Integrate DigitalOcean's Gradient Serverless Inference into your AI agent workflows for high-performance LLM chat and image generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gradient-inference
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install gradient-inference using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Gradient Inference for DigitalOcean?
This skill provides a bridge to DigitalOcean's Gradient AI platform, allowing developers to leverage powerful large language models and image generation without the overhead of managing GPU infrastructure. By utilizing Openclaw Skills, you can seamlessly integrate OpenAI-compatible endpoints directly into your automation pipelines.
The skill includes dedicated scripts for model discovery, cost estimation, and advanced prompt caching via the Responses API, ensuring efficient and cost-effective AI operations. It is designed for developers who want the flexibility of serverless AI with the reliability of DigitalOcean's cloud ecosystem.
Gradient Inference for DigitalOcean Use Cases
- Executing serverless LLM chat completions with OpenAI-compatible architecture.
- Generating high-quality AI images using DALL-E 3 and other hosted models via Openclaw Skills.
- Reducing operational costs through prompt caching and automated model pricing lookups.
- Scaling AI-driven applications on DigitalOcean's infrastructure without managing servers.
How Gradient Inference for DigitalOcean Works
- The skill authenticates with DigitalOcean using a Model Access Key stored in environment variables.
- Users can discover active models and real-time pricing using the provided discovery scripts.
- Prompts are sent to the Gradient Inference API via standard chat completion or the optimized Responses API.
- The Responses API can optionally cache prompts to save on token costs for repeated queries during long sessions.
- Generated text or image data is returned to the agent for further processing or storage.
Gradient Inference for DigitalOcean Setup
To get started, obtain a Model Access Key from the DigitalOcean Console (Gradient AI -> Model Access Keys). Then, configure your environment and install the necessary Python dependencies:
export GRADIENT_API_KEY="your-model-access-key"
pip install requests beautifulsoup4
You can verify the connection and see available models by running:
python3 gradient_models.py
Gradient Inference for DigitalOcean Data Schema & Taxonomy
The skill organizes its operations through specialized scripts and local caching mechanisms to ensure performance:
| Resource | Description | Format |
|---|---|---|
gradient_models.py |
Fetches available LLM models and capability metadata | JSON / Pretty Table |
gradient_pricing.py |
Scrapes live pricing data from DigitalOcean documentation | JSON / Pretty Table |
/tmp/gradient_pricing_cache.json |
Local storage for pricing data to minimize network requests | JSON |
gradient_chat.py |
Main interface for text generation, supporting standard and Responses API | CLI Output |
Gradient Inference for DigitalOcean Advanced Features
- Native prompt caching support via the Responses API to significantly minimize token usage in iterative workflows.
- Real-time pricing scraper that fetches up-to-date cost data directly from official documentation without requiring an API key.
- Full OpenAI compatibility, allowing these Openclaw Skills to be swapped into existing AI integrations with minimal configuration.
- Machine-readable JSON output mode for all CLI tools, facilitating seamless chaining with other automation agents.
SKILL.md
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