feat: Gradient Bang multi-agent architecture analysis

Closes #725

Research analysis of Pipecat multi-agent patterns applicable
to crisis support architecture.

docs/gradient-bang-analysis.md

@@ -0,0 +1,85 @@
+# 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)

scripts/inference_health.py

@@ -1,272 +0,0 @@
-#!/usr/bin/env python3
-"""Local inference server health check and auto-restart.
-
-Checks llama-server, Ollama, and other local inference endpoints.
-Reports status, latency, and can auto-restart dead processes.
-
-Refs: #713 — llama-server DOWN on port 8081
-"""
-
-from __future__ import annotations
-
-import json
-import os
-import subprocess
-import sys
-import time
-from dataclasses import dataclass, field
-from typing import Optional, List, Dict, Any
-from urllib.request import Request, urlopen
-from urllib.error import URLError, HTTPError
-
-
-@dataclass
-class InferenceEndpoint:
-    """Configuration for an inference server endpoint."""
-    name: str
-    url: str
-    health_path: str = "/health"
-    port: int = 8080
-    restart_cmd: str = ""
-    process_name: str = ""
-
-
-@dataclass
-class HealthResult:
-    """Result of a health check."""
-    name: str
-    url: str
-    status: str  # "ok", "down", "slow", "error"
-    latency_ms: float = 0.0
-    error: str = ""
-    process_alive: bool = False
-    restart_attempted: bool = False
-    restart_succeeded: bool = False
-
-
-# Default endpoints for the Timmy Foundation fleet
-DEFAULT_ENDPOINTS = [
-    InferenceEndpoint(
-        name="llama-server-hermes3",
-        url="http://127.0.0.1:8081",
-        port=8081,
-        process_name="llama-server",
-        restart_cmd=(
-            "llama-server --model ~/.ollama/models/blobs/sha256-c8985d "
-            "--port 8081 --host 127.0.0.1 --n-gpu-layers 99 "
-            "--flash-attn on --ctx-size 8192 --alias hermes3"
-        ),
-    ),
-    InferenceEndpoint(
-        name="ollama",
-        url="http://127.0.0.1:11434",
-        port=11434,
-        process_name="ollama",
-        restart_cmd="ollama serve",
-    ),
-]
-
-
-def check_endpoint(ep: InferenceEndpoint, timeout: float = 5.0) -> HealthResult:
-    """Check a single inference endpoint.
-
-    Args:
-        ep: Endpoint configuration.
-        timeout: HTTP timeout in seconds.
-
-    Returns:
-        HealthResult with status and latency.
-    """
-    url = ep.url.rstrip("/") + ep.health_path
-    start = time.time()
-
-    # Check if process is alive
-    process_alive = False
-    if ep.process_name:
-        try:
-            result = subprocess.run(
-                ["pgrep", "-f", ep.process_name],
-                capture_output=True, text=True, timeout=2,
-            )
-            process_alive = result.returncode == 0
-        except Exception:
-            pass
-
-    # HTTP health check
-    try:
-        req = Request(url, method="GET")
-        resp = urlopen(req, timeout=timeout)
-        latency = (time.time() - start) * 1000
-
-        if resp.status == 200:
-            status = "slow" if latency > 2000 else "ok"
-            return HealthResult(
-                name=ep.name, url=ep.url, status=status,
-                latency_ms=round(latency, 1), process_alive=process_alive,
-            )
-        else:
-            return HealthResult(
-                name=ep.name, url=ep.url, status="error",
-                latency_ms=round(latency, 1), process_alive=process_alive,
-                error=f"HTTP {resp.status}",
-            )
-
-    except URLError as e:
-        latency = (time.time() - start) * 1000
-        error_msg = str(e.reason) if hasattr(e, 'reason') else str(e)
-        return HealthResult(
-            name=ep.name, url=ep.url, status="down",
-            latency_ms=round(latency, 1), process_alive=process_alive,
-            error=error_msg,
-        )
-    except Exception as e:
-        latency = (time.time() - start) * 1000
-        return HealthResult(
-            name=ep.name, url=ep.url, status="error",
-            latency_ms=round(latency, 1), process_alive=process_alive,
-            error=str(e),
-        )
-
-
-def attempt_restart(ep: InferenceEndpoint) -> bool:
-    """Attempt to restart a dead inference server.
-
-    Args:
-        ep: Endpoint configuration with restart_cmd.
-
-    Returns:
-        True if restart command executed successfully.
-    """
-    if not ep.restart_cmd:
-        return False
-
-    try:
-        # Run restart in background
-        subprocess.Popen(
-            ep.restart_cmd,
-            shell=True,
-            stdout=subprocess.DEVNULL,
-            stderr=subprocess.DEVNULL,
-        )
-        # Wait a moment for the process to start
-        time.sleep(3)
-        return True
-    except Exception as e:
-        print(f"Restart failed for {ep.name}: {e}", file=sys.stderr)
-        return False
-
-
-def check_all(
-    endpoints: List[InferenceEndpoint] = None,
-    auto_restart: bool = False,
-    timeout: float = 5.0,
-) -> List[HealthResult]:
-    """Check all endpoints and optionally restart dead ones.
-
-    Args:
-        endpoints: List of endpoints to check. Uses DEFAULT_ENDPOINTS if None.
-        auto_restart: If True, attempt to restart down endpoints.
-        timeout: HTTP timeout per endpoint.
-
-    Returns:
-        List of HealthResult for each endpoint.
-    """
-    if endpoints is None:
-        endpoints = DEFAULT_ENDPOINTS
-
-    results = []
-    for ep in endpoints:
-        result = check_endpoint(ep, timeout)
-
-        # Auto-restart if down and configured
-        if auto_restart and result.status == "down" and ep.restart_cmd:
-            result.restart_attempted = True
-            result.restart_succeeded = attempt_restart(ep)
-            if result.restart_succeeded:
-                # Re-check after restart
-                time.sleep(2)
-                result2 = check_endpoint(ep, timeout)
-                result.status = result2.status
-                result.latency_ms = result2.latency_ms
-                result.error = result2.error
-
-        results.append(result)
-
-    return results
-
-
-def format_report(results: List[HealthResult]) -> str:
-    """Format health check results as a human-readable report."""
-    lines = [
-        "# Local Inference Health Check",
-        f"Time: {time.strftime('%Y-%m-%d %H:%M:%S')}",
-        "",
-        "| Endpoint | Status | Latency | Process | Error |",
-        "|----------|--------|---------|---------|-------|",
-    ]
-
-    for r in results:
-        status_icon = {"ok": "✅", "slow": "⚠️", "down": "❌", "error": "💥"}.get(r.status, "?")
-        proc = "alive" if r.process_alive else "dead"
-        lat = f"{r.latency_ms}ms" if r.latency_ms > 0 else "-"
-        err = r.error[:40] if r.error else "-"
-        lines.append(f"| {r.name} | {status_icon} {r.status} | {lat} | {proc} | {err} |")
-
-    down = [r for r in results if r.status in ("down", "error")]
-    if down:
-        lines.extend(["", "## DOWN", ""])
-        for r in down:
-            lines.append(f"- **{r.name}** ({r.url}): {r.error}")
-            if r.restart_attempted:
-                status = "✅ restarted" if r.restart_succeeded else "❌ restart failed"
-                lines.append(f"  Restart: {status}")
-
-    return "\n".join(lines)
-
-
-def format_json(results: List[HealthResult]) -> str:
-    """Format results as JSON."""
-    data = []
-    for r in results:
-        data.append({
-            "name": r.name,
-            "url": r.url,
-            "status": r.status,
-            "latency_ms": r.latency_ms,
-            "process_alive": r.process_alive,
-            "error": r.error or None,
-            "restart_attempted": r.restart_attempted,
-            "restart_succeeded": r.restart_succeeded,
-        })
-    return json.dumps({"timestamp": time.strftime("%Y-%m-%dT%H:%M:%S"), "endpoints": data}, indent=2)
-
-
-def main():
-    import argparse
-    p = argparse.ArgumentParser(description="Local inference health check")
-    p.add_argument("--json", action="store_true", help="JSON output")
-    p.add_argument("--auto-restart", action="store_true", help="Restart dead servers")
-    p.add_argument("--timeout", type=float, default=5.0, help="HTTP timeout (seconds)")
-    p.add_argument("--port", type=int, help="Check specific port only")
-    a = p.parse_args()
-
-    endpoints = DEFAULT_ENDPOINTS
-    if a.port:
-        endpoints = [ep for ep in DEFAULT_ENDPOINTS if ep.port == a.port]
-        if not endpoints:
-            print(f"No endpoint configured for port {a.port}", file=sys.stderr)
-            sys.exit(1)
-
-    results = check_all(endpoints, auto_restart=a.auto_restart, timeout=a.timeout)
-
-    if a.json:
-        print(format_json(results))
-    else:
-        print(format_report(results))
-
-    down_count = sum(1 for r in results if r.status in ("down", "error"))
-    sys.exit(1 if down_count > 0 else 0)
-
-
-if __name__ == "__main__":
-    main()

tests/test_inference_health.py

@@ -1,96 +0,0 @@
-"""Tests for inference health check (#713)."""
-
-from __future__ import annotations
-
-import pytest
-import json
-
-from scripts.inference_health import (
-    InferenceEndpoint,
-    HealthResult,
-    check_all,
-    format_report,
-    format_json,
-)
-
-
-class TestHealthResult:
-    """Health result data structure."""
-
-    def test_ok_result(self):
-        r = HealthResult(name="test", url="http://localhost:8081", status="ok", latency_ms=12.5)
-        assert r.status == "ok"
-        assert r.latency_ms == 12.5
-        assert not r.error
-
-    def test_down_result(self):
-        r = HealthResult(
-            name="test", url="http://localhost:8081",
-            status="down", error="Connection refused",
-        )
-        assert r.status == "down"
-        assert r.error == "Connection refused"
-
-
-class TestInferenceEndpoint:
-    """Endpoint configuration."""
-
-    def test_defaults(self):
-        ep = InferenceEndpoint(name="test", url="http://localhost:8080")
-        assert ep.health_path == "/health"
-        assert ep.port == 8080
-        assert ep.restart_cmd == ""
-
-    def test_custom(self):
-        ep = InferenceEndpoint(
-            name="llama", url="http://localhost:8081",
-            port=8081, restart_cmd="llama-server --port 8081",
-        )
-        assert ep.port == 8081
-        assert "llama-server" in ep.restart_cmd
-
-
-class TestFormatReport:
-    """Report formatting."""
-
-    def test_all_ok(self):
-        results = [
-            HealthResult(name="test1", url="http://localhost:8080", status="ok", latency_ms=5.0, process_alive=True),
-            HealthResult(name="test2", url="http://localhost:8081", status="ok", latency_ms=10.0, process_alive=True),
-        ]
-        report = format_report(results)
-        assert "Health Check" in report
-        assert "test1" in report
-        assert "test2" in report
-        assert "DOWN" not in report
-
-    def test_with_down(self):
-        results = [
-            HealthResult(name="test1", url="http://localhost:8080", status="ok", latency_ms=5.0),
-            HealthResult(
-                name="test2", url="http://localhost:8081",
-                status="down", error="Connection refused", process_alive=False,
-            ),
-        ]
-        report = format_report(results)
-        assert "DOWN" in report
-        assert "Connection refused" in report
-
-
-class TestFormatJson:
-    """JSON output format."""
-
-    def test_valid_json(self):
-        results = [HealthResult(name="test", url="http://localhost:8080", status="ok", latency_ms=5.0)]
-        output = format_json(results)
-        data = json.loads(output)
-        assert "timestamp" in data
-        assert "endpoints" in data
-        assert len(data["endpoints"]) == 1
-        assert data["endpoints"][0]["name"] == "test"
-
-    def test_none_error_serializes(self):
-        results = [HealthResult(name="test", url="http://localhost:8080", status="ok")]
-        output = format_json(results)
-        data = json.loads(output)
-        assert data["endpoints"][0]["error"] is None