Update README.md

.gitignore

@@ -24,3 +24,12 @@ Pipfile.lock # Consider if you want to include or exclude
 *~.xib
 README.md.old
 oai.zip
+.note
+diagnose.py
+*.log
+*.xml
+build*
+*.spec
+compiled/
+images/oai-iOS-Default-1024x1024@1x.png
+images/oai.icon/

README.md

@@ -77,6 +77,10 @@ alias oai='python3 <path to your file>'
 
 On first run, you will be prompted to enter your OpenRouter API key.
 
+### 6. Use Binaries
+
+You can also just download the supplied binary for either Mac wit Mx (M1, M2 etc) `oai_mac_arm64.zip` and follow [#3](https://gitlab.pm/rune/oai#3-copy-to-path). Or download for Linux (64bit) `oai_linux_x86_64.zip` and also follow [#3](https://gitlab.pm/rune/oai#3-copy-to-path).
+
 ## Usage
 
 ### Starting the Application

oai.py

@@ -35,16 +35,25 @@ APP_URL = "https://iurl.no/oai"
 # Paths
 home = Path.home()
 config_dir = home / '.config' / 'oai'
+cache_dir = home / '.cache' / 'oai'
 history_file = config_dir / 'history.txt'  # Persistent input history file
 database = config_dir / 'oai_config.db'
 log_file = config_dir / 'oai.log'
 
 # Create dirs if needed
 config_dir.mkdir(parents=True, exist_ok=True)
+cache_dir.mkdir(parents=True, exist_ok=True)
 
 # Rich console for chat UI (separate from logging)
 console = Console()
 
+# Valid commands list for validation
+VALID_COMMANDS = {
+    '/retry', '/online', '/memory', '/paste', '/export', '/save', '/load', 
+    '/delete', '/list', '/prev', '/next', '/stats', '/middleout', '/reset',
+    '/info', '/model', '/maxtoken', '/system', '/config', '/credits', '/clear', '/cl', '/help'
+}
+
 # Supported code file extensions
 SUPPORTED_CODE_EXTENSIONS = {
     '.py', '.js', '.ts', '.cs', '.java', '.c', '.cpp', '.h', '.hpp',
@@ -82,7 +91,7 @@ app_logger.setLevel(logging.INFO)
 # DB configuration
 database = config_dir / 'oai_config.db'
 DB_FILE = str(database)
-version = '1.7'
+version = '1.9'
 
 def create_table_if_not_exists():
     """Ensure the config and conversation_sessions tables exist."""
@@ -161,6 +170,29 @@ def estimate_cost(input_tokens: int, output_tokens: int) -> float:
     """Estimate cost in USD based on token counts."""
     return (input_tokens * MODEL_PRICING['input'] / 1_000_000) + (output_tokens * MODEL_PRICING['output'] / 1_000_000)
 
+def has_web_search_capability(model: Dict[str, Any]) -> bool:
+    """Check if model supports web search based on supported_parameters."""
+    supported_params = model.get("supported_parameters", [])
+    # Web search is typically indicated by 'tools' parameter support
+    return "tools" in supported_params
+
+def has_image_capability(model: Dict[str, Any]) -> bool:
+    """Check if model supports image input based on input modalities."""
+    architecture = model.get("architecture", {})
+    input_modalities = architecture.get("input_modalities", [])
+    return "image" in input_modalities
+
+def supports_online_mode(model: Dict[str, Any]) -> bool:
+    """Check if model supports :online suffix for web search."""
+    # Models that support tools parameter can use :online
+    return has_web_search_capability(model)
+
+def get_effective_model_id(base_model_id: str, online_enabled: bool) -> str:
+    """Get the effective model ID with :online suffix if enabled."""
+    if online_enabled and not base_model_id.endswith(':online'):
+        return f"{base_model_id}:online"
+    return base_model_id
+
 def export_as_markdown(session_history: List[Dict[str, str]], session_system_prompt: str = "") -> str:
     """Export conversation history as Markdown."""
     lines = ["# Conversation Export", ""]
@@ -347,6 +379,143 @@ def clear_screen():
     except:
         print("\n" * 100)
 
+def display_paginated_table(table: Table, title: str):
+    """Display a table with pagination support using Rich console for colored output, repeating header on each page."""
+    # Get terminal height (subtract some lines for prompt and margins)
+    try:
+        terminal_height = os.get_terminal_size().lines - 8
+    except:
+        terminal_height = 20  # Fallback if terminal size can't be determined
+    
+    # Create a segment-based approach to capture Rich-rendered output
+    from rich.segment import Segment
+    
+    # Render the table to segments
+    segments = list(console.render(table))
+    
+    # Convert segments to lines while preserving style
+    current_line_segments = []
+    all_lines = []
+    
+    for segment in segments:
+        if segment.text == '\n':
+            all_lines.append(current_line_segments)
+            current_line_segments = []
+        else:
+            current_line_segments.append(segment)
+    
+    # Add last line if not empty
+    if current_line_segments:
+        all_lines.append(current_line_segments)
+    
+    total_lines = len(all_lines)
+    
+    # If fits on one screen after segment analysis
+    if total_lines <= terminal_height:
+        console.print(Panel(table, title=title, title_align="left"))
+        return
+    
+    # Separate header from data rows
+    # Typically the first 3 lines are: top border, header row, separator
+    header_lines = []
+    data_lines = []
+    
+    # Find where the header ends (usually after the first horizontal line after header text)
+    header_end_index = 0
+    found_header_text = False
+    
+    for i, line_segments in enumerate(all_lines):
+        # Check if this line contains header-style text (bold/magenta usually)
+        has_header_style = any(
+            seg.style and ('bold' in str(seg.style) or 'magenta' in str(seg.style))
+            for seg in line_segments
+        )
+        
+        if has_header_style:
+            found_header_text = True
+        
+        # After finding header text, the next line with box-drawing chars is the separator
+        if found_header_text and i > 0:
+            line_text = ''.join(seg.text for seg in line_segments)
+            # Check for horizontal line characters (─ ━ ╌ etc.)
+            if any(char in line_text for char in ['─', '━', '┼', '╪', '┤', '├']):
+                header_end_index = i
+                break
+    
+    # If we found a header separator, split there
+    if header_end_index > 0:
+        header_lines = all_lines[:header_end_index + 1]  # Include the separator
+        data_lines = all_lines[header_end_index + 1:]
+    else:
+        # Fallback: assume first 3 lines are header
+        header_lines = all_lines[:min(3, len(all_lines))]
+        data_lines = all_lines[min(3, len(all_lines)):]
+    
+    # Calculate how many data lines fit per page (accounting for header)
+    lines_per_page = terminal_height - len(header_lines)
+    
+    # Display with pagination
+    current_line = 0
+    page_number = 1
+    
+    while current_line < len(data_lines):
+        # Clear screen for each page
+        clear_screen()
+        
+        # Print title
+        console.print(f"[bold cyan]{title} (Page {page_number})[/]")
+        
+        # Print header on every page
+        for line_segments in header_lines:
+            for segment in line_segments:
+                console.print(segment.text, style=segment.style, end="")
+            console.print()  # New line after each row
+        
+        # Calculate how many data lines to show on this page
+        end_line = min(current_line + lines_per_page, len(data_lines))
+        
+        # Print data lines for this page
+        for line_segments in data_lines[current_line:end_line]:
+            for segment in line_segments:
+                console.print(segment.text, style=segment.style, end="")
+            console.print()  # New line after each row
+        
+        # Update position
+        current_line = end_line
+        page_number += 1
+        
+        # If there's more content, wait for user
+        if current_line < len(data_lines):
+            console.print(f"\n[dim yellow]--- Press SPACE for next page, or any other key to finish (Page {page_number - 1}, showing {end_line}/{len(data_lines)} data rows) ---[/dim yellow]")
+            try:
+                import sys
+                import tty
+                import termios
+                
+                # Save terminal settings
+                fd = sys.stdin.fileno()
+                old_settings = termios.tcgetattr(fd)
+                
+                try:
+                    # Set terminal to raw mode to read single character
+                    tty.setraw(fd)
+                    char = sys.stdin.read(1)
+                    
+                    # If not space, break pagination
+                    if char != ' ':
+                        break
+                finally:
+                    # Restore terminal settings
+                    termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
+            except:
+                # Fallback for Windows or if termios not available
+                input_char = input().strip()
+                if input_char != '':
+                    break
+        else:
+            # No more content
+            break
+
 @app.command()
 def chat():
     global API_KEY, OPENROUTER_BASE_URL, STREAM_ENABLED, MAX_TOKEN, COST_WARNING_THRESHOLD
@@ -362,6 +531,7 @@ def chat():
     conversation_memory_enabled = True  # Memory ON by default
     memory_start_index = 0  # Track when memory was last enabled
     saved_conversations_cache = []  # Cache for /list results to use with /load by number
+    online_mode_enabled = False  # Online mode (web search) disabled by default
 
     app_logger.info("Starting new chat session with memory enabled")  # Log session start
 
@@ -410,6 +580,24 @@ def chat():
     while True:
         try:
             user_input = session.prompt("You> ", auto_suggest=AutoSuggestFromHistory()).strip()
+            
+            # Handle // escape sequence - convert to single / and treat as regular text
+            if user_input.startswith("//"):
+                user_input = user_input[1:]  # Remove first slash, keep the rest
+                # Don't process as command, jump to message processing
+                
+            # Check for unknown commands (starts with / but not a valid command)
+            elif user_input.startswith("/") and user_input.lower() not in ["exit", "quit", "bye"]:
+                # Extract command (first word after /)
+                command_word = user_input.split()[0].lower() if user_input.split() else user_input.lower()
+                
+                # Check if it's a valid command or partial match
+                if not any(command_word.startswith(cmd) for cmd in VALID_COMMANDS):
+                    console.print(f"[bold red]Unknown command: {command_word}[/]")
+                    console.print("[bold yellow]Type /help to see all available commands.[/]")
+                    app_logger.warning(f"Unknown command attempted: {command_word}")
+                    continue
+            
             if user_input.lower() in ["exit", "quit", "bye"]:
                 total_tokens = total_input_tokens + total_output_tokens
                 app_logger.info(f"Session ended. Total messages: {message_count}, Total tokens: {total_tokens}, Total cost: ${total_cost:.4f}")  # Log session summary
@@ -426,6 +614,39 @@ def chat():
                 console.print("[bold green]Retrying last prompt...[/]")
                 app_logger.info(f"Retrying prompt: {last_prompt[:100]}...")
                 user_input = last_prompt
+            elif user_input.lower().startswith("/online"):
+                args = user_input[8:].strip()
+                if not args:
+                    status = "enabled" if online_mode_enabled else "disabled"
+                    console.print(f"[bold blue]Online mode (web search) {status}.[/]")
+                    if selected_model:
+                        if supports_online_mode(selected_model):
+                            console.print(f"[dim green]Current model '{selected_model['name']}' supports online mode.[/]")
+                        else:
+                            console.print(f"[dim yellow]Current model '{selected_model['name']}' does not support online mode.[/]")
+                    continue
+                if args.lower() == "on":
+                    if not selected_model:
+                        console.print("[bold red]No model selected. Select a model first with '/model'.[/]")
+                        continue
+                    if not supports_online_mode(selected_model):
+                        console.print(f"[bold red]Model '{selected_model['name']}' does not support online mode (web search).[/]")
+                        console.print("[dim yellow]Online mode requires models with 'tools' parameter support.[/]")
+                        app_logger.warning(f"Online mode activation failed - model {selected_model['id']} doesn't support it")
+                        continue
+                    online_mode_enabled = True
+                    console.print("[bold green]Online mode enabled. Model will use web search capabilities.[/]")
+                    console.print(f"[dim blue]Effective model ID: {get_effective_model_id(selected_model['id'], True)}[/]")
+                    app_logger.info(f"Online mode enabled for model {selected_model['id']}")
+                elif args.lower() == "off":
+                    online_mode_enabled = False
+                    console.print("[bold green]Online mode disabled. Model will not use web search.[/]")
+                    if selected_model:
+                        console.print(f"[dim blue]Effective model ID: {selected_model['id']}[/]")
+                    app_logger.info("Online mode disabled")
+                else:
+                    console.print("[bold yellow]Usage: /online on|off (or /online to view status)[/]")
+                continue
             elif user_input.lower().startswith("/memory"):
                 args = user_input[8:].strip()
                 if not args:
@@ -755,7 +976,7 @@ def chat():
                         console.print(f"[bold red]Model '{args}' not found.[/]")
                         continue
                 
-                # Display model info (unchanged)
+                # Display model info
                 pricing = model_to_show.get("pricing", {})
                 architecture = model_to_show.get("architecture", {})
                 supported_params = ", ".join(model_to_show.get("supported_parameters", [])) or "None"
@@ -766,6 +987,7 @@ def chat():
                 table.add_row("Name", model_to_show["name"])
                 table.add_row("Description", model_to_show.get("description", "N/A"))
                 table.add_row("Context Length", str(model_to_show.get("context_length", "N/A")))
+                table.add_row("Online Support", "Yes" if supports_online_mode(model_to_show) else "No")
                 table.add_row("Pricing - Prompt ($/M tokens)", pricing.get("prompt", "N/A"))
                 table.add_row("Pricing - Completion ($/M tokens)", pricing.get("completion", "N/A"))
                 table.add_row("Pricing - Request ($)", pricing.get("request", "N/A"))
@@ -780,7 +1002,7 @@ def chat():
                 console.print(Panel(table, title=f"[bold green]Model Info: {model_to_show['name']}[/]", title_align="left"))
                 continue
 
-            # Model selection (unchanged but with logging)
+            # Model selection with Image and Online columns
             elif user_input.startswith("/model"):
                 app_logger.info("User initiated model selection")
                 args = user_input[7:].strip()
@@ -791,10 +1013,18 @@ def chat():
                 if not filtered_models:
                     console.print(f"[bold red]No models match '{search_term}'. Try '/model'.[/]")
                     continue
-                table = Table("No.", "Name", "ID", show_header=True, header_style="bold magenta")
+                
+                # Create table with Image and Online columns
+                table = Table("No.", "Name", "ID", "Image", "Online", show_header=True, header_style="bold magenta")
                 for i, model in enumerate(filtered_models, 1):
-                    table.add_row(str(i), model["name"], model["id"])
+                    image_support = "[green]✓[/green]" if has_image_capability(model) else "[red]✗[/red]"
-                console.print(Panel(table, title=f"[bold green]Available Models ({'All' if not search_term else f'Search: {search_term}'})[/]", title_align="left"))
+                    online_support = "[green]✓[/green]" if supports_online_mode(model) else "[red]✗[/red]"
+                    table.add_row(str(i), model["name"], model["id"], image_support, online_support)
+                
+                # Use pagination for the table
+                title = f"[bold green]Available Models ({'All' if not search_term else f'Search: {search_term}'})[/]"
+                display_paginated_table(table, title)
+                
                 while True:
                     try:
                         choice = int(typer.prompt("Enter model number (or 0 to cancel)"))
@@ -802,7 +1032,13 @@ def chat():
                             break
                         if 1 <= choice <= len(filtered_models):
                             selected_model = filtered_models[choice - 1]
+                            # Disable online mode when switching models (user must re-enable)
+                            if online_mode_enabled:
+                                online_mode_enabled = False
+                                console.print("[dim yellow]Note: Online mode auto-disabled when changing models.[/]")
                             console.print(f"[bold cyan]Selected: {selected_model['name']} ({selected_model['id']})[/]")
+                            if supports_online_mode(selected_model):
+                                console.print("[dim green]✓ This model supports online mode. Use '/online on' to enable web search.[/]")
                             app_logger.info(f"Model selected: {selected_model['name']} ({selected_model['id']})")
                             break
                         console.print("[bold red]Invalid choice. Try again.[/]")
@@ -926,10 +1162,18 @@ def chat():
                     if not filtered_models:
                         console.print(f"[bold red]No models match '{search_term}'. Try without search.[/]")
                         continue
-                    table = Table("No.", "Name", "ID", show_header=True, header_style="bold magenta")
+                    
+                    # Create table with Image and Online columns
+                    table = Table("No.", "Name", "ID", "Image", "Online", show_header=True, header_style="bold magenta")
                     for i, model in enumerate(filtered_models, 1):
-                        table.add_row(str(i), model["name"], model["id"])
+                        image_support = "[green]✓[/green]" if has_image_capability(model) else "[red]✗[/red]"
-                    console.print(Panel(table, title=f"[bold green]Available Models for Default ({'All' if not search_term else f'Search: {search_term}'})[/]", title_align="left"))
+                        online_support = "[green]✓[/green]" if supports_online_mode(model) else "[red]✗[/red]"
+                        table.add_row(str(i), model["name"], model["id"], image_support, online_support)
+                    
+                    # Use pagination for the table
+                    title = f"[bold green]Available Models for Default ({'All' if not search_term else f'Search: {search_term}'})[/]"
+                    display_paginated_table(table, title)
+                    
                     while True:
                         try:
                             choice = int(typer.prompt("Enter model number (or 0 to cancel)"))
@@ -956,6 +1200,7 @@ def chat():
                     table.add_row("Streaming", "Enabled" if STREAM_ENABLED == "on" else "Disabled")
                     table.add_row("Default Model", DEFAULT_MODEL_ID or "[Not set]")
                     table.add_row("Current Model", "[Not set]" if selected_model is None else str(selected_model["name"]))
+                    table.add_row("Online Mode", "Enabled" if online_mode_enabled else "Disabled")
                     table.add_row("Max Token", str(MAX_TOKEN))
                     table.add_row("Session Token", "[Not set]" if session_max_token == 0 else str(session_max_token))
                     table.add_row("Session System Prompt", session_system_prompt or "[Not set]")
@@ -992,12 +1237,14 @@ def chat():
                     console.print("[bold red]Unable to fetch credits. Check your API key or network.[/]")
                 continue
 
-            if user_input.lower() == "/clear":
+            if user_input.lower() == "/clear" or user_input.lower() == "/cl":
                 clear_screen()
                 DEFAULT_MODEL_ID = get_config('default_model')
                 token_value = session_max_token if session_max_token != 0 else " Not set"
                 console.print(f"[bold cyan]Token limits: Max= {MAX_TOKEN}, Session={token_value}[/]")
                 console.print("[bold blue]Active model[/] [bold red]%s[/]" %(str(selected_model["name"]) if selected_model else "None"))
+                if online_mode_enabled:
+                    console.print("[bold cyan]Online mode: Enabled (web search active)[/]")
                 continue
 
             if user_input.lower() == "/help":
@@ -1010,9 +1257,9 @@ def chat():
                     ""
                 )
                 help_table.add_row(
-                    "/clear",
+                    "/clear or /cl",
                     "Clear the terminal screen for a clean interface. You can also use the keycombo [bold]ctrl+l[/]",
-                    "/clear"
+                    "/clear\n/cl"
                 )
                 help_table.add_row(
                     "/help",
@@ -1029,6 +1276,11 @@ def chat():
                     "View the next response in history.",
                     "/next"
                 )
+                help_table.add_row(
+                    "/online [on|off]",
+                    "Enable/disable online mode (web search) for current model. Only works with models that support tools.",
+                    "/online on\n/online off"
+                )
                 help_table.add_row(
                     "/paste [prompt]",
                     "Paste plain text/code from clipboard and send to AI. Optional prompt can be added.",
@@ -1058,12 +1310,12 @@ def chat():
                 )
                 help_table.add_row(
                     "/info [model_id]",
-                    "Display detailed info (pricing, modalities, context length, etc.) for current or specified model.",
+                    "Display detailed info (pricing, modalities, context length, online support, etc.) for current or specified model.",
                     "/info\n/info gpt-4o"
                 )
                 help_table.add_row(
                     "/model [search]",
-                    "Select or change the current model for the session. Supports searching by name or ID.",
+                    "Select or change the current model for the session. Shows image and online capabilities. Supports searching by name or ID.",
                     "/model\n/model gpt"
                 )
                 
@@ -1095,7 +1347,7 @@ def chat():
                 )
                 help_table.add_row(
                     "/config model [search]",
-                    "Set default model that loads on startup. Doesn't change current session model.",
+                    "Set default model that loads on startup. Shows image and online capabilities. Doesn't change current session model.",
                     "/config model gpt"
                 )
                 help_table.add_row(
@@ -1196,6 +1448,11 @@ def chat():
                     "Use /paste to send clipboard content (plain text/code) to AI.",
                     "/paste\n/paste Explain this"
                 )
+                help_table.add_row(
+                    "// escape",
+                    "Start message with // to send a literal / character (e.g., //command sends '/command' as text, not a command)",
+                    "//help sends '/help' as text"
+                )
                 
                 # ===== EXIT =====
                 help_table.add_row(
@@ -1213,7 +1470,7 @@ def chat():
                     help_table, 
                     title="[bold cyan]oAI Chat Help (Version %s)[/]" % version, 
                     title_align="center", 
-                    subtitle="💡 Tip: Commands are case-insensitive • Memory ON by default (toggle with /memory) • Visit: https://iurl.no/oai", 
+                    subtitle="💡 Tip: Commands are case-insensitive • Memory ON by default (toggle with /memory) • Use // to escape / at start of input • Visit: https://iurl.no/oai", 
                     subtitle_align="center",
                     border_style="cyan"
                 ))
@@ -1324,9 +1581,12 @@ def chat():
             # Add current user message
             api_messages.append({"role": "user", "content": message_content})
 
+            # Get effective model ID with :online suffix if enabled
+            effective_model_id = get_effective_model_id(selected_model["id"], online_mode_enabled)
+
             # Build API params with app identification headers (using http_headers)
             api_params = {
-                "model": selected_model["id"], 
+                "model": effective_model_id,
                 "messages": api_messages, 
                 "stream": STREAM_ENABLED == "on",
                 "http_headers": {
@@ -1343,12 +1603,15 @@ def chat():
             file_count = len(file_attachments)
             history_messages_count = len(session_history) - memory_start_index if conversation_memory_enabled else 0
             memory_status = "ON" if conversation_memory_enabled else "OFF"
-            app_logger.info(f"API Request: Model '{selected_model['id']}', Prompt length: {len(text_part)} chars, {file_count} file(s) attached, Memory: {memory_status}, History sent: {history_messages_count} messages, Transforms: middle-out {'enabled' if middle_out_enabled else 'disabled'}, App: {APP_NAME} ({APP_URL}).")
+            online_status = "ON" if online_mode_enabled else "OFF"
+            app_logger.info(f"API Request: Model '{effective_model_id}' (Online: {online_status}), Prompt length: {len(text_part)} chars, {file_count} file(s) attached, Memory: {memory_status}, History sent: {history_messages_count} messages, Transforms: middle-out {'enabled' if middle_out_enabled else 'disabled'}, App: {APP_NAME} ({APP_URL}).")
 
             # Send and handle response with metrics and timing
             is_streaming = STREAM_ENABLED == "on"
             if is_streaming:
                 console.print("[bold green]Streaming response...[/] [dim](Press Ctrl+C to cancel)[/]")
+                if online_mode_enabled:
+                    console.print("[dim cyan]🌐 Online mode active - model has web search access[/]")
                 console.print("")  # Add spacing before response
             else:
                 console.print("[bold green]Thinking...[/]", end="\r")
@@ -1356,7 +1619,7 @@ def chat():
             start_time = time.time()  # Start timing request
             try:
                 response = client.chat.send(**api_params)
-                app_logger.info(f"API call successful for model '{selected_model['id']}'")
+                app_logger.info(f"API call successful for model '{effective_model_id}'")
             except Exception as e:
                 console.print(f"[bold red]Error sending request: {e}[/]")
                 app_logger.error(f"API Error: {type(e).__name__}: {e}")
@@ -1413,7 +1676,7 @@ def chat():
                 message_count += 1
 
                 # Log response metrics
-                app_logger.info(f"Response: Tokens - I:{input_tokens} O:{output_tokens} T:{input_tokens + output_tokens}, Cost: ${msg_cost:.4f}, Time: {response_time:.2f}s")
+                app_logger.info(f"Response: Tokens - I:{input_tokens} O:{output_tokens} T:{input_tokens + output_tokens}, Cost: ${msg_cost:.4f}, Time: {response_time:.2f}s, Online: {online_mode_enabled}")
 
                 # Per-message metrics display with context info
                 if conversation_memory_enabled:
@@ -1421,7 +1684,9 @@ def chat():
                     context_info = f", Context: {context_count} msg(s)" if context_count > 1 else ""
                 else:
                     context_info = ", Memory: OFF"
-                console.print(f"\n[dim blue]📊 Metrics: {input_tokens + output_tokens} tokens | ${msg_cost:.4f} | {response_time:.2f}s{context_info} | Session: {total_input_tokens + total_output_tokens} tokens | ${total_cost:.4f}[/]")
+                
+                online_info = " 🌐" if online_mode_enabled else ""
+                console.print(f"\n[dim blue]📊 Metrics: {input_tokens + output_tokens} tokens | ${msg_cost:.4f} | {response_time:.2f}s{context_info}{online_info} | Session: {total_input_tokens + total_output_tokens} tokens | ${total_cost:.4f}[/]")
 
                 # Cost and credit alerts
                 warnings = []