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slekkala1 2025-08-14 17:24:18 -07:00 committed by GitHub
commit e32ecc7d33
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9 changed files with 144 additions and 24 deletions

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@ -6,9 +6,7 @@
from typing import Any
from llama_stack.apis.inference import (
Message,
)
from llama_stack.apis.inference import Message
from llama_stack.apis.safety import RunShieldResponse, Safety
from llama_stack.apis.safety.safety import ModerationObject
from llama_stack.apis.shields import Shield
@ -68,6 +66,7 @@ class SafetyRouter(Safety):
list_shields_response = await self.routing_table.list_shields()
matches = [s.identifier for s in list_shields_response.data if model == s.provider_resource_id]
if not matches:
raise ValueError(f"No shield associated with provider_resource id {model}")
if len(matches) > 1:

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@ -28,6 +28,7 @@ distribution_spec:
- provider_type: inline::localfs
safety:
- provider_type: inline::llama-guard
- provider_type: inline::code-scanner
agents:
- provider_type: inline::meta-reference
telemetry:

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@ -134,6 +134,8 @@ providers:
provider_type: inline::llama-guard
config:
excluded_categories: []
- provider_id: code-scanner
provider_type: inline::code-scanner
agents:
- provider_id: meta-reference
provider_type: inline::meta-reference
@ -215,6 +217,9 @@ shields:
- shield_id: llama-guard
provider_id: ${env.SAFETY_MODEL:+llama-guard}
provider_shield_id: ${env.SAFETY_MODEL:=}
- shield_id: code-scanner
provider_id: ${env.CODE_SCANNER_MODEL:+code-scanner}
provider_shield_id: ${env.CODE_SCANNER_MODEL:=}
vector_dbs: []
datasets: []
scoring_fns: []

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@ -28,6 +28,7 @@ distribution_spec:
- provider_type: inline::localfs
safety:
- provider_type: inline::llama-guard
- provider_type: inline::code-scanner
agents:
- provider_type: inline::meta-reference
telemetry:

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@ -134,6 +134,8 @@ providers:
provider_type: inline::llama-guard
config:
excluded_categories: []
- provider_id: code-scanner
provider_type: inline::code-scanner
agents:
- provider_id: meta-reference
provider_type: inline::meta-reference
@ -215,6 +217,9 @@ shields:
- shield_id: llama-guard
provider_id: ${env.SAFETY_MODEL:+llama-guard}
provider_shield_id: ${env.SAFETY_MODEL:=}
- shield_id: code-scanner
provider_id: ${env.CODE_SCANNER_MODEL:+code-scanner}
provider_shield_id: ${env.CODE_SCANNER_MODEL:=}
vector_dbs: []
datasets: []
scoring_fns: []

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@ -15,19 +15,14 @@ from llama_stack.core.datatypes import (
ToolGroupInput,
)
from llama_stack.core.utils.dynamic import instantiate_class_type
from llama_stack.distributions.template import (
DistributionTemplate,
RunConfigSettings,
)
from llama_stack.distributions.template import DistributionTemplate, RunConfigSettings
from llama_stack.providers.datatypes import RemoteProviderSpec
from llama_stack.providers.inline.files.localfs.config import LocalfsFilesImplConfig
from llama_stack.providers.inline.inference.sentence_transformers import (
SentenceTransformersInferenceConfig,
)
from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
from llama_stack.providers.inline.vector_io.milvus.config import (
MilvusVectorIOConfig,
)
from llama_stack.providers.inline.vector_io.milvus.config import MilvusVectorIOConfig
from llama_stack.providers.inline.vector_io.sqlite_vec.config import (
SQLiteVectorIOConfig,
)
@ -119,7 +114,10 @@ def get_distribution_template() -> DistributionTemplate:
BuildProvider(provider_type="remote::pgvector"),
],
"files": [BuildProvider(provider_type="inline::localfs")],
"safety": [BuildProvider(provider_type="inline::llama-guard")],
"safety": [
BuildProvider(provider_type="inline::llama-guard"),
BuildProvider(provider_type="inline::code-scanner"),
],
"agents": [BuildProvider(provider_type="inline::meta-reference")],
"telemetry": [BuildProvider(provider_type="inline::meta-reference")],
"post_training": [BuildProvider(provider_type="inline::huggingface")],
@ -167,6 +165,11 @@ def get_distribution_template() -> DistributionTemplate:
provider_id="${env.SAFETY_MODEL:+llama-guard}",
provider_shield_id="${env.SAFETY_MODEL:=}",
),
ShieldInput(
shield_id="code-scanner",
provider_id="${env.CODE_SCANNER_MODEL:+code-scanner}",
provider_shield_id="${env.CODE_SCANNER_MODEL:=}",
),
]
return DistributionTemplate(

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@ -5,7 +5,11 @@
# the root directory of this source tree.
import logging
from typing import Any
import uuid
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from codeshield.cs import CodeShieldScanResult
from llama_stack.apis.inference import Message
from llama_stack.apis.safety import (
@ -14,6 +18,7 @@ from llama_stack.apis.safety import (
SafetyViolation,
ViolationLevel,
)
from llama_stack.apis.safety.safety import ModerationObject, ModerationObjectResults
from llama_stack.apis.shields import Shield
from llama_stack.providers.utils.inference.prompt_adapter import (
interleaved_content_as_str,
@ -24,8 +29,8 @@ from .config import CodeScannerConfig
log = logging.getLogger(__name__)
ALLOWED_CODE_SCANNER_MODEL_IDS = [
"CodeScanner",
"CodeShield",
"code-scanner",
"code-shield",
]
@ -69,3 +74,55 @@ class MetaReferenceCodeScannerSafetyImpl(Safety):
metadata={"violation_type": ",".join([issue.pattern_id for issue in result.issues_found])},
)
return RunShieldResponse(violation=violation)
def get_moderation_object_results(self, scan_result: "CodeShieldScanResult") -> ModerationObjectResults:
categories = {}
category_scores = {}
category_applied_input_types = {}
flagged = scan_result.is_insecure
user_message = None
metadata = {}
if scan_result.is_insecure:
pattern_ids = [issue.pattern_id for issue in scan_result.issues_found]
categories = dict.fromkeys(pattern_ids, True)
category_scores = dict.fromkeys(pattern_ids, 1.0)
category_applied_input_types = {key: ["text"] for key in pattern_ids}
user_message = f"Security concerns detected in the code. {scan_result.recommended_treatment.name}: {', '.join([issue.description for issue in scan_result.issues_found])}"
metadata = {"violation_type": ",".join([issue.pattern_id for issue in scan_result.issues_found])}
return ModerationObjectResults(
flagged=flagged,
categories=categories,
category_scores=category_scores,
category_applied_input_types=category_applied_input_types,
user_message=user_message,
metadata=metadata,
)
async def run_moderation(self, input: str | list[str], model: str) -> ModerationObject:
inputs = input if isinstance(input, list) else [input]
results = []
from codeshield.cs import CodeShield
for text_input in inputs:
log.info(f"Running CodeScannerShield moderation on input: {text_input[:100]}...")
try:
scan_result = await CodeShield.scan_code(text_input)
moderation_result = self.get_moderation_object_results(scan_result)
except Exception as e:
log.error(f"CodeShield.scan_code failed: {e}")
# create safe fallback response on scanner failure to avoid blocking legitimate requests
moderation_result = ModerationObjectResults(
flagged=False,
categories={},
category_scores={},
category_applied_input_types={},
user_message=None,
metadata={"scanner_error": str(e)},
)
results.append(moderation_result)
return ModerationObject(id=str(uuid.uuid4()), model=model, results=results)

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@ -11,11 +11,7 @@ from string import Template
from typing import Any
from llama_stack.apis.common.content_types import ImageContentItem, TextContentItem
from llama_stack.apis.inference import (
Inference,
Message,
UserMessage,
)
from llama_stack.apis.inference import Inference, Message, UserMessage
from llama_stack.apis.safety import (
RunShieldResponse,
Safety,
@ -72,7 +68,6 @@ SAFETY_CATEGORIES_TO_CODE_MAP = {
}
SAFETY_CODE_TO_CATEGORIES_MAP = {v: k for k, v in SAFETY_CATEGORIES_TO_CODE_MAP.items()}
DEFAULT_LG_V3_SAFETY_CATEGORIES = [
CAT_VIOLENT_CRIMES,
CAT_NON_VIOLENT_CRIMES,
@ -460,7 +455,7 @@ class LlamaGuardShield:
def is_content_safe(self, response: str, unsafe_code: str | None = None) -> bool:
"""Check if content is safe based on response and unsafe code."""
if response.strip() == SAFE_RESPONSE:
if response.strip().lower().startswith(SAFE_RESPONSE):
return True
if unsafe_code:

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@ -27,10 +27,10 @@ def data_url_from_image(file_path):
@pytest.fixture(scope="session")
def code_scanner_shield_id(available_shields):
if "CodeScanner" in available_shields:
return "CodeScanner"
if "code-scanner" in available_shields:
return "code-scanner"
pytest.skip("CodeScanner shield is not available. Skipping.")
pytest.skip("code-scanner shield is not available. Skipping.")
def test_unsafe_examples(client_with_models, shield_id):
@ -163,6 +163,60 @@ def test_safety_with_code_scanner(client_with_models, code_scanner_shield_id, mo
assert response.violation.user_message == "Sorry, I found security concerns in the code."
def test_unsafe_input_with_code_scanner_run_moderation(client_with_models, code_scanner_shield_id, model_providers):
code_safety_enabled = len(CODE_SCANNER_ENABLED_PROVIDERS & model_providers) > 0
if not code_safety_enabled:
pytest.skip(f"Testing code scanner shields is not supported for model_providers {model_providers}")
insecure_code = [
"""
Here is an example of code that hashes a password using MD5:
```
import hashlib
password = 'securepassword123'.encode()
hashed_password = hashlib.md5(password).hexdigest()
print("Insecure hashed password:", hashed_password)
```
"""
]
moderation_object = client_with_models.moderations.create(
input=insecure_code,
model=code_scanner_shield_id,
)
assert moderation_object.results[0].flagged is True, f"Code scanner should have flagged {insecure_code} as insecure"
assert all(value is True for value in moderation_object.results[0].categories.values()), (
"Code scanner shield should have detected code insecure category"
)
def test_safe_input_with_code_scanner_run_moderation(client_with_models, code_scanner_shield_id, model_providers):
code_safety_enabled = len(CODE_SCANNER_ENABLED_PROVIDERS & model_providers) > 0
if not code_safety_enabled:
pytest.skip(f"Testing code scanner shields is not supported for model_providers {model_providers}")
secure_code = [
"""
Extract the first 5 characters from a string:
```
text = "Hello World"
first_five = text[:5]
print(first_five) # Output: "Hello"
# Safe handling for strings shorter than 5 characters
def get_first_five(text):
return text[:5] if text else ""
```
"""
]
moderation_object = client_with_models.moderations.create(
input=secure_code,
model=code_scanner_shield_id,
)
assert moderation_object.results[0].flagged is False, "Code scanner should not have flagged the code as insecure"
# We can use an instance of the LlamaGuard shield to detect attempts to misuse
# the interpreter as this is one of the existing categories it checks for
def test_safety_with_code_interpreter_abuse(client_with_models, shield_id):