Getting Started
Quick Start Guide
From zero to production request in minutes: signup, free trial, first API call, and optimization.
8 minUpdated 2026-02-15
Summary
From zero to production request in minutes: signup, free trial, first API call, and optimization.
4 deep-dive sections1 code samples
Quick Start
- Create account and generate your first API key.
- Run first request in API Explorer.
- Use Chat mode for first production prompt.
- Track charges and latency in Usage.
What you get immediately
Every new account receives 40 free credits (7-day trial). One credit = one Chat request. No credit card required to start.
- OpenAI-style messages format (role + content)
- Chat, Compare, Blend, Judge, and Mesh modes
- Unified usage + charged credits visibility
- Optimization and replay workflows for policy tuning
Credits that last
Free trial credits expire after 7 days. Paid credits never expire — buy once, use whenever.
Prompt lifecycle
1
Client
Sends OpenAI-style request
2
LLMWise API
Auth, validation, policy routing
3
Model path
Auto/fixed/mesh failover execution
4
Usage settlement
Charged credits + latency log
10-minute setup
- Create account in
/sign-up— you receive 40 free credits instantly. - Generate an API key in
/keys. - Open
/api-explorerand run your first request. - Open
/chatand testAutomode. - Open
/usageto confirm charged credits and response latency.
First request
curl -X POST https://llmwise.ai/api/v1/chat \
-H "Authorization: Bearer mm_sk_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "auto",
"optimization_goal": "balanced",
"messages": [
{"role": "user", "content": "Give me a launch checklist for an AI API product."}
],
"stream": true
}'
What success looks like
In streaming mode, watch for a final done payload including:
finish_reasonresolved_modelcredits_chargedcredits_remaining
Activation path
Start with Chat mode first, then move to Mesh and Replay once you have enough request history to optimize routing.
Docs Assistant
ChatKit-style guided help
Product-scoped assistant for LLMWise docs and API usage. It does not answer unrelated topics.
Sign in to ask implementation questions and get runnable snippets.
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