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General

Build AI agents with simple code. Define handlers, add tools, and get REST APIs automatically. Already using LangChain or LangGraph? Wrap your existing agents with one line.
  • Invoke: Stateless. Send input, get output. No conversation history.
  • Chat: Conversational. Send message history, get a response with updated history.
See Agents for details.
Reminix supports:
  • LangChain and LangGraph
  • Vercel AI SDK
  • OpenAI SDK (including Assistants)
  • Anthropic SDK
  • LlamaIndex (Python only)
  • Native Reminix Agents (lightweight, no framework needed)
Yes! Reminix offers a free tier for development and testing. Check the pricing page for details.

Technical

Default rate limits:
  • 60 requests per minute
  • 10,000 requests per day
Need higher limits? Contact us at support@reminix.com.
  • Request body: 10 MB
  • Response body: 50 MB
  • Timeout: 30 seconds (use streaming for longer tasks)
Yes! Both invoke and chat support streaming via Server-Sent Events. Enable with stream: true. See Streaming for details.
Yes. When deploying agents, set your OpenAI, Anthropic, or other API keys as environment variables in the dashboard. Reminix never sees or stores your LLM provider keys in plain text.
Yes. All data is encrypted in transit (TLS) and at rest. We don’t train on your data or share it with third parties. See our Security page for details.
Reminix currently runs in:
  • US East (us-east-1)
  • EU West (eu-west-1)
More regions coming soon.

Troubleshooting

Check that:
  1. The agent name is spelled correctly (case-sensitive)
  2. The agent is deployed successfully (check dashboard)
  3. You’re using the correct API key for the project
Default timeout is 30 seconds. For long-running tasks:
  1. Enable streaming to get partial results
  2. Break up the task into smaller chunks
  3. Increase timeout in agent configuration (max 5 minutes)
If you hit rate limits:
  1. Implement exponential backoff
  2. Cache responses when possible
  3. Contact us for higher limits
Common causes:
  1. Missing dependencies - Check requirements.txt or package.json
  2. Syntax errors - Test locally before deploying
  3. Missing environment variables - Ensure API keys are set in Project Settings → Secrets
Check deployment logs in the dashboard for details.
Ensure:
  1. You’re passing stream: true in the request
  2. Your client handles Server-Sent Events
  3. No proxies are buffering the response

Billing

Usage is based on:
  • Executions: Number of invoke/chat calls
  • Compute time: Duration of agent execution
  • AI credits: If using managed agents (Reminix-hosted models)
Yes. In the dashboard, go to SettingsBillingSpending Limits to set monthly caps.
You’ll receive email warnings at 80% and 100% usage. At 100%, requests may be throttled until the next billing cycle or you upgrade.

Still have questions?