LangChain Integration (OSS)

pip install flexorch-audit langchain-community

from flexorch_audit.integrations.langchain import AuditedLoader

loader = AuditedLoader(
    file_paths=["contracts/agreement.pdf", "invoices/inv_001.pdf"],
    min_grade="B",          # Skip documents graded C or D
    mask_pii=True,          # Replace PII before loading
    locales=["universal", "tr", "de"],
)

docs = loader.load()

for doc in docs:
    print(doc.metadata["quality_grade"])      # "A"
    print(doc.metadata["pii_findings_count"]) # 2
    print(doc.page_content[:200])             # PII already masked

from langchain_openai import OpenAIEmbeddings
from langchain_community.vectorstores import FAISS
from flexorch_audit.integrations.langchain import AuditedLoader

loader = AuditedLoader(file_paths=["docs/"], min_grade="B", mask_pii=True)
docs = loader.load()

embeddings = OpenAIEmbeddings()
vectorstore = FAISS.from_documents(docs, embeddings)

retriever = vectorstore.as_retriever()

from langchain_core.runnables import RunnableLambda
from flexorch_audit import redact_for_llm

# Use redact_for_llm() inline without a file loader
safe_chain = RunnableLambda(lambda text: redact_for_llm(text)[0]) | your_chain