Router

Route workflow

Intelligently direct workflow execution to different paths based on input analysis. Use AI to determine the most appropriate next step in your workflow based on content, intent, or specific criteria.

Core Blocksrouter

Usage

01Add the block to your workflow and connect it to the upstream step.
02Configure any required credentials or tokens in the inputs.
03Fill in required inputs and optional parameters for the run.
04Run a test execution, inspect outputs, and iterate before deploying.
05Deploy the router block with monitoring enabled in production.

Inputs (UI)

Prompt

long-input

Placeholder: Route to the correct block based on the input...

Layout: full

Model

dropdown

Layout: half

Options: Dynamic options

API Key

short-input

Placeholder: Enter API key or use $ENV_VAR — managed via Model Settings

Layout: full

Condition: model = ["gpt-4o","gpt-4o-mini","gpt-4.1","gpt-4.1-mini","gpt-5","gpt-5-mini","gpt-5-nano","gpt-5.2","gpt-5.4","o3-mini","o4-mini","o3","o1-mini","o1-preview","claude-opus-4-6","claude-sonnet-4-6","claude-opus-4-5-20251101","claude-sonnet-4-5-20250929","claude-opus-4-1-20250805","claude-sonnet-4-20250514","claude-opus-4-20250514","claude-haiku-4-5-20251001","gemini-3.1-pro-preview","gemini-3-flash-preview","gemini-3.1-flash-lite-preview","gemini-2.5-pro","gemini-2.5-flash","gemini-2.5-flash-lite","gemini-2.0-flash","gemini-2.0-flash-lite","deepseek-chat","deepseek-reasoner","grok-4-latest","grok-3","grok-3-mini","cerebras/llama-3.3-70b","llama-4-scout-17b-16e-instruct","llama-4-maverick-17b-128e-instruct","deepseek-r1-distill-llama-70b","qwen-qwq-32b","llama-3.3-70b-versatile"]

System Prompt

code

Layout: full

Hidden by default

Inputs (API)

prompt

string

Required

model

string

Required

apiKey

string

Required

Outputs

Primary response type:

{
  "content": "string",
  "model": "string",
  "tokens": "json",
  "selectedPath": "json"
}

Tool Access

openai_chatanthropic_chatgoogle_chatxai_chatdeepseek_chatdeepseek_reasoner