Anonymizing Genesys Cloud Web Messaging Conversation History Using Python

What You Will Build

A Python script that queries web messaging interactions via the Genesys Cloud Interaction API, extracts message payloads, redacts personally identifiable information using compiled regular expressions, and patches the sanitized transcripts back to the platform. The implementation uses the official Interaction API surface, handles pagination across interaction batches, and implements exponential backoff for rate limiting. The language is Python 3.9+.

Prerequisites

• OAuth2 confidential client with interaction:read and interaction:write scopes
• Genesys Cloud API version v2 (current stable)
• Python 3.9 or higher
• External dependencies: httpx==0.27.0, pydantic==2.8.0
• Organization domain and client credentials stored in environment variables

Authentication Setup

Genesys Cloud uses OAuth2 client credentials flow for server-to-server integrations. The script requests an access token from the authorization endpoint and caches it until expiration. The token payload includes an expires_in field that dictates refresh timing.

import os
import time
import httpx
from pydantic import BaseModel

class TokenResponse(BaseModel):
    access_token: str
    expires_in: int
    token_type: str

class GenesysAuth:
    def __init__(self, org_domain: str, client_id: str, client_secret: str):
        self.org_domain = org_domain
        self.client_id = client_id
        self.client_secret = client_secret
        self.auth_url = f"https://{org_domain}.mypurecloud.com/oauth/token"
        self.token: str = ""
        self.expiry: float = 0.0

    async def get_token(self) -> str:
        if time.time() < self.expiry - 60:
            return self.token

        async with httpx.AsyncClient(timeout=10.0) as client:
            response = await client.post(
                self.auth_url,
                auth=(self.client_id, self.client_secret),
                data={"grant_type": "client_credentials"},
                headers={"Content-Type": "application/x-www-form-urlencoded"}
            )
            response.raise_for_status()
            token_data = TokenResponse(**response.json())
            self.token = token_data.access_token
            self.expiry = time.time() + token_data.expires_in
            return self.token

The get_token method enforces a 60-second buffer before expiration to prevent mid-request authentication failures. The method raises httpx.HTTPStatusError on 400 or 401 responses, which indicates invalid client credentials or missing scopes.

Implementation

Step 1: Query Web Messaging Interactions

The Interaction API provides a query endpoint that filters interactions by type and returns paginated results. The request body uses a simple query language similar to OData. The required OAuth scope is interaction:read.

import json
from typing import AsyncGenerator, Dict, Any

class InteractionClient:
    def __init__(self, org_domain: str, client_id: str, client_secret: str):
        self.base_url = f"https://{org_domain}.mypurecloud.com/api/v2"
        self.auth = GenesysAuth(org_domain, client_id, client_secret)
        self.client = httpx.AsyncClient(
            timeout=30.0,
            transport=httpx.AsyncHTTPTransport(retries=2)
        )

    async def _make_request(self, method: str, path: str, **kwargs) -> httpx.Response:
        token = await self.auth.get_token()
        kwargs.setdefault("headers", {}).update({"Authorization": f"Bearer {token}"})
        kwargs.setdefault("headers", {}).update({"Content-Type": "application/json"})
        response = await self.client.request(method, f"{self.base_url}{path}", **kwargs)
        
        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 5))
            await asyncio.sleep(retry_after)
            return await self._make_request(method, path, **kwargs)
        response.raise_for_status()
        return response

    async def query_interactions(self) -> AsyncGenerator[Dict[str, Any], None]:
        query_body = {
            "query": "type eq 'webmessaging' and state eq 'completed'",
            "size": 100,
            "fields": "id,type,messages,participants,startTime"
        }
        
        next_page = None
        while True:
            kwargs = {"json": query_body}
            if next_page:
                kwargs["params"] = {"nextPage": next_page}
                
            response = await self._make_request("POST", "/interactions/query", **kwargs)
            data = response.json()
            
            for item in data.get("items", []):
                yield item
            
            next_page = data.get("nextPage")
            if not next_page:
                break

The query filters for completed web messaging interactions. The fields parameter limits payload size by excluding unused interaction metadata. The pagination loop consumes the nextPage token until the API returns an empty string. The 429 retry logic reads the Retry-After header and defers execution before repeating the request.

Step 2: Extract and Redact PII from Messages

Genesys Cloud stores web messaging transcripts inside the messages array of each interaction object. Each message contains a text field that may contain emails, phone numbers, credit card numbers, or social security numbers. The redaction function compiles patterns once and replaces matches with a standardized placeholder.

import re
from typing import List, Dict, Any

PII_PATTERNS = {
    "email": re.compile(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b"),
    "phone_us": re.compile(r"\b(?:\+?1[-.\s]?)?\(?[0-9]{3}\)?[-.\s]?[0-9]{3}[-.\s]?[0-9]{4}\b"),
    "ssn": re.compile(r"\b\d{3}[-.\s]?\d{2}[-.\s]?\d{4}\b"),
    "credit_card": re.compile(r"\b(?:\d[ -]*?){13,16}\b"),
    "ip_address": re.compile(r"\b(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\b")
}

REDACTED_PLACEHOLDER = "[REDACTED]"

def redact_pii_in_text(text: str) -> str:
    if not text:
        return text
    sanitized = text
    for pattern in PII_PATTERNS.values():
        sanitized = pattern.sub(REDACTED_PLACEHOLDER, sanitized)
    return sanitized

def sanitize_interaction_messages(interaction: Dict[str, Any]) -> Dict[str, Any]:
    messages = interaction.get("messages", [])
    if not messages:
        return interaction
        
    for message in messages:
        if "text" in message:
            message["text"] = redact_pii_in_text(message["text"])
        if "direction" == "OUT" and "text" in message:
            message["text"] = redact_pii_in_text(message["text"])
            
    interaction["messages"] = messages
    return interaction

The function iterates over the messages array and applies all compiled patterns to the text field. The approach avoids overlapping replacements by processing patterns sequentially. The interaction object is mutated in place to preserve structural integrity for the subsequent PATCH request.

Step 3: Update Interactions with Sanitized Transcripts

The Interaction API supports partial updates via PATCH /api/v2/interactions/{id}. The request body must include the interaction ID and the modified messages array. The required OAuth scope is interaction:write. Genesys Cloud validates the message structure and rejects payloads that break conversation threading or omit required fields.

async def update_interaction_transcript(self, interaction_id: str, sanitized_messages: List[Dict[str, Any]]) -> Dict[str, Any]:
    payload = {
        "id": interaction_id,
        "messages": sanitized_messages
    }
    
    response = await self._make_request(
        "PATCH",
        f"/interactions/{interaction_id}",
        json=payload
    )
    return response.json()

The PATCH endpoint replaces the existing message array for the specified interaction. The response returns the updated interaction object. If the platform returns a 400 status, the payload structure violates schema constraints. If the platform returns a 403 status, the OAuth token lacks interaction:write. The retry logic in _make_request handles transient 429 responses automatically.

Complete Working Example

The following script combines authentication, querying, redaction, and updating into a single executable module. Replace the environment variables with your client credentials before execution.

import os
import asyncio
import json
import time
import httpx
import re
from typing import AsyncGenerator, Dict, Any, List
from pydantic import BaseModel

class TokenResponse(BaseModel):
    access_token: str
    expires_in: int
    token_type: str

class GenesysAuth:
    def __init__(self, org_domain: str, client_id: str, client_secret: str):
        self.org_domain = org_domain
        self.client_id = client_id
        self.client_secret = client_secret
        self.auth_url = f"https://{org_domain}.mypurecloud.com/oauth/token"
        self.token: str = ""
        self.expiry: float = 0.0

    async def get_token(self) -> str:
        if time.time() < self.expiry - 60:
            return self.token
        async with httpx.AsyncClient(timeout=10.0) as client:
            response = await client.post(
                self.auth_url,
                auth=(self.client_id, self.client_secret),
                data={"grant_type": "client_credentials"},
                headers={"Content-Type": "application/x-www-form-urlencoded"}
            )
            response.raise_for_status()
            token_data = TokenResponse(**response.json())
            self.token = token_data.access_token
            self.expiry = time.time() + token_data.expires_in
            return self.token

PII_PATTERNS = {
    "email": re.compile(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b"),
    "phone_us": re.compile(r"\b(?:\+?1[-.\s]?)?\(?[0-9]{3}\)?[-.\s]?[0-9]{3}[-.\s]?[0-9]{4}\b"),
    "ssn": re.compile(r"\b\d{3}[-.\s]?\d{2}[-.\s]?\d{4}\b"),
    "credit_card": re.compile(r"\b(?:\d[ -]*?){13,16}\b"),
    "ip_address": re.compile(r"\b(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\b")
}
REDACTED_PLACEHOLDER = "[REDACTED]"

def redact_pii_in_text(text: str) -> str:
    if not text:
        return text
    sanitized = text
    for pattern in PII_PATTERNS.values():
        sanitized = pattern.sub(REDACTED_PLACEHOLDER, sanitized)
    return sanitized

class InteractionClient:
    def __init__(self, org_domain: str, client_id: str, client_secret: str):
        self.base_url = f"https://{org_domain}.mypurecloud.com/api/v2"
        self.auth = GenesysAuth(org_domain, client_id, client_secret)
        self.client = httpx.AsyncClient(
            timeout=30.0,
            transport=httpx.AsyncHTTPTransport(retries=2)
        )

    async def _make_request(self, method: str, path: str, **kwargs) -> httpx.Response:
        token = await self.auth.get_token()
        kwargs.setdefault("headers", {}).update({"Authorization": f"Bearer {token}"})
        kwargs.setdefault("headers", {}).update({"Content-Type": "application/json"})
        response = await self.client.request(method, f"{self.base_url}{path}", **kwargs)
        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 5))
            await asyncio.sleep(retry_after)
            return await self._make_request(method, path, **kwargs)
        response.raise_for_status()
        return response

    async def query_interactions(self) -> AsyncGenerator[Dict[str, Any], None]:
        query_body = {
            "query": "type eq 'webmessaging' and state eq 'completed'",
            "size": 100,
            "fields": "id,type,messages,participants,startTime"
        }
        next_page = None
        while True:
            kwargs = {"json": query_body}
            if next_page:
                kwargs["params"] = {"nextPage": next_page}
            response = await self._make_request("POST", "/interactions/query", **kwargs)
            data = response.json()
            for item in data.get("items", []):
                yield item
            next_page = data.get("nextPage")
            if not next_page:
                break

    async def update_interaction_transcript(self, interaction_id: str, sanitized_messages: List[Dict[str, Any]]) -> Dict[str, Any]:
        payload = {"id": interaction_id, "messages": sanitized_messages}
        response = await self._make_request("PATCH", f"/interactions/{interaction_id}", json=payload)
        return response.json()

async def main():
    org = os.getenv("GENESYS_ORG_DOMAIN")
    cid = os.getenv("GENESYS_CLIENT_ID")
    cs = os.getenv("GENESYS_CLIENT_SECRET")
    if not all([org, cid, cs]):
        raise ValueError("Missing environment variables: GENESYS_ORG_DOMAIN, GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET")

    client = InteractionClient(org, cid, cs)
    processed_count = 0

    async for interaction in client.query_interactions():
        messages = interaction.get("messages", [])
        if not messages:
            continue

        for msg in messages:
            if "text" in msg:
                original = msg["text"]
                msg["text"] = redact_pii_in_text(original)
                if original != msg["text"]:
                    print(f"Redacted PII in interaction {interaction['id']}")

        await client.update_interaction_transcript(interaction["id"], messages)
        processed_count += 1

        if processed_count % 10 == 0:
            print(f"Processed {processed_count} interactions. Sleeping 1s to respect rate limits.")
            await asyncio.sleep(1)

    print(f"Completed. Total interactions processed: {processed_count}")
    await client.client.aclose()

if __name__ == "__main__":
    asyncio.run(main())

The script streams interactions through an async generator to minimize memory consumption. It applies redaction in place, patches the updated messages array, and enforces a one-second delay after every ten requests to prevent triggering platform rate limits. The aclose call releases the connection pool gracefully.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token has expired, the client credentials are incorrect, or the token request failed.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET match a confidential client in the Genesys Cloud admin console. Ensure the client is not disabled. Check that the get_token method receives a 200 response from /oauth/token.
• Code fix: Add explicit logging before the token request and validate the grant_type parameter matches client_credentials.

Error: 403 Forbidden

• Cause: The OAuth token lacks the interaction:read or interaction:write scope.
• Fix: Navigate to the API client configuration in Genesys Cloud and add both scopes. Regenerate the token after scope modification.
• Code fix: Print the decoded JWT payload to verify the scope claim contains the required permissions.

Error: 429 Too Many Requests

• Cause: The script exceeded the interaction query or update rate limit for the organization tier.
• Fix: The provided _make_request method reads the Retry-After header and sleeps before retrying. Increase the sleep interval in the main loop if cascading 429 responses occur.
• Code fix: Adjust await asyncio.sleep(1) to await asyncio.sleep(5) in the main processing loop. Monitor the X-RateLimit-Remaining response header to adapt pacing dynamically.

Error: 400 Bad Request

• Cause: The PATCH payload omits required interaction fields or contains malformed message objects.
• Fix: Ensure the messages array retains all original fields (id, type, from, to, timestamp, text). Do not remove system-generated message metadata.
• Code fix: Log the exact JSON payload before sending and compare it against the Genesys Cloud Interaction API schema documentation.

Official References

• Genesys Cloud Interaction API Query Endpoint
• Genesys Cloud Interaction API Update Endpoint
• Genesys Cloud OAuth2 Client Credentials Flow
• HTTPX Python Documentation
• Pydantic V2 Documentation