Support agent
50M input + 15M output tokens / month
5–8 hops per resolved ticket
- Official (Claude Sonnet 4.6)
- $375.00/mo
- LumeAPI
- $225.00/mo
- Monthly savings
- $150.0040% off
AI Agent API
Build agents on GPT, Claude, and Gemini with lower per-hop token costs — switch models per step without three integrations.
Agents multiply tokens per user request. Lower catalog rates directly reduce cost-per-completed-task.
Official reference vs LumeAPI catalog rates. Pricing unit: per 1M input / output tokens. Last updated: July 2026. Source: provider list price.
Illustrative totals for claude-sonnet-4-6 using catalog list prices — your actual bill depends on retries, tool loops, and output length.
50M input + 15M output tokens / month
5–8 hops per resolved ticket
120M input + 40M output tokens / month
Tool loops with long context
A single user request in an agent product might trigger five to fifteen model calls with tools. A 40% lower per-hop rate changes unit economics more than shaving latency milliseconds.
Route cheap classification and planning to Flash or mini models; reserve Sonnet, Sol, or Opus for steps where errors cascade. Log model id per hop in your orchestrator and reconcile with LumeAPI Usage.
Read the linked Research article for formulas and scenarios; this commercial page is the conversion path to create a key and run first agent traffic.
LumeAPI is designed for developers who want to integrate without scheduling demos. Create an account, confirm your email, and open Console to generate an API key. Fund your USD wallet with USDT on supported chains when you are ready for billable traffic—there is no mandatory minimum beyond what your tests require.
Point your OpenAI-compatible client at https://api.lumeapi.site/v1, set Authorization to Bearer your key, and pass a catalog model id in the model field. Run a short curl or SDK script from /docs to verify latency, streaming, and error handling before you attach the key to production services.
Use Usage logs to reconcile per-call cost with finance forecasts. When a model tier is too expensive or quality is insufficient, change model id—not your entire integration. For cross-provider price tables and Research deep dives, follow internal links on this page rather than duplicating migration math here.
Every catalog model has a detail page under /models with official reference pricing, LumeAPI pricing, and links to /docs/models/{id} for parameters and curl examples. Start there when this commercial page points you to a model id you have not called before.
The /docs index lists gateway authentication, Chat Completions, image endpoints, and async video patterns. llms.txt bundles the same information for agent tooling—useful when you want a single URL to paste into Cursor or an internal bot.
Research articles explain why bills grow and how to compare providers; commercial pages like this one explain what LumeAPI offers and how to start. Follow internal links instead of searching for duplicate migration content across pages.
If billing, chain deposits, or integration behavior is unclear, use /contact for support channels. Include your model id, approximate request time, and whether the issue is authentication, balance, or model parameters—that speeds up resolution.
GPT, Claude, and Gemini catalog ids with published per-token or per-media rates — not obscure small models marketed as discounts.
Official reference vs LumeAPI columns on every commercial page. Your request model id matches Usage logs and billing.
One base URL for Chat Completions, image generations, and async video. Swap key, base URL, and model id — keep your SDK.
Top up with USDT, create keys in Console, and track per-call cost in Usage — no sales calls required.
Three values change: API key, base URL, model id. Everything else stays the same.
from openai import OpenAI
client = OpenAI(api_key="YOUR_OPENAI_API_KEY")
response = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)from openai import OpenAI
client = OpenAI(
api_key="YOUR_LUMEAPI_KEY",
base_url="https://api.lumeapi.site/v1",
)
response = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)Full step-by-step rollout, streaming checks, and FAQ: AI Agent API Bills Out of Control? →
API key, base URL (https://api.lumeapi.site/v1), and model id to a LumeAPI catalog entry. Message shape stays OpenAI-compatible for most apps.
Streaming, tool calling, JSON mode, and error handling on your heaviest models. Shadow 5–10% of traffic before full cutover.
Provider-native features (Anthropic Batch, Google Grounding, OpenAI Assistants) may require the official API. Test your exact payload.
Keep environment variables for base URL and model id. Switch back instantly if staging tests fail.
Supported on catalog text models — test your schema.
Change model id each request in your orchestration code.
Usage logs show model id and cost per hop.
No. Exact model id in request and logs.
Flash for cheap steps, Sonnet or Sol for hard reasoning.
Test tools on catalog models via Chat Completions.
40–50% lower rates compound across every agent hop.
Measure completed workflows, not single API calls.
Depends on workload. Compare Sonnet, Sol, and Flash on cost per completed task.
Yes — one key, swap model id per agent step.
See linked Research article for formulas and routing tips.
Yes — test stream resume in staging.
See /high-volume-llm-api.
See /coding-ai-api.
Route agent loops through https://api.lumeapi.site/v1. Need help choosing a model? Browse the developer docs or contact support.