{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2678",
  "slug": "uber-platform-for-thousands-of-agents",
  "title": "Uber built a platform layer for thousands of agents",
  "description": "Uber's internal approach focuses on common protocols, evaluation, identity, observability, and policy instead of one mandated agent framework.",
  "observed_at": "2026-07-13",
  "why_it_matters": "At enterprise scale, governance and shared runtime services become more durable than the framework used to implement any one agent.",
  "novelty": "structural",
  "verification_level": "source-linked",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2678,
  "telegram_url": "https://t.me/qwgai/2678",
  "topics": [
    "enterprise-agents",
    "agent-platform",
    "observability",
    "mcp"
  ],
  "entities": [
    "Uber",
    "Agent Protocol"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://youtube.com/watch?v=n9j4SaF37V0",
    "https://github.com/langchain-ai/agent-protocol"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/uber-platform-for-thousands-of-agents/",
    "markdown": "https://newruntime.com/signals/uber-platform-for-thousands-of-agents.md",
    "json": "https://newruntime.com/signals/uber-platform-for-thousands-of-agents.json"
  },
  "source_format": "telegram-export-normalized-json"
}