Use gpt-5 as default

README.md

@@ -19,16 +19,6 @@
 
 ---
 
-## 🚨 The AI Security Crisis
-
-Everyone's shipping code faster than ever. Cursor, Windsurf, and Claude made coding easy - but QA and security testing are now the real bottlenecks.
-
-> **Number of security vulnerabilities doubled post-AI.**
-
-Traditional security tools weren't designed for this. SAST was a temporary fix when manual pentesting cost $10k+ and took weeks. Now, Strix delivers real security testing rapidly.
-
-**The solution:** Enable developers to use AI coding at full speed, without compromising on security.
-
 ## 🦉 Strix Overview
 
 Strix are autonomous AI agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual exploitation. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.
@@ -40,7 +30,7 @@ Strix are autonomous AI agents that act just like real hackers - they run your c
 pipx install strix-agent
 
 # Configure AI provider
-export STRIX_LLM="anthropic/claude-sonnet-4-20250514"
+export STRIX_LLM="openai/gpt-5"
 export LLM_API_KEY="your-api-key"
 
 # Run security assessment
@@ -103,7 +93,7 @@ strix --target api.your-app.com --instruction "Prioritize authentication and aut
 
 ```bash
 # Required
-export STRIX_LLM="anthropic/claude-sonnet-4-20250514"
+export STRIX_LLM="openai/gpt-5"
 export LLM_API_KEY="your-api-key"
 
 # Recommended

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "strix-agent"
-version = "0.1.4"
+version = "0.1.6"
 description = "Open-source AI Hackers for your apps"
 authors = ["Strix <hi@usestrix.com>"]
 readme = "README.md"
@@ -45,7 +45,7 @@ strix = "strix.cli.main:main"
 python = "^3.12"
 fastapi = "*"
 uvicorn = "*"
-litellm = {extras = ["proxy"], version = "^1.72.1"}
+litellm = {extras = ["proxy"], version = "^1.75.5.post1"}
 tenacity = "^9.0.0"
 numpydoc = "^1.8.0"
 pydantic = {extras = ["email"], version = "^2.11.3"}

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

strix/llm/config.py

@@ -9,7 +9,7 @@ class LLMConfig:
         enable_prompt_caching: bool = True,
         prompt_modules: list[str] | None = None,
     ):
-        self.model_name = model_name or os.getenv("STRIX_LLM", "anthropic/claude-sonnet-4-20250514")
+        self.model_name = model_name or os.getenv("STRIX_LLM", "openai/gpt-5")
 
         if not self.model_name:
             raise ValueError("STRIX_LLM environment variable must be set and not empty")

strix/llm/llm.py

@@ -248,7 +248,6 @@ class LLM:
             "model": self.config.model_name,
             "messages": messages,
             "temperature": self.config.temperature,
-            "stop": ["</function>"],
         }
 
         queue = get_global_queue()

strix/llm/memory_compressor.py

@@ -145,7 +145,7 @@ class MemoryCompressor:
         model_name: str | None = None,
     ):
         self.max_images = max_images
-        self.model_name = model_name or os.getenv("STRIX_LLM", "anthropic/claude-sonnet-4-20250514")
+        self.model_name = model_name or os.getenv("STRIX_LLM", "openai/gpt-5")
 
         if not self.model_name:
             raise ValueError("STRIX_LLM environment variable must be set and not empty")