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feat: enhance billing dashboard with historical data & security hardening

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- Fix usage tracking zero-value bug with self-healing logic
- Add month selector for historical usage views
- Implement start-of-month graceful initialization
- Merge PR #372: Harden user-scoped access in subscription routes
- Fix UI bugs in UsageDashboard component
This commit is contained in:
ajaysi
2026-03-05 10:21:56 +05:30
parent 261c224dca
commit 26131232c7
8 changed files with 234 additions and 161 deletions
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12
backend/services/llm_providers/main_text_generation.py
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@@ -54,7 +54,7 @@ def llm_text_gen(prompt: str, system_prompt: Optional[str] = None, json_struct:
model = "gemini-2.0-flash-001"
elif env_provider in ['hf_response_api', 'huggingface', 'hf']:
gpt_provider = "huggingface"
model = "openai/gpt-oss-120b:groq"
model = "mistralai/Mistral-7B-Instruct-v0.3"
# Default blog characteristics
blog_tone = "Professional"
@@ -80,7 +80,7 @@ def llm_text_gen(prompt: str, system_prompt: Optional[str] = None, json_struct:
model = "gemini-2.0-flash-001"
elif "huggingface" in available_providers:
gpt_provider = "huggingface"
model = "openai/gpt-oss-120b:groq"
model = "mistralai/Mistral-7B-Instruct-v0.3"
else:
logger.error("[llm_text_gen] No API keys found for supported providers.")
raise RuntimeError("No LLM API keys configured. Configure GEMINI_API_KEY or HF_TOKEN to enable AI responses.")
@@ -93,7 +93,7 @@ def llm_text_gen(prompt: str, system_prompt: Optional[str] = None, json_struct:
model = "gemini-2.0-flash-001"
elif "huggingface" in available_providers:
gpt_provider = "huggingface"
model = "openai/gpt-oss-120b:groq"
model = "mistralai/Mistral-7B-Instruct-v0.3"
else:
raise RuntimeError("No supported providers available.")
@@ -303,7 +303,7 @@ def llm_text_gen(prompt: str, system_prompt: Optional[str] = None, json_struct:
elif fallback_provider == "huggingface":
provider_enum = APIProvider.MISTRAL
actual_provider_name = "huggingface"
fallback_model = "openai/gpt-oss-120b:groq"
fallback_model = "mistralai/Mistral-7B-Instruct-v0.3"
if fallback_provider == "google":
if json_struct:
@@ -330,7 +330,7 @@ def llm_text_gen(prompt: str, system_prompt: Optional[str] = None, json_struct:
response_text = huggingface_structured_json_response(
prompt=prompt,
schema=json_struct,
model="openai/gpt-oss-120b:groq",
model="mistralai/Mistral-7B-Instruct-v0.3",
temperature=temperature,
max_tokens=max_tokens,
system_prompt=system_instructions
@@ -338,7 +338,7 @@ def llm_text_gen(prompt: str, system_prompt: Optional[str] = None, json_struct:
else:
response_text = huggingface_text_response(
prompt=prompt,
model="openai/gpt-oss-120b:groq",
model="mistralai/Mistral-7B-Instruct-v0.3",
temperature=temperature,
max_tokens=max_tokens,
top_p=top_p,