structuredxtract

Extract structured information from unstructured text with pattern-matching precision.

A Python package that simplifies structured data extraction from plain text inputs using a language model with pattern-matching capabilities. Ideal for surveys, feedback analysis, and report generation where consistent, well-formatted outputs are required.

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🚀 Features

• Pattern-based extraction: Uses regex patterns to enforce structured output formats.
• Flexible LLM integration: Works with default ChatLLM7 or any LangChain-compatible model.
• No multimedia support: Focuses solely on text-based inputs for reliability.
• Consistent formatting: Ensures responses match expected schemas (tables, summaries, key-value pairs).
• Easy customization: Replace default LLM with OpenAI, Anthropic, Google, or any other LangChain model.

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📦 Installation

pip install structuredxtract

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🔧 Usage

Basic Usage (Default LLM7)

fromstructuredxtractimportstructuredxtractuser_input="""Name: John DoeAge: 30Occupation: Software Engineer"""response=structuredxtract(user_input)
print(response) # Structured output based on predefined patterns

Custom LLM Integration

Replace the default ChatLLM7 with your preferred model:

OpenAI

fromlangchain_openaiimportChatOpenAIfromstructuredxtractimportstructuredxtractllm=ChatOpenAI()
response=structuredxtract(user_input, llm=llm)

Anthropic

fromlangchain_anthropicimportChatAnthropicfromstructuredxtractimportstructuredxtractllm=ChatAnthropic()
response=structuredxtract(user_input, llm=llm)

Google Vertex AI

fromlangchain_google_genaiimportChatGoogleGenerativeAIfromstructuredxtractimportstructuredxtractllm=ChatGoogleGenerativeAI()
response=structuredxtract(user_input, llm=llm)

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🔑 API Key

• Default: Uses LLM7_API_KEY from environment variables.
• Manual override: Pass via api_key parameter or set LLM7_API_KEY before importing.

  importosos.environ["LLM7_API_KEY"] ="your_api_key_here"

Get a free API key at LLM7 Token.

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📜 Parameters

Parameter	Type	Description
user_input	str	Plain text input to extract structured data from.
api_key	Optional[str]	LLM7 API key (optional if using environment variable).
llm	Optional[BaseChatModel]	Custom LangChain LLM (e.g., ChatOpenAI, ChatAnthropic). Defaults to ChatLLM7.

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📊 Output

Returns a List[str] of extracted data matching predefined patterns. Example:

[
{"Name": "John Doe", "Age": "30", "Occupation": "Software Engineer"},
{"Key1": "Value1", "Key2": "Value2"}
]

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🔄 Rate Limits

• LLM7 Free Tier: Sufficient for most use cases.
• Custom API Key: For higher limits, pass via api_key or environment variable.

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📝 License

MIT

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📢 Support & Issues

For bugs or feature requests, open an issue on GitHub.

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👤 Author

Eugene Evstafev 📧 hi@euegne.plus 🔗 GitHub: chigwell