Anton
052591281d
- Complete agent system with planning and execution - Bridge API with FastAPI server - WhatsApp-style mobile dashboard - Enhanced web search with query improvement - Security guards and policy checks - Comprehensive documentation
32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
"""Bridge configuration — read from env, fall back to defaults."""
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from __future__ import annotations
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import os
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from pathlib import Path
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# Directory where per-run state and audit logs are stored
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RUNS_DIR: Path = Path(__file__).parent / "runs"
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# OpenAI settings
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OPENAI_API_KEY: str = os.environ.get("OPENAI_API_KEY", "")
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OPENAI_MODEL: str = os.environ.get("OPENAI_MODEL", "gpt-4o-mini")
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# Ollama settings
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OLLAMA_HOST: str = os.environ.get("OLLAMA_HOST", "http://localhost:11434")
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OLLAMA_MODEL: str = os.environ.get("OLLAMA_MODEL", "qwen2.5:7b") # legacy alias
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OLLAMA_FALLBACK_MODEL: str = "llama3.2:3b"
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# Model routing — set independently via env vars
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# DECISION_MODEL: used by controller decision loop (structured JSON output)
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# CHAT_MODEL: used by user-facing chat replies (natural language)
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DECISION_MODEL: str = os.environ.get("DECISION_MODEL", OLLAMA_MODEL)
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CHAT_MODEL: str = os.environ.get("CHAT_MODEL", "llama3.2:3b")
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# Chat generation settings (tuned for low latency + short replies)
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CHAT_MAX_TOKENS: int = int(os.environ.get("CHAT_MAX_TOKENS", "150"))
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CHAT_TEMPERATURE: float = float(os.environ.get("CHAT_TEMPERATURE", "0.3"))
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# Server settings
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HOST: str = os.environ.get("BRIDGE_HOST", "0.0.0.0")
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PORT: int = int(os.environ.get("BRIDGE_PORT", "8000"))
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