feat(bump version):

Merge pull request #152 from msoedov/dependabot/pip/mkdocstrings-0.28.2
build(deps-dev): bump mkdocstrings from 0.28.1 to 0.28.2
2026-06-24 14:19:55 +02:00 · 2025-03-07 19:42:59 +02:00 · 2025-03-07 19:35:13 +02:00 · 2025-03-07 19:35:04 +02:00 · 2025-03-07 17:23:41 +00:00 · 2025-03-07 17:23:09 +00:00
9 changed files with 424 additions and 490 deletions
@@ -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
- \[ \] Complete integration of OWASP Top 10 classification
+
+
+We’re just getting started! Here’s what’s on the horizon:
+
+- **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
@@ -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__":
@@ -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...")
-        prompt_modules = prepare_prompts(
-            dataset_names=[m["dataset_name"] for m in selected_datasets],
-            budget=max_budget,
-            tools_inbox=tools_inbox,
-            options=[m.get("opts", {}) for m in selected_datasets],
-        )
-        yield ScanResult.status_msg("Datasets loaded. Starting scan...")
+    yield ScanResult.status_msg("Loading datasets...")
+    prompt_modules = prepare_prompts(
+        dataset_names=[m["dataset_name"] for m in selected_datasets],
+        budget=max_budget,
+        tools_inbox=tools_inbox,
+        options=[m.get("opts", {}) for m in selected_datasets],
+    )
+    yield ScanResult.status_msg("Datasets loaded. Starting scan...")

-        errors = []
-        refusals = []
-        outputs = []
-        total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
-        processed_prompts = 0
+    errors = []
+    refusals = []
+    outputs = []
+    total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
+    processed_prompts = 0

-        optimizer = (
-            Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
-            if optimize
-            else None
-        )
-        failure_rates = []
+    optimizer = (
+        Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
+        if optimize
+        else None
+    )
+    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
-        for module in prompt_modules:
-            if should_stop:
-                break
-            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
+        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):
-                if stop_event and stop_event.is_set():
-                    stop_event.clear()
-                    logger.info("Scan stopped by user.")
-                    yield ScanResult.status_msg("Scan stopped by user.")
-                    return
+        async for prompt in generate_prompts(module.prompts):
+            if stop_event and stop_event.is_set():
+                stop_event.clear()
+                logger.info("Scan stopped by user.")
+                yield ScanResult.status_msg("Scan stopped by user.")
+                return

-                processed_prompts += 1
-                module_prompts += 1  # Fixed increment syntax
-                # Calculate progress based on total processed prompts
-                progress = (
-                    100 * processed_prompts / total_prompts if total_prompts else 0
-                )
+            processed_prompts += 1
+            module_prompts += 1  # Fixed increment syntax
+            # Calculate progress based on total processed prompts
+            progress = 100 * processed_prompts / total_prompts if total_prompts else 0
+            progress = progress % 100

-                total_tokens -= tokens
-                start = time.time()
-                tokens, failed = await process_prompt(
-                    request_factory,
-                    prompt,
-                    tokens,
-                    module.dataset_name,
-                    refusals,
-                    errors,
-                    outputs,
-                )
-                end = time.time()
-                total_tokens += tokens
+            total_tokens -= tokens
+            start = time.time()
+            tokens, failed = await process_prompt(
+                request_factory,
+                prompt,
+                tokens,
+                module.dataset_name,
+                refusals,
+                errors,
+                outputs,
+            )
+            end = time.time()
+            total_tokens += tokens

-                if failed:
-                    module_failures += 1
-                failure_rate = module_failures / max(module_prompts, 1)
-                failure_rates.append(failure_rate)
-                cost = calculate_cost(tokens)
+            if failed:
+                module_failures += 1
+            failure_rate = module_failures / max(module_prompts, 1)
+            failure_rates.append(failure_rate)
+            cost = calculate_cost(tokens)

-                last_output = outputs[-1] if outputs else None
-                if last_output and last_output[1] == prompt:
-                    response_text = last_output[2]
-                else:
-                    response_text = ""
+            last_output = outputs[-1] if outputs else None
+            if last_output and last_output[1] == prompt:
+                response_text = last_output[2]
+            else:
+                response_text = ""

-                yield ScanResult(
-                    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],
-                    latency=end - start,
-                    model=response_text,
-                ).model_dump_json()
+            yield ScanResult(
+                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],
+                latency=end - start,
+                model=response_text,
+            ).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..."
-                        )
-                        should_stop = True
-                        break
-                if total_tokens > max_budget:
-                    logger.info(
-                        f"Scan ran out of budget and stopped. {total_tokens=} {max_budget=}"
-                    )
+            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"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
-        df = pd.DataFrame(
-            failure_data, 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)}")
-    finally:
-        yield ScanResult.status_msg("Scan completed.")
+    failure_data = errors + refusals
+    df = pd.DataFrame(
+        failure_data, columns=["module", "prompt", "status_code", "content"]
+    )
+    df.to_csv("failures.csv", index=False)


 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
-        yield ScanResult.status_msg("Loading datasets...")
-        prompt_modules = prepare_prompts(
-            dataset_names=[m["dataset_name"] for m in datasets if m["selected"]],
-            budget=max_budget,
-            tools_inbox=tools_inbox,
-        )
-        yield ScanResult.status_msg("Loading datasets for MSJ...")
-        msj_modules = msj_data.prepare_prompts(probe_datasets)
-        yield ScanResult.status_msg("Datasets loaded. Starting scan...")
+    # Load main and probe datasets
+    yield ScanResult.status_msg("Loading datasets...")
+    prompt_modules = prepare_prompts(
+        dataset_names=[m["dataset_name"] for m in datasets if m["selected"]],
+        budget=max_budget,
+        tools_inbox=tools_inbox,
+    )
+    yield ScanResult.status_msg("Loading datasets for MSJ...")
+    msj_modules = msj_data.prepare_prompts(probe_datasets)
+    yield ScanResult.status_msg("Datasets loaded. Starting scan...")

-        errors = []
-        refusals = []
-        outputs = []
-        total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
-        processed_prompts = 0
+    errors = []
+    refusals = []
+    outputs = []
+    total_prompts = sum(len(m.prompts) for m in prompt_modules if not m.lazy)
+    processed_prompts = 0

-        optimizer = (
-            Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
-            if optimize
-            else None
-        )
-        failure_rates = []
+    optimizer = (
+        Optimizer([Real(0, 1)], base_estimator="GP", n_initial_points=25)
+        if optimize
+        else None
+    )
+    failure_rates = []

-        for module in prompt_modules:
-            module_failures = 0
-            module_size = 0 if module.lazy else len(module.prompts)
-            logger.info(f"Scanning {module.dataset_name} {module_size}")
+    for module in prompt_modules:
+        module_failures = 0
+        module_size = 0 if module.lazy else len(module.prompts)
+        logger.info(f"Scanning {module.dataset_name} {module_size}")

-            async for prompt in generate_prompts(module.prompts):
-                if stop_event and stop_event.is_set():
-                    stop_event.clear()
-                    logger.info("Scan stopped by user.")
-                    yield ScanResult.status_msg("Scan stopped by user.")
-                    return
-                tokens = 0
-                processed_prompts += 1
-                progress = (
-                    100 * processed_prompts / total_prompts if total_prompts else 0
+        async for prompt in generate_prompts(module.prompts):
+            if stop_event and stop_event.is_set():
+                stop_event.clear()
+                logger.info("Scan stopped by user.")
+                yield ScanResult.status_msg("Scan stopped by user.")
+                return
+            tokens = 0
+            processed_prompts += 1
+            progress = 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 = ""
-                msj_module = random.choice(msj_modules)
+            failure_rate = module_failures / max(processed_prompts, 1)
+            failure_rates.append(failure_rate)
+            cost = calculate_cost(tokens)

-                prompt_tokens = len(full_prompt.split())
-                tokens += prompt_tokens
+            yield ScanResult(
+                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
-                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 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..."
                    )
-                    if failed:
-                        module_failures += 1
-                        break
-                    if injected:
-                        break
+                    break

-                failure_rate = module_failures / max(processed_prompts, 1)
-                failure_rates.append(failure_rate)
-                cost = calculate_cost(tokens)
+    yield ScanResult.status_msg("Scan completed.")

-                yield ScanResult(
-                    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()
-
-                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
+    df = pd.DataFrame(
+        errors + refusals, columns=["module", "prompt", "status_code", "content"]
+    )
+    df.to_csv("failures.csv", index=False)


 def scan_router(
@@ -372,23 +368,27 @@ def scan_router(
    stop_event: asyncio.Event = None,
 ):
    if scan_parameters.enableMultiStepAttack:
-        return perform_many_shot_scan(
-            request_factory=request_factory,
-            max_budget=scan_parameters.maxBudget,
-            datasets=scan_parameters.datasets,
-            probe_datasets=scan_parameters.probe_datasets,
-            tools_inbox=tools_inbox,
-            optimize=scan_parameters.optimize,
-            stop_event=stop_event,
-            secrets=scan_parameters.secrets,
+        return with_error_handling(
+            perform_many_shot_scan(
+                request_factory=request_factory,
+                max_budget=scan_parameters.maxBudget,
+                datasets=scan_parameters.datasets,
+                probe_datasets=scan_parameters.probe_datasets,
+                tools_inbox=tools_inbox,
+                optimize=scan_parameters.optimize,
+                stop_event=stop_event,
+                secrets=scan_parameters.secrets,
+            )
        )
    else:
-        return perform_single_shot_scan(
-            request_factory=request_factory,
-            max_budget=scan_parameters.maxBudget,
-            datasets=scan_parameters.datasets,
-            tools_inbox=tools_inbox,
-            optimize=scan_parameters.optimize,
-            stop_event=stop_event,
-            secrets=scan_parameters.secrets,
+        return with_error_handling(
+            perform_single_shot_scan(
+                request_factory=request_factory,
+                max_budget=scan_parameters.maxBudget,
+                datasets=scan_parameters.datasets,
+                tools_inbox=tools_inbox,
+                optimize=scan_parameters.optimize,
+                stop_event=stop_event,
+                secrets=scan_parameters.secrets,
+            )
        )
@@ -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(
@@ -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">
@@ -1,14 +1,16 @@
 :root {
-  --md-primary-fg-color: #e92063;
-  --md-primary-fg-color--light: #e92063;
-  --md-primary-fg-color--dark: #e92063;
+  --md-primary-fg-color: #2E4053;
+  /* Primary color changed to pinkish */
+  --md-primary-fg-color--light: #E0A3B6;
+  --md-primary-fg-color--dark: #1C3F74;
+  /* Dark variant changed to blue */
 }

-
-/* Revert hue value to that of pre mkdocs-material v9.4.0 */
+/* Updated slate color scheme with new background */
 [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;
@@ -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
@@ -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"
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 [[package]]
 name = "mkdocs-autorefs"
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 python-versions = ">=3.9"
 files = [
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 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
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 requests = ">=2.26,<3.0"

 [package.extras]
@@ -1939,13 +1957,13 @@ files = [

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 MarkupSafe = ">=1.1"
 mkdocs = ">=1.4"
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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-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
+    {file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
+    {file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
 ]

 [package.extras]
@@ -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>"]
Author	SHA1	Message	Date
Alexander Myasoedov	21180b53e5	feat(bump version):	2025-03-07 19:42:59 +02:00
Alexander Myasoedov	a8808b3165	Merge pull request #152 from msoedov/dependabot/pip/mkdocstrings-0.28.2 build(deps-dev): bump mkdocstrings from 0.28.1 to 0.28.2	2025-03-07 19:35:13 +02:00
Alexander Myasoedov	87c26ca3cc	Merge pull request #153 from msoedov/dependabot/pip/numpy-2.2.3 build(deps): bump numpy from 2.2.2 to 2.2.3	2025-03-07 19:35:04 +02:00
dependabot[bot]	e06c6932de	build(deps): bump numpy from 2.2.2 to 2.2.3 Bumps [numpy](https://github.com/numpy/numpy) from 2.2.2 to 2.2.3. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](https://github.com/numpy/numpy/compare/v2.2.2...v2.2.3) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-07 17:23:41 +00:00
dependabot[bot]	51fcc38885	build(deps-dev): bump mkdocstrings from 0.28.1 to 0.28.2 Bumps [mkdocstrings](https://github.com/mkdocstrings/mkdocstrings) from 0.28.1 to 0.28.2. - [Release notes](https://github.com/mkdocstrings/mkdocstrings/releases) - [Changelog](https://github.com/mkdocstrings/mkdocstrings/blob/main/CHANGELOG.md) - [Commits](https://github.com/mkdocstrings/mkdocstrings/compare/0.28.1...0.28.2) --- updated-dependencies: - dependency-name: mkdocstrings dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-07 17:23:09 +00:00
Alexander Myasoedov	06a7bbfd87	Merge pull request #151 from msoedov/dependabot/pip/pytest-8.3.5 build(deps-dev): bump pytest from 8.3.4 to 8.3.5	2025-03-06 23:12:28 +02:00
Alexander Myasoedov	50f3e52445	Merge pull request #150 from msoedov/dependabot/pip/jinja2-3.1.6 build(deps): bump jinja2 from 3.1.5 to 3.1.6	2025-03-06 23:12:21 +02:00
dependabot[bot]	2bd62c21be	build(deps-dev): bump pytest from 8.3.4 to 8.3.5 Bumps [pytest](https://github.com/pytest-dev/pytest) from 8.3.4 to 8.3.5. - [Release notes](https://github.com/pytest-dev/pytest/releases) - [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst) - [Commits](https://github.com/pytest-dev/pytest/compare/8.3.4...8.3.5) --- updated-dependencies: - dependency-name: pytest dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-06 17:52:36 +00:00
dependabot[bot]	d5d5dd48aa	build(deps): bump jinja2 from 3.1.5 to 3.1.6 Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.5 to 3.1.6. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/jinja/compare/3.1.5...3.1.6) --- updated-dependencies: - dependency-name: jinja2 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-06 17:52:09 +00:00
Alexander Myasoedov	bb2437197a	Merge branch 'main' of github.com:msoedov/agentic_security	2025-03-05 19:39:08 +02:00
Alexander Myasoedov	51bb79aa6d	feat(update docs):	2025-03-05 19:27:44 +02:00
Alexander Myasoedov	94f034fa9f	Merge pull request #147 from msoedov/dependabot/pip/mkdocs-material-9.6.7 build(deps-dev): bump mkdocs-material from 9.6.4 to 9.6.7	2025-03-05 19:26:24 +02:00
Alexander Myasoedov	f69de8720b	Merge pull request #148 from msoedov/dependabot/pip/matplotlib-3.10.1 build(deps): bump matplotlib from 3.10.0 to 3.10.1	2025-03-05 19:26:14 +02:00
Alexander Myasoedov	7c9d83b1a7	fix(icon):	2025-03-05 19:25:45 +02:00
dependabot[bot]	a9d4d671ba	build(deps): bump matplotlib from 3.10.0 to 3.10.1 Bumps [matplotlib](https://github.com/matplotlib/matplotlib) from 3.10.0 to 3.10.1. - [Release notes](https://github.com/matplotlib/matplotlib/releases) - [Commits](https://github.com/matplotlib/matplotlib/compare/v3.10.0...v3.10.1) --- updated-dependencies: - dependency-name: matplotlib dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-05 17:18:42 +00:00
dependabot[bot]	554a219535	build(deps-dev): bump mkdocs-material from 9.6.4 to 9.6.7 Bumps [mkdocs-material](https://github.com/squidfunk/mkdocs-material) from 9.6.4 to 9.6.7. - [Release notes](https://github.com/squidfunk/mkdocs-material/releases) - [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/CHANGELOG) - [Commits](https://github.com/squidfunk/mkdocs-material/compare/9.6.4...9.6.7) --- updated-dependencies: - dependency-name: mkdocs-material dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-05 17:18:14 +00:00
Alexander Myasoedov	32e99006bf	feat(update doc style):	2025-03-05 19:16:43 +02:00
Alexander Myasoedov	8c09d65687	fix(test 2nd link):	2025-03-05 18:56:21 +02:00
Alexander Myasoedov	a2842755fa	fix(revert demo):	2025-03-05 18:55:34 +02:00
Alexander Myasoedov	b923f7fea5	fix(readme):	2025-03-05 18:53:17 +02:00
Alexander Myasoedov	7f30a8ff7a	Merge branch 'main' of github.com:msoedov/agentic_security	2025-03-05 18:49:00 +02:00
Alexander Myasoedov	909cbd69b4	feat(Readme update):	2025-03-05 18:48:52 +02:00
Alexander Myasoedov	4f0ebf180e	Merge pull request #128 from msoedov/dependabot/pip/mypy-1.15.0 build(deps-dev): bump mypy from 1.14.1 to 1.15.0	2025-03-05 15:13:35 +02:00
dependabot[bot]	6be9673aa7	build(deps-dev): bump mypy from 1.14.1 to 1.15.0 Bumps [mypy](https://github.com/python/mypy) from 1.14.1 to 1.15.0. - [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) - [Commits](https://github.com/python/mypy/compare/v1.14.1...v1.15.0) --- updated-dependencies: - dependency-name: mypy dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-05 13:08:33 +00:00
Alexander Myasoedov	bd9ed97d85	Merge pull request #146 from msoedov/dependabot/pip/termcolor-2.5.0 build(deps): bump termcolor from 2.4.0 to 2.5.0	2025-03-05 15:06:40 +02:00
dependabot[bot]	3c88a4d6ba	build(deps): bump termcolor from 2.4.0 to 2.5.0 Bumps [termcolor](https://github.com/termcolor/termcolor) from 2.4.0 to 2.5.0. - [Release notes](https://github.com/termcolor/termcolor/releases) - [Changelog](https://github.com/termcolor/termcolor/blob/main/CHANGES.md) - [Commits](https://github.com/termcolor/termcolor/compare/2.4.0...2.5.0) --- updated-dependencies: - dependency-name: termcolor dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>	2025-03-04 17:36:34 +00:00
Alexander Myasoedov	2001eeb125	fix(init_banner):	2025-03-04 17:30:10 +02:00
Alexander Myasoedov	a26b5dd448	feat(error handling in fuzzer):	2025-03-04 09:34:24 +02:00
Alexander Myasoedov	716a0f67f3	Merge branch 'main' of github.com:msoedov/agentic_security	2025-03-04 09:29:24 +02:00
Alexander Myasoedov	c1bbf6b422	fix(error handling on verify):	2025-03-04 09:24:19 +02:00