Wisdom Synthesizer (Collective Wisdom Synthesizer)

An external pipeline filter (Pipeline/Filter) for Open WebUI that intercepts multi-model aggregate requests to leverage collective wisdom, reshaping basic and linear aggregate outputs into structured, high-contrast expert analysis reports.

🚀 Key Features

Smart Interception: Automatically catches Open WebUI's “Summarize various models' responses” requests.
Dynamic Parsing: Strips away generic formatting and precisely extracts the original user query and each model's individual response.
Wisdom Fusion: Directs the summary model to act as a “Chief Analyst”, enforcing a critical evaluation workflow instead of generic merging.
Standardized Output Structure: Guarantees output layout includes:
- 【Core Consensus】: Aggregated common ground across models.
- 【Key Divergences】: Comparative breakdown of different perspectives/approaches.
- 【Unique Insights】: Spotlighting innovative points found in a single model.
- 【Synthesis & Recommendation】: An action-oriented, blended strategy set.

📦 Installation & Usage (Pipelines Mode)

Important

Prerequisite: This plugin relies on the official open-webui/pipelines framework. Please ensure your Open WebUI backend is already connected to an active pipelines runner environment beforehand.

This plugin runs as a single-file pipeline filter component and supports importing with just a single click:

🚀 One-Click Import via URL (Recommended 🌟)

Log into your Open WebUI board, go to Admin settings -> Pipelines tab.
Click “Add Pipeline” and paste the GitHub Raw link of wisdom_synthesizer.py into the address bar.
Save configurations to load automatically.

Below is the visual operational guide for getting it loaded:

⚙️ Valves Configuration

Configuration items inside safe Valves toggles:

Parameter	Default	Description
`pipelines`	`["*"]`	Target model IDs to apply this Filter to （Keep default for global）
`priority`	`0`	Filter pipeline execution order priority (lower numbers execute first).
`model_id`	`None`	(Optional) Force the summarize job to run on a dedicated high-spec summary model.
`trigger_prefix`	`You have been provided...`	Pre-set phrase to trigger interception. Usually requires no changes.
`query_start_marker`	`'the latest user query: "'`	Anchor used to locate the start of the original query.
`query_end_marker`	`'"\n\nYour task is to'`	Anchor used to locate the end of the original query.
`response_start_marker`	`"Responses from models: "`	Anchor used to locate where the model responses begin.

Tip

Configuration Tip: The default ["*"] allows the filter to securely adapt to any aggregator models chosen on the fly. In most scenarios, keeping this default configuration is highly recommended.

If you're building inside the Open WebUI ecosystem, you might find my other plugins sets helpful:

🚀 openwebui-extensions —— A comprehensive collection of Actions, Pipes, and Tools to supercharge your workspace.
🪄 open-webui-prompt-plus —— Enhances Prompt engineering with AI-powered generators, Spotlight-style searches, and interactive forms.

📄 License

MIT License

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