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https://github.com/LeoYeAI/openclaw-master-skills.git
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110 lines
3.6 KiB
Python
110 lines
3.6 KiB
Python
#!/usr/bin/env python3
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"""
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Model Detector - Safe module for detecting local AI models
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Security:
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- No subprocess execution (removed)
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- No HTTP requests (removed)
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- Read-only operations only
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"""
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import json
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import os
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from dataclasses import dataclass
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from typing import List
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@dataclass
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class ModelInfo:
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"""Model information - read-only"""
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id: str
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name: str
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provider: str
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type: str
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cost_score: float = 0
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power_score: float = 50
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capabilities: List[str] = None
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def __post_init__(self):
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if self.capabilities is None:
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self.capabilities = ["chat"]
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class ModelDetector:
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"""
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Detect available AI models safely.
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Only reads from:
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- Ollama config files (read-only)
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- Environment variables (read-only)
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"""
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def detect_local(self) -> List[ModelInfo]:
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"""Detect local models from Ollama config"""
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models = []
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# Check Ollama models.json (read-only, safe)
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ollama_models = self._read_ollama_models()
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models.extend(ollama_models)
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return models
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def _read_ollama_models(self) -> List[ModelInfo]:
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"""
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Read Ollama models from config file.
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Safe: read-only file operation.
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"""
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models = []
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config_paths = [
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os.path.expanduser("~/.ollama/models.json"),
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"/usr/share/ollama/models.json",
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]
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for config_path in config_paths:
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if os.path.exists(config_path):
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try:
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with open(config_path, "r") as f:
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data = json.load(f)
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for model_name in data.keys():
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# Estimate power score from name
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power = 30
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name_lower = model_name.lower()
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if "70b" in name_lower:
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power = 80
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elif "34b" in name_lower or "33b" in name_lower:
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power = 70
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elif "14b" in name_lower or "13b" in name_lower:
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power = 50
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elif "8b" in name_lower or "7b" in name_lower:
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power = 35
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elif "3b" in name_lower or "2b" in name_lower:
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power = 20
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models.append(ModelInfo(
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id=f"ollama:{model_name}",
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name=model_name,
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provider="Ollama",
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type="local",
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cost_score=0,
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power_score=power,
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))
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break # Use first valid config
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except Exception:
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pass
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return models
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def get_cloud_registry(self) -> List[ModelInfo]:
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"""Return built-in cloud model registry (no external calls)"""
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return [
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ModelInfo("anthropic:claude-haiku-4", "Claude Haiku 4", "Anthropic", "cloud", 3, 60),
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ModelInfo("anthropic:claude-sonnet-4", "Claude Sonnet 4", "Anthropic", "cloud", 5, 80),
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ModelInfo("anthropic:claude-opus-4", "Claude Opus 4", "Anthropic", "cloud", 8, 95),
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ModelInfo("openai:gpt-4o-mini", "GPT-4o Mini", "OpenAI", "cloud", 1, 50),
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ModelInfo("openai:gpt-4o", "GPT-4o", "OpenAI", "cloud", 5, 85),
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]
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def detect_all(self) -> List[ModelInfo]:
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"""Detect all available models"""
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return self.detect_local() + self.get_cloud_registry()
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