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"content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\nUser: Violent content refers to material\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories."
|
||||
}
|
||||
],
|
||||
"stream": false,
|
||||
"temperature": 0.0
|
||||
},
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "llama-guard3:1b"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "rec-fabde751eb5c",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "safe",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama-guard3:1b",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 2,
|
||||
"prompt_tokens": 390,
|
||||
"total_tokens": 392,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -0,0 +1,59 @@
|
|||
{
|
||||
"test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_shields[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-True]",
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama-guard3:1b",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\nUser: Violent content refers to media, such as films,\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories."
|
||||
}
|
||||
],
|
||||
"stream": false,
|
||||
"temperature": 0.0
|
||||
},
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "llama-guard3:1b"
|
||||
},
|
||||
"response": {
|
||||
"body": {
|
||||
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
|
||||
"__data__": {
|
||||
"id": "rec-fb536645a0e3",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"message": {
|
||||
"content": "safe",
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"annotations": null,
|
||||
"audio": null,
|
||||
"function_call": null,
|
||||
"tool_calls": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama-guard3:1b",
|
||||
"object": "chat.completion",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 2,
|
||||
"prompt_tokens": 394,
|
||||
"total_tokens": 396,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -18,7 +18,6 @@ from openai.types.chat.chat_completion_chunk import (
|
|||
from llama_stack.apis.agents import Order
|
||||
from llama_stack.apis.agents.openai_responses import (
|
||||
ListOpenAIResponseInputItem,
|
||||
OpenAIResponseContentPartRefusal,
|
||||
OpenAIResponseInputMessageContentText,
|
||||
OpenAIResponseInputToolFunction,
|
||||
OpenAIResponseInputToolMCP,
|
||||
|
|
@ -39,9 +38,7 @@ from llama_stack.apis.inference import (
|
|||
OpenAIResponseFormatJSONObject,
|
||||
OpenAIResponseFormatJSONSchema,
|
||||
OpenAIUserMessageParam,
|
||||
UserMessage,
|
||||
)
|
||||
from llama_stack.apis.safety import SafetyViolation, ViolationLevel
|
||||
from llama_stack.apis.tools.tools import ListToolDefsResponse, ToolDef, ToolGroups, ToolInvocationResult, ToolRuntime
|
||||
from llama_stack.core.access_control.access_control import default_policy
|
||||
from llama_stack.core.datatypes import ResponsesStoreConfig
|
||||
|
|
@ -1093,52 +1090,3 @@ async def test_create_openai_response_with_invalid_text_format(openai_responses_
|
|||
model=model,
|
||||
text=OpenAIResponseText(format={"type": "invalid"}),
|
||||
)
|
||||
|
||||
|
||||
async def test_check_input_safety_no_violation(openai_responses_impl):
|
||||
"""Test input shield validation with no violations."""
|
||||
messages = [UserMessage(content="Hello world")]
|
||||
shield_ids = ["llama-guard"]
|
||||
|
||||
# Mock successful shield validation (no violation)
|
||||
mock_response = AsyncMock()
|
||||
mock_response.violation = None
|
||||
openai_responses_impl.safety_api.run_shield.return_value = mock_response
|
||||
|
||||
result = await openai_responses_impl._check_input_safety(messages, shield_ids)
|
||||
|
||||
assert result is None
|
||||
openai_responses_impl.safety_api.run_shield.assert_called_once_with(
|
||||
shield_id="llama-guard", messages=messages, params={}
|
||||
)
|
||||
|
||||
|
||||
async def test_check_input_safety_with_violation(openai_responses_impl):
|
||||
"""Test input shield validation with safety violation."""
|
||||
messages = [UserMessage(content="Harmful content")]
|
||||
shield_ids = ["llama-guard"]
|
||||
|
||||
# Mock shield violation
|
||||
violation = SafetyViolation(
|
||||
violation_level=ViolationLevel.ERROR, user_message="Content violates safety guidelines", metadata={}
|
||||
)
|
||||
mock_response = AsyncMock()
|
||||
mock_response.violation = violation
|
||||
openai_responses_impl.safety_api.run_shield.return_value = mock_response
|
||||
|
||||
result = await openai_responses_impl._check_input_safety(messages, shield_ids)
|
||||
|
||||
assert isinstance(result, OpenAIResponseContentPartRefusal)
|
||||
assert result.refusal == "Content violates safety guidelines"
|
||||
assert result.type == "refusal"
|
||||
|
||||
|
||||
async def test_check_input_safety_empty_inputs(openai_responses_impl):
|
||||
"""Test input shield validation with empty inputs."""
|
||||
# Test empty shield_ids
|
||||
result = await openai_responses_impl._check_input_safety([UserMessage(content="test")], [])
|
||||
assert result is None
|
||||
|
||||
# Test empty messages
|
||||
result = await openai_responses_impl._check_input_safety([], ["llama-guard"])
|
||||
assert result is None
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue