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