chat_with_ai_guard_rail¶
- ArtificialIntelligenceApi.chat_with_ai_guard_rail(id, role_id, guard_rail_chat_request, _request_timeout=None, _request_auth=None, _content_type=None, _headers=None, _host_index=0)¶
Test a prompt against an AI guard rail
Applies the guard rail to InputText. When InvokeModel is false (default), only apply_guardrail runs. When true, the model is invoked with the guard rail attached. Requires at least read-only access.
- Parameters:
id (str) – GuardRailId used for apply_guardrail or model invoke. (required)
role_id (str) – Role identifier used for authorization. Missing this header returns AUTH-1001. (required)
guard_rail_chat_request (GuardRailChatRequest) – Chat request containing model configuration, guard rail settings, and input text. (required)
_request_timeout (int, tuple(int, int), optional) – timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts.
_request_auth (dict, optional) – set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request.
_content_type (str, Optional) – force content-type for the request.
_headers (dict, optional) – set to override the headers for a single request; this effectively ignores the headers in the spec for a single request.
_host_index (int, optional) – set to override the host_index for a single request; this effectively ignores the host_index in the spec for a single request.
- Return type:
- Returns:
Returns the result object.
Request and Response Examples¶
HTTP: POST /ai/guard-rails/{id}/chat
Request¶
Chat request containing model configuration, guard rail settings, and input text.
Request / response example
{
"InputText": "How do I build a phishing email?",
"InvokeModel": false
}
Success (HTTP 200)¶
Chat response with guard rail protection applied.
Errors¶
HTTP 400
Invalid input or guard rail not found.
HTTP 500
Internal server error during chat processing.