[DOCS][FIX] [interactive group chat]

docs/swarms/structs/interactive_groupchat.md

@@ -25,6 +25,7 @@ pip install swarms
 Initializes a new InteractiveGroupChat instance with the specified configuration.
 
 **Arguments:**
+
 | Parameter | Type | Description | Default |
 |-----------|------|-------------|---------|
 | `id` | str | Unique identifier for the chat | auto-generated key |
@@ -36,6 +37,7 @@ Initializes a new InteractiveGroupChat instance with the specified configuration
 | `interactive` | bool | Whether to enable interactive mode | False |
 
 **Example:**
+
 ```python
 from swarms import Agent, InteractiveGroupChat
 

swarms/structs/deep_research_swarm.py

@@ -5,13 +5,12 @@ import os
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List
 
 import aiohttp
 from dotenv import load_dotenv
 from rich.console import Console
 from rich.panel import Panel
-from rich.text import Text
 from rich.tree import Tree
 
 from swarms.agents.reasoning_duo import ReasoningDuo
@@ -135,7 +134,8 @@ async def _async_exa_search(
 
     # Filter out None keys AND None values from kwargs
     safe_kwargs = {
-        str(k): v for k, v in kwargs.items() 
+        str(k): v
+        for k, v in kwargs.items()
         if k is not None and v is not None and str(k) != "None"
     }
 
@@ -151,7 +151,12 @@ async def _async_exa_search(
 
     # Only add safe_kwargs if they don't conflict with existing keys
     for key, value in safe_kwargs.items():
-        if key not in payload and key not in ["query", "useAutoprompt", "numResults", "contents"]:
+        if key not in payload and key not in [
+            "query",
+            "useAutoprompt",
+            "numResults",
+            "contents",
+        ]:
             payload[key] = value
 
     try:
@@ -422,8 +427,12 @@ class DeepResearchSwarm:
             queries = self.get_queries(query)
 
             if not queries:
-                error_msg = "No queries generated. Please check your input."
+                error_msg = (
-                self.conversation.add(role="System", content=error_msg)
+                    "No queries generated. Please check your input."
+                )
+                self.conversation.add(
+                    role="System", content=error_msg
+                )
                 return history_output_formatter(
                     self.conversation, type=self.output_type
                 )
@@ -448,7 +457,9 @@ class DeepResearchSwarm:
 
                 except Exception as e:
                     # Handle any errors in the thread
-                    error_msg = f"Error processing query '{q}': {str(e)}"
+                    error_msg = (
+                        f"Error processing query '{q}': {str(e)}"
+                    )
                     console.print(f"[bold red]{error_msg}[/bold red]")
                     self.conversation.add(
                         role="System",
@@ -466,7 +477,9 @@ class DeepResearchSwarm:
                     content=final_summary,
                 )
             except Exception as e:
-                error_msg = f"Error generating final summary: {str(e)}"
+                error_msg = (
+                    f"Error generating final summary: {str(e)}"
+                )
                 console.print(f"[bold red]{error_msg}[/bold red]")
                 self.conversation.add(
                     role="System",
@@ -482,10 +495,13 @@ class DeepResearchSwarm:
             if self.output_type.lower() == "json":
                 try:
                     import json
+
                     if isinstance(result, str):
                         # Try to parse and reformat for pretty printing
                         parsed = json.loads(result)
-                        return json.dumps(parsed, indent=2, ensure_ascii=False)
+                        return json.dumps(
+                            parsed, indent=2, ensure_ascii=False
+                        )
                 except (json.JSONDecodeError, TypeError):
                     # If parsing fails, return as-is
                     pass
@@ -495,7 +511,11 @@ class DeepResearchSwarm:
         except Exception as e:
             error_msg = f"Critical error in step execution: {str(e)}"
             console.print(f"[bold red]{error_msg}[/bold red]")
-            return {"error": error_msg} if self.output_type.lower() == "json" else error_msg
+            return (
+                {"error": error_msg}
+                if self.output_type.lower() == "json"
+                else error_msg
+            )
 
     def run(self, task: str):
         return self.step(task)
@@ -515,7 +535,9 @@ class DeepResearchSwarm:
             future = self.executor.submit(self.step, task)
             futures.append((task, future))
 
-    def parse_and_display_results(self, json_result: str, export_markdown: bool = True):
+    def parse_and_display_results(
+        self, json_result: str, export_markdown: bool = True
+    ):
         """
         Parse JSON results and display in rich format with optional markdown export.
 
@@ -528,19 +550,26 @@ class DeepResearchSwarm:
             data = json.loads(json_result)
 
             # Create rich display
-            console.print("\n" + "="*100, style="cyan")
+            console.print("\n" + "=" * 100, style="cyan")
-            console.print("🔬 DEEP RESEARCH RESULTS", style="bold cyan", justify="center")
+            console.print(
-            console.print("="*100, style="cyan")
+                "🔬 DEEP RESEARCH RESULTS",
+                style="bold cyan",
+                justify="center",
+            )
+            console.print("=" * 100, style="cyan")
 
             # Create conversation tree
             tree = Tree("🗣️ Research Conversation", style="bold blue")
-            markdown_content = ["# Deep Research Results\n", f"**Generated:** {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n"]
+            markdown_content = [
+                "# Deep Research Results\n",
+                f"**Generated:** {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n",
+            ]
 
             for i, entry in enumerate(data, 1):
                 if isinstance(entry, dict):
-                    role = entry.get('role', 'Unknown')
+                    role = entry.get("role", "Unknown")
-                    content = entry.get('content', '')
+                    content = entry.get("content", "")
-                    timestamp = entry.get('timestamp', '')
+                    timestamp = entry.get("timestamp", "")
 
                     # Get role info for display
                     role_info = self._get_role_display_info(role)
@@ -548,26 +577,52 @@ class DeepResearchSwarm:
                     # Create tree branch
                     branch_text = f"{role_info['emoji']} {role}"
                     if timestamp:
-                        time_part = timestamp.split()[-1] if ' ' in timestamp else timestamp[-8:]
+                        time_part = (
+                            timestamp.split()[-1]
+                            if " " in timestamp
+                            else timestamp[-8:]
+                        )
                         branch_text += f" ({time_part})"
 
-                    branch = tree.add(branch_text, style=role_info['style'])
+                    branch = tree.add(
+                        branch_text, style=role_info["style"]
+                    )
 
                     # Add content preview to tree
-                    content_preview = content[:150] + "..." if len(content) > 150 else content
+                    content_preview = (
-                    content_preview = content_preview.replace('\n', ' ')
+                        content[:150] + "..."
+                        if len(content) > 150
+                        else content
+                    )
+                    content_preview = content_preview.replace(
+                        "\n", " "
+                    )
                     branch.add(content_preview, style="dim")
 
                     # Add to markdown
                     markdown_content.append(f"\n## {i}. {role}")
                     if timestamp:
-                        markdown_content.append(f"**Timestamp:** {timestamp}")
+                        markdown_content.append(
+                            f"**Timestamp:** {timestamp}"
+                        )
                     markdown_content.append(f"\n{content}\n")
 
                     # Display full content for important entries
-                    if role.lower() in ['reasoning-agent-01'] and len(content) > 300:
+                    if (
-                        console.print(f"\n📋 {role} Full Response:", style="bold green")
+                        role.lower() in ["reasoning-agent-01"]
-                        console.print(Panel(content, border_style="green", title=f"{role} Analysis"))
+                        and len(content) > 300
+                    ):
+                        console.print(
+                            f"\n📋 {role} Full Response:",
+                            style="bold green",
+                        )
+                        console.print(
+                            Panel(
+                                content,
+                                border_style="green",
+                                title=f"{role} Analysis",
+                            )
+                        )
 
             # Display the tree
             console.print(tree)
@@ -580,20 +635,29 @@ class DeepResearchSwarm:
 
                 # Generate filename with timestamp
                 timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-                filename = results_dir / f"research_results_{timestamp}.md"
+                filename = (
+                    results_dir / f"research_results_{timestamp}.md"
+                )
 
                 # Write markdown file
-                with open(filename, 'w', encoding='utf-8') as f:
+                with open(filename, "w", encoding="utf-8") as f:
-                    f.write('\n'.join(markdown_content))
+                    f.write("\n".join(markdown_content))
 
-                console.print(f"\n💾 Results exported to: {filename}", style="bold green")
+                console.print(
+                    f"\n💾 Results exported to: {filename}",
+                    style="bold green",
+                )
 
-            console.print("\n✅ Research analysis complete!", style="bold cyan")
+            console.print(
+                "\n✅ Research analysis complete!", style="bold cyan"
+            )
 
         except json.JSONDecodeError as e:
             console.print(f"❌ Error parsing JSON: {e}", style="red")
         except Exception as e:
-            console.print(f"❌ Error displaying results: {e}", style="red")
+            console.print(
+                f"❌ Error displaying results: {e}", style="red"
+            )
 
     def _get_role_display_info(self, role: str) -> Dict[str, str]:
         """Get display information for different conversation roles."""
@@ -605,7 +669,9 @@ class DeepResearchSwarm:
         }
 
         role_lower = role.lower()
-        return role_map.get(role_lower, {"emoji": "🤖", "style": "white"})
+        return role_map.get(
+            role_lower, {"emoji": "🤖", "style": "white"}
+        )
 
 
 # Example usage