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Jwrede/llmprobe

by Various

Synthetic monitoring and CI smoke tests for LLM inference endpoints.

J

MCP

Jwrede/llmprobe

Added 1 June 2026

#anthropic #golang #llm #llmops #observability #openai #prometheus #sre

Overview

Jwrede/llmprobe is a Go tool for synthetic monitoring and CI smoke tests of LLM inference endpoints. It sends predefined prompts to an endpoint and checks the responses against expected patterns or latency thresholds.

Best for

Best for
Developers who need a minimal, scriptable smoke test for LLM endpoints in CI or monitoring pipelines.

Use cases

  • Verify an LLM endpoint is responding correctly after a deployment
  • Run periodic health checks on production inference services
  • Integrate into CI pipelines to catch regressions before release

Notes

Jwrede/llmprobe is a Go tool for synthetic monitoring and CI smoke tests of LLM inference endpoints. It sends predefined prompts to an endpoint and checks the responses against expected patterns or latency thresholds.

1 stars on GitHub. Last updated 2026-05-16. Licensed MIT.

Use cases

  • Verify an LLM endpoint is responding correctly after a deployment
  • Run periodic health checks on production inference services
  • Integrate into CI pipelines to catch regressions before release

Pros

  • Lightweight Go binary with no external dependencies
  • Simple configuration for quick setup
  • Designed specifically for LLM endpoints, not generic HTTP monitoring

Cons

  • Very early stage with only 1 GitHub star and limited community adoption
  • No built-in support for complex test scenarios or multi-step workflows
  • Lacks alerting or dashboard features out of the box

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Go binary with no external dependencies
  • Simple configuration for quick setup
  • Designed specifically for LLM endpoints, not generic HTTP monitoring

Cons

  • Very early stage with only 1 GitHub star and limited community adoption
  • No built-in support for complex test scenarios or multi-step workflows
  • Lacks alerting or dashboard features out of the box