OpenAI
- Python
- JavaScript
- Java
from blindfold import Blindfold
from openai import OpenAI
bf = Blindfold() # Free local mode, or add api_key="..." for NLP
openai = OpenAI()
# Tokenize PII
safe = bf.tokenize("My name is John Smith, email john@acme.com")
# Send to GPT — PII never reaches OpenAI
response = openai.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": safe.text}]
)
# Restore original data
result = bf.detokenize(response.choices[0].message.content, safe.mapping)
print(result.text)
import { Blindfold } from '@blindfold/sdk';
import OpenAI from 'openai';
const bf = new Blindfold(); // Free local mode
const openai = new OpenAI();
// Tokenize PII
const safe = await bf.tokenize("My name is John Smith, email john@acme.com");
// Send to GPT — PII never reaches OpenAI
const response = await openai.chat.completions.create({
model: 'gpt-4o',
messages: [{ role: 'user', content: safe.text }]
});
// Restore original data
const result = bf.detokenize(response.choices[0].message.content, safe.mapping);
console.log(result.text);
import dev.blindfold.sdk.Blindfold;
Blindfold bf = new Blindfold(); // Free local mode
// Tokenize PII
var safe = bf.tokenize("My name is John Smith, email john@acme.com");
// Send to GPT — PII never reaches OpenAI
String aiResponse = callOpenAI(safe.getText());
// Restore original data
var result = bf.detokenize(aiResponse, safe.getMapping());
System.out.println(result.getText());
Anthropic Claude
- Python
- JavaScript
- Java
from blindfold import Blindfold
import anthropic
bf = Blindfold()
client = anthropic.Anthropic()
safe = bf.tokenize("My name is John Smith, email john@acme.com")
response = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=1024,
messages=[{"role": "user", "content": safe.text}]
)
result = bf.detokenize(response.content[0].text, safe.mapping)
print(result.text)
import { Blindfold } from '@blindfold/sdk';
import Anthropic from '@anthropic-ai/sdk';
const bf = new Blindfold();
const anthropic = new Anthropic();
const safe = await bf.tokenize("My name is John Smith, email john@acme.com");
const response = await anthropic.messages.create({
model: 'claude-sonnet-4-20250514',
max_tokens: 1024,
messages: [{ role: 'user', content: safe.text }]
});
const result = bf.detokenize(response.content[0].text, safe.mapping);
console.log(result.text);
import dev.blindfold.sdk.Blindfold;
Blindfold bf = new Blindfold();
var safe = bf.tokenize("My name is John Smith, email john@acme.com");
// Send to Claude via your preferred Anthropic Java client
String aiResponse = callClaude(safe.getText());
var result = bf.detokenize(aiResponse, safe.getMapping());
System.out.println(result.getText());
Google Gemini
- Python
- JavaScript
from blindfold import Blindfold
from google import genai
bf = Blindfold()
client = genai.Client()
safe = bf.tokenize("My name is John Smith, email john@acme.com")
response = client.models.generate_content(
model="gemini-2.5-flash",
contents=safe.text
)
result = bf.detokenize(response.text, safe.mapping)
print(result.text)
import { Blindfold } from '@blindfold/sdk';
import { GoogleGenAI } from '@google/genai';
const bf = new Blindfold();
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const safe = await bf.tokenize("My name is John Smith, email john@acme.com");
const response = await ai.models.generateContent({
model: 'gemini-2.5-flash',
contents: safe.text
});
const result = bf.detokenize(response.text, safe.mapping);
console.log(result.text);
Vercel AI SDK
import { Blindfold } from '@blindfold/sdk';
import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';
const bf = new Blindfold();
const safe = await bf.tokenize("My name is John Smith, email john@acme.com");
const { text } = await generateText({
model: openai('gpt-4o'),
prompt: safe.text
});
const result = bf.detokenize(text, safe.mapping);
console.log(result.text);
AWS Bedrock
from blindfold import Blindfold
import boto3
import json
bf = Blindfold()
bedrock = boto3.client("bedrock-runtime", region_name="us-east-1")
safe = bf.tokenize("My name is John Smith, email john@acme.com")
response = bedrock.invoke_model(
modelId="anthropic.claude-sonnet-4-20250514-v1:0",
body=json.dumps({
"anthropic_version": "bedrock-2023-05-31",
"max_tokens": 1024,
"messages": [{"role": "user", "content": safe.text}]
})
)
body = json.loads(response["body"].read())
result = bf.detokenize(body["content"][0]["text"], safe.mapping)
print(result.text)
Azure OpenAI
from blindfold import Blindfold
from openai import AzureOpenAI
bf = Blindfold()
client = AzureOpenAI(
azure_endpoint="https://your-resource.openai.azure.com",
api_version="2024-02-15-preview"
)
safe = bf.tokenize("My name is John Smith, email john@acme.com")
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": safe.text}]
)
result = bf.detokenize(response.choices[0].message.content, safe.mapping)
print(result.text)
Framework Integrations
LangChain
Official
langchain-blindfold package with BlindfoldPIITransformer and RunnableLambda supportGuardrails AI
Official
guardrails-blindfold validator for PII protection in Guardrails pipelinesMCP Server
Official Blindfold MCP server for Claude Desktop and any MCP client
CrewAI
from blindfold import Blindfold
from crewai import Agent, Task, Crew
bf = Blindfold()
user_input = "Analyze the account for John Smith, SSN 123-45-6789"
safe = bf.tokenize(user_input)
analyst = Agent(
role="Data Analyst",
goal="Analyze user accounts",
backstory="You are a helpful analyst."
)
task = Task(
description=safe.text, # PII-free input
agent=analyst,
expected_output="Account analysis"
)
crew = Crew(agents=[analyst], tasks=[task])
output = crew.kickoff()
result = bf.detokenize(output.raw, safe.mapping)
print(result.text)
Works with any provider
The pattern is always the same regardless of provider:from blindfold import Blindfold
bf = Blindfold() # Free local mode, or add api_key="..." for NLP
# 1. Tokenize PII
safe = bf.tokenize(user_input)
# "Hi, I'm John Smith" → "Hi, I'm <Person_1>"
# 2. Send to any AI provider
response = your_ai_provider.chat(safe.text)
# 3. Restore original data
result = bf.detokenize(response, safe.mapping)
Quickstart
Start protecting PII in 5 minutes — install the SDK, no signup required for local mode