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.
46 lines
905 B
Python
46 lines
905 B
Python
"""
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Base tool interface.
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"""
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from abc import ABC, abstractmethod
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from typing import Any, Dict
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class BaseTool(ABC):
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"""Base class for MCP tools."""
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@property
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@abstractmethod
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def name(self) -> str:
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"""Tool name."""
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pass
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@property
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@abstractmethod
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def description(self) -> str:
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"""Tool description."""
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pass
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@abstractmethod
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def get_schema(self) -> Dict[str, Any]:
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"""
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Get tool schema for tools/list response.
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Returns:
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Dict with name, description, and inputSchema
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"""
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pass
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@abstractmethod
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def execute(self, arguments: Dict[str, Any]) -> Any:
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"""
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Execute the tool with given arguments.
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Args:
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arguments: Tool arguments
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Returns:
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Tool execution result
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"""
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pass
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