feat(bump version):

build(deps-dev): bump mkdocstrings from 0.28.1 to 0.28.2

Readme.md

@@ -84,6 +84,7 @@ agentic_security --port=PORT --host=HOST
 ## UI 🧙
 
 <img width="100%" alt="booking-screen" src="https://res.cloudinary.com/dq0w2rtm9/image/upload/v1736433557/z0bsyzhsqlgcr3w4ovwp.gif">
+<img width="100%" alt="booking-screen" src="https://res.cloudinary.com/dq0w2rtm9/image/upload/v1741192668/final_aa9jhb.gif">
 
 ## LLM kwargs
 
@@ -408,10 +409,15 @@ For more detailed information on how to use Agentic Security, including advanced
 
 ## Roadmap and Future Goals
 
-- \[ \] Expand dataset variety
+
-- \[ \] Introduce two new attack vectors
+
-- \[ \] Develop initial attacker LLM
+We’re just getting started! Here’s what’s on the horizon:
-- \[ \] Complete integration of OWASP Top 10 classification
+
+- **RL-Powered Attacks**: An attacker LLM trained with reinforcement learning to dynamically evolve jailbreaks and outsmart defenses.
+- **Massive Dataset Expansion**: Scaling to 100,000+ prompts across text, image, and audio modalities—curated for real-world threats.
+- **Daily Attack Updates**: Fresh attack vectors delivered daily, keeping your scans ahead of the curve.
+- **Community Modules**: A plug-and-play ecosystem where you can share and deploy custom probes, datasets, and integrations.
+
 
 | Tool                    | Source                                                                        | Integrated |
 |-------------------------|-------------------------------------------------------------------------------|------------|
@@ -439,4 +445,9 @@ Before contributing, please read the contributing guidelines.
 
 Agentic Security is released under the Apache License v2.
 
+
+## 🚫 No Cryptocurrency Affiliation
+
+Agentic Security is focused solely on AI security and has no affiliation with cryptocurrency projects, blockchain technologies, or related initiatives. Our mission is to advance the safety and reliability of AI systems—no tokens, no coins, just code.
+
 ## Contact us

agentic_security/misc/banner.py

@@ -81,7 +81,11 @@ def generate_banner(
 
 def init_banner():
     ver = version("agentic_security")
-    print(generate_banner(version=ver))
+    try:
+        print(generate_banner(version=ver))
+    except Exception:
+        # UnicodeEncodeError with codec on some systems
+        pass
 
 
 if __name__ == "__main__":

agentic_security/probe_actor/fuzzer.py

@@ -107,6 +107,17 @@ async def process_prompt_batch(
     return total_tokens, failures
 
 
+async def with_error_handling(agen):
+    try:
+        async for t in agen:
+            yield t
+    except Exception as e:
+        logger.exception("Scan failed")
+        yield ScanResult.status_msg(f"Scan failed: {str(e)}")
+    finally:
+        yield ScanResult.status_msg("Scan completed.")
+
+
 async def perform_single_shot_scan(
     request_factory,
     max_budget: int,
@@ -120,125 +131,117 @@ async def perform_single_shot_scan(
     max_budget = max_budget * BUDGET_MULTIPLIER
     selected_datasets = [m for m in datasets if m["selected"]]
     request_factory = multi_modality_spec(request_factory)
-    try:
+    yield ScanResult.status_msg("Loading datasets...")
-        yield ScanResult.status_msg("Loading datasets...")
+    prompt_modules = prepare_prompts(
-        prompt_modules = prepare_prompts(
+        dataset_names=[m["dataset_name"] for m in selected_datasets],
-            dataset_names=[m["dataset_name"] for m in selected_datasets],
+        budget=max_budget,
-            budget=max_budget,
+        tools_inbox=tools_inbox,
-            tools_inbox=tools_inbox,
+        options=[m.get("opts", {}) for m in selected_datasets],
-            options=[m.get("opts", {}) for m in selected_datasets],
+    )
-        )
+    yield ScanResult.status_msg("Datasets loaded. Starting scan...")
-        yield ScanResult.status_msg("Datasets loaded. Starting scan...")
 
-        errors = []
+    errors = []
-        refusals = []
+    refusals = []
-        outputs = []
+    outputs = []
-        total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
+    total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
-        processed_prompts = 0
+    processed_prompts = 0
 
-        optimizer = (
+    optimizer = (
-            Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
+        Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
-            if optimize
+        if optimize
-            else None
+        else None
-        )
+    )
-        failure_rates = []
+    failure_rates = []
 
-        total_tokens = 0
+    total_tokens = 0
+    tokens = 0
+    should_stop = False
+    for module in prompt_modules:
+        if should_stop:
+            break
         tokens = 0
-        should_stop = False
+        module_failures = 0
-        for module in prompt_modules:
+        module_size = 0 if module.lazy else len(module.prompts)
-            if should_stop:
+        logger.info(f"Scanning {module.dataset_name} {module_size}")
-                break
+        module_prompts = 0  # Reset for each module
-            tokens = 0
-            module_failures = 0
-            module_size = 0 if module.lazy else len(module.prompts)
-            logger.info(f"Scanning {module.dataset_name} {module_size}")
-            module_prompts = 0  # Reset for each module
 
-            async for prompt in generate_prompts(module.prompts):
+        async for prompt in generate_prompts(module.prompts):
-                if stop_event and stop_event.is_set():
+            if stop_event and stop_event.is_set():
-                    stop_event.clear()
+                stop_event.clear()
-                    logger.info("Scan stopped by user.")
+                logger.info("Scan stopped by user.")
-                    yield ScanResult.status_msg("Scan stopped by user.")
+                yield ScanResult.status_msg("Scan stopped by user.")
-                    return
+                return
 
-                processed_prompts += 1
+            processed_prompts += 1
-                module_prompts += 1  # Fixed increment syntax
+            module_prompts += 1  # Fixed increment syntax
-                # Calculate progress based on total processed prompts
+            # Calculate progress based on total processed prompts
-                progress = (
+            progress = 100 * processed_prompts / total_prompts if total_prompts else 0
-                    100 * processed_prompts / total_prompts if total_prompts else 0
+            progress = progress % 100
-                )
 
-                total_tokens -= tokens
+            total_tokens -= tokens
-                start = time.time()
+            start = time.time()
-                tokens, failed = await process_prompt(
+            tokens, failed = await process_prompt(
-                    request_factory,
+                request_factory,
-                    prompt,
+                prompt,
-                    tokens,
+                tokens,
-                    module.dataset_name,
+                module.dataset_name,
-                    refusals,
+                refusals,
-                    errors,
+                errors,
-                    outputs,
+                outputs,
-                )
+            )
-                end = time.time()
+            end = time.time()
-                total_tokens += tokens
+            total_tokens += tokens
 
-                if failed:
+            if failed:
-                    module_failures += 1
+                module_failures += 1
-                failure_rate = module_failures / max(module_prompts, 1)
+            failure_rate = module_failures / max(module_prompts, 1)
-                failure_rates.append(failure_rate)
+            failure_rates.append(failure_rate)
-                cost = calculate_cost(tokens)
+            cost = calculate_cost(tokens)
 
-                last_output = outputs[-1] if outputs else None
+            last_output = outputs[-1] if outputs else None
-                if last_output and last_output[1] == prompt:
+            if last_output and last_output[1] == prompt:
-                    response_text = last_output[2]
+                response_text = last_output[2]
-                else:
+            else:
-                    response_text = ""
+                response_text = ""
 
-                yield ScanResult(
+            yield ScanResult(
-                    module=module.dataset_name,
+                module=module.dataset_name,
-                    tokens=round(tokens / 1000, 1),
+                tokens=round(tokens / 1000, 1),
-                    cost=cost,
+                cost=cost,
-                    progress=round(progress, 2),
+                progress=round(progress, 2),
-                    failureRate=round(failure_rate * 100, 2),
+                failureRate=round(failure_rate * 100, 2),
-                    prompt=prompt[:MAX_PROMPT_LENGTH],
+                prompt=prompt[:MAX_PROMPT_LENGTH],
-                    latency=end - start,
+                latency=end - start,
-                    model=response_text,
+                model=response_text,
-                ).model_dump_json()
+            ).model_dump_json()
 
-                if optimize and len(failure_rates) >= 5:
+            if optimize and len(failure_rates) >= 5:
-                    next_point = optimizer.ask()
+                next_point = optimizer.ask()
-                    optimizer.tell(next_point, -failure_rate)
+                optimizer.tell(next_point, -failure_rate)
-                    best_failure_rate = -optimizer.get_result().fun
+                best_failure_rate = -optimizer.get_result().fun
-                    if best_failure_rate > 0.5:
+                if best_failure_rate > 0.5:
-                        yield ScanResult.status_msg(
-                            f"High failure rate detected ({best_failure_rate:.2%}). Stopping this module..."
-                        )
-                        should_stop = True
-                        break
-                if total_tokens > max_budget:
-                    logger.info(
-                        f"Scan ran out of budget and stopped. {total_tokens=} {max_budget=}"
-                    )
                     yield ScanResult.status_msg(
-                        f"Scan ran out of budget and stopped. {total_tokens=} {max_budget=}"
+                        f"High failure rate detected ({best_failure_rate:.2%}). Stopping this module..."
                     )
                     should_stop = True
                     break
+            if total_tokens > max_budget:
+                logger.info(
+                    f"Scan ran out of budget and stopped. {total_tokens=} {max_budget=}"
+                )
+                yield ScanResult.status_msg(
+                    f"Scan ran out of budget and stopped. {total_tokens=} {max_budget=}"
+                )
+                should_stop = True
+                break
 
-        yield ScanResult.status_msg("Scan completed.")
+    yield ScanResult.status_msg("Scan completed.")
 
-        failure_data = errors + refusals
+    failure_data = errors + refusals
-        df = pd.DataFrame(
+    df = pd.DataFrame(
-            failure_data, columns=["module", "prompt", "status_code", "content"]
+        failure_data, columns=["module", "prompt", "status_code", "content"]
-        )
+    )
-        df.to_csv("failures.csv", index=False)
+    df.to_csv("failures.csv", index=False)
-
-    except Exception as e:
-        logger.exception("Scan failed")
-        yield ScanResult.status_msg(f"Scan failed: {str(e)}")
-    finally:
-        yield ScanResult.status_msg("Scan completed.")
 
 
 async def perform_many_shot_scan(
@@ -255,114 +258,107 @@ async def perform_many_shot_scan(
 ) -> AsyncGenerator[str, None]:
     """Perform a multi-step security scan with probe injection."""
     request_factory = multi_modality_spec(request_factory)
-    try:
+    # Load main and probe datasets
-        # Load main and probe datasets
+    yield ScanResult.status_msg("Loading datasets...")
-        yield ScanResult.status_msg("Loading datasets...")
+    prompt_modules = prepare_prompts(
-        prompt_modules = prepare_prompts(
+        dataset_names=[m["dataset_name"] for m in datasets if m["selected"]],
-            dataset_names=[m["dataset_name"] for m in datasets if m["selected"]],
+        budget=max_budget,
-            budget=max_budget,
+        tools_inbox=tools_inbox,
-            tools_inbox=tools_inbox,
+    )
-        )
+    yield ScanResult.status_msg("Loading datasets for MSJ...")
-        yield ScanResult.status_msg("Loading datasets for MSJ...")
+    msj_modules = msj_data.prepare_prompts(probe_datasets)
-        msj_modules = msj_data.prepare_prompts(probe_datasets)
+    yield ScanResult.status_msg("Datasets loaded. Starting scan...")
-        yield ScanResult.status_msg("Datasets loaded. Starting scan...")
 
-        errors = []
+    errors = []
-        refusals = []
+    refusals = []
-        outputs = []
+    outputs = []
-        total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
+    total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
-        processed_prompts = 0
+    processed_prompts = 0
 
-        optimizer = (
+    optimizer = (
-            Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
+        Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
-            if optimize
+        if optimize
-            else None
+        else None
-        )
+    )
-        failure_rates = []
+    failure_rates = []
 
-        for module in prompt_modules:
+    for module in prompt_modules:
-            module_failures = 0
+        module_failures = 0
-            module_size = 0 if module.lazy else len(module.prompts)
+        module_size = 0 if module.lazy else len(module.prompts)
-            logger.info(f"Scanning {module.dataset_name} {module_size}")
+        logger.info(f"Scanning {module.dataset_name} {module_size}")
 
-            async for prompt in generate_prompts(module.prompts):
+        async for prompt in generate_prompts(module.prompts):
-                if stop_event and stop_event.is_set():
+            if stop_event and stop_event.is_set():
-                    stop_event.clear()
+                stop_event.clear()
-                    logger.info("Scan stopped by user.")
+                logger.info("Scan stopped by user.")
-                    yield ScanResult.status_msg("Scan stopped by user.")
+                yield ScanResult.status_msg("Scan stopped by user.")
-                    return
+                return
-                tokens = 0
+            tokens = 0
-                processed_prompts += 1
+            processed_prompts += 1
-                progress = (
+            progress = 100 * processed_prompts / total_prompts if total_prompts else 0
-                    100 * processed_prompts / total_prompts if total_prompts else 0
+            progress = progress % 100
+
+            full_prompt = ""
+            msj_module = random.choice(msj_modules)
+
+            prompt_tokens = len(full_prompt.split())
+            tokens += prompt_tokens
+
+            injected = False
+            for _ in range(20):
+                if injected:
+                    break
+
+                m_prompt = random.choice(msj_module.prompts)
+                full_prompt += "\n" + m_prompt
+                if tokens > max_ctx_length:
+                    full_prompt = "\n" + prompt
+                    injected = True
+
+                tokens, failed = await process_prompt(
+                    request_factory,
+                    full_prompt,
+                    tokens,
+                    module.dataset_name,
+                    refusals,
+                    errors,
+                    outputs,
                 )
+                if failed:
+                    module_failures += 1
+                    break
+                if injected:
+                    break
 
-                full_prompt = ""
+            failure_rate = module_failures / max(processed_prompts, 1)
-                msj_module = random.choice(msj_modules)
+            failure_rates.append(failure_rate)
+            cost = calculate_cost(tokens)
 
-                prompt_tokens = len(full_prompt.split())
+            yield ScanResult(
-                tokens += prompt_tokens
+                module=module.dataset_name,
+                tokens=round(tokens / 1000, 1),
+                cost=cost,
+                progress=round(progress, 2),
+                failureRate=round(failure_rate * 100, 2),
+                prompt=prompt[:MAX_PROMPT_LENGTH],
+            ).model_dump_json()
 
-                injected = False
+            if optimize and len(failure_rates) >= 5:
-                for _ in range(20):
+                next_point = optimizer.ask()
-                    if injected:
+                optimizer.tell(next_point, -failure_rate)
-                        break
+                best_failure_rate = -optimizer.get_result().fun
-
+                if best_failure_rate > 0.5:
-                    m_prompt = random.choice(msj_module.prompts)
+                    yield ScanResult.status_msg(
-                    full_prompt += "\n" + m_prompt
+                        f"High failure rate detected ({best_failure_rate:.2%}). Stopping this module..."
-                    if tokens > max_ctx_length:
-                        full_prompt = "\n" + prompt
-                        injected = True
-
-                    tokens, failed = await process_prompt(
-                        request_factory,
-                        full_prompt,
-                        tokens,
-                        module.dataset_name,
-                        refusals,
-                        errors,
-                        outputs,
                     )
-                    if failed:
+                    break
-                        module_failures += 1
-                        break
-                    if injected:
-                        break
 
-                failure_rate = module_failures / max(processed_prompts, 1)
+    yield ScanResult.status_msg("Scan completed.")
-                failure_rates.append(failure_rate)
-                cost = calculate_cost(tokens)
 
-                yield ScanResult(
+    df = pd.DataFrame(
-                    module=module.dataset_name,
+        errors + refusals, columns=["module", "prompt", "status_code", "content"]
-                    tokens=round(tokens / 1000, 1),
+    )
-                    cost=cost,
+    df.to_csv("failures.csv", index=False)
-                    progress=round(progress, 2),
-                    failureRate=round(failure_rate * 100, 2),
-                    prompt=prompt[:MAX_PROMPT_LENGTH],
-                ).model_dump_json()
-
-                if optimize and len(failure_rates) >= 5:
-                    next_point = optimizer.ask()
-                    optimizer.tell(next_point, -failure_rate)
-                    best_failure_rate = -optimizer.get_result().fun
-                    if best_failure_rate > 0.5:
-                        yield ScanResult.status_msg(
-                            f"High failure rate detected ({best_failure_rate:.2%}). Stopping this module..."
-                        )
-                        break
-
-        yield ScanResult.status_msg("Scan completed.")
-
-        df = pd.DataFrame(
-            errors + refusals, columns=["module", "prompt", "status_code", "content"]
-        )
-        df.to_csv("failures.csv", index=False)
-
-    except Exception as e:
-        logger.exception("Scan failed")
-        yield ScanResult.status_msg(f"Scan failed: {str(e)}")
-        raise e
 
 
 def scan_router(
@@ -372,23 +368,27 @@ def scan_router(
     stop_event: asyncio.Event = None,
 ):
     if scan_parameters.enableMultiStepAttack:
-        return perform_many_shot_scan(
+        return with_error_handling(
-            request_factory=request_factory,
+            perform_many_shot_scan(
-            max_budget=scan_parameters.maxBudget,
+                request_factory=request_factory,
-            datasets=scan_parameters.datasets,
+                max_budget=scan_parameters.maxBudget,
-            probe_datasets=scan_parameters.probe_datasets,
+                datasets=scan_parameters.datasets,
-            tools_inbox=tools_inbox,
+                probe_datasets=scan_parameters.probe_datasets,
-            optimize=scan_parameters.optimize,
+                tools_inbox=tools_inbox,
-            stop_event=stop_event,
+                optimize=scan_parameters.optimize,
-            secrets=scan_parameters.secrets,
+                stop_event=stop_event,
+                secrets=scan_parameters.secrets,
+            )
         )
     else:
-        return perform_single_shot_scan(
+        return with_error_handling(
-            request_factory=request_factory,
+            perform_single_shot_scan(
-            max_budget=scan_parameters.maxBudget,
+                request_factory=request_factory,
-            datasets=scan_parameters.datasets,
+                max_budget=scan_parameters.maxBudget,
-            tools_inbox=tools_inbox,
+                datasets=scan_parameters.datasets,
-            optimize=scan_parameters.optimize,
+                tools_inbox=tools_inbox,
-            stop_event=stop_event,
+                optimize=scan_parameters.optimize,
-            secrets=scan_parameters.secrets,
+                stop_event=stop_event,
+                secrets=scan_parameters.secrets,
+            )
         )

agentic_security/routes/scan.py

@@ -10,6 +10,7 @@ from fastapi import (
     UploadFile,
 )
 from fastapi.responses import StreamingResponse
+from loguru import logger
 
 from ..core.app import get_stop_event, get_tools_inbox, set_current_run
 from ..dependencies import InMemorySecrets, get_in_memory_secrets
@@ -25,7 +26,12 @@ async def verify(
     info: LLMInfo, secrets: InMemorySecrets = Depends(get_in_memory_secrets)
 ):
     spec = LLMSpec.from_string(info.spec)
-    r = await spec.verify()
+    try:
+        r = await spec.verify()
+    except Exception as e:
+        logger.exception(e)
+        raise HTTPException(status_code=400, detail=str(e))
+
     if r.status_code >= 400:
         raise HTTPException(status_code=r.status_code, detail=r.text)
     return dict(

docs/index.md

@@ -21,4 +21,4 @@ Note: Please be aware that Agentic Security is designed as a safety scanner tool
 
 ## UI 🧙
 
-<img width="100%" alt="booking-screen" src="https://res.cloudinary.com/dq0w2rtm9/image/upload/v1736433557/z0bsyzhsqlgcr3w4ovwp.gif">
+<img width="100%" alt="booking-screen" src="https://res.cloudinary.com/dq0w2rtm9/image/upload/v1741192668/final_aa9jhb.gif">

docs/stylesheets/extra.css

@@ -1,14 +1,16 @@
 :root {
-  --md-primary-fg-color: #e92063;
+  --md-primary-fg-color: #2E4053;
-  --md-primary-fg-color--light: #e92063;
+  /* Primary color changed to pinkish */
-  --md-primary-fg-color--dark: #e92063;
+  --md-primary-fg-color--light: #E0A3B6;
+  --md-primary-fg-color--dark: #1C3F74;
+  /* Dark variant changed to blue */
 }
 
-
+/* Updated slate color scheme with new background */
-/* Revert hue value to that of pre mkdocs-material v9.4.0 */
 [data-md-color-scheme="slate"] {
   --md-hue: 230;
-  --md-default-bg-color: hsla(230, 15%, 21%, 1);
+  --md-default-bg-color: #1A1A1A;
+  /* Background changed to dark gray */
 }
 
 .hide {
@@ -24,12 +26,15 @@ img.index-header {
   max-width: 500px;
 }
 
+/* Updated custom colors */
 .pydantic-pink {
-  color: #FF007F;
+  color: #E0A3B6;
+  /* Updated to match new theme */
 }
 
 .team-blue {
-  color: #0072CE;
+  color: #1C3F74;
+  /* Updated to match new theme */
 }
 
 .secure-green {
@@ -67,7 +72,6 @@ img.index-header {
   text-align: center;
 }
 
-
 /* Hide the entire footer */
 .md-footer {
   display: none;

mkdocs.yml

@@ -89,7 +89,7 @@ theme:
         name: Switch to light mode
   icon:
     repo: fontawesome/brands/github
-  favicon: "https://res.cloudinary.com/dq0w2rtm9/image/upload/v1737555066/r17hrkre246doczwmvbv.png"
+  favicon: https://res.cloudinary.com/dq0w2rtm9/image/upload/v1741195421/favicon_kuz6xr.png
 
 extra:
   generator: false

poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -229,6 +229,24 @@ files = [
 [package.extras]
 dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
+[[package]]
+name = "backrefs"
+version = "5.8"
+description = "A wrapper around re and regex that adds additional back references."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "backrefs-5.8-py310-none-any.whl", hash = "sha256:c67f6638a34a5b8730812f5101376f9d41dc38c43f1fdc35cb54700f6ed4465d"},
+    {file = "backrefs-5.8-py311-none-any.whl", hash = "sha256:2e1c15e4af0e12e45c8701bd5da0902d326b2e200cafcd25e49d9f06d44bb61b"},
+    {file = "backrefs-5.8-py312-none-any.whl", hash = "sha256:bbef7169a33811080d67cdf1538c8289f76f0942ff971222a16034da88a73486"},
+    {file = "backrefs-5.8-py313-none-any.whl", hash = "sha256:e3a63b073867dbefd0536425f43db618578528e3896fb77be7141328642a1585"},
+    {file = "backrefs-5.8-py39-none-any.whl", hash = "sha256:a66851e4533fb5b371aa0628e1fee1af05135616b86140c9d787a2ffdf4b8fdc"},
+    {file = "backrefs-5.8.tar.gz", hash = "sha256:2cab642a205ce966af3dd4b38ee36009b31fa9502a35fd61d59ccc116e40a6bd"},
+]
+
+[package.extras]
+extras = ["regex"]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -1311,13 +1329,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.5"
+version = "3.1.6"
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 ]
 
 [package.dependencies]
@@ -1848,13 +1866,13 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp
 
 [[package]]
 name = "mkdocs-autorefs"
-version = "1.3.0"
+version = "1.4.0"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1899,17 +1917,18 @@ pygments = ">2.12.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.6.4"
+version = "9.6.7"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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+backrefs = ">=5.7.post1,<6.0"
 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
@@ -1918,7 +1937,6 @@ mkdocs-material-extensions = ">=1.3,<2.0"
 paginate = ">=0.5,<1.0"
 pygments = ">=2.16,<3.0"
 pymdown-extensions = ">=10.2,<11.0"
-regex = ">=2022.4"
 requests = ">=2.26,<3.0"
 
 [package.extras]
@@ -1939,13 +1957,13 @@ files = [
 
 [[package]]
 name = "mkdocstrings"
-version = "0.28.1"
+version = "0.28.2"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1953,7 +1971,7 @@ Jinja2 = ">=2.11.1"
 Markdown = ">=3.6"
 MarkupSafe = ">=1.1"
 mkdocs = ">=1.4"
-mkdocs-autorefs = ">=1.3"
+mkdocs-autorefs = ">=1.4"
 mkdocs-get-deps = ">=0.2"
 pymdown-extensions = ">=6.3"
 
@@ -2087,49 +2105,43 @@ dill = ">=0.3.8"
 
 [[package]]
 name = "mypy"
-version = "1.14.1"
+version = "1.15.0"
 description = "Optional static typing for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [[package]]
@@ -3161,13 +3173,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
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 [package.dependencies]
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 rpds-py = ">=0.7.0"
 
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-    {file = "regex-2024.11.6.tar.gz", hash = "sha256:7ab159b063c52a0333c884e4679f8d7a85112ee3078fe3d9004b2dd875585519"},
-]
-
 [[package]]
 name = "requests"
 version = "2.32.3"
@@ -4030,13 +3939,13 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "termcolor"
-version = "2.4.0"
+version = "2.5.0"
 description = "ANSI color formatting for output in terminal"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
+    {file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
-    {file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
+    {file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
 ]
 
 [package.extras]

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "agentic_security"
-version = "0.5.1"
+version = "0.6.0"
 description = "Agentic LLM vulnerability scanner"
 authors = ["Alexander Miasoiedov <msoedov@gmail.com>"]
 maintainers = ["Alexander Miasoiedov <msoedov@gmail.com>"]