open-webui/pipelines

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2428 stars · 687 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Pipelines is a UI-agnostic, OpenAI API-compatible plugin framework for adding custom Python logic and workflows to any client that speaks the OpenAI API spec. It is an Open WebUI initiative for offloading computationally heavy tasks like custom RAG, function calling, and message filtering from the main UI instance.

Use cases

• add custom logic to an openai-compatible llm endpoint
• build a custom rag pipeline with llamaindex
• monitor llm messages with langfuse or opik
• add rate limiting to llm requests
• filter toxic messages in chat responses
• offload heavy model inference from open webui
• implement function calling filters for llm apps

When to choose

• you need to offload computationally heavy tasks from your Open WebUI instance
• you want custom Python pipelines compatible with any OpenAI API client
• you need advanced filters like rate limiting, translation, or toxicity detection

When to avoid

• you just want to add providers like Anthropic or simple filters - use Open WebUI Functions instead
• your client does not support pipe-type pipelines and you need filter features
• you need a lightweight solution without running a separate service

Facets

framework · maturity active

middleware api-framework rag agent-framework rate-limiting monitoring llm-inference large-language-models backend apis developer-tools python self-hosted cross-platform openai-compatible open-webui plugin-framework llm-pipelines filter-pipelines ai-agents retrieval-augmented-generation docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="open-webui/pipelines")