A comprehensive, zero-dependency Python integration for the OpenAI REST API covering text, image, audio, and assistant management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openai
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 openai 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 OpenAI Integration?
This OpenAI integration provides a robust bridge between AI agents and the complete suite of OpenAI services. Built using only the Python standard library, it ensures maximum compatibility and security without the overhead of external dependencies. It empowers developers to build sophisticated Openclaw Skills that can generate text with GPT-4o, create visual assets with DALL-E 3, and process audio with Whisper and TTS engines.
Beyond basic chat functions, this skill includes deep integration for managing AI assistants, handling file uploads for fine-tuning, and performing content moderation. It is designed for high-performance agentic workflows where speed and reliability are paramount, offering a clean CLI interface that integrates seamlessly into larger automation pipelines.
OpenAI Integration Use Cases
- Creating automated customer support bots using the assistants and chat completion endpoints.
- Building semantic search engines by generating text-embedding-3 vectors.
- Developing multimodal applications that transcribe voice notes and generate image-based content.
- Customizing model behavior through programmatic fine-tuning job management.
- Monitoring API costs and resource consumption via the usage tracking command.
How OpenAI Integration Works
- The skill initializes by authenticating with the OpenAI REST API using a securely stored environment variable.
- Users or agents trigger specific subcommands like chat, embed, or transcribe through the CLI.
- The script formats the input data into a JSON payload and sends it directly to OpenAI's endpoints.
- Responses are received and parsed from the API in real-time.
- The output is delivered to stdout as structured JSON for easy piping into other Openclaw Skills or formatted as human-readable text for manual review.
OpenAI Integration Setup
To get started with this skill, ensure your environment is correctly configured:
- Obtain an API key from the OpenAI platform.
- Set the required environment variable in your terminal:
export OPENAI_API_KEY='your-api-key-here'
- Execute any command using the provided script path:
python3 scripts/openai.py chat "Hello world" --model gpt-4o
OpenAI Integration Data Schema & Taxonomy
The skill maintains a stateless architecture to prioritize security and privacy within the Openclaw Skills ecosystem.
| Component | Description |
|---|---|
| Input Format | CLI arguments and flags (e.g., --model, --size, --voice). |
| Output Format | Default JSON for automation; optional Human-readable text via --human. |
| Data Storage | Zero local storage; all data resides on OpenAI servers or is returned to the user. |
| Metadata | Includes model details, file IDs, and fine-tuning status. |
OpenAI Integration Advanced Features
- Support for the latest frontier models including GPT-4o and o1 reasoning models.
- Full assistant API support for building complex, stateful agent interactions.
- Integrated speech-to-text (Whisper) and text-to-speech (TTS) capabilities.
- Comprehensive file management system for handling training data and assistant resources.
- Native moderation checks to ensure safety and compliance in AI-generated responses.
SKILL.md
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