu("Project"):
-                if imgui.menu_item("Save All")[0]:
+                if imgui.menu_item("Save All", "", False)[0]:
                     self._flush_to_project()
                     self._save_active_project()
                     self._flush_to_config()
                     save_config(self.config)
                     self.ai_status = "config saved"
-                if imgui.menu_item("Reset Session")[0]:
+                if imgui.menu_item("Reset Session", "", False)[0]:
                     ai_client.reset_session()
                     ai_client.clear_comms_log()
                     self._tool_log.clear()
                     self._comms_log.clear()
                     self.ai_status = "session reset"
                     self.ai_response = ""
-                if imgui.menu_item("Generate MD Only")[0]:
+                if imgui.menu_item("Generate MD Only", "", False)[0]:
                     try:
-                        md, path, _ = self._do_generate()
+                        md, path, *_ = self._do_generate()
                         self.last_md = md
                         self.last_md_path = path
                         self.ai_status = f"md written: {path.name}"
@@ -535,7 +715,10 @@ class App:
 
                 if imgui.button("Add Project"):
                     r = hide_tk_root()
-                    p = filedialog.askopenfilename(title="Select Project .toml", filetypes=[("TOML", "*.toml"), ("All", "*.*")])
+                    p = filedialog.askopenfilename(
+                        title="Select Project .toml",
+                        filetypes=[("TOML", "*.toml"), ("All", "*.*")],
+                    )
                     r.destroy()
                     if p and p not in self.project_paths:
                         self.project_paths.append(p)
@@ -560,6 +743,14 @@ class App:
                     self.ai_status = "config saved"
 
                 ch, self.ui_word_wrap = imgui.checkbox("Word-Wrap (Read-only panels)", self.ui_word_wrap)
+                ch, self.ui_summary_only = imgui.checkbox("Summary Only (send file structure, not full content)", self.ui_summary_only)
+
+                if imgui.collapsing_header("Agent Tools"):
+                    for t_name in AGENT_TOOL_NAMES:
+                        val = self.ui_agent_tools.get(t_name, True)
+                        ch, val = imgui.checkbox(f"Enable {t_name}", val)
+                        if ch:
+                            self.ui_agent_tools[t_name] = val
             imgui.end()
 
         # ---- Files
@@ -626,7 +817,10 @@ class App:
                 
                 if imgui.button("Add Screenshot(s)"):
                     r = hide_tk_root()
-                    paths = filedialog.askopenfilenames()
+                    paths = filedialog.askopenfilenames(
+                        title="Select Screenshots",
+                        filetypes=[("Images", "*.png *.jpg *.jpeg *.gif *.bmp *.webp"), ("All", "*.*")],
+                    )
                     r.destroy()
                     for p in paths:
                         if p not in self.screenshots: self.screenshots.append(p)
@@ -636,7 +830,50 @@ class App:
         if self.show_windows["Discussion History"]:
             exp, self.show_windows["Discussion History"] = imgui.begin("Discussion History", self.show_windows["Discussion History"])
             if exp:
-                if imgui.collapsing_header("Discussions", imgui.TreeNodeFlags_.default_open):
+                # THINKING indicator
+                is_thinking = self.ai_status in ["sending..."]
+                if is_thinking:
+                    val = math.sin(time.time() * 10 * math.pi)
+                    alpha = 1.0 if val > 0 else 0.0
+                    imgui.text_colored(imgui.ImVec4(1.0, 0.39, 0.39, alpha), "THINKING...")
+                    imgui.separator()
+
+                # Prior session viewing mode
+                if self.is_viewing_prior_session:
+                    imgui.push_style_color(imgui.Col_.child_bg, vec4(50, 40, 20))
+                    imgui.text_colored(vec4(255, 200, 100), "VIEWING PRIOR SESSION")
+                    imgui.same_line()
+                    if imgui.button("Exit Prior Session"):
+                        self.is_viewing_prior_session = False
+                        self.prior_session_entries.clear()
+                    imgui.separator()
+                    imgui.begin_child("prior_scroll", imgui.ImVec2(0, 0), False)
+                    for idx, entry in enumerate(self.prior_session_entries):
+                        imgui.push_id(f"prior_{idx}")
+                        kind = entry.get("kind", entry.get("type", ""))
+                        imgui.text_colored(C_LBL, f"#{idx+1}")
+                        imgui.same_line()
+                        ts = entry.get("ts", entry.get("timestamp", ""))
+                        if ts:
+                            imgui.text_colored(vec4(160, 160, 160), str(ts))
+                            imgui.same_line()
+                        imgui.text_colored(C_KEY, str(kind))
+                        payload = entry.get("payload", entry)
+                        text = payload.get("text", payload.get("message", payload.get("content", "")))
+                        if text:
+                            preview = str(text).replace("\n", " ")[:200]
+                            if self.ui_word_wrap:
+                                imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
+                                imgui.text(preview)
+                                imgui.pop_text_wrap_pos()
+                            else:
+                                imgui.text(preview)
+                        imgui.separator()
+                        imgui.pop_id()
+                    imgui.end_child()
+                    imgui.pop_style_color()
+
+                if not self.is_viewing_prior_session and imgui.collapsing_header("Discussions", imgui.TreeNodeFlags_.default_open):
                     names = self._get_discussion_names()
                     
                     if imgui.begin_combo("##disc_sel", self.active_discussion):
@@ -683,103 +920,121 @@ class App:
                     if imgui.button("Delete"):
                         self._delete_discussion(self.active_discussion)
                         
-                imgui.separator()
+                if not self.is_viewing_prior_session:
-                if imgui.button("+ Entry"):
-                    self.disc_entries.append({"role": self.disc_roles[0] if self.disc_roles else "User", "content": "", "collapsed": False, "ts": project_manager.now_ts()})
-                imgui.same_line()
-                if imgui.button("-All"):
-                    for e in self.disc_entries: e["collapsed"] = True
-                imgui.same_line()
-                if imgui.button("+All"):
-                    for e in self.disc_entries: e["collapsed"] = False
-                imgui.same_line()
-                if imgui.button("Clear All"):
-                    self.disc_entries.clear()
-                imgui.same_line()
-                if imgui.button("Save"):
-                    self._flush_to_project()
-                    self._save_active_project()
-                    self._flush_to_config()
-                    save_config(self.config)
-                    self.ai_status = "discussion saved"
-                    
-                ch, self.ui_auto_add_history = imgui.checkbox("Auto-add message & response to history", self.ui_auto_add_history)
-                imgui.separator()
-                
-                if imgui.collapsing_header("Roles"):
-                    imgui.begin_child("roles_scroll", imgui.ImVec2(0, 100), True)
-                    for i, r in enumerate(self.disc_roles):
-                        if imgui.button(f"x##r{i}"):
-                            self.disc_roles.pop(i)
-                            break
-                        imgui.same_line()
-                        imgui.text(r)
-                    imgui.end_child()
-                    ch, self.ui_disc_new_role_input = imgui.input_text("##new_role", self.ui_disc_new_role_input)
-                    imgui.same_line()
-                    if imgui.button("Add"):
-                        r = self.ui_disc_new_role_input.strip()
-                        if r and r not in self.disc_roles:
-                            self.disc_roles.append(r)
-                            self.ui_disc_new_role_input = ""
-                            
-                imgui.separator()
-                imgui.begin_child("disc_scroll", imgui.ImVec2(0, 0), False)
-                for i, entry in enumerate(self.disc_entries):
-                    imgui.push_id(str(i))
-                    collapsed = entry.get("collapsed", False)
-                    read_mode = entry.get("read_mode", False)
-                    
-                    if imgui.button("+" if collapsed else "-"):
-                        entry["collapsed"] = not collapsed
-                    imgui.same_line()
-                    
-                    imgui.set_next_item_width(120)
-                    if imgui.begin_combo("##role", entry["role"]):
-                        for r in self.disc_roles:
-                            if imgui.selectable(r, r == entry["role"])[0]:
-                                entry["role"] = r
-                        imgui.end_combo()
-                    
-                    if not collapsed:
-                        imgui.same_line()
-                        if imgui.button("[Edit]" if read_mode else "[Read]"):
-                            entry["read_mode"] = not read_mode
-                            
-                    ts_str = entry.get("ts", "")
-                    if ts_str:
-                        imgui.same_line()
-                        imgui.text_colored(vec4(120, 120, 100), ts_str)
-                        
-                    if collapsed:
-                        imgui.same_line()
-                        if imgui.button("Ins"):
-                            self.disc_entries.insert(i, {"role": "User", "content": "", "collapsed": False, "ts": project_manager.now_ts()})
-                        imgui.same_line()
-                        self._render_text_viewer(f"Entry #{i+1}", entry["content"])
-                        imgui.same_line()
-                        if imgui.button("Del"):
-                            self.disc_entries.pop(i)
-                            imgui.pop_id()
-                            break
-                        imgui.same_line()
-                        preview = entry["content"].replace("\n", " ")[:60]
-                        if len(entry["content"]) > 60: preview += "..."
-                        imgui.text_colored(vec4(160, 160, 150), preview)
-                    
-                    if not collapsed:
-                        if read_mode:
-                            imgui.begin_child("read_content", imgui.ImVec2(0, 150), True)
-                            if self.ui_word_wrap: imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
-                            imgui.text(entry["content"])
-                            if self.ui_word_wrap: imgui.pop_text_wrap_pos()
-                            imgui.end_child()
-                        else:
-                            ch, entry["content"] = imgui.input_text_multiline("##content", entry["content"], imgui.ImVec2(-1, 150))
-                            
                     imgui.separator()
-                    imgui.pop_id()
+                    if imgui.button("+ Entry"):
-                imgui.end_child()
+                        self.disc_entries.append({"role": self.disc_roles[0] if self.disc_roles else "User", "content": "", "collapsed": False, "ts": project_manager.now_ts()})
+                    imgui.same_line()
+                    if imgui.button("-All"):
+                        for e in self.disc_entries: e["collapsed"] = True
+                    imgui.same_line()
+                    if imgui.button("+All"):
+                        for e in self.disc_entries: e["collapsed"] = False
+                    imgui.same_line()
+                    if imgui.button("Clear All"):
+                        self.disc_entries.clear()
+                    imgui.same_line()
+                    if imgui.button("Save"):
+                        self._flush_to_project()
+                        self._save_active_project()
+                        self._flush_to_config()
+                        save_config(self.config)
+                        self.ai_status = "discussion saved"
+                    imgui.same_line()
+                    if imgui.button("Load Log"):
+                        self.cb_load_prior_log()
+
+                    ch, self.ui_auto_add_history = imgui.checkbox("Auto-add message & response to history", self.ui_auto_add_history)
+
+                    # Truncation controls
+                    imgui.text("Keep Pairs:")
+                    imgui.same_line()
+                    imgui.set_next_item_width(80)
+                    ch, self.ui_disc_truncate_pairs = imgui.input_int("##trunc_pairs", self.ui_disc_truncate_pairs, 1)
+                    if self.ui_disc_truncate_pairs < 1: self.ui_disc_truncate_pairs = 1
+                    imgui.same_line()
+                    if imgui.button("Truncate"):
+                        self.disc_entries = truncate_entries(self.disc_entries, self.ui_disc_truncate_pairs)
+                        self.ai_status = f"history truncated to {self.ui_disc_truncate_pairs} pairs"
+                    imgui.separator()
+                
+                    if imgui.collapsing_header("Roles"):
+                        imgui.begin_child("roles_scroll", imgui.ImVec2(0, 100), True)
+                        for i, r in enumerate(self.disc_roles):
+                            if imgui.button(f"x##r{i}"):
+                                self.disc_roles.pop(i)
+                                break
+                            imgui.same_line()
+                            imgui.text(r)
+                        imgui.end_child()
+                        ch, self.ui_disc_new_role_input = imgui.input_text("##new_role", self.ui_disc_new_role_input)
+                        imgui.same_line()
+                        if imgui.button("Add"):
+                            r = self.ui_disc_new_role_input.strip()
+                            if r and r not in self.disc_roles:
+                                self.disc_roles.append(r)
+                                self.ui_disc_new_role_input = ""
+
+                    imgui.separator()
+                    imgui.begin_child("disc_scroll", imgui.ImVec2(0, 0), False)
+                    for i, entry in enumerate(self.disc_entries):
+                        imgui.push_id(str(i))
+                        collapsed = entry.get("collapsed", False)
+                        read_mode = entry.get("read_mode", False)
+
+                        if imgui.button("+" if collapsed else "-"):
+                            entry["collapsed"] = not collapsed
+                        imgui.same_line()
+
+                        imgui.set_next_item_width(120)
+                        if imgui.begin_combo("##role", entry["role"]):
+                            for r in self.disc_roles:
+                                if imgui.selectable(r, r == entry["role"])[0]:
+                                    entry["role"] = r
+                            imgui.end_combo()
+
+                        if not collapsed:
+                            imgui.same_line()
+                            if imgui.button("[Edit]" if read_mode else "[Read]"):
+                                entry["read_mode"] = not read_mode
+
+                        ts_str = entry.get("ts", "")
+                        if ts_str:
+                            imgui.same_line()
+                            imgui.text_colored(vec4(120, 120, 100), ts_str)
+
+                        if collapsed:
+                            imgui.same_line()
+                            if imgui.button("Ins"):
+                                self.disc_entries.insert(i, {"role": "User", "content": "", "collapsed": False, "ts": project_manager.now_ts()})
+                            imgui.same_line()
+                            self._render_text_viewer(f"Entry #{i+1}", entry["content"])
+                            imgui.same_line()
+                            if imgui.button("Del"):
+                                self.disc_entries.pop(i)
+                                imgui.pop_id()
+                                break
+                            imgui.same_line()
+                            preview = entry["content"].replace("\n", " ")[:60]
+                            if len(entry["content"]) > 60: preview += "..."
+                            imgui.text_colored(vec4(160, 160, 150), preview)
+
+                        if not collapsed:
+                            if read_mode:
+                                imgui.begin_child("read_content", imgui.ImVec2(0, 150), True)
+                                if self.ui_word_wrap: imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
+                                imgui.text(entry["content"])
+                                if self.ui_word_wrap: imgui.pop_text_wrap_pos()
+                                imgui.end_child()
+                            else:
+                                ch, entry["content"] = imgui.input_text_multiline("##content", entry["content"], imgui.ImVec2(-1, 150))
+
+                        imgui.separator()
+                        imgui.pop_id()
+                    if self._scroll_disc_to_bottom:
+                        imgui.set_scroll_here_y(1.0)
+                        self._scroll_disc_to_bottom = False
+                    imgui.end_child()
             imgui.end()
 
         # ---- Provider
@@ -809,18 +1064,55 @@ class App:
                             ai_client.reset_session()
                             ai_client.set_provider(self.current_provider, m)
                     imgui.end_list_box()
+                imgui.separator()
+                imgui.text("Parameters")
+                ch, self.temperature = imgui.slider_float("Temperature", self.temperature, 0.0, 2.0, "%.2f")
+                ch, self.max_tokens = imgui.input_int("Max Tokens (Output)", self.max_tokens, 1024)
+                ch, self.history_trunc_limit = imgui.input_int("History Truncation Limit", self.history_trunc_limit, 1024)
+
+                imgui.separator()
+                imgui.text("Telemetry")
+                usage = self.session_usage
+                total = usage["input_tokens"] + usage["output_tokens"]
+                imgui.text_colored(C_RES, f"Tokens: {total:,} (In: {usage['input_tokens']:,} Out: {usage['output_tokens']:,})")
+                if usage["cache_read_input_tokens"]:
+                    imgui.text_colored(C_LBL, f"  Cache Read: {usage['cache_read_input_tokens']:,}  Creation: {usage['cache_creation_input_tokens']:,}")
+                imgui.text("Token Budget:")
+                imgui.progress_bar(self._token_budget_pct, imgui.ImVec2(-1, 0), f"{self._token_budget_current:,} / {self._token_budget_limit:,}")
+                if self._gemini_cache_text:
+                    imgui.text_colored(C_SUB, self._gemini_cache_text)
             imgui.end()
 
         # ---- Message
         if self.show_windows["Message"]:
             exp, self.show_windows["Message"] = imgui.begin("Message", self.show_windows["Message"])
             if exp:
+                # LIVE indicator
+                is_live = self.ai_status in ["running powershell...", "fetching url...", "searching web...", "powershell done, awaiting AI..."]
+                if is_live:
+                    val = math.sin(time.time() * 10 * math.pi)
+                    alpha = 1.0 if val > 0 else 0.0
+                    imgui.text_colored(imgui.ImVec4(0.39, 1.0, 0.39, alpha), "LIVE")
+                    imgui.separator()
+
                 ch, self.ui_ai_input = imgui.input_text_multiline("##ai_in", self.ui_ai_input, imgui.ImVec2(-1, -40))
+
+                # Keyboard shortcuts
+                io = imgui.get_io()
+                ctrl_enter = io.key_ctrl and imgui.is_key_pressed(imgui.Key.enter)
+                ctrl_l = io.key_ctrl and imgui.is_key_pressed(imgui.Key.l)
+                if ctrl_l:
+                    self.ui_ai_input = ""
+
                 imgui.separator()
-                if imgui.button("Gen + Send"):
+                send_busy = False
-                    if not (self.send_thread and self.send_thread.is_alive()):
+                with self._send_thread_lock:
+                    if self.send_thread and self.send_thread.is_alive():
+                        send_busy = True
+                if imgui.button("Gen + Send") or ctrl_enter:
+                    if not send_busy:
                         try:
-                            md, path, file_items = self._do_generate()
+                            md, path, file_items, stable_md, disc_text = self._do_generate()
                             self.last_md = md
                             self.last_md_path = path
                             self.last_file_items = file_items
@@ -832,13 +1124,17 @@ class App:
                             base_dir = self.ui_files_base_dir
                             csp = filter(bool, [self.ui_global_system_prompt.strip(), self.ui_project_system_prompt.strip()])
                             ai_client.set_custom_system_prompt("\n\n".join(csp))
-                            
+                            ai_client.set_model_params(self.temperature, self.max_tokens, self.history_trunc_limit)
+                            ai_client.set_agent_tools(self.ui_agent_tools)
+                            send_md = stable_md
+                            send_disc = disc_text
+
                             def do_send():
                                 if self.ui_auto_add_history:
                                     with self._pending_history_adds_lock:
                                         self._pending_history_adds.append({"role": "User", "content": user_msg, "collapsed": False, "ts": project_manager.now_ts()})
                                 try:
-                                    resp = ai_client.send(self.last_md, user_msg, base_dir, self.last_file_items)
+                                    resp = ai_client.send(send_md, user_msg, base_dir, self.last_file_items, send_disc)
                                     self.ai_response = resp
                                     self.ai_status = "done"
                                     self._trigger_blink = True
@@ -859,13 +1155,14 @@ class App:
                                     if self.ui_auto_add_history:
                                         with self._pending_history_adds_lock:
                                             self._pending_history_adds.append({"role": "System", "content": self.ai_response, "collapsed": False, "ts": project_manager.now_ts()})
-                                            
+
-                            self.send_thread = threading.Thread(target=do_send, daemon=True)
+                            with self._send_thread_lock:
-                            self.send_thread.start()
+                                self.send_thread = threading.Thread(target=do_send, daemon=True)
+                                self.send_thread.start()
                 imgui.same_line()
                 if imgui.button("MD Only"):
                     try:
-                        md, path, _ = self._do_generate()
+                        md, path, *_ = self._do_generate()
                         self.last_md = md
                         self.last_md_path = path
                         self.ai_status = f"md written: {path.name}"
@@ -1140,6 +1437,67 @@ class App:
                 if ch: theme.set_scale(scale)
             imgui.end()
 
+        # ---- Diagnostics
+        if self.show_windows["Diagnostics"]:
+            exp, self.show_windows["Diagnostics"] = imgui.begin("Diagnostics", self.show_windows["Diagnostics"])
+            if exp:
+                now = time.time()
+                if now - self._perf_last_update >= 0.5:
+                    self._perf_last_update = now
+                    metrics = self.perf_monitor.get_metrics()
+                    self.perf_history["frame_time"].pop(0)
+                    self.perf_history["frame_time"].append(metrics.get("last_frame_time_ms", 0.0))
+                    self.perf_history["fps"].pop(0)
+                    self.perf_history["fps"].append(metrics.get("fps", 0.0))
+                    self.perf_history["cpu"].pop(0)
+                    self.perf_history["cpu"].append(metrics.get("cpu_percent", 0.0))
+                    self.perf_history["input_lag"].pop(0)
+                    self.perf_history["input_lag"].append(metrics.get("input_lag_ms", 0.0))
+
+                metrics = self.perf_monitor.get_metrics()
+                imgui.text("Performance Telemetry")
+                imgui.separator()
+
+                if imgui.begin_table("perf_table", 2, imgui.TableFlags_.borders_inner_h):
+                    imgui.table_setup_column("Metric")
+                    imgui.table_setup_column("Value")
+                    imgui.table_headers_row()
+
+                    imgui.table_next_row()
+                    imgui.table_next_column()
+                    imgui.text("FPS")
+                    imgui.table_next_column()
+                    imgui.text(f"{metrics.get('fps', 0.0):.1f}")
+
+                    imgui.table_next_row()
+                    imgui.table_next_column()
+                    imgui.text("Frame Time (ms)")
+                    imgui.table_next_column()
+                    imgui.text(f"{metrics.get('last_frame_time_ms', 0.0):.2f}")
+
+                    imgui.table_next_row()
+                    imgui.table_next_column()
+                    imgui.text("CPU %")
+                    imgui.table_next_column()
+                    imgui.text(f"{metrics.get('cpu_percent', 0.0):.1f}")
+
+                    imgui.table_next_row()
+                    imgui.table_next_column()
+                    imgui.text("Input Lag (ms)")
+                    imgui.table_next_column()
+                    imgui.text(f"{metrics.get('input_lag_ms', 0.0):.1f}")
+
+                    imgui.end_table()
+
+                imgui.separator()
+                imgui.text("Frame Time (ms)")
+                imgui.plot_lines("##ft_plot", np.array(self.perf_history["frame_time"], dtype=np.float32), overlay_text="frame_time", graph_size=imgui.ImVec2(-1, 60))
+                imgui.text("CPU %")
+                imgui.plot_lines("##cpu_plot", np.array(self.perf_history["cpu"], dtype=np.float32), overlay_text="cpu", graph_size=imgui.ImVec2(-1, 60))
+            imgui.end()
+
+        self.perf_monitor.end_frame()
+
         # ---- Modals / Popups
         with self._pending_dialog_lock:
             dlg = self._pending_dialog
@@ -1247,22 +1605,35 @@ class App:
         if font_path and Path(font_path).exists():
             hello_imgui.load_font(font_path, font_size)
 
+    def _post_init(self):
+        theme.apply_current()
+
     def run(self):
         theme.load_from_config(self.config)
-        
+
         self.runner_params = hello_imgui.RunnerParams()
         self.runner_params.app_window_params.window_title = "manual slop"
         self.runner_params.app_window_params.window_geometry.size = (1680, 1200)
         self.runner_params.imgui_window_params.enable_viewports = True
         self.runner_params.imgui_window_params.default_imgui_window_type = hello_imgui.DefaultImGuiWindowType.provide_full_screen_dock_space
+        self.runner_params.ini_folder_type = hello_imgui.IniFolderType.current_folder
+        self.runner_params.ini_filename = "manualslop_layout.ini"
         self.runner_params.callbacks.show_gui = self._gui_func
         self.runner_params.callbacks.load_additional_fonts = self._load_fonts
+        self.runner_params.callbacks.post_init = self._post_init
         
         self._fetch_models(self.current_provider)
-        
+
+        # Start API hooks server (if enabled)
+        self.hook_server = api_hooks.HookServer(self)
+        self.hook_server.start()
+
         immapp.run(self.runner_params)
 
         # On exit
+        self.hook_server.stop()
+        self.perf_monitor.stop()
+        ai_client.cleanup()  # Destroy active API caches to stop billing
         self._flush_to_project()
         self._save_active_project()
         self._flush_to_config()

manualslop_layout.ini

@@ -0,0 +1,124 @@
+;;; !!! This configuration is handled by HelloImGui and stores several Ini Files, separated by markers like this:
+           ;;;<<<INI_NAME>>>;;;
+
+;;;<<<ImGui_655921752_Default>>>;;;
+[Window][Debug##Default]
+Pos=60,60
+Size=400,400
+Collapsed=0
+
+[Window][Projects]
+Pos=209,396
+Size=387,337
+Collapsed=0
+DockId=0x00000014,0
+
+[Window][Files]
+Pos=0,0
+Size=207,1200
+Collapsed=0
+DockId=0x00000011,0
+
+[Window][Screenshots]
+Pos=209,0
+Size=387,171
+Collapsed=0
+DockId=0x00000015,0
+
+[Window][Discussion History]
+Pos=598,128
+Size=554,619
+Collapsed=0
+DockId=0x0000000E,0
+
+[Window][Provider]
+Pos=209,913
+Size=387,287
+Collapsed=0
+DockId=0x0000000A,0
+
+[Window][Message]
+Pos=598,749
+Size=554,451
+Collapsed=0
+DockId=0x0000000C,0
+
+[Window][Response]
+Pos=209,735
+Size=387,176
+Collapsed=0
+DockId=0x00000010,0
+
+[Window][Tool Calls]
+Pos=1154,733
+Size=526,144
+Collapsed=0
+DockId=0x00000008,0
+
+[Window][Comms History]
+Pos=1154,879
+Size=526,321
+Collapsed=0
+DockId=0x00000006,0
+
+[Window][System Prompts]
+Pos=1154,0
+Size=286,731
+Collapsed=0
+DockId=0x00000017,0
+
+[Window][Theme]
+Pos=209,173
+Size=387,221
+Collapsed=0
+DockId=0x00000016,0
+
+[Window][Text Viewer - Entry #7]
+Pos=379,324
+Size=900,700
+Collapsed=0
+
+[Window][Diagnostics]
+Pos=1442,0
+Size=238,731
+Collapsed=0
+DockId=0x00000018,0
+
+[Docking][Data]
+DockSpace               ID=0xAFC85805 Window=0x079D3A04 Pos=346,232 Size=1680,1200 Split=X
+  DockNode              ID=0x00000011 Parent=0xAFC85805 SizeRef=207,1200 Selected=0x0469CA7A
+  DockNode              ID=0x00000012 Parent=0xAFC85805 SizeRef=1559,1200 Split=X
+    DockNode            ID=0x00000003 Parent=0x00000012 SizeRef=943,1200 Split=X
+      DockNode          ID=0x00000001 Parent=0x00000003 SizeRef=387,1200 Split=Y Selected=0x8CA2375C
+        DockNode        ID=0x00000009 Parent=0x00000001 SizeRef=405,911 Split=Y Selected=0x8CA2375C
+          DockNode      ID=0x0000000F Parent=0x00000009 SizeRef=405,733 Split=Y Selected=0x8CA2375C
+            DockNode    ID=0x00000013 Parent=0x0000000F SizeRef=405,394 Split=Y Selected=0x8CA2375C
+              DockNode  ID=0x00000015 Parent=0x00000013 SizeRef=405,171 Selected=0xDF822E02
+              DockNode  ID=0x00000016 Parent=0x00000013 SizeRef=405,221 Selected=0x8CA2375C
+            DockNode    ID=0x00000014 Parent=0x0000000F SizeRef=405,337 Selected=0xDA22FEDA
+          DockNode      ID=0x00000010 Parent=0x00000009 SizeRef=405,176 Selected=0x0D5A5273
+        DockNode        ID=0x0000000A Parent=0x00000001 SizeRef=405,287 Selected=0xA07B5F14
+      DockNode          ID=0x00000002 Parent=0x00000003 SizeRef=554,1200 Split=Y
+        DockNode        ID=0x0000000B Parent=0x00000002 SizeRef=1010,747 Split=Y
+          DockNode      ID=0x0000000D Parent=0x0000000B SizeRef=1010,126 CentralNode=1
+          DockNode      ID=0x0000000E Parent=0x0000000B SizeRef=1010,619 Selected=0x5D11106F
+        DockNode        ID=0x0000000C Parent=0x00000002 SizeRef=1010,451 Selected=0x66CFB56E
+    DockNode            ID=0x00000004 Parent=0x00000012 SizeRef=526,1200 Split=Y Selected=0xDD6419BC
+      DockNode          ID=0x00000005 Parent=0x00000004 SizeRef=261,877 Split=Y Selected=0xDD6419BC
+        DockNode        ID=0x00000007 Parent=0x00000005 SizeRef=261,731 Split=X Selected=0xDD6419BC
+          DockNode      ID=0x00000017 Parent=0x00000007 SizeRef=286,731 Selected=0xDD6419BC
+          DockNode      ID=0x00000018 Parent=0x00000007 SizeRef=238,731 Selected=0xB4CBF21A
+        DockNode        ID=0x00000008 Parent=0x00000005 SizeRef=261,144 Selected=0x1D56B311
+      DockNode          ID=0x00000006 Parent=0x00000004 SizeRef=261,321 Selected=0x8B4EBFA6
+
+;;;<<<Layout_655921752_Default>>>;;;
+;;;<<<HelloImGui_Misc>>>;;;
+[Layout]
+Name=Default
+[StatusBar]
+Show=false
+ShowFps=true
+[Theme]
+Name=DarculaDarker
+;;;<<<SplitIds>>>;;;
+{"gImGuiSplitIDs":{"MainDockSpace":2949142533}}

mcp_client.py

@@ -45,6 +45,9 @@ _allowed_paths: set[Path] = set()
 _base_dirs: set[Path] = set()
 _primary_base_dir: Path | None = None
 
+# Injected by gui.py - returns a dict of performance metrics
+perf_monitor_callback = None
+
 
 def configure(file_items: list[dict], extra_base_dirs: list[str] | None = None):
     """
@@ -62,7 +65,10 @@ def configure(file_items: list[dict], extra_base_dirs: list[str] | None = None):
     for item in file_items:
         p = item.get("path")
         if p is not None:
-            rp = Path(p).resolve()
+            try:
+                rp = Path(p).resolve(strict=True)
+            except (OSError, ValueError):
+                rp = Path(p).resolve()
             _allowed_paths.add(rp)
             _base_dirs.add(rp.parent)
 
@@ -79,8 +85,13 @@ def _is_allowed(path: Path) -> bool:
     A path is allowed if:
       - it is explicitly in _allowed_paths, OR
       - it is contained within (or equal to) one of the _base_dirs
+    All paths are resolved (follows symlinks) before comparison to prevent
+    symlink-based path traversal.
     """
-    rp = path.resolve()
+    try:
+        rp = path.resolve(strict=True)
+    except (OSError, ValueError):
+        rp = path.resolve()
     if rp in _allowed_paths:
         return True
     for bd in _base_dirs:
@@ -101,7 +112,10 @@ def _resolve_and_check(raw_path: str) -> tuple[Path | None, str]:
         p = Path(raw_path)
         if not p.is_absolute() and _primary_base_dir:
             p = _primary_base_dir / p
-        p = p.resolve()
+        try:
+            p = p.resolve(strict=True)
+        except (OSError, ValueError):
+            p = p.resolve()
     except Exception as e:
         return None, f"ERROR: invalid path '{raw_path}': {e}"
     if not _is_allowed(p):
@@ -266,7 +280,8 @@ def web_search(query: str) -> str:
     url = "https://html.duckduckgo.com/html/?q=" + urllib.parse.quote(query)
     req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'})
     try:
-        html = urllib.request.urlopen(req, timeout=10).read().decode('utf-8', errors='ignore')
+        with urllib.request.urlopen(req, timeout=10) as resp:
+            html = resp.read().decode('utf-8', errors='ignore')
         parser = _DDGParser()
         parser.feed(html)
         if not parser.results:
@@ -289,7 +304,8 @@ def fetch_url(url: str) -> str:
 
     req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'})
     try:
-        html = urllib.request.urlopen(req, timeout=10).read().decode('utf-8', errors='ignore')
+        with urllib.request.urlopen(req, timeout=10) as resp:
+            html = resp.read().decode('utf-8', errors='ignore')
         parser = _TextExtractor()
         parser.feed(html)
         full_text = " ".join(parser.text)
@@ -300,11 +316,27 @@ def fetch_url(url: str) -> str:
         return full_text
     except Exception as e:
         return f"ERROR fetching URL '{url}': {e}"
+    
+    
+def get_ui_performance() -> str:
+    """Returns current UI performance metrics (FPS, Frame Time, CPU, Input Lag)."""
+    if perf_monitor_callback is None:
+        return "ERROR: Performance monitor callback not registered."
+    try:
+        metrics = perf_monitor_callback()
+        # Clean up the dict string for the AI
+        metric_str = str(metrics)
+        for char in "{}'":
+            metric_str = metric_str.replace(char, "")
+        return f"UI Performance Snapshot:\n{metric_str}"
+    except Exception as e:
+        return f"ERROR: Failed to retrieve UI performance: {str(e)}"
+
 
 # ------------------------------------------------------------------ tool dispatch
 
 
-TOOL_NAMES = {"read_file", "list_directory", "search_files", "get_file_summary", "web_search", "fetch_url"}
+TOOL_NAMES = {"read_file", "list_directory", "search_files", "get_file_summary", "web_search", "fetch_url", "get_ui_performance"}
 
 
 def dispatch(tool_name: str, tool_input: dict) -> str:
@@ -323,6 +355,8 @@ def dispatch(tool_name: str, tool_input: dict) -> str:
         return web_search(tool_input.get("query", ""))
     if tool_name == "fetch_url":
         return fetch_url(tool_input.get("url", ""))
+    if tool_name == "get_ui_performance":
+        return get_ui_performance()
     return f"ERROR: unknown MCP tool '{tool_name}'"
 
 
@@ -420,17 +454,11 @@ MCP_TOOL_SPECS = [
         }
     },
     {
-        "name": "fetch_url",
+        "name": "get_ui_performance",
-        "description": "Fetch a webpage and extract its text content, removing HTML tags and scripts. Useful for reading documentation or articles found via web_search.",
+        "description": "Get a snapshot of the current UI performance metrics, including FPS, Frame Time (ms), CPU usage (%), and Input Lag (ms). Use this to diagnose UI slowness or verify that your changes haven't degraded the user experience.",
         "parameters": {
             "type": "object",
-            "properties": {
+            "properties": {}
-                "url": {
-                    "type": "string",
-                    "description": "The URL to fetch."
-                }
-            },
-            "required": ["url"]
         }
-    },
+    }
 ]

performance_monitor.py

@@ -0,0 +1,124 @@
+import time
+import psutil
+import threading
+
+class PerformanceMonitor:
+    def __init__(self):
+        self._start_time = None
+        self._last_frame_time = 0.0
+        self._fps = 0.0
+        self._frame_count = 0
+        self._fps_last_time = time.time()
+        self._process = psutil.Process()
+        self._cpu_usage = 0.0
+        self._cpu_lock = threading.Lock()
+        
+        # Input lag tracking
+        self._last_input_time = None
+        self._input_lag_ms = 0.0
+        
+        # Alerts
+        self.alert_callback = None
+        self.thresholds = {
+            'frame_time_ms': 33.3,  # < 30 FPS
+            'cpu_percent': 80.0,
+            'input_lag_ms': 100.0
+        }
+        self._last_alert_time = 0
+        self._alert_cooldown = 30  # seconds
+
+        # Detailed profiling
+        self._component_timings = {}
+        self._comp_start = {}
+        
+        # Start CPU usage monitoring thread
+        self._stop_event = threading.Event()
+        self._cpu_thread = threading.Thread(target=self._monitor_cpu, daemon=True)
+        self._cpu_thread.start()
+
+    def _monitor_cpu(self):
+        while not self._stop_event.is_set():
+            # psutil.cpu_percent is better than process.cpu_percent for real-time
+            usage = self._process.cpu_percent(interval=1.0)
+            with self._cpu_lock:
+                self._cpu_usage = usage
+            time.sleep(0.1)
+
+    def start_frame(self):
+        self._start_time = time.time()
+
+    def record_input_event(self):
+        self._last_input_time = time.time()
+
+    def start_component(self, name: str):
+        self._comp_start[name] = time.time()
+
+    def end_component(self, name: str):
+        if name in self._comp_start:
+            elapsed = (time.time() - self._comp_start[name]) * 1000.0
+            self._component_timings[name] = elapsed
+
+    def end_frame(self):
+        if self._start_time is None:
+            return
+        
+        end_time = time.time()
+        self._last_frame_time = (end_time - self._start_time) * 1000.0
+        self._frame_count += 1
+        
+        # Calculate input lag if an input occurred during this frame
+        if self._last_input_time is not None:
+            self._input_lag_ms = (end_time - self._last_input_time) * 1000.0
+            self._last_input_time = None
+
+        self._check_alerts()
+        
+        elapsed_since_fps = end_time - self._fps_last_time
+        if elapsed_since_fps >= 1.0:
+            self._fps = self._frame_count / elapsed_since_fps
+            self._frame_count = 0
+            self._fps_last_time = end_time
+
+    def _check_alerts(self):
+        if not self.alert_callback:
+            return
+        
+        now = time.time()
+        if now - self._last_alert_time < self._alert_cooldown:
+            return
+
+        metrics = self.get_metrics()
+        alerts = []
+        if metrics['last_frame_time_ms'] > self.thresholds['frame_time_ms']:
+            alerts.append(f"Frame time high: {metrics['last_frame_time_ms']:.1f}ms")
+        if metrics['cpu_percent'] > self.thresholds['cpu_percent']:
+            alerts.append(f"CPU usage high: {metrics['cpu_percent']:.1f}%")
+        if metrics['input_lag_ms'] > self.thresholds['input_lag_ms']:
+            alerts.append(f"Input lag high: {metrics['input_lag_ms']:.1f}ms")
+
+        if alerts:
+            self._last_alert_time = now
+            self.alert_callback("; ".join(alerts))
+
+    def get_metrics(self):
+        with self._cpu_lock:
+            cpu_usage = self._cpu_usage
+            
+        metrics = {
+            'last_frame_time_ms': self._last_frame_time,
+            'fps': self._fps,
+            'cpu_percent': cpu_usage,
+            'input_lag_ms': self._last_input_time if self._last_input_time else 0.0 # Wait, this should be the calculated lag
+        }
+        # Oops, fixed the input lag logic in previous turn, let's keep it consistent
+        metrics['input_lag_ms'] = self._input_lag_ms
+        
+        # Add detailed timings
+        for name, elapsed in self._component_timings.items():
+            metrics[f'time_{name}_ms'] = elapsed
+            
+        return metrics
+
+    def stop(self):
+        self._stop_event.set()
+        self._cpu_thread.join(timeout=2.0)

project.toml

@@ -0,0 +1,39 @@
+[project]
+name = "project"
+git_dir = ""
+system_prompt = ""
+main_context = ""
+
+[output]
+output_dir = "./md_gen"
+
+[files]
+base_dir = "."
+paths = []
+
+[screenshots]
+base_dir = "."
+paths = []
+
+[agent.tools]
+run_powershell = true
+read_file = true
+list_directory = true
+search_files = true
+get_file_summary = true
+web_search = true
+fetch_url = true
+
+[discussion]
+roles = [
+    "User",
+    "AI",
+    "Vendor API",
+    "System",
+]
+active = "main"
+
+[discussion.discussions.main]
+git_commit = ""
+last_updated = "2026-02-23T16:52:30"
+history = []

project_manager.py

@@ -100,6 +100,17 @@ def default_project(name: str = "unnamed") -> dict:
         "output":      {"output_dir": "./md_gen"},
         "files":       {"base_dir": ".", "paths": []},
         "screenshots": {"base_dir": ".", "paths": []},
+        "agent":       {
+            "tools": {
+                "run_powershell": True,
+                "read_file": True,
+                "list_directory": True,
+                "search_files": True,
+                "get_file_summary": True,
+                "web_search": True,
+                "fetch_url": True
+            }
+        },
         "discussion":  {
             "roles":       ["User", "AI", "Vendor API", "System"],
             "active":      "main",

pyproject.toml

@@ -8,5 +8,11 @@ dependencies = [
     "imgui-bundle",
     "google-genai",
     "anthropic",
-    "tomli-w"
+    "tomli-w",
+    "psutil>=7.2.2",
+]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.0.2",
 ]

reproduce_delay.py

@@ -0,0 +1,18 @@
+import time
+from ai_client import get_gemini_cache_stats
+
+def reproduce_delay():
+    print("Starting reproduction of Gemini cache list delay...")
+    
+    start_time = time.time()
+    try:
+        stats = get_gemini_cache_stats()
+        elapsed = (time.time() - start_time) * 1000.0
+        print(f"get_gemini_cache_stats() took {elapsed:.2f}ms")
+        print(f"Stats: {stats}")
+    except Exception as e:
+        print(f"Error calling get_gemini_cache_stats: {e}")
+        print("Note: This might fail if no valid credentials.toml exists or API key is invalid.")
+
+if __name__ == "__main__":
+    reproduce_delay()

run_tests.py

@@ -0,0 +1,5 @@
+import pytest
+import sys
+
+if __name__ == "__main__":
+    sys.exit(pytest.main(sys.argv[1:]))

session_logger.py

@@ -26,6 +26,7 @@ scripts/generated/
 Where <ts> = YYYYMMDD_HHMMSS of when this session was started.
 """
 
+import atexit
 import datetime
 import json
 import threading
@@ -40,6 +41,7 @@ _seq_lock = threading.Lock()
 
 _comms_fh = None         # file handle: logs/comms_<ts>.log
 _tool_fh  = None         # file handle: logs/toolcalls_<ts>.log
+_api_fh   = None         # file handle: logs/apihooks_<ts>.log - API hook calls
 
 
 def _now_ts() -> str:
@@ -52,7 +54,7 @@ def open_session():
     opens the two log files for this session.  Idempotent - a second call is
     ignored.
     """
-    global _ts, _comms_fh, _tool_fh, _seq
+    global _ts, _comms_fh, _tool_fh, _api_fh, _seq
 
     if _comms_fh is not None:
         return  # already open
@@ -65,20 +67,40 @@ def open_session():
 
     _comms_fh = open(_LOG_DIR / f"comms_{_ts}.log", "w", encoding="utf-8", buffering=1)
     _tool_fh  = open(_LOG_DIR / f"toolcalls_{_ts}.log", "w", encoding="utf-8", buffering=1)
+    _api_fh   = open(_LOG_DIR / f"apihooks_{_ts}.log", "w", encoding="utf-8", buffering=1)
 
     _tool_fh.write(f"# Tool-call log — session {_ts}\n\n")
     _tool_fh.flush()
 
+    atexit.register(close_session)
+
 
 def close_session():
     """Flush and close both log files.  Called on clean exit (optional)."""
-    global _comms_fh, _tool_fh
+    global _comms_fh, _tool_fh, _api_fh
     if _comms_fh:
         _comms_fh.close()
         _comms_fh = None
     if _tool_fh:
         _tool_fh.close()
         _tool_fh = None
+    if _api_fh:
+        _api_fh.close()
+        _api_fh = None
+
+
+def log_api_hook(method: str, path: str, payload: str):
+    """
+    Log an API hook invocation.
+    """
+    if _api_fh is None:
+        return
+    ts_entry = datetime.datetime.now().strftime("%H:%M:%S")
+    try:
+        _api_fh.write(f"[{ts_entry}] {method} {path} - Payload: {payload}\n")
+        _api_fh.flush()
+    except Exception:
+        pass
 
 
 def log_comms(entry: dict):

tests/conftest.py

@@ -0,0 +1,73 @@
+import pytest
+import subprocess
+import time
+import requests
+import os
+import signal
+
+def kill_process_tree(pid):
+    """Robustly kills a process and all its children."""
+    if pid is None:
+        return
+    try:
+        print(f"[Fixture] Attempting to kill process tree for PID {pid}...")
+        if os.name == 'nt':
+            # /F is force, /T is tree (includes children)
+            subprocess.run(["taskkill", "/F", "/T", "/PID", str(pid)], 
+                           stdout=subprocess.DEVNULL, 
+                           stderr=subprocess.DEVNULL, 
+                           check=False)
+        else:
+            # On Unix, kill the process group
+            os.killpg(os.getpgid(pid), signal.SIGKILL)
+        print(f"[Fixture] Process tree {pid} killed.")
+    except Exception as e:
+        print(f"[Fixture] Error killing process tree {pid}: {e}")
+
+@pytest.fixture(scope="session")
+def live_gui():
+    """
+    Session-scoped fixture that starts gui.py with --enable-test-hooks.
+    Ensures the GUI is running before tests start and shuts it down after.
+    """
+    print("\n[Fixture] Starting gui.py --enable-test-hooks...")
+    
+    # Start gui.py as a subprocess.
+    process = subprocess.Popen(
+        ["uv", "run", "python", "gui.py", "--enable-test-hooks"],
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+        text=True,
+        creationflags=subprocess.CREATE_NEW_PROCESS_GROUP if os.name == 'nt' else 0
+    )
+    
+    # Wait for the hook server to be ready (Port 8999 per api_hooks.py)
+    max_retries = 5
+    ready = False
+    print(f"[Fixture] Waiting up to {max_retries}s for Hook Server on port 8999...")
+    
+    start_time = time.time()
+    while time.time() - start_time < max_retries:
+        try:
+            # Using /status endpoint defined in HookHandler
+            response = requests.get("http://127.0.0.1:8999/status", timeout=0.5)
+            if response.status_code == 200:
+                ready = True
+                print(f"[Fixture] GUI Hook Server is ready after {round(time.time() - start_time, 2)}s.")
+                break
+        except (requests.exceptions.ConnectionError, requests.exceptions.Timeout):
+            if process.poll() is not None:
+                print("[Fixture] Process died unexpectedly during startup.")
+                break
+            time.sleep(0.5)
+            
+    if not ready:
+        print("[Fixture] TIMEOUT/FAILURE: Hook server failed to respond on port 8999 within 5s. Cleaning up...")
+        kill_process_tree(process.pid)
+        pytest.fail("Failed to start gui.py with test hooks within 5 seconds.")
+        
+    try:
+        yield process
+    finally:
+        print("\n[Fixture] Finally block triggered: Shutting down gui.py...")
+        kill_process_tree(process.pid)

tests/test_agent_capabilities.py

@@ -0,0 +1,12 @@
+import pytest
+import sys
+import os
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+import ai_client
+
+def test_agent_capabilities_listing():
+    # Verify that the agent exposes its available tools correctly
+    pass

tests/test_agent_tools_wiring.py

@@ -0,0 +1,22 @@
+import pytest
+import sys
+import os
+from unittest.mock import MagicMock, patch
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from ai_client import set_agent_tools, _build_anthropic_tools
+
+def test_set_agent_tools():
+    # Correct usage: pass a dict
+    agent_tools = {"read_file": True, "list_directory": False}
+    set_agent_tools(agent_tools)
+
+def test_build_anthropic_tools_conversion():
+    # _build_anthropic_tools takes no arguments and uses the global _agent_tools
+    # We set a tool to True and check if it appears in the output
+    set_agent_tools({"read_file": True})
+    anthropic_tools = _build_anthropic_tools()
+    tool_names = [t["name"] for t in anthropic_tools]
+    assert "read_file" in tool_names

tests/test_api_events.py

@@ -0,0 +1,114 @@
+
+import pytest
+from unittest.mock import MagicMock
+import ai_client
+
+def test_ai_client_event_emitter_exists():
+    # This should fail initially because 'events' won't exist on ai_client
+    assert hasattr(ai_client, 'events')
+    assert ai_client.events is not None
+
+def test_event_emission():
+    # We'll expect these event names based on the spec
+    mock_callback = MagicMock()
+    ai_client.events.on("request_start", mock_callback)
+    
+    # Trigger something that should emit the event (once implemented)
+    # For now, we just test the emitter itself if we were to call it manually
+    ai_client.events.emit("request_start", payload={"model": "test"})
+    
+    mock_callback.assert_called_once_with(payload={"model": "test"})
+
+def test_send_emits_events():
+    from unittest.mock import patch, MagicMock
+    
+    # We need to mock _ensure_gemini_client and the chat object it creates
+    with patch("ai_client._ensure_gemini_client"), \
+         patch("ai_client._gemini_client") as mock_client, \
+         patch("ai_client._gemini_chat") as mock_chat:
+        
+        # Setup mock response
+        mock_response = MagicMock()
+        mock_response.candidates = []
+        # Explicitly set usage_metadata as a mock with integer values
+        mock_usage = MagicMock()
+        mock_usage.prompt_token_count = 10
+        mock_usage.candidates_token_count = 5
+        mock_usage.cached_content_token_count = None
+        mock_response.usage_metadata = mock_usage
+        mock_chat.send_message.return_value = mock_response
+        mock_client.chats.create.return_value = mock_chat
+        
+        ai_client.set_provider("gemini", "gemini-flash")
+        
+        start_callback = MagicMock()
+        response_callback = MagicMock()
+        
+        ai_client.events.on("request_start", start_callback)
+        ai_client.events.on("response_received", response_callback)
+        
+        # We need to bypass the context changed check or set it up
+        ai_client.send("context", "message")
+        
+        assert start_callback.called
+        assert response_callback.called
+        
+        # Check payload
+        args, kwargs = start_callback.call_args
+        assert kwargs['payload']['provider'] == 'gemini'
+        
+def test_send_emits_tool_events():
+    from unittest.mock import patch, MagicMock
+    
+    with patch("ai_client._ensure_gemini_client"), \
+         patch("ai_client._gemini_client") as mock_client, \
+         patch("ai_client._gemini_chat") as mock_chat, \
+         patch("mcp_client.dispatch") as mock_dispatch:
+        
+        # 1. Setup mock response with a tool call
+        mock_fc = MagicMock()
+        mock_fc.name = "read_file"
+        mock_fc.args = {"path": "test.txt"}
+        
+        mock_response_with_tool = MagicMock()
+        mock_response_with_tool.candidates = [MagicMock()]
+        mock_part = MagicMock()
+        mock_part.text = "tool call text"
+        mock_part.function_call = mock_fc
+        mock_response_with_tool.candidates[0].content.parts = [mock_part]
+        mock_response_with_tool.candidates[0].finish_reason.name = "STOP"
+        
+        # Setup mock usage
+        mock_usage = MagicMock()
+        mock_usage.prompt_token_count = 10
+        mock_usage.candidates_token_count = 5
+        mock_usage.cached_content_token_count = None
+        mock_response_with_tool.usage_metadata = mock_usage
+        
+        # 2. Setup second mock response (final answer)
+        mock_response_final = MagicMock()
+        mock_response_final.candidates = []
+        mock_response_final.usage_metadata = mock_usage
+        
+        mock_chat.send_message.side_effect = [mock_response_with_tool, mock_response_final]
+        mock_dispatch.return_value = "file content"
+        
+        ai_client.set_provider("gemini", "gemini-flash")
+        
+        tool_callback = MagicMock()
+        ai_client.events.on("tool_execution", tool_callback)
+        
+        ai_client.send("context", "message")
+        
+        # Should be called twice: once for 'started', once for 'completed'
+        assert tool_callback.call_count == 2
+        
+        # Check 'started' call
+        args, kwargs = tool_callback.call_args_list[0]
+        assert kwargs['payload']['status'] == 'started'
+        assert kwargs['payload']['tool'] == 'read_file'
+        
+        # Check 'completed' call
+        args, kwargs = tool_callback.call_args_list[1]
+        assert kwargs['payload']['status'] == 'completed'
+        assert kwargs['payload']['result'] == 'file content'

tests/test_api_hook_client.py

@@ -0,0 +1,65 @@
+import pytest
+import requests
+from unittest.mock import MagicMock, patch
+import threading
+import time
+import json
+import sys
+import os
+
+# Ensure project root is in path for imports
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from api_hook_client import ApiHookClient
+
+def test_get_status_success(live_gui):
+    """
+    Test that get_status successfully retrieves the server status
+    when the live GUI is running.
+    """
+    client = ApiHookClient()
+    status = client.get_status()
+    assert status == {'status': 'ok'}
+
+def test_get_project_success(live_gui):
+    """
+    Test successful retrieval of project data from the live GUI.
+    """
+    client = ApiHookClient()
+    response = client.get_project()
+    assert 'project' in response
+    # We don't assert specific content as it depends on the environment's active project
+
+def test_get_session_success(live_gui):
+    """
+    Test successful retrieval of session data.
+    """
+    client = ApiHookClient()
+    response = client.get_session()
+    assert 'session' in response
+    assert 'entries' in response['session']
+
+def test_post_gui_success(live_gui):
+    """
+    Test successful posting of GUI data.
+    """
+    client = ApiHookClient()
+    gui_data = {'command': 'set_text', 'id': 'some_item', 'value': 'new_text'}
+    response = client.post_gui(gui_data)
+    assert response == {'status': 'queued'}
+
+def test_get_performance_success(live_gui):
+    """
+    Test successful retrieval of performance metrics.
+    """
+    client = ApiHookClient()
+    response = client.get_performance()
+    assert "performance" in response
+
+def test_unsupported_method_error():
+    """
+    Test that calling an unsupported HTTP method raises a ValueError.
+    """
+    client = ApiHookClient()
+    with pytest.raises(ValueError, match="Unsupported HTTP method"):
+        client._make_request('PUT', '/some_endpoint', data={'key': 'value'})

tests/test_conductor_api_hook_integration.py

@@ -0,0 +1,73 @@
+import pytest
+from unittest.mock import MagicMock, patch
+import os
+import threading
+import time
+import json
+import requests
+import sys
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from api_hook_client import ApiHookClient
+
+def simulate_conductor_phase_completion(client: ApiHookClient):
+    """
+    Simulates the Conductor agent's logic for phase completion using ApiHookClient.
+    """
+    results = {
+        "verification_successful": False,
+        "verification_message": ""
+    }
+    
+    try:
+        status = client.get_status()
+        if status.get('status') == 'ok':
+            results["verification_successful"] = True
+            results["verification_message"] = "Automated verification completed successfully."
+        else:
+            results["verification_successful"] = False
+            results["verification_message"] = f"Automated verification failed: {status}"
+    except Exception as e:
+        results["verification_successful"] = False
+        results["verification_message"] = f"Automated verification failed: {e}"
+
+    return results
+
+def test_conductor_integrates_api_hook_client_for_verification(live_gui):
+    """
+    Verify that Conductor's simulated phase completion logic properly integrates
+    and uses the ApiHookClient for verification against the live GUI.
+    """
+    client = ApiHookClient()
+    results = simulate_conductor_phase_completion(client)
+
+    assert results["verification_successful"] is True
+    assert "successfully" in results["verification_message"]
+
+def test_conductor_handles_api_hook_failure(live_gui):
+    """
+    Verify Conductor handles a simulated API hook verification failure.
+    We patch the client's get_status to simulate failure even with live GUI.
+    """
+    client = ApiHookClient()
+    
+    with patch.object(ApiHookClient, 'get_status') as mock_get_status:
+        mock_get_status.return_value = {'status': 'failed', 'error': 'Something went wrong'}
+        results = simulate_conductor_phase_completion(client)
+
+        assert results["verification_successful"] is False
+        assert "failed" in results["verification_message"]
+
+def test_conductor_handles_api_hook_connection_error():
+    """
+    Verify Conductor handles a simulated API hook connection error (server down).
+    """
+    client = ApiHookClient(base_url="http://127.0.0.1:9998", max_retries=0)
+    results = simulate_conductor_phase_completion(client)
+
+    assert results["verification_successful"] is False
+    # Check for expected error substrings from ApiHookClient
+    msg = results["verification_message"]
+    assert any(term in msg for term in ["Could not connect", "timed out", "Could not reach"])

tests/test_gemini_metrics.py

@@ -0,0 +1,50 @@
+import pytest
+import os
+import sys
+from unittest.mock import MagicMock, patch
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+# Import the necessary functions from ai_client, including the reset helper
+from ai_client import get_gemini_cache_stats, reset_session
+
+def test_get_gemini_cache_stats_with_mock_client():
+    """
+    Test that get_gemini_cache_stats correctly processes cache lists
+    from a mocked client instance.
+    """
+    # Ensure a clean state before the test by resetting the session
+    reset_session()
+
+    # 1. Create a mock for the cache object that the client will return
+    mock_cache = MagicMock()
+    mock_cache.name = "cachedContents/test-cache"
+    mock_cache.display_name = "Test Cache"
+    mock_cache.model = "models/gemini-1.5-pro-001"
+    mock_cache.size_bytes = 1024
+
+    # 2. Create a mock for the client instance
+    mock_client_instance = MagicMock()
+    # Configure its `caches.list` method to return our mock cache
+    mock_client_instance.caches.list.return_value = [mock_cache]
+
+    # 3. Patch the Client constructor to return our mock instance
+    #    This intercepts the `_ensure_gemini_client` call inside the function
+    with patch('google.genai.Client', return_value=mock_client_instance) as mock_client_constructor:
+        
+        # 4. Call the function under test
+        stats = get_gemini_cache_stats()
+
+        # 5. Assert that the function behaved as expected
+        
+        # It should have constructed the client
+        mock_client_constructor.assert_called_once()
+        # It should have called the `list` method on the `caches` attribute
+        mock_client_instance.caches.list.assert_called_once()
+
+        # The returned stats dictionary should be correct
+        assert "cache_count" in stats
+        assert "total_size_bytes" in stats
+        assert stats["cache_count"] == 1
+        assert stats["total_size_bytes"] == 1024

tests/test_gui_diagnostics.py

@@ -0,0 +1,65 @@
+import pytest
+from unittest.mock import patch, MagicMock
+import importlib.util
+import sys
+import dearpygui.dearpygui as dpg
+
+# Load gui.py as a module for testing
+spec = importlib.util.spec_from_file_location("gui", "gui.py")
+gui = importlib.util.module_from_spec(spec)
+sys.modules["gui"] = gui
+spec.loader.exec_module(gui)
+from gui import App
+
+@pytest.fixture
+def app_instance():
+    dpg.create_context()
+    with patch('dearpygui.dearpygui.create_viewport'), \
+         patch('dearpygui.dearpygui.setup_dearpygui'), \
+         patch('dearpygui.dearpygui.show_viewport'), \
+         patch('dearpygui.dearpygui.start_dearpygui'), \
+         patch('gui.load_config', return_value={}), \
+         patch.object(App, '_rebuild_files_list'), \
+         patch.object(App, '_rebuild_shots_list'), \
+         patch.object(App, '_rebuild_disc_list'), \
+         patch.object(App, '_rebuild_disc_roles_list'), \
+         patch.object(App, '_rebuild_discussion_selector'), \
+         patch.object(App, '_refresh_project_widgets'):
+        
+        app = App()
+        yield app
+    dpg.destroy_context()
+
+def test_diagnostics_panel_initialization(app_instance):
+    assert "Diagnostics" in app_instance.window_info
+    assert app_instance.window_info["Diagnostics"] == "win_diagnostics"
+    assert "frame_time" in app_instance.perf_history
+    assert len(app_instance.perf_history["frame_time"]) == 100
+
+def test_diagnostics_panel_updates(app_instance):
+    # Mock dependencies
+    mock_metrics = {
+        'last_frame_time_ms': 10.0,
+        'fps': 100.0,
+        'cpu_percent': 50.0,
+        'input_lag_ms': 5.0
+    }
+    app_instance.perf_monitor.get_metrics = MagicMock(return_value=mock_metrics)
+    
+    with patch('dearpygui.dearpygui.is_item_shown', return_value=True), \
+         patch('dearpygui.dearpygui.set_value') as mock_set_value, \
+         patch('dearpygui.dearpygui.configure_item') as mock_configure_item, \
+         patch('dearpygui.dearpygui.does_item_exist', return_value=True):
+        
+        # We also need to mock ai_client stats
+        with patch('ai_client.get_history_bleed_stats', return_value={}):
+            app_instance._update_performance_diagnostics()
+            
+            # Verify UI updates
+            mock_set_value.assert_any_call("perf_fps_text", "100.0")
+            mock_set_value.assert_any_call("perf_frame_text", "10.0ms")
+            mock_set_value.assert_any_call("perf_cpu_text", "50.0%")
+            mock_set_value.assert_any_call("perf_lag_text", "5.0ms")
+            
+            # Verify history update
+            assert app_instance.perf_history["frame_time"][-1] == 10.0

tests/test_gui_events.py

@@ -0,0 +1,62 @@
+
+import pytest
+from unittest.mock import MagicMock, patch
+import dearpygui.dearpygui as dpg
+import gui
+from gui import App
+import ai_client
+
+@pytest.fixture
+def app_instance():
+    """
+    Fixture to create an instance of the App class for testing.
+    It creates a real DPG context but mocks functions that would
+    render a window or block execution.
+    """
+    dpg.create_context()
+    
+    with patch('dearpygui.dearpygui.create_viewport'), \
+         patch('dearpygui.dearpygui.setup_dearpygui'), \
+         patch('dearpygui.dearpygui.show_viewport'), \
+         patch('dearpygui.dearpygui.start_dearpygui'), \
+         patch('gui.load_config', return_value={}), \
+         patch('gui.PerformanceMonitor'), \
+         patch('gui.shell_runner'), \
+         patch('gui.project_manager'), \
+         patch.object(App, '_load_active_project'), \
+         patch.object(App, '_rebuild_files_list'), \
+         patch.object(App, '_rebuild_shots_list'), \
+         patch.object(App, '_rebuild_disc_list'), \
+         patch.object(App, '_rebuild_disc_roles_list'), \
+         patch.object(App, '_rebuild_discussion_selector'), \
+         patch.object(App, '_refresh_project_widgets'):
+        
+        app = App()
+        yield app
+    
+    dpg.destroy_context()
+
+def test_gui_updates_on_event(app_instance):
+    # Patch dependencies for the test
+    with patch('dearpygui.dearpygui.set_value') as mock_set_value, \
+         patch('dearpygui.dearpygui.does_item_exist', return_value=True), \
+         patch('dearpygui.dearpygui.configure_item'), \
+         patch('ai_client.get_history_bleed_stats') as mock_stats:
+        
+        mock_stats.return_value = {"percentage": 50.0, "current": 500, "limit": 1000}
+        
+        # We'll use patch.object to see if _refresh_api_metrics is called
+        with patch.object(app_instance, '_refresh_api_metrics', wraps=app_instance._refresh_api_metrics) as mock_refresh:
+            # Simulate event
+            ai_client.events.emit("response_received", payload={})
+            
+            # Process tasks manually
+            app_instance._process_pending_gui_tasks()
+            
+            # Verify that _refresh_api_metrics was called
+            mock_refresh.assert_called_once()
+        
+        # Verify that dpg.set_value was called for the metrics widgets
+        calls = [call.args[0] for call in mock_set_value.call_args_list]
+        assert "token_budget_bar" in calls
+        assert "token_budget_label" in calls

tests/test_gui_performance_requirements.py

@@ -0,0 +1,40 @@
+import pytest
+import time
+import sys
+import os
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from api_hook_client import ApiHookClient
+
+def test_idle_performance_requirements(live_gui):
+    """
+    Requirement: GUI must maintain stable performance on idle.
+    """
+    client = ApiHookClient()
+    
+    # Wait for app to stabilize and render some frames
+    time.sleep(2.0)
+    
+    # Get multiple samples to be sure
+    samples = []
+    for _ in range(5):
+        perf_data = client.get_performance()
+        samples.append(perf_data)
+        time.sleep(0.5)
+    
+    # Check for valid metrics
+    valid_ft_count = 0
+    for sample in samples:
+        performance = sample.get('performance', {})
+        frame_time = performance.get('last_frame_time_ms', 0.0)
+        
+        # We expect a positive frame time if rendering is happening
+        if frame_time > 0:
+            valid_ft_count += 1
+            assert frame_time < 33.3, f"Frame time {frame_time}ms exceeds 30fps threshold"
+    
+    print(f"[Test] Valid frame time samples: {valid_ft_count}/5")
+    # In some CI environments without a real display, frame time might remain 0
+    # but we've verified the hook is returning the dictionary.

tests/test_gui_stress_performance.py

@@ -0,0 +1,53 @@
+import pytest
+import time
+import sys
+import os
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from api_hook_client import ApiHookClient
+
+def test_comms_volume_stress_performance(live_gui):
+    """
+    Stress test: Inject many session entries and verify performance doesn't degrade.
+    """
+    client = ApiHookClient()
+    
+    # 1. Capture baseline
+    time.sleep(2.0) # Wait for stability
+    baseline_resp = client.get_performance()
+    baseline = baseline_resp.get('performance', {})
+    baseline_ft = baseline.get('last_frame_time_ms', 0.0)
+    
+    # 2. Inject 50 "dummy" session entries
+    # Role must match DISC_ROLES in gui.py (User, AI, Vendor API, System)
+    large_session = []
+    for i in range(50):
+        large_session.append({
+            "role": "User", 
+            "content": f"Stress test entry {i} " * 5,
+            "ts": time.time(),
+            "collapsed": False
+        })
+    
+    client.post_session(large_session)
+    
+    # Give it a moment to process UI updates
+    time.sleep(1.0)
+    
+    # 3. Capture stress performance
+    stress_resp = client.get_performance()
+    stress = stress_resp.get('performance', {})
+    stress_ft = stress.get('last_frame_time_ms', 0.0)
+    
+    print(f"Baseline FT: {baseline_ft:.2f}ms, Stress FT: {stress_ft:.2f}ms")
+    
+    # If we got valid timing, assert it's within reason
+    if stress_ft > 0:
+        assert stress_ft < 33.3, f"Stress frame time {stress_ft:.2f}ms exceeds 30fps threshold"
+    
+    # Ensure the session actually updated
+    session_data = client.get_session()
+    entries = session_data.get('session', {}).get('entries', [])
+    assert len(entries) >= 50, f"Expected at least 50 entries, got {len(entries)}"

tests/test_gui_updates.py

@@ -0,0 +1,119 @@
+import pytest
+from unittest.mock import patch, MagicMock
+import importlib.util
+import sys
+import os
+import dearpygui.dearpygui as dpg
+
+# Ensure project root is in path for imports
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+# Load gui.py as a module for testing
+spec = importlib.util.spec_from_file_location("gui", "gui.py")
+gui = importlib.util.module_from_spec(spec)
+sys.modules["gui"] = gui
+spec.loader.exec_module(gui)
+from gui import App
+
+@pytest.fixture
+def app_instance():
+    """
+    Fixture to create an instance of the App class for testing.
+    It creates a real DPG context but mocks functions that would
+    render a window or block execution.
+    """
+    dpg.create_context()
+    
+    # Patch only the functions that would show a window or block,
+    # and the App methods that rebuild UI on init.
+    with patch('dearpygui.dearpygui.create_viewport'), \
+         patch('dearpygui.dearpygui.setup_dearpygui'), \
+         patch('dearpygui.dearpygui.show_viewport'), \
+         patch('dearpygui.dearpygui.start_dearpygui'), \
+         patch('gui.load_config', return_value={}), \
+         patch.object(App, '_rebuild_files_list'), \
+         patch.object(App, '_rebuild_shots_list'), \
+         patch.object(App, '_rebuild_disc_list'), \
+         patch.object(App, '_rebuild_disc_roles_list'), \
+         patch.object(App, '_rebuild_discussion_selector'), \
+         patch.object(App, '_refresh_project_widgets'):
+        
+        app = App()
+        yield app
+    
+    dpg.destroy_context()
+
+def test_telemetry_panel_updates_correctly(app_instance):
+    """
+    Tests that the _update_performance_diagnostics method correctly updates
+    DPG widgets based on the stats from ai_client.
+    """
+    # 1. Set the provider to anthropic
+    app_instance.current_provider = "anthropic"
+
+    # 2. Define the mock stats
+    mock_stats = {
+        "provider": "anthropic",
+        "limit": 180000,
+        "current": 135000,
+        "percentage": 75.0,
+    }
+
+    # 3. Patch the dependencies
+    app_instance._last_bleed_update_time = 0 # Force update
+    with patch('ai_client.get_history_bleed_stats', return_value=mock_stats) as mock_get_stats, \
+         patch('dearpygui.dearpygui.set_value') as mock_set_value, \
+         patch('dearpygui.dearpygui.configure_item') as mock_configure_item, \
+         patch('dearpygui.dearpygui.is_item_shown', return_value=False), \
+         patch('dearpygui.dearpygui.does_item_exist', return_value=True) as mock_does_item_exist:
+
+        # 4. Call the method under test
+        app_instance._refresh_api_metrics()
+
+        # 5. Assert the results
+        mock_get_stats.assert_called_once()
+        
+        # Assert history bleed widgets were updated
+        mock_set_value.assert_any_call("token_budget_bar", 0.75)
+        mock_set_value.assert_any_call("token_budget_label", "135,000 / 180,000")
+
+        # Assert Gemini-specific widget was hidden
+        mock_configure_item.assert_any_call("gemini_cache_label", show=False)
+
+def test_cache_data_display_updates_correctly(app_instance):
+    """
+    Tests that the _update_performance_diagnostics method correctly updates the
+    GUI with Gemini cache statistics when the provider is set to Gemini.
+    """
+    # 1. Set the provider to Gemini
+    app_instance.current_provider = "gemini"
+
+    # 2. Define mock cache stats
+    mock_cache_stats = {
+        'cache_count': 5,
+        'total_size_bytes': 12345
+    }
+    # Expected formatted string
+    expected_text = "Gemini Caches: 5 (12.1 KB)"
+
+    # 3. Patch dependencies
+    app_instance._last_bleed_update_time = 0 # Force update
+    with patch('ai_client.get_gemini_cache_stats', return_value=mock_cache_stats) as mock_get_cache_stats, \
+         patch('dearpygui.dearpygui.set_value') as mock_set_value, \
+         patch('dearpygui.dearpygui.configure_item') as mock_configure_item, \
+         patch('dearpygui.dearpygui.is_item_shown', return_value=False), \
+         patch('dearpygui.dearpygui.does_item_exist', return_value=True) as mock_does_item_exist:
+        
+        # We also need to mock get_history_bleed_stats as it's called in the same function
+        with patch('ai_client.get_history_bleed_stats', return_value={}):
+            
+            # 4. Call the method under test with payload
+            app_instance._refresh_api_metrics(payload={'cache_stats': mock_cache_stats})
+
+            # 5. Assert the results
+            # mock_get_cache_stats.assert_called_once()  # No longer called synchronously
+            
+            # Check that the UI item was shown and its value was set
+            mock_configure_item.assert_any_call("gemini_cache_label", show=True)
+            mock_set_value.assert_any_call("gemini_cache_label", expected_text)
+

tests/test_history_bleed.py

@@ -0,0 +1,26 @@
+import pytest
+import sys
+import os
+from unittest.mock import MagicMock
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+import ai_client
+
+def test_get_history_bleed_stats_basic():
+    # Reset state
+    ai_client.reset_session()
+    
+    # Mock some history
+    ai_client.history_trunc_limit = 1000
+    # Simulate 500 tokens used
+    with MagicMock() as mock_stats:
+        # This would usually involve patching the encoder or session logic
+        pass
+    
+    stats = ai_client.get_history_bleed_stats()
+    assert 'current' in stats
+    assert 'limit' in stats
+    # ai_client.py hardcodes Gemini limit to 900_000
+    assert stats['limit'] == 900000

tests/test_history_truncation.py

@@ -0,0 +1,14 @@
+import pytest
+import sys
+import os
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+import ai_client
+
+def test_history_truncation_logic():
+    ai_client.reset_session()
+    ai_client.history_trunc_limit = 50
+    # Add history and verify it gets truncated when it exceeds limit
+    pass

tests/test_hooks.py

@@ -0,0 +1,51 @@
+import os
+import sys
+import pytest
+import requests
+import json
+from unittest.mock import patch
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from api_hook_client import ApiHookClient
+import gui
+
+def test_hooks_enabled_via_cli():
+    with patch.object(sys, 'argv', ['gui.py', '--enable-test-hooks']):
+        app = gui.App()
+        assert app.test_hooks_enabled is True
+
+def test_hooks_disabled_by_default():
+    with patch.object(sys, 'argv', ['gui.py']):
+        if 'SLOP_TEST_HOOKS' in os.environ:
+            del os.environ['SLOP_TEST_HOOKS']
+        app = gui.App()
+        assert getattr(app, 'test_hooks_enabled', False) is False
+
+def test_live_hook_server_responses(live_gui):
+    """
+    Verifies the live hook server (started via fixture) responds correctly to all major endpoints.
+    """
+    client = ApiHookClient()
+    
+    # Test /status
+    status = client.get_status()
+    assert status == {'status': 'ok'}
+    
+    # Test /api/project
+    project = client.get_project()
+    assert 'project' in project
+    
+    # Test /api/session
+    session = client.get_session()
+    assert 'session' in session
+    
+    # Test /api/performance
+    perf = client.get_performance()
+    assert 'performance' in perf
+    
+    # Test POST /api/gui
+    gui_data = {"action": "test_action", "value": 42}
+    resp = client.post_gui(gui_data)
+    assert resp == {'status': 'queued'}

tests/test_layout_reorganization.py

@@ -0,0 +1,102 @@
+import pytest
+import sys
+import os
+import importlib.util
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+# Load gui.py
+spec = importlib.util.spec_from_file_location("gui", "gui.py")
+gui = importlib.util.module_from_spec(spec)
+sys.modules["gui"] = gui
+spec.loader.exec_module(gui)
+from gui import App
+
+def test_new_hubs_defined_in_window_info():
+    """
+    Verifies that the new consolidated Hub windows are defined in the App's window_info.
+    This ensures they will be available in the 'Windows' menu.
+    """
+    # We don't need a full App instance with DPG context for this, 
+    # as window_info is initialized in __init__ before DPG starts.
+    # But we mock load_config to avoid file access.
+    from unittest.mock import patch
+    with patch('gui.load_config', return_value={}):
+        app = App()
+        
+    expected_hubs = {
+        "Context Hub": "win_context_hub",
+        "AI Settings Hub": "win_ai_settings_hub",
+        "Discussion Hub": "win_discussion_hub",
+        "Operations Hub": "win_operations_hub",
+    }
+    
+    for label, tag in expected_hubs.items():
+        assert tag in app.window_info.values(), f"Expected window tag {tag} not found in window_info"
+        # Check if the label matches (or is present)
+        found = False
+        for l, t in app.window_info.items():
+            if t == tag:
+                found = True
+                assert l == label or label in l, f"Label mismatch for {tag}: expected {label}, found {l}"
+        assert found, f"Expected window label {label} not found in window_info"
+
+def test_old_windows_removed_from_window_info(app_instance_simple):
+    """
+    Verifies that the old fragmented windows are removed from window_info.
+    """
+    old_tags = [
+        "win_projects", "win_files", "win_screenshots",
+        "win_provider", "win_system_prompts",
+        "win_discussion", "win_message", "win_response",
+        "win_comms", "win_tool_log"
+    ]
+    
+    for tag in old_tags:
+        assert tag not in app_instance_simple.window_info.values(), f"Old window tag {tag} should have been removed from window_info"
+
+@pytest.fixture
+def app_instance_simple():
+    from unittest.mock import patch
+    from gui import App
+    with patch('gui.load_config', return_value={}):
+        app = App()
+    return app
+
+def test_hub_windows_have_correct_flags(app_instance_simple):
+    """
+    Verifies that the new Hub windows have appropriate flags for a professional workspace.
+    (e.g., no_collapse should be True for main hubs).
+    """
+    import dearpygui.dearpygui as dpg
+    dpg.create_context()
+    
+    # We need to actually call the build methods to check the configuration
+    app_instance_simple._build_context_hub()
+    app_instance_simple._build_ai_settings_hub()
+    app_instance_simple._build_discussion_hub()
+    app_instance_simple._build_operations_hub()
+    
+    hubs = ["win_context_hub", "win_ai_settings_hub", "win_discussion_hub", "win_operations_hub"]
+    for hub in hubs:
+        assert dpg.does_item_exist(hub)
+        # We can't easily check 'no_collapse' after creation without internal DPG calls 
+        # but we can check if it's been configured if we mock dpg.window or check it manually
+    
+    dpg.destroy_context()
+
+def test_indicators_exist(app_instance_simple):
+    """
+    Verifies that the new thinking and live indicators exist in the UI.
+    """
+    import dearpygui.dearpygui as dpg
+    dpg.create_context()
+    
+    app_instance_simple._build_discussion_hub()
+    app_instance_simple._build_operations_hub()
+    
+    assert dpg.does_item_exist("thinking_indicator")
+    assert dpg.does_item_exist("operations_live_indicator")
+    
+    dpg.destroy_context()

tests/test_mcp_perf_tool.py

@@ -0,0 +1,19 @@
+import pytest
+import sys
+import os
+from unittest.mock import MagicMock, patch
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+import mcp_client
+
+def test_mcp_perf_tool_retrieval():
+    # Test that the MCP tool can call performance_monitor metrics
+    mock_metrics = {"fps": 60, "last_frame_time_ms": 16.6}
+    
+    # Simulate tool call by patching the callback
+    with patch('mcp_client.perf_monitor_callback', return_value=mock_metrics):
+        result = mcp_client.get_ui_performance()
+        assert "60" in result
+        assert "16.6" in result

tests/test_performance_monitor.py

@@ -0,0 +1,29 @@
+import pytest
+import sys
+import os
+import time
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from performance_monitor import PerformanceMonitor
+
+def test_perf_monitor_basic_timing():
+    pm = PerformanceMonitor()
+    pm.start_frame()
+    time.sleep(0.02) # 20ms
+    pm.end_frame()
+    
+    metrics = pm.get_metrics()
+    assert metrics['last_frame_time_ms'] >= 20.0
+    pm.stop()
+
+def test_perf_monitor_component_timing():
+    pm = PerformanceMonitor()
+    pm.start_component("test_comp")
+    time.sleep(0.01)
+    pm.end_component("test_comp")
+    
+    metrics = pm.get_metrics()
+    assert metrics['time_test_comp_ms'] >= 10.0
+    pm.stop()

tests/test_token_usage.py

@@ -0,0 +1,15 @@
+import pytest
+import sys
+import os
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+import ai_client
+
+def test_token_usage_tracking():
+    ai_client.reset_session()
+    # Mock an API response with token usage
+    usage = {"prompt_tokens": 100, "candidates_tokens": 50, "total_tokens": 150}
+    # This would test the internal accumulator in ai_client
+    pass

theme_2.py

@@ -5,7 +5,7 @@ Theming support for manual_slop GUI — imgui-bundle port.
 Replaces theme.py (DearPyGui-specific) with imgui-bundle equivalents.
 Palettes are applied via imgui.get_style().set_color_() calls.
 Font loading uses hello_imgui.load_font().
-Scale uses imgui.get_io().font_global_scale.
+Scale uses imgui.get_style().font_scale_main.
 """
 
 from imgui_bundle import imgui, hello_imgui
@@ -238,11 +238,11 @@ def apply(palette_name: str):
 
 
 def set_scale(factor: float):
-    """Set the global font scale factor."""
+    """Set the global font/UI scale factor."""
     global _current_scale
     _current_scale = factor
-    io = imgui.get_io()
+    style = imgui.get_style()
-    io.font_global_scale = factor
+    style.font_scale_main = factor
 
 
 def save_to_config(config: dict):
@@ -263,6 +263,12 @@ def load_from_config(config: dict):
     _current_font_size = float(t.get("font_size", 16.0))
     _current_scale = float(t.get("scale", 1.0))
 
+    # Don't apply here — imgui context may not exist yet.
+    # Call apply_current() after imgui is initialised.
+
+
+def apply_current():
+    """Apply the loaded palette and scale. Call after imgui context exists."""
     apply(_current_palette)
     set_scale(_current_scale)