Video API Implementation Guide

Implementation Phases

Phase 1: Sandbox (Week 1)

• Get API credentials
• First successful API call
• Understand request/response format
• Test error handling

Phase 2: Integration (Weeks 2-3)

• Integrate into your application
• Implement webhook handling
• Build UI components
• Internal testing

Phase 3: Pilot (Week 4)

• Deploy to staging/production
• Enable for subset of users (5-10%)
• Monitor closely
• Gather feedback

Phase 4: Rollout (Weeks 5-6)

• Gradual rollout (25%, 50%, 100%)
• Monitor at each stage
• Address issues before scaling

Phase 5: Optimization (Ongoing)

• Performance tuning
• Cost optimization
• Feature expansion

Integration Patterns

Async Webhook (Recommended)

# Submit job
response = bv.enhance(video_url)
job_id = response.job_id

# Webhook handler
@app.post("/webhooks/bettervideo")
def handle_webhook(payload):
    if payload.event == "job.completed":
        update_video(payload.job_id, payload.output_url)

Polling (Alternative)

# Submit job
response = bv.enhance(video_url)
job_id = response.job_id

# Poll for completion
while True:
    status = bv.get_job(job_id)
    if status.state == "completed":
        break
    time.sleep(30)

Batch Processing

# Submit multiple jobs
for video in videos:
    bv.enhance(video.url, webhook_url=webhook)

# Process webhooks as they arrive
# No need to track individual jobs

Error Handling

API Errors

try:
    response = bv.enhance(video_url)
except RateLimitError:
    # Back off and retry
    time.sleep(60)
    retry()
except ValidationError as e:
    # Invalid input - don't retry
    log_error(e)
    notify_user("Invalid video format")
except ServerError:
    # Transient error - retry with backoff
    retry_with_backoff()

Webhook Failures

• Return 2xx quickly (within 30 seconds)
• Process asynchronously if needed
• Implement idempotency (same webhook may fire twice)
• Store payload for debugging

Job Failures

• Check failure reason in webhook
• Automatic retry for transient errors
• Notify user for permanent failures
• Log for debugging

Monitoring

Key Metrics

• Success rate: Jobs completed / jobs submitted
• Latency: Time from submit to complete
• Error rate: By error type
• Volume: Jobs per hour/day
• Cost: Running cost tracking

Alerting

• Success rate < 99%
• Latency > 2x baseline
• Error rate spike
• Webhook delivery failures

Dashboard

• Real-time job status
• Historical success rate
• Cost tracking
• Error breakdown

Common Pitfalls

Webhook Handling

• Problem: Webhook times out because handler is slow
• Solution: Acknowledge immediately, process async

Idempotency

• Problem: Duplicate jobs from retries
• Solution: Use idempotency keys

Error Handling

• Problem: Silent failures
• Solution: Log all errors, alert on patterns

Testing

• Problem: Works in dev, fails at scale
• Solution: Load test before launch

Cost Control

• Problem: Unexpected bills
• Solution: Set up usage alerts