some implementetd stuff

backend/managers/chat_manager.py

@@ -21,6 +21,7 @@ class ChatManager:
         self.api_port = os.getenv("PORT")
         self.api_key = os.getenv("API_KEY")
         self.model = os.getenv("MODEL")
+        self.max_tokens = 2000
 
         # API endpoint URL (OpenAI-compatible format)
         self.api_url = f"http://{self.api_host}:{self.api_port}/v1/chat/completions"
@@ -64,7 +65,7 @@ class ChatManager:
                 "model": self.model,
                 "messages": self.chat_history,
                 "temperature": 0.7,
-                "max_tokens": 2000,
+                "max_tokens": self.max_tokens,
                 "stream": False,
             }
 

frontend/chat.py

@@ -1,11 +1,12 @@
 """Chat view — renders both the normal chat interface and the Coding Agent mode."""
 
+import asyncio
+from pathlib import Path
+
 import streamlit as st
 from backend.managers.chat_manager import ChatManager
 from backend.managers.system_prompter import SystemPrompter
 
-import asyncio
-
 
 # ── Agent Mode helpers ────────────────────────────────────────────────────────
 def _run_async(coro):
@@ -210,39 +211,119 @@ def render_agent_mode():
                 st.rerun()
 
 
+# ── Normal Chat helpers ───────────────────────────────────────────────────────
+
+def _build_file_context() -> dict | None:
+    """Return file context for the system prompt if a file is open and context is enabled.
+
+    Reads from files_content cache first; falls back to FileManager if the file
+    has not been loaded into the editor yet.
+    """
+    if not st.session_state.get("include_file_context", True):
+        return None
+    active_file = st.session_state.get("active_file")
+    if not active_file:
+        return None
+    content = st.session_state.get("files_content", {}).get(active_file, "")
+    if not content:
+        try:
+            from backend.managers.file_manager import FileManager
+            fm = FileManager()
+            content = fm.read_file(Path(active_file)) or ""
+        except Exception:
+            return None
+    return {"name": Path(active_file).name, "content": content}
+
+
+@st.dialog("Clear Chat")
+def _clear_chat_dialog():
+    """Confirmation dialog before wiping the full conversation history."""
+    st.warning("All messages will be deleted. This cannot be undone.")
+    col1, col2 = st.columns(2)
+    with col1:
+        if st.button("Clear", type="primary", use_container_width=True):
+            st.session_state.chat_manager.clear_history()
+            st.session_state.chat_history = []
+            st.rerun()
+    with col2:
+        if st.button("Cancel", use_container_width=True):
+            st.rerun()
+
+
 # ── Normal Chat ───────────────────────────────────────────────────────────────
 
 def render_normal_chat():
     """Render the standard multi-turn chat interface.
 
-    On the first message the system prompt is injected into the history.
-    Each subsequent message appends to the same conversation so the AI retains
-    full context throughout the session.
+    Execution order on every rerun:
+      1. Apply model/token settings from the Settings panel (5e)
+      2. Consume any pending debug message from the editor (5f)
+      3. Replay chat history
+      4. Handle chat input with updated system-prompt logic (5g)
+      5. Render Clear Chat button and Settings expander (5d, 5h)
     """
+    chat_manager: ChatManager = st.session_state.chat_manager
+
+    # 5e — 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
+
+    # 5f — 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():
+            custom_prompt = st.session_state.get("custom_system_prompt", "").strip()
+            if custom_prompt:
+                chat_manager.add_message("system", custom_prompt)
+            else:
+                file_ctx = _build_file_context()
+                system_prompt = SystemPrompter.generate_prompt(file_ctx)
+                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:
-        role = message["role"]
-        if role == "system":
+        if message["role"] == "system":
             continue
-        with st.chat_message(role):
+        with st.chat_message(message["role"]):
             st.markdown(message["content"])
 
-    # Chat input — Enter to send, no extra button needed
+    # Chat input — Enter to send, no extra button needed.
     user_input = st.chat_input("Type your message here...")
     if user_input:
-        chat_manager = st.session_state.chat_manager
 
-        # On the very first user message, prepend the system prompt so the AI
-        # knows it is a code assistant embedded in an editor.
+        # 5g — System-prompt logic: inject on first message, update on file change.
         if not chat_manager.get_history():
-            system_prompt = SystemPrompter.generate_prompt()
-            chat_manager.add_message("system", system_prompt)
+            custom_prompt = st.session_state.get("custom_system_prompt", "").strip()
+            if custom_prompt:
+                chat_manager.add_message("system", custom_prompt)
+            else:
+                file_ctx = _build_file_context()
+                system_prompt = SystemPrompter.generate_prompt(file_ctx)
+                chat_manager.add_message("system", system_prompt)
+        elif st.session_state.get("active_file") and st.session_state.get("include_file_context", True):
+            # Follow-up messages: refresh the system prompt when the active file changes.
+            history = chat_manager.get_history()
+            if history and history[0]["role"] == "system":
+                file_ctx = _build_file_context()
+                if file_ctx:
+                    history[0]["content"] = SystemPrompter.generate_prompt(file_ctx)
 
-        # Show user message immediately without waiting for response.
         with st.chat_message("user"):
             st.markdown(user_input)
 
-        # Call the AI and show its response with a spinner while waiting.
         with st.chat_message("assistant"):
             with st.spinner("Thinking..."):
                 try:
@@ -251,15 +332,44 @@ def render_normal_chat():
                     ai_response = f"Error: {e}"
             st.markdown(ai_response)
 
-        st.session_state.chat_history.append({"role": "user", "content": user_input})
+        st.session_state.chat_history.append({"role": "user",      "content": user_input})
         st.session_state.chat_history.append({"role": "assistant", "content": ai_response})
         st.rerun()
 
-    # Rendered in the normal flow; JS above clones them to fixed positions
-    # and hides these originals.
+    # 5d — Clear Chat opens a confirmation dialog instead of deleting immediately.
+    if st.button("🗑️ Clear Chat"):
+        _clear_chat_dialog()
+
     st.toggle("Agent Mode", key="agent_mode")
-    with st.expander("Settings", expanded=False):
-        st.toggle("Use debug system prompt", key="use_system_prompt", value=True)
+
+    # 5h — Settings expander: file context toggle, model, token limit, custom prompt.
+    with st.expander("⚙️ Settings", expanded=False):
+        st.toggle("Include current file as context", key="include_file_context", value=True)
+
+        st.divider()
+
+        default_model = chat_manager.model or ""
+        model_options = [default_model] if default_model else []
+        for m in ["claude-3-5-sonnet-20241022", "claude-3-haiku-20240307", "gpt-4o", "gpt-4o-mini"]:
+            if m not in model_options:
+                model_options.append(m)
+        st.selectbox("Model", model_options, key="selected_model")
+
+        st.slider(
+            "Max Response Tokens",
+            min_value=256, max_value=8000,
+            value=chat_manager.max_tokens,
+            step=256, key="chat_max_tokens",
+        )
+
+        st.divider()
+
+        st.text_area(
+            "Custom System Prompt (overrides default if set)",
+            key="custom_system_prompt",
+            height=120,
+            placeholder="Leave empty to use the default assistant prompt with optional file context.",
+        )
 
 
 # ── Entry point ───────────────────────────────────────────────────────────────

frontend/editor.py

@@ -1,5 +1,7 @@
 """Code Editor view — renders the Ace editor, file tabs, and execution output."""
 
+import ast
+
 import streamlit as st
 import streamlit_ace as st_ace
 from pathlib import Path
@@ -85,9 +87,13 @@ def _delete_dialog(abs_file_path: str):
 
 
 def run_active_file():
-    """Execute the currently active file and store the result in session_state.
-    Returns the execution result dict {stdout, stderr, return_code}, or None
-    if no active file is set.
+    """Execute the currently active file and store the result in exec_results[file_path].
+
+    Runs an ast.parse() check first — if the syntax is invalid the file is not
+    executed and ast_error=True is stored so the UI can show a targeted warning.
+
+    Returns:
+        The result dict, or None if no active file is set.
     """
     active_file = st.session_state.active_file
 
@@ -97,10 +103,20 @@ def run_active_file():
 
     execution_engine = ExecutionEngine()
     debug_logger = DebugLogger()
-
     debug_logger.clear()
     debug_logger.log(f"Executing code from {active_file}...")
 
+    # ast check — only for Python files
+    if Path(active_file).suffix == ".py":
+        source = st.session_state.get("files_content", {}).get(active_file, "")
+        try:
+            ast.parse(source)
+        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}")
+            return result
+
     with st.spinner(f"Running {Path(active_file).name}..."):
         output = execution_engine.run_code(Path(active_file))
 
@@ -109,12 +125,13 @@ def run_active_file():
     else:
         debug_logger.log_error(f"Execution failed with exit code {output['rc']}.")
 
-    st.session_state.code_execution_output = {
+    result = {
         "stdout": output["stdout"],
         "stderr": output["stderr"],
-        "return_code": output["rc"]
+        "return_code": output["rc"],
+        "ast_error": False,
     }
-    result = st.session_state.code_execution_output
+    st.session_state.exec_results[active_file] = result
     return result
 
 def render_editor():
@@ -132,6 +149,24 @@ def render_editor():
     tab_names = [Path(f).name for f in st.session_state.open_files]
     tabs = st.tabs(tab_names)
 
+    # Tab-Sprung via JavaScript — pop() verhindert Loop bei jedem Rerun.
+    # Wenn _jump_to_tab gesetzt ist, klickt das Script den richtigen Tab an.
+    jump_target = st.session_state.pop("_jump_to_tab", None)
+    if jump_target and jump_target in st.session_state.open_files:
+        idx = st.session_state.open_files.index(jump_target)
+        st.components.v1.html(
+            f"""<script>
+                (function() {{
+                    setTimeout(function() {{
+                        const tabs = window.parent.document
+                            .querySelectorAll('button[data-baseweb="tab"]');
+                        if (tabs[{idx}]) tabs[{idx}].click();
+                    }}, 100);
+                }})();
+            </script>""",
+            height=0,
+        )
+
     for idx, file_path in enumerate(st.session_state.open_files):
         with tabs[idx]:
             # Load file content from disk on first open; afterwards use the cached version.
@@ -179,36 +214,48 @@ def render_editor():
                 if st.button("Delete File", key=f"delete_{file_path}"):
                     _delete_dialog(file_path)
 
-    if st.button("▶ Run Code", key="run_code"):
-            result = run_active_file()
-            if not result:
-                st.stop()
+            # ── Run + Output ──────────────────────────────────────────────────
+            if st.button("▶ Run Code", key=f"run_code_{file_path}", type="primary"):
+                run_active_file()
+                st.rerun()
 
-            st.subheader("Execution Output")
+            result = st.session_state.get("exec_results", {}).get(file_path)
+            if result:
+                st.subheader("Execution Output")
 
-            # Green on exit code 0 (success), red on anything else (error/crash).
-            if result["return_code"] == 0:
-                st.success(f"Exit code: {result['return_code']}")
-            else:
-                st.error(f"Exit code: {result['return_code']}")
+                if result.get("ast_error"):
+                    st.warning("⚠️ Syntax Error detected before execution — code was not run.")
+                elif result["return_code"] == 0:
+                    st.success(f"✅ Exit code: 0")
+                else:
+                    st.error(f"❌ Exit code: {result['return_code']}")
 
-            if result["stdout"]:
-                st.text_area(
-                    "Standard Output",
-                    value=result["stdout"],
-                    height=200,
-                    disabled=True,
-                    key="run_stdout")
+                # Debug with AI — only shown when there is an error or stderr output.
+                if result["return_code"] != 0 or result.get("stderr"):
+                    if st.button("🐛 Debug with AI", key=f"debug_with_ai_{file_path}", type="primary"):
+                        file_name = Path(file_path).name
+                        error_text = result.get("stderr", "") or f"Exit code: {result['return_code']}"
+                        code_content = st.session_state.files_content.get(file_path, "")
+                        lang = LANG_MAP.get(Path(file_path).suffix, "python")
+                        debug_message = (
+                            f"I got an error while running **{file_name}**:\n\n"
+                            f"**Error:** {error_text.strip()}\n"
+                            f"**Exit Code:** {result['return_code']}\n\n"
+                            f"**Here is the code:**\n```{lang}\n{code_content}\n```\n\n"
+                            f"Can you help me fix this?"
+                        )
+                        st.session_state.pending_debug_message = debug_message
+                        st.session_state["_navigate_to_chat"] = True
+                        st.rerun()
 
-            if result["stderr"]:
-                st.text_area(
-                    "Standard Error",
-                    value=result["stderr"],
-                    height=200,
-                    disabled=True,
-                    key="run_stderr")
-            if not result["stdout"] and not result["stderr"]:
-                st.info("No output produced by the code execution.")
+                if result.get("stdout"):
+                    st.text_area("Standard Output", value=result["stdout"], height=200,
+                                 disabled=True, key=f"run_stdout_{file_path}")
+                if result.get("stderr"):
+                    st.text_area("Standard Error", value=result["stderr"], height=200,
+                                 disabled=True, key=f"run_stderr_{file_path}")
+                if not result.get("stdout") and not result.get("stderr"):
+                    st.info("No output produced by the code execution.")
 
 
 

frontend/sidebar.py

@@ -173,9 +173,6 @@ def _delete_file_dialog(relative_file_path: str, file_name: str):
         if st.button("Delete", type="primary", use_container_width=True):
             if fm.delete_file(relative_file_path):
                 abs_file_path = str(Path(fm.base_path) / relative_file_path)
-                print(f"Deleting file at absolute path: {abs_file_path}")  # Debugging info
-                print(f"Current open files before deletion: {st.session_state.open_files}")  # Debugging info
-
                 st.session_state.open_files.remove(abs_file_path)
                 st.session_state.files_content.pop(abs_file_path, None)
                 if st.session_state.active_file == abs_file_path:
@@ -257,7 +254,16 @@ def render_sidebar():
     Tree click handling:
     - Clicking a file   → appended to open_files, set as active_file
     - Clicking a folder → stored in selected_folder so the action bar appears
+
+    Navigation flags (_navigate_to_editor, _navigate_to_chat) are consumed here
+    at the very top — before any widget is rendered — to avoid StreamlitAPIException.
     """
+    # Consume navigation flags before any widget renders.
+    if st.session_state.pop("_navigate_to_editor", False):
+        st.session_state.radio_interface_options = "Code Editor"
+    if st.session_state.pop("_navigate_to_chat", False):
+        st.session_state.radio_interface_options = "Chat with AI Assistant"
+
     st.sidebar.title("Navigation")
 
     navigation_section = st.sidebar.container()
@@ -294,13 +300,16 @@ def render_sidebar():
                             abs_path = fm.base_path / selected_path
 
                             if abs_path.is_file():
-                                # Open the file in the editor.
+                                # Open the file in the editor, jump to its tab,
+                                # and switch the view to the Editor pane.
                                 st.session_state.selected_folder = None
                                 st.session_state.selected_folder_rel = None
                                 file_str = str(abs_path)
                                 if file_str not in st.session_state.open_files:
                                     st.session_state.open_files.append(file_str)
                                 st.session_state.active_file = file_str
+                                st.session_state._jump_to_tab = file_str
+                                st.session_state._navigate_to_editor = True
                                 st.rerun()
 
                             elif abs_path.is_dir():

frontend/state.py

@@ -88,6 +88,21 @@ def init_state():
     if "agent_pending_action" not in st.session_state:
         st.session_state.agent_pending_action = None
 
+    # Whether to inject the currently open file as context into the system prompt
+    if "include_file_context" not in st.session_state:
+        st.session_state.include_file_context = True
+
+    # Optional custom system prompt entered by the user in Settings (overrides default)
+    if "custom_system_prompt" not in st.session_state:
+        st.session_state.custom_system_prompt = ""
+
+    # Holds a pre-built debug message to be sent to the AI on the next chat render
+    if "pending_debug_message" not in st.session_state:
+        st.session_state.pending_debug_message = None
+
+    # 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 = {}
 
 
 if __name__ == "__main__":