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Compatible (BYOK)

Use OpenClaw with GlideflowAI.

A self-hosted personal agent that can route to compatible providers. Connect it through GlideflowAI's OpenAI-compatible API with a key you control.

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What this connection is for

OpenClaw is a self-hosted personal assistant project designed to connect models with messages, skills, and local or remote tools. Its attraction is autonomy and reach: an agent can be available across communication channels and can carry out multi-step work. Those same capabilities mean an OpenClaw deployment deserves the care of any internet-connected service with access to personal data or command execution.

OpenClaw documents custom OpenAI-compatible provider paths, including non-interactive onboarding for a custom base URL, key, and model ID. That is useful for technically experienced operators, but the surrounding deployment still matters. Keep the control plane private, understand which skills and channels are enabled, rotate exposed keys, and use a model key with only the access you intend to grant to this deployment.

This gallery marks OpenClaw Compatible (BYOK). The OpenAI-compatible provider route is documented, yet GlideflowAI does not claim a universal end-to-end test across the project's versions, installations, or connected channels. Connecting the two is a user-managed choice, not an official partnership or security certification.

Why pair it with GlideflowAI

A compatible provider can centralize model access under one gateway key while you retain ownership of the OpenClaw deployment and its controls.

GlideflowAI's public model menu and USD pricing give an operator a transparent starting point before assigning a model to an autonomous workflow.

Setup

Use a new API key for the tool, select a model from the catalog, and begin with a small task. Do not put a key in a repository, screenshot, or shared configuration file.

  1. Secure the deployment before adding a provider

    Use OpenClaw's current installation guidance to keep its control surface private, review enabled channels and skills, and decide what the agent is allowed to access. A model connection is not the first security step.

  2. Use OpenClaw's documented custom OpenAI-compatible onboarding

    For the current CLI flow, provide the custom base URL, API key, and model ID through the documented provider/onboarding controls.

    openclaw onboard --non-interactive \
      --mode local \
      --auth-choice vllm \
      --custom-base-url "https://api.glideflowai.com/v1" \
      --custom-api-key "sk-your-key" \
      --custom-model-id "glm-5.2"
  3. Validate in an isolated channel

    Start with a low-risk local or test channel and a narrow task. Review logs and tool permissions before connecting email, messaging, files, or other personal systems.

Before you begin: Manual check: verify the OpenClaw release, custom-provider onboarding command, and deployment security model before connecting real personal accounts.

Need the endpoint basics? Read authentication, browse the model catalog, or compare pricing.

Frequently asked questions

Why is the onboarding example labelled vllm?

OpenClaw's documented custom-compatible onboarding uses that path for a generic compatible endpoint. The important values are the custom URL, key, and model you provide.

Is the endpoint connection a security review?

No. Compatibility only covers the model protocol. You remain responsible for deployment security, channels, skills, and agent permissions.

Can I use this in a public control panel?

Do not expose control surfaces or keys publicly. Follow OpenClaw's current deployment and security guidance before enabling remote access.

Ready to connect OpenClaw?

Create a key, use the setup above, and verify the connection on a small task before you scale it up.

Get a key