No Metrics implementation in core module

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难度
4/5
预计耗时
3-5 天
新手友好度
30/100
Issue 类型
功能
描述清晰度
基本清楚
活跃度
活跃
技术栈
java, observability-sre
领域
observability

调研方向

The payload names no source file, so start with the core module's existing telemetry or instrumentation points and with the linked Issue #1132, which the body cross-references for context. Decide where the three instruments (gen_ai.client.operation.duration, gen_ai.client.token.usage, a2a.task.request.duration) should be recorded, and confirm the expected attribute names with a maintainer before writing code. Done means each instrument is recorded on the matching operation and a test confirms the values.

由索引模型根据 Issue 内容生成。

描述

The a2a-java core module has zero Metrics implementation. There are no histograms, counters, or any other instruments measuring operation duration, throughput, or token usage.

Current Behavior
Expected Metric | Type | Status -- | -- | -- gen_ai.client.operation.duration | Histogram | ❌ Missing gen_ai.client.token.usage | Histogram | ❌ Missing a2a.task.request.duration | Histogram | ❌ Missing
  • There is no gen_ai.client.operation.duration metric, which is the standard OTel GenAI operation duration histogram.
Expected Behavior

The core SDK module should provide built-in metrics instruments, at minimum:

  • gen_ai.client.operation.duration (OTel GenAI standard) — operation latency histogram
  • gen_ai.client.token.usage (OTel GenAI standard) — token usage histogram by gen_ai.token.type
  • Task request duration covering the full SSE streaming lifecycle (from stream initiation to last event)
Impact
  • Cannot measure operation latency or throughput at scale.
  • Cannot set up SLO/SLA alerts based on latency percentiles.
  • Cannot quantify agent interaction performance trends.
  • Token usage is not tracked, making cost analysis impossible.

cf Issue #1132

主要语言
Java
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平均合并
2 天 4 小时
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环境准备

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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