feat(tui): add real-time streaming LLM output with full content display

- Convert LiteLLM requests to streaming mode with stream_request()
- Add streaming parser to handle live LLM output segments
- Update TUI for real-time streaming content rendering
- Add tracer methods for streaming content tracking
- Clean function tags from streamed content to prevent display
- Remove all truncation from tool renderers for full content visibility

strix/interface/tool_components/thinking_renderer.py

@@ -23,8 +23,7 @@ class ThinkRenderer(BaseToolRenderer):
         text.append("\n  ")
 
         if thought:
-            thought_display = cls.truncate(thought, 600)
-            text.append(thought_display, style="italic dim")
+            text.append(thought, style="italic dim")
         else:
             text.append("Thinking...", style="italic dim")