A unified API gateway to access 12+ AI model providers for chat, vision, and media generation through a single, streamlined interface.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dreamer-llm
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dreamer-llm using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Dreamer LLM is a versatile integration designed for Openclaw Skills that provides a single interface to interact with the world's leading AI models. Instead of managing dozens of individual API keys and navigating disparate SDKs for Anthropic, OpenAI, xAI, and others, developers can leverage a streamlined endpoint at api.dr.eamer.dev. This skill simplifies the process of building multi-model applications, enabling seamless provider switching and comparative analysis to find the best model for any specific task within your Openclaw Skills workflow.
By unifying access to providers like Mistral, Cohere, and Perplexity, Dreamer LLM reduces the architectural overhead for developers. Whether you are generating images, converting text to speech, or conducting complex vision analysis, this skill provides a consistent framework for all your generative AI needs.
To get started with this skill, obtain an API key from dr.eamer.dev. Once you have your key, configure your environment using the following command:
export DREAMER_API_KEY=your_key_here
Ensure this variable is accessible to your environment to enable authenticated requests. You can verify your setup by calling the models endpoint to see all available providers supported by Openclaw Skills.
Dreamer LLM uses a standardized JSON schema for all interactions, making it easy to swap models without changing your core logic.
| Parameter | Type | Description |
|---|---|---|
| provider | String | The model host (e.g., anthropic, openai, xai, groq, ollama) |
| model | String | The specific model identifier (e.g., claude-sonnet-4-5-20250929) |
| messages | Array | A list of chat message objects containing roles and content |
| image_url | String | The URL of the image to be processed during vision analysis |
| text | String | The input string used for text-to-speech generation |
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