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ChatOrcaRouter

Description

OrcaRouter is an OpenAI-compatible LLM router that exposes 150+ models behind a single endpoint, with a workspace-configurable auto router that picks the best upstream per request based on price, latency, quality, and rate-limit signals.

Prerequisites

  1. Sign up at https://www.orcarouter.ai.
  2. Create an API key at the OrcaRouter console. Keys begin with sk-orca-.
  3. Browse the full model catalog at https://www.orcarouter.ai/models.

Step by Step Guide

  1. Chat Models > Drag the ChatOrcaRouter node.
  2. Click Connect Credential and create a new credential with your OrcaRouter API key.
  3. Pick a model from the Model Name dropdown, which is fetched live from the OrcaRouter catalog with orcarouter/auto as the default option (the workspace router). You can also type any model id from the OrcaRouter catalog.
  4. Connect ChatOrcaRouter to an LLM Chain, Conversational Agent, or other downstream node and run the chatflow.

Routing notes

  • orcarouter/auto is a virtual router name, not a model. Configure its routing strategy (cheapest, balanced, quality, adaptive, gated_adaptive) and pool membership at https://www.orcarouter.ai/console/routing.
  • Reasoning models such as anthropic/claude-opus-4.8, the OpenAI gpt-5 family, and deepseek/deepseek-reasoner reject the temperature field. Leave Temperature blank for those models.
  • For self-hosted OrcaRouter-O2 deployments, override the Base Path under Additional Parameters.