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OpenTelemetry Instrumentation

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Streamline telemetry management for Copilot Chat.

by microsoft188.6k stars on microsoft/vscode
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Updated Aug 10, 2026
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What OpenTelemetry Instrumentation does

The OpenTelemetry Instrumentation skill provides a structured approach to managing telemetry within the Copilot Chat extension. It is designed for developers working on the extension who need to add, change, or review OpenTelemetry (OTel) telemetry. This skill emphasizes the importance of maintaining synchronization between code changes and the authoritative documentation located in the extensions/copilot/docs/monitoring/ directory. Users are encouraged to treat these documents as critical references, ensuring that any implementation changes are reflected in the documentation within the same pull request.

The skill covers the architecture of the extension, which includes four distinct agent execution paths, each utilizing a different OTel strategy. This includes direct spans from the extension host, spans created by the Copilot CLI in-process, and spans synthesized from SDK messages for the Claude Code agent. Understanding these paths is crucial for effective instrumentation and debugging, as they dictate how telemetry data is generated and processed.

In addition to the architectural overview, the skill outlines conventions for spans, metrics, and events, urging developers to adhere to the OTel GenAI semantic conventions. This ensures consistency and clarity in telemetry data, making it easier to analyze and troubleshoot. The skill also provides insights into the service layer, detailing the IOTelService abstraction and its various implementations, allowing developers to choose the right telemetry service based on their needs.

Overall, this skill is essential for developers involved in the Copilot Chat extension who are tasked with implementing or modifying telemetry features, ensuring that they have the necessary tools and guidelines to do so effectively.

When to use it

Use this skill when adding or modifying telemetry spans, metrics, or events within the Copilot Chat extension, especially when working with the Copilot CLI or Claude Code.

When not to use it

This skill is not suitable for general-purpose telemetry tasks outside the Copilot Chat extension or for users unfamiliar with OpenTelemetry concepts.

What you can build with it

Adding New Telemetry Spans

When implementing new features in Copilot Chat, use this skill to guide the addition of telemetry spans, ensuring compliance with OTel conventions.

Reviewing Existing Instrumentation

Before making changes to existing telemetry, consult the skill to understand the architecture and ensure that documentation is updated accordingly.

Debugging Telemetry Issues

Utilize the skill to navigate the various agent execution paths and identify potential issues in the telemetry data being emitted.

How to install OpenTelemetry Instrumentation

View source

1. Install with the skills CLI

npx skills add microsoft/vscode/otel --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by microsoft

OpenTelemetry Instrumentation Skill

When adding, changing, or reviewing OTel telemetry in the Copilot Chat extension, always read the two source-of-truth docs first and always keep them in sync with the code you change.

1. Authoritative Documents

The extensions/copilot/docs/monitoring/ directory contains the two specs that define the OTel contract for the extension. Treat them like the layout / layer specs in vs/sessions.

DocumentPathAudienceCovers
User-facingextensions/copilot/docs/monitoring/agent_monitoring.mdExtension usersQuick start, settings, env vars, exported spans/metrics/events, backend setup guides
Architectureextensions/copilot/docs/monitoring/agent_monitoring_arch.mdDevelopersMulti-agent strategies, span hierarchies, file structure, instrumentation points, IOTelService, configuration channels
Visual flowextensions/copilot/docs/monitoring/otel-data-flow.htmlDevelopersRenders the bridge data flow for the in-process Copilot CLI agent

If the implementation changes, you must update the relevant doc in the same PR. The arch doc is the most likely to drift; treat divergence as a bug.

2. Architecture at a Glance

The extension has four agent execution paths, each with a different OTel strategy:

AgentProcess ModelStrategyDebug Panel Source
Foreground (toolCallingLoop)Extension hostDirect IOTelService spansExtension spans
Copilot CLI in-processExtension host (same process)Bridge SpanProcessor — SDK creates spans natively; bridge forwards to debug panelSDK native spans via bridge
Copilot CLI terminalSeparate terminal processForward OTel env varsN/A (separate process)
Claude CodeChild process (Node fork)Synthesized from SDK messages — extension intercepts the Claude SDK message stream in claudeMessageDispatch.ts and emits GenAI spans; LLM calls are proxied through claudeLanguageModelServer.ts (which calls chatMLFetcher, producing standard chat spans).Extension spans

Why asymmetric? The CLI SDK runs in-process with full trace hierarchy (subagents, permissions, hooks). A bridge captures this directly. Claude runs as a separate process — internal spans are inaccessible, so the extension synthesizes spans by translating SDK messages and proxying the model API.

3. Where Things Live (canonical map)

extensions/copilot/src/platform/otel/
├── common/
│   ├── otelService.ts          # IOTelService interface + ISpanHandle + injectCompletedSpan
│   ├── otelConfig.ts           # Config resolution (env → settings → defaults), enabledVia, dbSpanExporter
│   ├── noopOtelService.ts      # Zero-cost no-op (used by chatLib / tests)
│   ├── inMemoryOTelService.ts  # ← actually under node/, see below
│   ├── agentOTelEnv.ts         # deriveCopilotCliOTelEnv / deriveClaudeOTelEnv
│   ├── genAiAttributes.ts      # ⚠ Single source of truth for attribute keys & enums
│   ├── genAiEvents.ts          # Event emitter helpers (emit*Event)
│   ├── genAiMetrics.ts         # GenAiMetrics class
│   ├── messageFormatters.ts    # truncateForOTel, normalizeProviderMessages, toSystemInstructions, …
│   ├── workspaceOTelMetadata.ts
│   ├── sessionUtils.ts
│   └── index.ts                # ⚠ Public barrel — re-export new helpers/constants here
└── node/
    ├── otelServiceImpl.ts      # NodeOTelService + DiagnosticSpanExporter + FilteredSpanExporter + EXPORTABLE_OPERATION_NAMES
    ├── inMemoryOTelService.ts  # InMemoryOTelService (used when OTel is disabled — feeds debug panel only)
    ├── fileExporters.ts        # File-based span/log/metric exporters
    └── sqlite/                 # OTelSqliteStore + SqliteSpanExporter (dbSpanExporter pipeline)

extensions/copilot/src/extension/
├── chatSessions/
│   ├── copilotcli/node/
│   │   ├── copilotCliBridgeSpanProcessor.ts  # Bridge: SDK spans → IOTelService (+ hook span enrichment)
│   │   ├── copilotcliSession.ts              # Root invoke_agent copilotcli span + traceparent + hook stash
│   │   └── copilotcliSessionService.ts       # Bridge installation + env var setup
│   └── claude/
│       ├── common/claudeMessageDispatch.ts   # execute_tool / execute_hook spans + subagent context wiring
│       └── node/
│           ├── claudeOTelTracker.ts          # invoke_agent claude span + per-session token/cost rollup
│           └── claudeLanguageModelServer.ts  # Local HTTP proxy → chatMLFetcher (chat spans)
├── chat/vscode-node/
│   └── chatHookService.ts                    # execute_hook spans for foreground agent hooks
├── intents/node/toolCallingLoop.ts           # invoke_agent spans for foreground agent
├── tools/vscode-node/toolsService.ts         # execute_tool spans for foreground tools
├── prompt/node/chatMLFetcher.ts              # chat spans for all LLM calls
├── byok/vscode-node/                         # BYOK provider chat spans (anthropicProvider, geminiNativeProvider, …)
└── trajectory/vscode-node/
    ├── otelChatDebugLogProvider.ts           # Debug panel data provider
    ├── otelSpanToChatDebugEvent.ts           # Span → ChatDebugEvent conversion
    └── otlpFormatConversion.ts               # OTLP ↔ in-memory span format

3a. Attribute namespaces & dual-emit policy

Three namespaces coexist on extension-emitted spans:

NamespacePurposeStatus
gen_ai.*OTel GenAI Semantic Conventions. Use whenever a standard key exists.Canonical
github.copilot.*Copilot-specific vendor namespace.Preferred — new attributes go here.
copilot_chat.*Original VS Code-only namespace. Several keys remain for backwards compatibility.Legacy — keep emitting; do not add new keys here.

Dual-emit rules

  • When adding a new attribute that belongs to Copilot's vendor namespace, emit it under github.copilot.* only — do not introduce a copilot_chat.* twin.
  • When renaming an existing copilot_chat.* attribute to its github.copilot.* equivalent (e.g., copilot_chat.repo.*github.copilot.git.*, gen_ai.usage.reasoning_tokensgen_ai.usage.reasoning.output_tokens), dual-emit both keys indefinitely. Downstream readers (Agent Debug Log, Chronicle, SQLite span store, OTLP collectors) may depend on the legacy key.
  • Mark the legacy row in agent_monitoring.md with Legacy in the "Requirement" column and a pointer to the preferred key. No sunset date — legacy keys live on indefinitely.
  • Hash sensitive identifiers (e.g., MCP server names) with hashTelemetryValue from util/node/crypto.ts. Emit hashes unconditionally; raw values only when captureContent is enabled.

4. Service Layer & Selection

IOTelService (otelService.ts) is the only abstraction consumers should depend on — never import the OTel SDK directly outside node/otelServiceImpl.ts. Three implementations:

ClassWhen Used
NoopOTelServicechatLib and tests where no telemetry pipeline is needed — zero cost
NodeOTelServiceOTel enabled — full SDK, OTLP/file/console export, optional SQLite span exporter
InMemoryOTelServiceRegistered when OTel is disabled — no SDK is loaded, but spans/metrics/logs are still captured in-memory so the Agent Debug Log panel keeps working

Selection happens in src/extension/extension/vscode-node/services.ts: exactly one of NodeOTelService or InMemoryOTelService is bound to IOTelService per extension host based on resolveOTelConfig().enabled.

5. Span / Metric / Event Conventions

Follow the OTel GenAI semantic conventions. Always use the constants from genAiAttributes.ts — never raw string literals.

OperationSpan NameKindConstant
Agent orchestrationinvoke_agent {agent_name}INTERNALGenAiOperationName.INVOKE_AGENT
LLM API callchat {model}CLIENTGenAiOperationName.CHAT
Tool executionexecute_tool {tool_name}INTERNALGenAiOperationName.EXECUTE_TOOL
Hook executionexecute_hook {hook_type}INTERNALGenAiOperationName.EXECUTE_HOOK

Attribute namespaces:

NamespaceConstant moduleExamples
gen_ai.*GenAiAttrgen_ai.operation.name, gen_ai.usage.input_tokens
copilot_chat.*CopilotChatAttrcopilot_chat.session_id, copilot_chat.chat_session_id, copilot_chat.hook_*
github.copilot.*CopilotCliSdkAttrSDK-emitted hook attributes (read-only — bridge & debug panel)
claude_code.*(raw)Claude subprocess SDK attributes — only ever observed in OTLP, not produced by the extension

Standard span pattern

return this._otelService.startActiveSpan(
    `execute_tool ${name}`,
    {
        kind: SpanKind.INTERNAL,
        attributes: {
            [GenAiAttr.OPERATION_NAME]: GenAiOperationName.EXECUTE_TOOL,
            [GenAiAttr.TOOL_NAME]: name,
            // …
        },
    },
    async (span) => {
        try {
            const result = await this._actualWork();
            span.setStatus(SpanStatusCode.OK);
            return result;
        } catch (err) {
            span.setStatus(SpanStatusCode.ERROR, err instanceof Error ? err.message : String(err));
            span.setAttribute(StdAttr.ERROR_TYPE, err instanceof Error ? err.constructor.name : 'Error');
            throw err;
        }
    },
);

Cross-boundary trace propagation

// Parent: store context keyed by something the child knows
const ctx = this._otelService.getActiveTraceContext();
if (ctx) { this._otelService.storeTraceContext(`subagent:invocation:${id}`, ctx); }

// Child: retrieve and use as parent
const parentCtx = this._otelService.getStoredTraceContext(`subagent:invocation:${id}`);
return this._otelService.startActiveSpan('invoke_agent child', { parentTraceContext: parentCtx, … }, fn);

Content capture

The extension uses two conventions side-by-side; pick the right one for the attribute you're adding.

  1. Always emit (truncated) — used for inputs/outputs that the Agent Debug Log panel needs to be useful even when OTel export is off (e.g. gen_ai.tool.call.arguments in toolsService.ts, and copilot_chat.hook_input / hook_output in chatHookService.ts). The attribute is captured unconditionally but always passed through truncateForOTel. Use this for moderate-sized, generally-non-secret arguments / results.
  2. Gate on config.captureContent — used for full prompt / response / system-instruction bodies (e.g. gen_ai.input.messages, gen_ai.output.messages, gen_ai.system_instructions, gen_ai.tool.definitions in chatMLFetcher.ts and the BYOK providers). These are larger and more likely to contain user secrets.
// Pattern 1 — always emit, always truncate
span.setAttribute(GenAiAttr.TOOL_CALL_ARGUMENTS, truncateForOTel(JSON.stringify(args)));

// Pattern 2 — gated on captureContent
if (this._otelService.config.captureContent) {
    span.setAttribute(GenAiAttr.INPUT_MESSAGES, truncateForOTel(JSON.stringify(messages)));
}

Debug panel vs OTLP isolation

Spans whose gen_ai.operation.name is not in EXPORTABLE_OPERATION_NAMES (defined in otelServiceImpl.ts) are visible to the debug panel via onDidCompleteSpan but excluded from OTLP and SQLite exporters by DiagnosticSpanExporter and FilteredSpanExporter. Currently exportable: chat, invoke_agent, execute_tool, embeddings, execute_hook. If you add a new operation name that should reach the user's collector, update EXPORTABLE_OPERATION_NAMES and document it in agent_monitoring.md.

6. Configuration Surface (must stay in sync)

When you add or change a setting/env var/command, update all three of:

  1. The setting/command registration in extensions/copilot/package.json (search for github.copilot.chat.otel).
  2. resolveOTelConfig in otelConfig.ts — if the setting affects runtime config — and the enabledVia channel if it can implicitly enable OTel.
  3. agent_monitoring.md ("VS Code Settings", "Environment Variables", "Activation", "Commands" tables) and agent_monitoring_arch.md ("Activation Channels", "Agent-Specific Env Var Translation" tables).

For sub-process env vars, also update:

  • deriveCopilotCliOTelEnv / deriveClaudeOTelEnv in agentOTelEnv.ts.
  • The corresponding tests in src/platform/otel/common/test/agentOTelEnv.spec.ts.

7. Procedure Checklists

When adding a new span / attribute

  1. Add the attribute key as a constant to genAiAttributes.ts (under GenAiAttr, CopilotChatAttr, or a new domain group). Never inline a raw 'copilot_chat.foo' literal.
  2. Add it to the public barrel in index.ts if it lives in a new group.
  3. Use IOTelService.startActiveSpan (preferred) or startSpan — never BasicTracerProvider / getTracer directly.
  4. Pass the value through truncateForOTel (mandatory for any free-form content attribute — prevents OTLP batch failures). Decide whether the attribute should be always-emitted (debug-panel-essential, e.g. tool args, hook input/output) or gated on config.captureContent (large prompt/response bodies, system instructions); follow the existing convention for similar data.
  5. If the new operation should reach OTLP, add its op-name to EXPORTABLE_OPERATION_NAMES in otelServiceImpl.ts.
  6. Document the new attribute in agent_monitoring.md (under the relevant span table) and add a test in src/platform/otel/common/test/.

When adding a new metric / event

  1. Add the helper to genAiMetrics.ts or genAiEvents.ts (mirror existing static / functional patterns).
  2. Re-export it from index.ts.
  3. Add the metric/event row to agent_monitoring.md ("Metrics" / "Events" sections) with all attributes documented.
  4. Add a unit test in src/platform/otel/common/test/genAiMetrics.spec.ts or genAiEvents.spec.ts (assert the exact name + attribute keys).

When instrumenting a new agent surface

  1. Pick a strategy: direct spans (foreground-style), bridge processor (CLI-style), or message-stream synthesis (Claude-style).
  2. Add the new emit site to the Instrumentation Points table in agent_monitoring_arch.md and the Span Hierarchies diagrams.
  3. If you forward OTel env vars to a child process, do it via a new derive*OTelEnv helper in agentOTelEnv.ts and add a row to the Agent-Specific Env Var Translation table.
  4. Wire trace propagation explicitly with storeTraceContext / parentTraceContext for any subagent or async boundary; do not rely on global active context across processes.

When changing the Copilot CLI bridge

The bridge (copilotCliBridgeSpanProcessor.ts) reaches into _delegate._activeSpanProcessor._spanProcessors — internal OTel SDK v2 state. This is documented as a known risk. If you touch it:

  • Keep the runtime guard that degrades gracefully if the internal shape changes.
  • Update the ⚠ SDK Internal Access Warning block in agent_monitoring_arch.md if the access pattern changes.
  • Add a unit test in copilotCliBridgeSpanProcessor.spec.ts.

8. Validation

Before sending a PR that touches OTel code:

# From extensions/copilot/
npx tsc --noEmit --project tsconfig.json

# OTel + Bridge unit tests
npm test -- --grep "OTel\|Bridge"

Manual sanity checks:

  • The Aspire Dashboard quick-start in agent_monitoring.md still works end-to-end (one agent message → invoke_agent + chat + execute_tool spans visible at http://localhost:18888).
  • The Agent Debug Log panel in VS Code still shows the full span tree for foreground, Copilot CLI, and Claude sessions.

9. Known Risks & Limitations

These are documented in agent_monitoring_arch.md — preserve them:

  • SDK _spanProcessors internal access (graceful runtime guard).
  • Two TracerProviders in the same process when CLI SDK is active.
  • process.env mutation for the CLI SDK (only OTel-specific vars, set before LocalSessionManager ctor).
  • Single captureContent flag for the CLI SDK applies to both debug panel and OTLP — document any user-visible change clearly.
  • Claude SDK has no file exporter, and the CLI runtime only supports otlp-http.

10. Anti-Patterns to Reject

  • ❌ Importing @opentelemetry/api (or any @opentelemetry/* package) from anywhere other than node/otelServiceImpl.ts, fileExporters.ts, or the CLI bridge processor type imports.
  • ❌ Hard-coded attribute keys: 'copilot_chat.hook_type' instead of CopilotChatAttr.HOOK_TYPE.
  • ❌ Hard-coded provider strings: 'github' / 'anthropic' / 'gemini' instead of GenAiProviderName.*.
  • ❌ Magic SpanStatusCode numbers (code: 1, code: 2) — use the enum.
  • ❌ Emitting any free-form content attribute without passing it through truncateForOTel — OTLP batches will silently drop or fail.
  • ❌ Logging full prompt / response / system-instruction bodies without config.captureContent gating (these are pattern 2 above).
  • ❌ Adding a span operation name without deciding whether it's exportable (EXPORTABLE_OPERATION_NAMES).
  • ❌ Updating instrumentation without updating agent_monitoring.md / agent_monitoring_arch.md in the same change.

Frequently asked questions about OpenTelemetry Instrumentation

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