Respect GPT_PROVIDER env var for text generation

- Add GPT_PROVIDER wavespeed/openai support in main_text_generation.py
- wavespeed_text_response now called when GPT_PROVIDER=wavespeed
- Fallback to tenant config when no GPT_PROVIDER set
- Add wavespeed provider mapping in provider_enum
- Fix generate_image() call to use options dict in podcast analysis

backend/services/llm_providers/main_text_generation.py

@@ -92,19 +92,38 @@ def llm_text_gen(
         # Determine provider based on env vars or tenant config
         if provider_list:
             primary_provider = provider_list[0]
-            if primary_provider in ['gemini', 'google']:
+            if primary_provider in ['wavespeed', 'wave']:
+                gpt_provider = "wavespeed"
+                model = os.getenv('WAVESPEED_TEXT_MODEL', 'Qwen/Qwen2.5-7B-Instruct')
+            elif primary_provider in ['gemini', 'google']:
                 gpt_provider = "google"
                 model = "gemini-2.0-flash-001"
             elif primary_provider in ['hf_response_api', 'huggingface', 'hf']:
                 gpt_provider = "huggingface"
                 model = "openai/gpt-oss-120b:cerebras"
+            elif primary_provider in ['openai', 'gpt']:
+                gpt_provider = "openai"
+                model = os.getenv('OPENAI_MODEL', 'gpt-4o-mini')
+            else:
+                logger.warning(f"[llm_text_gen] Unknown GPT_PROVIDER: {primary_provider}, using auto-select")
+                gpt_provider = None
+                model = None
         elif preferred_provider:
-            if preferred_provider in ['gemini', 'google']:
+            if preferred_provider in ['wavespeed', 'wave']:
+                gpt_provider = "wavespeed"
+                model = os.getenv('WAVESPEED_TEXT_MODEL', 'Qwen/Qwen2.5-7B-Instruct')
+            elif preferred_provider in ['openai', 'gpt']:
+                gpt_provider = "openai"
+                model = os.getenv('OPENAI_MODEL', 'gpt-4o-mini')
+            elif preferred_provider in ['gemini', 'google']:
                 gpt_provider = "google"
                 model = "gemini-2.0-flash-001"
             elif preferred_provider in ['hf_response_api', 'huggingface', 'hf']:
                 gpt_provider = "huggingface"
                 model = "openai/gpt-oss-120b:cerebras"
+            else:
+                gpt_provider = None
+                model = None
         else:
             # Fall back to tenant config
             provider_cfg = tenant_provider_config_resolver.resolve(
@@ -190,9 +209,16 @@ def llm_text_gen(
         elif gpt_provider == "huggingface":
             provider_enum = APIProvider.MISTRAL  # HuggingFace maps to Mistral enum for usage tracking
             actual_provider_name = "huggingface"  # Keep actual provider name for logs
+        elif gpt_provider == "wavespeed":
+            provider_enum = APIProvider.OPENAI  # Map to OpenAI for tracking purposes
+            actual_provider_name = "wavespeed"
+        elif gpt_provider == "openai":
+            provider_enum = APIProvider.OPENAI
+            actual_provider_name = "openai"
         
         if not provider_enum:
-            raise RuntimeError(f"Unknown provider {gpt_provider} for subscription checking")
+            # For unknown providers, try to proceed without subscription tracking
+            logger.warning(f"[llm_text_gen] Unknown provider {gpt_provider}, proceeding without subscription check")
 
         # SUBSCRIPTION CHECK - Required and strict enforcement
         if not user_id:
@@ -332,9 +358,19 @@ def llm_text_gen(
                         top_p=top_p,
                         system_prompt=system_instructions
                     )
+            elif gpt_provider == "wavespeed":
+                from services.llm_providers.wavespeed_provider import wavespeed_text_response
+                response_text = wavespeed_text_response(
+                    prompt=prompt,
+                    model=model or "Qwen/Qwen2.5-7B-Instruct",
+                    temperature=temperature,
+                    max_tokens=max_tokens,
+                    top_p=top_p,
+                    system_prompt=system_instructions
+                )
             else:
                 logger.error(f"[llm_text_gen] Unknown provider: {gpt_provider}")
-                raise RuntimeError("Unknown LLM provider. Supported providers: google, huggingface")
+                raise RuntimeError(f"Unknown LLM provider: {gpt_provider}. Supported providers: google, huggingface, wavespeed")
             
             # TRACK USAGE after successful API call
             if response_text: