Does it impact AI agent performance?

The instrumentation is highly lightweight and uses deferred monkey-patching to ensure minimal overhead during active agent sessions.

Do I need to modify my agent's source code?

No, Toad Telemetry works via a wrapper script or import hooks, requiring no manual changes to the core agent logic.

Which backends are supported by this skill?

It supports any OTLP-compliant collector, including local instances of Jaeger, Grafana Tempo, and cloud platforms like Honeycomb.

Can I disable telemetry without uninstalling?

Yes, you can toggle telemetry off at any time by setting the TOAD_TELEMETRY_ENABLED environment variable to 0.

What is Toad Telemetry used for?

It provides deep observability into AI agent sessions by tracking tool calls, timing, and errors using OpenTelemetry standards.

Toad Telemetry Observability

Name: Toad Telemetry Observability
Author: plurigrid

byplurigrid

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분석 및 모니터링

Integrates comprehensive OpenTelemetry instrumentation into Batrachian Toad AI agent sessions for deep observability and performance tracking.

Toad Telemetry provides full-stack visibility into the Batrachian Toad AI agent environment by capturing detailed traces of every tool interaction and agent turn. By utilizing deferred monkey-patching of core agent functions, it automatically exports granular spans to any OTLP-compliant backend like Jaeger, Honeycomb, or Grafana Tempo. This skill is essential for developers who need to debug complex autonomous workflows, monitor execution latency for file and terminal operations, and analyze session lifecycles to improve the reliability of their AI agents.

주요 기능

01Seamless integration with Jaeger, Honeycomb, and OTLP backends

02Automatic error capturing and exception state reporting

03Turn-by-turn timing and prompt-to-response cycle monitoring

047 GitHub stars

05Per-tool span tracking for Bash, Read, and Write operations

06Lightweight deferred monkey-patching to prevent circular imports

사용 사례

01Debugging failed AI agent tool calls or unexpected terminal behavior

02Optimizing agent performance by identifying latency bottlenecks in multi-turn interactions

03Auditing long-running autonomous agent sessions for production reliability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi toad-telemetry

For use in Claude.ai and ChatGPT