improvments

frontend/app.py

@@ -39,7 +39,7 @@ def main():
         """
         <style>
         .block-container { padding-top: 1rem; }
-        [data-testid="stSidebarContent"] { padding-top: 0rem; margin-top: -2rem; }
+        [data-testid="stSidebarContent"] { padding-top: 1rem; }
         </style>
     """,
         unsafe_allow_html=True,

frontend/chat.py

@@ -1,18 +1,17 @@
 """Chat view — renders both the normal chat interface and the Coding Agent mode."""
 
 import asyncio
+import json
 from pathlib import Path
 
 import streamlit as st
 from backend.managers.chat_manager import ChatManager
 from backend.managers.system_prompter import SystemPrompter
+from backend.managers.search_manager import SearchManager
 from backend.agent.coding_agent import CodingAgent
-
 from backend.managers.debug_logger import get_logger
-logger = get_logger(__name__)
 
-import asyncio
+logger = get_logger(__name__)
-import json
 
 
 # ── Agent Mode helpers ────────────────────────────────────────────────────────
@@ -377,6 +376,32 @@ def render_normal_chat():
     user sends a message, they are prepended to that message as a context block.
     """
     logger.info("Chat mode")
+    chat_manager: ChatManager = st.session_state.chat_manager
+
+    # Apply model/token overrides from the Settings panel before any API call.
+    if st.session_state.get("selected_model"):
+        chat_manager.model = st.session_state.selected_model
+    if "chat_max_tokens" in st.session_state:
+        chat_manager.max_tokens = st.session_state.chat_max_tokens
+
+    # Consume a debug message forwarded from the editor's "Debug with AI" button.
+    pending_debug = st.session_state.pop("pending_debug_message", None)
+    if pending_debug:
+        if not chat_manager.get_history():
+            system_prompt = SystemPrompter.generate_prompt(_build_file_context())
+            chat_manager.add_message("system", system_prompt)
+        with st.spinner("Sending debug info to AI..."):
+            try:
+                ai_response = chat_manager.send_message(pending_debug)
+            except Exception as e:
+                ai_response = f"Error: {e}"
+        st.session_state.chat_history.append({"role": "user", "content": pending_debug})
+        st.session_state.chat_history.append(
+            {"role": "assistant", "content": ai_response}
+        )
+        st.rerun()
+        return
+
     # Replay the conversation history as chat bubbles (skip system messages).
     for message in st.session_state.chat_history:
         if message["role"] == "system":
@@ -430,7 +455,6 @@ def render_normal_chat():
             return
 
         # ── Normal chat message ───────────────────────────────────────────────
-        chat_manager = st.session_state.chat_manager
         search_results = st.session_state.get("search_results", [])
 
         # 5g — System-prompt logic: inject on first message, update on file change.
@@ -473,8 +497,8 @@ def render_normal_chat():
     if st.button("🗑️ Clear Chat"):
         _clear_chat_dialog()
 
-    # REVIEW: duplicate widget key — "agent_mode" toggle is already rendered inside render_agent_mode();
+    # Toggle to switch to Agent Mode (render_normal_chat and render_agent_mode are
-    # having two st.toggle calls with the same key on the same page will raise a DuplicateWidgetID error.
+    # mutually exclusive, so the same key here causes no DuplicateWidgetID conflict).
     st.toggle("Agent Mode", key="agent_mode")
 
     # 5h — Settings expander: file context toggle, model, token limit, custom prompt.

frontend/editor.py

@@ -126,7 +126,7 @@ def run_active_file():
         except SyntaxError as e:
             result = {"stdout": "", "stderr": str(e), "return_code": -1, "ast_error": True}
             st.session_state.exec_results[active_file] = result
-            debug_logger.log_error(f"Syntax error: {e}")
+            logger.error("Syntax error: %s", e)
             return result
 
     with st.spinner(f"Running {Path(active_file).name}..."):

frontend/sidebar.py

@@ -253,14 +253,29 @@ def build_arborist_tree(tree, parent_path=Path()):
 
 
 def render_filetree_arborist(tree):
-    """Render the interactive file tree and return the currently selected node dict."""
+    """Render the interactive file tree and return the currently selected node dict.
+
+    Passes the active file's relative path as ``selection`` so the tree always
+    highlights whichever file is currently open in the editor, even when the
+    user switches tabs instead of clicking the tree.
+    """
     data = build_arborist_tree(tree)
 
+    # Compute the node-ID of the currently active file (posix relative path)
+    # so the tree highlights it regardless of how the tab was opened.
+    active_selection = None
+    active_file = st.session_state.get("active_file")
+    if active_file:
+        try:
+            active_selection = str(Path(active_file).relative_to(fm.base_path).as_posix())
+        except ValueError:
+            pass
+
     selected = tree_view(
         data=data,
         icons={"open": "📂", "closed": "📁"},
         height=400,
-        selection=None,
+        selection=active_selection,
         select_internal_nodes=True,  # allow clicking folder names, not just files
         open_by_default=True
     )

frontend/state.py

@@ -78,6 +78,10 @@ def init_state():
     if "code_execution_output" not in st.session_state:
         st.session_state.code_execution_output = ""
 
+    # Per-file execution results: {file_path: {stdout, stderr, return_code, ast_error}}
+    if "exec_results" not in st.session_state:
+        st.session_state.exec_results = {}
+
     # ── Chat state ────────────────────────────────────────────────────────────
 
     # Flat list of {"role": ..., "content": ...} dicts rendered as chat bubbles.