See Inside Your Agent: Real-Time Streaming with Agentspan

Agentspan is an orchestration platform for building, importing, and observing durable AI agent workflows, supporting native SDK agents as well as integrations with LangGraph, the OpenAI Agents SDK, and Google ADK. Its `run()` method executes an agent synchronously and returns only a final result, while `stream()` yields real-time events for reasoning, tool calls, tool results, and completion, making it useful for debugging, progress interfaces, monitoring, and human-in-the-loop workflows. An operations-agent example shows how streaming exposes an investigation from service health checks through database-log analysis to a targeted service restart, whereas the final outcome from `run()` omits those intermediate actions. Agentspan also offers `start()` for asynchronous execution with later event consumption through a handle, which suits decoupled HTTP and WebSocket architectures. Streaming does not alter workflow durability because execution continues server-side if a client disconnects, although reconnecting resumes only current and future events rather than replaying prior ones; agents using decorated tools must also be registered with `runtime.serve()` so tool calls can be dispatched.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.