feat: Add responses and safety impl extra_body (#3781)

# What does this PR do?

Have closed the previous PR due to merge conflicts with multiple PRs
Addressed all comments from
https://github.com/llamastack/llama-stack/pull/3768 (sorry for carrying
over to this one)


## Test Plan
Added UTs and integration tests

docs/static/deprecated-llama-stack-spec.html

@@ -2135,7 +2135,7 @@
                 "deprecated": true,
                 "x-llama-stack-extra-body-params": [
                     {
-                        "name": "shields",
+                        "name": "guardrails",
                         "schema": {
                             "type": "array",
                             "items": {
@@ -2144,12 +2144,12 @@
                                         "type": "string"
                                     },
                                     {
-                                        "$ref": "#/components/schemas/ResponseShieldSpec"
+                                        "$ref": "#/components/schemas/ResponseGuardrailSpec"
                                     }
                                 ]
                             }
                         },
-                        "description": "List of shields to apply during response generation. Shields provide safety and content moderation.",
+                        "description": "List of guardrails to apply during response generation. Guardrails provide safety and content moderation.",
                         "required": false
                     }
                 ]
@@ -8483,6 +8483,28 @@
                     }
                 }
             },
+            "OpenAIResponseContentPartRefusal": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "refusal",
+                        "default": "refusal",
+                        "description": "Content part type identifier, always \"refusal\""
+                    },
+                    "refusal": {
+                        "type": "string",
+                        "description": "Refusal text supplied by the model"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "refusal"
+                ],
+                "title": "OpenAIResponseContentPartRefusal",
+                "description": "Refusal content within a streamed response part."
+            },
             "OpenAIResponseError": {
                 "type": "object",
                 "properties": {
@@ -9063,6 +9085,23 @@
                 }
             },
             "OpenAIResponseOutputMessageContent": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText"
+                    },
+                    {
+                        "$ref": "#/components/schemas/OpenAIResponseContentPartRefusal"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "output_text": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText",
+                        "refusal": "#/components/schemas/OpenAIResponseContentPartRefusal"
+                    }
+                }
+            },
+            "OpenAIResponseOutputMessageContentOutputText": {
                 "type": "object",
                 "properties": {
                     "text": {
@@ -9567,20 +9606,20 @@
                 "title": "OpenAIResponseUsage",
                 "description": "Usage information for OpenAI response."
             },
-            "ResponseShieldSpec": {
+            "ResponseGuardrailSpec": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "description": "The type/identifier of the shield."
+                        "description": "The type/identifier of the guardrail."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
                     "type"
                 ],
-                "title": "ResponseShieldSpec",
-                "description": "Specification for a shield to apply during response generation."
+                "title": "ResponseGuardrailSpec",
+                "description": "Specification for a guardrail to apply during response generation."
             },
             "OpenAIResponseInputTool": {
                 "oneOf": [
@@ -9981,28 +10020,6 @@
                 "title": "OpenAIResponseContentPartReasoningText",
                 "description": "Reasoning text emitted as part of a streamed response."
             },
-            "OpenAIResponseContentPartRefusal": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "refusal",
-                        "default": "refusal",
-                        "description": "Content part type identifier, always \"refusal\""
-                    },
-                    "refusal": {
-                        "type": "string",
-                        "description": "Refusal text supplied by the model"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "refusal"
-                ],
-                "title": "OpenAIResponseContentPartRefusal",
-                "description": "Refusal content within a streamed response part."
-            },
             "OpenAIResponseObjectStream": {
                 "oneOf": [
                     {

docs/static/deprecated-llama-stack-spec.yaml

@@ -1569,16 +1569,16 @@ paths:
         required: true
       deprecated: true
       x-llama-stack-extra-body-params:
-        - name: shields
+        - name: guardrails
           schema:
             type: array
             items:
               oneOf:
                 - type: string
-                - $ref: '#/components/schemas/ResponseShieldSpec'
+                - $ref: '#/components/schemas/ResponseGuardrailSpec'
           description: >-
-            List of shields to apply during response generation. Shields provide safety
-            and content moderation.
+            List of guardrails to apply during response generation. Guardrails provide
+            safety and content moderation.
           required: false
   /v1/openai/v1/responses/{response_id}:
     get:
@@ -6332,6 +6332,25 @@ components:
           url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation'
           container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation'
           file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath'
+    OpenAIResponseContentPartRefusal:
+      type: object
+      properties:
+        type:
+          type: string
+          const: refusal
+          default: refusal
+          description: >-
+            Content part type identifier, always "refusal"
+        refusal:
+          type: string
+          description: Refusal text supplied by the model
+      additionalProperties: false
+      required:
+        - type
+        - refusal
+      title: OpenAIResponseContentPartRefusal
+      description: >-
+        Refusal content within a streamed response part.
     OpenAIResponseError:
       type: object
       properties:
@@ -6755,6 +6774,15 @@ components:
           mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools'
           mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest'
     OpenAIResponseOutputMessageContent:
+      oneOf:
+        - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText'
+        - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal'
+      discriminator:
+        propertyName: type
+        mapping:
+          output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText'
+          refusal: '#/components/schemas/OpenAIResponseContentPartRefusal'
+    "OpenAIResponseOutputMessageContentOutputText":
       type: object
       properties:
         text:
@@ -7149,18 +7177,18 @@ components:
         - total_tokens
       title: OpenAIResponseUsage
       description: Usage information for OpenAI response.
-    ResponseShieldSpec:
+    ResponseGuardrailSpec:
       type: object
       properties:
         type:
           type: string
-          description: The type/identifier of the shield.
+          description: The type/identifier of the guardrail.
       additionalProperties: false
       required:
         - type
-      title: ResponseShieldSpec
+      title: ResponseGuardrailSpec
       description: >-
-        Specification for a shield to apply during response generation.
+        Specification for a guardrail to apply during response generation.
     OpenAIResponseInputTool:
       oneOf:
         - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch'
@@ -7466,25 +7494,6 @@ components:
       title: OpenAIResponseContentPartReasoningText
       description: >-
         Reasoning text emitted as part of a streamed response.
-    OpenAIResponseContentPartRefusal:
-      type: object
-      properties:
-        type:
-          type: string
-          const: refusal
-          default: refusal
-          description: >-
-            Content part type identifier, always "refusal"
-        refusal:
-          type: string
-          description: Refusal text supplied by the model
-      additionalProperties: false
-      required:
-        - type
-        - refusal
-      title: OpenAIResponseContentPartRefusal
-      description: >-
-        Refusal content within a streamed response part.
     OpenAIResponseObjectStream:
       oneOf:
         - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated'

docs/static/llama-stack-spec.html

@@ -1833,7 +1833,7 @@
                 "deprecated": false,
                 "x-llama-stack-extra-body-params": [
                     {
-                        "name": "shields",
+                        "name": "guardrails",
                         "schema": {
                             "type": "array",
                             "items": {
@@ -1842,12 +1842,12 @@
                                         "type": "string"
                                     },
                                     {
-                                        "$ref": "#/components/schemas/ResponseShieldSpec"
+                                        "$ref": "#/components/schemas/ResponseGuardrailSpec"
                                     }
                                 ]
                             }
                         },
-                        "description": "List of shields to apply during response generation. Shields provide safety and content moderation.",
+                        "description": "List of guardrails to apply during response generation. Guardrails provide safety and content moderation.",
                         "required": false
                     }
                 ]
@@ -5670,6 +5670,28 @@
                     }
                 }
             },
+            "OpenAIResponseContentPartRefusal": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "refusal",
+                        "default": "refusal",
+                        "description": "Content part type identifier, always \"refusal\""
+                    },
+                    "refusal": {
+                        "type": "string",
+                        "description": "Refusal text supplied by the model"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "refusal"
+                ],
+                "title": "OpenAIResponseContentPartRefusal",
+                "description": "Refusal content within a streamed response part."
+            },
             "OpenAIResponseInputFunctionToolCallOutput": {
                 "type": "object",
                 "properties": {
@@ -5905,6 +5927,23 @@
                 "description": "Corresponds to the various Message types in the Responses API. They are all under one type because the Responses API gives them all the same \"type\" value, and there is no way to tell them apart in certain scenarios."
             },
             "OpenAIResponseOutputMessageContent": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText"
+                    },
+                    {
+                        "$ref": "#/components/schemas/OpenAIResponseContentPartRefusal"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "output_text": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText",
+                        "refusal": "#/components/schemas/OpenAIResponseContentPartRefusal"
+                    }
+                }
+            },
+            "OpenAIResponseOutputMessageContentOutputText": {
                 "type": "object",
                 "properties": {
                     "text": {
@@ -7814,20 +7853,20 @@
                 "title": "OpenAIResponseUsage",
                 "description": "Usage information for OpenAI response."
             },
-            "ResponseShieldSpec": {
+            "ResponseGuardrailSpec": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "description": "The type/identifier of the shield."
+                        "description": "The type/identifier of the guardrail."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
                     "type"
                 ],
-                "title": "ResponseShieldSpec",
-                "description": "Specification for a shield to apply during response generation."
+                "title": "ResponseGuardrailSpec",
+                "description": "Specification for a guardrail to apply during response generation."
             },
             "OpenAIResponseInputTool": {
                 "oneOf": [
@@ -8228,28 +8267,6 @@
                 "title": "OpenAIResponseContentPartReasoningText",
                 "description": "Reasoning text emitted as part of a streamed response."
             },
-            "OpenAIResponseContentPartRefusal": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "refusal",
-                        "default": "refusal",
-                        "description": "Content part type identifier, always \"refusal\""
-                    },
-                    "refusal": {
-                        "type": "string",
-                        "description": "Refusal text supplied by the model"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "refusal"
-                ],
-                "title": "OpenAIResponseContentPartRefusal",
-                "description": "Refusal content within a streamed response part."
-            },
             "OpenAIResponseObjectStream": {
                 "oneOf": [
                     {

docs/static/llama-stack-spec.yaml

@@ -1448,16 +1448,16 @@ paths:
         required: true
       deprecated: false
       x-llama-stack-extra-body-params:
-        - name: shields
+        - name: guardrails
           schema:
             type: array
             items:
               oneOf:
                 - type: string
-                - $ref: '#/components/schemas/ResponseShieldSpec'
+                - $ref: '#/components/schemas/ResponseGuardrailSpec'
           description: >-
-            List of shields to apply during response generation. Shields provide safety
-            and content moderation.
+            List of guardrails to apply during response generation. Guardrails provide
+            safety and content moderation.
           required: false
   /v1/responses/{response_id}:
     get:
@@ -4291,6 +4291,25 @@ components:
           url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation'
           container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation'
           file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath'
+    OpenAIResponseContentPartRefusal:
+      type: object
+      properties:
+        type:
+          type: string
+          const: refusal
+          default: refusal
+          description: >-
+            Content part type identifier, always "refusal"
+        refusal:
+          type: string
+          description: Refusal text supplied by the model
+      additionalProperties: false
+      required:
+        - type
+        - refusal
+      title: OpenAIResponseContentPartRefusal
+      description: >-
+        Refusal content within a streamed response part.
     "OpenAIResponseInputFunctionToolCallOutput":
       type: object
       properties:
@@ -4462,6 +4481,15 @@ components:
         under one type because the Responses API gives them all the same "type" value,
         and there is no way to tell them apart in certain scenarios.
     OpenAIResponseOutputMessageContent:
+      oneOf:
+        - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText'
+        - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal'
+      discriminator:
+        propertyName: type
+        mapping:
+          output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText'
+          refusal: '#/components/schemas/OpenAIResponseContentPartRefusal'
+    "OpenAIResponseOutputMessageContentOutputText":
       type: object
       properties:
         text:
@@ -5942,18 +5970,18 @@ components:
         - total_tokens
       title: OpenAIResponseUsage
       description: Usage information for OpenAI response.
-    ResponseShieldSpec:
+    ResponseGuardrailSpec:
       type: object
       properties:
         type:
           type: string
-          description: The type/identifier of the shield.
+          description: The type/identifier of the guardrail.
       additionalProperties: false
       required:
         - type
-      title: ResponseShieldSpec
+      title: ResponseGuardrailSpec
       description: >-
-        Specification for a shield to apply during response generation.
+        Specification for a guardrail to apply during response generation.
     OpenAIResponseInputTool:
       oneOf:
         - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch'
@@ -6259,25 +6287,6 @@ components:
       title: OpenAIResponseContentPartReasoningText
       description: >-
         Reasoning text emitted as part of a streamed response.
-    OpenAIResponseContentPartRefusal:
-      type: object
-      properties:
-        type:
-          type: string
-          const: refusal
-          default: refusal
-          description: >-
-            Content part type identifier, always "refusal"
-        refusal:
-          type: string
-          description: Refusal text supplied by the model
-      additionalProperties: false
-      required:
-        - type
-        - refusal
-      title: OpenAIResponseContentPartRefusal
-      description: >-
-        Refusal content within a streamed response part.
     OpenAIResponseObjectStream:
       oneOf:
         - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated'

docs/static/stainless-llama-stack-spec.html

@@ -1833,7 +1833,7 @@
                 "deprecated": false,
                 "x-llama-stack-extra-body-params": [
                     {
-                        "name": "shields",
+                        "name": "guardrails",
                         "schema": {
                             "type": "array",
                             "items": {
@@ -1842,12 +1842,12 @@
                                         "type": "string"
                                     },
                                     {
-                                        "$ref": "#/components/schemas/ResponseShieldSpec"
+                                        "$ref": "#/components/schemas/ResponseGuardrailSpec"
                                     }
                                 ]
                             }
                         },
-                        "description": "List of shields to apply during response generation. Shields provide safety and content moderation.",
+                        "description": "List of guardrails to apply during response generation. Guardrails provide safety and content moderation.",
                         "required": false
                     }
                 ]
@@ -7342,6 +7342,28 @@
                     }
                 }
             },
+            "OpenAIResponseContentPartRefusal": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "refusal",
+                        "default": "refusal",
+                        "description": "Content part type identifier, always \"refusal\""
+                    },
+                    "refusal": {
+                        "type": "string",
+                        "description": "Refusal text supplied by the model"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "refusal"
+                ],
+                "title": "OpenAIResponseContentPartRefusal",
+                "description": "Refusal content within a streamed response part."
+            },
             "OpenAIResponseInputFunctionToolCallOutput": {
                 "type": "object",
                 "properties": {
@@ -7577,6 +7599,23 @@
                 "description": "Corresponds to the various Message types in the Responses API. They are all under one type because the Responses API gives them all the same \"type\" value, and there is no way to tell them apart in certain scenarios."
             },
             "OpenAIResponseOutputMessageContent": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText"
+                    },
+                    {
+                        "$ref": "#/components/schemas/OpenAIResponseContentPartRefusal"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "output_text": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText",
+                        "refusal": "#/components/schemas/OpenAIResponseContentPartRefusal"
+                    }
+                }
+            },
+            "OpenAIResponseOutputMessageContentOutputText": {
                 "type": "object",
                 "properties": {
                     "text": {
@@ -9486,20 +9525,20 @@
                 "title": "OpenAIResponseUsage",
                 "description": "Usage information for OpenAI response."
             },
-            "ResponseShieldSpec": {
+            "ResponseGuardrailSpec": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "description": "The type/identifier of the shield."
+                        "description": "The type/identifier of the guardrail."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
                     "type"
                 ],
-                "title": "ResponseShieldSpec",
-                "description": "Specification for a shield to apply during response generation."
+                "title": "ResponseGuardrailSpec",
+                "description": "Specification for a guardrail to apply during response generation."
             },
             "OpenAIResponseInputTool": {
                 "oneOf": [
@@ -9900,28 +9939,6 @@
                 "title": "OpenAIResponseContentPartReasoningText",
                 "description": "Reasoning text emitted as part of a streamed response."
             },
-            "OpenAIResponseContentPartRefusal": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "refusal",
-                        "default": "refusal",
-                        "description": "Content part type identifier, always \"refusal\""
-                    },
-                    "refusal": {
-                        "type": "string",
-                        "description": "Refusal text supplied by the model"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "refusal"
-                ],
-                "title": "OpenAIResponseContentPartRefusal",
-                "description": "Refusal content within a streamed response part."
-            },
             "OpenAIResponseObjectStream": {
                 "oneOf": [
                     {

docs/static/stainless-llama-stack-spec.yaml

@@ -1451,16 +1451,16 @@ paths:
         required: true
       deprecated: false
       x-llama-stack-extra-body-params:
-        - name: shields
+        - name: guardrails
           schema:
             type: array
             items:
               oneOf:
                 - type: string
-                - $ref: '#/components/schemas/ResponseShieldSpec'
+                - $ref: '#/components/schemas/ResponseGuardrailSpec'
           description: >-
-            List of shields to apply during response generation. Shields provide safety
-            and content moderation.
+            List of guardrails to apply during response generation. Guardrails provide
+            safety and content moderation.
           required: false
   /v1/responses/{response_id}:
     get:
@@ -5504,6 +5504,25 @@ components:
           url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation'
           container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation'
           file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath'
+    OpenAIResponseContentPartRefusal:
+      type: object
+      properties:
+        type:
+          type: string
+          const: refusal
+          default: refusal
+          description: >-
+            Content part type identifier, always "refusal"
+        refusal:
+          type: string
+          description: Refusal text supplied by the model
+      additionalProperties: false
+      required:
+        - type
+        - refusal
+      title: OpenAIResponseContentPartRefusal
+      description: >-
+        Refusal content within a streamed response part.
     "OpenAIResponseInputFunctionToolCallOutput":
       type: object
       properties:
@@ -5675,6 +5694,15 @@ components:
         under one type because the Responses API gives them all the same "type" value,
         and there is no way to tell them apart in certain scenarios.
     OpenAIResponseOutputMessageContent:
+      oneOf:
+        - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText'
+        - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal'
+      discriminator:
+        propertyName: type
+        mapping:
+          output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText'
+          refusal: '#/components/schemas/OpenAIResponseContentPartRefusal'
+    "OpenAIResponseOutputMessageContentOutputText":
       type: object
       properties:
         text:
@@ -7155,18 +7183,18 @@ components:
         - total_tokens
       title: OpenAIResponseUsage
       description: Usage information for OpenAI response.
-    ResponseShieldSpec:
+    ResponseGuardrailSpec:
       type: object
       properties:
         type:
           type: string
-          description: The type/identifier of the shield.
+          description: The type/identifier of the guardrail.
       additionalProperties: false
       required:
         - type
-      title: ResponseShieldSpec
+      title: ResponseGuardrailSpec
       description: >-
-        Specification for a shield to apply during response generation.
+        Specification for a guardrail to apply during response generation.
     OpenAIResponseInputTool:
       oneOf:
         - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch'
@@ -7472,25 +7500,6 @@ components:
       title: OpenAIResponseContentPartReasoningText
       description: >-
         Reasoning text emitted as part of a streamed response.
-    OpenAIResponseContentPartRefusal:
-      type: object
-      properties:
-        type:
-          type: string
-          const: refusal
-          default: refusal
-          description: >-
-            Content part type identifier, always "refusal"
-        refusal:
-          type: string
-          description: Refusal text supplied by the model
-      additionalProperties: false
-      required:
-        - type
-        - refusal
-      title: OpenAIResponseContentPartRefusal
-      description: >-
-        Refusal content within a streamed response part.
     OpenAIResponseObjectStream:
       oneOf:
         - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated'

llama_stack/apis/agents/agents.py

@@ -43,17 +43,17 @@ from .openai_responses import (
 
 
 @json_schema_type
-class ResponseShieldSpec(BaseModel):
-    """Specification for a shield to apply during response generation.
+class ResponseGuardrailSpec(BaseModel):
+    """Specification for a guardrail to apply during response generation.
 
-    :param type: The type/identifier of the shield.
+    :param type: The type/identifier of the guardrail.
     """
 
     type: str
-    # TODO: more fields to be added for shield configuration
+    # TODO: more fields to be added for guardrail configuration
 
 
-ResponseShield = str | ResponseShieldSpec
+ResponseGuardrail = str | ResponseGuardrailSpec
 
 
 class Attachment(BaseModel):
@@ -820,10 +820,10 @@ class Agents(Protocol):
         tools: list[OpenAIResponseInputTool] | None = None,
         include: list[str] | None = None,
         max_infer_iters: int | None = 10,  # this is an extension to the OpenAI API
-        shields: Annotated[
-            list[ResponseShield] | None,
+        guardrails: Annotated[
+            list[ResponseGuardrail] | None,
             ExtraBodyField(
-                "List of shields to apply during response generation. Shields provide safety and content moderation."
+                "List of guardrails to apply during response generation. Guardrails provide safety and content moderation."
             ),
         ] = None,
     ) -> OpenAIResponseObject | AsyncIterator[OpenAIResponseObjectStream]:
@@ -834,7 +834,7 @@ class Agents(Protocol):
         :param previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses.
         :param conversation: (Optional) The ID of a conversation to add the response to. Must begin with 'conv_'. Input and output messages will be automatically added to the conversation.
         :param include: (Optional) Additional fields to include in the response.
-        :param shields: (Optional) List of shields to apply during response generation. Can be shield IDs (strings) or shield specifications.
+        :param guardrails: (Optional) List of guardrails to apply during response generation. Can be guardrail IDs (strings) or guardrail specifications.
         :returns: An OpenAIResponseObject.
         """
         ...

llama_stack/apis/agents/openai_responses.py

@@ -131,8 +131,20 @@ class OpenAIResponseOutputMessageContentOutputText(BaseModel):
     annotations: list[OpenAIResponseAnnotations] = Field(default_factory=list)
 
 
+@json_schema_type
+class OpenAIResponseContentPartRefusal(BaseModel):
+    """Refusal content within a streamed response part.
+
+    :param type: Content part type identifier, always "refusal"
+    :param refusal: Refusal text supplied by the model
+    """
+
+    type: Literal["refusal"] = "refusal"
+    refusal: str
+
+
 OpenAIResponseOutputMessageContent = Annotated[
-    OpenAIResponseOutputMessageContentOutputText,
+    OpenAIResponseOutputMessageContentOutputText | OpenAIResponseContentPartRefusal,
     Field(discriminator="type"),
 ]
 register_schema(OpenAIResponseOutputMessageContent, name="OpenAIResponseOutputMessageContent")
@@ -878,18 +890,6 @@ class OpenAIResponseContentPartOutputText(BaseModel):
     logprobs: list[dict[str, Any]] | None = None
 
 
-@json_schema_type
-class OpenAIResponseContentPartRefusal(BaseModel):
-    """Refusal content within a streamed response part.
-
-    :param type: Content part type identifier, always "refusal"
-    :param refusal: Refusal text supplied by the model
-    """
-
-    type: Literal["refusal"] = "refusal"
-    refusal: str
-
-
 @json_schema_type
 class OpenAIResponseContentPartReasoningText(BaseModel):
     """Reasoning text emitted as part of a streamed response.

llama_stack/providers/inline/agents/meta_reference/agents.py

@@ -28,6 +28,7 @@ from llama_stack.apis.agents import (
     Session,
     Turn,
 )
+from llama_stack.apis.agents.agents import ResponseGuardrail
 from llama_stack.apis.agents.openai_responses import OpenAIResponseText
 from llama_stack.apis.common.responses import PaginatedResponse
 from llama_stack.apis.conversations import Conversations
@@ -91,6 +92,7 @@ class MetaReferenceAgentsImpl(Agents):
             tool_runtime_api=self.tool_runtime_api,
             responses_store=self.responses_store,
             vector_io_api=self.vector_io_api,
+            safety_api=self.safety_api,
             conversations_api=self.conversations_api,
         )
 
@@ -337,7 +339,7 @@ class MetaReferenceAgentsImpl(Agents):
         tools: list[OpenAIResponseInputTool] | None = None,
         include: list[str] | None = None,
         max_infer_iters: int | None = 10,
-        shields: list | None = None,
+        guardrails: list[ResponseGuardrail] | None = None,
     ) -> OpenAIResponseObject:
         return await self.openai_responses_impl.create_openai_response(
             input,
@@ -352,7 +354,7 @@ class MetaReferenceAgentsImpl(Agents):
             tools,
             include,
             max_infer_iters,
-            shields,
+            guardrails,
         )
 
     async def list_openai_responses(

llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py

@@ -11,6 +11,7 @@ from collections.abc import AsyncIterator
 from pydantic import BaseModel, TypeAdapter
 
 from llama_stack.apis.agents import Order
+from llama_stack.apis.agents.agents import ResponseGuardrailSpec
 from llama_stack.apis.agents.openai_responses import (
     ListOpenAIResponseInputItem,
     ListOpenAIResponseObject,
@@ -34,6 +35,7 @@ from llama_stack.apis.inference import (
     OpenAIMessageParam,
     OpenAISystemMessageParam,
 )
+from llama_stack.apis.safety import Safety
 from llama_stack.apis.tools import ToolGroups, ToolRuntime
 from llama_stack.apis.vector_io import VectorIO
 from llama_stack.log import get_logger
@@ -48,6 +50,7 @@ from .types import ChatCompletionContext, ToolContext
 from .utils import (
     convert_response_input_to_chat_messages,
     convert_response_text_to_chat_response_format,
+    extract_guardrail_ids,
 )
 
 logger = get_logger(name=__name__, category="openai_responses")
@@ -66,6 +69,7 @@ class OpenAIResponsesImpl:
         tool_runtime_api: ToolRuntime,
         responses_store: ResponsesStore,
         vector_io_api: VectorIO,  # VectorIO
+        safety_api: Safety,
         conversations_api: Conversations,
     ):
         self.inference_api = inference_api
@@ -73,6 +77,7 @@ class OpenAIResponsesImpl:
         self.tool_runtime_api = tool_runtime_api
         self.responses_store = responses_store
         self.vector_io_api = vector_io_api
+        self.safety_api = safety_api
         self.conversations_api = conversations_api
         self.tool_executor = ToolExecutor(
             tool_groups_api=tool_groups_api,
@@ -244,14 +249,12 @@ class OpenAIResponsesImpl:
         tools: list[OpenAIResponseInputTool] | None = None,
         include: list[str] | None = None,
         max_infer_iters: int | None = 10,
-        shields: list | None = None,
+        guardrails: list[ResponseGuardrailSpec] | None = None,
     ):
         stream = bool(stream)
         text = OpenAIResponseText(format=OpenAIResponseTextFormat(type="text")) if text is None else text
 
-        # Shields parameter received via extra_body - not yet implemented
-        if shields is not None:
-            raise NotImplementedError("Shields parameter is not yet implemented in the meta-reference provider")
+        guardrail_ids = extract_guardrail_ids(guardrails) if guardrails else []
 
         if conversation is not None:
             if previous_response_id is not None:
@@ -273,6 +276,7 @@ class OpenAIResponsesImpl:
             text=text,
             tools=tools,
             max_infer_iters=max_infer_iters,
+            guardrail_ids=guardrail_ids,
         )
 
         if stream:
@@ -318,6 +322,7 @@ class OpenAIResponsesImpl:
         text: OpenAIResponseText | None = None,
         tools: list[OpenAIResponseInputTool] | None = None,
         max_infer_iters: int | None = 10,
+        guardrail_ids: list[str] | None = None,
     ) -> AsyncIterator[OpenAIResponseObjectStream]:
         # Input preprocessing
         all_input, messages, tool_context = await self._process_input_with_previous_response(
@@ -352,6 +357,8 @@ class OpenAIResponsesImpl:
             text=text,
             max_infer_iters=max_infer_iters,
             tool_executor=self.tool_executor,
+            safety_api=self.safety_api,
+            guardrail_ids=guardrail_ids,
         )
 
         # Stream the response

llama_stack/providers/inline/agents/meta_reference/responses/streaming.py

@@ -66,10 +66,15 @@ from llama_stack.apis.inference import (
     OpenAIMessageParam,
 )
 from llama_stack.log import get_logger
+from llama_stack.providers.utils.inference.prompt_adapter import interleaved_content_as_str
 from llama_stack.providers.utils.telemetry import tracing
 
 from .types import ChatCompletionContext, ChatCompletionResult
-from .utils import convert_chat_choice_to_response_message, is_function_tool_call
+from .utils import (
+    convert_chat_choice_to_response_message,
+    is_function_tool_call,
+    run_guardrails,
+)
 
 logger = get_logger(name=__name__, category="agents::meta_reference")
 
@@ -105,6 +110,8 @@ class StreamingResponseOrchestrator:
         text: OpenAIResponseText,
         max_infer_iters: int,
         tool_executor,  # Will be the tool execution logic from the main class
+        safety_api,
+        guardrail_ids: list[str] | None = None,
     ):
         self.inference_api = inference_api
         self.ctx = ctx
@@ -113,6 +120,8 @@ class StreamingResponseOrchestrator:
         self.text = text
         self.max_infer_iters = max_infer_iters
         self.tool_executor = tool_executor
+        self.safety_api = safety_api
+        self.guardrail_ids = guardrail_ids or []
         self.sequence_number = 0
         # Store MCP tool mapping that gets built during tool processing
         self.mcp_tool_to_server: dict[str, OpenAIResponseInputToolMCP] = ctx.tool_context.previous_tools or {}
@@ -122,6 +131,23 @@ class StreamingResponseOrchestrator:
         self.citation_files: dict[str, str] = {}
         # Track accumulated usage across all inference calls
         self.accumulated_usage: OpenAIResponseUsage | None = None
+        # Track if we've sent a refusal response
+        self.violation_detected = False
+
+    async def _create_refusal_response(self, violation_message: str) -> OpenAIResponseObjectStream:
+        """Create a refusal response to replace streaming content."""
+        refusal_content = OpenAIResponseContentPartRefusal(refusal=violation_message)
+
+        # Create a completed refusal response
+        refusal_response = OpenAIResponseObject(
+            id=self.response_id,
+            created_at=self.created_at,
+            model=self.ctx.model,
+            status="completed",
+            output=[OpenAIResponseMessage(role="assistant", content=[refusal_content], type="message")],
+        )
+
+        return OpenAIResponseObjectStreamResponseCompleted(response=refusal_response)
 
     def _clone_outputs(self, outputs: list[OpenAIResponseOutput]) -> list[OpenAIResponseOutput]:
         cloned: list[OpenAIResponseOutput] = []
@@ -166,6 +192,15 @@ class StreamingResponseOrchestrator:
             sequence_number=self.sequence_number,
         )
 
+        # Input safety validation - check messages before processing
+        if self.guardrail_ids:
+            combined_text = interleaved_content_as_str([msg.content for msg in self.ctx.messages])
+            input_violation_message = await run_guardrails(self.safety_api, combined_text, self.guardrail_ids)
+            if input_violation_message:
+                logger.info(f"Input guardrail violation: {input_violation_message}")
+                yield await self._create_refusal_response(input_violation_message)
+                return
+
         async for stream_event in self._process_tools(output_messages):
             yield stream_event
 
@@ -201,6 +236,11 @@ class StreamingResponseOrchestrator:
                         completion_result_data = stream_event_or_result
                     else:
                         yield stream_event_or_result
+
+                # If violation detected, skip the rest of processing since we already sent refusal
+                if self.violation_detected:
+                    return
+
                 if not completion_result_data:
                     raise ValueError("Streaming chunk processor failed to return completion data")
                 last_completion_result = completion_result_data
@@ -525,6 +565,9 @@ class StreamingResponseOrchestrator:
             # Accumulate usage from chunks (typically in final chunk with stream_options)
             self._accumulate_chunk_usage(chunk)
 
+            # Track deltas for this specific chunk for guardrail validation
+            chunk_events: list[OpenAIResponseObjectStream] = []
+
             for chunk_choice in chunk.choices:
                 # Emit incremental text content as delta events
                 if chunk_choice.delta.content:
@@ -560,13 +603,19 @@ class StreamingResponseOrchestrator:
                             sequence_number=self.sequence_number,
                         )
                     self.sequence_number += 1
-                    yield OpenAIResponseObjectStreamResponseOutputTextDelta(
+
+                    text_delta_event = OpenAIResponseObjectStreamResponseOutputTextDelta(
                         content_index=content_index,
                         delta=chunk_choice.delta.content,
                         item_id=message_item_id,
                         output_index=message_output_index,
                         sequence_number=self.sequence_number,
                     )
+                    # Buffer text delta events for guardrail check
+                    if self.guardrail_ids:
+                        chunk_events.append(text_delta_event)
+                    else:
+                        yield text_delta_event
 
                 # Collect content for final response
                 chat_response_content.append(chunk_choice.delta.content or "")
@@ -582,7 +631,11 @@ class StreamingResponseOrchestrator:
                         message_item_id=message_item_id,
                         message_output_index=message_output_index,
                     ):
-                        yield event
+                        # Buffer reasoning events for guardrail check
+                        if self.guardrail_ids:
+                            chunk_events.append(event)
+                        else:
+                            yield event
                     reasoning_part_emitted = True
                     reasoning_text_accumulated.append(chunk_choice.delta.reasoning_content)
 
@@ -664,6 +717,22 @@ class StreamingResponseOrchestrator:
                                     response_tool_call.function.arguments or ""
                                 ) + tool_call.function.arguments
 
+            # Output Safety Validation for this chunk
+            if self.guardrail_ids:
+                # Check guardrails on accumulated text so far
+                accumulated_text = "".join(chat_response_content)
+                violation_message = await run_guardrails(self.safety_api, accumulated_text, self.guardrail_ids)
+                if violation_message:
+                    logger.info(f"Output guardrail violation: {violation_message}")
+                    chunk_events.clear()
+                    yield await self._create_refusal_response(violation_message)
+                    self.violation_detected = True
+                    return
+                else:
+                    # No violation detected, emit all content events for this chunk
+                    for event in chunk_events:
+                        yield event
+
         # Emit arguments.done events for completed tool calls (differentiate between MCP and function calls)
         for tool_call_index in sorted(chat_response_tool_calls.keys()):
             tool_call = chat_response_tool_calls[tool_call_index]

llama_stack/providers/inline/agents/meta_reference/responses/utils.py

@@ -4,9 +4,11 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
+import asyncio
 import re
 import uuid
 
+from llama_stack.apis.agents.agents import ResponseGuardrailSpec
 from llama_stack.apis.agents.openai_responses import (
     OpenAIResponseAnnotationFileCitation,
     OpenAIResponseInput,
@@ -45,6 +47,7 @@ from llama_stack.apis.inference import (
     OpenAIToolMessageParam,
     OpenAIUserMessageParam,
 )
+from llama_stack.apis.safety import Safety
 
 
 async def convert_chat_choice_to_response_message(
@@ -240,7 +243,8 @@ async def convert_response_text_to_chat_response_format(
     raise ValueError(f"Unsupported text format: {text.format}")
 
 
-async def get_message_type_by_role(role: str):
+async def get_message_type_by_role(role: str) -> type[OpenAIMessageParam] | None:
+    """Get the appropriate OpenAI message parameter type for a given role."""
     role_to_type = {
         "user": OpenAIUserMessageParam,
         "system": OpenAISystemMessageParam,
@@ -307,3 +311,55 @@ def is_function_tool_call(
         if t.type == "function" and t.name == tool_call.function.name:
             return True
     return False
+
+
+async def run_guardrails(safety_api: Safety, messages: str, guardrail_ids: list[str]) -> str | None:
+    """Run guardrails against messages and return violation message if blocked."""
+    if not messages:
+        return None
+
+    # Look up shields to get their provider_resource_id (actual model ID)
+    model_ids = []
+    shields_list = await safety_api.routing_table.list_shields()
+
+    for guardrail_id in guardrail_ids:
+        matching_shields = [shield for shield in shields_list.data if shield.identifier == guardrail_id]
+        if matching_shields:
+            model_id = matching_shields[0].provider_resource_id
+            model_ids.append(model_id)
+        else:
+            raise ValueError(f"No shield found with identifier '{guardrail_id}'")
+
+    guardrail_tasks = [safety_api.run_moderation(messages, model=model_id) for model_id in model_ids]
+    responses = await asyncio.gather(*guardrail_tasks)
+
+    for response in responses:
+        for result in response.results:
+            if result.flagged:
+                message = result.user_message or "Content blocked by safety guardrails"
+                flagged_categories = [cat for cat, flagged in result.categories.items() if flagged]
+                violation_type = result.metadata.get("violation_type", []) if result.metadata else []
+
+                if flagged_categories:
+                    message += f" (flagged for: {', '.join(flagged_categories)})"
+                if violation_type:
+                    message += f" (violation type: {', '.join(violation_type)})"
+
+                return message
+
+
+def extract_guardrail_ids(guardrails: list | None) -> list[str]:
+    """Extract guardrail IDs from guardrails parameter, handling both string IDs and ResponseGuardrailSpec objects."""
+    if not guardrails:
+        return []
+
+    guardrail_ids = []
+    for guardrail in guardrails:
+        if isinstance(guardrail, str):
+            guardrail_ids.append(guardrail)
+        elif isinstance(guardrail, ResponseGuardrailSpec):
+            guardrail_ids.append(guardrail.type)
+        else:
+            raise ValueError(f"Unknown guardrail format: {guardrail}, expected str or ResponseGuardrailSpec")
+
+    return guardrail_ids

tests/integration/agents/recordings/01bf932b8a65a67fef755e75e11b3b0a3dd2150681781018d1dda3aba98650b2.json

@@ -0,0 +1,59 @@
+{
+  "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_guardrails_unsafe_content[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-False]",
+  "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence\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-01bf932b8a65",
+        "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": 425,
+          "total_tokens": 427,
+          "completion_tokens_details": null,
+          "prompt_tokens_details": null
+        }
+      }
+    },
+    "is_streaming": false
+  },
+  "id_normalization_mapping": {}
+}

tests/integration/agents/recordings/02ab36ff31c11b6b9d69b884bb1b9753e850967eb2271313f15b3ad6c76d5cd3.json

@@ -0,0 +1,59 @@
+{
+  "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_guardrails_unsafe_content[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 materials, such as films, videos, television shows, literature, or games, that depict or glorify violence, aggression, or harm towards individuals or groups. This type of content can include:\n\n1\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-02ab36ff31c1",
+        "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": 429,
+          "total_tokens": 431,
+          "completion_tokens_details": null,
+          "prompt_tokens_details": null
+        }
+      }
+    },
+    "is_streaming": false
+  },
+  "id_normalization_mapping": {}
+}

tests/integration/agents/recordings/04fee8655462fb880c100f5451213e16e172176a0a6638064b5747ac18522a6e.json

@@ -0,0 +1,59 @@
+{
+  "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_guardrails_unsafe_content[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 materials, such as films, videos, television shows, literature, or games, that depict or glorify violence, aggression,\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-04fee8655462",
+        "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
+            }
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tests/integration/agents/recordings/0a4917fbf84f0492f08bdbd0025091b4b7646fd121a01c41c679e897d622257e.json

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tests/integration/agents/recordings/0bc90b6640d8ece3ddb8ac7a29b65c00276e24738ab6c8513e63ee690714a0cc.json

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+  "request": {
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+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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tests/integration/agents/recordings/0d1c21ef897d3e1d41c6bdb870e522ac4472f7f69dad342ec4c2db3561857647.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
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+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
+      "model": "llama-guard3:1b",
+      "messages": [
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+          "role": "user",
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+      ],
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+    "model": "llama-guard3:1b"
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tests/integration/agents/recordings/0dd03b164cc7d62b0219e843a6cf30c3f1e9e4381c7e76a987f36e8a236bc367.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
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+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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+          "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 materials, such as films, videos, television shows\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,
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+    },
+    "endpoint": "/v1/chat/completions",
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+    "body": {
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tests/integration/agents/recordings/0eb6f1455ae6d30bbbb242eed7f1357fb326c430721738b7b84b1a6f4376a718.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
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+    "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\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",
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tests/integration/agents/recordings/0fd21a06aa1e22dada1325d6e9f4e7ce3dd40c69ad06a9a618ac2560f3c9993f.json

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+  "request": {
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+    "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence, brutality, or the threat of violence against individuals, groups, or populations.\n\nCommon characteristics of violent content include:\n\n1. Graphic or implicit violence: Violent content may show explicit violence, such as bloodshed, mutilation, or death, or imply\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
+    },
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+    "model": "llama-guard3:1b"
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tests/integration/agents/recordings/0fdd1c67b668497800a18764cbf79bd1300f95ea616b1bb3a29240e4ba664dff.json

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+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "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: I'm an artificial intelligence model known as Llama.\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,
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+    "endpoint": "/v1/chat/completions",
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tests/integration/agents/recordings/100b10f30530c2d281fec14b3a572fdf7dc260c26606438e14883495f20b0fa2.json

@@ -0,0 +1,59 @@
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+  "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence, brutality, or the threat of violence against individuals, groups, or populations.\n\nCommon characteristics of violent content include:\n\n1. Graphic or implicit violence: Violent content may show explicit violence, such as bloodshed, mutilation,\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."
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+      ],
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+      "temperature": 0.0
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tests/integration/agents/recordings/116fad54f649a10df405f3c092c628006ab5c11c0091171be3ed492bec19cc9e.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
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+    "headers": {},
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+      ],
+      "stream": false,
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tests/integration/agents/recordings/131e58d0c222adf7513cf86fea3825857bf29e78fa22fbacb8c88ccd7d5e0451.json

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+          "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: I'm an artificial intelligence model known as Llama. Llama stands for \"\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."
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+    "endpoint": "/v1/chat/completions",
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tests/integration/agents/recordings/136c7a2f7a608e5e14e6f7b506d72bbe7d45d2d24101bef7a559cdb30eadc1ad.json

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+  "request": {
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+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
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tests/integration/agents/recordings/13f8e348585198ab00335f20d5487e9706f175c17acb004f288f2ef93ee54f67.json

@@ -0,0 +1,59 @@
+{
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tests/integration/agents/recordings/14b4b1b494ecaa5460d8044b57efa7c5b9d3fe30aa1512a1bdcd34745559047d.json

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+{
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+  "request": {
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+    "headers": {},
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tests/integration/agents/recordings/159e9958b40dcfd5367b54342e7f66c64d9bf7c0f8abcc27de4c2778844fda9c.json

@@ -0,0 +1,59 @@
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tests/integration/agents/recordings/15a3aec6df33188afe06a5b1efdddd31ec9d7afbb1ce511bb8b85e49011789a8.json

@@ -0,0 +1,59 @@
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+      "stream": false,
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tests/integration/agents/recordings/16ccbbcbf59ea486cc0392bf857597b2308cb2f1cd7d9a49eccd11d41413a21c.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+          "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence, brutality, or the threat of violence against individuals, groups, or populations.\n\nCommon characteristics of violent content include:\n\n1. Graphic or implicit violence: Violent content may show explicit violence, such as bloodshed, mutilation, or death, or imply it through suggestion\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."
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tests/integration/agents/recordings/19e495545ae18cb8036d576276e9be03ef50e65edb23af19789eac83d7f9f32f.json

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tests/integration/agents/recordings/1a5c636e837ffab7b26c0c98fa2e3f3fb35d0c1edb00d4f5b0e7b112fe606e34.json

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tests/integration/agents/recordings/1c68553ae3f01a07d2c22d4cac5f3e57290d5e633f20adb49e8346aaeb2014f6.json

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tests/integration/agents/recordings/1c711fd3707bb96b21004bd8c54fb859caef9b35ba46c1e8ded52629e239d1e9.json

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tests/integration/agents/recordings/1d80922d01c30958b2aa0974cbfca948c2d12ed008d1b9bc73d2b8f8330e88b4.json

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tests/integration/agents/recordings/1e17e2fa330014283d36f26784fda965e6094830e82b332490304ba476771807.json

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tests/integration/agents/recordings/1e6e4d3cc914541dc57a5b3e54a1aeffcb5fb7c1a29d8055dd2aa3f2eefe3fba.json

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tests/integration/agents/recordings/1e79a10a89b081e316d2821675f8b4c407b8d228dda80cbde4238037c50a9ad1.json

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tests/integration/agents/recordings/205477727d30890404a99ee4931240212a3a475cb80450bf455d23c6ea258e5c.json

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tests/integration/agents/recordings/217a4e7444bf504049d2ceae1d6ca7171d6d42fee1febefe85026830d6356cfe.json

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tests/integration/agents/recordings/222f89f27cc58410959c81ddebbff34b2b92b0053ae2694d64acd85ca330db4b.json

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tests/integration/agents/recordings/22affb6141645eca165b6bd431b06e94818db6305bc796e3dc06977e0b59b211.json

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tests/integration/agents/recordings/2375af3ea666306b9a693c440404325186fb4193710c1ae669dbea0be2182092.json

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tests/integration/agents/recordings/23e79df4e416c1d2d0227d3afd7ab06ed5e7e8153f444b585ad89c4b87df6566.json

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tests/integration/agents/recordings/25b410a9060e100a6bf5efdf9a23aca0418cd2bc0981cf11e3103bc82cba8425.json

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tests/integration/agents/recordings/2806e4743a397b372f5167045199557e4f8ae6337668f3d3f5e5e1b02677e161.json

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tests/integration/agents/recordings/2825351b31085df4d1186443422464ca27e8d1fbb3b442efcb89ed0bd56bf812.json

@@ -0,0 +1,59 @@
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tests/integration/agents/recordings/295a2ac516b4d96099a63c5e8553a59d1c75295cad3dddb3a641307316e7b576.json

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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: I'm an artificial intelligence model known as Llama. Llama stands for \"Large Language Model\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."
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tests/integration/agents/recordings/29672a19586bfb1b5226c42b9ff3bb945c834e3f7d2ffa1fed3da87ca72092c2.json

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tests/integration/agents/recordings/2a3f66739156b4fff68b43d2f700991c15b897c5293acbf3c60067dd16055a84.json

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tests/integration/agents/recordings/2a5013730936b86b2fd76564de3a35310d648076eaa29de10a0e8efa68d088cf.json

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+{
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tests/integration/agents/recordings/2ab7dcd7dc9c6992ba9a3f8c7656ce38e7c7ad004201dbf4def2426443f8883c.json

@@ -0,0 +1,59 @@
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tests/integration/agents/recordings/2ad368a9709cb3474d047e3ea39e1bcd94adeca6e9379702e4adc766576b7c30.json

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+  "request": {
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+    "headers": {},
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tests/integration/agents/recordings/2afdb8ed8f2ca3b800e78b9a83d2cc0c78f1f62322b871df6f75e06358765824.json

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tests/integration/agents/recordings/2c5e70d1e2d4c264e34716662cd9de921530b9fe6420aed14fdde7dcbcca04ae.json

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tests/integration/agents/recordings/2cc55af01a7b58ba2d6d6edd54c2772f02fd070ee761816097d61618d733516b.json

@@ -0,0 +1,59 @@
+{
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+  "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: I'm an artificial intelligence model known as Llama. Llama stands\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__": {
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+            "logprobs": null,
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+}

tests/integration/agents/recordings/2e48d86e444aeaf649fc94acfcc48bb337eb7921c95edc7a83118f51ff9f37b3.json

@@ -0,0 +1,59 @@
+{
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+  "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: I'm an artificial intelligence model known\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"
+  },
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+    "body": {
+      "__type__": "openai.types.chat.chat_completion.ChatCompletion",
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tests/integration/agents/recordings/3010ee7f2c82499fedb083a96e54b745fa01e5fb819537690de07a14d25d69ed.json

@@ -0,0 +1,59 @@
+{
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+  "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 materials, such as films, videos, television shows, literature, or games, that depict or glorify violence, aggression, or harm towards individuals or groups. This type of content can include:\n\n1. Graphic violence: Detailed and explicit descriptions or depictions of violence, such as fighting, shooting\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
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+    "endpoint": "/v1/chat/completions",
+    "model": "llama-guard3:1b"
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+}

tests/integration/agents/recordings/3188081713c612d390a71b63c11802894413cdda043e37a01f4db85588333a6b.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
+      "model": "llama-guard3:1b",
+      "messages": [
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+          "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence, brutality, or the threat of violence against individuals, groups, or populations.\n\nCommon characteristics of violent content include:\n\n1. Graphic or implicit violence: Violent content may\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."
+        }
+      ],
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+      "temperature": 0.0
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+    "endpoint": "/v1/chat/completions",
+    "model": "llama-guard3:1b"
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tests/integration/agents/recordings/35b69775c29f809bef1c8994e061c674a7ffdfbfb56581e64ecaddff01b6cb73.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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+          "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\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"
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tests/integration/agents/recordings/3688e5880531f4333ea95f732adc43291d2c5532bb7bf4c44810b1a3a33264a0.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence, brutality, or the threat of violence against individuals, groups, or populations.\n\nCommon characteristics of violent content include\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."
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+      "temperature": 0.0
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+    "endpoint": "/v1/chat/completions",
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tests/integration/agents/recordings/38392d9e0ccec92705720ce3aa66f07ae41f782ed959563b01f725a0339a0318.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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+          "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."
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+      "stream": false,
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tests/integration/agents/recordings/384a05274f63bcb15b1b0f035b73c25d9c943305591a14cb2505bfc21d5d1075.json

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+    "headers": {},
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tests/integration/agents/recordings/3bb74e529b05c6cd0969afd1035d143f335a9a69a191036080917581f915d4a3.json

@@ -0,0 +1,59 @@
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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 materials, 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."
+        }
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+      "stream": false,
+      "temperature": 0.0
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tests/integration/agents/recordings/3c3825de4b0a1b6832b2ff5d17fe932c00c7162687a4d3e610a34c8a5f99b2f3.json

@@ -0,0 +1,59 @@
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+  "request": {
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+    "headers": {},
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tests/integration/agents/recordings/3c9fbd9010272c6f5066b51555903b58f8d030f86bd3ba4d91aacb9e213b21ca.json

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+{
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tests/integration/agents/recordings/3d7ff3fef259dcbbb6a5ba66ec5a54cc687192622ef79f23906c77082640823e.json

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+{
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tests/integration/agents/recordings/3f47e63f33f29eb86f75fec943c978df1bcf7e9ec8177575c7329f2dc4964557.json

@@ -0,0 +1,59 @@
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+  "request": {
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+    "headers": {},
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tests/integration/agents/recordings/4106e99c6dc0e3bae676c4eb415052045d0f7677dab0cf34967b23e83e5ce882.json

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tests/integration/agents/recordings/425bb9c999b72f46ca0302401ea9877381a635a31cbe7345aeb6a34c41362034.json

@@ -0,0 +1,59 @@
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+    "headers": {},
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tests/integration/agents/recordings/427a1d45de5490e60cbdc78fe12825cf4e9d2d0a2c23f9a7d3c5b85d8f32a16e.json

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tests/integration/agents/recordings/4409335c53a0cc4576c4f5509ea4fcb73870eb864d239c8bd123d30921b0e8e3.json

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tests/integration/agents/recordings/4568833937981b0daae37327dbb9e64f07dad20ddbce98185e1af04def885238.json

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tests/integration/agents/recordings/46d90bd67f426effa752d1d0bef83161d00784116bb3e5b1b32d75fc46ab62de.json

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tests/integration/agents/recordings/47e76180fff77913d20570534f1a79ba8d490017855458e4f785efc3219e052a.json

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tests/integration/agents/recordings/49096c48201780548c2bb28156f9dbf2ec48e89a25adbe5c646727363344903f.json

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tests/integration/agents/recordings/4a5647ecb074af08795167d8b99a9ab7ebdb989a7571c8cada9fc2eb4fc1042d.json

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tests/integration/agents/recordings/4a85908aa4cd4a8a1ded4cab2fab74505d8405ce53a163b46915ee0bf70d2c37.json

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tests/integration/agents/recordings/4b1c68e2659b76ae76ed79ae7bb36049bb537830b03397322ed08c9cb4785634.json

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tests/integration/agents/recordings/4ca967684e3ebdfd2a4cfacda63d2964e27d350c045173319d3fbc6f86c07627.json

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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 materials, such as films, videos, television shows, literature, or games, that depict or glorify violence, aggression, or harm towards individuals or groups. This type of content can include:\n\n1. Graphic violence: Detailed and explicit descriptions or dep\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."
+        }
+      ],
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tests/integration/agents/recordings/5217a8c6b79f0cb6d6638e2d06193bcc40f30444ef91125093681691d987bc35.json

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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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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 media, such as films, television shows, video games, and literature, that\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
+    },
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tests/integration/agents/recordings/524c5f124854cf89a042e7e4dab32e873b3681f858fb103cdefbe34bb554b027.json

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+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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+          "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 materials, such as films, videos, television shows, literature, or games, that depict or glorify\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."
+        }
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+      "stream": false,
+      "temperature": 0.0
+    },
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+    "model": "llama-guard3:1b"
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+    "body": {
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tests/integration/agents/recordings/53c58c29ecc5e74264448e06b41e29b5c34c18f615f0678c5c36ed7363be142e.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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+          "role": "user",
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+        }
+      ],
+      "stream": false,
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tests/integration/agents/recordings/57689b52587daa89a33f1e7c5bb76f69fb61792423211aef2c9a0810bafd5297.json

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+  "request": {
+    "method": "POST",
+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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+          "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 materials, such as films, videos, television shows, literature, or games, that depict or glorify violence, aggression, or harm towards individuals or groups. This type of content can include:\n\n1.\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
+    },
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tests/integration/agents/recordings/58040e156afa7841d05745dc5bd6d120d0529e242ed24b98aaec9de2868808c8.json

@@ -0,0 +1,59 @@
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+  "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, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict.\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."
+        }
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+      "stream": false,
+      "temperature": 0.0
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+    "endpoint": "/v1/chat/completions",
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tests/integration/agents/recordings/587645b61fdcab43c278bc9b9dd9b2effc1d1d486667132652ca8f273ec0b3c5.json

@@ -0,0 +1,59 @@
+{
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+  "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: I'm an artificial intelligence model known as Llama. Llama stands\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",
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tests/integration/agents/recordings/595b6ca2fb280162159d2ce9d7e8cbc8dc2206cfc3eae57db563bf7f3f93f9c1.json

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+  "request": {
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+    "headers": {},
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tests/integration/agents/recordings/597a7eab1d38ffb143ff5da1b6d20a5fabbf84fc35939dad3024447a8c10af78.json

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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 media, such as films, television shows, video games, and literature, that depict graphic violence, gore, or intensity of conflict. This type of content often includes scenes of violence, brutality, or the threat of violence against individuals, groups, or populations.\n\nCommon characteristics of violent content include:\n\n1. Graphic or implicit violence: Violent content may show explicit violence, such as bloodshed, mutilation, or death, or imply it through\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."
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+      "stream": false,
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tests/integration/agents/recordings/59861219229682235b0897ede7dd2f20fa674794b90e9fbad27cd35189525929.json

@@ -0,0 +1,59 @@
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+    "headers": {},
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tests/integration/agents/recordings/5a9cb7b526486933d880acd19bf9b15c10e8e80be3926d90b42af729411b7d39.json

@@ -0,0 +1,59 @@
+{
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tests/integration/agents/recordings/5aa7354a03cea3179535e82597b49b2c72136afbe13ec4420d6e963bd15e6afd.json

@@ -0,0 +1,59 @@
+{
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+    "headers": {},
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tests/integration/agents/recordings/5b058cf2221fcbd97162987ac15e498a95be861954863bf1ea26b8f9ee6bcb7e.json

@@ -0,0 +1,59 @@
+{
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+  "request": {
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+    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
+    "headers": {},
+    "body": {
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+      "messages": [
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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: I'm an artificial intelligence model known as L\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."
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+      "stream": false,
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tests/integration/agents/recordings/5b75907ae5598e7701552ae4510ff5f77f52db04bb592a2f0ce560f5aaaf2ff0.json

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+    "headers": {},
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tests/integration/agents/recordings/5c01b14de59f079fa01f80f29e831e0ed530983c6d7cb9d69ab2349b48aebda9.json

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tests/integration/agents/recordings/5c7817d43543c59709edbada9ca885aa79acb2145f3fbc93ec2f5656b5e94629.json

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tests/integration/agents/recordings/5cb19214493752f47d30564e5fe0b22ea3c256a5fcb587c51a3d17f2265c2209.json

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+        {
+          "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 materials, such as films, videos, television shows, literature, or games, that depict or glorify violence, aggression, or harm towards individuals or groups. This type of content can include:\n\n1. Graphic violence: Detailed and explicit descriptions or depictions of violence, such as fighting\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-5cb192144937",
+        "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": 446,
+          "total_tokens": 448,
+          "completion_tokens_details": null,
+          "prompt_tokens_details": null
+        }
+      }
+    },
+    "is_streaming": false
+  },
+  "id_normalization_mapping": {}
+}

tests/integration/agents/recordings/5cc64f10fc39144fc74224249cffb425eb549d747172e4b919cea69c3f30e9f4.json

@@ -0,0 +1,59 @@
+{
+  "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_guardrails_safe_content[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-False]",
+  "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: I'm an artificial intelligence model known as Llama. Llama stands for \"Large Language Model Meta AI.\"\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-5cc64f10fc39",
+        "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": 405,
+          "total_tokens": 407,
+          "completion_tokens_details": null,
+          "prompt_tokens_details": null
+        }
+      }
+    },
+    "is_streaming": false
+  },
+  "id_normalization_mapping": {}
+}