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Merged
RomiconEZ merged 4 commits into from
Jul 27, 2025
Merged

Release v3.3.0 #156

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8d6d8bc
Bump version to 3.3.0
RomiconEZ Jul 15, 2025
78e5346
Enhance test cases and add default handling for num_attempts parameter
RomiconEZ Jul 15, 2025
3deca0f
Merge remote-tracking branch 'origin/main' into main_last
RomiconEZ Jul 27, 2025
efac9ff
Update Run Tests section in CONTRIBUTING.md for clearer test instruct…
RomiconEZ Jul 27, 2025
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2 changes: 1 addition & 1 deletion .bumpversion.cfg
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
[bumpversion]
current_version = 3.2.0
current_version = 3.3.0
commit = False
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+))?
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4 changes: 2 additions & 2 deletions CONTRIBUTING.md
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Expand Up @@ -48,9 +48,9 @@ pre-commit install

### Run Tests

1. Navigate to `tests/test_local_llamator.py`.
1. Navigate to the `tests` directory.
2. Create `.env` from `.env.example` and fill in the necessary fields.
3. Run the test function based on your LLM client setup.
3. Run an appropriate test file for your LLM client configuration.

## Making Changes

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -14,7 +14,7 @@ Red Teaming python-framework for testing chatbots and GenAI systems
## Install 🚀

```bash
pip install llamator==3.2.0
pip install llamator==3.3.0
```

## Documentation 📚
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2 changes: 1 addition & 1 deletion docs/howtos.md
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Expand Up @@ -13,7 +13,7 @@
## Installation Guide

```bash
pip install llamator==3.2.0
pip install llamator==3.3.0
```

## Usage Guide (using LM Studio)
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59 changes: 30 additions & 29 deletions examples/llamator-api.ipynb
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Expand Up @@ -45,14 +45,14 @@
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-10T20:48:57.401571Z",
"start_time": "2025-07-10T20:48:57.399176Z"
"end_time": "2025-07-15T10:52:14.326798Z",
"start_time": "2025-07-15T10:52:08.534205Z"
}
},
"cell_type": "code",
"source": "import llamator",
"outputs": [],
"execution_count": 2
"execution_count": 1
},
{
"cell_type": "code",
Expand Down Expand Up @@ -203,8 +203,8 @@
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-10T20:49:03.961794Z",
"start_time": "2025-07-10T20:49:03.955671Z"
"end_time": "2025-07-15T10:52:22.481186Z",
"start_time": "2025-07-15T10:52:22.474697Z"
}
},
"cell_type": "code",
Expand All @@ -216,62 +216,63 @@
"text": [
"# Example configuration for preset 'all':\n",
"basic_tests = [\n",
" (\"aim_jailbreak\", { \"num_attempts\": 0 }),\n",
" (\"aim_jailbreak\", { \"num_attempts\": 3 }),\n",
" (\"autodan_turbo\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"multistage_depth\": 10,\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"strategy_library_size\": 10\n",
" }),\n",
" (\"base64_injection\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"base64_injection\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"bon\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"num_transformations\": 5,\n",
" \"sigma\": 0.4\n",
" }),\n",
" (\"crescendo\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"multistage_depth\": 5,\n",
" \"num_attempts\": 0\n",
" \"num_attempts\": 3\n",
" }),\n",
" (\"dan\", { \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"deceptive_delight\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"dialogue_injection_devmode\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"dialogue_injection_continuation\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"ethical_compliance\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"harmbench\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"linguistic_evasion\", { \"num_attempts\": 0 }),\n",
" (\"logical_inconsistencies\", { \"multistage_depth\": 20, \"num_attempts\": 0 }),\n",
" (\"dan\", { \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"deceptive_delight\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"dialogue_injection_devmode\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"dialogue_injection_continuation\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"ethical_compliance\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"harmbench\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"linguistic_evasion\", { \"num_attempts\": 3 }),\n",
" (\"linguistic_sandwich\", { \"custom_dataset\": None, \"num_attempts\": 3, \"num_translations\": 5 }),\n",
" (\"logical_inconsistencies\", { \"multistage_depth\": 20, \"num_attempts\": 3 }),\n",
" (\"pair\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"multistage_depth\": 20,\n",
" \"num_attempts\": 0\n",
" \"num_attempts\": 3\n",
" }),\n",
" (\"shuffle\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"num_transformations\": 5\n",
" }),\n",
" (\"suffix\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"sycophancy\", { \"multistage_depth\": 20, \"num_attempts\": 0 }),\n",
" (\"system_prompt_leakage\", { \"custom_dataset\": None, \"multistage_depth\": 20, \"num_attempts\": 0 }),\n",
" (\"suffix\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"sycophancy\", { \"multistage_depth\": 20, \"num_attempts\": 3 }),\n",
" (\"system_prompt_leakage\", { \"custom_dataset\": None, \"multistage_depth\": 20, \"num_attempts\": 3 }),\n",
" (\"time_machine\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"time_context\": \"any\"\n",
" }),\n",
" (\"ucar\", { \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"ucar\", { \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"vlm_lowres_docs\", {\n",
" \"custom_pdf_dir\": None,\n",
" \"is_long_pdf\": False,\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"overwrite_existing_pdfs\": False,\n",
" \"rescale\": 0.25\n",
" }),\n",
Expand All @@ -280,14 +281,14 @@
" \"attack_source\": \"parquet\",\n",
" \"dataset\": \"bigscale_100\",\n",
" \"dataset_variations\": None,\n",
" \"num_attempts\": 0\n",
" \"num_attempts\": 3\n",
" }),\n",
" (\"vlm_text_hallucination\", { \"attack_types\": None, \"num_attempts\": 0 }),\n",
" (\"vlm_text_hallucination\", { \"attack_types\": None, \"num_attempts\": 3 }),\n",
"]\n"
]
}
],
"execution_count": 3
"execution_count": 2
},
{
"cell_type": "code",
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59 changes: 30 additions & 29 deletions examples/llamator-langchain-custom-attack.ipynb
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Expand Up @@ -45,14 +45,14 @@
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-10T20:48:39.812221Z",
"start_time": "2025-07-10T20:48:39.810058Z"
"end_time": "2025-07-15T10:51:52.329146Z",
"start_time": "2025-07-15T10:51:46.534968Z"
}
},
"cell_type": "code",
"source": "import llamator",
"outputs": [],
"execution_count": 2
"execution_count": 1
},
{
"cell_type": "code",
Expand Down Expand Up @@ -1206,8 +1206,8 @@
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-10T20:48:44.130751Z",
"start_time": "2025-07-10T20:48:44.126703Z"
"end_time": "2025-07-15T10:52:02.010099Z",
"start_time": "2025-07-15T10:52:02.002716Z"
}
},
"cell_type": "code",
Expand All @@ -1219,62 +1219,63 @@
"text": [
"# Example configuration for preset 'all':\n",
"basic_tests = [\n",
" (\"aim_jailbreak\", { \"num_attempts\": 0 }),\n",
" (\"aim_jailbreak\", { \"num_attempts\": 3 }),\n",
" (\"autodan_turbo\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"multistage_depth\": 10,\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"strategy_library_size\": 10\n",
" }),\n",
" (\"base64_injection\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"base64_injection\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"bon\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"num_transformations\": 5,\n",
" \"sigma\": 0.4\n",
" }),\n",
" (\"crescendo\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"multistage_depth\": 5,\n",
" \"num_attempts\": 0\n",
" \"num_attempts\": 3\n",
" }),\n",
" (\"dan\", { \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"deceptive_delight\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"dialogue_injection_devmode\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"dialogue_injection_continuation\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"ethical_compliance\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"harmbench\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"linguistic_evasion\", { \"num_attempts\": 0 }),\n",
" (\"logical_inconsistencies\", { \"multistage_depth\": 20, \"num_attempts\": 0 }),\n",
" (\"dan\", { \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"deceptive_delight\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"dialogue_injection_devmode\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"dialogue_injection_continuation\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"ethical_compliance\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"harmbench\", { \"custom_dataset\": None, \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"linguistic_evasion\", { \"num_attempts\": 3 }),\n",
" (\"linguistic_sandwich\", { \"custom_dataset\": None, \"num_attempts\": 3, \"num_translations\": 5 }),\n",
" (\"logical_inconsistencies\", { \"multistage_depth\": 20, \"num_attempts\": 3 }),\n",
" (\"pair\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"multistage_depth\": 20,\n",
" \"num_attempts\": 0\n",
" \"num_attempts\": 3\n",
" }),\n",
" (\"shuffle\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"num_transformations\": 5\n",
" }),\n",
" (\"suffix\", { \"custom_dataset\": None, \"num_attempts\": 0 }),\n",
" (\"sycophancy\", { \"multistage_depth\": 20, \"num_attempts\": 0 }),\n",
" (\"system_prompt_leakage\", { \"custom_dataset\": None, \"multistage_depth\": 20, \"num_attempts\": 0 }),\n",
" (\"suffix\", { \"custom_dataset\": None, \"num_attempts\": 3 }),\n",
" (\"sycophancy\", { \"multistage_depth\": 20, \"num_attempts\": 3 }),\n",
" (\"system_prompt_leakage\", { \"custom_dataset\": None, \"multistage_depth\": 20, \"num_attempts\": 3 }),\n",
" (\"time_machine\", {\n",
" \"custom_dataset\": None,\n",
" \"language\": \"any\",\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"time_context\": \"any\"\n",
" }),\n",
" (\"ucar\", { \"language\": \"any\", \"num_attempts\": 0 }),\n",
" (\"ucar\", { \"language\": \"any\", \"num_attempts\": 3 }),\n",
" (\"vlm_lowres_docs\", {\n",
" \"custom_pdf_dir\": None,\n",
" \"is_long_pdf\": False,\n",
" \"num_attempts\": 0,\n",
" \"num_attempts\": 3,\n",
" \"overwrite_existing_pdfs\": False,\n",
" \"rescale\": 0.25\n",
" }),\n",
Expand All @@ -1283,14 +1284,14 @@
" \"attack_source\": \"parquet\",\n",
" \"dataset\": \"bigscale_100\",\n",
" \"dataset_variations\": None,\n",
" \"num_attempts\": 0\n",
" \"num_attempts\": 3\n",
" }),\n",
" (\"vlm_text_hallucination\", { \"attack_types\": None, \"num_attempts\": 0 }),\n",
" (\"vlm_text_hallucination\", { \"attack_types\": None, \"num_attempts\": 3 }),\n",
"]\n"
]
}
],
"execution_count": 3
"execution_count": 2
},
{
"cell_type": "code",
Expand Down
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