Use gpt-5 as default

strix/cli/app.py

@@ -58,8 +58,8 @@ class SplashScreen(Static):  # type: ignore[misc]
 
     ███████╗████████╗██████╗ ██╗██╗  ██╗
     ██╔════╝╚══██╔══╝██╔══██╗██║╚██╗██╔╝
-    ███████╗   ██║   ██████╔╝██║ ╚███╔╝ 
-    ╚════██║   ██║   ██╔══██╗██║ ██╔██╗ 
+    ███████╗   ██║   ██████╔╝██║ ╚███╔╝
+    ╚════██║   ██║   ██╔══██╗██║ ██╔██╗
     ███████║   ██║   ██║  ██║██║██╔╝ ██╗
     ╚══════╝   ╚═╝   ╚═╝  ╚═╝╚═╝╚═╝  ╚═╝
 

strix/cli/main.py

@@ -12,6 +12,7 @@ import sys
 from pathlib import Path
 from typing import Any
 from urllib.parse import urlparse
+import shutil
 
 import docker
 import litellm
@@ -73,7 +74,7 @@ def validate_environment() -> None:
         error_text.append("• ", style="white")
         error_text.append("STRIX_LLM", style="bold cyan")
         error_text.append(
-            " - Model name to use with litellm (e.g., 'anthropic/claude-sonnet-4-20250514')\n",
+            " - Model name to use with litellm (e.g., 'openai/gpt-5')\n",
             style="white",
         )
         error_text.append("• ", style="white")
@@ -91,7 +92,7 @@ def validate_environment() -> None:
 
         error_text.append("\nExample setup:\n", style="white")
         error_text.append(
-            "export STRIX_LLM='anthropic/claude-sonnet-4-20250514'\n", style="dim white"
+                "export STRIX_LLM='openai/gpt-5'\n", style="dim white"
         )
         error_text.append("export LLM_API_KEY='your-api-key-here'\n", style="dim white")
         if missing_optional_vars:
@@ -118,11 +119,32 @@ def _validate_llm_response(response: Any) -> None:
         raise RuntimeError("Invalid response from LLM")
 
 
+def check_docker_installed() -> None:
+    if shutil.which("docker") is None:
+        console = Console()
+        error_text = Text()
+        error_text.append("❌ ", style="bold red")
+        error_text.append("DOCKER NOT INSTALLED", style="bold red")
+        error_text.append("\n\n", style="white")
+        error_text.append("The 'docker' CLI was not found in your PATH.\n", style="white")
+        error_text.append("Please install Docker and ensure the 'docker' command is available.\n\n", style="white")
+
+        panel = Panel(
+            error_text,
+            title="[bold red]🛡️  STRIX STARTUP ERROR",
+            title_align="center",
+            border_style="red",
+            padding=(1, 2),
+        )
+        console.print("\n", panel, "\n")
+        sys.exit(1)
+
+
 async def warm_up_llm() -> None:
     console = Console()
 
     try:
-        model_name = os.getenv("STRIX_LLM", "anthropic/claude-sonnet-4-20250514")
+        model_name = os.getenv("STRIX_LLM", "openai/gpt-5")
         api_key = os.getenv("LLM_API_KEY")
 
         if api_key:
@@ -136,7 +158,6 @@ async def warm_up_llm() -> None:
         response = litellm.completion(
             model=model_name,
             messages=test_messages,
-            max_tokens=10,
         )
 
         _validate_llm_response(response)
@@ -523,6 +544,7 @@ def main() -> None:
     if sys.platform == "win32":
         asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
 
+    check_docker_installed()
     pull_docker_image()
 
     validate_environment()

strix/cli/tool_components/agents_graph_renderer.py

@@ -84,16 +84,10 @@ class AgentFinishRenderer(BaseToolRenderer):
         )
 
         if result_summary:
-            summary_display = (
-                result_summary[:400] + "..." if len(result_summary) > 400 else result_summary
-            )
-            content_parts = [f"{header}\n  [bold]{cls.escape_markup(summary_display)}[/]"]
+            content_parts = [f"{header}\n  [bold]{cls.escape_markup(result_summary)}[/]"]
 
             if findings and isinstance(findings, list):
-                finding_lines = [f"• {finding}" for finding in findings[:3]]
-                if len(findings) > 3:
-                    finding_lines.append(f"• ... +{len(findings) - 3} more findings")
-
+                finding_lines = [f"• {finding}" for finding in findings]
                 content_parts.append(
                     f"  [dim]{chr(10).join([cls.escape_markup(line) for line in finding_lines])}[/]"
                 )

strix/cli/tool_components/finish_renderer.py

@@ -23,8 +23,7 @@ class FinishScanRenderer(BaseToolRenderer):
         )
 
         if content:
-            content_display = content[:600] + "..." if len(content) > 600 else content
-            content_text = f"{header}\n  [bold]{cls.escape_markup(content_display)}[/]"
+            content_text = f"{header}\n  [bold]{cls.escape_markup(content)}[/]"
         else:
             content_text = f"{header}\n  [dim]Generating final report...[/]"
 

strix/cli/tool_components/reporting_renderer.py

@@ -31,8 +31,7 @@ class CreateVulnerabilityReportRenderer(BaseToolRenderer):
                 )
 
             if content:
-                content_preview = content[:100] + "..." if len(content) > 100 else content
-                content_parts.append(f"  [dim]{cls.escape_markup(content_preview)}[/]")
+                content_parts.append(f"  [dim]{cls.escape_markup(content)}[/]")
 
             content_text = "\n".join(content_parts)
         else:

strix/cli/tool_components/scan_info_renderer.py

@@ -51,8 +51,7 @@ class SubagentStartInfoRenderer(BaseToolRenderer):
 
         content = f"🤖 Spawned subagent [bold #22c55e]{name}[/bold #22c55e]"
         if task:
-            display_task = task[:80] + "..." if len(task) > 80 else task
-            content += f"\n    Task: [dim]{display_task}[/dim]"
+            content += f"\n    Task: [dim]{task}[/dim]"
 
         css_classes = cls.get_css_classes(status)
         return Static(content, classes=css_classes)

strix/cli/tracer.py

@@ -54,8 +54,7 @@ class Tracer:
 
     def get_run_dir(self) -> Path:
         if self._run_dir is None:
-            workspace_root = Path(__file__).parent.parent.parent
-            runs_dir = workspace_root / "agent_runs"
+            runs_dir = Path.cwd() / "agent_runs"
             runs_dir.mkdir(exist_ok=True)
 
             run_dir_name = self.run_name if self.run_name else self.run_id