From 06d63d37bfa21efe969081c4c66864fa384cc582 Mon Sep 17 00:00:00 2001 From: AlexAI Date: Wed, 25 Feb 2026 16:59:33 -0600 Subject: [PATCH] vault backup: 2026-02-25 16:59:33 --- WORK/Projects/Agent Orchestrator.md | 79 +++++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 WORK/Projects/Agent Orchestrator.md diff --git a/WORK/Projects/Agent Orchestrator.md b/WORK/Projects/Agent Orchestrator.md new file mode 100644 index 0000000..e8ffd07 --- /dev/null +++ b/WORK/Projects/Agent Orchestrator.md @@ -0,0 +1,79 @@ +# Agent Orchestrator + +*Origin: Frontend design skill test evolved into a real work project idea* + +## Problem Statement + +We have multiple AI agents at work but no unified interface: +- Natural language SQL search agents +- Company knowledge base agents +- [Likely others...] + +Users currently bounce between different interfaces or don't know which agent to use for their query. + +## Solution Concept + +A single **Orchestrator** interface that: +- Provides one entry point for all agent queries +- Intelligently routes requests to the appropriate specialized agent +- Shows visual feedback of the routing decision +- Maintains conversation context across agent handoffs +- Allows manual agent override when needed + +## Visual Direction + +From the initial frontend test: +- Dark corporate aesthetic with warm gold accents +- Editorial typography (Crimson Pro + Plus Jakarta Sans) +- **Key feature**: Visual orchestration flow showing the handoff in real-time +- Sidebar with specialized agents (color-coded by function) +- Auto-resizing input with agent selector + +## Current Agent Inventory + +| Agent | Function | Status | +|-------|----------|--------| +| SQL Search | Natural language to SQL queries | Active | +| Knowledge Base | Company docs/knowledge search | Active | +| [Others?] | | | + +## Architecture Thoughts + +### Intent Classification +- Route to "sql" when query involves data/tables/metrics +- Route to "knowledge" when query asks about policies/procedures +- Fallback to general or multi-agent mode + +### Context Persistence +- Conversation thread maintained across agent handoffs +- Results from one agent can inform another +- Shared memory for the full session + +### Agent Registry +- Dynamic discovery of available agents +- Each agent defines its capabilities and routing triggers +- Easy to add new agents + +## Open Questions + +- [ ] What agents exist beyond SQL and knowledge? +- [ ] How do agents currently expose their APIs? +- [ ] Authentication/authorization model? +- [ ] Self-hosted vs SaaS deployment? +- [ ] Existing tech stack constraints? + +## Next Steps + +1. Inventory all existing agents and their interfaces +2. Define the orchestrator API contract +3. Determine routing logic (LLM-based vs rules-based) +4. Build POC with 2-3 agents +5. Design system architecture diagram + +## Related Files + +- Initial UI prototype: `frontend/subagent-orchestrator-chat/index.html` + +--- + +*Elaborate further here...*