Agentic Inference,
Simplified.

OpenAI-compatible API for specially curated agentic models. Built for OpenClaw - no need to worry about base models or versions, just get things done.

Why PLS?

Built for developers who want agentic capabilities without the complexity

🤖

Agentic Models

Models designed for autonomous tasks - reasoning, planning, tool use, and complex workflows.

🔌

OpenAI Compatible

Use the same SDKs and endpoints you already know. Drop-in replacement for your existing code.

🎯

Curated & Optimized

We handle the model selection and optimization. You get consistent, reliable performance.

🦀

OpenClaw Native

Built to work seamlessly with OpenClaw's agentic task runner. Plug into your existing workflow.

Get Started in Seconds

Standard OpenAI API compatibility - you probably already have the client

example.py
import openai

client = openai.OpenAI(
    api_key="your-api-key-here",
    base_url="https://api.pls.beyondbits.dev/v1"
)

response = client.chat.completions.create(
    model="agentic",  # Our agentic model handles the complexity
    messages=[
        {"role": "user", "content": "Plan and execute a research workflow on X's new AI features"}
    ]
)

print(response.choices[0].message.content)
with OpenClaw
# PLS integrates with your OpenClaw deployment
# Configure the base_url in your gateway settings

openai:
  api_key: ${PLS_API_KEY}
  base_url: https://api.pls.beyondbits.dev/v1

# Your OpenClaw agent now uses agentic models by default
# - Web research & analysis
# - Tool orchestration
# - Complex multi-step workflows