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Documentation Index

Fetch the complete documentation index at: https://docs.savegate.ai/llms.txt

Use this file to discover all available pages before exploring further.

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API Keys

SaveGate uses API keys to authenticate requests. You can obtain your API key from the SaveGate Dashboard after creating an account.
1

Create Account

Sign up at app.savegate.ai
2

Generate API Key

Navigate to the API Keys section in your dashboard and click “Create New Key”
3

Copy Your Key

Copy the API key and store it securely - you won’t be able to see it again

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Using Your API Key

Include your API key in the Authorization header of all API requests: 
from openai import OpenAI

client = OpenAI(
    api_key="sk-savegate-xxxxxxxxxxxxx",
    base_url="https://api.savegate.ai/v1"
)

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Best Practices

  • Never commit API keys to version control
  • Use environment variables to store keys
  • Rotate keys regularly
  • Don’t share keys in public forums or chat
Store your API key in environment variables:
.env
SAVEGATE_API_KEY=sk-savegate-xxxxxxxxxxxxx
Then load it in your code:
Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("SAVEGATE_API_KEY"),
    base_url="https://api.savegate.ai/v1"
)
Node.js
import OpenAI from 'openai';
import * as dotenv from 'dotenv';

dotenv.config();

const client = new OpenAI({
  apiKey: process.env.SAVEGATE_API_KEY,
  baseURL: 'https://api.savegate.ai/v1'
});
  • Generate a new API key periodically
  • Update your applications with the new key
  • Revoke the old key after migration
  • Set up key rotation alerts in your dashboard
  • Track API usage in your dashboard
  • Set up billing alerts
  • Monitor for unusual activity
  • Review access logs regularly

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API Key Format

SaveGate API keys follow this format: 
sk-savegate-[random-string]
  • All keys start with sk-savegate-
  • The random string is 32 characters long
  • Keys are case-sensitive

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Managing API Keys

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Creating Additional Keys

You can create multiple API keys for different applications or environments:
  1. Go to your Dashboard
  2. Navigate to API Keys
  3. Click “Create New Key”
  4. Give it a descriptive name (e.g., “Production App”, “Development”)
  5. Copy and store the key securely

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Revoking Keys

If an API key is compromised:
  1. Go to your Dashboard
  2. Navigate to API Keys
  3. Find the compromised key
  4. Click “Revoke” or the delete icon
  5. The key will be immediately deactivated
Revoking a key is permanent and will immediately stop all requests using that key. Make sure to update your applications before revoking active keys.

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Error Handling

Common authentication errors and how to fix them:

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401 Unauthorized

{
  "error": {
    "message": "Invalid API key",
    "type": "invalid_request_error",
    "code": "invalid_api_key"
  }
}
Causes:
  • API key is missing
  • API key is invalid or malformed
  • API key has been revoked
Solution: Verify your API key is correct and has not been revoked.

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429 Rate Limit Exceeded

{
  "error": {
    "message": "Rate limit exceeded",
    "type": "rate_limit_error"
  }
}
Causes:
  • Too many requests in a short time period
  • Account limits exceeded
Solution: Implement exponential backoff and retry logic. Check your rate limits in the dashboard.

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Security Recommendations

Use HTTPS Only

Always use HTTPS when making API calls to protect your API key in transit.

Backend Only

Never expose API keys in client-side code (frontend JavaScript, mobile apps).

Principle of Least Privilege

Use separate API keys for different environments and applications.

Monitor Activity

Regularly review API usage logs for suspicious activity.

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Example: Secure Setup

Here’s a complete example of a secure setup: 
# config.py
import os
from dotenv import load_dotenv

load_dotenv()

SAVEGATE_API_KEY = os.getenv("SAVEGATE_API_KEY")
if not SAVEGATE_API_KEY:
    raise ValueError("SAVEGATE_API_KEY environment variable not set")

# main.py
from openai import OpenAI
from config import SAVEGATE_API_KEY

client = OpenAI(
    api_key=SAVEGATE_API_KEY,
    base_url="https://api.savegate.ai/v1"
)

def chat(message):
    try:
        response = client.chat.completions.create(
            model="gpt-4",
            messages=[{"role": "user", "content": message}]
        )
        return response.choices[0].message.content
    except Exception as e:
        print(f"Error: {e}")
        return None

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Need Help?

If you’re having trouble with authentication: