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feat(otel): allow Copilot CLI agents to enrich native spans with delivery context

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評估

難度
5/5
預估耗時
一週以上
新手友好度
35/100
Issue 類型
功能
描述清晰度
基本清楚
活躍度
活躍
技術堆疊
shell
領域
cli, observability

研究方向

No implementation files, tests, or entry points are named; first locate the Copilot CLI runtime code responsible for creating and exporting native OpenTelemetry spans. Review how context reaches invoke_agent, chat, and execute_tool spans. Done means a governed pre-export hook supports allow-listed, constrained, privacy-controlled attributes with clear provenance and consistent application.

由索引模型根據 Issue 內容生成。

描述

triage

Problem

Copilot CLI emits useful native OpenTelemetry spans for agent activity, model calls, and tool execution. The observed spans already include gen_ai.* and github.copilot.* data such as conversation IDs, model selection, tool names, and input/output/cache/reasoning token usage.

However, the agent/model cannot enrich those native spans with delivery context. Span creation and export belong to the Copilot CLI runtime, and Copilot CLI currently exposes no supported agent/runtime API or hook to set attributes on its native OTEL spans. Custom instructions, custom agents, MCP servers, and tools cannot reliably fill this gap.

Requested capability

Provide a governed runtime API/hook that allows a Copilot CLI agent (or approved integration) to add allow-listed custom attributes to native Copilot CLI OTEL spans before export.

Illustrative API:

on_span_created(span)
span.set_attribute(key, value)

Goal and use cases

Enable end-to-end correlation of AI-assisted engineering activity with work items, Git changes, and delivery outcomes. An enriched trace/span should support data points such as:

workitem.id
vcs.repository.url.full
vcs.repository.ref.name
vcs.repository.ref.revision
gitlab.merge_request.id
ai.session.id
gen_ai.conversation.id
gen_ai.request.model
gen_ai.response.model
gen_ai.usage.input_tokens
gen_ai.usage.output_tokens
gen_ai.usage.cache_read.input_tokens
gen_ai.usage.cache_write.input_tokens
gen_ai.usage.reasoning.output_tokens
gen_ai.tool.name

The primary correlation key is repository identity plus commit SHA. That joins Copilot traces to Git commits, merge requests, pipelines, artifacts, deployments, and production outcomes. Ticket and session identifiers provide supporting context. The capability should also support integrations with ticketing systems and approved software-supply-chain/provenance standards.

Requirements

  • Attribute mutations occur in the CLI runtime before export, not through model prompting alone.
  • Allow-list attribute keys and constrain types, value sizes, and cardinality.
  • Support privacy/redaction controls and organization policy.
  • Make provenance clear: identify whether an attribute was supplied by the runtime, agent, or integration.
  • Apply configured context consistently to relevant native spans, including invoke_agent, chat, and execute_tool.
  • Preserve existing OTEL semantic conventions where applicable, especially vcs.* and gen_ai.*.

Workaround

An OpenTelemetry Collector or OTLP proxy can enrich exported spans externally today. This works for process-wide Git/Jira context, but does not provide agent-aware, per-span enrichment at the point where Copilot CLI creates the spans.

Observed version

GitHub Copilot CLI 1.0.88.

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環境準備

  • 沒有 Dockerfile 或 Docker Compose 檔案
  • 沒有 Pull Request 範本
  • 閱讀貢獻指南

從這裡開始

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  3. Fork 儲存庫，在一個分支上完成修改。
  4. 送出 Pull Request，並在描述裡引用這個 Issue 編號。

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