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langchain[minor]: Experimental Masking Module #3548

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5301fc4
[Feature] Implementation of experimental masking parser/transformer
Jordan-Gilliam Nov 21, 2023
6997222
test: add perf unit test
Jordan-Gilliam Nov 28, 2023
aeb37d7
fix: rename piitransformer to regextransformer
Jordan-Gilliam Nov 29, 2023
d85d15d
added example Kitchen Sink for masking parser
Dec 1, 2023
bc2337a
merged with main
Dec 1, 2023
af49c2b
docs: Add documentation, nextjs example and kitchen sink example
Jordan-Gilliam Dec 4, 2023
0bfdadc
Merge pull request #1 from Ally-Financial/feature/masking
ddzmitry Dec 4, 2023
ed9bc40
fix: wording
Jordan-Gilliam Dec 5, 2023
43137ec
docs: add basic example
Jordan-Gilliam Dec 5, 2023
ce1a3e9
fix: remove comment and return stream
Jordan-Gilliam Dec 5, 2023
0279385
Merge branch 'main' into feature/masking
Jordan-Gilliam Dec 5, 2023
647b730
Merge pull request #2 from Ally-Financial/feature/masking
Jordan-Gilliam Dec 5, 2023
81f8557
feat: async hooks, immutable parser state
Jordan-Gilliam Dec 6, 2023
94738cc
fix: parse -> mask
Jordan-Gilliam Dec 6, 2023
827d514
fix: || -> ??
Jordan-Gilliam Dec 6, 2023
6e4d945
Merge branch 'feature/masking' of https://github.com/Ally-Financial/l…
Jordan-Gilliam Dec 6, 2023
7198be3
Merge pull request #3 from Ally-Financial/feature/masking
Jordan-Gilliam Dec 6, 2023
8e9360e
Fix lint, style
jacoblee93 Dec 6, 2023
da86cc9
Merge branch 'main' of https://github.com/hwchase17/langchainjs into …
jacoblee93 Dec 6, 2023
d8efef7
Merge pull request #4 from Ally-Financial/jacob/ally_parser
Jordan-Gilliam Dec 6, 2023
13d4f19
Fix build
jacoblee93 Dec 7, 2023
07f2ef6
Update mask.mdx
jacoblee93 Dec 7, 2023
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5 changes: 5 additions & 0 deletions docs/core_docs/docs/modules/experimental/index.mdx
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---
sidebar_position: 6
---

# Experimental
34 changes: 34 additions & 0 deletions docs/core_docs/docs/modules/experimental/mask/mask.mdx
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# Masking

The experimental masking parser and transformer is an extendable module for masking and rehydrating strings. One of the primary use cases for this module is to redact PII (Personal Identifiable Information) from a string before making a call to an llm.

### Real world scenario

A customer support system receives messages containing sensitive customer information. The system must parse these messages, mask any PII (like names, email addresses, and phone numbers), and log them for analysis while complying with privacy regulations. Before logging the transcript a summary is generated using an llm.

## Get started

import CodeBlock from "@theme/CodeBlock";
import ExampleBasic from "@examples/experimental/masking/basic.ts";
import ExampleNext from "@examples/experimental/masking/next.ts";
import ExampleKitchenSink from "@examples/experimental/masking/kitchen_sink.ts";

### Basic Example

Use the RegexMaskingTransformer to create a simple mask for email and phone.

<CodeBlock language="typescript">{ExampleBasic}</CodeBlock>

:::note
If you plan on storing the masking state to rehydrate the original values asynchronously ensure you are following best security practices. In most cases you will want to define a custom hashing and salting strategy.
:::

### Next.js stream

Example nextjs chat endpoint leveraging the RegexMaskingTransformer. The current chat message and chat message history are masked every time the api is called with a chat payload.

<CodeBlock language="typescript">{ExampleNext}</CodeBlock>

### Kitchen sink

<CodeBlock language="typescript">{ExampleKitchenSink}</CodeBlock>
4 changes: 4 additions & 0 deletions docs/core_docs/docs/modules/index.mdx
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Expand Up @@ -29,3 +29,7 @@ Persist application state between runs of a chain
#### [Callbacks](/docs/modules/callbacks/)

Log and stream intermediate steps of any chain

#### [Experimental](/docs/modules/experimental/)

Experimental modules whose abstractions have not fully settled
30 changes: 30 additions & 0 deletions examples/src/experimental/masking/basic.ts
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import {
MaskingParser,
RegexMaskingTransformer,
} from "langchain/experimental/masking";

// Define masking strategy
const emailMask = () => `[email-${Math.random().toString(16).slice(2)}]`;
const phoneMask = () => `[phone-${Math.random().toString(16).slice(2)}]`;

// Configure pii transformer
const piiMaskingTransformer = new RegexMaskingTransformer({
email: { regex: /\S+@\S+\.\S+/g, mask: emailMask },
phone: { regex: /\d{3}-\d{3}-\d{4}/g, mask: phoneMask },
});

const maskingParser = new MaskingParser({
transformers: [piiMaskingTransformer],
});
maskingParser.addTransformer(piiMaskingTransformer);

const input =
"Contact me at [email protected] or 555-123-4567. Also reach me at [email protected]";
const masked = await maskingParser.parse(input);

console.log(masked);
// Contact me at [email-a31e486e324f6] or [phone-da8fc1584f224]. Also reach me at [email-d5b6237633d95]

const rehydrated = maskingParser.rehydrate(masked);
console.log(rehydrated);
// Contact me at [email protected] or 555-123-4567. Also reach me at [email protected]
80 changes: 80 additions & 0 deletions examples/src/experimental/masking/kitchen_sink.ts
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import {
MaskingParser,
RegexMaskingTransformer,
} from "langchain/experimental/masking";

// A simple hash function for demonstration purposes
function simpleHash(input: string): string {
let hash = 0;
for (let i = 0; i < input.length; i += 1) {
const char = input.charCodeAt(i);
hash = (hash << 5) - hash + char;
hash |= 0; // Convert to 32bit integer
}
return hash.toString(16);
}

const emailMask = (match: string) => `[email-${simpleHash(match)}]`;
const phoneMask = (match: string) => `[phone-${simpleHash(match)}]`;
const nameMask = (match: string) => `[name-${simpleHash(match)}]`;
const ssnMask = (match: string) => `[ssn-${simpleHash(match)}]`;
const creditCardMask = (match: string) => `[creditcard-${simpleHash(match)}]`;
const passportMask = (match: string) => `[passport-${simpleHash(match)}]`;
const licenseMask = (match: string) => `[license-${simpleHash(match)}]`;
const addressMask = (match: string) => `[address-${simpleHash(match)}]`;
const dobMask = (match: string) => `[dob-${simpleHash(match)}]`;
const bankAccountMask = (match: string) => `[bankaccount-${simpleHash(match)}]`;

// Regular expressions for different types of PII
const patterns = {
email: { regex: /\S+@\S+\.\S+/g, mask: emailMask },
phone: { regex: /\b\d{3}-\d{3}-\d{4}\b/g, mask: phoneMask },
name: { regex: /\b[A-Z][a-z]+ [A-Z][a-z]+\b/g, mask: nameMask },
ssn: { regex: /\b\d{3}-\d{2}-\d{4}\b/g, mask: ssnMask },
creditCard: { regex: /\b(?:\d{4}[ -]?){3}\d{4}\b/g, mask: creditCardMask },
passport: { regex: /(?i)\b[A-Z]{1,2}\d{6,9}\b/g, mask: passportMask },
license: { regex: /(?i)\b[A-Z]{1,2}\d{6,8}\b/g, mask: licenseMask },
address: {
regex: /\b\d{1,5}\s[A-Z][a-z]+(?:\s[A-Z][a-z]+)\*\b/g,
mask: addressMask,
},
dob: { regex: /\b\d{4}-\d{2}-\d{2}\b/g, mask: dobMask },
bankAccount: { regex: /\b\d{8,17}\b/g, mask: bankAccountMask },
};

// Create a RegexMaskingTransformer with multiple patterns
const piiMaskingTransformer = new RegexMaskingTransformer(patterns);

// Hooks for different stages of masking and rehydrating
const onMaskingStart = (message: string) =>
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Allow async functions here?

console.log(`Starting to mask message: ${message}`);
const onMaskingEnd = (maskedMessage: string) =>
console.log(`Masked message: ${maskedMessage}`);
const onRehydratingStart = (message: string) =>
console.log(`Starting to rehydrate message: ${message}`);
const onRehydratingEnd = (rehydratedMessage: string) =>
console.log(`Rehydrated message: ${rehydratedMessage}`);

// Initialize MaskingParser with the transformer and hooks
const maskingParser = new MaskingParser({
transformers: [piiMaskingTransformer],
onMaskingStart,
onMaskingEnd,
onRehydratingStart,
onRehydratingEnd,
});

// Example message containing multiple types of PII
const message =
"Contact Jane Doe at [email protected] or 555-123-4567. Her SSN is 123-45-6789 and her credit card number is 1234-5678-9012-3456. Passport number: AB1234567, Driver's License: X1234567, Address: 123 Main St, Date of Birth: 1990-01-01, Bank Account: 12345678901234567.";

// Mask and rehydrate the message
maskingParser
.parse(message)
.then((maskedMessage: string) => {
console.log(`Masked message: ${maskedMessage}`);
return maskingParser.rehydrate(maskedMessage);
})
.then((rehydratedMessage: string) => {
console.log(`Final rehydrated message: ${rehydratedMessage}`);
});
69 changes: 69 additions & 0 deletions examples/src/experimental/masking/next.ts
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// app/api/chat

import {
MaskingParser,
RegexMaskingTransformer,
} from "langchain/experimental/masking";
import { PromptTemplate } from "langchain/prompts";
import { ChatOpenAI } from "langchain/chat_models/openai";
import { BytesOutputParser } from "langchain/schema/output_parser";

export const runtime = "edge";

// Function to format chat messages for consistency
const formatMessage = (message: any) => `${message.role}: ${message.content}`;

const CUSTOMER_SUPPORT = `You are a customer support summarizer agent. Always include masked PII in your response.
Current conversation:
{chat_history}
User: {input}
AI:`;

// Configure Masking Parser
const maskingParser = new MaskingParser();
// Define transformations for masking emails and phone numbers using regular expressions
const piiMaskingTransformer = new RegexMaskingTransformer({
email: { regex: /\S+@\S+\.\S+/g }, // If a regex is provided without a mask we fallback to a simple default hashing function
phone: { regex: /\d{3}-\d{3}-\d{4}/g },
});

maskingParser.addTransformer(piiMaskingTransformer);

export async function POST(req: Request) {
try {
const body = await req.json();
const messages = body.messages ?? [];
const formattedPreviousMessages = messages.slice(0, -1).map(formatMessage);
const currentMessageContent = messages[messages.length - 1].content; // Extract the content of the last message
// Mask sensitive information in the current message
const guardedMessageContent = await maskingParser.parse(
currentMessageContent
);
// Mask sensitive information in the chat history
const guardedHistory = await maskingParser.parse(
formattedPreviousMessages.join("\n")
);

const prompt = PromptTemplate.fromTemplate(CUSTOMER_SUPPORT);
const model = new ChatOpenAI({ temperature: 0.8 });
// Initialize an output parser that handles serialization and byte-encoding for streaming
const outputParser = new BytesOutputParser();
const chain = prompt.pipe(model).pipe(outputParser); // Chain the prompt, model, and output parser together

console.log("[GUARDED INPUT]", guardedMessageContent); // Contact me at -1157967895 or -1626926859.
console.log("[GUARDED HISTORY]", guardedHistory); // user: Contact me at -1157967895 or -1626926859. assistant: Thank you for providing your contact information.
console.log("[STATE]", maskingParser.getState()); // { '-1157967895' => '[email protected]', '-1626926859' => '555-123-4567'}

// Stream the AI response based on the masked chat history and current message
const stream = await chain.stream({
chat_history: guardedHistory,
input: guardedMessageContent,
});

return new Response(stream, {
headers: { "content-type": "text/plain; charset=utf-8" },
});
} catch (e: any) {
return Response.json({ error: e.message }, { status: 500 });
}
}
1 change: 1 addition & 0 deletions langchain/scripts/create-entrypoints.js
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Expand Up @@ -325,6 +325,7 @@ const entrypoints = {
"experimental/hubs/makersuite/googlemakersuitehub",
"experimental/chains/violation_of_expectations":
"experimental/chains/violation_of_expectations/index",
"experimental/masking": "experimental/masking/index",
"experimental/tools/pyinterpreter": "experimental/tools/pyinterpreter",
// evaluation
evaluation: "evaluation/index",
Expand Down
8 changes: 8 additions & 0 deletions langchain/src/experimental/masking/index.ts
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export { MaskingParser } from "./parser.js";
export { RegexMaskingTransformer } from "./regex_masking_transformer.js";
export { MaskingTransformer } from "./transformer.js";
export {
type MaskingParserConfig,
type HashFunction,
type HookFunction,
} from "./types.js";
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