Discussion: Add Filter and Search to AI Catalog (Flow/Agent Pages)

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Add Filter and Search to AI Catalog (Flow/Agent Pages)

Problem

The AI Catalog currently lacks filtering and search capabilities, making it difficult for users to find relevant flows and agents as the catalog grows.

Current Data Model

• Name (searchable)
• Description (searchable)
• Public (boolean - filterable)
• User prompt (kind of searchable but doubtable how valueable that is?)
• System prompt (kind of searchable but doubtable how valueable that is?)

Goals

1. Primary: Define Filter/Search Criteria

Determine what fields would be most valuable for filtering and searching:

Potential new fields to consider:

• LLM Models used (e.g., GPT-4, Claude, Llama)
• Tools/Integrations (e.g., API calls, databases, external services)
• Categories/Tags (e.g., "customer support", "data analysis", "content generation")
• Author/Team
• Creation/Modified date
• Usage stats (if available)

Questions to answer:

• Which fields would provide the most user value?
• What metadata can we reasonably extract from existing prompts?
• Should we prioritize technical filters (LLM/tools) or functional ones (categories)?

2. Secondary: Prioritization Decision

Determine if this is: ~~ -Must-have ~~ ~~- Should-have ~~ ~~- Could-have ~~

Decision made: it's a "could have"

Out of Scope

• Implementation of the actual filter/search functionality
• UI/UX design for the feature