websumm-agent 2025.12.21193658
Efficient web information retrieval and summation without excessive token usage.
License: MIT
Requires Python: >=3.9

# websumm-agent
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A Python package that helps agents efficiently retrieve and summarize information from the web without excessive token usage. The package takes a user's query as input and returns a structured response containing the most relevant and concise information fetched from the web. It ensures that the output is well-formatted and adheres to specific patterns, making it easy for agents to process and utilize the information.

## Installation

```bash
pip install websumm_agent
```

## Usage

### Basic Usage

```python
from websumm_agent import websumm_agent

user_input = "What are the latest developments in quantum computing?"
response = websumm_agent(user_input)
print(response)
```

### Using a Custom LLM

You can pass your own LangChain-compatible LLM instance to use with different providers:

#### OpenAI
```python
from langchain_openai import ChatOpenAI
from websumm_agent import websumm_agent

llm = ChatOpenAI()
user_input = "What are the latest developments in quantum computing?"
response = websumm_agent(user_input, llm=llm)
```

#### Anthropic
```python
from langchain_anthropic import ChatAnthropic
from websumm_agent import websumm_agent

llm = ChatAnthropic()
user_input = "What are the latest developments in quantum computing?"
response = websumm_agent(user_input, llm=llm)
```

#### Google Generative AI
```python
from langchain_google_genai import ChatGoogleGenerativeAI
from websumm_agent import websumm_agent

llm = ChatGoogleGenerativeAI()
user_input = "What are the latest developments in quantum computing?"
response = websumm_agent(user_input, llm=llm)
```

### Using a Custom API Key

```python
from websumm_agent import websumm_agent

user_input = "What are the latest developments in quantum computing?"
response = websumm_agent(user_input, api_key="your_llm7_api_key_here")
```

## Parameters

- `user_input` (str) - The user input text to process
- `llm` (Optional[BaseChatModel]) - The LangChain LLM instance to use. If not provided, the default ChatLLM7 will be used.
- `api_key` (Optional[str]) - The API key for LLM7. If not provided, the package will look for the `LLM7_API_KEY` environment variable.

## Default LLM Provider

By default, the package uses ChatLLM7 from [langchain-llm7](https://pypi.org/project/langchain-llm7/). The default rate limits for LLM7 free tier are sufficient for most use cases. For higher rate limits, you can:

1. Set the `LLM7_API_KEY` environment variable
2. Pass your API key directly to the function
3. Get a free API key by registering at [https://token.llm7.io/](https://token.llm7.io/)

## Contributing

Issues and contributions are welcome! Please submit them through the [GitHub repository](https://github.com/chigwell/websumm-agent).

## Author

**Eugene Evstafev**  
Email: hi@euegne.plus  
GitHub: [chigwell](https://github.com/chigwell)