Stream Exo agent output with event-rich telemetry for live dashboards.
npx skills add https://github.com/midsphere-ai/exo --skill exo-streaming
Please help me install this Agent Skill. Skill: exo:streaming Source: https://github.com/midsphere-ai/exo/tree/main/skills/streaming Command: npx skills add https://github.com/midsphere-ai/exo --skill exo-streaming
Real-time visibility into Exo agent streams is essential for building responsive UIs, debugging complex interactions, and monitoring swarm execution. This Skill provides a clean, standardized streaming interface that exposes a rich set of event types and easy-to-consume telemetry.
Start streaming an agent and render the incoming events in real time.
High-intent search queries and answers about installing and using this skill.
Streaming real-time agent telemetry events for live dashboards involves consuming a standardized interface that exposes rich event types like TextEvent, StepEvent, and UsageEvent. This provides immediate observability into agent execution directly from the output stream.
When logging real-time LLM agent output, available events include TextEvent, ToolCallEvent, ToolCallDeltaEvent, StepEvent, UsageEvent, StatusEvent, ErrorEvent, ContextEvent, MCPProgressEvent, ReasoningEvent, MessageInjectedEvent, RalphIterationEvent, and RalphStopEvent for full execution visibility.
Yes, you can filter agent streaming events to monitor specific tool call outputs by limiting the stream to selected event types. This enables targeted debugging and UI rendering without processing irrelevant telemetry data from the overall execution.
ToolContext forwarding for inner agent observability passes inner agent events through tools directly to the outer stream. This creates end-to-end visibility across swarm execution without losing telemetry granularity from nested agent interactions.
Real-time streaming supports detailed tool call delta events for debugging through ToolCallDeltaEvent. Enabling detailed telemetry mode provides deeper diagnostic granularity for monitoring tool execution steps and live UI development.
Avoid real-time event streaming for agent monitoring when you only need final execution results, as processing rich per-event telemetry introduces overhead. If your context lacks live UI or swarm debugging requirements, standard logging is more efficient.
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