For OpenClaw & Hermes Agents

Supercharged Agents.Up to 75% Savings.One Command Line.

Install once. Every agent call auto-routes. Up to 75% vs retail (illustrative).

Set up in 60 seconds

No SDK rewrite. No model selection logic. Just one env var.

1

Install

install yieldingbear in any OpenClaw or Hermes session.

install yieldingbear
2

Key

Set your API key. Routing starts on the next call.

YIELDINGBEAR_API_KEY=***
3

Ship

Easy → cheap models. Hard → frontier. No prompt rewrites.

Two real agents. Real daily bills.

We measured 30 days of production traffic on two flagship agents. Here's what YieldingBear routing did to each one.

OpenClaw agents logo

OpenClaw agents

Discord ops, mobile builds, customer support

200+ calls per session. Discord, builds, support, reviews — one key, auto-routed. No prompt changes.

Daily bill before:$14.20
After Yielding Bear:$2.10
85% saved
~240 calls/day
Setup
// In your OpenClaw session
install yieldingbear
export YIELDINGBEAR_API_KEY="***"
// Done. Every LLM call from this session now routes through Grizzly 1.0G.
Hermes agents logo

Hermes agents

Deep research, multi-step investigations, code gen

Long research runs. Lookups stay cheap; Claude/GPT only on the hard steps.

Daily bill before:$22.40
After Yielding Bear:$3.80
83% saved
~380 calls/day
Setup
yieldingbear.register(api_key="***")
// Or in your .env:
YIELDINGBEAR_API_KEY="***"
// All Hermes LLM calls auto-route. Override per-call with model= if needed.

What changes in your code

One line. That's it.

Beforealways-Claude, always full price
from anthropic import Anthropic

client = Anthropic(
    api_key=os.environ["ANTHROPIC_API_KEY"],
)

resp = client.messages.create(
    model="claude-3-5-sonnet-latest",
    max_tokens=1024,
    messages=[{"role": "user", "content": prompt}],
)

Every call is $3/$15 per 1M tokens. Summarization, classification, formatting — all priced the same.

AfterYielding Bear routes to the most efficient model
from openai import OpenAI

client = OpenAI(
    base_url="https://yieldingbear.com/api/v1",
    api_key=os.environ["YIELDINGBEAR_API_KEY"],
)

resp = client.chat.completions.create(
    model="grizzly-1.0g",  # ← that's it
    max_tokens=1024,
    messages=[{"role": "user", "content": prompt}],
)

Simple lookups land on Llama 8B. Hard reasoning escalates to Claude/GPT-4o. Net cost: ~65% lower on typical traffic.

Related: multi-model routing for agent builders

Yielding Bear is the AI model router behind agent runtimes — same gateway powers apps, OpenClaw/Hermes sessions, and SMB tooling.

Agent routing FAQ

What is Yielding Bear for AI agents?

An AI model router and agent runtime gateway. One API key powers LLM usage across OpenClaw, Hermes, and custom agents — Grizzly 1.0G routes each call to a capable, cost-efficient model.

How do I connect an agent to multi-model routing?

Install the Yielding Bear skill (or point any OpenAI-compatible SDK at https://yieldingbear.com/api/v1), set YIELDINGBEAR_API_KEY, and call grizzly-1.0g. No prompt rewrite required.

Is Yielding Bear free for agents?

Signup and API keys are free with no credit card. Model usage is pay-as-you-go via credits or Grizzly Pro ($99/mo, 25M tokens included).

Start saving on your agent's LLM bill today

Free API key. No card. First routed call in under 60 seconds.