Trace Neuron agent execution with Inspector APM observability.
npx skills add https://github.com/neuron-core/neuron-ai --skill neuron-debugger
Please help me install this Agent Skill. Skill: neuron-debugger Source: https://github.com/neuron-core/neuron-ai/tree/main/skills/neuron-debugger Command: npx skills add https://github.com/neuron-core/neuron-ai --skill neuron-debugger
## What problem does it solve? Debugging and monitoring Neuron AI applications is simplified by Inspector APM and the framework's observability system, providing clear insight into agent execution, tool usage, and performance bottlenecks.
## Core Features & Use Cases
### Quick Start Install Inspector, configure the ingestion key, and run an agent to start collecting and viewing execution data.
High-intent search queries and answers about installing and using this skill.
You can debug Neuron AI agent execution by integrating Inspector APM to trace tool calls, LLM inferences, and workflow nodes end-to-end. Basic tracking requires no code changes, only configuring the Inspector ingestion key.
Observability in Neuron AI uses a static EventBus for event monitoring, allowing you to attach custom observers to collect telemetry on agent execution steps and diagnose performance bottlenecks.
No code changes are required for basic tracking of LLM inference latency. You simply install Inspector, configure the ingestion key, and run your agent to start collecting and viewing execution data.
Yes, you can extend basic tracking by configuring custom observers via the EventBus to log specific agent workflow events, tailoring telemetry for diagnosing errors and poor response quality.
The best way to diagnose poor response quality is using Inspector APM logging and tracing capabilities to analyze production errors, export execution diagrams, and review workflow node performance bottlenecks.
High latency during tool calls can be diagnosed by running the agent with Inspector APM integration, which provides end-to-end execution tracing to pinpoint performance bottlenecks across workflow nodes.
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