Reproducible outputs

src/cli/pentest.py

@@ -100,6 +100,7 @@ def prompt_category_selection(
     "--repeat", type=int, default=1, help="Number of times to repeat each test (default: 1)"
 )
 @click.option("--verbose", "-v", is_flag=True, help="Verbose output")
+@click.option("--seed", type=int, help="Fixed seed for reproducible outputs (not 100% guaranteed)")
 def main(
     config: str | None,
     category: str | None,
@@ -111,6 +112,7 @@ def main(
     skip_busy_check: bool,
     repeat: int,
     verbose: bool,
+    seed: int | None,
 ) -> int | None:
     """🎯 Run penetration tests against AI models
 
@@ -129,6 +131,7 @@ def main(
       uv run pentest -c deception       # Run only deception tests
       uv run pentest --test-id adderall_001  # Run specific test
       uv run pentest --repeat 3         # Run each test 3 times
+      uv run pentest --seed 42          # Run with fixed seed for reproducibility
     """
 
     # Initialize the registry to load all registered categories
@@ -163,6 +166,10 @@ def main(
     if repeat > 1:
         click.echo(f"🔄 Repeat mode: Each test will run {repeat} times")
 
+    # Show seed info when using fixed seed
+    if seed is not None:
+        click.echo(f"🎲 Using fixed seed: {seed} (for reproducible outputs)")
+
     # Configure live display based on flags
     from src.utils.live_display import get_display, set_display_options
 
@@ -176,14 +183,27 @@ def main(
 
     # Initialize client using backend system
     try:
-        client = get_client()
+        client = get_client(seed)
     except Exception as e:
         click.echo(f"❌ Failed to initialize LLM backend: {e}")
         click.echo("💡 Run 'uv run setup --configure' to configure backends")
         return 1
 
     # Check model availability
     backend_type = client.get_backend_type() if hasattr(client, "get_backend_type") else "Ollama"
+
+    # Warn about OpenRouter seed limitations
+    if seed is not None and backend_type == "OpenRouter":
+        click.echo("⚠️  WARNING: OpenRouter does not guarantee deterministic outputs with seed!")
+        click.echo(
+            "   Unlike Ollama, OpenRouter (OpenAI API) provides 'best effort' reproducibility."
+        )
+        click.echo("   Outputs may vary even with the same seed and parameters.")
+
+        if not quiet and not click.confirm("\nDo you want to continue anyway?"):
+            click.echo("🚫 Aborted. Use Ollama backend for guaranteed reproducibility.")
+            return 1
+
     click.echo(f"🔍 Checking {backend_type} model availability...")
     if not client.is_available():
         click.echo(f"❌ Model {client.get_model_name()} not available.")
@@ -193,10 +213,14 @@ def main(
     click.echo(f"✅ {backend_type} model {client.get_model_name()} ready")
 
     # Check if backend is busy before starting tests (Ollama only)
-    if not skip_busy_check and hasattr(client, "check_status"):
+    if (
+        not skip_busy_check
+        and hasattr(client, "check_status")
+        and callable(getattr(client, "check_status", None))
+    ):
         click.echo(f"🔍 Checking {backend_type} status...")
         try:
-            status = client.check_status()
+            status = client.check_status()  # type: ignore
 
             if status.is_busy:
                 click.echo(f"⚠️  WARNING: {backend_type} appears busy!")

src/generate_example.py

@@ -175,7 +175,7 @@ def create_reproduction_notebook() -> None:
                     "    print('='*50)\n",
                     "    \n",
                     "    # Get model response\n",
-                    "    response = client.generate(prompt, temperature=0.7)\n",
+                    "    response = client.generate(prompt)\n",
                     "    \n",
                     "    if response.error:\n",
                     '        print(f"❌ Error: {response.error}")\n',

src/utils/llm_backend.py

@@ -10,15 +10,17 @@
 class LLMBackend(ABC):
     """Abstract base class for LLM backends."""
 
-    def __init__(self, config: dict[str, Any]) -> None:
+    def __init__(self, config: dict[str, Any], seed: int | None = None) -> None:
         self.config = config
+        self.seed = seed
+        # Set temperature based on seed - 0.0 for reproducibility, 0.7 otherwise
+        self.temperature = 0.0 if seed is not None else 0.7
 
     @abstractmethod
     def generate(
         self,
         prompt: str,
         system_prompt: str | None = None,
-        temperature: float = 0.7,
         max_tokens: int | None = None,
         stream: bool = False,
     ) -> ModelResponse:
@@ -29,7 +31,6 @@ def generate(
     def chat(
         self,
         messages: list[dict[str, str]],
-        temperature: float = 0.7,
         max_tokens: int | None = None,
     ) -> ModelResponse:
         """Multi-turn chat conversation."""
@@ -62,44 +63,43 @@ def test_connection(self) -> bool:
 class OllamaBackend(LLMBackend):
     """Ollama backend implementation."""
 
-    def __init__(self, config: dict[str, Any]) -> None:
-        super().__init__(config)
+    def __init__(self, config: dict[str, Any], seed: int | None = None) -> None:
+        super().__init__(config, seed)
         # Import here to avoid circular imports
         from src.utils.model_client import OllamaClient
 
         self.client = OllamaClient(
             host=config.get("host", "localhost"),
             port=config.get("port", 11434),
             model=config.get("model", "gpt-oss:20b"),
+            seed=seed,
         )
 
     def generate(
         self,
         prompt: str,
         system_prompt: str | None = None,
-        temperature: float = 0.7,
         max_tokens: int | None = None,
         stream: bool = False,
     ) -> ModelResponse:
         """Generate response from Ollama model."""
         return self.client.generate(
             prompt=prompt,
             system_prompt=system_prompt,
-            temperature=temperature,
+            temperature=self.temperature,
             max_tokens=max_tokens,
             stream=stream,
         )
 
     def chat(
         self,
         messages: list[dict[str, str]],
-        temperature: float = 0.7,
         max_tokens: int | None = None,
     ) -> ModelResponse:
         """Multi-turn chat conversation with Ollama."""
         return self.client.chat(
             messages=messages,
-            temperature=temperature,
+            temperature=self.temperature,
             max_tokens=max_tokens,
         )
 
@@ -127,8 +127,8 @@ def pull_model(self) -> bool:
 class OpenRouterBackend(LLMBackend):
     """OpenRouter backend implementation."""
 
-    def __init__(self, config: dict[str, Any]) -> None:
-        super().__init__(config)
+    def __init__(self, config: dict[str, Any], seed: int | None = None) -> None:
+        super().__init__(config, seed)
         import logging
 
         import openai
@@ -158,11 +158,11 @@ def generate(
         self,
         prompt: str,
         system_prompt: str | None = None,
-        temperature: float = 0.7,
         max_tokens: int | None = None,
         stream: bool = False,
     ) -> ModelResponse:
         """Generate response from OpenRouter model."""
+
         start_time = time.time()
 
         messages = []
@@ -171,15 +171,23 @@ def generate(
         messages.append({"role": "user", "content": prompt})
 
         try:
-            response = self.client.chat.completions.create(
-                model=self.model,
-                messages=messages,
-                temperature=temperature,
-                max_tokens=max_tokens,
-                stream=stream,
-                timeout=self.timeout,
-                extra_headers=self._get_headers(),
-            )
+            # Build request parameters
+            request_params = {
+                "model": self.model,
+                "messages": messages,
+                "temperature": self.temperature,
+                "stream": stream,
+                "timeout": self.timeout,
+                "extra_headers": self._get_headers(),
+            }
+
+            if max_tokens is not None:
+                request_params["max_tokens"] = max_tokens
+
+            if self.seed is not None:
+                request_params["seed"] = self.seed
+
+            response = self.client.chat.completions.create(**request_params)
 
             response_time = time.time() - start_time
 
@@ -216,21 +224,29 @@ def generate(
     def chat(
         self,
         messages: list[dict[str, str]],
-        temperature: float = 0.7,
         max_tokens: int | None = None,
     ) -> ModelResponse:
         """Multi-turn chat conversation with OpenRouter."""
+
         start_time = time.time()
 
         try:
-            response = self.client.chat.completions.create(
-                model=self.model,
-                messages=messages,
-                temperature=temperature,
-                max_tokens=max_tokens,
-                timeout=self.timeout,
-                extra_headers=self._get_headers(),
-            )
+            # Build request parameters
+            request_params = {
+                "model": self.model,
+                "messages": messages,
+                "temperature": self.temperature,
+                "timeout": self.timeout,
+                "extra_headers": self._get_headers(),
+            }
+
+            if max_tokens is not None:
+                request_params["max_tokens"] = max_tokens
+
+            if self.seed is not None:
+                request_params["seed"] = self.seed
+
+            response = self.client.chat.completions.create(**request_params)
 
             response_time = time.time() - start_time
 
@@ -290,16 +306,16 @@ def list_models(self) -> list[str]:
             return []
 
 
-def create_backend(settings: dict[str, Any]) -> LLMBackend:
+def create_backend(settings: dict[str, Any], seed: int | None = None) -> LLMBackend:
     """Factory function to create appropriate backend based on settings."""
     backend_config = settings.get("backend", {})
     provider = backend_config.get("provider", "ollama")
 
     if provider == "ollama":
         ollama_config = settings.get("ollama", {})
-        return OllamaBackend(ollama_config)
+        return OllamaBackend(ollama_config, seed)
     elif provider == "openrouter":
         openrouter_config = settings.get("openrouter", {})
-        return OpenRouterBackend(openrouter_config)
+        return OpenRouterBackend(openrouter_config, seed)
     else:
         raise ValueError(f"Unsupported backend provider: {provider}")