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chat-models

chat-models

Route chat, model-selection, prompt, streaming, and provider-integration workflows in Open WebUI.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: chat-models description: "Route chat, model-selection, prompt, streaming, and provider-integration workflows in Open WebUI." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

Chat and Models

Use this sub-skill for Open WebUI's day-to-day chat experience, provider setup, model routing, prompt behavior, and playback of model interactions.

When to use this sub-skill

Use chat-models when the user asks about:

  • choosing or changing models in the chat UI
  • connecting Ollama, OpenAI-compatible, or hosted model providers
  • prompt, chat-variable, or message-flow behavior
  • streaming responses, multi-model chats, playground usage, or evaluation hooks
  • provider / model routing errors that are not file, plugin, or admin problems

Read these bundled files first

  • references/workflows.md for the workflow map and provider/model patterns.
  • references/troubleshooting.md for provider, model, prompt, and streaming failures.
  • ../deployment/references/deployment.md if the user still needs to get the app running first.
  • ../../references/configuration.md for the cross-cutting environment variables.

Core capabilities

  • Provider routing between local and hosted model backends.
  • Model selection and model access control.
  • Chat prompt handling and variable normalization.
  • Streaming and responses plumbing.
  • Playground-style testing and evaluation hooks.

Typical user questions

  • "How do I point Open WebUI at Ollama?"
  • "How do I connect an OpenAI-compatible provider?"
  • "Why does the model not show up in chat?"
  • "Why is the response timing out or streaming poorly?"
  • "How do I configure fallback or passthrough behavior?"

Important boundaries

  • File uploads, folders, notes, memories, and retrieval belong to knowledge-files.
  • Plugins, functions, tools, skills, pipelines, and multimodal add-ons belong to extensions.
  • Auth, groups, users, SCIM, storage, and telemetry belong to admin-collaboration.
  • Docker or secret-key startup issues belong to deployment unless the only issue is a model/provider variable.

Success shape

A future agent should be able to:

  1. Identify the model/provider signal in the request.
  2. Explain which provider settings matter.
  3. Give a concrete chat-side recovery path.
  4. Distinguish model routing failures from general startup, file, or admin failures.
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