feat: add multi-step loader with progress icons

- Show searching, fetching, thinking, tool usage stages
- Use emojis to indicate current step

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: codewizdave

websearch/__pycache__/__main__.cpython-314.pyc

@@ -55,6 +55,7 @@ async def ask_with_search(
     model: str = "MiniMax-M2.7",
     max_turns: int = 10,
     verbose: bool = False,
+    progress_callback=None,
 ) -> AskResult:
     """Ask a question using web search and Claude Agent synthesis.
 
@@ -77,6 +78,8 @@ async def ask_with_search(
 
     try:
         # Perform web search
+        if progress_callback:
+            progress_callback("searching", "Searching the web...")
         results, cache_hit = await search.search(query, count=count)
 
         if results.is_nothing():
@@ -85,6 +88,8 @@ async def ask_with_search(
         search_results = results.just_value()
 
         # Fetch content from top results
+        if progress_callback:
+            progress_callback("fetching", f"Reading {len(search_results)} sources...")
         sources = []
         for r in search_results:
             content = await search.fetch(r.url)
@@ -133,7 +138,15 @@ async def ask_with_search(
 Format your response in clear Markdown."""
 
         answer = ""
+        if progress_callback:
+            progress_callback("thinking", "Synthesizing answer...")
         async for message in sdk_query(prompt=prompt, options=options):
+            if isinstance(message, AssistantMessage):
+                for block in message.content:
+                    if isinstance(block, TextBlock):
+                        answer += block.text
+                    elif progress_callback and hasattr(block, 'name'):
+                        progress_callback("tool", f"Using tool: {block.name}")
             if isinstance(message, AssistantMessage):
                 for block in message.content:
                     if isinstance(block, TextBlock):

websearch/__pycache__/main.cpython-314.pyc

@@ -201,14 +201,26 @@ async def _ask():
                 console.print(f"[dim]Using model: {model} (max {max_turns} turns)[/dim]\n")
 
             with Progress(auto_refresh=True, console=console) as progress:
-                task = progress.add_task("[dim]Searching and processing...[/dim]", total=None)
+                task = progress.add_task("[dim]Starting...[/dim]", total=None)
+
+                def update_progress(step: str, message: str):
+                    step_icons = {
+                        "searching": "🔍",
+                        "fetching": "📖",
+                        "thinking": "🤔",
+                        "tool": "🔧",
+                    }
+                    icon = step_icons.get(step, "⏳")
+                    progress.update(task, description=f"[dim]{icon} {message}[/dim]")
+
                 result = await ask_with_search(
                     query=query,
                     count=count,
                     cache_enabled=not no_cache,
                     model=model,
                     max_turns=max_turns,
                     verbose=verbose,
+                    progress_callback=update_progress,
                 )
                 progress.remove_task(task)