Merge pull request 'Fix tool calling' (#2) from push-yxzkqpsvouls into main

Reviewed-on: #2

internal/api/types.go

@@ -94,9 +94,11 @@ type InputItem struct {
 
 // Message is the normalized internal message representation.
 type Message struct {
-	Role    string         `json:"role"`
-	Content []ContentBlock `json:"content"`
-	CallID  string         `json:"call_id,omitempty"` // for tool messages
+	Role      string         `json:"role"`
+	Content   []ContentBlock `json:"content"`
+	CallID    string         `json:"call_id,omitempty"`    // for tool messages
+	Name      string         `json:"name,omitempty"`       // for tool messages
+	ToolCalls []ToolCall     `json:"tool_calls,omitempty"` // for assistant messages
 }
 
 // ContentBlock is a typed content element.
@@ -129,9 +131,35 @@ func (r *ResponseRequest) NormalizeInput() []Message {
 					}
 					msg.Content = []ContentBlock{{Type: contentType, Text: s}}
 				} else {
-					var blocks []ContentBlock
-					_ = json.Unmarshal(item.Content, &blocks)
-					msg.Content = blocks
+					// Content is an array of blocks - parse them
+					var rawBlocks []map[string]interface{}
+					if err := json.Unmarshal(item.Content, &rawBlocks); err == nil {
+						// Extract content blocks and tool calls
+						for _, block := range rawBlocks {
+							blockType, _ := block["type"].(string)
+
+							if blockType == "tool_use" {
+								// Extract tool call information
+								toolCall := ToolCall{
+									ID:   getStringField(block, "id"),
+									Name: getStringField(block, "name"),
+								}
+								// input field contains the arguments as a map
+								if input, ok := block["input"].(map[string]interface{}); ok {
+									if inputJSON, err := json.Marshal(input); err == nil {
+										toolCall.Arguments = string(inputJSON)
+									}
+								}
+								msg.ToolCalls = append(msg.ToolCalls, toolCall)
+							} else if blockType == "output_text" || blockType == "input_text" {
+								// Regular text content block
+								msg.Content = append(msg.Content, ContentBlock{
+									Type: blockType,
+									Text: getStringField(block, "text"),
+								})
+							}
+						}
+					}
 				}
 			}
 			msgs = append(msgs, msg)
@@ -140,6 +168,7 @@ func (r *ResponseRequest) NormalizeInput() []Message {
 				Role:    "tool",
 				Content: []ContentBlock{{Type: "input_text", Text: item.Output}},
 				CallID:  item.CallID,
+				Name:    item.Name,
 			})
 		}
 	}
@@ -338,3 +367,11 @@ func (r *ResponseRequest) Validate() error {
 	}
 	return nil
 }
+
+// getStringField is a helper to safely extract string fields from a map
+func getStringField(m map[string]interface{}, key string) string {
+	if val, ok := m[key].(string); ok {
+		return val
+	}
+	return ""
+}

internal/providers/anthropic/anthropic.go

@@ -85,7 +85,23 @@ func (p *Provider) Generate(ctx context.Context, messages []api.Message, req *ap
 		case "user":
 			anthropicMsgs = append(anthropicMsgs, anthropic.NewUserMessage(anthropic.NewTextBlock(content)))
 		case "assistant":
-			anthropicMsgs = append(anthropicMsgs, anthropic.NewAssistantMessage(anthropic.NewTextBlock(content)))
+			// Build content blocks including text and tool calls
+			var contentBlocks []anthropic.ContentBlockParamUnion
+			if content != "" {
+				contentBlocks = append(contentBlocks, anthropic.NewTextBlock(content))
+			}
+			// Add tool use blocks
+			for _, tc := range msg.ToolCalls {
+				var input map[string]interface{}
+				if err := json.Unmarshal([]byte(tc.Arguments), &input); err != nil {
+					// If unmarshal fails, skip this tool call
+					continue
+				}
+				contentBlocks = append(contentBlocks, anthropic.NewToolUseBlock(tc.ID, input, tc.Name))
+			}
+			if len(contentBlocks) > 0 {
+				anthropicMsgs = append(anthropicMsgs, anthropic.NewAssistantMessage(contentBlocks...))
+			}
 		case "tool":
 			// Tool results must be in user message with tool_result blocks
 			anthropicMsgs = append(anthropicMsgs, anthropic.NewUserMessage(
@@ -213,7 +229,23 @@ func (p *Provider) GenerateStream(ctx context.Context, messages []api.Message, r
 			case "user":
 				anthropicMsgs = append(anthropicMsgs, anthropic.NewUserMessage(anthropic.NewTextBlock(content)))
 			case "assistant":
-				anthropicMsgs = append(anthropicMsgs, anthropic.NewAssistantMessage(anthropic.NewTextBlock(content)))
+				// Build content blocks including text and tool calls
+				var contentBlocks []anthropic.ContentBlockParamUnion
+				if content != "" {
+					contentBlocks = append(contentBlocks, anthropic.NewTextBlock(content))
+				}
+				// Add tool use blocks
+				for _, tc := range msg.ToolCalls {
+					var input map[string]interface{}
+					if err := json.Unmarshal([]byte(tc.Arguments), &input); err != nil {
+						// If unmarshal fails, skip this tool call
+						continue
+					}
+					contentBlocks = append(contentBlocks, anthropic.NewToolUseBlock(tc.ID, input, tc.Name))
+				}
+				if len(contentBlocks) > 0 {
+					anthropicMsgs = append(anthropicMsgs, anthropic.NewAssistantMessage(contentBlocks...))
+				}
 			case "tool":
 				// Tool results must be in user message with tool_result blocks
 				anthropicMsgs = append(anthropicMsgs, anthropic.NewUserMessage(

internal/providers/google/google.go

@@ -232,6 +232,19 @@ func convertMessages(messages []api.Message) ([]*genai.Content, string) {
 	var contents []*genai.Content
 	var systemText string
 
+	// Build a map of CallID -> Name from assistant tool calls
+	// This allows us to look up function names when processing tool results
+	callIDToName := make(map[string]string)
+	for _, msg := range messages {
+		if msg.Role == "assistant" || msg.Role == "model" {
+			for _, tc := range msg.ToolCalls {
+				if tc.ID != "" && tc.Name != "" {
+					callIDToName[tc.ID] = tc.Name
+				}
+			}
+		}
+	}
+
 	for _, msg := range messages {
 		if msg.Role == "system" || msg.Role == "developer" {
 			for _, block := range msg.Content {
@@ -258,11 +271,17 @@ func convertMessages(messages []api.Message) ([]*genai.Content, string) {
 				responseMap = map[string]any{"output": output}
 			}
 
-			// Create FunctionResponse part with CallID from message
+			// Get function name from message or look it up from CallID
+			name := msg.Name
+			if name == "" && msg.CallID != "" {
+				name = callIDToName[msg.CallID]
+			}
+
+			// Create FunctionResponse part with CallID and Name from message
 			part := &genai.Part{
 				FunctionResponse: &genai.FunctionResponse{
 					ID:       msg.CallID,
-					Name:     "", // Name is optional for responses
+					Name:     name, // Name is required by Google
 					Response: responseMap,
 				},
 			}
@@ -282,6 +301,27 @@ func convertMessages(messages []api.Message) ([]*genai.Content, string) {
 			}
 		}
 
+		// Add tool calls for assistant messages
+		if msg.Role == "assistant" || msg.Role == "model" {
+			for _, tc := range msg.ToolCalls {
+				// Parse arguments JSON into map
+				var args map[string]any
+				if err := json.Unmarshal([]byte(tc.Arguments), &args); err != nil {
+					// If unmarshal fails, skip this tool call
+					continue
+				}
+
+				// Create FunctionCall part
+				parts = append(parts, &genai.Part{
+					FunctionCall: &genai.FunctionCall{
+						ID:   tc.ID,
+						Name: tc.Name,
+						Args: args,
+					},
+				})
+			}
+		}
+
 		role := "user"
 		if msg.Role == "assistant" || msg.Role == "model" {
 			role = "model"

internal/providers/openai/openai.go

@@ -86,7 +86,32 @@ func (p *Provider) Generate(ctx context.Context, messages []api.Message, req *ap
 		case "user":
 			oaiMessages = append(oaiMessages, openai.UserMessage(content))
 		case "assistant":
-			oaiMessages = append(oaiMessages, openai.AssistantMessage(content))
+			// If assistant message has tool calls, include them
+			if len(msg.ToolCalls) > 0 {
+				toolCalls := make([]openai.ChatCompletionMessageToolCallUnionParam, len(msg.ToolCalls))
+				for i, tc := range msg.ToolCalls {
+					toolCalls[i] = openai.ChatCompletionMessageToolCallUnionParam{
+						OfFunction: &openai.ChatCompletionMessageFunctionToolCallParam{
+							ID: tc.ID,
+							Function: openai.ChatCompletionMessageFunctionToolCallFunctionParam{
+								Name:      tc.Name,
+								Arguments: tc.Arguments,
+							},
+						},
+					}
+				}
+				msgParam := openai.ChatCompletionAssistantMessageParam{
+					ToolCalls: toolCalls,
+				}
+				if content != "" {
+					msgParam.Content.OfString = openai.String(content)
+				}
+				oaiMessages = append(oaiMessages, openai.ChatCompletionMessageParamUnion{
+					OfAssistant: &msgParam,
+				})
+			} else {
+				oaiMessages = append(oaiMessages, openai.AssistantMessage(content))
+			}
 		case "system":
 			oaiMessages = append(oaiMessages, openai.SystemMessage(content))
 		case "developer":
@@ -194,7 +219,32 @@ func (p *Provider) GenerateStream(ctx context.Context, messages []api.Message, r
 			case "user":
 				oaiMessages = append(oaiMessages, openai.UserMessage(content))
 			case "assistant":
-				oaiMessages = append(oaiMessages, openai.AssistantMessage(content))
+				// If assistant message has tool calls, include them
+				if len(msg.ToolCalls) > 0 {
+					toolCalls := make([]openai.ChatCompletionMessageToolCallUnionParam, len(msg.ToolCalls))
+					for i, tc := range msg.ToolCalls {
+						toolCalls[i] = openai.ChatCompletionMessageToolCallUnionParam{
+							OfFunction: &openai.ChatCompletionMessageFunctionToolCallParam{
+								ID: tc.ID,
+								Function: openai.ChatCompletionMessageFunctionToolCallFunctionParam{
+									Name:      tc.Name,
+									Arguments: tc.Arguments,
+								},
+							},
+						}
+					}
+					msgParam := openai.ChatCompletionAssistantMessageParam{
+						ToolCalls: toolCalls,
+					}
+					if content != "" {
+						msgParam.Content.OfString = openai.String(content)
+					}
+					oaiMessages = append(oaiMessages, openai.ChatCompletionMessageParamUnion{
+						OfAssistant: &msgParam,
+					})
+				} else {
+					oaiMessages = append(oaiMessages, openai.AssistantMessage(content))
+				}
 			case "system":
 				oaiMessages = append(oaiMessages, openai.SystemMessage(content))
 			case "developer":

internal/server/server.go

@@ -141,8 +141,9 @@ func (s *GatewayServer) handleSyncResponse(w http.ResponseWriter, r *http.Reques
 
 	// Build assistant message for conversation store
 	assistantMsg := api.Message{
-		Role:    "assistant",
-		Content: []api.ContentBlock{{Type: "output_text", Text: result.Text}},
+		Role:      "assistant",
+		Content:   []api.ContentBlock{{Type: "output_text", Text: result.Text}},
+		ToolCalls: result.ToolCalls,
 	}
 	allMsgs := append(storeMsgs, assistantMsg)
 	if _, err := s.convs.Create(responseID, result.Model, allMsgs); err != nil {
@@ -460,10 +461,11 @@ loop:
 	})
 
 	// Store conversation
-	if fullText != "" {
+	if fullText != "" || len(toolCalls) > 0 {
 		assistantMsg := api.Message{
-			Role:    "assistant",
-			Content: []api.ContentBlock{{Type: "output_text", Text: fullText}},
+			Role:      "assistant",
+			Content:   []api.ContentBlock{{Type: "output_text", Text: fullText}},
+			ToolCalls: toolCalls,
 		}
 		allMsgs := append(storeMsgs, assistantMsg)
 		if _, err := s.convs.Create(responseID, model, allMsgs); err != nil {

scripts/chat.py

@@ -18,8 +18,10 @@ Usage:
 """
 
 import argparse
+import json
 import sys
-from typing import Optional
+from datetime import datetime
+from typing import Optional, Any
 
 from openai import OpenAI, APIStatusError
 from rich.console import Console
@@ -30,6 +32,85 @@ from rich.prompt import Prompt
 from rich.table import Table
 
 
+# Define available tools in OpenResponses format
+TOOLS = [
+    {
+        "type": "function",
+        "name": "calculator",
+        "description": "Perform basic arithmetic operations. Supports addition, subtraction, multiplication, and division.",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "operation": {
+                    "type": "string",
+                    "enum": ["add", "subtract", "multiply", "divide"],
+                    "description": "The arithmetic operation to perform"
+                },
+                "a": {
+                    "type": "number",
+                    "description": "The first number"
+                },
+                "b": {
+                    "type": "number",
+                    "description": "The second number"
+                }
+            },
+            "required": ["operation", "a", "b"]
+        }
+    },
+    {
+        "type": "function",
+        "name": "get_current_time",
+        "description": "Get the current time in a specified timezone or UTC",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "timezone": {
+                    "type": "string",
+                    "description": "Timezone name (e.g., 'UTC', 'America/New_York', 'Europe/London'). Defaults to UTC.",
+                }
+            }
+        }
+    }
+]
+
+
+def execute_tool(tool_name: str, arguments: dict[str, Any]) -> str:
+    """Execute a tool and return the result as a string."""
+    if tool_name == "calculator":
+        operation = arguments["operation"]
+        a = arguments["a"]
+        b = arguments["b"]
+
+        if operation == "add":
+            result = a + b
+        elif operation == "subtract":
+            result = a - b
+        elif operation == "multiply":
+            result = a * b
+        elif operation == "divide":
+            if b == 0:
+                return json.dumps({"error": "Division by zero"})
+            result = a / b
+        else:
+            return json.dumps({"error": f"Unknown operation: {operation}"})
+
+        return json.dumps({"result": result, "operation": operation, "a": a, "b": b})
+
+    elif tool_name == "get_current_time":
+        # Simple implementation without pytz
+        timezone = arguments.get("timezone", "UTC")
+        now = datetime.now()
+        return json.dumps({
+            "current_time": now.isoformat(),
+            "timezone": timezone,
+            "note": "Showing local system time (timezone parameter not fully implemented)"
+        })
+
+    else:
+        return json.dumps({"error": f"Unknown tool: {tool_name}"})
+
+
 class ChatClient:
     def __init__(self, base_url: str, token: Optional[str] = None):
         self.base_url = base_url.rstrip("/")
@@ -39,60 +120,199 @@ class ChatClient:
         )
         self.messages = []
         self.console = Console()
+        self.tools_enabled = True
     
     def chat(self, user_message: str, model: str, stream: bool = True):
         """Send a chat message and get response."""
-        # Add user message to history
+        # Add user message to history as a message-type input item
         self.messages.append({
+            "type": "message",
             "role": "user",
             "content": [{"type": "input_text", "text": user_message}]
         })
-        
+
         if stream:
             return self._stream_response(model)
         else:
             return self._sync_response(model)
     
     def _sync_response(self, model: str) -> str:
-        """Non-streaming response."""
-        with self.console.status(f"[bold blue]Thinking ({model})..."):
-            response = self.client.responses.create(
-                model=model,
-                input=self.messages,
-            )
-        
-        assistant_text = response.output_text
-        
-        # Add to history
-        self.messages.append({
-            "role": "assistant",
-            "content": [{"type": "output_text", "text": assistant_text}]
-        })
-        
-        return assistant_text
+        """Non-streaming response with tool support."""
+        max_iterations = 10  # Prevent infinite loops
+        iteration = 0
+
+        while iteration < max_iterations:
+            iteration += 1
+
+            with self.console.status(f"[bold blue]Thinking ({model})..."):
+                kwargs = {
+                    "model": model,
+                    "input": self.messages,
+                }
+                if self.tools_enabled:
+                    kwargs["tools"] = TOOLS
+
+                response = self.client.responses.create(**kwargs)
+
+            # Check if there are tool calls
+            tool_calls = []
+            assistant_content = []
+            text_parts = []
+
+            for item in response.output:
+                if item.type == "message":
+                    # Extract text from message content
+                    for content_block in item.content:
+                        if content_block.type == "output_text":
+                            text_parts.append(content_block.text)
+                            assistant_content.append({"type": "output_text", "text": content_block.text})
+                elif item.type == "function_call":
+                    # Parse arguments JSON string
+                    try:
+                        arguments = json.loads(item.arguments)
+                    except json.JSONDecodeError:
+                        arguments = {}
+
+                    tool_calls.append({
+                        "id": item.call_id,
+                        "name": item.name,
+                        "arguments": arguments
+                    })
+                    assistant_content.append({
+                        "type": "tool_use",
+                        "id": item.call_id,
+                        "name": item.name,
+                        "input": arguments
+                    })
+
+            # Add assistant message to history as a message-type input item
+            if assistant_content:
+                self.messages.append({
+                    "type": "message",
+                    "role": "assistant",
+                    "content": assistant_content
+                })
+
+            # If no tool calls, we're done
+            if not tool_calls:
+                return "\n".join(text_parts) if text_parts else ""
+
+            # Execute tools and add results
+            self.console.print(f"[dim]Executing {len(tool_calls)} tool(s)...[/dim]")
+            tool_results = []
+
+            for tool_call in tool_calls:
+                self.console.print(f"[dim]  → {tool_call['name']}({json.dumps(tool_call['arguments'])})[/dim]")
+                result = execute_tool(tool_call["name"], tool_call["arguments"])
+                tool_results.append({
+                    "type": "function_call_output",
+                    "call_id": tool_call["id"],
+                    "output": result
+                })
+
+            # Add tool results to input
+            self.messages.extend(tool_results)
+
+            # Continue the loop to get the next response
+
+        return "[Error: Max iterations reached in tool calling loop]"
     
     def _stream_response(self, model: str) -> str:
-        """Streaming response with live rendering."""
-        assistant_text = ""
-        
-        with Live(console=self.console, refresh_per_second=10) as live:
-            stream = self.client.responses.create(
-                model=model,
-                input=self.messages,
-                stream=True,
-            )
-            for event in stream:
-                if event.type == "response.output_text.delta":
-                    assistant_text += event.delta
-                    live.update(Markdown(assistant_text))
-        
-        # Add to history
-        self.messages.append({
-            "role": "assistant",
-            "content": [{"type": "output_text", "text": assistant_text}]
-        })
-        
-        return assistant_text
+        """Streaming response with live rendering and tool support."""
+        max_iterations = 10
+        iteration = 0
+
+        while iteration < max_iterations:
+            iteration += 1
+            assistant_text = ""
+            tool_calls = {}  # Dict to track tool calls by item_id
+            tool_calls_list = []  # Final list of completed tool calls
+            assistant_content = []
+
+            with Live(console=self.console, refresh_per_second=10) as live:
+                kwargs = {
+                    "model": model,
+                    "input": self.messages,
+                    "stream": True,
+                }
+                if self.tools_enabled:
+                    kwargs["tools"] = TOOLS
+
+                stream = self.client.responses.create(**kwargs)
+
+                for event in stream:
+                    if event.type == "response.output_text.delta":
+                        assistant_text += event.delta
+                        live.update(Markdown(assistant_text))
+                    elif event.type == "response.output_item.added":
+                        if hasattr(event, 'item') and event.item.type == "function_call":
+                            # Start tracking a new tool call
+                            tool_calls[event.item.id] = {
+                                "id": event.item.call_id,
+                                "name": event.item.name,
+                                "arguments": "",
+                                "item_id": event.item.id
+                            }
+                    elif event.type == "response.function_call_arguments.delta":
+                        # Accumulate arguments for the current function call
+                        # Find which tool call this belongs to by item_id
+                        if hasattr(event, 'item_id') and event.item_id in tool_calls:
+                            tool_calls[event.item_id]["arguments"] += event.delta
+                    elif event.type == "response.output_item.done":
+                        if hasattr(event, 'item') and event.item.type == "function_call":
+                            # Function call is complete
+                            if event.item.id in tool_calls:
+                                tool_call = tool_calls[event.item.id]
+                                try:
+                                    # Parse the complete arguments JSON
+                                    tool_call["arguments"] = json.loads(tool_call["arguments"])
+                                    tool_calls_list.append(tool_call)
+                                except json.JSONDecodeError:
+                                    self.console.print(f"[red]Error parsing tool arguments JSON[/red]")
+
+            # Build assistant content
+            if assistant_text:
+                assistant_content.append({"type": "output_text", "text": assistant_text})
+
+            for tool_call in tool_calls_list:
+                assistant_content.append({
+                    "type": "tool_use",
+                    "id": tool_call["id"],
+                    "name": tool_call["name"],
+                    "input": tool_call["arguments"]
+                })
+
+            # Add to history as a message-type input item
+            if assistant_content:
+                self.messages.append({
+                    "type": "message",
+                    "role": "assistant",
+                    "content": assistant_content
+                })
+
+            # If no tool calls, we're done
+            if not tool_calls_list:
+                return assistant_text
+
+            # Execute tools
+            self.console.print(f"\n[dim]Executing {len(tool_calls_list)} tool(s)...[/dim]")
+            tool_results = []
+
+            for tool_call in tool_calls_list:
+                self.console.print(f"[dim]  → {tool_call['name']}({json.dumps(tool_call['arguments'])})[/dim]")
+                result = execute_tool(tool_call["name"], tool_call["arguments"])
+                tool_results.append({
+                    "type": "function_call_output",
+                    "call_id": tool_call["id"],
+                    "output": result
+                })
+
+            # Add tool results to input
+            self.messages.extend(tool_results)
+
+            # Continue loop for next response
+
+        return "[Error: Max iterations reached in tool calling loop]"
     
     def clear_history(self):
         """Clear conversation history."""
@@ -118,6 +338,20 @@ def print_models_table(client: OpenAI):
     console.print(table)
 
 
+def print_tools_table():
+    """Print available tools."""
+    console = Console()
+    table = Table(title="Available Tools", show_header=True, header_style="bold magenta")
+    table.add_column("Tool Name", style="cyan")
+    table.add_column("Description", style="green")
+
+    for tool in TOOLS:
+        if tool.get("type") == "function":
+            table.add_row(tool["name"], tool["description"])
+
+    console.print(table)
+
+
 def main():
     parser = argparse.ArgumentParser(description="Chat with latticelm")
     parser.add_argument("--url", default="http://localhost:8080", help="Gateway URL")
@@ -151,11 +385,14 @@ def main():
         "[bold cyan]latticelm Chat Interface[/bold cyan]\n"
         f"Connected to: [green]{args.url}[/green]\n"
         f"Model: [yellow]{current_model}[/yellow]\n"
-        f"Streaming: [{'green' if stream_enabled else 'red'}]{stream_enabled}[/]\n\n"
+        f"Streaming: [{'green' if stream_enabled else 'red'}]{stream_enabled}[/]\n"
+        f"Tools: [{'green' if client.tools_enabled else 'red'}]{client.tools_enabled}[/]\n\n"
         "Commands:\n"
         "  [bold]/model <name>[/bold] - Switch model\n"
         "  [bold]/models[/bold] - List available models\n"
         "  [bold]/stream[/bold] - Toggle streaming\n"
+        "  [bold]/tools[/bold] - Toggle tool calling\n"
+        "  [bold]/listtools[/bold] - List available tools\n"
         "  [bold]/clear[/bold] - Clear conversation\n"
         "  [bold]/quit[/bold] or [bold]/exit[/bold] - Exit\n"
         "  [bold]/help[/bold] - Show this help",
@@ -196,6 +433,8 @@ def main():
                         "  /model <name> - Switch model\n"
                         "  /models - List available models\n"
                         "  /stream - Toggle streaming\n"
+                        "  /tools - Toggle tool calling\n"
+                        "  /listtools - List available tools\n"
                         "  /clear - Clear conversation\n"
                         "  /quit - Exit",
                         title="Help",
@@ -204,7 +443,10 @@ def main():
                 
                 elif cmd == "/models":
                     print_models_table(client.client)
-                
+
+                elif cmd == "/listtools":
+                    print_tools_table()
+
                 elif cmd == "/model":
                     if len(cmd_parts) < 2:
                         console.print("[red]Usage: /model <model-name>[/red]")
@@ -219,7 +461,11 @@ def main():
                 elif cmd == "/stream":
                     stream_enabled = not stream_enabled
                     console.print(f"[green]Streaming {'enabled' if stream_enabled else 'disabled'}[/green]")
-                
+
+                elif cmd == "/tools":
+                    client.tools_enabled = not client.tools_enabled
+                    console.print(f"[green]Tools {'enabled' if client.tools_enabled else 'disabled'}[/green]")
+
                 elif cmd == "/clear":
                     client.clear_history()
                     console.print("[green]Conversation history cleared[/green]")