Reading and Writing Participant Attributes During a Live Voice Call
What You Will Build
- One sentence: The code connects to an active Genesys Cloud voice interaction, retrieves the current participant attributes, merges them with data from an external database, and writes the updated attributes back to the live session.
- One sentence: This tutorial uses the Genesys Cloud CX Interactions API (
/api/v2/interactions) and the PythongenesyscloudSDK. - One sentence: The programming language covered is Python 3.9+.
Prerequisites
- OAuth Client Type: Confidential Client (Client Credentials Flow).
- Required Scopes:
interaction:participant:readinteraction:participant:writeinteraction:voice:read(optional, for verifying media state)
- SDK Version:
genesyscloud>= 150.0.0. - Language/Runtime: Python 3.9 or higher.
- External Dependencies:
genesyscloud: The official Genesys Cloud Python SDK.requests: For simulating the external system call.
Authentication Setup
Genesys Cloud uses OAuth 2.0 Client Credentials Flow for server-to-server integrations. You must configure a confidential client in the Genesys Cloud Admin Console with the specific scopes listed above.
The following Python snippet demonstrates how to initialize the SDK with authentication. This setup handles token acquisition automatically.
import os
from genesyscloud import Configuration, PlatformClient
from genesyscloud.rest import ApiException
def init_genesys_client() -> PlatformClient:
"""
Initializes the Genesys Cloud Platform Client using environment variables.
Returns:
PlatformClient: Authenticated client instance.
"""
# Load credentials from environment variables for security
client_id = os.getenv("GENESYS_CLIENT_ID")
client_secret = os.getenv("GENESYS_CLIENT_SECRET")
base_url = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")
if not client_id or not client_secret:
raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set.")
# Configure the SDK
config = Configuration()
config.client_id = client_id
config.client_secret = client_secret
config.host = base_url
# Initialize the platform client
client = PlatformClient(config)
# Verify connectivity by fetching the current user identity (optional but recommended for debugging)
try:
# This requires 'user:me:read' scope, add if you want to verify auth fully
# client.identity_me_get()
pass
except ApiException as e:
# If this fails, check your scopes and credentials
print(f"Authentication check failed: {e}")
return client
Implementation
Step 1: Retrieve the Interaction and Participant Details
To modify attributes, you first need the interactionId and the specific participantId. In a live environment, these are typically passed via a webhook, CTI event, or retrieved via the Interaction Search API.
For this tutorial, we assume you have the interactionId. We will fetch the full interaction object to identify the participant representing the external system or the agent.
Endpoint: GET /api/v2/interactions/{interactionId}
Scope: interaction:participant:read
from genesyscloud import InteractionApi
from genesyscloud.model_utils import ModelNormal
def get_interaction_details(client: PlatformClient, interaction_id: str) -> dict:
"""
Fetches the full interaction object including participants.
Args:
client: Authenticated PlatformClient.
interaction_id: The UUID of the live interaction.
Returns:
dict: The interaction object containing participants.
"""
interaction_api = InteractionApi(client)
try:
# Fetch the interaction
response = interaction_api.get_interaction(interaction_id)
if response.body is None:
raise ValueError("Interaction not found or returned empty body.")
return response.body
except ApiException as e:
if e.status == 404:
print(f"Interaction {interaction_id} not found.")
elif e.status == 403:
print("Forbidden: Check 'interaction:participant:read' scope.")
else:
print(f"API Error: {e.status} - {e.reason}")
raise
Step 2: Identify the Target Participant and Read Current Attributes
Interactions can have multiple participants (e.g., Agent, Customer, Supervisor). You must identify which participant to update. Usually, you target the participant with a specific type (e.g., “agent” or “customer”) or a specific externalId.
In this example, we will find the participant of type “agent” and read their current attributes.
def find_agent_participant(interaction_obj: ModelNormal) -> dict:
"""
Identifies the agent participant in the interaction.
Args:
interaction_obj: The interaction object returned from Genesys.
Returns:
dict: The participant object for the agent.
"""
if not interaction_obj.participants:
raise ValueError("No participants found in interaction.")
for participant in interaction_obj.participants:
# Check if this participant is an agent
if participant.type == "agent":
return participant
raise ValueError("No agent participant found in this interaction.")
Step 3: Fetch Data from External System and Merge Attributes
This is the core logic. You read the current attributes from the participant, fetch new data from your external CRM or database, and merge them.
Critical Note: Genesys Cloud attributes are key-value pairs. The keys must be strings, and values can be strings, numbers, booleans, or simple objects. Complex nested structures are supported but must be JSON-serializable.
import requests
def fetch_external_data(customer_phone_number: str) -> dict:
"""
Simulates fetching data from an external CRM.
Args:
customer_phone_number: The phone number of the customer.
Returns:
dict: Data to be added to participant attributes.
"""
# In a real scenario, this would be a call to Salesforce, Zendesk, or a local DB
# Example: GET https://crm.example.com/api/contacts?phone={customer_phone_number}
# Simulated response
return {
"crm_last_purchase_date": "2023-10-15",
"crm_loyalty_tier": "Gold",
"crm_open_tickets": 2,
"internal_risk_score": 0.85
}
def merge_attributes(current_attributes: dict, external_data: dict) -> dict:
"""
Merges external data into existing participant attributes.
Handles deep merging for nested objects if necessary.
Args:
current_attributes: Existing attributes from Genesys.
external_data: New data from external system.
Returns:
dict: Merged attributes dictionary.
"""
if current_attributes is None:
current_attributes = {}
# Simple shallow merge for this example
# For production, consider using a library like 'deepmerge' if nested objects exist
merged = current_attributes.copy()
merged.update(external_data)
return merged
Step 4: Write Updated Attributes Back to Genesys Cloud
To update participant attributes, you use the PATCH method on the interaction endpoint. You must send the participantId and the new attributes object.
Endpoint: PATCH /api/v2/interactions/{interactionId}
Scope: interaction:participant:write
Important: The PATCH body must include the participants array with the specific participant you want to update. You do not need to send the entire interaction object, only the participant(s) being modified.
from genesyscloud.models import PatchInteraction
def update_participant_attributes(client: PlatformClient, interaction_id: str, participant_id: str, new_attributes: dict) -> bool:
"""
Updates the attributes of a specific participant in a live interaction.
Args:
client: Authenticated PlatformClient.
interaction_id: The UUID of the interaction.
participant_id: The UUID of the participant to update.
new_attributes: Dictionary of attributes to set.
Returns:
bool: True if update was successful.
"""
interaction_api = InteractionApi(client)
# Construct the patch body
# The SDK model PatchInteraction expects a list of participants to update
patch_body = PatchInteraction(
participants=[
{
"id": participant_id,
"attributes": new_attributes
}
]
)
try:
# Execute the PATCH request
response = interaction_api.patch_interaction(
interaction_id=interaction_id,
body=patch_body
)
# Check for success (204 No Content is typical for successful PATCH in Genesys)
if response.status == 204 or response.status == 200:
print(f"Successfully updated attributes for participant {participant_id}")
return True
else:
print(f"Unexpected status code: {response.status}")
return False
except ApiException as e:
if e.status == 409:
print("Conflict: The interaction may have changed since you read it. Retry with latest version.")
elif e.status == 422:
print(f"Unprocessable Entity: Invalid attribute format. Details: {e.body}")
elif e.status == 403:
print("Forbidden: Check 'interaction:participant:write' scope.")
else:
print(f"API Error: {e.status} - {e.reason}")
raise
Complete Working Example
This script combines all steps into a single runnable module. It assumes you have environment variables set for GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, and GENESYS_BASE_URL.
import os
import sys
import json
from genesyscloud import Configuration, PlatformClient
from genesyscloud.rest import ApiException
from genesyscloud.models import PatchInteraction
# --- Configuration ---
def init_client() -> PlatformClient:
config = Configuration()
config.client_id = os.getenv("GENESYS_CLIENT_ID")
config.client_secret = os.getenv("GENESYS_CLIENT_SECRET")
config.host = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")
return PlatformClient(config)
# --- Logic ---
def fetch_external_crm_data(phone_number: str) -> dict:
"""Simulates external CRM lookup."""
# Replace with actual HTTP call to your CRM
return {
"crm_customer_id": "CUST-99283",
"crm_lifetime_value": 15000.50,
"crm_support_priority": "High"
}
def run_attribute_sync(interaction_id: str):
"""
Main orchestration function to sync external data to a live Genesys interaction.
"""
client = init_client()
interaction_api = client.get_api_by_name("InteractionApi")
print(f"Starting sync for Interaction ID: {interaction_id}")
# Step 1: Get Interaction Details
try:
interaction = interaction_api.get_interaction(interaction_id)
except ApiException as e:
print(f"Failed to get interaction: {e}")
return
if not interaction.body or not interaction.body.participants:
print("No participants found in interaction.")
return
# Step 2: Identify the Agent Participant
agent_participant = None
customer_phone = None
for p in interaction.body.participants:
if p.type == "agent":
agent_participant = p
elif p.type == "customer":
# Extract phone number from customer address if available
if p.addresses:
for addr in p.addresses:
if addr.type == "phone":
customer_phone = addr.uri
break
if not agent_participant:
print("No agent participant found.")
return
print(f"Found Agent Participant ID: {agent_participant.id}")
# Step 3: Read Current Attributes
current_attrs = agent_participant.attributes if agent_participant.attributes else {}
print(f"Current Agent Attributes: {json.dumps(current_attrs, indent=2)}")
# Step 4: Fetch External Data
if not customer_phone:
print("Warning: No customer phone number found to fetch CRM data.")
external_data = {}
else:
print(f"Fetching CRM data for {customer_phone}")
external_data = fetch_external_crm_data(customer_phone)
print(f"Fetched External Data: {json.dumps(external_data, indent=2)}")
# Step 5: Merge Attributes
merged_attrs = {**current_attrs, **external_data}
# Add a timestamp to track when this sync happened
from datetime import datetime
merged_attrs["last_synced_at"] = datetime.utcnow().isoformat()
print(f"Merged Attributes to Write: {json.dumps(merged_attrs, indent=2)}")
# Step 6: Write Back to Genesys
try:
patch_body = PatchInteraction(
participants=[
{
"id": agent_participant.id,
"attributes": merged_attrs
}
]
)
response = interaction_api.patch_interaction(
interaction_id=interaction_id,
body=patch_body
)
print(f"Update successful. Status: {response.status}")
except ApiException as e:
print(f"Failed to update attributes: {e.status} - {e.reason}")
if e.body:
print(f"Error Details: {e.body}")
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: python sync_attrs.py <interaction_id>")
sys.exit(1)
target_interaction_id = sys.argv[1]
run_attribute_sync(target_interaction_id)
Common Errors & Debugging
Error: 403 Forbidden
- Cause: The OAuth client lacks the required scope.
- Fix: Ensure the client has
interaction:participant:write. Read-only scopes (interaction:participant:read) will allow you to fetch the interaction but fail on the PATCH request. - Code Check: Verify the
config.client_idandconfig.client_secretmatch the client configured in the Genesys Admin Console.
Error: 409 Conflict
- Cause: Optimistic locking. The interaction state changed between the time you read it and the time you tried to write.
- Fix: Implement a retry loop. Re-fetch the interaction, re-read the current attributes, re-merge, and try the PATCH again.
- Code Example:
import time def update_with_retry(client, interaction_id, participant_id, new_attrs, max_retries=3): for attempt in range(max_retries): try: # ... patch logic ... return True except ApiException as e: if e.status == 409 and attempt < max_retries - 1: print(f"Conflict detected. Retrying in {1**attempt} seconds...") time.sleep(1**attempt) # Re-fetch current state before retrying # ... re-fetch logic ... else: raise
Error: 422 Unprocessable Entity
- Cause: Invalid attribute format. Genesys Cloud requires attribute keys to be strings and values to be JSON-serializable primitives or simple objects.
- Fix: Validate your
merged_attrsdictionary. Ensure no circular references or complex Python objects (like custom classes) are included. - Debug: Print
json.dumps(merged_attrs)before sending. If this fails, the data is not serializable.
Error: 404 Not Found
- Cause: The
interactionIdis invalid or the interaction has ended and been archived/purged. - Fix: Verify the interaction is active. Live interactions are available via
/api/v2/interactions. Archived interactions require the Analytics API or Archive API.