each::labs Documentation

each::labs is a generative media platform for developers and AI agents. Get access to 500+ production-ready AI models with just one API key.

Products

each::api

Direct model access. Run image, video, audio, and 3D generation models from a single endpoint. Async predictions with webhook delivery.

each::workflows

Multi-step pipelines. Chain models together with parameter passing, versioning, fallback configs, and bulk execution.

each::sense

AI agent interface. OpenAI-compatible endpoint that understands natural language, auto-selects models, generates media, and builds workflows.

LLM Router

One endpoint, 300+ LLMs. OpenAI, Anthropic, Google, and more. OpenAI-compatible, just swap the base URL.

MCP Server

Connect to Cursor, Claude Desktop, Windsurf, and more. Generate media without ever leaving your IDE.

Quick Start

Get your API key

Generate an image

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "nano-banana-pro",
    "input": {
      "prompt": "A cinematic landscape at golden hour",
      "aspect_ratio": "16:9"
    }
  }'

import requests

response = requests.post(
    "https://api.eachlabs.ai/v1/prediction",
    headers={"X-API-Key": "YOUR_API_KEY"},
    json={
        "model": "nano-banana-pro",
        "input": {
            "prompt": "A cinematic landscape at golden hour",
            "aspect_ratio": "16:9"
        }
    }
)

prediction_id = response.json()["predictionID"]

const response = await fetch("https://api.eachlabs.ai/v1/prediction", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "X-API-Key": "YOUR_API_KEY",
  },
  body: JSON.stringify({
    model: "nano-banana-pro",
    input: {
      prompt: "A cinematic landscape at golden hour",
      aspect_ratio: "16:9",
    },
  }),
});

const { predictionID } = await response.json();

Or use the AI agent

Skip model selection entirely and let each::sense handle it for you:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://eachsense-agent.core.eachlabs.run/v1"
)

response = client.chat.completions.create(
    model="eachsense/beta",
    messages=[{"role": "user", "content": "Generate a cinematic landscape at golden hour"}],
)

Base URLs

Product	Base URL	Protocol	Status
each::api	`https://api.eachlabs.ai`	REST	Canonical api-service host
each::workflows	`https://workflows.eachlabs.run/api/v1`	REST	Workflows-engine host; planned to route through `https://api.eachlabs.ai`
each::sense	`https://eachsense-agent.core.eachlabs.run`	REST + SSE	Current each::sense host
LLM Router	`https://api.eachlabs.ai/v1`	REST + SSE	Canonical api-service host

For AI Agents

each::sense is fully OpenAI-compatible. Just point any agent framework at the base URL with your API key and you’re good to go:

# Works with LangChain, CrewAI, AutoGen, or any OpenAI-compatible client
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://eachsense-agent.core.eachlabs.run/v1"
)

Machine-readable documentation index available at /llms.txt.

Authentication

API key setup and security best practices.

Error Reference

HTTP status codes and error handling across all products.

​Products