feat: OpenTelemetry LGTM observability, dev tooling, and memoir UX fixes (#31) (#32)

* add staging ios app build script

* feat(api): add OpenTelemetry LGTM stack for local observability

Wire OTel traces, metrics, and logs through a collector to Tempo,
Prometheus, and Loki, with custom LLM instrumentation, dev compose overlay,
Grafana provisioning, env templates, and development.sh auto-start.



* feat: expand observability, harden dev tooling, and fix expo staging UX

Add business and LLM Prometheus metrics with Grafana dashboards, alerting,
and a metrics verification script. Wire telemetry through adapters and core
LLM paths, and document the local LGTM workflow.

Fix development.sh for macOS bash 3.2, open Grafana and eval-web in Chrome,
and repair eval-web auto-open (unbound EVAL_WEB_BROWSER_SCHEDULED). Merge
internal-eval into the main dev script with improved compose handling.

Require EXPO_PUBLIC_* at build time, improve iOS HTTP ATS for staging IPs,
show memoir empty state instead of load errors when no chapters exist, and
add jest env setup plus chapter list response normalization.



* chore: enable Grafana Assistant Cursor plugin



* fix: memoir empty state and repair withdrawn 0020_chapters_book_id stamp

Show empty memoir UI when the chapter list succeeds with no items; treat auth/404 as non-fatal. Extend alembic revision repair so local dev DBs stamped with the removed 0020_chapters_book_id migration can roll back and upgrade to 0019.



---------

Co-authored-by: Kevin <kevin@brighteng.org>
Co-authored-by: Cursor <cursoragent@cursor.com>

api/app/features/conversation/ws/pipeline.py

@@ -20,6 +20,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from app.agents.chat import ChatOrchestrator
 from app.agents.chat.reply_limits import segments_from_llm_response
 from app.core.agent_logging import agent_summary_enabled
+from app.core.business_telemetry import business_span
 from app.core.config import settings
 from app.core.cos_url_keys import (
     TTS_PRESIGNED_EXPIRES_SEC,
@@ -634,6 +635,12 @@ def _split_audio_bytes(audio_bytes: bytes, fmt: str) -> list[bytes]:
 async def _transcribe_long_audio(audio_bytes: bytes, fmt: str = "m4a") -> str:
     """超过 55 s 的音频自动切片后并行 ASR；短音频直接转写。"""
     asr = get_asr_provider()
+    return await _transcribe_long_audio_inner(audio_bytes, fmt, asr)
+
+
+async def _transcribe_long_audio_inner(
+    audio_bytes: bytes, fmt: str, asr: Any
+) -> str:
     try:
         chunks = await asyncio.to_thread(_split_audio_bytes, audio_bytes, fmt)
     except Exception as exc:
@@ -938,6 +945,32 @@ async def process_user_message(
     tts_this_turn: Optional[bool] = None,
 ) -> None:
     """处理用户消息，生成 Agent 回应。由 ChatOrchestrator 路由到 ProfileAgent 或 InterviewAgent。"""
+    with business_span("conversation.ws.process_turn"):
+        await _process_user_message_inner(
+            conversation_id,
+            user_message,
+            conversation,
+            segment,
+            db,
+            user,
+            user_message_timestamp,
+            force_skip_tts=force_skip_tts,
+            tts_this_turn=tts_this_turn,
+        )
+
+
+async def _process_user_message_inner(
+    conversation_id: str,
+    user_message: str,
+    conversation: Conversation,
+    segment: Segment,
+    db: AsyncSession,
+    user: User = None,
+    user_message_timestamp: Optional[datetime] = None,
+    *,
+    force_skip_tts: bool = False,
+    tts_this_turn: Optional[bool] = None,
+) -> None:
     store = ConversationHistoryStore(db)
     tts_urls: list[str] = []
     user_language = _resolve_user_language(user)