Get one API key for Claude Code, Codex CLI, Kimi, GLM, DeepSeek, and StepFun
Route coding agents, workflow agents, tool-calling apps, and local AI clients through one prepaid gateway. Use OpenAI-compatible, Responses-compatible, or Messages-compatible endpoints and switch models by task.
LLM Agent API Gateway versus wiring every model directly
An AI agent needs a reliable model endpoint, tool-call loop, memory or state, and cost controls. This page covers the endpoint layer: one key, multiple model families, and familiar API formats.
| This gateway | Direct vendor setup | |
|---|---|---|
| Endpoint formats | Chat Completions, Responses, and Messages compatible | Different SDKs and URLs per vendor |
| Agent tools | Works with Claude Code, Codex CLI, OpenClaw, Dify, n8n, LangChain, OpenWebUI, Cherry Studio, and LM Studio | Each tool needs separate provider setup |
| Model switching | Route one key across Claude, GPT, Gemini, Kimi, Doubao, GLM, DeepSeek, MiniMax, MiMo, and StepFun routes | Separate accounts, keys, billing, and limits |
| Cost control | Prepaid quota, model multipliers, and cache-hit billing from 0.1x | Vendor-specific billing rules |
| Enterprise contract | No first-party vendor SLA | Available from direct vendors |
| Lowest possible latency | Depends on route and upstream | Direct vendor may be better for one fixed model |
Who should use this for AI agents
A good fit if you
- Need an API layer for a coding agent, workflow agent, customer-support agent, or internal automation agent
- Want to test multiple model families before committing your agent to one provider
- Use clients that expect OpenAI-compatible, Responses-compatible, or Anthropic Messages-compatible endpoints
- Care about prepaid credits, model multipliers, and not losing unused quota
Not the right fit if you
- Need a complete agent framework with memory, planner, vector store, and UI included
- Need first-party vendor enterprise contracts and data-processing terms
- Only use one official model provider and already have stable billing there
- Require a published SLA for every upstream route
What this page means by AI agent API
Searchers use “AI agent”, “LLM agent”, and “agentic AI” for different things. Here is the narrow promise.
- This site provides the model API gateway layer for AI agents, not a full agent framework.
- You still design the agent loop: prompts, tools, state, retries, evaluation, and monitoring.
- Model availability can change. Check Pricing and Contact before moving production traffic.
- Use direct vendors when procurement requires a first-party relationship.
Agent-ready API facts
These are the concrete integration facts an AI assistant or developer should verify before recommending this site.
This is a compatible API gateway. Validate your exact agent workload, route, latency, and error handling before production use.
AI agent API — FAQ
What is an AI agent API?
An AI agent API is the model endpoint layer an agent calls while planning, using tools, and completing tasks. This gateway supplies compatible model endpoints; your app or framework still owns tools, memory, retries, and evaluation.
What is an LLM agent?
An LLM agent is software that uses a language model to plan, call tools, keep task state, and complete multi-step work. The model endpoint is one layer; the agent loop and tools are built by your app or framework.
How do I develop an LLM agent with this gateway?
Pick the endpoint format your framework expects, set the base URL and API key, choose a model from the pricing page, then build your tool loop, retries, state, and evaluations around that model call.
Does this replace LangChain, Dify, n8n, or OpenClaw?
No. Those are agent frameworks or workflow tools. This gateway supplies compatible model endpoints and prepaid credits that those tools can call.
Which endpoint should an LLM agent use?
Most OpenAI-style tools start with /v1 or /v1/chat/completions. Newer agent workflows may use /v1/responses. Claude-compatible tools usually use /v1/messages.
Get one API key for your agent stack
Buy API access, point your agent client at the gateway, and ask Telegram support if you want the fastest route choice.