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Closes #725

Research analysis of Pipecat multi-agent patterns applicable
to crisis support architecture.
2026-04-15 03:02:00 +00:00

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# Gradient Bang — Multi-Agent Architecture Analysis
## Research Source
- **Repo:** https://github.com/pipecat-ai/gradient-bang
- **Stars:** 127 | **Forks:** 24 | **License:** Apache 2.0
- **Framework:** Pipecat (realtime voice AI)
- **Relevance:** HIGH — Multi-agent patterns applicable to crisis support
## Architecture Overview
Gradient Bang is a multiplayer universe where every entity is an AI agent. Players interact via voice with their ship\'s AI. The architecture demonstrates sophisticated multi-agent coordination patterns.
### Agent Types
| Agent | Role | Pattern |
|-------|------|---------|
| MainAgent | Transport pipeline owner (STT/TTS) | Orchestrator |
| VoiceAgent | Player voice conversation handler | Conversational |
| TaskAgent | Autonomous background worker | Worker |
| EventRelay | Game event subscriber + router | Pub/Sub |
| UIAgent | Autonomous UI control | Sidecar |
### Bus Communication Pattern
```
VoiceAgent ──bus──► TaskAgent ──bus──► EventRelay
│ │ │
└──────────────────┴───────────────────┘
Shared State
```
Agents communicate via a message bus. No direct coupling. Events are published and subscribed to asynchronously.
### Key Patterns
#### 1. Pipeline Separation
MainAgent owns the STT/TTS pipeline but delegates reasoning to VoiceAgent. Separation of transport from intelligence.
#### 2. Task Spawning
TaskAgent runs autonomous tasks in background. VoiceAgent can spawn tasks without blocking the conversation.
#### 3. Event Relay
EventRelay subscribes to game events and routes them to interested agents. Pub/Sub pattern for loose coupling.
#### 4. Parallel UI
UIAgent updates UI independently of conversation flow. Non-blocking visual updates.
## Applicable to Crisis Support
### Pattern 1: Crisis Detection Agent
```
UserMessage --> CrisisAgent (fast pattern match)
├── Crisis detected? --> 988Response (immediate)
└── No crisis? --> VoiceAgent (normal flow)
```
### Pattern 2: Escalation Relay
```
CrisisAgent --> EscalationRelay --> HumanNotifier
│ │
└── Log event └── Telegram alert
```
### Pattern 3: Parallel Resource Loading
```
CrisisDetected --> Par[
Load988Info(),
LoadLocalResources(),
FormatResponse()
]
```
## Implementation Recommendations
1. **Separate crisis detection from response** — Fast pattern match before expensive LLM call
2. **Use message bus for escalation** — Decouple detection from notification
3. **Parallel resource loading** — Load 988 info, local resources, and format simultaneously
4. **Event sourcing** — Log all crisis detections for audit
## Files
- `docs/gradient-bang-analysis.md` — This document
- `agent/crisis_bus.py` — Message bus for crisis events (proposed)