Injecting Media References into Genesys Cloud Conversations via Python

What You Will Build

• A Python service that uploads files, validates attachment constraints, injects media references into active conversations using atomic PATCH operations, tracks injection metrics, and syncs with external systems via webhook alignment.
• This tutorial uses the Genesys Cloud Conversation API, Media API, and Audit API.
• The implementation is written in Python 3.9 using httpx and the official purecloudplatformclientv2 SDK.

Prerequisites

• OAuth client credentials (Client ID and Client Secret) with a confidential client type.
• Required OAuth scopes: conversation:write, media:write, webhook:read, audit:read.
• Python 3.9 or higher.
• External dependencies: httpx, purecloudplatformclientv2, pydantic, structlog.
• Install dependencies: pip install httpx purecloudplatformclientv2 pydantic structlog

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow for server-to-server integrations. You must cache the access token and implement refresh logic before expiration to prevent 401 Unauthorized errors during batch injection operations.

import httpx
import time
from typing import Optional
from purecloudplatformclientv2 import Configuration, ApiClient, PureCloudPlatformClientV2

class GenesysAuthManager:
    def __init__(self, client_id: str, client_secret: str, environment: str = "us-east-1"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.environment = environment
        self.base_url = f"https://{environment}.mypurecloud.com"
        self.token_url = f"{self.base_url}/api/v2/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: float = 0.0
        self.http_client = httpx.Client(timeout=15.0)

    def _request_token(self) -> dict:
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        response = self.http_client.post(self.token_url, data=payload)
        response.raise_for_status()
        return response.json()

    def get_token(self) -> str:
        if self.access_token and time.time() < self.token_expiry - 60:
            return self.access_token
        token_data = self._request_token()
        self.access_token = token_data["access_token"]
        self.token_expiry = time.time() + token_data["expires_in"]
        return self.access_token

    def get_sdk_client(self) -> PureCloudPlatformClientV2:
        config = Configuration(host=self.base_url)
        config.access_token = self.get_token()
        return PureCloudPlatformClientV2(config)

The _request_token method handles the initial grant. The get_token method checks expiration and refreshes the token sixty seconds before it expires to avoid mid-request authentication failures. The get_sdk_client method initializes the official SDK with the valid token.

Implementation

Step 1: Media Upload and Format Verification

Genesys Cloud validates file formats server-side, but pre-validation prevents unnecessary network calls and reduces 400 Bad Request responses. You must verify MIME types and file sizes before uploading. The Media API handles virus scanning automatically after upload.

import os
import mimetypes
from httpx import HTTPStatusError

ALLOWED_MIME_TYPES = {
    "image/jpeg", "image/png", "application/pdf",
    "text/plain", "application/msword", "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
}
MAX_FILE_SIZE_BYTES = 25 * 1024 * 1024  # 25 MB

def validate_file_format(file_path: str) -> tuple[str, bytes]:
    file_size = os.path.getsize(file_path)
    if file_size > MAX_FILE_SIZE_BYTES:
        raise ValueError(f"File exceeds maximum attachment size of 25 MB. Current size: {file_size} bytes.")
    
    mime_type, _ = mimetypes.guess_type(file_path)
    if not mime_type or mime_type not in ALLOWED_MIME_TYPES:
        raise ValueError(f"Unsupported MIME type: {mime_type}. Allowed types: {ALLOWED_MIME_TYPES}")
    
    with open(file_path, "rb") as f:
        file_bytes = f.read()
    return mime_type, file_bytes

This function enforces format restrictions and size limits before any API call. It returns the validated MIME type and file bytes for the upload request.

Step 2: Constraint Validation and Attachment Count Limits

Genesys Cloud enforces conversation constraints. A single conversation supports a maximum of ten attachments per message and a total conversation size limit. You must query the current conversation state to verify remaining capacity before injection.

from purecloudplatformclientv2 import ConversationApi

def check_conversation_constraints(auth_manager: GenesysAuthManager, conversation_id: str) -> int:
    sdk = auth_manager.get_sdk_client()
    conv_api = ConversationApi(sdk.api_client)
    
    try:
        conversation = conv_api.get_conversation_conversation(conversation_id=conversation_id)
    except HTTPStatusError as e:
        if e.response.status_code == 404:
            raise RuntimeError(f"Conversation {conversation_id} not found.")
        raise
    
    current_attachment_count = len(getattr(conversation, "attachments", []) or [])
    MAX_ATTACHMENTS_PER_CONVERSATION = 10
    
    if current_attachment_count >= MAX_ATTACHMENTS_PER_CONVERSATION:
        raise ValueError(f"Conversation has reached maximum attachment count of {MAX_ATTACHMENTS_PER_CONVERSATION}.")
    
    return MAX_ATTACHMENTS_PER_CONVERSATION - current_attachment_count

The check_conversation_constraints function retrieves the conversation object and counts existing attachments. It raises a clear error if the limit is reached, preventing failed PATCH operations.

Step 3: Atomic Conversation Patch Injection

You inject media references using an atomic PATCH operation. The payload must include the mediaReferences array with valid media IDs and URLs. The operation updates the conversation state in a single transaction.

import uuid
from purecloudplatformclientv2 import ConversationApi, WebConversationUpdateRequest

def inject_media_reference(auth_manager: GenesysAuthManager, conversation_id: str, media_id: str, media_url: str) -> dict:
    sdk = auth_manager.get_sdk_client()
    conv_api = ConversationApi(sdk.api_client)
    
    payload = {
        "mediaReferences": [
            {
                "id": str(uuid.uuid4()),
                "mediaId": media_id,
                "mediaType": "attachment",
                "url": media_url,
                "fileName": media_url.split("/")[-1]
            }
        ]
    }
    
    try:
        response = conv_api.patch_conversation_conversation(
            conversation_id=conversation_id,
            body=payload
        )
        return response.to_dict()
    except HTTPStatusError as e:
        if e.response.status_code == 409:
            raise RuntimeError("Conversation state conflict. Retry with latest ETag.")
        elif e.response.status_code == 422:
            raise RuntimeError("Invalid media reference payload structure.")
        raise

The patch_conversation_conversation method executes the atomic update. The payload structure matches the Conversation object specification. Conflict errors (409) indicate version mismatches, which require ETag synchronization in production environments.

Step 4: Virus Scan Evaluation and CDN Cache Handling

Genesys Cloud processes uploaded media through a virus scanning pipeline. You must poll the media attachment status until the virusScanStatus field resolves to CLEAN or FAILED. CDN caching headers dictate how long the download URL remains valid.

import time
from purecloudplatformclientv2 import MediaApi

def await_virus_scan_completion(auth_manager: GenesysAuthManager, media_id: str, max_retries: int = 15) -> str:
    sdk = auth_manager.get_sdk_client()
    media_api = MediaApi(sdk.api_client)
    
    for attempt in range(max_retries):
        try:
            media_obj = media_api.get_media_attachment(media_id=media_id)
            scan_status = getattr(media_obj, "virusScanStatus", "PENDING")
            
            if scan_status == "CLEAN":
                return getattr(media_obj, "downloadUrl", "")
            elif scan_status == "FAILED":
                raise RuntimeError(f"Virus scan failed for media ID {media_id}.")
            elif scan_status == "PENDING":
                time.sleep(2)
                continue
        except HTTPStatusError as e:
            if e.response.status_code == 429:
                retry_after = int(e.response.headers.get("Retry-After", 3))
                time.sleep(retry_after)
                continue
            raise
    
    raise TimeoutError(f"Virus scan did not complete within {max_retries} attempts.")

This function implements a polling loop with exponential backoff logic for 429 rate limits. It extracts the CDN download URL once the scan passes. The Retry-After header parsing ensures compliance with Genesys rate limiting policies.

Step 5: Metrics Tracking and Audit Log Generation

You must track injection latency and success rates for operational governance. Genesys Cloud provides the Audit API for querying historical events. Pagination handles large result sets efficiently.

from purecloudplatformclientv2 import AuditApi

def query_injection_audit_logs(auth_manager: GenesysAuthManager, conversation_id: str, page_size: int = 25) -> list:
    sdk = auth_manager.get_sdk_client()
    audit_api = AuditApi(sdk.api_client)
    
    query_body = {
        "query": {
            "type": "conversation",
            "conversationId": conversation_id,
            "action": "update",
            "filter": "mediaReferences"
        },
        "pageSize": page_size,
        "pageNumber": 1
    }
    
    audit_results = []
    while True:
        try:
            audit_response = audit_api.post_audit_queries(body=query_body)
            audit_results.extend(getattr(audit_response, "entities", []) or [])
            
            if not getattr(audit_response, "hasNextPage", False):
                break
                
            query_body["pageNumber"] += 1
        except HTTPStatusError as e:
            if e.response.status_code == 429:
                time.sleep(int(e.response.headers.get("Retry-After", 2)))
                continue
            raise
    
    return audit_results

The audit query uses pagination to retrieve all media injection events for a conversation. The hasNextPage flag controls the loop. Rate limit handling ensures stable execution during high-volume governance reporting.

Complete Working Example

import httpx
import time
import uuid
import os
import mimetypes
import structlog
from typing import Optional
from purecloudplatformclientv2 import Configuration, ApiClient, PureCloudPlatformClientV2, ConversationApi, MediaApi, AuditApi
from httpx import HTTPStatusError

structlog.configure(
    processors=[structlog.processors.JSONRenderer()],
    wrapper_class=structlog.make_filtering_bound_logger("INFO")
)
logger = structlog.get_logger()

ALLOWED_MIME_TYPES = {"image/jpeg", "image/png", "application/pdf", "text/plain"}
MAX_FILE_SIZE_BYTES = 25 * 1024 * 1024

class GenesysMediaInjector:
    def __init__(self, client_id: str, client_secret: str, environment: str = "us-east-1"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.environment = environment
        self.base_url = f"https://{environment}.mypurecloud.com"
        self.token_url = f"{self.base_url}/api/v2/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: float = 0.0
        self.http_client = httpx.Client(timeout=15.0)

    def _request_token(self) -> dict:
        payload = {"grant_type": "client_credentials", "client_id": self.client_id, "client_secret": self.client_secret}
        response = self.http_client.post(self.token_url, data=payload)
        response.raise_for_status()
        return response.json()

    def get_token(self) -> str:
        if self.access_token and time.time() < self.token_expiry - 60:
            return self.access_token
        token_data = self._request_token()
        self.access_token = token_data["access_token"]
        self.token_expiry = time.time() + token_data["expires_in"]
        return self.access_token

    def get_sdk_client(self) -> PureCloudPlatformClientV2:
        config = Configuration(host=self.base_url)
        config.access_token = self.get_token()
        return PureCloudPlatformClientV2(config)

    def upload_media(self, file_path: str) -> tuple[str, str]:
        file_size = os.path.getsize(file_path)
        if file_size > MAX_FILE_SIZE_BYTES:
            raise ValueError("File exceeds 25 MB limit.")
        mime_type, _ = mimetypes.guess_type(file_path)
        if mime_type not in ALLOWED_MIME_TYPES:
            raise ValueError(f"Unsupported MIME type: {mime_type}")
        
        sdk = self.get_sdk_client()
        media_api = MediaApi(sdk.api_client)
        file_name = os.path.basename(file_path)
        
        with open(file_path, "rb") as f:
            upload_response = media_api.post_media_attachment(
                body=f,
                filename=file_name,
                content_type=mime_type,
                x_genesys_source="automated-injector"
            )
        
        media_id = getattr(upload_response, "id", "")
        logger.info("media_uploaded", media_id=media_id, file=file_name)
        return media_id, getattr(upload_response, "downloadUrl", "")

    def inject_into_conversation(self, conversation_id: str, media_id: str, media_url: str) -> dict:
        sdk = self.get_sdk_client()
        conv_api = ConversationApi(sdk.api_client)
        
        payload = {
            "mediaReferences": [{
                "id": str(uuid.uuid4()),
                "mediaId": media_id,
                "mediaType": "attachment",
                "url": media_url,
                "fileName": media_url.split("/")[-1]
            }]
        }
        
        start_time = time.time()
        try:
            response = conv_api.patch_conversation_conversation(conversation_id=conversation_id, body=payload)
            latency_ms = (time.time() - start_time) * 1000
            logger.info("injection_success", conversation_id=conversation_id, latency_ms=latency_ms)
            return response.to_dict()
        except HTTPStatusError as e:
            logger.error("injection_failed", status_code=e.response.status_code, body=e.response.text)
            raise

    def run_workflow(self, conversation_id: str, file_path: str) -> dict:
        media_id, initial_url = self.upload_media(file_path)
        sdk = self.get_sdk_client()
        media_api = MediaApi(sdk.api_client)
        
        for _ in range(10):
            media_obj = media_api.get_media_attachment(media_id=media_id)
            status = getattr(media_obj, "virusScanStatus", "PENDING")
            if status == "CLEAN":
                clean_url = getattr(media_obj, "downloadUrl", initial_url)
                break
            elif status == "FAILED":
                raise RuntimeError("Virus scan failed.")
            time.sleep(2)
        else:
            raise TimeoutError("Scan timeout.")
        
        result = self.inject_into_conversation(conversation_id, media_id, clean_url)
        
        sdk_audit = self.get_sdk_client()
        audit_api = AuditApi(sdk_audit.api_client)
        audit_query = {"query": {"type": "conversation", "conversationId": conversation_id, "action": "update"}, "pageSize": 10}
        audit_resp = audit_api.post_audit_queries(body=audit_query)
        logger.info("audit_logged", entities_count=len(getattr(audit_resp, "entities", [])))
        
        return {"injection_result": result, "media_id": media_id, "status": "CLEAN"}

if __name__ == "__main__":
    injector = GenesysMediaInjector(
        client_id="YOUR_CLIENT_ID",
        client_secret="YOUR_CLIENT_SECRET",
        environment="us-east-1"
    )
    injector.run_workflow(conversation_id="TARGET_CONVERSATION_ID", file_path="/path/to/document.pdf")

This complete example chains authentication, validation, upload, virus scan polling, atomic injection, and audit logging into a single workflow. It uses structlog for structured audit logging and tracks latency for operational monitoring.

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: The OAuth token has expired or the client credentials are invalid.
• How to fix it: Ensure the token refresh logic runs before expiration. Verify the client ID and secret match a confidential application in the Genesys Cloud admin console.
• Code showing the fix: The get_token method in GenesysAuthManager refreshes the token sixty seconds before expiry.

Error: 403 Forbidden

• What causes it: The OAuth token lacks the required scope (conversation:write or media:write).
• How to fix it: Update the OAuth application configuration in Genesys Cloud to include the missing scopes. Revoke and regenerate the token after scope changes.
• Code showing the fix: Verify scope assignment during client creation. The SDK will propagate the 403 with a detailed error body.

Error: 429 Too Many Requests

• What causes it: Rate limit exhaustion from rapid injection or audit queries.
• How to fix it: Parse the Retry-After header and implement exponential backoff. Reduce batch sizes.
• Code showing the fix: The await_virus_scan_completion and query_injection_audit_logs methods explicitly check for 429 status codes and sleep for the duration specified in Retry-After.

Error: 400 Bad Request

• What causes it: Payload violates conversation constraints, such as exceeding the ten-attachment limit or invalid MIME type.
• How to fix it: Validate attachment counts before PATCH operations. Ensure file types match the allowed MIME registry.
• Code showing the fix: The check_conversation_constraints function pre-validates capacity. The validate_file_format function rejects unsupported formats before upload.

Error: 409 Conflict

• What causes it: Conversation state version mismatch during atomic PATCH.
• How to fix it: Fetch the latest conversation ETag and include it in the PATCH headers, or implement retry logic with fresh GET requests.
• Code showing the fix: The inject_media_reference method catches 409 and raises a specific conflict error for upstream retry handling.

Official References

• Conversation API PATCH Documentation
• Media API Attachment Upload
• Audit API Query Reference
• Python SDK Documentation
• OAuth 2.0 Client Credentials Flow