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>

headroom/cli/wrap.py

@@ -134,6 +134,7 @@ def _start_proxy(
     # Tell the proxy which agent is being wrapped (for traffic learning output)
     if agent_type != "unknown":
         proxy_env["HEADROOM_AGENT_TYPE"] = agent_type
+        proxy_env.setdefault("HEADROOM_STACK", f"wrap_{agent_type}")
 
     proc = subprocess.Popen(
         cmd,

headroom/proxy/prometheus_metrics.py

@@ -70,6 +70,8 @@ class PrometheusMetrics:
         self.requests_total = 0
         self.requests_by_provider: dict[str, int] = defaultdict(int)
         self.requests_by_model: dict[str, int] = defaultdict(int)
+        # Populated via X-Headroom-Stack header (TS SDK adapters, etc.)
+        self.requests_by_stack: dict[str, int] = defaultdict(int)
         self.requests_cached = 0
         self.requests_rate_limited = 0
         self.requests_failed = 0
@@ -192,6 +194,21 @@ class PrometheusMetrics:
 
         return total_input_tokens, total_input_cost_usd
 
+    def record_stack(self, stack: str | None) -> None:
+        """Increment the per-stack request counter.
+
+        ``stack`` is the ``X-Headroom-Stack`` header value (e.g.
+        ``adapter_ts_openai``). Called once per inbound request from the
+        proxy's stack middleware; a no-op when the header is absent.
+        """
+
+        if not stack:
+            return
+        slug = stack.strip().lower()
+        if not slug or len(slug) > 64:
+            return
+        self.requests_by_stack[slug] += 1
+
     async def record_request(
         self,
         provider: str,

headroom/proxy/server.py

@@ -1188,6 +1188,19 @@ def create_app(config: ProxyConfig | None = None) -> FastAPI:
         allow_headers=["*"],
     )
 
+    # X-Headroom-Stack: SDK adapters (TS openai/anthropic/etc.) tag their
+    # requests so telemetry can segment by integration surface.
+    @app.middleware("http")
+    async def _record_headroom_stack(request, call_next):
+        if request.url.path.startswith("/v1/"):
+            stack = request.headers.get("x-headroom-stack")
+            if stack:
+                try:
+                    proxy.metrics.record_stack(stack)
+                except Exception:
+                    logger.debug("record_stack failed", exc_info=True)
+        return await call_next(request)
+
     # Health & Metrics
     @app.get("/livez")
     async def livez():
@@ -1356,6 +1369,7 @@ def create_app(config: ProxyConfig | None = None) -> FastAPI:
                 "failed": m.requests_failed,
                 "by_provider": dict(m.requests_by_provider),
                 "by_model": dict(m.requests_by_model),
+                "by_stack": dict(m.requests_by_stack),
             },
             "tokens": {
                 "input": m.tokens_input_total,

headroom/telemetry/beacon.py

@@ -19,6 +19,8 @@ import sys
 import time
 import uuid
 
+from headroom.telemetry.context import detect_install_mode, detect_stack
+
 logger = logging.getLogger(__name__)
 
 # Supabase endpoint for anonymous aggregate telemetry.
@@ -89,6 +91,8 @@ class TelemetryBeacon:
         self._session_id = uuid.uuid4().hex
         # Stable across restarts — anonymous machine fingerprint (SHA256 of hostname)
         self._instance_id = hashlib.sha256(platform.node().encode()).hexdigest()[:16]
+        # Deployment shape is determined once at startup (wrapped / persistent / on_demand)
+        self._install_mode = detect_install_mode(port)
 
     async def start(self) -> None:
         """Start the periodic beacon. Call from proxy startup."""
@@ -177,8 +181,17 @@ class TelemetryBeacon:
             "sdk": self._sdk,
             "backend": self._backend,
             "session_minutes": session_minutes,
+            "install_mode": self._install_mode,
+            "headroom_stack": detect_stack(stats),
         }
 
+        try:
+            by_stack = (stats.get("requests") or {}).get("by_stack") or {}
+            if by_stack:
+                payload["requests_by_stack"] = dict(by_stack)
+        except Exception:
+            logger.debug("Beacon: failed to extract requests_by_stack", exc_info=True)
+
         # --- Effectiveness metrics ---
         try:
             tokens = stats.get("tokens", {})

headroom/telemetry/context.py

@@ -0,0 +1,108 @@
+"""Deployment context detection for telemetry.
+
+Derives two orthogonal identity fields the beacon reports:
+
+* ``install_mode`` — how the proxy process is deployed
+  (``persistent`` / ``on_demand`` / ``wrapped`` / ``unknown``).
+* ``headroom_stack`` — how Headroom is being invoked
+  (``proxy``, ``wrap_claude``, ``adapter_ts_openai``, ...).
+
+Both helpers are best-effort and never raise: telemetry is fire-and-forget and
+must not break the proxy.
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+_KNOWN_WRAP_AGENTS = frozenset(
+    {"claude", "copilot", "codex", "aider", "cursor", "openclaw"}
+)
+
+
+def _slug_from_agent_type(agent_type: str) -> str:
+    """Return ``wrap_<agent>`` for known agents, otherwise ``unknown``."""
+
+    agent_type = agent_type.strip().lower()
+    if agent_type and agent_type in _KNOWN_WRAP_AGENTS:
+        return f"wrap_{agent_type}"
+    return "unknown"
+
+
+def detect_install_mode(port: int) -> str:
+    """Classify how the proxy is deployed.
+
+    Resolution order:
+
+    1. ``HEADROOM_AGENT_TYPE`` env var set → ``wrapped`` (spawned by ``headroom wrap``).
+    2. A ``DeploymentManifest`` on disk whose port matches ``port`` → ``persistent``.
+    3. Otherwise → ``on_demand``.
+
+    Any failure falls back to ``unknown`` so a broken install subsystem
+    doesn't silence telemetry.
+    """
+
+    try:
+        if os.environ.get("HEADROOM_AGENT_TYPE"):
+            return "wrapped"
+
+        try:
+            from headroom.install.state import list_manifests
+
+            for manifest in list_manifests():
+                if getattr(manifest, "port", None) == port:
+                    return "persistent"
+        except Exception:
+            logger.debug(
+                "Beacon: manifest lookup failed during install_mode detection",
+                exc_info=True,
+            )
+
+        return "on_demand"
+    except Exception:
+        logger.debug("Beacon: detect_install_mode crashed", exc_info=True)
+        return "unknown"
+
+
+def detect_stack(stats: dict[str, Any] | None = None) -> str:
+    """Classify how Headroom is being invoked.
+
+    Resolution order:
+
+    1. ``HEADROOM_STACK`` env var set → use that slug verbatim.
+    2. ``HEADROOM_AGENT_TYPE`` env var set → ``wrap_<agent>``.
+    3. ``stats['requests']['by_stack']`` dict populated →
+       pick the stack with >80% of requests, else ``mixed``.
+    4. Otherwise → ``proxy``.
+
+    Any failure falls back to ``unknown``.
+    """
+
+    try:
+        explicit = os.environ.get("HEADROOM_STACK")
+        if explicit:
+            return explicit.strip().lower()
+
+        agent_type = os.environ.get("HEADROOM_AGENT_TYPE")
+        if agent_type:
+            return _slug_from_agent_type(agent_type)
+
+        if stats:
+            by_stack = (stats.get("requests") or {}).get("by_stack") or {}
+            if by_stack:
+                total = sum(by_stack.values())
+                if total > 0:
+                    dominant, count = max(by_stack.items(), key=lambda kv: kv[1])
+                    if count / total >= 0.8:
+                        return dominant
+                    return "mixed"
+
+        return "proxy"
+    except Exception:
+        logger.debug("Beacon: detect_stack crashed", exc_info=True)
+        return "unknown"

sdk/typescript/src/adapters/anthropic.ts

@@ -186,7 +186,11 @@ export function withHeadroom<T extends AnthropicLike>(
       options.model ?? params.model ?? "claude-sonnet-4-5-20250929";
 
     const openaiMessages = anthropicToOpenAI(messages);
-    const result = await compress(openaiMessages, { ...options, model });
+    const result = await compress(openaiMessages, {
+      stack: "adapter_ts_anthropic",
+      ...options,
+      model,
+    });
 
     const anthropicMessages = result.compressed
       ? openAIToAnthropic(result.messages)

sdk/typescript/src/adapters/gemini.ts

@@ -44,7 +44,7 @@ export function withHeadroom<T extends GeminiModelLike>(
     // compress() auto-detects Gemini format
     const result = await compress(
       Array.isArray(contents) ? contents : [contents],
-      { ...options, model: modelName },
+      { stack: "adapter_ts_gemini", ...options, model: modelName },
     );
 
     const newParams = Array.isArray(params)
@@ -61,7 +61,7 @@ export function withHeadroom<T extends GeminiModelLike>(
 
         const result = await compress(
           Array.isArray(contents) ? contents : [contents],
-          { ...options, model: modelName },
+          { stack: "adapter_ts_gemini", ...options, model: modelName },
         );
 
         const newParams = Array.isArray(params)

sdk/typescript/src/adapters/openai.ts

@@ -42,7 +42,11 @@ export function withHeadroom<T extends OpenAILike>(
     const messages: OpenAIMessage[] = params.messages;
     const model = options.model ?? params.model ?? "gpt-4o";
 
-    const result = await compress(messages, { ...options, model });
+    const result = await compress(messages, {
+      stack: "adapter_ts_openai",
+      ...options,
+      model,
+    });
 
     return originalCreate({
       ...params,

sdk/typescript/src/adapters/vercel-ai.ts

@@ -54,7 +54,11 @@ export function headroomMiddleware(options: CompressOptions = {}) {
       const openaiMessages = vercelToOpenAI(prompt);
 
       // Compress via Headroom
-      const result = await compress(openaiMessages, { ...options, model });
+      const result = await compress(openaiMessages, {
+        stack: "adapter_ts_vercel_ai",
+        ...options,
+        model,
+      });
 
       if (!result.compressed) return params;
 
@@ -75,7 +79,10 @@ export async function compressVercelMessages(
   options: CompressOptions = {},
 ): Promise<CompressResult & { messages: VercelMessage[] }> {
   const openaiMessages = vercelToOpenAI(messages);
-  const result = await compress(openaiMessages, options);
+  const result = await compress(openaiMessages, {
+    stack: "adapter_ts_vercel_ai",
+    ...options,
+  });
   const vercelMessages = openAIToVercel(result.messages);
 
   return {

sdk/typescript/src/client.ts

@@ -201,6 +201,7 @@ export class HeadroomClient implements HeadroomClientInterface {
   private fallback: boolean;
   private retries: number;
   private config: HeadroomConfig | undefined;
+  private stack: string | undefined;
 
   /** @internal */ providerApiKey: string | undefined;
 
@@ -221,6 +222,7 @@ export class HeadroomClient implements HeadroomClientInterface {
     this.retries = options.retries ?? DEFAULT_RETRIES;
     this.providerApiKey = options.providerApiKey;
     this.config = options.config;
+    this.stack = options.stack;
 
     this.chat = { completions: new ChatCompletions(this) };
     this.messages = new Messages(this);
@@ -513,6 +515,9 @@ export class HeadroomClient implements HeadroomClientInterface {
         headers["Authorization"] = `Bearer ${this.apiKey}`;
       }
     }
+    if (this.stack && !headers["X-Headroom-Stack"]) {
+      headers["X-Headroom-Stack"] = this.stack;
+    }
 
     let response: Response;
     try {
@@ -558,6 +563,9 @@ export class HeadroomClient implements HeadroomClientInterface {
     if (this.apiKey) {
       headers["Authorization"] = `Bearer ${this.apiKey}`;
     }
+    if (this.stack && !headers["X-Headroom-Stack"]) {
+      headers["X-Headroom-Stack"] = this.stack;
+    }
 
     let response: Response;
     try {

sdk/typescript/src/types.ts

@@ -67,6 +67,8 @@ export interface CompressOptions {
   tokenBudget?: number;
   /** Compression hooks for pre/post processing. */
   hooks?: CompressionHooks;
+  /** Integration slug sent as X-Headroom-Stack (e.g. "adapter_ts_openai"). */
+  stack?: string;
 }
 
 export interface CompressResult {
@@ -89,6 +91,8 @@ export interface HeadroomClientOptions {
   timeout?: number;
   fallback?: boolean;
   retries?: number;
+  /** Integration slug sent as X-Headroom-Stack on every request. */
+  stack?: string;
 }
 
 export interface HeadroomClientInterface {

sql/create_proxy_telemetry_v2.sql

@@ -15,6 +15,9 @@ CREATE TABLE IF NOT EXISTS proxy_telemetry_v2 (
     sdk text,
     backend text,
     session_minutes integer,
+    headroom_stack text,
+    install_mode text,
+    requests_by_stack jsonb,
 
     -- Effectiveness metrics
     tokens_saved bigint,

sql/upgrade_telemetry_stack_context.sql

@@ -0,0 +1,15 @@
+-- Add deployment-context columns to proxy_telemetry_v2
+-- Run in Supabase SQL Editor.
+--
+-- headroom_stack:      how Headroom is being invoked — e.g. "proxy",
+--                      "wrap_claude", "adapter_ts_openai", "mixed", "unknown".
+-- install_mode:        how the proxy process is deployed — one of
+--                      "wrapped", "persistent", "on_demand", "unknown".
+-- requests_by_stack:   JSONB dict {stack_slug: count} for sessions that see
+--                      multiple integration surfaces (e.g. a persistent proxy
+--                      serving both wrap_claude and TS adapter callers).
+
+ALTER TABLE proxy_telemetry_v2
+  ADD COLUMN IF NOT EXISTS headroom_stack text,
+  ADD COLUMN IF NOT EXISTS install_mode text,
+  ADD COLUMN IF NOT EXISTS requests_by_stack jsonb;

tests/test_telemetry_context.py

@@ -0,0 +1,102 @@
+"""Tests for headroom.telemetry.context (install_mode + headroom_stack detection)."""
+
+from __future__ import annotations
+
+from types import SimpleNamespace
+
+import pytest
+
+from headroom.telemetry.context import detect_install_mode, detect_stack
+
+
+@pytest.fixture(autouse=True)
+def _clean_env(monkeypatch):
+    """Every test starts without our env vars set."""
+
+    monkeypatch.delenv("HEADROOM_STACK", raising=False)
+    monkeypatch.delenv("HEADROOM_AGENT_TYPE", raising=False)
+    yield
+
+
+class TestDetectInstallMode:
+    def test_wrapped_when_agent_type_set(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_AGENT_TYPE", "claude")
+        assert detect_install_mode(8787) == "wrapped"
+
+    def test_on_demand_when_no_env_and_no_manifest(self, monkeypatch):
+        monkeypatch.setattr(
+            "headroom.install.state.list_manifests", lambda: []
+        )
+        assert detect_install_mode(8787) == "on_demand"
+
+    def test_persistent_when_manifest_matches_port(self, monkeypatch):
+        manifest = SimpleNamespace(port=8787, profile="default")
+        monkeypatch.setattr(
+            "headroom.install.state.list_manifests", lambda: [manifest]
+        )
+        assert detect_install_mode(8787) == "persistent"
+
+    def test_on_demand_when_manifest_port_mismatches(self, monkeypatch):
+        manifest = SimpleNamespace(port=9000, profile="other")
+        monkeypatch.setattr(
+            "headroom.install.state.list_manifests", lambda: [manifest]
+        )
+        assert detect_install_mode(8787) == "on_demand"
+
+    def test_wrapped_takes_precedence_over_manifest(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_AGENT_TYPE", "codex")
+        manifest = SimpleNamespace(port=8787, profile="default")
+        monkeypatch.setattr(
+            "headroom.install.state.list_manifests", lambda: [manifest]
+        )
+        assert detect_install_mode(8787) == "wrapped"
+
+    def test_manifest_crash_falls_back_to_on_demand(self, monkeypatch):
+        def _boom():
+            raise RuntimeError("disk gone")
+
+        monkeypatch.setattr("headroom.install.state.list_manifests", _boom)
+        # install_mode should not raise; graceful fallback
+        assert detect_install_mode(8787) == "on_demand"
+
+
+class TestDetectStack:
+    def test_explicit_env_wins(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_STACK", "custom_slug")
+        assert detect_stack() == "custom_slug"
+
+    def test_explicit_env_overrides_agent_type(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_STACK", "proxy")
+        monkeypatch.setenv("HEADROOM_AGENT_TYPE", "claude")
+        assert detect_stack() == "proxy"
+
+    def test_wrap_slug_from_agent_type(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_AGENT_TYPE", "claude")
+        assert detect_stack() == "wrap_claude"
+
+    def test_unknown_agent_type_rejected(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_AGENT_TYPE", "somebespoke")
+        assert detect_stack() == "unknown"
+
+    def test_default_is_proxy(self):
+        assert detect_stack() == "proxy"
+
+    def test_default_is_proxy_with_empty_stats(self):
+        assert detect_stack({"requests": {"by_stack": {}}}) == "proxy"
+
+    def test_dominant_stack_from_stats(self):
+        stats = {"requests": {"by_stack": {"adapter_ts_openai": 90, "adapter_ts_anthropic": 10}}}
+        assert detect_stack(stats) == "adapter_ts_openai"
+
+    def test_mixed_when_no_dominant_stack(self):
+        stats = {"requests": {"by_stack": {"adapter_ts_openai": 40, "adapter_ts_anthropic": 60}}}
+        assert detect_stack(stats) == "mixed"
+
+    def test_single_stack_is_dominant(self):
+        stats = {"requests": {"by_stack": {"adapter_ts_openai": 3}}}
+        assert detect_stack(stats) == "adapter_ts_openai"
+
+    def test_env_beats_stats(self, monkeypatch):
+        monkeypatch.setenv("HEADROOM_STACK", "wrap_claude")
+        stats = {"requests": {"by_stack": {"adapter_ts_openai": 100}}}
+        assert detect_stack(stats) == "wrap_claude"