fix(guardrails): Align inline validator types

backend/app/models/llm/request.py

@@ -477,10 +477,12 @@ class Validator(SQLModel):
 
 
 class InlineValidatorTypeEnum(str, Enum):
+    """Validator types productised for tenants; mirrors GET /guardrails."""
+
     GENDER_ASSUMPTION_BIAS = "gender_assumption_bias"
     PII_REMOVER = "pii_remover"
-    PROFANITY_FREE = "profanity_free"
     TOPIC_RELEVANCE_LLM = "topic_relevance_llm"
+    ULI_SLUR_MATCH = "uli_slur_match"
 
 
 class InlineValidator(SQLModel):

backend/app/services/llm/guardrails.py

@@ -11,7 +11,7 @@
 from opentelemetry import trace
 
 from app.core.config import settings
-from app.models.llm.request import InlineValidator, Validator
+from app.models.llm.request import InlineValidator, InlineValidatorTypeEnum, Validator
 
 logger = logging.getLogger(__name__)
 tracer = trace.get_tracer(__name__)
@@ -25,7 +25,7 @@
 
 # Upstream supports more; only these are productised for tenants.
 EXPOSED_VALIDATOR_TYPES = frozenset(
-    {"topic_relevance_llm", "uli_slur_match", "gender_assumption_bias", "pii_remover"}
+    validator_type.value for validator_type in InlineValidatorTypeEnum
 )
 
 

backend/app/tests/services/llm/test_guardrails.py

@@ -474,7 +474,7 @@ def test_disabled_entries_are_neither_fetched_nor_posted(
             [
                 disabled_ref,
                 enabled_ref,
-                InlineValidator(type="profanity_free", is_enabled=False),
+                InlineValidator(type="uli_slur_match", is_enabled=False),
             ]
         )
 

docs/wiki/modules/llm-call.md

@@ -27,7 +27,7 @@ All paths relative to `backend/app/`.
 
 ## Key pydantic/SQLModel schemas (`models/llm/request.py`)
 - `LLMCallConfig` — one-of: saved reference (`id` + `version`) XOR ad-hoc `blob` (validator-enforced)
-- `ConfigBlob` — `completion` + optional `prompt_template` (`PromptTemplate.template`, plain string; `{{input}}` interpolation is llm-chain-only) + `input_guardrails`/`output_guardrails`. Each guardrail entry is either a `Validator` reference (`{validator_config_id}`) or an `InlineValidator` spec (`{type, on_fail, ...per-type params}`, `type` limited to `InlineValidatorTypeEnum`: gender_assumption_bias, pii_remover, profanity_free, topic_relevance_llm); tagged union `GuardrailEntry`. Both carry `is_enabled` (default true). Disabled entries are never fetched or sent. `services/llm/guardrails.apply_guardrails` POSTs fetched reference rows plus inline specs (a blob is all-refs or all-inline), with `is_enabled` stripped and `stage` stamped on inline specs.
+- `ConfigBlob` — `completion` + optional `prompt_template` (`PromptTemplate.template`, plain string; `{{input}}` interpolation is llm-chain-only) + `input_guardrails`/`output_guardrails`. Each guardrail entry is either a `Validator` reference (`{validator_config_id}`) or an `InlineValidator` spec (`{type, on_fail, ...per-type params}`, `type` limited to `InlineValidatorTypeEnum`: gender_assumption_bias, pii_remover, topic_relevance_llm, uli_slur_match — same set as `EXPOSED_VALIDATOR_TYPES`); tagged union `GuardrailEntry`. Both carry `is_enabled` (default true). Disabled entries are never fetched or sent. `services/llm/guardrails.apply_guardrails` POSTs fetched reference rows plus inline specs (a blob is all-refs or all-inline), with `is_enabled` stripped and `stage` stamped on inline specs.
 - `CompletionConfig` — discriminated union on `provider`: `KaapiCompletionConfig` (standardized params: `TextLLMParams`/`STTLLMParams`/`TTSLLMParams`), `NativeCompletionConfig` (pass-through), `ProxyCompletionConfig` (client's own endpoint)
 - `TextLLMParams` reasoning knobs: `reasoning` + `effort` (OpenAI-style), `thinking` (Anthropic adaptive-thinking container, forwarded as-is) and `thinking_level` (Gemini). A knob must be **declared here** to survive config save — pydantic's default extra policy is ignore, so an undeclared key is dropped silently at validation with no error.
 - `QueryParams` — per-call input + `ConversationConfig`