Dismissing Genesys Cloud Agent Assist Suggestions via Python SDK

What You Will Build

• The code programmatically dismisses active Agent Assist suggestions, submits structured feedback, and enforces suppression rules against the Genesys Cloud platform.
• This implementation uses the Genesys Cloud Agent Assist API endpoint POST /api/v2/agentassist/suggestions/{suggestionId}/feedback and the official genesyscloud Python SDK.
• The solution is written in Python 3.9+ and integrates schema validation, rate limit enforcement, latency tracking, audit logging, and external webhook synchronization.

Prerequisites

• OAuth client type: Confidential (Client Credentials) or Public (Authorization Code). Required scope: agentassist:feedback:write
• SDK version: genesyscloud>=3.0.0
• Runtime: Python 3.9+
• External dependencies: genesyscloud, httpx, pydantic, pyyaml

Authentication Setup

The Genesys Cloud Python SDK handles OAuth token acquisition and automatic refresh when configured with a confidential client. You must initialize PureCloudConfiguration with the correct base URLs and scopes before instantiating the AgentAssistApi client.

from genesyscloud.platform_client_v2.configuration import PureCloudConfiguration
from genesyscloud.platform_client_v2.api_client import ApiClient
from genesyscloud.agentassist.api import AgentAssistApi

def create_agent_assist_client(env: str, client_id: str, client_secret: str) -> AgentAssistApi:
    config = PureCloudConfiguration(
        base_url=f"https://{env}.mygen.com",
        oauth_client_id=client_id,
        oauth_client_secret=client_secret,
        oauth_scopes=["agentassist:feedback:write"],
        oauth_base_url=f"https://login.{env}.mygen.com"
    )
    api_client = ApiClient(config)
    # Enable debug logging to observe full HTTP request/response cycles
    api_client.configuration.debug = False
    return AgentAssistApi(api_client)

The SDK automatically attaches the Authorization: Bearer <token> header to every request. If the token expires, the SDK intercepts the 401 Unauthorized response, triggers a token refresh, and retries the original request transparently.

Implementation

Step 1: Initialize SDK and Configure Rate Limit Protection

Genesys Cloud enforces strict rate limits on feedback endpoints to protect model training pipelines. You must implement a sliding window rate limiter to prevent 429 Too Many Requests cascades. The following class wraps the API client and enforces a configurable requests-per-minute threshold.

import time
import logging
from typing import List

logger = logging.getLogger(__name__)

class RateLimiter:
    def __init__(self, max_requests_per_minute: int = 60):
        self.max_requests = max_requests_per_minute
        self.timestamps: List[float] = []

    def acquire(self) -> None:
        now = time.time()
        # Remove timestamps older than 60 seconds
        self.timestamps = [t for t in self.timestamps if now - t < 60]
        
        if len(self.timestamps) >= self.max_requests:
            # Calculate wait time until the oldest request falls out of the window
            wait_time = 60.0 - (now - self.timestamps[0])
            logger.warning(f"Rate limit threshold reached. Sleeping for {wait_time:.2f}s")
            time.sleep(wait_time)
            
        self.timestamps.append(now)

Step 2: Construct Dismiss Payloads with Schema Validation

You must validate dismiss payloads against assist UI constraints before sending them to the platform. The Genesys Cloud feedback endpoint expects a strict JSON structure. You will use Pydantic to enforce UUID formatting, reason code matrices, and re-show prevention directives. Session context verification pipelines ensure that the dismissal originates from a valid user intent and active session.

from pydantic import BaseModel, Field, validator
from typing import Literal, Optional, Dict, Any
import re

class DismissPayload(BaseModel):
    suggestion_id: str = Field(..., description="UUID of the suggestion to dismiss")
    feedback_type: Literal["DISMISS", "NOT_USEFUL", "USEFUL"] = "DISMISS"
    reason_code: Optional[str] = Field(None, pattern=r"^[A-Z_]+$", description="Feedback reason matrix identifier")
    suppress_future: bool = Field(False, description="Re-show prevention directive")
    session_context: Dict[str, Any] = Field(default_factory=dict, description="User intent and session verification data")

    @validator("suggestion_id")
    def validate_uuid_format(cls, v: str) -> str:
        if not re.match(r"^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$", v, re.I):
            raise ValueError("Invalid UUID format for suggestion_id")
        return v.lower()

    @validator("session_context")
    def verify_session_pipeline(cls, v: Dict[str, Any]) -> Dict[str, Any]:
        required_keys = {"session_id", "user_id", "intent_flag"}
        missing = required_keys - set(v.keys())
        if missing:
            raise ValueError(f"Session context verification failed. Missing keys: {missing}")
        if not v.get("intent_flag", False):
            raise ValueError("User intent checking pipeline rejected dismissal. Intent flag must be True.")
        return v

Step 3: Execute Atomic POST with Latency Tracking and Webhook Sync

The core dismisser performs an atomic POST operation, tracks latency, handles API exceptions with exponential backoff for 429 responses, logs audit records, and synchronizes events with external personalization engines via webhook callbacks.

import httpx
from datetime import datetime, timezone
from genesyscloud.platform_client_v2.rest import ApiException
from typing import Dict, Any

class AgentAssistDismisser:
    def __init__(self, api_client: AgentAssistApi, rate_limiter: RateLimiter, webhook_url: str = None):
        self.api = api_client
        self.rate_limiter = rate_limiter
        self.webhook_url = webhook_url
        self.success_count = 0
        self.failure_count = 0
        self.total_latency_ms = 0.0

    def _sync_webhook(self, event_data: Dict[str, Any]) -> None:
        if not self.webhook_url:
            return
        try:
            with httpx.Client(timeout=5.0) as client:
                client.post(
                    self.webhook_url,
                    json=event_data,
                    headers={"Content-Type": "application/json", "X-Event-Type": "agent-assist-dismiss"}
                )
        except httpx.HTTPError as e:
            logger.error(f"Webhook synchronization failed: {e}")

    def _log_audit(self, record: Dict[str, Any]) -> None:
        # Production systems should ship this to Splunk, Datadog, or CloudWatch
        logger.info(f"AUDIT_LOG: {record}")

    def dismiss(self, payload: DismissPayload) -> Dict[str, Any]:
        start_time = time.perf_counter()
        audit_record = {
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "action": "SUGGESTION_DISMISS",
            "suggestion_id": payload.suggestion_id,
            "status": "PENDING",
            "latency_ms": 0.0,
            "error": None,
            "suppress_future": payload.suppress_future
        }

        self.rate_limiter.acquire()

        # Format verification and atomic POST preparation
        api_body = {
            "feedbackType": payload.feedback_type,
            "reason": payload.reason_code,
            "suppressFutureSuggestions": payload.suppress_future,
            "sessionId": payload.session_context["session_id"],
            "userId": payload.session_context["user_id"]
        }

        # HTTP Request Cycle Representation:
        # POST /api/v2/agentassist/suggestions/{suggestionId}/feedback
        # Headers: Authorization: Bearer <token>, Content-Type: application/json
        # Body: {"feedbackType":"DISMISS","reason":"INACCURATE","suppressFutureSuggestions":true,"sessionId":"sess-abc","userId":"user-123"}
        # Expected Response: 204 No Content (or 200 with confirmation JSON depending on API version)

        max_retries = 3
        for attempt in range(max_retries):
            try:
                response = self.api.post_agentassist_suggestions_suggestion_id_feedback(
                    suggestion_id=payload.suggestion_id,
                    body=api_body
                )
                latency_ms = (time.perf_counter() - start_time) * 1000
                audit_record["status"] = "SUCCESS"
                audit_record["latency_ms"] = round(latency_ms, 2)
                self.success_count += 1
                self.total_latency_ms += latency_ms
                break
            except ApiException as e:
                latency_ms = (time.perf_counter() - start_time) * 1000
                audit_record["latency_ms"] = round(latency_ms, 2)
                
                if e.status == 429:
                    wait_time = 2 ** attempt + 0.5
                    logger.warning(f"Received 429 Rate Limit. Retrying in {wait_time}s (attempt {attempt+1}/{max_retries})")
                    time.sleep(wait_time)
                    continue
                elif e.status in (400, 422):
                    audit_record["status"] = "FAILED_VALIDATION"
                    audit_record["error"] = f"Payload format verification failed: {e.body}"
                    self.failure_count += 1
                    break
                elif e.status in (401, 403):
                    audit_record["status"] = "FAILED_AUTH"
                    audit_record["error"] = f"Authentication/Authorization error: {e.status}"
                    self.failure_count += 1
                    break
                else:
                    audit_record["status"] = "FAILED_API"
                    audit_record["error"] = f"Unexpected API error {e.status}: {e.body}"
                    self.failure_count += 1
                    break
            except Exception as e:
                audit_record["status"] = "FAILED_UNEXPECTED"
                audit_record["error"] = str(e)
                self.failure_count += 1
                break
        else:
            audit_record["status"] = "FAILED_RETRY_EXHAUSTED"
            audit_record["error"] = "Max retries exceeded for 429 rate limit"
            self.failure_count += 1

        self._log_audit(audit_record)
        self._sync_webhook(audit_record)
        return audit_record

Complete Working Example

The following script combines authentication, schema validation, rate limiting, and the dismisser into a single executable module. Replace the placeholder credentials with your OAuth client values.

import os
import logging
from genesyscloud.platform_client_v2.configuration import PureCloudConfiguration
from genesyscloud.platform_client_v2.api_client import ApiClient
from genesyscloud.agentassist.api import AgentAssistApi
from genesyscloud.platform_client_v2.rest import ApiException

# Import classes from previous steps
# (RateLimiter, DismissPayload, AgentAssistDismisser)

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

def main():
    env = os.getenv("GENESYS_ENV", "us-east-1")
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    webhook_url = os.getenv("PERSONALIZATION_WEBHOOK_URL")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set")

    # Step 1: Authentication and SDK Initialization
    config = PureCloudConfiguration(
        base_url=f"https://{env}.mygen.com",
        oauth_client_id=client_id,
        oauth_client_secret=client_secret,
        oauth_scopes=["agentassist:feedback:write"],
        oauth_base_url=f"https://login.{env}.mygen.com"
    )
    api_client = ApiClient(config)
    assist_api = AgentAssistApi(api_client)

    # Step 2: Infrastructure Setup
    rate_limiter = RateLimiter(max_requests_per_minute=50)
    dismisser = AgentAssistDismisser(
        api_client=assist_api,
        rate_limiter=rate_limiter,
        webhook_url=webhook_url
    )

    # Step 3: Construct and Validate Payload
    try:
        payload = DismissPayload(
            suggestion_id="a1b2c3d4-e5f6-7890-abcd-ef1234567890",
            feedback_type="DISMISS",
            reason_code="INACCURATE",
            suppress_future=True,
            session_context={
                "session_id": "sess-98765432",
                "user_id": "usr-11223344",
                "intent_flag": True
            }
        )
        print("Payload schema validation passed.")
    except Exception as e:
        print(f"Payload construction failed: {e}")
        return

    # Step 4: Execute Dismiss
    result = dismisser.dismiss(payload)
    print(f"Dismiss operation completed. Status: {result['status']} | Latency: {result['latency_ms']}ms")
    
    # Step 5: Report Metrics
    total_ops = dismisser.success_count + dismisser.failure_count
    if total_ops > 0:
        avg_latency = dismisser.total_latency_ms / total_ops
        print(f"Metrics - Success: {dismisser.success_count}, Failures: {dismisser.failure_count}, Avg Latency: {avg_latency:.2f}ms")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 429 Too Many Requests

• What causes it: The sliding window rate limiter allows too many feedback submissions within a 60-second interval, or the platform enforces a lower tier limit for your organization.
• How to fix it: Reduce max_requests_per_minute in RateLimiter. The dismisser automatically implements exponential backoff on 429 responses. Verify your API tier limits in the Genesys Cloud admin console.
• Code showing the fix: The retry loop in AgentAssistDismisser.dismiss handles this automatically. Adjust max_retries if your batch size exceeds platform thresholds.

Error: 400 Bad Request or 422 Unprocessable Entity

• What causes it: The payload schema violates assist UI constraints. Common causes include malformed UUIDs, missing sessionId, or invalid reason_code values that do not exist in your feedback reason matrix.
• How to fix it: Ensure suggestion_id matches the exact UUID returned by the suggestion retrieval API. Verify that reason_code matches an enabled reason in your Agent Assist configuration. Use the Pydantic validator to catch format errors before the HTTP call.
• Code showing the fix: The DismissPayload class validates UUID format and required session keys. If validation fails, the script raises a ValueError immediately, preventing unnecessary API calls.

Error: 401 Unauthorized or 403 Forbidden

• What causes it: The OAuth token expired and the SDK failed to refresh it, or the client lacks the agentassist:feedback:write scope.
• How to fix it: Confirm the OAuth client credentials are correct and the scope is explicitly granted in the Genesys Cloud developer portal. The SDK handles automatic refresh, but network timeouts during refresh can cause failures. Retry the operation after verifying network connectivity.
• Code showing the fix: The ApiException handler captures 401 and 403 status codes and logs them as FAILED_AUTH. You should implement a token cache invalidation trigger in production deployments if persistent auth failures occur.

Official References

• Agent Assist Feedback API Documentation
• Genesys Cloud Python SDK Reference
• OAuth 2.0 Client Credentials Flow
• Rate Limiting Guidelines