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.
27 lines
623 B
Bash
Executable File
27 lines
623 B
Bash
Executable File
#!/bin/bash
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# Run script for MCP Server
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set -e
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# Get the directory where this script is located
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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cd "$SCRIPT_DIR"
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# Check if virtual environment exists
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if [ ! -d "venv" ]; then
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echo "Virtual environment not found. Running setup..."
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./setup.sh
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fi
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# Activate virtual environment
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source venv/bin/activate
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# Set PYTHONPATH to include the mcp-server directory so imports work
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export PYTHONPATH="$SCRIPT_DIR:$PYTHONPATH"
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# Run the server
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# This ensures Python can find the tools module
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echo "Starting MCP Server..."
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echo "Running from: $(pwd)"
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python server/mcp_server.py
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