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Garm d4cd49af95 feat(telemetry): add headroom_stack and install_mode identity fields 
Adds two orthogonal identity fields to the anonymous telemetry beacon so we
can segment usage by integration surface and deployment shape:

- headroom_stack: how Headroom is invoked (proxy, wrap_claude, wrap_codex,
  adapter_ts_openai, adapter_ts_anthropic, etc.). Resolved from HEADROOM_STACK
  env, HEADROOM_AGENT_TYPE fallback, or aggregated request-header counts.
- install_mode: how the proxy is deployed (wrapped / persistent / on_demand).
  Detected from HEADROOM_AGENT_TYPE plus DeploymentManifest lookup.

TS SDK adapters now tag every request with X-Headroom-Stack; a FastAPI
middleware buckets the counts and surfaces them via /stats so the beacon can
report requests_by_stack for mixed-integration sessions.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 17:12:38 +02:00
..
create_dashboard_summary.sql Token-level cache hit rate, compression-vs-cache tracking, dashboard SQL, security plan 2026-04-06 18:10:29 -07:00
create_proxy_telemetry_v2.sql feat(telemetry): add headroom_stack and install_mode identity fields 2026-04-17 17:12:38 +02:00
upgrade_dashboard_v2.sql Token-level cache hit rate, compression-vs-cache tracking, dashboard SQL, security plan 2026-04-06 18:10:29 -07:00
upgrade_telemetry_cache_bust.sql Token-level cache hit rate, compression-vs-cache tracking, dashboard SQL, security plan 2026-04-06 18:10:29 -07:00
upgrade_telemetry_stack_context.sql feat(telemetry): add headroom_stack and install_mode identity fields 2026-04-17 17:12:38 +02:00