Does running a reliable production agent with robust observability actually require stitching together CrewAI, Temporal, Browserbase (if a browser is involved), and Langfuse?

I am mapping out the architecture for a multi-agent workflow that needs to run reliably for hours, interact with the web, and remain auditable. Looking at the current ecosystem, it feels like building a serious, long-running agent requires duct-taping a highly fragmented stack: CrewAI / LangGraph for the agent logic and reasoning loops. Temporal for durable execution, state persistence, and crash recovery. Browserbase for the headless infrastructure, proxies, and session management. Langfuse for LLM tracing and observing the agent's tree of thought. For those running autonomous workflows in production today, is this just the reality of the stack? Do you really have to wire up four different platforms just to keep one complex agent stable and observable, or is there a more unified runtime that handles this under one control plane?