import { TokenSaver } from '@tokensaver/mcp-client';

// Initialize TokenSaver
const tokenSaver = new TokenSaver({
  apiKey: 'ts_live_your_api_key_here',
  projectId: 'your-project-id'
});

// Wrap your AI calls
const response = await tokenSaver.track(async () => {
  return await openai.chat.completions.create({
    model: 'gpt-4',
    messages: [{ role: 'user', content: 'Hello!' }]
  });
}, {
  agentName: 'support-agent',
  userId: 'user-123'
});

from tokensaver import TokenSaver

# Initialize TokenSaver
ts = TokenSaver(
    api_key="ts_live_your_api_key_here",
    project_id="your-project-id"
)

# Decorator to track AI calls
@ts.track(agent_name="content-generator")
def generate_content(prompt):
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}]
    )
    return response

POST https://api.tokensaver.ai/v1/track
Authorization: Bearer ts_live_your_api_key_here
Content-Type: application/json

{
  "project_id": "your-project-id",
  "agent_name": "support-agent",
  "model": "gpt-4",
  "tokens_used": 1234,
  "prompt_tokens": 1000,
  "completion_tokens": 234,
  "cost": 0.0247
}

Real-time Monitoring

Track every AI request, token usage, and costs in real-time with detailed breakdowns.

Smart Insights

AI-powered suggestions to reduce tokens: shorter prompts, context optimization, model selection.

Hot Spot Detection

Automatically identify expensive requests and get alerts when costs spike unexpectedly.

Auto-Optimization

Compress prompts, remove redundancy, cache common queries - all automatically applied.

Cost Forecasting

Predict monthly costs based on usage patterns and get budget alerts before overspending.

Model Comparison

Compare costs across GPT-4, GPT-3.5, Claude, etc. Get suggestions for cheaper alternatives.

Average Savings with TokenSaver

Based on 1,000+ active projects