Manage Open WebUI models, chat completions, RAG uploads, and Ollama operations via API.
npx skills add https://github.com/rbkayz/gitskills --skill open-webui
Please help me install this Agent Skill. Skill: open-webui Source: https://github.com/rbkayz/gitskills/tree/main/skills/registry/openclaw-open-webui Command: npx skills add https://github.com/rbkayz/gitskills --skill open-webui
This Skill streamlines interactions with Open WebUI, enabling seamless management of LLM models, chat completions, RAG workflows, and Ollama operations through its API.
Use the open-webui skill to list all available models.
High-intent search queries and answers about installing and using this skill.
You can manage LLM models in Open WebUI by using its API to list, pull, and delete models via the Ollama proxy. This requires setting the OPENWEBUI_URL and OPENWEBUI_TOKEN for authentication.
To use RAG workflows in Open WebUI, you can upload files through the API, process them, and add them directly to knowledge collections. This enables retrieval-augmented generation using your custom data.
Yes, you can send prompts to various models and receive chat completions through the Open WebUI API. This functionality operates via Ollama proxy operations integrated within the interface.
You need the OPENWEBUI_URL and OPENWEBUI_TOKEN environment variables to authenticate API requests. The integration supports Python 3.8+ with the requests library or direct curl commands.
Yes, Open WebUI supports generating images and processing audio through its API capabilities. You can access these features alongside chat completions, RAG integration, and model management.
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