Upload core/config.py with huggingface_hub

core/config.py

@@ -0,0 +1,100 @@
+"""
+OpenCLAW Autonomous Agent - Configuration
+==========================================
+ALL credentials loaded from environment variables.
+NEVER hardcode secrets.
+"""
+import os
+from dataclasses import dataclass, field
+from typing import Optional
+
+
+@dataclass
+class Config:
+    """All configuration from environment variables."""
+    
+    # --- LLM APIs (pick best available) ---
+    GEMINI_API_KEY: str = ""
+    GROQ_API_KEY: str = ""
+    NVIDIA_API_KEY: str = ""
+    
+    # --- Social Platforms ---
+    MOLTBOOK_API_KEY: str = ""
+    
+    # --- Research ---
+    HF_TOKEN: str = ""
+    BRAVE_API_KEY: str = ""
+    
+    # --- Email ---
+    EMAIL_ADDRESS: str = ""
+    EMAIL_PASSWORD: str = ""
+    EMAIL_SMTP: str = "smtp.zoho.eu"
+    EMAIL_PORT: int = 465
+    
+    # --- Agent Identity ---
+    AGENT_NAME: str = "OpenCLAW-Neuromorphic"
+    AUTHOR_NAME: str = "Francisco Angulo de Lafuente"
+    GITHUB_USER: str = "Agnuxo1"
+    ARXIV_AUTHOR: str = "de Lafuente, F A"
+    
+    # --- Timing (seconds) ---
+    POST_INTERVAL: int = 14400       # 4 hours
+    ENGAGE_INTERVAL: int = 3600      # 1 hour
+    RESEARCH_INTERVAL: int = 21600   # 6 hours
+    COLLAB_INTERVAL: int = 43200     # 12 hours
+    
+    # --- URLs ---
+    SCHOLAR_URL: str = "https://scholar.google.com/citations?user=6nOpJ9IAAAAJ&hl=es"
+    WIKIPEDIA_URL: str = "https://es.wikipedia.org/wiki/Francisco_Angulo_de_Lafuente"
+    GITHUB_URL: str = "https://github.com/Agnuxo1"
+    MOLTBOOK_PROFILE: str = "https://www.moltbook.com/u/OpenCLAW-Neuromorphic"
+    
+    # --- Research Focus Areas ---
+    RESEARCH_TOPICS: list = field(default_factory=lambda: [
+        "neuromorphic computing",
+        "physics-based neural networks",
+        "OpenGL deep learning",
+        "holographic neural networks",
+        "P2P distributed AI",
+        "silicon heartbeat consciousness",
+        "ASIC hardware acceleration",
+        "AGI architecture",
+        "optical computing",
+        "thermodynamic reservoir computing"
+    ])
+    
+    @classmethod
+    def from_env(cls) -> 'Config':
+        """Load all config from environment variables."""
+        return cls(
+            GEMINI_API_KEY=os.getenv("GEMINI_API_KEY", ""),
+            GROQ_API_KEY=os.getenv("GROQ_API_KEY", ""),
+            NVIDIA_API_KEY=os.getenv("NVIDIA_API_KEY", ""),
+            MOLTBOOK_API_KEY=os.getenv("MOLTBOOK_API_KEY", ""),
+            HF_TOKEN=os.getenv("HF_TOKEN", ""),
+            BRAVE_API_KEY=os.getenv("BRAVE_API_KEY", ""),
+            EMAIL_ADDRESS=os.getenv("EMAIL_ADDRESS", ""),
+            EMAIL_PASSWORD=os.getenv("EMAIL_PASSWORD", ""),
+        )
+    
+    def get_best_llm(self) -> tuple[str, str]:
+        """Return (provider, key) for the best available LLM."""
+        if self.GROQ_API_KEY:
+            return ("groq", self.GROQ_API_KEY)
+        if self.GEMINI_API_KEY:
+            return ("gemini", self.GEMINI_API_KEY)
+        if self.NVIDIA_API_KEY:
+            return ("nvidia", self.NVIDIA_API_KEY)
+        return ("none", "")
+    
+    def validate(self) -> list[str]:
+        """Check which services are available."""
+        available = []
+        if self.GEMINI_API_KEY: available.append("gemini")
+        if self.GROQ_API_KEY: available.append("groq")
+        if self.NVIDIA_API_KEY: available.append("nvidia")
+        if self.MOLTBOOK_API_KEY: available.append("moltbook")
+        if self.HF_TOKEN: available.append("huggingface")
+        if self.BRAVE_API_KEY: available.append("brave")
+        if self.EMAIL_ADDRESS: available.append("email")
+        return available