ilia
4b9ffb5ddf
- Enhanced `ARCHITECTURE.md` with details on LLM models for work (Llama 3.1 70B Q4) and family agents (Phi-3 Mini 3.8B Q4). - Introduced new documents: - `ASR_EVALUATION.md` for ASR engine evaluation and selection. - `HARDWARE.md` outlining hardware requirements and purchase plans. - `IMPLEMENTATION_GUIDE.md` for Milestone 2 implementation steps. - `LLM_CAPACITY.md` assessing VRAM and context window limits. - `LLM_MODEL_SURVEY.md` surveying open-weight LLM models. - `LLM_USAGE_AND_COSTS.md` detailing LLM usage and operational costs. - `MCP_ARCHITECTURE.md` describing the Model Context Protocol architecture. - `MCP_IMPLEMENTATION_SUMMARY.md` summarizing MCP implementation status. These updates provide comprehensive guidance for the next phases of development and ensure clarity in project documentation.
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
"""
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Weather Tool - Get weather information (stub implementation).
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"""
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from tools.base import BaseTool
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from typing import Any, Dict
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class WeatherTool(BaseTool):
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"""Weather lookup tool (stub implementation)."""
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@property
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def name(self) -> str:
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return "weather"
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@property
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def description(self) -> str:
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return "Get current weather information for a location."
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def get_schema(self) -> Dict[str, Any]:
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"""Get tool schema."""
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return {
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"name": self.name,
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"description": self.description,
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"inputSchema": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "City name or address (e.g., 'San Francisco, CA')"
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}
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},
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"required": ["location"]
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}
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}
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def execute(self, arguments: Dict[str, Any]) -> str:
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"""
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Execute weather tool.
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TODO: Implement actual weather API integration.
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For now, returns a stub response.
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"""
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location = arguments.get("location", "")
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if not location:
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raise ValueError("Missing required argument: location")
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# Stub implementation - will be replaced with actual API
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return f"Weather in {location}: 72°F, sunny. (This is a stub - actual API integration pending)"
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