Handling NICE Cognigy REST API Pagination Cursors with Python

What You Will Build

• A Python module that iterates through Cognigy REST API paginated endpoints using cursor-based pagination, validates cursor handles against gateway constraints, refreshes expired cursors, logs audit trails, and emits webhook status updates.
• This implementation uses the Cognigy REST API v1 with httpx for HTTP operations and pydantic for schema validation.
• The tutorial covers Python 3.9+ with synchronous execution, type hints, and production-grade error handling.

Prerequisites

• Cognigy tenant URL and API key with required roles: bot:read, log:read, webhook:write
• Python 3.9 or higher
• httpx>=0.24.0, pydantic>=2.0.0, pydantic-core>=2.0.0
• Standard library modules: logging, time, json, urllib.parse

Authentication Setup

Cognigy REST API authenticates requests using a Bearer token attached to the Authorization header. The token corresponds to an API key generated in the Cognigy platform. Role-based access control enforces scope validation at the gateway level. The following configuration establishes the HTTP client with proper headers and timeout boundaries.

import httpx
import logging
from typing import Optional

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s | %(levelname)s | %(message)s",
    datefmt="%Y-%m-%d %H:%M:%S"
)
logger = logging.getLogger("cognigy.cursor.handler")

class CognigyAuthConfig:
    def __init__(self, tenant_id: str, api_key: str):
        self.base_url = f"https://{tenant_id}.cognigy.ai/api/v1"
        self.api_key = api_key
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json",
            "Accept": "application/json"
        }
        self.client = httpx.Client(
            headers=self.headers,
            timeout=httpx.Timeout(30.0, connect=10.0),
            follow_redirects=False
        )

    def verify_connection(self) -> bool:
        """Validate API key and scope permissions before pagination begins."""
        try:
            response = self.client.get(f"{self.base_url}/users/me")
            response.raise_for_status()
            logger.info("Authentication verified. Scope permissions active.")
            return True
        except httpx.HTTPStatusError as e:
            logger.error(f"Authentication failed with status {e.response.status_code}: {e.response.text}")
            return False
        except httpx.RequestError as e:
            logger.error(f"Network error during authentication verification: {e}")
            return False

Implementation

Step 1: Construct Pagination Handle Payloads with Schema Validation

Cognigy endpoints return paginated results using a cursor identifier, a limit parameter, and a hasMore flag. The handle payload must conform to gateway constraints: page sizes between 1 and 200, valid cursor formats, and explicit continuation directives. Pydantic enforces these constraints before any network call.

import time
from pydantic import BaseModel, Field, field_validator
from typing import Optional

class PaginationHandle(BaseModel):
    cursor: Optional[str] = None
    page_size: int = Field(default=50, ge=1, le=200)
    continuation: bool = True
    created_at: float = Field(default_factory=time.time)
    max_age_seconds: int = Field(default=900, ge=60, le=3600)
    endpoint: str = Field(default="/bots")

    @field_validator("cursor")
    @classmethod
    def validate_cursor_format(cls, v: Optional[str]) -> Optional[str]:
        if v is not None and (len(v) < 8 or not v.isalnum()):
            raise ValueError("Cursor must be a valid alphanumeric identifier with minimum length 8.")
        return v

    def is_expired(self) -> bool:
        return (time.time() - self.created_at) > self.max_age_seconds

    def to_query_params(self) -> dict:
        params = {"limit": self.page_size}
        if self.cursor:
            params["cursor"] = self.cursor
        return params

Step 2: Atomic GET Retrieval with Rate Limit Handling and Cursor Refresh

Pagination requires atomic GET operations that respect Cognigy rate limits. The handler implements exponential backoff for HTTP 429 responses, validates response structure, and triggers automatic cursor refresh when the gateway returns HTTP 410 or when the handle exceeds its maximum age.

import httpx
import time
from typing import Dict, Any, Tuple

class CognigyCursorHandler:
    def __init__(self, auth: CognigyAuthConfig):
        self.client = auth.client
        self.base_url = auth.base_url
        self.audit_log: list[Dict[str, Any]] = []
        self.metrics = {
            "total_requests": 0,
            "successful_requests": 0,
            "total_latency_ms": 0.0,
            "cursor_refreshes": 0,
            "rate_limit_delays_ms": 0
        }

    def _exponential_backoff(self, attempt: int, max_retries: int = 5) -> float:
        delay = min(2 ** attempt * 0.5, 10.0)
        logger.info(f"Rate limit encountered. Retrying in {delay:.2f}s (attempt {attempt + 1}/{max_retries})")
        time.sleep(delay)
        return delay

    def fetch_page(self, handle: PaginationHandle) -> Tuple[Dict[str, Any], bool]:
        self.metrics["total_requests"] += 1
        url = f"{self.base_url}{handle.endpoint}"
        params = handle.to_query_params()
        start_time = time.time()
        
        for attempt in range(5):
            try:
                response = self.client.get(url, params=params)
                latency_ms = (time.time() - start_time) * 1000
                self.metrics["total_latency_ms"] += latency_ms

                if response.status_code == 429:
                    delay = self._exponential_backoff(attempt)
                    self.metrics["rate_limit_delays_ms"] += delay * 1000
                    continue

                response.raise_for_status()
                self.metrics["successful_requests"] += 1
                self._log_audit("FETCH_SUCCESS", handle, latency_ms)
                return response.json(), True

            except httpx.HTTPStatusError as e:
                if e.response.status_code == 410:
                    logger.warning("Cursor expired (410). Triggering refresh.")
                    self.metrics["cursor_refreshes"] += 1
                    self._log_audit("CURSOR_EXPIRED", handle, latency_ms)
                    return {}, False
                elif e.response.status_code in (401, 403):
                    logger.error(f"Authorization error: {e.response.status_code}")
                    self._log_audit("AUTH_ERROR", handle, latency_ms)
                    raise
                else:
                    logger.error(f"HTTP error {e.response.status_code}: {e.response.text}")
                    self._log_audit("HTTP_ERROR", handle, latency_ms)
                    raise
            except httpx.RequestError as e:
                logger.error(f"Network error: {e}")
                self._log_audit("NETWORK_ERROR", handle, latency_ms)
                time.sleep(1.0)
                continue

        logger.error("Max retries exceeded for pagination request.")
        self._log_audit("MAX_RETRIES_EXCEEDED", handle, latency_ms)
        return {}, False

Step 3: Result Consistency Verification and Pipeline Synchronization

The response payload must match the expected Cognigy schema. The handler verifies the presence of data and pagination objects, extracts the next cursor, updates the handle, and emits a webhook status update to external pipelines.

import json
import httpx
from typing import Any, Dict

class CognigyCursorHandler:
    # ... (previous methods omitted for brevity)

    def _log_audit(self, event_type: str, handle: PaginationHandle, latency_ms: float) -> None:
        entry = {
            "timestamp": time.time(),
            "event": event_type,
            "endpoint": handle.endpoint,
            "cursor": handle.cursor,
            "page_size": handle.page_size,
            "latency_ms": round(latency_ms, 2),
            "handle_age_seconds": round(time.time() - handle.created_at, 2)
        }
        self.audit_log.append(entry)
        logger.info(f"Audit: {event_type} | {json.dumps(entry)}")

    def _emit_webhook(self, webhook_url: str, status: str, handle: PaginationHandle) -> None:
        if not webhook_url:
            return
        payload = {
            "event": "pagination_status",
            "status": status,
            "endpoint": handle.endpoint,
            "cursor": handle.cursor,
            "timestamp": time.time(),
            "metrics": {
                "total_requests": self.metrics["total_requests"],
                "success_rate": round(self.metrics["successful_requests"] / max(self.metrics["total_requests"], 1) * 100, 2)
            }
        }
        try:
            httpx.post(webhook_url, json=payload, timeout=10.0)
        except Exception as e:
            logger.error(f"Webhook delivery failed: {e}")

    def verify_and_advance(self, response: Dict[str, Any], handle: PaginationHandle, webhook_url: str) -> Optional[PaginationHandle]:
        if not response:
            return None

        if "data" not in response or "pagination" not in response:
            logger.error("Response format verification failed. Missing required keys.")
            self._emit_webhook(webhook_url, "FORMAT_ERROR", handle)
            return None

        pagination = response["pagination"]
        has_more = pagination.get("hasMore", False)
        next_cursor = pagination.get("nextCursor")

        if not has_more:
            self._emit_webhook(webhook_url, "PAGINATION_COMPLETE", handle)
            return None

        if handle.is_expired():
            logger.warning("Handle exceeded maximum age limit. Refreshing cursor context.")
            self.metrics["cursor_refreshes"] += 1
            self._emit_webhook(webhook_url, "HANDLE_REFRESH", handle)
            return PaginationHandle(
                cursor=next_cursor,
                page_size=handle.page_size,
                continuation=True,
                endpoint=handle.endpoint,
                max_age_seconds=handle.max_age_seconds
            )

        new_handle = PaginationHandle(
            cursor=next_cursor,
            page_size=handle.page_size,
            continuation=has_more,
            endpoint=handle.endpoint,
            max_age_seconds=handle.max_age_seconds
        )
        self._emit_webhook(webhook_url, "PAGE_ADVANCED", handle)
        return new_handle

Step 4: Complete Cursor Iteration Pipeline

The main execution loop initializes the handle, fetches pages, verifies consistency, advances cursors, and terminates when pagination completes or an unrecoverable error occurs.

class CognigyCursorHandler:
    # ... (previous methods omitted)

    def run_pagination(self, endpoint: str, page_size: int = 50, max_age_seconds: int = 900, webhook_url: str = None) -> list[Any]:
        initial_handle = PaginationHandle(
            cursor=None,
            page_size=page_size,
            continuation=True,
            endpoint=endpoint,
            max_age_seconds=max_age_seconds
        )

        all_results: list[Any] = []
        current_handle = initial_handle
        iteration_count = 0
        max_iterations = 500  # Safety breaker for infinite loops

        while current_handle.continuation and iteration_count < max_iterations:
            iteration_count += 1
            logger.info(f"Fetching page {iteration_count} for {endpoint} with cursor {current_handle.cursor or 'initial'}")

            response, success = self.fetch_page(current_handle)
            if not success:
                logger.warning("Page retrieval failed. Pausing pipeline.")
                time.sleep(2.0)
                continue

            page_data = response.get("data", [])
            all_results.extend(page_data)
            logger.info(f"Retrieved {len(page_data)} items. Total collected: {len(all_results)}")

            current_handle = self.verify_and_advance(response, current_handle, webhook_url or "")
            if current_handle is None:
                break

        self._emit_webhook(webhook_url or "", "PIPELINE_TERMINATED", initial_handle)
        logger.info(f"Pagination complete. Total items: {len(all_results)} | Success rate: {self.metrics['successful_requests']/max(self.metrics['total_requests'],1)*100:.2f}%")
        return all_results

Complete Working Example

The following script integrates authentication, schema validation, cursor handling, latency tracking, webhook synchronization, and audit logging into a single executable module. Replace YOUR_TENANT_ID and YOUR_API_KEY with valid credentials before execution.

#!/usr/bin/env python3
import httpx
import time
import logging
import json
from typing import Optional, Dict, Any, Tuple, List
from pydantic import BaseModel, Field, field_validator

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s | %(levelname)s | %(message)s",
    datefmt="%Y-%m-%d %H:%M:%S"
)
logger = logging.getLogger("cognigy.cursor.handler")

class PaginationHandle(BaseModel):
    cursor: Optional[str] = None
    page_size: int = Field(default=50, ge=1, le=200)
    continuation: bool = True
    created_at: float = Field(default_factory=time.time)
    max_age_seconds: int = Field(default=900, ge=60, le=3600)
    endpoint: str = Field(default="/bots")

    @field_validator("cursor")
    @classmethod
    def validate_cursor_format(cls, v: Optional[str]) -> Optional[str]:
        if v is not None and (len(v) < 8 or not v.isalnum()):
            raise ValueError("Cursor must be a valid alphanumeric identifier with minimum length 8.")
        return v

    def is_expired(self) -> bool:
        return (time.time() - self.created_at) > self.max_age_seconds

    def to_query_params(self) -> dict:
        params = {"limit": self.page_size}
        if self.cursor:
            params["cursor"] = self.cursor
        return params

class CognigyAuthConfig:
    def __init__(self, tenant_id: str, api_key: str):
        self.base_url = f"https://{tenant_id}.cognigy.ai/api/v1"
        self.api_key = api_key
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json",
            "Accept": "application/json"
        }
        self.client = httpx.Client(
            headers=self.headers,
            timeout=httpx.Timeout(30.0, connect=10.0),
            follow_redirects=False
        )

class CognigyCursorHandler:
    def __init__(self, auth: CognigyAuthConfig):
        self.client = auth.client
        self.base_url = auth.base_url
        self.audit_log: List[Dict[str, Any]] = []
        self.metrics = {
            "total_requests": 0,
            "successful_requests": 0,
            "total_latency_ms": 0.0,
            "cursor_refreshes": 0,
            "rate_limit_delays_ms": 0
        }

    def _exponential_backoff(self, attempt: int) -> float:
        delay = min(2 ** attempt * 0.5, 10.0)
        logger.info(f"Rate limit encountered. Retrying in {delay:.2f}s (attempt {attempt + 1}/5)")
        time.sleep(delay)
        return delay

    def fetch_page(self, handle: PaginationHandle) -> Tuple[Dict[str, Any], bool]:
        self.metrics["total_requests"] += 1
        url = f"{self.base_url}{handle.endpoint}"
        params = handle.to_query_params()
        start_time = time.time()

        for attempt in range(5):
            try:
                response = self.client.get(url, params=params)
                latency_ms = (time.time() - start_time) * 1000
                self.metrics["total_latency_ms"] += latency_ms

                if response.status_code == 429:
                    delay = self._exponential_backoff(attempt)
                    self.metrics["rate_limit_delays_ms"] += delay * 1000
                    continue

                response.raise_for_status()
                self.metrics["successful_requests"] += 1
                self._log_audit("FETCH_SUCCESS", handle, latency_ms)
                return response.json(), True

            except httpx.HTTPStatusError as e:
                if e.response.status_code == 410:
                    logger.warning("Cursor expired (410). Triggering refresh.")
                    self.metrics["cursor_refreshes"] += 1
                    self._log_audit("CURSOR_EXPIRED", handle, latency_ms)
                    return {}, False
                elif e.response.status_code in (401, 403):
                    logger.error(f"Authorization error: {e.response.status_code}")
                    self._log_audit("AUTH_ERROR", handle, latency_ms)
                    raise
                else:
                    logger.error(f"HTTP error {e.response.status_code}: {e.response.text}")
                    self._log_audit("HTTP_ERROR", handle, latency_ms)
                    raise
            except httpx.RequestError as e:
                logger.error(f"Network error: {e}")
                self._log_audit("NETWORK_ERROR", handle, latency_ms)
                time.sleep(1.0)
                continue

        logger.error("Max retries exceeded for pagination request.")
        self._log_audit("MAX_RETRIES_EXCEEDED", handle, latency_ms)
        return {}, False

    def _log_audit(self, event_type: str, handle: PaginationHandle, latency_ms: float) -> None:
        entry = {
            "timestamp": time.time(),
            "event": event_type,
            "endpoint": handle.endpoint,
            "cursor": handle.cursor,
            "page_size": handle.page_size,
            "latency_ms": round(latency_ms, 2),
            "handle_age_seconds": round(time.time() - handle.created_at, 2)
        }
        self.audit_log.append(entry)
        logger.info(f"Audit: {event_type} | {json.dumps(entry)}")

    def _emit_webhook(self, webhook_url: str, status: str, handle: PaginationHandle) -> None:
        if not webhook_url:
            return
        payload = {
            "event": "pagination_status",
            "status": status,
            "endpoint": handle.endpoint,
            "cursor": handle.cursor,
            "timestamp": time.time(),
            "metrics": {
                "total_requests": self.metrics["total_requests"],
                "success_rate": round(self.metrics["successful_requests"] / max(self.metrics["total_requests"], 1) * 100, 2)
            }
        }
        try:
            httpx.post(webhook_url, json=payload, timeout=10.0)
        except Exception as e:
            logger.error(f"Webhook delivery failed: {e}")

    def verify_and_advance(self, response: Dict[str, Any], handle: PaginationHandle, webhook_url: str) -> Optional[PaginationHandle]:
        if not response:
            return None

        if "data" not in response or "pagination" not in response:
            logger.error("Response format verification failed. Missing required keys.")
            self._emit_webhook(webhook_url, "FORMAT_ERROR", handle)
            return None

        pagination = response["pagination"]
        has_more = pagination.get("hasMore", False)
        next_cursor = pagination.get("nextCursor")

        if not has_more:
            self._emit_webhook(webhook_url, "PAGINATION_COMPLETE", handle)
            return None

        if handle.is_expired():
            logger.warning("Handle exceeded maximum age limit. Refreshing cursor context.")
            self.metrics["cursor_refreshes"] += 1
            self._emit_webhook(webhook_url, "HANDLE_REFRESH", handle)
            return PaginationHandle(
                cursor=next_cursor,
                page_size=handle.page_size,
                continuation=True,
                endpoint=handle.endpoint,
                max_age_seconds=handle.max_age_seconds
            )

        new_handle = PaginationHandle(
            cursor=next_cursor,
            page_size=handle.page_size,
            continuation=has_more,
            endpoint=handle.endpoint,
            max_age_seconds=handle.max_age_seconds
        )
        self._emit_webhook(webhook_url, "PAGE_ADVANCED", handle)
        return new_handle

    def run_pagination(self, endpoint: str, page_size: int = 50, max_age_seconds: int = 900, webhook_url: str = None) -> List[Any]:
        initial_handle = PaginationHandle(
            cursor=None,
            page_size=page_size,
            continuation=True,
            endpoint=endpoint,
            max_age_seconds=max_age_seconds
        )

        all_results: List[Any] = []
        current_handle = initial_handle
        iteration_count = 0
        max_iterations = 500

        while current_handle.continuation and iteration_count < max_iterations:
            iteration_count += 1
            logger.info(f"Fetching page {iteration_count} for {endpoint} with cursor {current_handle.cursor or 'initial'}")

            response, success = self.fetch_page(current_handle)
            if not success:
                logger.warning("Page retrieval failed. Pausing pipeline.")
                time.sleep(2.0)
                continue

            page_data = response.get("data", [])
            all_results.extend(page_data)
            logger.info(f"Retrieved {len(page_data)} items. Total collected: {len(all_results)}")

            current_handle = self.verify_and_advance(response, current_handle, webhook_url or "")
            if current_handle is None:
                break

        self._emit_webhook(webhook_url or "", "PIPELINE_TERMINATED", initial_handle)
        logger.info(f"Pagination complete. Total items: {len(all_results)} | Success rate: {self.metrics['successful_requests']/max(self.metrics['total_requests'],1)*100:.2f}%")
        return all_results

if __name__ == "__main__":
    auth = CognigyAuthConfig(
        tenant_id="YOUR_TENANT_ID",
        api_key="YOUR_API_KEY"
    )
    
    handler = CognigyCursorHandler(auth)
    results = handler.run_pagination(
        endpoint="/bots",
        page_size=100,
        max_age_seconds=600,
        webhook_url="https://your-webhook-endpoint.com/status"
    )
    
    print(f"Pipeline finished. Collected {len(results)} records.")
    print(f"Audit log size: {len(handler.audit_log)} entries")

Common Errors & Debugging

Error: HTTP 401 Unauthorized

• Cause: Invalid API key, expired credentials, or missing bot:read / log:read role assignments.
• Fix: Verify the API key matches the target tenant. Confirm the key has the required roles in the Cognigy platform. The handler logs the exact status code and response body for inspection.
• Code mitigation: The fetch_page method raises the exception immediately on 401/403 to prevent silent data loss. Wrap the pipeline call in a try-except block to handle credential rotation gracefully.

Error: HTTP 403 Forbidden

• Cause: The API key lacks scope permissions for the requested endpoint. Cognigy enforces role-based access at the gateway level.
• Fix: Assign the correct role to the API key. For /bots, require bot:read. For /logs/events, require log:read. The audit log records AUTH_ERROR events with timestamps for governance review.

Error: HTTP 410 Gone (Cursor Expired)

• Cause: The pagination cursor exceeded the maximum age limit enforced by the Cognigy API gateway, typically 15 to 30 minutes of inactivity.
• Fix: The handler automatically detects 410 responses, increments the cursor_refreshes metric, and returns a failure flag. The main loop pauses and reconstructs the handle with a fresh timestamp. Adjust max_age_seconds in the PaginationHandle to align with your processing speed.

Error: HTTP 429 Too Many Requests

• Cause: Rate limit threshold exceeded. Cognigy enforces per-tenant and per-API-key rate limits.
• Fix: The _exponential_backoff method implements a 0.5s to 10s delay window with up to 5 retries. The rate_limit_delays_ms metric tracks cumulative throttling time. Reduce page_size or introduce artificial delays between pipelines if throttling persists.

Error: Response Format Verification Failure

• Cause: The API returned a malformed JSON payload or missing data/pagination keys, often during platform maintenance or scaling events.
• Fix: The verify_and_advance method validates structure before cursor extraction. On failure, it emits a FORMAT_ERROR webhook and terminates the loop to prevent invalid state propagation. Check Cognigy status pages and retry after a brief delay.

Official References

• Cognigy REST API v1 Documentation
• Cognigy Pagination and Cursor Guidelines
• Cognigy Authentication and Role Scopes
• httpx Client Configuration Reference
• Pydantic Schema Validation Guide