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42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
"""
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Configuration for vLLM Tool Calling Demo
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"""
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import os
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from pathlib import Path
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Model Configuration
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MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen3-0.6B") # Can use ModelScope path or HuggingFace
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MODEL_PATH = os.getenv("MODEL_PATH", None) # Optional: local model path
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VLLM_PORT = int(os.getenv("VLLM_PORT", 8000))
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VLLM_HOST = os.getenv("VLLM_HOST", "localhost")
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# vLLM Server Configuration
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VLLM_SERVER_CONFIG = {
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"model": MODEL_NAME,
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"port": VLLM_PORT,
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"host": VLLM_HOST,
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"enable_auto_tool_choice": True,
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"tool_call_parser": "hermes",
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"max_model_len": 8192,
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"gpu_memory_utilization": 0.9,
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"dtype": "auto",
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"enforce_eager": False, # Set to True if you encounter issues
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}
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# OpenAI Client Configuration (for connecting to vLLM)
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OPENAI_API_BASE = f"http://{VLLM_HOST}:{VLLM_PORT}/v1"
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OPENAI_API_KEY = "EMPTY" # vLLM doesn't require a real key
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# Tool Configuration
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ENABLE_WEATHER_TOOL = True
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ENABLE_CALCULATOR_TOOL = True
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ENABLE_SEARCH_TOOL = True
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# Logging
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LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")
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LOG_FILE = Path("logs") / "vllm_tool_demo.log"
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