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PaperClipAI/packages/shared/src/telemetry/README.md
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Nicky LeachandPaperclip 184b014c25 feat(telemetry): add the agent.task_run event and emit it at every terminal run transition (#12809)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - Paperclip records agent run outcomes through telemetry and run
lifecycle services
> - Terminal run transitions need one consistent event for outcome
analysis
> - The current paths do not report every terminal transition through
one event
> - This pull request adds the agent.task_run event and emits it at each
terminal transition
> - The benefit is complete run outcome data without exposing raw task
identifiers

## Linked Issues or Issue Description

**What existing behavior does this improve?**

Paperclip telemetry reports agent activity, but it does not report every
terminal task run through one event.

**Subsystem affected**

Cross-cutting (multiple of the above): packages/shared telemetry and
server run lifecycle services.

**Current behavior**

Several run paths write a terminal status without a matching
agent.task_run telemetry event.

**Proposed behavior**

Each terminal run transition emits one agent.task_run event. The event
records the terminal state and uses the existing pseudonym helper for
the optional task identifier.

**Reason and benefit**

Complete terminal-run data helps operators measure agent outcomes. The
pseudonym helper prevents the raw task identifier from leaving the
installation.

**Breaking changes**

None. The change adds an event and keeps existing event behavior
compatible.

## What Changed

- Add the agent.task_run telemetry contract and client helper.
- Reuse the existing pseudonym helper for the task identifier. The
helper hashes the identifier with a per-installation salt and returns 16
hexadecimal characters. The raw identifier never leaves the
installation. Existing identifiers do not move.
- Emit one event from each legacy, native, recovery, and issue terminal
transition.
- Keep emissions outside database transactions and make delivery
best-effort.
- Add regression tests for event shape, hashing, terminal transitions,
and emission failures.
- Document the event and its privacy rule in the telemetry data
contract.

## Verification

- `npx tsc --noEmit` in `server/` passes at the submitted commit.
- The pull-request CI suite must pass. CI is the authority because local
Vitest has a known dependency artifact.
- The added regression tests cover event output shape, per-installation
hash divergence, raw identifier handoff, omitted identifiers, and
non-throwing emits.

## Risks

- A missed terminal path could reduce event coverage.
- Telemetry delivery remains best-effort and cannot change run
finalization.
- The pseudonym helper uses installation-specific state, so identifiers
differ between installations.

## Model Used

OpenAI Codex, GPT-5, tool use and code execution. Context window details
were not provided.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` /
`Closes: #` / `Refs #` OR (b) described the issue in-PR following the
relevant issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I have addressed all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-09-04 08:21:32 -07:00

9.1 KiB

Telemetry Data Contract

This document explains how contributors should use Paperclip's public telemetry contract. It does not duplicate the full list of individual events or dimensions. It documents extra semantic and privacy rules where the generated shape is not sufficient.

The canonical source for first-party event names, dimensions, optionality, allowed primitive value types, and enum descriptions is packages/shared/src/telemetry/generated/paperclip-telemetry.ts.

Shared enum constants live in packages/shared/src/constants.ts. Use those constants when code needs a reusable domain, but treat the generated telemetry types as the final authority for emitted first-party telemetry shapes.

Public Sources

Use these files when reviewing or changing telemetry code:

Contract item Public source
First-party event names PaperclipEventName in generated/paperclip-telemetry.ts
Per-event dimensions and optionality EventDimensionsMap in generated/paperclip-telemetry.ts
Enum descriptions for telemetry dimensions PAPERCLIP_ENUM_DESCRIPTIONS in generated/paperclip-telemetry.ts
Schema version and event envelope helpers SCHEMA_VERSION, makeEvent(), and makeBatch() in generated/paperclip-telemetry.ts
Runtime-safe event names and dimensions TelemetryEventName and TelemetryEventDimensions in types.ts
Allowed primitive dimension values TelemetryDimensionValue in types.ts
Shared reusable enum domains Named exports in constants.ts
First-party typed emit helpers events.ts
Generic client behavior client.ts
Retention windows and event class assignments RETENTION_DAYS and EVENT_RETENTION_CLASS in retention.ts

Do not copy generated event lists or dimension tables into this README. They will drift as the generated contract changes.

Emission Boundary

Paperclip telemetry uses named events with explicit dimension fields. Treat open-ended string dimensions as public contract values, not as a place for user content or private operational data. Do not send PII, secrets, credentials, private paths, prompts, model output, or other sensitive values through telemetry dimensions.

Telemetry emitters send raw dimension values. They must not pre-normalize enum-like values into a reporting form just to match today's known domain.

The receiving layer owns canonicalization. Keeping canonicalization in one place means emitters can stay simple and accurate: emit what the product observed, use the generated contract for required and optional fields, and let the receiving layer decide how legacy spellings, aliases, unknown names, and future values map to a stable reporting shape.

Do not add client-side lowercasing, alias mapping, or fallback mapping unless the generated telemetry contract specifically requires that emitted value.

If a dimension is privacy-protected before emission, emit only the protected value and its matching public marker as defined by the typed helper or generated contract. Do not emit private source material in telemetry dimensions.

Interaction Resolver Events

interaction.created records the interaction kind and whether the create request used a deprecated resolver-policy alias. It does not record the prompt, title, options, questions, target identifier, creator identifier, or resolver identifier.

interaction.resolved records the low-cardinality interaction outcome defined in the generated contract. Its legacy_inherited_restriction dimension is true only when stored migration provenance preserves a legacy resolver-policy restriction. It is false for canonical new writes. This dimension describes policy provenance. It does not contain user content or an identifier.

Use trackInteractionCreated() and trackInteractionResolved() from events.ts to emit these events. The generated contract remains the authority for their exact dimensions and optionality.

Agent Task Run Events

agent.task_run records one terminal state for one agent run: succeeded, interrupted, failed, cancelled, or timed_out. Emit it once per run, at the run's terminal transition. Do not emit it for a run that is still active.

The event's task_id dimension is optional and privacy-protected. Never emit the raw task id. Pass the raw id to trackAgentTaskRun() in events.ts. The helper calls hashPrivateRef() on client.ts, which derives the emitted value with a salted hash of the per-installation secret.

Use trackAgentTaskRun() to emit this event. The generated contract remains the authority for its exact dimensions and optionality.

Other Data Paths

This document covers Paperclip Telemetry only. The generated Telemetry contract covers neither the Observability path nor the run-log path. Two other data paths document their own contract in their own file:

  • Observability — the OpenTelemetry trace path, the sandbox startup trace spans, and the sandbox duplex transport instrumentation.
  • Run-Log Events — events written to the local heartbeat_run_events table.

Dimension Values

Telemetry dimension values must be primitives. Use only the value types allowed by TelemetryDimensionValue:

  • string
  • number
  • boolean

Do not emit null, undefined, arrays, or objects as dimension values. Optional dimensions should be omitted when absent.

When a dimension is enum-like, use the shared constant from constants.ts when one exists. If no shared constant exists, use the generated telemetry type as the domain. In all cases, the generated telemetry type remains the source of truth for the emitted value.

Required, Optional, And Sentinel Values

Required and optional dimensions are defined by EventDimensionsMap.

Required dimensions must be present for every event of that name. Optional dimensions should be emitted only when the value is known and useful.

Sentinel values are only for required fields that have no observed raw value at the emitting layer. Do not use a sentinel to hide a concrete value that is new, custom, or not yet represented by a shared constant. Emit the concrete raw value and let the receiving layer canonicalize it.

Adding Or Changing Telemetry

Client code is responsible for emitting approved telemetry events at the right place in the product. Stable event names, dimensions, and enum domains must come from the generated telemetry contract before normal emitters use them.

For product work that needs to propose a new first-party event before schema registration, use the proposal marker workflow in doc/TELEMETRY_WORKFLOW.md. Those proposed calls stay on client.track(), carry an @ts-expect-error marker on the event-name argument, and are swallowed at runtime until the generated schema registers the event name.

For stable event work:

  1. Start from generated/paperclip-telemetry.ts. The generated types are what reviewers use to verify event names, dimensions, optionality, value types, enum descriptions, and schema version.
  2. Choose stable event and dimension names. Do not include user content, local machine details, secrets, credentials, private paths, or values that are not part of the public event contract.
  3. Use only string, number, or boolean dimension values.
  4. Reuse a shared constant from constants.ts for enum-like dimensions when one exists. If the generated telemetry domain has values beyond a shared constant, keep the emitter aligned with the generated telemetry type.
  5. Keep emitters raw. Do not normalize, alias-map, or lowercase enum-like values in the client unless the generated contract explicitly calls for that emitted value.
  6. Add or update a typed helper in events.ts when the event is first-party and should have a stable helper API.
  7. Update tests for helper behavior, including raw pass-through for enum-like values when that is the intended boundary.
  8. Update this README only when the contributor workflow, source-of-truth pointers, or durable invariants change. Do not add an event catalog here.

Before opening a pull request, verify that the emitted code, typed helpers, and generated telemetry contract agree. If they disagree, fix the contract or code rather than documenting around the mismatch in this README.

For new first-party events that are not in the generated contract yet, follow the public proposal and promotion workflow in doc/TELEMETRY_WORKFLOW.md.

Retention

Retention windows are documented in retention.ts. Each event is assigned a retention class; the class determines the window in days. This is a housekeeping and query-cost concern managed by data-infra, not a schema concern — updating a retention window does not require a schema version bump.

Current classes:

Class Window Description
operational_enum_count 90 days Enum/boolean/count/bucket events. No token material, no PII.

When a new event carries only enums, booleans, counts, or coarse buckets and no token material or PII, assign it to operational_enum_count in EVENT_RETENTION_CLASS. If no existing class fits, define a new class in RETENTION_DAYS and document it here.