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e9b3659 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | from pydantic_settings import BaseSettings
from functools import lru_cache
class Settings(BaseSettings):
# ── LLM Provider ──────────────────────────────────────────────────────────
# Set LLM_PROVIDER to "gemini" or "groq" in your .env file.
# Groq is free and has no strict daily quota — recommended when Gemini
# free-tier is exhausted.
llm_provider: str = "groq"
# ── Gemini settings ───────────────────────────────────────────────────────
gemini_api_key: str = ""
llm_model: str = "llama-3.3-70b-versatile" # overridden per provider below
embedding_model: str = "models/gemini-embedding-001"
# ── Groq settings ─────────────────────────────────────────────────────────
groq_api_key: str = ""
groq_model: str = "llama-3.3-70b-versatile" # free, 6k tokens/min on Groq
# ── RAG / Vector DB ───────────────────────────────────────────────────────
vector_db_path: str = "./vector_db"
chunk_size: int = 1200
chunk_overlap: int = 100
# ── MCP ───────────────────────────────────────────────────────────────────
mcp_server_url: str = "http://localhost:3333"
github_mcp_url: str = "https://api.githubcopilot.com/mcp/"
github_mcp_token: str = ""
# ── Loader ────────────────────────────────────────────────────────────────
allowed_extensions: list[str] = [".py", ".js", ".ts", ".go", ".java", ".md"]
max_file_size_kb: int = 1042
class Config:
env_file = ".env"
@lru_cache()
def get_settings() -> Settings:
return Settings()
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