hybrid-cloud-navigator 2025.12.21174658

A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency

hybrid_cloud_navigator

==========================

Overview

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A Python package to help users navigate the complexities of hybrid cloud environments in 2025. It takes user input, processes it, and provides structured, actionable insights to mitigate data gravity and egress shock, optimize cloud architecture, and ensure cost-efficiency and performance in hybrid cloud setups.

Installation

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pip install hybrid_cloud_navigator

Usage

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from hybrid_cloud_navigator import hybrid_cloud_navigator

response = hybrid_cloud_navigator(
    user_input="Your specific hybrid cloud challenges",
    api_key="Your LLM7 API key"
)

You can also pass your own LLM instance if you want to use another language model:

from langchain_llm7 import ChatLLM7
from hybrid_cloud_navigator import hybrid_cloud_navigator

llm = ChatLLM7(api_key="Your LLM7 API key")
response = hybrid_cloud_navigator(
    user_input="Your specific hybrid cloud challenges",
    llm=llm
)

Or using other LLMs:

from langchain_openai import ChatOpenAI
from hybrid_cloud_navigator import hybrid_cloud_navigator

llm = ChatOpenAI()
response = hybrid_cloud_navigator(
    user_input="Your specific hybrid cloud challenges",
    llm=llm
)

# Using Anthropic
from langchain_anthropic import ChatAnthropic
from hybrid_cloud_navigator import hybrid_cloud_navigator

llm = ChatAnthropic()
response = hybrid_cloud_navigator(
    user_input="Your specific hybrid cloud challenges",
    llm=llm
)

# Using Google GenAI
from langchain_google_genai import ChatGoogleGenerativeAI
from hybrid_cloud_navigator import hybrid_cloud_navigator

llm = ChatGoogleGenerativeAI()
response = hybrid_cloud_navigator(
    user_input="Your specific hybrid cloud challenges",
    llm=llm
)

API Documentation

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hybrid_cloud_navigator function

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• user_input: the user input text to process (str)
• api_key: the LLM7 API key (Optional[str])
• llm: the langchain LLM instance to use (Optional[BaseChatModel])
• Returns: a list of actionable insights

Contributing

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Contributions are welcome.

Rate Limits

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The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you need higher rate limits, you can pass your own API key via environment variable LLM7_API_KEY or directly.

You can get a free API key by registering at https://token.llm7.io/.

Issues

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https://github.com/chigwell/hybrid_cloud_navigator/issues

Author

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Eugene Evstafev ([e-mail])