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https://github.com/Memo-2023/mana-monorepo.git
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1495dbe476
Python/FastAPI service providing unified OpenAI-compatible API for Ollama and cloud LLM providers (OpenRouter, Groq, Together). Features: - Chat completions with streaming (SSE) - Vision/multimodal support - Embeddings generation - Multi-provider routing (provider/model format) - Prometheus metrics - Optional Redis caching
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
"""Configuration settings for mana-llm service."""
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from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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# Service
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port: int = 3025
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log_level: str = "info"
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# Ollama (Primary provider)
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ollama_url: str = "http://localhost:11434"
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ollama_default_model: str = "gemma3:4b"
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ollama_timeout: int = 120
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# OpenRouter (Cloud fallback)
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openrouter_api_key: str | None = None
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openrouter_base_url: str = "https://openrouter.ai/api/v1"
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openrouter_default_model: str = "meta-llama/llama-3.1-8b-instruct"
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# Groq (Optional)
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groq_api_key: str | None = None
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groq_base_url: str = "https://api.groq.com/openai/v1"
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# Together (Optional)
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together_api_key: str | None = None
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together_base_url: str = "https://api.together.xyz/v1"
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# Caching (Optional)
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redis_url: str | None = None
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cache_ttl: int = 3600
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# CORS
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cors_origins: str = "http://localhost:5173,https://mana.how"
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@property
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def cors_origins_list(self) -> list[str]:
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"""Parse CORS origins from comma-separated string."""
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return [origin.strip() for origin in self.cors_origins.split(",")]
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class Config:
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env_file = ".env"
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env_file_encoding = "utf-8"
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settings = Settings()
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