Documentation Index

Fetch the complete documentation index at: https://docs.tydli.io/llms.txt

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

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Rate Limits & Quotas

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Overview

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User Rate Limits

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Free Tier

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Paid Tiers

• More active deployments
• Higher endpoints per deployment limit
• Increased request quotas
• Higher gallery deployment limits
• Priority support
• Custom limits available for enterprise

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Checking Your Limits

1. Dashboard Header: Shows current usage as percentage
2. Settings Page: Detailed breakdown of limits
3. API Response: Rate limit headers on every request

X-RateLimit-Limit: 250
X-RateLimit-Remaining: 187
X-RateLimit-Reset: 1704110400

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Request Rate Limits

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Per-User Limits

• Window: Rolling 60-minute window
• Enforcement: Per user_id
• Applies to: All MCP server requests
• Reset: Continuous rolling window

• Window: Calendar month (UTC)
• Enforcement: Per user_id
• Applies to: All MCP server requests
• Reset: 1st day of month at 00:00 UTC

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Rate Limit Response

HTTP/1.1 429 Too Many Requests
Content-Type: application/json
Retry-After: 3600

{
  "error": "RATE_LIMIT_EXCEEDED",
  "message": "Hourly rate limit exceeded",
  "details": "You have exceeded 20 requests per hour. Please try again later.",
  "request_id": "abc-123-def",
  "limits": {
    "requests_this_hour": 21,
    "hourly_limit": 20,
    "requests_this_month": 234,
    "monthly_limit": 1000,
    "retry_after_seconds": 3600
  }
}

1. Check Retry-After header (seconds until reset)
2. Implement exponential backoff
3. Cache responses to reduce requests
4. Consider upgrading plan if consistently hitting limits

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OAuth Rate Limits

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OAuth-Specific Limits

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OAuth Limit Response

HTTP/1.1 429 Too Many Requests
Content-Type: application/json
Retry-After: 600

{
  "error": "rate_limit_exceeded",
  "error_description": "Too many token requests. Please try again in 600 seconds."
}

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OAuth Best Practices

• Cache access tokens until expiration
• Use refresh tokens to get new access tokens
• Implement exponential backoff on 429 responses
• Monitor token usage in your application

• Request new tokens for every API call
• Ignore refresh token flow
• Retry immediately on 429 errors
• Create multiple OAuth clients unnecessarily

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IP-Based Rate Limits

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Public Endpoint Protection

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IP Rate Limit Response

HTTP/1.1 429 Too Many Requests
Content-Type: application/json
Retry-After: 60

{
  "error": "rate_limit_exceeded",
  "error_description": "Too many requests from this IP address",
  "retry_after": 60,
  "request_id": "abc-123-def"
}

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Blocked IP Response

HTTP/1.1 403 Forbidden
Content-Type: application/json

{
  "error": "access_denied",
  "error_description": "IP address blocked",
  "request_id": "abc-123-def"
}

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Best Practices for Public Endpoints

• ✅ Implement client-side rate limiting
• ✅ Use exponential backoff on 429 responses
• ✅ Consider upgrading to OAuth authentication for production use
• ✅ Monitor usage patterns in deployment logs
• ✅ Contact support if you believe an IP block is in error

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Deployment Limits

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Active Deployments

• Free Tier: 10 active deployments
• Paid Tiers: See your plan details

• Active (counts toward limit): generating, deploying, ready
• Inactive (doesn’t count): stopped, error, archived

• Cannot create new deployments until existing ones are stopped or deleted
• Error message: "Maximum active deployments reached"
• Solution: Stop unused deployments or upgrade plan

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Endpoints per Deployment

• Free Tier: 50 endpoints per deployment
• Total across all deployments: 100 endpoints
• Enforcement: At deployment creation time

• If your OpenAPI spec exceeds endpoint limits, consider:
  • Splitting into multiple smaller specs
  • Removing rarely-used endpoints
  • Upgrading to a higher tier

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AI Processing Limits

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Document Processing

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AI Limit Response

{
  "error": "QUOTA_EXCEEDED",
  "message": "Daily AI processing limit exceeded",
  "details": "You have used 5 of 5 daily AI document processing credits. Limit resets at midnight UTC.",
  "request_id": "abc-123-def",
  "usage": {
    "daily_usage": 5,
    "daily_limit": 5,
    "remaining": 0,
    "resets_at": "2025-01-05T00:00:00Z"
  }
}

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Checking AI Usage

SELECT * FROM ai_usage_tracking 
WHERE user_id = auth.uid() 
  AND request_date = CURRENT_DATE;

SELECT * FROM get_ai_usage_summary(auth.uid());

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Quota Management

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Monitoring Usage

1. Dashboard: Header shows current usage percentage
2. Deployment Logs: Track individual request counts
3. Usage Analytics: Detailed breakdown per deployment

SELECT * FROM get_current_usage(auth.uid());

SELECT * FROM check_rate_limits(auth.uid());

SELECT * FROM check_and_log_rate_limits(auth.uid());

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Usage Optimization

• Cache responses: Store frequently-accessed data
• Batch operations: Combine multiple calls when possible
• Use webhooks: Instead of polling for changes
• Implement pagination: Request smaller data sets

• Stop unused deployments: Free up quota
• Consolidate APIs: Combine related specs
• Remove redundant endpoints: Trim unused operations

• Pre-process documents: Clean up before upload
• Use OpenAPI directly: Skip AI if you have specs
• Batch document conversion: Plan conversions efficiently

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Plan Upgrades

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When to Upgrade

• Consistently hit rate limits
• Need more than 10 active deployments
• Require higher endpoint counts
• Process more than 5 AI documents daily
• Need priority support

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How to Upgrade

1. Navigate to Billing page in dashboard
2. Review available plans and features
3. Select plan that fits your needs
4. Update payment information
5. Instant upgrade (no downtime)

• Limits increase immediately after upgrade
• Usage tracking continues without reset
• Existing deployments remain operational
• No data migration required

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Rate Limit Headers

X-RateLimit-Limit: 250          # Total requests allowed per window
X-RateLimit-Remaining: 187      # Requests remaining in current window
X-RateLimit-Reset: 1704110400   # Unix timestamp when window resets
X-RateLimit-Period: hour        # Time period: 'hour' or 'month'

const response = await fetch(mcpServerUrl, { headers });

const limit = parseInt(response.headers.get('X-RateLimit-Limit'));
const remaining = parseInt(response.headers.get('X-RateLimit-Remaining'));
const reset = parseInt(response.headers.get('X-RateLimit-Reset'));

if (remaining < 10) {
  console.warn(`Approaching rate limit: ${remaining}/${limit} remaining`);
}

if (response.status === 429) {
  const retryAfter = parseInt(response.headers.get('Retry-After'));
  console.log(`Rate limited. Retry in ${retryAfter} seconds`);
  // Implement exponential backoff
}

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Troubleshooting

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”Rate limit exceeded” errors

1. Check Retry-After header for wait time
2. Implement exponential backoff in your code
3. Review recent usage in dashboard
4. Consider upgrading plan if persistent

• Cache responses to reduce redundant requests
• Batch operations to minimize API calls
• Optimize client code to avoid unnecessary requests
• Monitor usage trends and plan capacity

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”Maximum deployments reached”

1. Stop unused deployments (status → stopped)
2. Delete archived deployments
3. Consolidate similar APIs into one deployment
4. Upgrade to plan with higher deployment limit

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”Too many endpoints”

1. Remove unused endpoints from OpenAPI spec
2. Split large API into multiple deployments
3. Upgrade to plan with higher endpoint limit
4. Use separate deployments for different API versions

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AI processing quota exceeded

1. Wait until midnight UTC for quota reset
2. Use pre-existing OpenAPI specs when available
3. Pre-process documents to reduce complexity
4. Upgrade to plan with higher AI limits

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Database Functions Reference

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Check Rate Limits

-- Check if user can make requests
SELECT * FROM check_rate_limits(auth.uid());
-- Returns: within_hourly_limit, within_monthly_limit, requests_this_hour, 
--          hourly_limit, requests_this_month, monthly_limit

-- Check and log rate limit status
SELECT * FROM check_and_log_rate_limits(auth.uid());
-- Returns: within_limits, warning_threshold_reached, current_usage (JSON)

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Get User Limits

-- Get current plan limits
SELECT * FROM get_user_limits(auth.uid());
-- Returns: max_deployments, max_endpoints_per_deployment, max_total_endpoints,
--          requests_per_month, requests_per_hour, plan_name

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Check Deployment Capacity

-- Check if user can create new deployment
SELECT * FROM can_create_deployment(auth.uid(), estimated_endpoint_count);
-- Returns: can_create, reason, current_deployments, max_deployments,
--          current_endpoints, max_total_endpoints

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Get Current Usage

-- Get user's current usage statistics
SELECT * FROM get_current_usage(auth.uid());
-- Returns: deployment_count, total_endpoint_count, requests_this_hour,
--          requests_this_month

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Support

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Getting Help

1. Check Documentation: Review this guide and Troubleshooting
2. View Logs: Check deployment logs for specific error details
3. Monitor Dashboard: Track usage patterns in analytics
4. Contact Support: Provide request_id from error response

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Enterprise Plans

• Custom deployment limits
• Dedicated infrastructure
• Higher rate limits
• SLA guarantees
• Priority support
• Custom integrations

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References

• User Guide - Getting started guide
• API Reference - Complete API documentation
• Troubleshooting - Common issues and solutions
• Security - Security guidelines