AI AGENTS API
Build AI agents, one API.
Give a model your tools and let it decide when to call them. DeepSeek, Qwen, gpt-oss and Llama take the OpenAI tools format on one API.
Hand this to your agent
Add a Runcrate model to this project: run curl -fsSL"https://runcrate.ai/agents.md?intent=build"and follow it.
Your agent asks for an API key. Create a key
Quick start
Hand it to your agent. Or read the request it sends.
Your agent writes and runs it. The same key works for every model and every GPU.
Available models
Models you can call today. Billed prices, as charged.
| Model | Maker | Price | Detail |
|---|---|---|---|
| deepseek-ai/DeepSeek-V4-Pro | DeepSeek | $1.37 in, $2.73 out per 1M tokens | Reliable function calling, 1M context |
| meta-llama/Llama-4-Scout-17B-16E-Instruct | Meta | $0.105 in, $0.315 out per 1M tokens | MoE, efficient agent loops |
Why Runcrate
Built for production. One key, one balance.
OpenAI tools format
Standard OpenAI function calling format. Define tools with JSON Schema, the model decides when and how to call them. Works with LangChain, CrewAI, and every OpenAI-compatible agent framework.
Parallel tool calls
Models can request multiple tool calls in a single response. Execute them concurrently for faster agent loops and reduced round trips.
Multi-model agents
Use different models for different agent tasks. DeepSeek for reasoning, DeepSeek V4 Pro for long agent runs, Llama for fast tool dispatch. One API key covers all.
Works with MCP clients
An agent framework that speaks MCP can hand its tools to these models through the standard tools parameter.
FAQ