Agent Infrastructure

Pre-generation Workflowfor Real-time Video Agents

Can't generate video in real-time? Pre-generate during idle time and cache for instant playback. Build zero-latency agent experiences with CreativeAPI.

The Physics Problem

Real-time video generation isn't possible — yet. Kling, Veo, and other models need 5-8 seconds to generate a 5-second video. Here's how to work around it.

Generation Time
5-8 seconds for 5s video
Pre-generate during idle time
Model Latency
Queue + processing time
Parallel batch generation
Network Transfer
Video file download
CDN edge caching

Pre-generation Architecture

Prompt Queue

Pre-defined prompts for common agent scenarios

Batch Generator

Generate up to 20 videos per API call

Webhook Handler

Receive completion notifications instantly

Cache Layer

Store videos for instant retrieval during calls

Prompt Queue
Batch API
CreativeAPI
Webhook
Cache
Agent Call

Implementation

Python implementation for pre-generation workflow with batch API and webhook handling.

agent_pregeneration.py
# Pre-generation Workflow for Video Agents
import asyncio
import httpx
from datetime import datetime

class AgentVideoPreGenerator:
    def __init__(self, api_key: str, cache_url: str):
        self.api_key = api_key
        self.cache_url = cache_url
        self.base_url = "https://api.creativeai.run/v1"
    
    async def pregenerate_batch(self, prompts: list[str]) -> list[str]:
        """Pre-generate videos for upcoming agent calls."""
        
        # Submit batch of videos
        batch_request = {
            "videos": [
                {
                    "prompt": prompt,
                    "model": "kling-v3",
                    "duration": 5,
                    "aspect_ratio": "16:9"
                }
                for prompt in prompts
            ],
            "webhook_url": f"{self.cache_url}/webhook/complete",
            "failover": True  # Auto-switch to backup model
        }
        
        async with httpx.AsyncClient() as client:
            response = await client.post(
                f"{self.base_url}/video/batch",
                json=batch_request,
                headers={
                    "Authorization": f"Bearer {self.api_key}",
                    "Content-Type": "application/json"
                }
            )
            
            batch = response.json()
            return batch["job_ids"]
    
    async def handle_webhook(self, payload: dict):
        """Process webhook completion - store in cache."""
        
        video_data = {
            "job_id": payload["id"],
            "video_url": payload["output"]["video_url"],
            "thumbnail_url": payload["output"]["thumbnail_url"],
            "prompt": payload["prompt"],
            "model": payload["model"],
            "cached_at": datetime.utcnow().isoformat(),
            "expires_at": datetime.utcnow().add(hours=24).isoformat()
        }
        
        # Store in your cache layer (Redis, S3, etc.)
        await self.cache_video(video_data)
        
        return {"status": "cached"}
    
    async def get_video_for_call(self, scenario: str) -> str:
        """Retrieve pre-generated video for live call."""
        
        # Match cached video to scenario
        cached = await self.cache.get(matching=scenario)
        
        if cached:
            return cached["video_url"]
        
        # Fallback: generate synchronously (not ideal)
        return await self.generate_fallback(scenario)

# Usage: Pre-generate during idle time
generator = AgentVideoPreGenerator(
    api_key="rph_live_...",
    cache_url="https://your-cache.example.com"
)

# Pre-generate common scenarios before calls
prompts = [
    "Professional greeting in office setting, friendly smile",
    "Explaining product features with hand gestures",
    "Nodding in agreement during conversation",
    "Thinking pause before responding",
    "Closing summary with wave goodbye"
]

# Run during low-traffic hours
job_ids = await generator.pregenerate_batch(prompts)

Latency Comparison

ApproachLatencyReliabilityUser ExperienceScaling
Real-time Generation5-8 secondsModel dependentAwkward pauseLimited
Pre-generationRecommended<100ms99.9%+SeamlessUnlimited

Agent Video Use Cases

Company TypeExamplePre-generated PromptsVolume
AI Sales Demo AgentsSupersonik-style product demosGreeting, feature highlight, pricing, close50-200 videos/session
Customer Support AgentsKeyframe Labs video callsEmpathy responses, solutions, follow-ups20-50 videos/shift
Education TutorsSubject (edtech) coursesConcept explanations, examples, encouragement100+ videos/lesson
Financial AdvisorsStoryline partnershipPortfolio updates, recommendations, summaries10-30 videos/client

Why CreativeAPI for Agent Video?

Multi-model Failover

Kling, Veo, Seedance, Vidu — automatic failover if one model is slow.

Webhook Delivery

3 retries with exponential backoff. HMAC signing for security.

Batch Processing

Generate up to 20 videos per API call. Parallel processing.

Volume Pricing

Pre-generation at Scale

Batch generation reduces per-video cost. Pre-generate during off-peak hours for maximum savings.

  • Kling V3: $0.15/video
  • Veo 3.1 Lite: $0.08/video
  • Volume discounts available
$0.08-0.15
per 5-second video
View Pricing

Build Zero-latency Video Agents

Get your CreativeAPI key, implement pre-generation workflow, and deliver seamless video agent experiences.