Optimize your OpenAI costs
Monitor and optimize your OpenAI API usage with detailed cost analytics, usage tracking, and intelligent recommendations to reduce AI spending.
API Usage Tracking
Monitor OpenAI API calls, token usage, and model performance
Cost Analytics
Detailed cost breakdown by model, endpoint, and application
Usage Optimization
Intelligent recommendations to reduce AI costs without losing quality
Simple integration
Connect OpenAI Account
Securely connect your OpenAI account using API key authentication
Enable Usage Tracking
Configure API call monitoring and cost tracking
Set Budget Alerts
Configure alerts for usage thresholds and budget limits
Review Recommendations
Get optimization recommendations to reduce AI costs
OpenAI Monitoring
Real-time tracking
Monitor API calls and costs in real-time
Budget protection
Set alerts to prevent unexpected charges
Model optimization
Recommendations for cost-effective model usage
OpenAI Models We Optimize
GPT-4
60-80%Optimize expensive GPT-4 calls by suggesting GPT-3.5-turbo for simpler tasks
GPT-3.5-turbo
30-50%Fine-tune prompt engineering and context optimization
DALL-E
40-60%Optimize image generation requests and resolution settings
Embeddings
50-70%Batch embedding requests and implement caching strategies
Fine-tuning
20-40%Optimize training data and model parameters for cost efficiency
Whisper
30-50%Optimize audio processing and transcription workflows
SDK Integration
Monitor your OpenAI usage with our SDK wrapper:
# Python SDK Integration
from deepcost import OpenAIWrapper
import openai
# Wrap your OpenAI client
client = OpenAIWrapper(
openai_api_key="your_openai_key",
deepcost_api_key="your_deepcost_key"
)
# All API calls are automatically tracked
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hello!"}]
)Cost Tracking Dashboard
View detailed cost analytics in your DeepCost dashboard: