Add missing step 3 comment to LLM service init methods

Adds the explicit "no params object" step 3 comment to all
LLM services that skip from step 2 to step 4 in their
settings initialization sequence, matching the pattern
established in services that do have a params object.

src/pipecat/services/azure/llm.py

@@ -64,6 +64,8 @@ class AzureLLMService(OpenAILLMService):
             _warn_deprecated_param("model", AzureLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/cerebras/llm.py

@@ -64,6 +64,8 @@ class CerebrasLLMService(OpenAILLMService):
             _warn_deprecated_param("model", CerebrasLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/deepseek/llm.py

@@ -64,6 +64,8 @@ class DeepSeekLLMService(OpenAILLMService):
             _warn_deprecated_param("model", DeepSeekLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/fireworks/llm.py

@@ -64,6 +64,8 @@ class FireworksLLMService(OpenAILLMService):
             _warn_deprecated_param("model", FireworksLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/google/llm_openai.py

@@ -102,6 +102,8 @@ class GoogleLLMOpenAIBetaService(OpenAILLMService):
             _warn_deprecated_param("model", GoogleOpenAILLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/grok/llm.py

@@ -119,6 +119,8 @@ class GrokLLMService(OpenAILLMService):
             _warn_deprecated_param("model", GrokLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/groq/llm.py

@@ -63,6 +63,8 @@ class GroqLLMService(OpenAILLMService):
             _warn_deprecated_param("model", GroqLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/mistral/llm.py

@@ -66,6 +66,8 @@ class MistralLLMService(OpenAILLMService):
             _warn_deprecated_param("model", MistralLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/nvidia/llm.py

@@ -70,6 +70,8 @@ class NvidiaLLMService(OpenAILLMService):
             _warn_deprecated_param("model", NvidiaLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/ollama/llm.py

@@ -62,6 +62,8 @@ class OLLamaLLMService(OpenAILLMService):
             _warn_deprecated_param("model", OllamaLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/openpipe/llm.py

@@ -82,6 +82,8 @@ class OpenPipeLLMService(OpenAILLMService):
             _warn_deprecated_param("model", OpenPipeLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/openrouter/llm.py

@@ -68,6 +68,8 @@ class OpenRouterLLMService(OpenAILLMService):
             _warn_deprecated_param("model", OpenRouterLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/perplexity/llm.py

@@ -71,6 +71,8 @@ class PerplexityLLMService(OpenAILLMService):
             _warn_deprecated_param("model", PerplexityLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/qwen/llm.py

@@ -63,6 +63,8 @@ class QwenLLMService(OpenAILLMService):
             _warn_deprecated_param("model", QwenLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/sambanova/llm.py

@@ -75,6 +75,8 @@ class SambaNovaLLMService(OpenAILLMService):  # type: ignore
             _warn_deprecated_param("model", SambaNovaLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)

src/pipecat/services/together/llm.py

@@ -63,6 +63,8 @@ class TogetherLLMService(OpenAILLMService):
             _warn_deprecated_param("model", TogetherLLMSettings, "model")
             default_settings.model = model
 
+        # 3. (No step 3, as there's no params object to apply)
+
         # 4. Apply settings delta (canonical API, always wins)
         if settings is not None:
             default_settings.apply_update(settings)