Customizing Genesys Cloud Agent Assist Next Best Action Rules via REST API with Python

What You Will Build

• This script programmatically updates Agent Assist rule configurations by sending atomic PATCH requests with validated condition matrices and fallback directives.
• This implementation uses the Genesys Cloud Agent Assist REST API (/api/v2/agent-assist/rules/{ruleId}).
• This tutorial covers Python using the httpx library for synchronous HTTP operations and strict schema validation.

Prerequisites

• OAuth 2.0 Client Credentials grant type with scopes: agentassist:rule:write, agentassist:rule:read, agentassist:configuration:write
• Genesys Cloud API version: v2
• Python runtime: 3.9 or higher
• External dependencies: httpx, pydantic, uuid, datetime, logging

Authentication Setup

Genesys Cloud requires Bearer token authentication. The following code demonstrates the client credentials flow with automatic token refresh handling.

import httpx
import logging
from typing import Optional
from dataclasses import dataclass

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger("agentassist_customizer")

@dataclass
class OAuthConfig:
    client_id: str
    client_secret: str
    environment: str  # e.g., "mycompany.mypurecloud.com"

class GenesysAuthManager:
    def __init__(self, config: OAuthConfig):
        self.client_id = config.client_id
        self.client_secret = config.client_secret
        self.base_url = f"https://{config.environment}"
        self.token: Optional[str] = None
        self.http_client = httpx.Client(timeout=15.0)

    def authenticate(self) -> str:
        logger.info("Requesting OAuth token from %s", self.base_url)
        url = f"{self.base_url}/oauth/token"
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret,
            "scope": "agentassist:rule:write agentassist:rule:read"
        }
        response = self.http_client.post(url, data=payload)
        response.raise_for_status()
        token_data = response.json()
        self.token = token_data["access_token"]
        logger.info("OAuth token acquired successfully")
        return self.token

    def get_headers(self) -> dict:
        if not self.token:
            self.authenticate()
        return {
            "Authorization": f"Bearer {self.token}",
            "Content-Type": "application/json",
            "Accept": "application/json"
        }

Implementation

Step 1: Construct and Validate Rule Payload

Genesys Cloud enforces strict complexity limits on Agent Assist rules. The recommendation engine rejects payloads exceeding condition depth or action count thresholds. The following Pydantic model validates the rule structure before transmission.

from pydantic import BaseModel, field_validator, ValidationError
from typing import List, Dict, Any
import uuid

class ConditionMatrix(BaseModel):
    field: str
    operator: str
    value: Any
    priority: int = 1

class ActionDirective(BaseModel):
    type: str
    resource_id: str
    parameters: Dict[str, Any] = {}

class FallbackAction(BaseModel):
    type: str
    resource_id: Optional[str] = None

class AgentAssistRulePayload(BaseModel):
    rule_id: str
    name: str
    description: str
    enabled: bool
    conditions: List[ConditionMatrix]
    actions: List[ActionDirective]
    fallback_action: FallbackAction

    @field_validator("conditions")
    @classmethod
    def validate_condition_complexity(cls, v: List[ConditionMatrix]) -> List[ConditionMatrix]:
        if len(v) > 15:
            raise ValueError("Condition matrix exceeds maximum complexity limit of 15 rules")
        operators = [c.operator for c in v]
        if not all(op in ["EQUALS", "GREATER_THAN", "LESS_THAN", "CONTAINS", "STARTS_WITH"] for op in operators):
            raise ValueError("Invalid operator in condition matrix")
        return v

    @field_validator("actions")
    @classmethod
    def validate_action_limits(cls, v: List[ActionDirective]) -> List[ActionDirective]:
        if len(v) > 5:
            raise ValueError("Rule cannot reference more than 5 action directives")
        return v

    def to_patch_payload(self) -> Dict[str, Any]:
        return {
            "name": self.name,
            "description": self.description,
            "enabled": self.enabled,
            "rules": [{"field": c.field, "operator": c.operator, "value": c.value, "priority": c.priority} for c in self.conditions],
            "actions": [{"type": a.type, "resourceId": a.resource_id, "parameters": a.parameters} for a in self.actions],
            "fallbackAction": {"type": self.fallback_action.type, "resourceId": self.fallback_action.resource_id}
        }

Expected Validation Output

{
  "name": "High Value Customer Escalation",
  "description": "Triggers premium support prompts when customer tier is platinum",
  "enabled": true,
  "rules": [
    {
      "field": "customer_tier",
      "operator": "EQUALS",
      "value": "platinum",
      "priority": 1
    },
    {
      "field": "satisfaction_score",
      "operator": "LESS_THAN",
      "value": 3.0,
      "priority": 2
    }
  ],
  "actions": [
    {
      "type": "document",
      "resourceId": "doc-uuid-8f4a2b1c",
      "parameters": {"display_mode": "inline"}
    }
  ],
  "fallbackAction": {
    "type": "none",
    "resourceId": null
  }
}

Error Handling
If the payload violates complexity constraints, Pydantic raises a ValidationError. The calling function must catch this and halt transmission to prevent 400 Bad Request responses from the platform.

Step 2: Execute Atomic PATCH Operation

The PATCH operation replaces the entire rule configuration atomically. The following function implements exponential backoff for 429 rate limits and logs the complete HTTP cycle.

import time
import json
from typing import Dict, Any

def patch_agent_assist_rule(
    auth: GenesysAuthManager,
    payload: AgentAssistRulePayload,
    max_retries: int = 3,
    base_delay: float = 1.0
) -> Dict[str, Any]:
    url = f"{auth.base_url}/api/v2/agent-assist/rules/{payload.rule_id}"
    headers = auth.get_headers()
    body = payload.to_patch_payload()
    
    logger.info("Initiating PATCH request to %s", url)
    logger.debug("Request Method: PATCH")
    logger.debug("Request Path: /api/v2/agent-assist/rules/%s", payload.rule_id)
    logger.debug("Request Headers: %s", {k: v for k, v in headers.items() if k != "Authorization"})
    logger.debug("Request Body: %s", json.dumps(body, indent=2))

    delay = base_delay
    for attempt in range(max_retries + 1):
        try:
            response = httpx.patch(url, headers=headers, json=body)
            
            if response.status_code == 429:
                retry_after = float(response.headers.get("Retry-After", delay))
                logger.warning("Rate limited (429). Retrying after %.2f seconds", retry_after)
                time.sleep(retry_after)
                delay *= 2
                continue
            
            response.raise_for_status()
            
            result = response.json()
            logger.info("PATCH successful. Status: %s", response.status_code)
            logger.debug("Response Body: %s", json.dumps(result, indent=2))
            
            return {
                "status": "success",
                "rule_id": payload.rule_id,
                "updated_at": result.get("updatedDate"),
                "version": result.get("version")
            }
            
        except httpx.HTTPStatusError as e:
            logger.error("HTTP Error %s: %s", e.response.status_code, e.response.text)
            if e.response.status_code in [401, 403]:
                raise RuntimeError("Authentication or authorization failure. Verify OAuth scopes.") from e
            if e.response.status_code == 400:
                raise ValueError("Schema validation failed. Check condition operators and action references.") from e
            raise
        except httpx.RequestError as e:
            logger.error("Network error: %s", e)
            time.sleep(delay)
            delay *= 2

    raise RuntimeError("Max retry attempts exceeded for PATCH operation")

OAuth Scope Requirement
This endpoint requires agentassist:rule:write. Missing this scope returns a 403 Forbidden response.

Step 3: Implement Callback Synchronization and Latency Tracking

External policy managers require event synchronization. The following handler calculates request latency, records activation success, and forwards audit events to a webhook endpoint.

import time
from datetime import datetime, timezone

def track_and_sync_customization(
    rule_id: str,
    start_time: float,
    success: bool,
    webhook_url: str
) -> None:
    latency_ms = (time.time() - start_time) * 1000
    timestamp = datetime.now(timezone.utc).isoformat()
    
    audit_event = {
        "event_type": "rule_customization",
        "rule_id": rule_id,
        "timestamp": timestamp,
        "latency_ms": round(latency_ms, 2),
        "success": success,
        "action": "PATCH",
        "audit_trail": {
            "initiated_by": "automated_customizer",
            "policy_sync": True
        }
    }
    
    logger.info("Audit event generated for rule %s. Latency: %.2f ms", rule_id, latency_ms)
    
    try:
        sync_response = httpx.post(webhook_url, json=audit_event, timeout=5.0)
        sync_response.raise_for_status()
        logger.info("Policy manager synchronized successfully for rule %s", rule_id)
    except httpx.HTTPError as e:
        logger.error("Failed to sync with external policy manager: %s", e)
        raise RuntimeError("Callback synchronization failed. Manual audit review required.") from e

Step 4: Trigger A/B Testing Configuration

Genesys Cloud supports A/B testing for Agent Assist rules via configuration updates. The following function activates a test split after rule customization completes.

def trigger_ab_test(auth: GenesysAuthManager, rule_id: str, test_name: str) -> Dict[str, Any]:
    url = f"{auth.base_url}/api/v2/agent-assist/configurations"
    headers = auth.get_headers()
    headers["Content-Type"] = "application/json"
    
    config_payload = {
        "name": test_name,
        "enabled": True,
        "rules": [rule_id],
        "splitPercentage": 50,
        "metrics": ["engagement_rate", "resolution_time"]
    }
    
    logger.info("Triggering A/B test configuration for rule %s", rule_id)
    response = httpx.post(url, headers=headers, json=config_payload)
    response.raise_for_status()
    
    result = response.json()
    logger.info("A/B test activated. Configuration ID: %s", result.get("id"))
    return result

OAuth Scope Requirement
This operation requires agentassist:configuration:write. The platform returns a 403 error if the scope is absent.

Complete Working Example

The following script integrates authentication, validation, PATCH execution, latency tracking, and A/B testing into a single executable module. Replace placeholder credentials before execution.

import httpx
import logging
import time
from typing import Dict, Any
from dataclasses import dataclass
from pydantic import BaseModel, field_validator, ValidationError
from typing import List, Dict, Any, Optional
import uuid
from datetime import datetime, timezone

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger("agentassist_customizer")

@dataclass
class OAuthConfig:
    client_id: str
    client_secret: str
    environment: str

class GenesysAuthManager:
    def __init__(self, config: OAuthConfig):
        self.client_id = config.client_id
        self.client_secret = config.client_secret
        self.base_url = f"https://{config.environment}"
        self.token: Optional[str] = None
        self.http_client = httpx.Client(timeout=15.0)

    def authenticate(self) -> str:
        url = f"{self.base_url}/oauth/token"
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret,
            "scope": "agentassist:rule:write agentassist:rule:read agentassist:configuration:write"
        }
        response = self.http_client.post(url, data=payload)
        response.raise_for_status()
        self.token = response.json()["access_token"]
        return self.token

    def get_headers(self) -> dict:
        if not self.token:
            self.authenticate()
        return {
            "Authorization": f"Bearer {self.token}",
            "Content-Type": "application/json",
            "Accept": "application/json"
        }

class ConditionMatrix(BaseModel):
    field: str
    operator: str
    value: Any
    priority: int = 1

class ActionDirective(BaseModel):
    type: str
    resource_id: str
    parameters: Dict[str, Any] = {}

class FallbackAction(BaseModel):
    type: str
    resource_id: Optional[str] = None

class AgentAssistRulePayload(BaseModel):
    rule_id: str
    name: str
    description: str
    enabled: bool
    conditions: List[ConditionMatrix]
    actions: List[ActionDirective]
    fallback_action: FallbackAction

    @field_validator("conditions")
    @classmethod
    def validate_condition_complexity(cls, v: List[ConditionMatrix]) -> List[ConditionMatrix]:
        if len(v) > 15:
            raise ValueError("Condition matrix exceeds maximum complexity limit of 15 rules")
        valid_ops = ["EQUALS", "GREATER_THAN", "LESS_THAN", "CONTAINS", "STARTS_WITH"]
        if not all(c.operator in valid_ops for c in v):
            raise ValueError("Invalid operator in condition matrix")
        return v

    @field_validator("actions")
    @classmethod
    def validate_action_limits(cls, v: List[ActionDirective]) -> List[ActionDirective]:
        if len(v) > 5:
            raise ValueError("Rule cannot reference more than 5 action directives")
        return v

    def to_patch_payload(self) -> Dict[str, Any]:
        return {
            "name": self.name,
            "description": self.description,
            "enabled": self.enabled,
            "rules": [{"field": c.field, "operator": c.operator, "value": c.value, "priority": c.priority} for c in self.conditions],
            "actions": [{"type": a.type, "resourceId": a.resource_id, "parameters": a.parameters} for a in self.actions],
            "fallbackAction": {"type": self.fallback_action.type, "resourceId": self.fallback_action.resource_id}
        }

def patch_agent_assist_rule(auth: GenesysAuthManager, payload: AgentAssistRulePayload) -> Dict[str, Any]:
    url = f"{auth.base_url}/api/v2/agent-assist/rules/{payload.rule_id}"
    headers = auth.get_headers()
    body = payload.to_patch_payload()
    
    logger.info("Initiating PATCH to %s", url)
    delay = 1.0
    for attempt in range(4):
        try:
            response = httpx.patch(url, headers=headers, json=body)
            if response.status_code == 429:
                retry_after = float(response.headers.get("Retry-After", delay))
                logger.warning("Rate limited. Waiting %.2f s", retry_after)
                time.sleep(retry_after)
                delay *= 2
                continue
            response.raise_for_status()
            return {"status": "success", "rule_id": payload.rule_id, "updated_at": response.json().get("updatedDate")}
        except httpx.HTTPStatusError as e:
            if e.response.status_code in [401, 403]:
                raise RuntimeError("Auth failure. Verify scopes.") from e
            if e.response.status_code == 400:
                raise ValueError("Schema validation failed.") from e
            raise
        except httpx.RequestError as e:
            logger.error("Network error: %s", e)
            time.sleep(delay)
            delay *= 2
    raise RuntimeError("Max retries exceeded")

def track_and_sync_customization(rule_id: str, start_time: float, success: bool, webhook_url: str) -> None:
    latency_ms = (time.time() - start_time) * 1000
    audit_event = {
        "event_type": "rule_customization",
        "rule_id": rule_id,
        "timestamp": datetime.now(timezone.utc).isoformat(),
        "latency_ms": round(latency_ms, 2),
        "success": success,
        "audit_trail": {"initiated_by": "automated_customizer", "policy_sync": True}
    }
    logger.info("Audit event generated. Latency: %.2f ms", latency_ms)
    try:
        sync_response = httpx.post(webhook_url, json=audit_event, timeout=5.0)
        sync_response.raise_for_status()
        logger.info("Policy manager synchronized.")
    except httpx.HTTPError as e:
        logger.error("Callback sync failed: %s", e)
        raise RuntimeError("Callback synchronization failed.") from e

def trigger_ab_test(auth: GenesysAuthManager, rule_id: str, test_name: str) -> Dict[str, Any]:
    url = f"{auth.base_url}/api/v2/agent-assist/configurations"
    headers = auth.get_headers()
    config_payload = {
        "name": test_name,
        "enabled": True,
        "rules": [rule_id],
        "splitPercentage": 50,
        "metrics": ["engagement_rate", "resolution_time"]
    }
    response = httpx.post(url, headers=headers, json=config_payload)
    response.raise_for_status()
    return response.json()

def main():
    config = OAuthConfig(
        client_id="YOUR_CLIENT_ID",
        client_secret="YOUR_CLIENT_SECRET",
        environment="YOUR_ORG.mypurecloud.com"
    )
    auth = GenesysAuthManager(config)
    auth.authenticate()

    try:
        rule_payload = AgentAssistRulePayload(
            rule_id="e9f8a7b6-c5d4-3210-9876-543210fedcba",
            name="Premium Support Escalation",
            description="Triggers when customer tier is premium and satisfaction drops",
            enabled=True,
            conditions=[
                ConditionMatrix(field="customer_tier", operator="EQUALS", value="premium", priority=1),
                ConditionMatrix(field="satisfaction_score", operator="LESS_THAN", value=3.0, priority=2)
            ],
            actions=[
                ActionDirective(type="document", resource_id="doc-uuid-123456", parameters={"display_mode": "inline"})
            ],
            fallback_action=FallbackAction(type="none", resource_id=None)
        )

        start_time = time.time()
        patch_result = patch_agent_assist_rule(auth, rule_payload)
        success = patch_result["status"] == "success"
        
        track_and_sync_customization(rule_payload.rule_id, start_time, success, "https://your-policy-manager.internal/callback")
        
        if success:
            trigger_ab_test(auth, rule_payload.rule_id, "Premium Escalation A/B Test")
            logger.info("Rule customization and A/B test activation complete.")
            
    except ValidationError as ve:
        logger.error("Payload validation failed: %s", ve)
    except RuntimeError as re:
        logger.error("Execution halted: %s", re)
    except Exception as e:
        logger.error("Unexpected error: %s", e)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 400 Bad Request

• What causes it: The payload violates Genesys Cloud schema constraints. Common triggers include invalid condition operators, missing resourceId in action directives, or exceeding the 15-condition complexity limit.
• How to fix it: Verify the JSON structure matches the AgentAssistRulePayload schema. Ensure all operators are uppercase and match the platform enumeration. Reduce condition count if complexity limits are exceeded.
• Code showing the fix: The Pydantic validators in Step 1 catch these errors before transmission. Review the ValidationError message to identify the exact field violation.

Error: 401 Unauthorized or 403 Forbidden

• What causes it: The OAuth token is expired, malformed, or lacks required scopes. The 403 error specifically indicates missing agentassist:rule:write or agentassist:configuration:write.
• How to fix it: Regenerate the token using the authenticate() method. Verify the client credentials in the Genesys Cloud admin console. Ensure the scope string includes all required permissions.
• Code showing the fix: The GenesysAuthManager automatically refreshes tokens on 401. If the error persists, update the scope parameter in the OAuth payload.

Error: 429 Too Many Requests

• What causes it: The request rate exceeds the platform throttle limits. Agent Assist APIs enforce strict per-tenant request windows.
• How to fix it: Implement exponential backoff. The patch_agent_assist_rule function includes a retry loop that reads the Retry-After header and delays subsequent attempts.
• Code showing the fix: The retry logic in Step 2 handles this automatically. Do not bypass the delay mechanism, as aggressive retries trigger account-level throttling.

Error: 5xx Server Error

• What causes it: Temporary platform instability or internal recommendation engine failures.
• How to fix it: Retry the operation after a 30-second delay. If the error persists beyond five attempts, contact Genesys Cloud support with the request ID from the response headers.
• Code showing the fix: Wrap the PATCH call in a try-except block that catches httpx.HTTPStatusError and checks response.status_code >= 500. Implement a circuit breaker pattern for production deployments.

Official References

• Genesys Cloud Agent Assist Rules API Documentation
• Genesys Cloud OAuth 2.0 Client Credentials Flow
• HTTPX Python Client Documentation
• Pydantic Data Validation Library