llm-resource-finder 2025.12.20202112

A new package that helps users discover and access the latest free LLM (Large Language Model) resources. Users can input their specific needs or interests, and the package will return a structured lis

LLM Resource Finder

A Python package that helps users discover and access the latest free LLM (Large Language Model) resources. Input your specific needs or interests, and get a structured list of relevant, up-to-date, and free LLM resources, including datasets, pre-trained models, tutorials, research papers, and community forums.

Installation

pip install llm_resource_finder

Usage

Basic Example

from llm_resource_finder import llm_resource_finder

user_input = "I need free pre-trained language models for text generation."
resources = llm_resource_finder(user_input=user_input)
print(resources)

Using a Custom LLM

You can use any LangChain-compatible chat model by passing it to the llm parameter.

Using OpenAI

from langchain_openai import ChatOpenAI
from llm_resource_finder import llm_resource_finder

llm = ChatOpenAI()
response = llm_resource_finder(user_input="Find free LLM datasets", llm=llm)

Using Anthropic

from langchain_anthropic import ChatAnthropic
from llm_resource_finder import llm_resource_finder

llm = ChatAnthropic()
response = llm_resource_finder(user_input="Latest LLM research papers", llm=llm)

Using Google Generative AI

from langchain_google_genai import ChatGoogleGenerativeAI
from llm_resource_finder import llm_resource_finder

llm = ChatGoogleGenerativeAI()
response = llm_resource_finder(user_input="Free LLM tutorials", llm=llm)

Using a Custom API Key

By default, the package uses the free tier of LLM7. You can provide your own API key for higher rate limits.

Via Environment Variable

export LLM7_API_KEY="your_api_key_here"

Via Function Parameter

from llm_resource_finder import llm_resource_finder

response = llm_resource_finder(
    user_input="Find LLM resources",
    api_key="your_api_key_here"
)

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

Parameters

• user_input (str): The user input text describing the desired LLM resources.
• llm (Optional[BaseChatModel]): A LangChain-compatible chat model instance. Defaults to ChatLLM7.
• api_key (Optional[str]): API key for LLM7. If not provided, the package uses the environment variable LLM7_API_KEY or defaults to the free tier.

Default LLM

The package uses ChatLLM7 from langchain_llm7 by default. The free tier rate limits are sufficient for most use cases.

Contributing

We welcome contributions! Please report issues or suggest features on GitHub.

Author

Eugene Evstafev
Email: [e-mail]
GitHub: chigwell

License

This project is licensed under the MIT License. See the LICENSE file for details.