chore: fix dograh v2 speed option

api/routes/organization.py

@@ -17,7 +17,10 @@ from api.enums import OrganizationConfigurationKey, PostHogEvent
 from api.schemas.ai_model_configuration import (
     DOGRAH_DEFAULT_LANGUAGE,
     DOGRAH_DEFAULT_VOICE,
+    DOGRAH_SPEED_MAX,
+    DOGRAH_SPEED_MIN,
     DOGRAH_SPEED_OPTIONS,
+    DOGRAH_SPEED_STEP,
     OrganizationAIModelConfigurationResponse,
     OrganizationAIModelConfigurationV2,
 )
@@ -265,6 +268,11 @@ async def get_model_configuration_v2_defaults(
             "voices": [DOGRAH_DEFAULT_VOICE],
             "allow_custom_input": _dograh_allows_custom_voice(),
             "speeds": list(DOGRAH_SPEED_OPTIONS),
+            "speed_range": {
+                "min": DOGRAH_SPEED_MIN,
+                "max": DOGRAH_SPEED_MAX,
+                "step": DOGRAH_SPEED_STEP,
+            },
             "languages": DOGRAH_STT_LANGUAGES,
             "defaults": {
                 "voice": DOGRAH_DEFAULT_VOICE,

api/schemas/ai_model_configuration.py

@@ -18,6 +18,9 @@ from api.services.configuration.registry import (
     TTSConfig,
 )
 
+DOGRAH_SPEED_MIN = 0.5
+DOGRAH_SPEED_MAX = 2.0
+DOGRAH_SPEED_STEP = 0.1
 DOGRAH_SPEED_OPTIONS: tuple[float, ...] = (0.8, 1.0, 1.2)
 DOGRAH_DEFAULT_VOICE = "default"
 DOGRAH_DEFAULT_LANGUAGE = "multi"
@@ -49,16 +52,9 @@ class EffectiveAIModelConfiguration(BaseModel):
 class DograhManagedAIModelConfiguration(BaseModel):
     api_key: str
     voice: str = DOGRAH_DEFAULT_VOICE
-    speed: float = Field(default=1.0)
+    speed: float = Field(default=1.0, ge=DOGRAH_SPEED_MIN, le=DOGRAH_SPEED_MAX)
     language: str = DOGRAH_DEFAULT_LANGUAGE
 
-    @model_validator(mode="after")
-    def validate_speed(self):
-        if self.speed not in DOGRAH_SPEED_OPTIONS:
-            allowed = ", ".join(str(speed) for speed in DOGRAH_SPEED_OPTIONS)
-            raise ValueError(f"Dograh speed must be one of: {allowed}")
-        return self
-
 
 class BYOKPipelineAIModelConfiguration(BaseModel):
     llm: LLMConfig

api/services/configuration/ai_model_configuration.py

@@ -16,7 +16,8 @@ from api.enums import OrganizationConfigurationKey
 from api.schemas.ai_model_configuration import (
     DOGRAH_DEFAULT_LANGUAGE,
     DOGRAH_DEFAULT_VOICE,
-    DOGRAH_SPEED_OPTIONS,
+    DOGRAH_SPEED_MAX,
+    DOGRAH_SPEED_MIN,
     BYOKAIModelConfiguration,
     BYOKPipelineAIModelConfiguration,
     BYOKRealtimeAIModelConfiguration,
@@ -436,7 +437,11 @@ def _convert_any_dograh_legacy_configuration(
     dograh_key: str,
 ) -> OrganizationAIModelConfigurationV2:
     speed = getattr(configuration.tts, "speed", 1.0)
-    if speed not in DOGRAH_SPEED_OPTIONS:
+    try:
+        speed = float(speed)
+    except (TypeError, ValueError):
+        speed = 1.0
+    if not DOGRAH_SPEED_MIN <= speed <= DOGRAH_SPEED_MAX:
         speed = 1.0
     return OrganizationAIModelConfigurationV2(
         mode="dograh",

api/tests/test_ai_model_configuration_v2.py

@@ -59,13 +59,27 @@ def test_dograh_v2_compiles_to_effective_managed_pipeline_with_embeddings():
     assert effective.managed_service_version == 2
 
 
-def test_dograh_v2_rejects_non_predefined_speed():
+def test_dograh_v2_accepts_numeric_speed_in_registry_range():
+    config = OrganizationAIModelConfigurationV2(
+        mode="dograh",
+        dograh=DograhManagedAIModelConfiguration(
+            api_key="mps-secret",
+            speed=1.5,
+        ),
+    )
+
+    effective = compile_ai_model_configuration_v2(config)
+
+    assert effective.tts.speed == 1.5
+
+
+def test_dograh_v2_rejects_out_of_range_speed():
     with pytest.raises(ValidationError):
         OrganizationAIModelConfigurationV2(
             mode="dograh",
             dograh=DograhManagedAIModelConfiguration(
                 api_key="mps-secret",
-                speed=1.5,
+                speed=2.5,
             ),
         )
 
@@ -238,6 +252,33 @@ def test_legacy_all_dograh_pipeline_converts_to_dograh_v2():
     assert config.dograh.api_key == "mps-secret"
 
 
+def test_legacy_dograh_pipeline_conversion_preserves_numeric_speed():
+    legacy = EffectiveAIModelConfiguration(
+        llm=DograhLLMService(
+            provider="dograh",
+            api_key=["mps-secret"],
+            model="default",
+        ),
+        tts=DograhTTSService(
+            provider="dograh",
+            api_key=["mps-secret"],
+            model="default",
+            voice="default",
+            speed=1.5,
+        ),
+        stt=DograhSTTService(
+            provider="dograh",
+            api_key=["mps-secret"],
+            model="default",
+        ),
+    )
+
+    config = convert_legacy_ai_model_configuration_to_v2(legacy)
+
+    assert config.mode == "dograh"
+    assert config.dograh.speed == 1.5
+
+
 def test_legacy_mixed_dograh_pipeline_converts_to_dograh_v2():
     legacy = EffectiveAIModelConfiguration(
         llm=OpenAILLMService(