SAIDEX — Structured AI Data Extraction

CI PyPI Python 3.10+ License: Apache 2.0

Extract validated Pydantic models from LLM responses — with automatic retry, field-level error feedback, an optional fallback model, and an agentic tool loop.

Works with any LangChain-compatible model: GPT-4o, Claude, Gemini, and local models via Ollama or vLLM. No tool-calling support required — use ExtractionMode.JSON for any chat model.

Installation

pip install saidex

With automatic OpenAI rate-limit handling:

pip install "saidex[openai]"

Quick start

import asyncio
from pydantic import BaseModel, Field
from langchain_openai import ChatOpenAI
from saidex import extract_data_from_text

class PersonInfo(BaseModel):
    name: str
    age: int
    occupation: str

async def main():
    llm = ChatOpenAI(model="gpt-4o-mini", temperature=0)

    person, stats = await extract_data_from_text(
        llm,
        PersonInfo,
        "Alice Müller, 34, works as a software engineer in Munich.",
    )

    print(person)               # name='Alice Müller' age=34 occupation='software engineer'
    print(stats.total_retries)  # 0 — first attempt was valid

asyncio.run(main())

Key features

Feature Detail
Validated output Pydantic validation with field-level error feedback fed back to the LLM for self-correction
Auto-retry Configurable retries with exponential back-off for transient errors and rate limits
Fallback model Pair a cheap primary with a powerful fallback — pay for the big model only when needed
No tool-calling required ExtractionMode.JSON works with any chat model including local models via Ollama / vLLM
Agentic tool loop Give the LLM your own tools (lookups, API calls) — it calls them freely, then delivers a validated final answer
Multimodal Pass images via standard LangChain messages to any vision-capable model
LangChain-native Plugs into any LangChain chat model; supports callbacks (Langfuse, LangSmith, …)

Links

License

Copyright 2026 Martin Lauff. Licensed under the Apache License, Version 2.0.

Project links

Data verified by PyPI on Jun 15, 2026
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Key dates

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  • Released:
Newer release available (0.7.0)

1 maintainer

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Credits

Author: Martin Lauff

GitHub Statistics

Data verified by PyPI on Jun 15, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License (Apache-2.0)

Requires

Python >=3.10

Provides Extra

benchmarks openai

Tags

ai data-extraction extraction langchain llm pydantic structured-data structured-output

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