mirror of
https://github.com/run-llama/mcp_resume_screening.git
synced 2026-06-30 21:57:58 -04:00
21 lines
1.1 KiB
Python
21 lines
1.1 KiB
Python
"""Configuration settings for the MCP server."""
|
|
|
|
import os
|
|
|
|
# OpenAI Configuration
|
|
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "your-openai-api-key-here") # Replace with your actual API key or set OPENAI_API_KEY env var
|
|
DEFAULT_MODEL = "gpt-4o-mini"
|
|
|
|
# LlamaCloud Configuration - Public Resumes Index
|
|
LLAMA_CLOUD_API_KEY = os.getenv("LLAMA_CLOUD_API_KEY", "your-llamacloud-api-key-here") # Replace with your actual API key or set LLAMA_CLOUD_API_KEY env var
|
|
LLAMA_CLOUD_PROJECT_NAME = os.getenv("LLAMA_CLOUD_PROJECT_NAME", "Default") # Replace with your project name or set env var
|
|
LLAMA_CLOUD_ORGANIZATION_ID = os.getenv("LLAMA_CLOUD_ORGANIZATION_ID", "your-org-id-here") # Replace with your organization ID or set env var
|
|
LLAMA_CLOUD_INDEX_NAME = os.getenv("LLAMA_CLOUD_INDEX_NAME", "resume_public") # Replace with your index name or set env var
|
|
|
|
# Server Configuration
|
|
DEFAULT_PORT = int(os.getenv("PORT", "8080"))
|
|
DEFAULT_HOST = os.getenv("HOST", "0.0.0.0")
|
|
|
|
# API Configuration
|
|
REQUEST_TIMEOUT = float(os.getenv("REQUEST_TIMEOUT", "30.0"))
|
|
OPENAI_TEMPERATURE = float(os.getenv("OPENAI_TEMPERATURE", "0.1")) |