feat: add llm models in Dograh (#64)

api/routes/public_embed.py

@@ -93,8 +93,11 @@ def validate_origin(origin: str, allowed_domains: list) -> bool:
             # Check both www and non-www versions
             allowed_variants = normalize_www(allowed)
             # If any variant of domain matches any variant of allowed, it's valid
-            if any(dv in allowed_variants or av in domain_variants
-                   for dv in domain_variants for av in allowed_variants):
+            if any(
+                dv in allowed_variants or av in domain_variants
+                for dv in domain_variants
+                for av in allowed_variants
+            ):
                 return True
 
     return False

api/services/configuration/registry.py

@@ -157,8 +157,11 @@ class AzureLLMService(BaseLLMConfiguration):
 # Dograh LLM Service
 class DograhLLMModel(str, Enum):
     DEFAULT = "default"
-    FAST = "fast"
     ACCURATE = "accurate"
+    FAST = "fast"
+    LITE = "lite"
+    ZEN = "zen"
+    ZEN_LITE = "zen_lite"
 
 
 @register_llm

api/services/pipecat/service_factory.py

@@ -26,9 +26,7 @@ def create_stt_service(user_config):
     """Create and return appropriate STT service based on user configuration"""
     if user_config.stt.provider == ServiceProviders.DEEPGRAM.value:
         live_options = LiveOptions(
-            language="multi",
-            profanity_filter=False,
-            endpointing=100
+            language="multi", profanity_filter=False, endpointing=100
         )
         return DeepgramSTTService(
             live_options=live_options,

pipecat

@@ -1 +1 @@
-Subproject commit 53653657d851e8052f9cc5b73b6f675a44c86fe7
+Subproject commit 34a4e018214ca4df46be7fda90872333f6e074e9