[BREAKING] FEAT: Normalize simulated conversation prompts to SeedPrompt

doc/code/datasets/2_seed_programming.ipynb

@@ -478,7 +478,7 @@
    ],
    "source": [
     "from pyrit.common.path import EXECUTOR_RED_TEAM_PATH, EXECUTOR_SIMULATED_TARGET_PATH\n",
-    "from pyrit.models import SeedSimulatedConversation\n",
+    "from pyrit.models import SeedSimulatedConversation, load_next_message_prompt\n",
     "\n",
     "seed_group = AttackSeedGroup(\n",
     "    seeds=[\n",
@@ -488,10 +488,12 @@
     "            role=\"system\",\n",
     "        ),\n",
     "        SeedSimulatedConversation(\n",
-    "            adversarial_chat_system_prompt_path=EXECUTOR_RED_TEAM_PATH / \"naive_crescendo.yaml\",\n",
+    "            adversarial_chat_system_prompt=SeedPrompt.from_yaml_file(EXECUTOR_RED_TEAM_PATH / \"naive_crescendo.yaml\"),\n",
     "            sequence=1,\n",
     "            num_turns=4,\n",
-    "            next_message_system_prompt_path=EXECUTOR_SIMULATED_TARGET_PATH / \"direct_next_message.yaml\",\n",
+    "            next_message_system_prompt=load_next_message_prompt(\n",
+    "                EXECUTOR_SIMULATED_TARGET_PATH / \"direct_next_message.yaml\"\n",
+    "            ),\n",
     "        ),\n",
     "    ]\n",
     ")\n",

doc/code/datasets/2_seed_programming.py

@@ -92,7 +92,7 @@
 
 # %%
 from pyrit.common.path import EXECUTOR_RED_TEAM_PATH, EXECUTOR_SIMULATED_TARGET_PATH
-from pyrit.models import SeedSimulatedConversation
+from pyrit.models import SeedSimulatedConversation, load_next_message_prompt
 
 seed_group = AttackSeedGroup(
     seeds=[
@@ -102,10 +102,12 @@
             role="system",
         ),
         SeedSimulatedConversation(
-            adversarial_chat_system_prompt_path=EXECUTOR_RED_TEAM_PATH / "naive_crescendo.yaml",
+            adversarial_chat_system_prompt=SeedPrompt.from_yaml_file(EXECUTOR_RED_TEAM_PATH / "naive_crescendo.yaml"),
             sequence=1,
             num_turns=4,
-            next_message_system_prompt_path=EXECUTOR_SIMULATED_TARGET_PATH / "direct_next_message.yaml",
+            next_message_system_prompt=load_next_message_prompt(
+                EXECUTOR_SIMULATED_TARGET_PATH / "direct_next_message.yaml"
+            ),
         ),
     ]
 )

doc/code/datasets/5_simulated_conversation.ipynb

@@ -23,7 +23,7 @@
     "\n",
     "## Generating a Simulated Conversation\n",
     "\n",
-    "The function takes an objective, an adversarial chat model, a scorer, and a system prompt path.\n",
+    "The function takes an objective, an adversarial chat model, a scorer, and a system prompt.\n",
     "It runs a `RedTeamingAttack` internally with the adversarial LLM playing both attacker and target\n",
     "roles."
    ]
@@ -63,7 +63,7 @@
     "\n",
     "from pyrit.common.path import EXECUTOR_SEED_PROMPT_PATH\n",
     "from pyrit.executor.attack import generate_simulated_conversation_async\n",
-    "from pyrit.models import SeedGroup\n",
+    "from pyrit.models import SeedGroup, SeedPrompt\n",
     "from pyrit.output import output_attack_async\n",
     "from pyrit.prompt_target import OpenAIChatTarget\n",
     "from pyrit.score import SelfAskRefusalScorer\n",
@@ -82,7 +82,9 @@
     "    adversarial_chat=adversarial_chat,\n",
     "    objective_scorer=objective_scorer,\n",
     "    num_turns=3,\n",
-    "    adversarial_chat_system_prompt_path=Path(EXECUTOR_SEED_PROMPT_PATH) / \"red_teaming\" / \"naive_crescendo.yaml\",\n",
+    "    adversarial_chat_system_prompt=SeedPrompt.from_yaml_file(\n",
+    "        Path(EXECUTOR_SEED_PROMPT_PATH) / \"red_teaming\" / \"naive_crescendo.yaml\"\n",
+    "    ),\n",
     ")\n",
     "\n",
     "print(f\"Generated {len(simulated_result.seed_prompts)} messages\")"
@@ -100,7 +102,7 @@
     "Wrapping the prompts in a `SeedGroup` gives you convenient access to `prepended_conversation`\n",
     "(all turns except the last) and `next_message` (the final user message to continue from).\n",
     "Note that `next_message` is only populated when the last generated message has role `\"user\"` —\n",
-    "if you need a final user turn, pass `next_message_system_prompt_path` to the function.\n",
+    "if you need a final user turn, pass `next_message_system_prompt` to the function.\n",
     "\n",
     "This replaces the earlier `list[SeedPrompt]` return value. Use `result.seed_prompts` where you\n",
     "previously used the returned list."
@@ -521,9 +523,9 @@
     "| `adversarial_chat` | `PromptTarget` | The LLM that generates attack prompts (also plays the simulated target). Must declare `supports_multi_turn=True` and `supports_editable_history=True`. |\n",
     "| `objective_scorer` | `TrueFalseScorer` | Evaluates whether the final turn achieved the objective |\n",
     "| `num_turns` | `int` | Number of conversation turns to generate (default: 3) |\n",
-    "| `adversarial_chat_system_prompt_path` | `str \\| Path` | System prompt for the adversarial chat role |\n",
-    "| `simulated_target_system_prompt_path` | `str \\| Path \\| None` | Optional system prompt for the simulated target role |\n",
-    "| `next_message_system_prompt_path` | `str \\| Path \\| None` | Optional path to generate a final user message that elicits objective fulfillment |\n",
+    "| `adversarial_chat_system_prompt` | `SeedPrompt` | System prompt for the adversarial chat role |\n",
+    "| `simulated_target_system_prompt` | `SeedPrompt \\| None` | Optional system prompt for the simulated target role |\n",
+    "| `next_message_system_prompt` | `SeedPrompt \\| None` | Optional prompt that generates a final user message eliciting objective fulfillment |\n",
     "| `attack_converter_config` | `AttackConverterConfig \\| None` | Optional converter configuration for the attack |\n",
     "| `memory_labels` | `dict[str, str] \\| None` | Labels for tracking in memory |\n",
     "\n",

doc/code/datasets/5_simulated_conversation.py

@@ -27,7 +27,7 @@
 #
 # ## Generating a Simulated Conversation
 #
-# The function takes an objective, an adversarial chat model, a scorer, and a system prompt path.
+# The function takes an objective, an adversarial chat model, a scorer, and a system prompt.
 # It runs a `RedTeamingAttack` internally with the adversarial LLM playing both attacker and target
 # roles.
 
@@ -36,7 +36,7 @@
 
 from pyrit.common.path import EXECUTOR_SEED_PROMPT_PATH
 from pyrit.executor.attack import generate_simulated_conversation_async
-from pyrit.models import SeedGroup
+from pyrit.models import SeedGroup, SeedPrompt
 from pyrit.output import output_attack_async
 from pyrit.prompt_target import OpenAIChatTarget
 from pyrit.score import SelfAskRefusalScorer
@@ -55,7 +55,9 @@
     adversarial_chat=adversarial_chat,
     objective_scorer=objective_scorer,
     num_turns=3,
-    adversarial_chat_system_prompt_path=Path(EXECUTOR_SEED_PROMPT_PATH) / "red_teaming" / "naive_crescendo.yaml",
+    adversarial_chat_system_prompt=SeedPrompt.from_yaml_file(
+        Path(EXECUTOR_SEED_PROMPT_PATH) / "red_teaming" / "naive_crescendo.yaml"
+    ),
 )
 
 print(f"Generated {len(simulated_result.seed_prompts)} messages")
@@ -68,7 +70,7 @@
 # Wrapping the prompts in a `SeedGroup` gives you convenient access to `prepended_conversation`
 # (all turns except the last) and `next_message` (the final user message to continue from).
 # Note that `next_message` is only populated when the last generated message has role `"user"` —
-# if you need a final user turn, pass `next_message_system_prompt_path` to the function.
+# if you need a final user turn, pass `next_message_system_prompt` to the function.
 #
 # This replaces the earlier `list[SeedPrompt]` return value. Use `result.seed_prompts` where you
 # previously used the returned list.
@@ -130,9 +132,9 @@
 # | `adversarial_chat` | `PromptTarget` | The LLM that generates attack prompts (also plays the simulated target). Must declare `supports_multi_turn=True` and `supports_editable_history=True`. |
 # | `objective_scorer` | `TrueFalseScorer` | Evaluates whether the final turn achieved the objective |
 # | `num_turns` | `int` | Number of conversation turns to generate (default: 3) |
-# | `adversarial_chat_system_prompt_path` | `str \| Path` | System prompt for the adversarial chat role |
-# | `simulated_target_system_prompt_path` | `str \| Path \| None` | Optional system prompt for the simulated target role |
-# | `next_message_system_prompt_path` | `str \| Path \| None` | Optional path to generate a final user message that elicits objective fulfillment |
+# | `adversarial_chat_system_prompt` | `SeedPrompt` | System prompt for the adversarial chat role |
+# | `simulated_target_system_prompt` | `SeedPrompt \| None` | Optional system prompt for the simulated target role |
+# | `next_message_system_prompt` | `SeedPrompt \| None` | Optional prompt that generates a final user message eliciting objective fulfillment |
 # | `attack_converter_config` | `AttackConverterConfig \| None` | Optional converter configuration for the attack |
 # | `memory_labels` | `dict[str, str] \| None` | Labels for tracking in memory |
 #

doc/code/memory/3_memory_data_types.md

@@ -84,7 +84,7 @@ All seed types inherit from [`Seed`](../../../pyrit/models/seeds/seed.py), which
 
 - [`SeedObjective`](../../../pyrit/models/seeds/seed_objective.py) — The goal of an attack (e.g., "Generate hate speech content"). Always text. Cannot be a general technique.
 
-- [`SeedSimulatedConversation`](../../../pyrit/models/seeds/seed_simulated_conversation.py) — Configuration for dynamically generating multi-turn conversations. Specifies system prompt paths, number of turns, and sequence offsets. The actual generation happens in the executor layer.
+- [`SeedSimulatedConversation`](../../../pyrit/models/seeds/seed_simulated_conversation.py) — Configuration for dynamically generating multi-turn conversations. Carries the adversarial, simulated-target, and next-message system prompts, the number of turns, and sequence offsets. The actual generation happens in the executor layer.
 
 ### Seed Groups
 

pyrit/executor/attack/core/attack_parameters.py

@@ -174,9 +174,9 @@ async def from_seed_group_async(
                 objective_scorer=objective_scorer,
                 num_turns=simulated_conversation_config.num_turns,
                 starting_sequence=simulated_conversation_config.sequence,
-                adversarial_chat_system_prompt_path=simulated_conversation_config.adversarial_chat_system_prompt_path,
-                simulated_target_system_prompt_path=simulated_conversation_config.simulated_target_system_prompt_path,
-                next_message_system_prompt_path=simulated_conversation_config.next_message_system_prompt_path,
+                adversarial_chat_system_prompt=simulated_conversation_config.adversarial_chat_system_prompt,
+                simulated_target_system_prompt=simulated_conversation_config.simulated_target_system_prompt,
+                next_message_system_prompt=simulated_conversation_config.next_message_system_prompt,
             )
             simulated_prompts = simulated_result.seed_prompts
             if "source_conversations" in valid_fields: