Document OpenRouter as a supported LLM_BASE_URL provider

Send usage: { include: true } on every chat completion request (an
OpenRouter-specific extension - requires Usage Accounting enabled on
the OpenRouter account; other OpenAI-compatible providers generally
ignore unknown top-level request fields). When the response includes
OpenRouter's own usage.cost, forward it to Langfuse as
costDetails.total, so cost is the real per-request figure OpenRouter
billed rather than a guess from Langfuse's model price list (which
has no entry for proxied/aggregated OpenRouter model names anyway).

Verified: full suite (84/84) passing, tsc/eslint clean, docker
compose build succeeds. Per Langfuse's OpenRouter integration guide:
https://langfuse.com/integrations/gateways/openrouter

.env.example

@@ -4,7 +4,12 @@ JELLYFIN_API_KEY=
 JELLYFIN_USER_ID=
 TMDB_API_KEY=
 
-# LLM (disabled by default — works with Ollama, OpenAI, LM Studio, etc.)
+# LLM (disabled by default — any OpenAI-compatible endpoint: Ollama, OpenAI,
+# LM Studio, OpenRouter, etc.)
+# For OpenRouter specifically: LLM_BASE_URL=https://openrouter.ai/api/v1,
+# LLM_API_KEY=<your OpenRouter key>, LLM_MODEL=<an OpenRouter model slug>.
+# Enable "Usage Accounting" on the OpenRouter account to get real per-request
+# cost reported back to Langfuse instead of a price-list estimate.
 LLM_ENABLED=false
 LLM_BASE_URL=http://localhost:11434/v1
 LLM_API_KEY=

Dockerfile

@@ -1,7 +1,7 @@
 FROM node:22-alpine AS build
 WORKDIR /app
 RUN corepack enable
-COPY package.json pnpm-lock.yaml ./
+COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
 RUN pnpm install --frozen-lockfile --ignore-scripts
 COPY tsconfig.json ./
 COPY src ./src
@@ -11,7 +11,7 @@ FROM node:22-alpine AS runtime
 WORKDIR /app
 ENV NODE_ENV=production
 RUN corepack enable
-COPY package.json pnpm-lock.yaml ./
+COPY package.json pnpm-lock.yaml pnpm-workspace.yaml ./
 RUN pnpm install --frozen-lockfile --prod
 COPY --from=build /app/dist ./dist
 ENTRYPOINT ["node", "dist/app/index.js"]

docker-compose.yml

@@ -34,9 +34,8 @@ services:
       LANGFUSE_BASE_URL: ${LANGFUSE_BASE_URL}
       LANGFUSE_PROMPT_CACHE_ENABLED: ${LANGFUSE_PROMPT_CACHE_ENABLED}
     networks:
-      - media
       - coolify
 
 networks:
-  media:
   coolify:
+    external: true

package.json

@@ -3,6 +3,7 @@
   "version": "0.1.0",
   "private": true,
   "main": "dist/app/index.js",
+  "packageManager": "pnpm@11.21.0",
   "scripts": {
     "dev": "tsx watch src/app/index.ts",
     "build": "tsc -p tsconfig.json",
@@ -13,9 +14,12 @@
     "format": "prettier --write ."
   },
   "dependencies": {
+    "@langfuse/client": "^5.10.0",
+    "@langfuse/otel": "^5.10.0",
+    "@langfuse/tracing": "^5.10.0",
+    "@opentelemetry/sdk-node": "^0.221.0",
     "dotenv": "^16.4.5",
     "fastify": "^5.0.0",
-    "langfuse": "^3.30.0",
     "node-cron": "^3.0.3",
     "openai": "^4.60.0",
     "pino": "^9.4.0",

pnpm-lock.yaml

@@ -8,15 +8,24 @@ importers:
 
   .:
     dependencies:
+      '@langfuse/client':
+        specifier: ^5.10.0
+        version: 5.10.0(@opentelemetry/api@1.9.1)
+      '@langfuse/otel':
+        specifier: ^5.10.0
+        version: 5.10.0(@opentelemetry/api@1.9.1)(@opentelemetry/core@2.10.0(@opentelemetry/api@1.9.1))(@opentelemetry/exporter-trace-otlp-http@0.221.0(@opentelemetry/api@1.9.1))(@opentelemetry/sdk-trace-base@2.10.0(@opentelemetry/api@1.9.1))
+      '@langfuse/tracing':
+        specifier: ^5.10.0
+        version: 5.10.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/sdk-node':
+        specifier: ^0.221.0
+        version: 0.221.0(@opentelemetry/api@1.9.1)(supports-color@7.2.0)
       dotenv:
         specifier: ^16.4.5
         version: 16.6.1
       fastify:
         specifier: ^5.0.0
         version: 5.11.3
-      langfuse:
-        specifier: ^3.30.0
-        version: 3.38.20
       node-cron:
         specifier: ^3.0.3
         version: 3.0.3
@@ -393,6 +402,15 @@ packages:
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+    engines: {node: '>=12.10.0'}
+
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+    engines: {node: '>=6'}
+    hasBin: true
+
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+
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+    resolution: {integrity: sha512-vW1GmwMZNnL+gMRaovlh9yZX74kc+TTU3FObkkurpMaRtBfLP3ldjS9KQWlwZgraRE0+dheEEoAxdzcJQ8eXZg==}
+
+  '@protobufjs/fetch@1.1.1':
+    resolution: {integrity: sha512-GpptLrs57adMSuHi3VNj0mAF8dwh36LMaYF6XyJ6JMWlVsc+t42tm1HSEDmOs3A8fC9yyeisgLhsTVQokOZ0zw==}
+
+  '@protobufjs/float@1.0.2':
+    resolution: {integrity: sha512-Ddb+kVXlXst9d+R9PfTIxh1EdNkgoRe5tOX6t01f1lYWOvJnSPDBlG241QLzcyPdoNTsblLUdujGSE4RzrTZGQ==}
+
+  '@protobufjs/path@1.1.2':
+    resolution: {integrity: sha512-6JOcJ5Tm08dOHAbdR3GrvP+yUUfkjG5ePsHYczMFLq3ZmMkAD98cDgcT2iA1lJ9NVwFd4tH/iSSoe44YWkltEA==}
+
+  '@protobufjs/pool@1.1.0':
+    resolution: {integrity: sha512-0kELaGSIDBKvcgS4zkjz1PeddatrjYcmMWOlAuAPwAeccUrPHdUqo/J6LiymHHEiJT5NrF1UVwxY14f+fy4WQw==}
+
+  '@protobufjs/utf8@1.1.2':
+    resolution: {integrity: sha512-b1UQwcEZ4yCnMCD8DAL1VlbvBJE9/IX4FTIp7BG1xYpf29SLazLSrqUkj4w7Y5y7cCVP6E5tcqqcI0xemPkHug==}
+
   '@rollup/rollup-android-arm-eabi@4.62.4':
     resolution: {integrity: sha512-RrPokAb7dmbxFoeO3TloqHyOjgye8RkBhSqmp4aJMIex4c9r46ZstPnleDQOq1t46VOVjwIuwNogIqbodV1Vvg==}
     cpu: [arm]
@@ -779,6 +1026,13 @@ packages:
     resolution: {integrity: sha512-PAJdDJusoxnwm1VwW07VWwUN1sl7smmC3OKggvndJFadxxDRyFJBX/ggnu/KE4kQAB7a3Dp8f/YXC1FlUprWmA==}
     engines: {node: '>= 16'}
 
+  cjs-module-lexer@2.2.0:
+    resolution: {integrity: sha512-4bHTS2YuzUvtoLjdy+98ykbNB5jS0+07EvFNXerqZQJ89F7DI6ET7OQo/HJuW6K0aVsKA9hj9/RVb2kQVOrPDQ==}
+
+  cliui@8.0.1:
+    resolution: {integrity: sha512-BSeNnyus75C4//NQ9gQt1/csTXyo/8Sb+afLAkzAptFuMsod9HFokGNudZpi/oQV73hnVK+sR+5PVRMd+Dr7YQ==}
+    engines: {node: '>=12'}
+
   color-convert@2.0.1:
     resolution: {integrity: sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==}
     engines: {node: '>=7.0.0'}
@@ -843,6 +1097,9 @@ packages:
     resolution: {integrity: sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==}
     engines: {node: '>= 0.4'}
 
+  emoji-regex@8.0.0:
+    resolution: {integrity: sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==}
+
   end-of-stream@1.4.5:
     resolution: {integrity: sha512-ooEGc6HP26xXq/N+GCGOT0JKCLDGrq2bQUZrQ7gyrJiZANJ/8YDTxTpQBXGMn+WbIQXNVpyWymm7KYVICQnyOg==}
 
@@ -857,6 +1114,9 @@ packages:
   es-module-lexer@1.7.0:
     resolution: {integrity: sha512-jEQoCwk8hyb2AZziIOLhDqpm5+2ww5uIE6lkO/6jcOCusfk6LhMHpXXfBLXTZ7Ydyt0j4VoUQv6uGNYbdW+kBA==}
 
+  es-module-lexer@2.3.1:
+    resolution: {integrity: sha512-shc1dbU90Yl/xq1QrC7QRtfcwURZuVRfPhZbDoldJ1cn1gzDvBaBWlv0eFolj5+0znnPJz5TXLxsN77X/12KTA==}
+
   es-object-atoms@1.1.2:
     resolution: {integrity: sha512-HWcBoN6NileqtSydK2FqHbS/LoDd2pqrnQHLyJzBj4kOp/ky2MWMN694xOfkK8/SnUsW2DH7EfyVlydKCsm1Zw==}
     engines: {node: '>= 0.4'}
@@ -875,6 +1135,10 @@ packages:
     engines: {node: '>=18'}
     hasBin: true
 
+  escalade@3.2.0:
+    resolution: {integrity: sha512-WUj2qlxaQtO4g6Pq5c29GTcWGDyd8itL8zTlipgECz3JesAiiOKotd8JU6otB3PACgG6xkJUyVhboMS+bje/jA==}
+    engines: {node: '>=6'}
+
   escape-string-regexp@4.0.0:
     resolution: {integrity: sha512-TtpcNJ3XAzx3Gq8sWRzJaVajRs0uVxA2YAkdb1jm2YkPz4G6egUFAyA3n5vtEIZefPk5Wa4UXbKuS5fKkJWdgA==}
     engines: {node: '>=10'}
@@ -1018,6 +1282,10 @@ packages:
   function-bind@1.1.2:
     resolution: {integrity: sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==}
 
+  get-caller-file@2.0.5:
+    resolution: {integrity: sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==}
+    engines: {node: 6.* || 8.* || >= 10.*}
+
   get-intrinsic@1.3.0:
     resolution: {integrity: sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ==}
     engines: {node: '>= 0.4'}
@@ -1082,6 +1350,10 @@ packages:
     resolution: {integrity: sha512-TR3KfrTZTYLPB6jUjfx6MF9WcWrHL9su5TObK4ZkYgBdWKPOFoSoQIdEuTuR82pmtxH2spWG9h6etwfr1pLBqQ==}
     engines: {node: '>=6'}
 
+  import-in-the-middle@3.3.3:
+    resolution: {integrity: sha512-AiohS3H80sXO6owEltjGX+glb7qXaDhBoJb9XcQVH4UI207xu/bDLUcadVKp7Qe576reg9yr/PXZjV5qx8gfbA==}
+    engines: {node: '>=18'}
+
   imurmurhash@0.1.4:
     resolution: {integrity: sha512-JmXMZ6wuvDmLiHEml9ykzqO6lwFbof0GG4IkcGaENdCRDDmMVnny7s5HsIgHCbaq0w2MyPhDqkhTUgS2LU2PHA==}
     engines: {node: '>=0.8.19'}
@@ -1101,6 +1373,10 @@ packages:
     resolution: {integrity: sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==}
     engines: {node: '>=0.10.0'}
 
+  is-fullwidth-code-point@3.0.0:
+    resolution: {integrity: sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==}
+    engines: {node: '>=8'}
+
   is-glob@4.0.3:
     resolution: {integrity: sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==}
     engines: {node: '>=0.10.0'}
@@ -1138,14 +1414,6 @@ packages:
   keyv@4.5.4:
     resolution: {integrity: sha512-oxVHkHR/EJf2CNXnWxRLW6mg7JyCCUcG0DtEGmL2ctUo1PNTin1PUil+r/+4r5MpVgC/fn1kjsx7mjSujKqIpw==}
 
-  langfuse-core@3.38.20:
-    resolution: {integrity: sha512-zBKVmQN/1oT5VWZUBYlWzvokIlkC/6mnpgr/2atMyTeAm+jR3ia7w2iJMjlrF5/oG8ukO1s8+LDRCzJpF1QeEA==}
-    engines: {node: '>=18'}
-
-  langfuse@3.38.20:
-    resolution: {integrity: sha512-MAmBAASSzJtmK1O9HQegA1mFsQhT8Yf+OJRGvE7FXkyv3g/eiBE0glLD0Ohg3pkxhoPdggM5SejK7ue9ctlaMA==}
-    engines: {node: '>=18'}
-
   levn@0.4.1:
     resolution: {integrity: sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ==}
     engines: {node: '>= 0.8.0'}
@@ -1157,9 +1425,15 @@ packages:
     resolution: {integrity: sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw==}
     engines: {node: '>=10'}
 
+  lodash.camelcase@4.3.0:
+    resolution: {integrity: sha512-TwuEnCnxbc3rAvhf/LbG7tJUDzhqXyFnv3dtzLOPgCG/hODL7WFnsbwktkD7yUV0RrreP/l1PALq/YSg6VvjlA==}
+
   lodash.merge@4.6.2:
     resolution: {integrity: sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ==}
 
+  long@5.3.2:
+    resolution: {integrity: sha512-mNAgZ1GmyNhD7AuqnTG3/VQ26o760+ZYBPKjPvugO8+nLbYfX6TVpJPseBvopbdY+qpZ/lKUnmEc1LeZYS3QAA==}
+
   loupe@3.2.1:
     resolution: {integrity: sha512-CdzqowRJCeLU72bHvWqwRBBlLcMEtIvGrlvef74kMnV2AolS9Y8xUv1I0U/MNAWMhBlKIoyuEgoJ0t/bbwHbLQ==}
 
@@ -1188,6 +1462,9 @@ packages:
   minimist@1.2.8:
     resolution: {integrity: sha512-2yyAR8qBkN3YuheJanUpWC5U3bb5osDywNB8RzDVlDwDHbocAJveqqj1u8+SVD7jkWT4yvsHCpWqqWqAxb0zCA==}
 
+  module-details-from-path@1.0.4:
+    resolution: {integrity: sha512-EGWKgxALGMgzvxYF1UyGTy0HXX/2vHLkw6+NvDKW2jypWbHpjQuj4UMcqQWXHERJhVGKikolT06G3bcKe4fi7w==}
+
   ms@2.1.3:
     resolution: {integrity: sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==}
 
@@ -1319,6 +1596,10 @@ packages:
     resolution: {integrity: sha512-cdGef/drWFoydD1JsMzuFf8100nZl+GT+yacc2bEced5f9Rjk4z+WtFUTBu9PhOi9j/jfmBPu0mMEY4wIdAF8A==}
     engines: {node: '>= 0.6.0'}
 
+  protobufjs@7.6.5:
+    resolution: {integrity: sha512-/FPD0nUc9jH6rfFjji9IBqOz4pcSE3CsT1m7Ep6Mdb0LxSUMj8hgl6GomOvZzpNpAqqGaXA0P3VSrZLFzIhQrw==}
+    engines: {node: '>=12.0.0'}
+
   pump@3.0.4:
     resolution: {integrity: sha512-VS7sjc6KR7e1ukRFhQSY5LM2uBWAUPiOPa/A3mkKmiMwSmRFUITt0xuj+/lesgnCv+dPIEYlkzrcyXgquIHMcA==}
 
@@ -1340,10 +1621,18 @@ packages:
     resolution: {integrity: sha512-57frrGM/OCTLqLOAh0mhVA9VBMHd+9U7Zb2THMGdBUoZVOtGbJzjxsYGDJ3A9AYYCP4hn6y1TVbaOfzWtm5GFg==}
     engines: {node: '>= 12.13.0'}
 
+  require-directory@2.1.1:
+    resolution: {integrity: sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q==}
+    engines: {node: '>=0.10.0'}
+
   require-from-string@2.0.2:
     resolution: {integrity: sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==}
     engines: {node: '>=0.10.0'}
 
+  require-in-the-middle@8.0.1:
+    resolution: {integrity: sha512-QT7FVMXfWOYFbeRBF6nu+I6tr2Tf3u0q8RIEjNob/heKY/nh7drD/k7eeMFmSQgnTtCzLDcCu/XEnpW2wk4xCQ==}
+    engines: {node: '>=9.3.0 || >=8.10.0 <9.0.0'}
+
   resolve-from@4.0.0:
     resolution: {integrity: sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g==}
     engines: {node: '>=4'}
@@ -1425,6 +1714,10 @@ packages:
   std-env@3.10.0:
     resolution: {integrity: sha512-5GS12FdOZNliM5mAOxFRg7Ir0pWz8MdpYm6AY6VPkGpbA7ZzmbzNcBJQ0GPvvyWgcY7QAhCgf9Uy89I03faLkg==}
 
+  string-width@4.2.3:
+    resolution: {integrity: sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==}
+    engines: {node: '>=8'}
+
   string_decoder@1.3.0:
     resolution: {integrity: sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==}
 
@@ -1598,9 +1891,30 @@ packages:
     resolution: {integrity: sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==}
     engines: {node: '>=0.10.0'}
 
+  wrap-ansi@7.0.0:
+    resolution: {integrity: sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==}
+    engines: {node: '>=10'}
+
   wrappy@1.0.2:
     resolution: {integrity: sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==}
 
+  y18n@5.0.8:
+    resolution: {integrity: sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==}
+    engines: {node: '>=10'}
+
+  yaml@2.9.0:
+    resolution: {integrity: sha512-2AvhNX3mb8zd6Zy7INTtSpl1F15HW6Wnqj0srWlkKLcpYl/gMIMJiyuGq2KeI2YFxUPjdlB+3Lc10seMLtL4cA==}
+    engines: {node: '>= 14.6'}
+    hasBin: true
+
+  yargs-parser@21.1.1:
+    resolution: {integrity: sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==}
+    engines: {node: '>=12'}
+
+  yargs@17.7.3:
+    resolution: {integrity: sha512-GZtjxm/J/4TSxuL3FNYjCmLktBTnIw/rVmKSIyKeYAZpmJB2ig9VauCC5xsa82GNKVKDAqpOn3KVzNt0zmrU0g==}
+    engines: {node: '>=12'}
+
   yocto-queue@0.1.0:
     resolution: {integrity: sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==}
     engines: {node: '>=10'}
@@ -1803,6 +2117,18 @@ snapshots:
       '@fastify/forwarded': 3.0.2
       ipaddr.js: 2.5.0
 
+  '@grpc/grpc-js@1.14.4':
+    dependencies:
+      '@grpc/proto-loader': 0.8.1
+      '@js-sdsl/ordered-map': 4.4.2
+
+  '@grpc/proto-loader@0.8.1':
+    dependencies:
+      lodash.camelcase: 4.3.0
+      long: 5.3.2
+      protobufjs: 7.6.5
+      yargs: 17.7.3
+
   '@humanwhocodes/config-array@0.13.0(supports-color@7.2.0)':
     dependencies:
       '@humanwhocodes/object-schema': 2.0.3
@@ -1817,6 +2143,32 @@ snapshots:
 
   '@jridgewell/sourcemap-codec@1.5.5': {}
 
+  '@js-sdsl/ordered-map@4.4.2': {}
+
+  '@langfuse/client@5.10.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@langfuse/core': 5.10.0(@opentelemetry/api@1.9.1)
+      '@langfuse/tracing': 5.10.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/api': 1.9.1
+      mustache: 4.2.0
+
+  '@langfuse/core@5.10.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+
+  '@langfuse/otel@5.10.0(@opentelemetry/api@1.9.1)(@opentelemetry/core@2.10.0(@opentelemetry/api@1.9.1))(@opentelemetry/exporter-trace-otlp-http@0.221.0(@opentelemetry/api@1.9.1))(@opentelemetry/sdk-trace-base@2.10.0(@opentelemetry/api@1.9.1))':
+    dependencies:
+      '@langfuse/core': 5.10.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/api': 1.9.1
+      '@opentelemetry/core': 2.10.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/exporter-trace-otlp-http': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/sdk-trace-base': 2.10.0(@opentelemetry/api@1.9.1)
+
+  '@langfuse/tracing@5.10.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@langfuse/core': 5.10.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/api': 1.9.1
+
   '@napi-rs/lzma-linux-x64-gnu@1.5.1':
     optional: true
 
@@ -1832,8 +2184,252 @@ snapshots:
       '@nodelib/fs.scandir': 2.1.5
       fastq: 1.20.1
 
+  '@opentelemetry/api-logs@0.221.0':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+
+  '@opentelemetry/api@1.9.1': {}
+
+  '@opentelemetry/configuration@0.221.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+      '@opentelemetry/core': 2.10.0(@opentelemetry/api@1.9.1)
+      yaml: 2.9.0
+
+  '@opentelemetry/context-async-hooks@2.10.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+
+  '@opentelemetry/core@2.10.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+      '@opentelemetry/semantic-conventions': 1.43.0
+
+  '@opentelemetry/exporter-logs-otlp-grpc@0.221.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+      '@opentelemetry/otlp-exporter-base': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/otlp-grpc-exporter-base': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/otlp-transformer': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/sdk-logs': 0.221.0(@opentelemetry/api@1.9.1)
+
+  '@opentelemetry/exporter-logs-otlp-http@0.221.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+      '@opentelemetry/otlp-exporter-base': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/otlp-transformer': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/sdk-logs': 0.221.0(@opentelemetry/api@1.9.1)
+
+  '@opentelemetry/exporter-logs-otlp-proto@0.221.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
+      '@opentelemetry/otlp-exporter-base': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/otlp-transformer': 0.221.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/sdk-logs': 0.221.0(@opentelemetry/api@1.9.1)
+
+  '@opentelemetry/exporter-metrics-otlp-grpc@0.221.0(@opentelemetry/api@1.9.1)':
+    dependencies:
+      '@opentelemetry/api': 1.9.1
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+    transitivePeerDependencies:
+      - supports-color
+
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+      '@opentelemetry/semantic-conventions': 1.43.0
+
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+
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+    dependencies:
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+      '@opentelemetry/resources': 2.10.0(@opentelemetry/api@1.9.1)
+      '@opentelemetry/semantic-conventions': 1.43.0
+
+  '@opentelemetry/semantic-conventions@1.43.0': {}
+
   '@pinojs/redact@0.4.0': {}
 
+  '@protobufjs/aspromise@1.1.2': {}
+
+  '@protobufjs/base64@1.1.2': {}
+
+  '@protobufjs/codegen@2.0.5': {}
+
+  '@protobufjs/eventemitter@1.1.1': {}
+
+  '@protobufjs/fetch@1.1.1':
+    dependencies:
+      '@protobufjs/aspromise': 1.1.2
+
+  '@protobufjs/float@1.0.2': {}
+
+  '@protobufjs/path@1.1.2': {}
+
+  '@protobufjs/pool@1.1.0': {}
+
+  '@protobufjs/utf8@1.1.2': {}
+
   '@rollup/rollup-android-arm-eabi@4.62.4':
     optional: true
 
@@ -2156,6 +2752,14 @@ snapshots:
 
   check-error@2.1.3: {}
 
+  cjs-module-lexer@2.2.0: {}
+
+  cliui@8.0.1:
+    dependencies:
+      string-width: 4.2.3
+      strip-ansi: 6.0.1
+      wrap-ansi: 7.0.0
+
   color-convert@2.0.1:
     dependencies:
       color-name: 1.1.4
@@ -2206,6 +2810,8 @@ snapshots:
       es-errors: 1.3.0
       gopd: 1.2.0
 
+  emoji-regex@8.0.0: {}
+
   end-of-stream@1.4.5:
     dependencies:
       once: 1.4.0
@@ -2216,6 +2822,8 @@ snapshots:
 
   es-module-lexer@1.7.0: {}
 
+  es-module-lexer@2.3.1: {}
+
   es-object-atoms@1.1.2:
     dependencies:
       es-errors: 1.3.0
@@ -2282,6 +2890,8 @@ snapshots:
       '@esbuild/win32-ia32': 0.28.2
       '@esbuild/win32-x64': 0.28.2
 
+  escalade@3.2.0: {}
+
   escape-string-regexp@4.0.0: {}
 
   eslint-scope@7.2.2:
@@ -2464,6 +3074,8 @@ snapshots:
 
   function-bind@1.1.2: {}
 
+  get-caller-file@2.0.5: {}
+
   get-intrinsic@1.3.0:
     dependencies:
       call-bind-apply-helpers: 1.0.2
@@ -2532,6 +3144,12 @@ snapshots:
       parent-module: 1.0.1
       resolve-from: 4.0.0
 
+  import-in-the-middle@3.3.3:
+    dependencies:
+      cjs-module-lexer: 2.2.0
+      es-module-lexer: 2.3.1
+      module-details-from-path: 1.0.4
+
   imurmurhash@0.1.4: {}
 
   inflight@1.0.6:
@@ -2545,6 +3163,8 @@ snapshots:
 
   is-extglob@2.1.1: {}
 
+  is-fullwidth-code-point@3.0.0: {}
+
   is-glob@4.0.3:
     dependencies:
       is-extglob: 2.1.1
@@ -2575,14 +3195,6 @@ snapshots:
     dependencies:
       json-buffer: 3.0.1
 
-  langfuse-core@3.38.20:
-    dependencies:
-      mustache: 4.2.0
-
-  langfuse@3.38.20:
-    dependencies:
-      langfuse-core: 3.38.20
-
   levn@0.4.1:
     dependencies:
       prelude-ls: 1.2.1
@@ -2598,8 +3210,12 @@ snapshots:
     dependencies:
       p-locate: 5.0.0
 
+  lodash.camelcase@4.3.0: {}
+
   lodash.merge@4.6.2: {}
 
+  long@5.3.2: {}
+
   loupe@3.2.1: {}
 
   magic-string@0.30.21:
@@ -2624,6 +3240,8 @@ snapshots:
 
   minimist@1.2.8: {}
 
+  module-details-from-path@1.0.4: {}
+
   ms@2.1.3: {}
 
   mustache@4.2.0: {}
@@ -2750,6 +3368,20 @@ snapshots:
 
   process@0.11.10: {}
 
+  protobufjs@7.6.5:
+    dependencies:
+      '@protobufjs/aspromise': 1.1.2
+      '@protobufjs/base64': 1.1.2
+      '@protobufjs/codegen': 2.0.5
+      '@protobufjs/eventemitter': 1.1.1
+      '@protobufjs/fetch': 1.1.1
+      '@protobufjs/float': 1.0.2
+      '@protobufjs/path': 1.1.2
+      '@protobufjs/pool': 1.1.0
+      '@protobufjs/utf8': 1.1.2
+      '@types/node': 22.20.1
+      long: 5.3.2
+
   pump@3.0.4:
     dependencies:
       end-of-stream: 1.4.5
@@ -2771,8 +3403,17 @@ snapshots:
 
   real-require@0.2.0: {}
 
+  require-directory@2.1.1: {}
+
   require-from-string@2.0.2: {}
 
+  require-in-the-middle@8.0.1(supports-color@7.2.0):
+    dependencies:
+      debug: 4.4.3(supports-color@7.2.0)
+      module-details-from-path: 1.0.4
+    transitivePeerDependencies:
+      - supports-color
+
   resolve-from@4.0.0: {}
 
   ret@0.5.0: {}
@@ -2857,6 +3498,12 @@ snapshots:
 
   std-env@3.10.0: {}
 
+  string-width@4.2.3:
+    dependencies:
+      emoji-regex: 8.0.0
+      is-fullwidth-code-point: 3.0.0
+      strip-ansi: 6.0.1
+
   string_decoder@1.3.0:
     dependencies:
       safe-buffer: 5.2.1
@@ -3006,8 +3653,30 @@ snapshots:
 
   word-wrap@1.2.5: {}
 
+  wrap-ansi@7.0.0:
+    dependencies:
+      ansi-styles: 4.3.0
+      string-width: 4.2.3
+      strip-ansi: 6.0.1
+
   wrappy@1.0.2: {}
 
+  y18n@5.0.8: {}
+
+  yaml@2.9.0: {}
+
+  yargs-parser@21.1.1: {}
+
+  yargs@17.7.3:
+    dependencies:
+      cliui: 8.0.1
+      escalade: 3.2.0
+      get-caller-file: 2.0.5
+      require-directory: 2.1.1
+      string-width: 4.2.3
+      y18n: 5.0.8
+      yargs-parser: 21.1.1
+
   yocto-queue@0.1.0: {}
 
   zod@3.25.76: {}

pnpm-workspace.yaml

@@ -0,0 +1,2 @@
+allowBuilds:
+  protobufjs: true

src/app/controllers/RecommendationsController.ts

@@ -40,7 +40,7 @@ export class RecommendationsController extends Controller {
           : this.config.LLM_ENABLED;
 
     try {
-      const recommendations = await this.pipeline.runAsync({ count, useLlm });
+      const recommendations = await this.pipeline.runAsync({ count, useLlm }, { trigger: 'api-list' });
       reply.send(recommendations);
     } catch (err) {
       reply.code(500).send({ error: String(err) });
@@ -49,10 +49,10 @@ export class RecommendationsController extends Controller {
 
   private async handleTrigger(_request: FastifyRequest, reply: FastifyReply) {
     try {
-      const recommendations = await this.pipeline.runAsync({
+      const recommendations = await this.pipeline.runAsync(
-        count: this.config.RECOMMEND_COUNT,
+        { count: this.config.RECOMMEND_COUNT, useLlm: this.config.LLM_ENABLED },
-        useLlm: this.config.LLM_ENABLED,
+        { trigger: 'api-trigger' }
-      });
+      );
       if (this.config.RADARR_ENABLED) {
         await this.pipeline.autoRequest(recommendations);
       }
@@ -73,7 +73,7 @@ export class RecommendationsController extends Controller {
       return;
     }
     try {
-      const recommendations = await this.pipeline.searchAsync(query, this.config.RECOMMEND_COUNT);
+      const recommendations = await this.pipeline.searchAsync(query, this.config.RECOMMEND_COUNT, 'api-search');
       reply.send(recommendations);
     } catch (err) {
       reply.code(500).send({ error: String(err) });

src/app/cron.ts

@@ -9,10 +9,10 @@ export function scheduleCron(config: AppConfig, pipeline: RecommendationPipeline
   cron.schedule(config.CRON_SCHEDULE, async () => {
     logger.info('Cron: running recommendation pipeline');
     try {
-      const recommendations = await pipeline.runAsync({
+      const recommendations = await pipeline.runAsync(
-        count: config.RECOMMEND_COUNT,
+        { count: config.RECOMMEND_COUNT, useLlm: config.LLM_ENABLED },
-        useLlm: config.LLM_ENABLED,
+        { trigger: 'cron' }
-      });
+      );
       if (config.RADARR_ENABLED) {
         await pipeline.autoRequest(recommendations);
       }

src/app/index.ts

@@ -32,10 +32,19 @@ async function main(): Promise<void> {
   const promptService = new PromptService(promptGateway, config.LANGFUSE_PROMPT_CACHE_ENABLED);
   const llmClient = new LlmClient({ baseUrl: config.LLM_BASE_URL, apiKey: config.LLM_API_KEY });
 
-  const jellyfin = new JellyfinClient(config.JELLYFIN_URL, config.JELLYFIN_API_KEY, config.JELLYFIN_USER_ID);
+  const jellyfin = new JellyfinClient(
+    config.JELLYFIN_URL,
+    config.JELLYFIN_API_KEY,
+    config.JELLYFIN_USER_ID
+  );
   const tmdb = new TmdbClient(config.TMDB_API_KEY);
   const radarr = config.RADARR_ENABLED
-    ? new RadarrClient(config.RADARR_URL, config.RADARR_API_KEY, config.RADARR_QUALITY_PROFILE_ID, config.RADARR_ROOT_FOLDER)
+    ? new RadarrClient(
+        config.RADARR_URL,
+        config.RADARR_API_KEY,
+        config.RADARR_QUALITY_PROFILE_ID,
+        config.RADARR_ROOT_FOLDER
+      )
     : undefined;
 
   const recommenderTool = new MovieRecommenderTool(promptService, llmClient, config.LLM_MODEL);
@@ -58,12 +67,19 @@ async function main(): Promise<void> {
       radarrEnabled: config.RADARR_ENABLED,
       cronEnabled: config.CRON_ENABLED,
       apiEnabled: config.API_ENABLED,
+      langfuse: config.LANGFUSE_BASE_URL,
     },
     'sugarr starting'
   );
 
   scheduleCron(config, pipeline, logger);
 
+  const shutdown = () => {
+    tracer.shutdown().catch((err) => logger.error({ err }, 'Error shutting down Langfuse tracer'));
+  };
+  process.on('SIGTERM', shutdown);
+  process.on('SIGINT', shutdown);
+
   if (config.API_ENABLED) {
     const app = buildServer({
       secretKey: config.SECRET_KEY,

src/app/pipelines/RecommendationPipeline.ts

@@ -1,3 +1,4 @@
+import { randomUUID } from 'node:crypto';
 import { LlmPipeline } from '../../core/llm/LlmPipeline';
 import type { RunContext } from '../../core/llm/RunContext';
 import type { JellyfinClient } from '../clients/jellyfin/JellyfinClient';
@@ -114,8 +115,16 @@ export class RecommendationPipeline extends LlmPipeline<RecommendationRequest, R
     }
   }
 
-  async searchAsync(query: string, count: number): Promise<Recommendation[]> {
+  async searchAsync(query: string, count: number, trigger?: string): Promise<Recommendation[]> {
-    const trace = this.tracer.startTrace(`${this.name}-search`);
+    const sessionId = randomUUID();
+    return this.tracer.runWithSession(
+      { sessionId, tags: trigger ? [trigger] : undefined },
+      () => this.runSearch(query, count, trigger)
+    );
+  }
+
+  private async runSearch(query: string, count: number, trigger?: string): Promise<Recommendation[]> {
+    const trace = this.tracer.startTrace(`${this.name}-search`, { trigger });
     const ctx: RunContext = { trace, logger: this.logger };
     try {
       let library: Movie[] = [];

src/core/langfuse/LangfusePromptGateway.ts

@@ -1,11 +1,11 @@
-import { Langfuse } from 'langfuse';
+import { LangfuseClient } from '@langfuse/client';
 import type { PromptFetcher, RawPrompt } from './PromptGateway';
 
 export class LangfusePromptGateway implements PromptFetcher {
-  private readonly client: Langfuse;
+  private readonly client: LangfuseClient;
 
   constructor(opts: { publicKey: string; secretKey: string; baseUrl: string }) {
-    this.client = new Langfuse({
+    this.client = new LangfuseClient({
       publicKey: opts.publicKey,
       secretKey: opts.secretKey,
       baseUrl: opts.baseUrl,
@@ -13,7 +13,7 @@ export class LangfusePromptGateway implements PromptFetcher {
   }
 
   async fetch(promptName: string): Promise<RawPrompt> {
-    const prompt = await this.client.getPrompt(promptName, undefined, { type: 'chat', cacheTtlSeconds: 0 });
+    const prompt = await this.client.prompt.get(promptName, { type: 'chat' });
     return {
       name: prompt.name,
       version: prompt.version,

src/core/langfuse/LangfuseTracer.ts

@@ -1,33 +1,82 @@
-import { Langfuse } from 'langfuse';
+import { NodeSDK } from '@opentelemetry/sdk-node';
+import { LangfuseSpanProcessor } from '@langfuse/otel';
+import { propagateAttributes, startObservation } from '@langfuse/tracing';
+import type { LangfuseGeneration, LangfuseSpan } from '@langfuse/tracing';
 import { Tracer } from '../llm/Tracer';
-import type { GenerationHandle, GenerationInput, GenerationOutput, TraceHandle } from '../llm/Tracer';
+import type {
+  GenerationHandle,
+  GenerationInput,
+  GenerationOutput,
+  SessionInfo,
+  TraceHandle,
+} from '../llm/Tracer';
+
+interface OpenAiUsageDetails {
+  prompt_tokens?: number;
+  completion_tokens?: number;
+  total_tokens?: number;
+  prompt_tokens_details?: { cached_tokens: number };
+}
+
+/**
+ * Langfuse recognizes usage in either a flat generic schema (input/output/
+ * cache_read_input_tokens/...) or OpenAI's native nested schema
+ * (prompt_tokens/completion_tokens/prompt_tokens_details.cached_tokens/...)
+ * - but NOT a mix of the two ("do not mix formats" per Langfuse's docs).
+ * Mixing them previously caused the whole generation.update() payload
+ * (including output) to land wrong, so this stays entirely within the
+ * OpenAI-native schema.
+ *
+ * The installed @langfuse/tracing SDK's usageDetails type is
+ * `Record<string, number> | OpenAiUsage` (a 3-field camelCase shape with
+ * no _details nesting) even though the wire schema (@langfuse/core's
+ * OpenAiCompletionUsageSchema) supports this nested form - a gap in the
+ * SDK's public types, not a real runtime restriction, hence the cast.
+ */
+function toUsageDetails(usage: GenerationOutput['usage']): OpenAiUsageDetails | undefined {
+  if (!usage) return undefined;
+  const details: OpenAiUsageDetails = {};
+  if (usage.promptTokens !== undefined) details.prompt_tokens = usage.promptTokens;
+  if (usage.completionTokens !== undefined) details.completion_tokens = usage.completionTokens;
+  if (usage.totalTokens !== undefined) details.total_tokens = usage.totalTokens;
+  if (usage.cachedTokens !== undefined) details.prompt_tokens_details = { cached_tokens: usage.cachedTokens };
+  return Object.keys(details).length > 0 ? details : undefined;
+}
 
 export class LangfuseTracer extends Tracer {
-  private readonly client: Langfuse;
+  private readonly processor: LangfuseSpanProcessor;
+  private readonly sdk: NodeSDK;
 
   constructor(opts: { publicKey: string; secretKey: string; baseUrl: string }) {
     super();
-    this.client = new Langfuse({
+    this.processor = new LangfuseSpanProcessor({
       publicKey: opts.publicKey,
       secretKey: opts.secretKey,
       baseUrl: opts.baseUrl,
     });
+    this.sdk = new NodeSDK({ spanProcessors: [this.processor] });
+    this.sdk.start();
   }
 
   startTrace(name: string, metadata?: Record<string, unknown>): TraceHandle {
-    const trace = this.client.trace({ name, metadata });
+    const span: LangfuseSpan = startObservation(name, { metadata });
     return {
-      id: trace.id,
+      id: span.traceId,
       startGeneration(input: GenerationInput): GenerationHandle {
-        const generation = trace.generation({
+        const generation: LangfuseGeneration = span.startObservation(
-          name: input.name,
+          input.name,
-          model: input.model,
+          { model: input.model, input: input.input, metadata: input.metadata },
-          input: input.input,
+          { asType: 'generation' }
-          metadata: input.metadata,
+        );
-        });
         return {
           end(output: GenerationOutput) {
-            generation.end({ output: output.output, usage: output.usage, metadata: output.metadata });
+            generation.update({
+              output: output.output,
+              usageDetails: toUsageDetails(output.usage) as Record<string, number> | undefined,
+              costDetails: output.usage?.cost !== undefined ? { total: output.usage.cost } : undefined,
+              metadata: output.metadata,
+            });
+            generation.end();
           },
         };
       },
@@ -35,6 +84,14 @@ export class LangfuseTracer extends Tracer {
   }
 
   async flush(): Promise<void> {
-    await this.client.flushAsync();
+    await this.processor.forceFlush();
+  }
+
+  runWithSession<T>(session: SessionInfo, fn: () => Promise<T>): Promise<T> {
+    return propagateAttributes({ sessionId: session.sessionId, tags: session.tags }, fn);
+  }
+
+  async shutdown(): Promise<void> {
+    await this.sdk.shutdown();
   }
 }

src/core/llm/LlmClient.ts

@@ -1,4 +1,6 @@
 import OpenAI from 'openai';
+import type { ChatCompletionCreateParamsNonStreaming } from 'openai/resources/chat/completions';
+import type { CompletionUsage } from 'openai/resources/completions';
 
 export interface ChatMessage {
   role: 'system' | 'user' | 'assistant';
@@ -13,9 +15,28 @@ export interface ChatOptions {
 
 export interface ChatResult {
   content: string;
-  usage?: { promptTokens?: number; completionTokens?: number; totalTokens?: number };
+  usage?: {
+    promptTokens?: number;
+    completionTokens?: number;
+    totalTokens?: number;
+    cachedTokens?: number;
+    cost?: number;
+  };
 }
 
+/**
+ * OpenRouter-specific request/response extensions, not part of OpenAI's
+ * official schema. `usage.include` asks OpenRouter to report its own real
+ * per-request cost (requires Usage Accounting enabled on the OpenRouter
+ * account); other OpenAI-compatible providers generally ignore unknown
+ * top-level request fields. See:
+ * https://langfuse.com/integrations/gateways/openrouter
+ */
+type OpenRouterChatCompletionCreateParams = ChatCompletionCreateParamsNonStreaming & {
+  usage?: { include: boolean };
+};
+type OpenRouterCompletionUsage = CompletionUsage & { cost?: number };
+
 export class LlmClient {
   private readonly client: OpenAI;
 
@@ -29,20 +50,25 @@ export class LlmClient {
       temperature: options.temperature,
       max_tokens: options.maxTokens,
       messages,
-    });
+      usage: { include: true },
+    } as OpenRouterChatCompletionCreateParams);
 
     const choice = response.choices[0];
     if (!choice) {
       throw new Error('LLM returned no choices');
     }
 
+    const usage = response.usage as OpenRouterCompletionUsage | undefined;
+
     return {
       content: choice.message?.content ?? '',
-      usage: response.usage
+      usage: usage
         ? {
-            promptTokens: response.usage.prompt_tokens,
+            promptTokens: usage.prompt_tokens,
-            completionTokens: response.usage.completion_tokens,
+            completionTokens: usage.completion_tokens,
-            totalTokens: response.usage.total_tokens,
+            totalTokens: usage.total_tokens,
+            cachedTokens: usage.prompt_tokens_details?.cached_tokens,
+            cost: usage.cost,
           }
         : undefined,
     };

src/core/llm/LlmPipeline.ts

@@ -1,8 +1,14 @@
+import { randomUUID } from 'node:crypto';
 import type { Logger } from '../logging/logger';
 import type { LlmTool } from './LlmTool';
 import type { RunContext } from './RunContext';
 import type { Tracer } from './Tracer';
 
+export interface PipelineRunOptions {
+  /** What triggered this run (e.g. "cron", "api-list") — attached as a Langfuse tag. */
+  trigger?: string;
+}
+
 export abstract class LlmPipeline<TInput, TOutput> {
   constructor(
     protected readonly tracer: Tracer,
@@ -12,8 +18,12 @@ export abstract class LlmPipeline<TInput, TOutput> {
   protected abstract readonly name: string;
   protected abstract runInternal(input: TInput, ctx: RunContext): Promise<TOutput>;
 
-  async runAsync(input: TInput): Promise<TOutput> {
+  async runAsync(input: TInput, options: PipelineRunOptions = {}): Promise<TOutput> {
-    const trace = this.tracer.startTrace(this.name);
+    const sessionId = randomUUID();
+    return this.tracer.runWithSession(
+      { sessionId, tags: options.trigger ? [options.trigger] : undefined },
+      async () => {
+        const trace = this.tracer.startTrace(this.name, { trigger: options.trigger });
         const ctx: RunContext = { trace, logger: this.logger };
         try {
           return await this.runInternal(input, ctx);
@@ -21,6 +31,8 @@ export abstract class LlmPipeline<TInput, TOutput> {
           await this.tracer.flush();
         }
       }
+    );
+  }
 
   protected runTool<TToolInput, TToolOutput>(
     tool: LlmTool<TToolInput, TToolOutput>,

src/core/llm/Tracer.ts

@@ -7,7 +7,13 @@ export interface GenerationInput {
 
 export interface GenerationOutput {
   output: unknown;
-  usage?: { promptTokens?: number; completionTokens?: number; totalTokens?: number };
+  usage?: {
+    promptTokens?: number;
+    completionTokens?: number;
+    totalTokens?: number;
+    cachedTokens?: number;
+    cost?: number;
+  };
   metadata?: Record<string, unknown>;
 }
 
@@ -20,7 +26,18 @@ export interface TraceHandle {
   startGeneration(input: GenerationInput): GenerationHandle;
 }
 
+export interface SessionInfo {
+  sessionId: string;
+  tags?: string[];
+}
+
 export abstract class Tracer {
   abstract startTrace(name: string, metadata?: Record<string, unknown>): TraceHandle;
   abstract flush(): Promise<void>;
+
+  /**
+   * Runs `fn` with `session` (sessionId/tags) attached to every trace/span
+   * created inside it, so multiple runs can be grouped in the Langfuse UI.
+   */
+  abstract runWithSession<T>(session: SessionInfo, fn: () => Promise<T>): Promise<T>;
 }

test/app/controllers/RecommendationsController.test.ts

@@ -17,7 +17,7 @@ describe('RecommendationsController', () => {
 
     const res = await app.inject({ method: 'GET', url: '/recommendations' });
     expect(res.statusCode).toBe(200);
-    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true });
+    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
   });
 
   it('GET /recommendations?count= and force_llm/force_tmdb override config', async () => {
@@ -25,7 +25,7 @@ describe('RecommendationsController', () => {
     const app = makeApp({ RECOMMEND_COUNT: 10, LLM_ENABLED: false }, { runAsync } as unknown as RecommendationPipeline);
 
     await app.inject({ method: 'GET', url: '/recommendations?count=3&force_llm=true' });
-    expect(runAsync).toHaveBeenCalledWith({ count: 3, useLlm: true });
+    expect(runAsync).toHaveBeenCalledWith({ count: 3, useLlm: true }, { trigger: 'api-list' });
   });
 
   it('falls back to the configured count for a malformed or non-positive count query param', async () => {
@@ -33,13 +33,13 @@ describe('RecommendationsController', () => {
     const app = makeApp({ RECOMMEND_COUNT: 10, LLM_ENABLED: true }, { runAsync } as unknown as RecommendationPipeline);
 
     await app.inject({ method: 'GET', url: '/recommendations?count=abc' });
-    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true });
+    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
 
     await app.inject({ method: 'GET', url: '/recommendations?count=-5' });
-    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true });
+    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
 
     await app.inject({ method: 'GET', url: '/recommendations?count=0' });
-    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true });
+    expect(runAsync).toHaveBeenCalledWith({ count: 10, useLlm: true }, { trigger: 'api-list' });
   });
 
   it('POST /recommendations/trigger auto-requests via Radarr when enabled', async () => {
@@ -75,6 +75,6 @@ describe('RecommendationsController', () => {
       payload: { query: 'sci-fi like Blade Runner' },
     });
     expect(res.statusCode).toBe(200);
-    expect(searchAsync).toHaveBeenCalledWith('sci-fi like Blade Runner', 10);
+    expect(searchAsync).toHaveBeenCalledWith('sci-fi like Blade Runner', 10, 'api-search');
   });
 });

test/app/pipelines/RecommendationPipeline.test.ts

@@ -25,6 +25,7 @@ function makeTracer() {
   const tracer = {
     startTrace: vi.fn().mockReturnValue(trace),
     flush: vi.fn().mockResolvedValue(undefined),
+    runWithSession: vi.fn().mockImplementation((_session: unknown, fn: () => unknown) => fn()),
   } as unknown as Tracer;
   return tracer;
 }

test/core/langfuse/LangfusePromptGateway.test.ts

@@ -1,20 +1,22 @@
 import { describe, expect, it, vi } from 'vitest';
 
 const compile = vi.fn().mockReturnValue([{ role: 'user', content: 'hi' }]);
-const getPrompt = vi.fn().mockResolvedValue({ name: 'greet', version: 2, config: { model: 'llama3' }, compile });
+const promptGet = vi
+  .fn()
+  .mockResolvedValue({ name: 'greet', version: 2, config: { model: 'llama3' }, compile });
 
-vi.mock('langfuse', () => ({
+vi.mock('@langfuse/client', () => ({
-  Langfuse: vi.fn().mockImplementation(() => ({ getPrompt })),
+  LangfuseClient: vi.fn().mockImplementation(() => ({ prompt: { get: promptGet } })),
 }));
 
 import { LangfusePromptGateway } from '../../../src/core/langfuse/LangfusePromptGateway';
 
 describe('LangfusePromptGateway', () => {
-  it('fetches a chat prompt from Langfuse bypassing the SDK cache, and adapts it to RawPrompt', async () => {
+  it('fetches a chat prompt from Langfuse and adapts it to RawPrompt', async () => {
     const gateway = new LangfusePromptGateway({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
     const raw = await gateway.fetch('greet');
 
-    expect(getPrompt).toHaveBeenCalledWith('greet', undefined, { type: 'chat', cacheTtlSeconds: 0 });
+    expect(promptGet).toHaveBeenCalledWith('greet', { type: 'chat' });
     expect(raw.name).toBe('greet');
     expect(raw.version).toBe(2);
     expect(raw.config).toEqual({ model: 'llama3' });

test/core/langfuse/LangfuseTracer.test.ts

@@ -1,42 +1,148 @@
 import { describe, expect, it, vi } from 'vitest';
 
+const {
+  forceFlush,
+  shutdown,
+  sdkStart,
+  sdkShutdown,
+  generationUpdate,
+  generationEnd,
+  childStartObservation,
+  startObservation,
+  propagateAttributes,
+} = vi.hoisted(() => {
+  const generationUpdate = vi.fn();
   const generationEnd = vi.fn();
-const generation = vi.fn().mockReturnValue({ end: generationEnd });
+  const generation = { update: generationUpdate, end: generationEnd };
-const trace = vi.fn().mockReturnValue({ id: 'lf-trace-1', generation });
+  const childStartObservation = vi.fn().mockReturnValue(generation);
-const flushAsync = vi.fn().mockResolvedValue(undefined);
+  const rootSpan = { traceId: 'lf-trace-1', startObservation: childStartObservation };
+  return {
+    forceFlush: vi.fn().mockResolvedValue(undefined),
+    shutdown: vi.fn().mockResolvedValue(undefined),
+    sdkStart: vi.fn(),
+    sdkShutdown: vi.fn().mockResolvedValue(undefined),
+    generationUpdate,
+    generationEnd,
+    childStartObservation,
+    startObservation: vi.fn().mockReturnValue(rootSpan),
+    propagateAttributes: vi.fn().mockImplementation((_attrs: unknown, fn: () => unknown) => fn()),
+  };
+});
 
-vi.mock('langfuse', () => ({
+vi.mock('@langfuse/otel', () => ({
-  Langfuse: vi.fn().mockImplementation(() => ({ trace, flushAsync })),
+  LangfuseSpanProcessor: vi.fn().mockImplementation(() => ({ forceFlush, shutdown })),
 }));
 
+vi.mock('@opentelemetry/sdk-node', () => ({
+  NodeSDK: vi.fn().mockImplementation(() => ({ start: sdkStart, shutdown: sdkShutdown })),
+}));
+
+vi.mock('@langfuse/tracing', () => ({ startObservation, propagateAttributes }));
+
 import { LangfuseTracer } from '../../../src/core/langfuse/LangfuseTracer';
 
 describe('LangfuseTracer', () => {
-  it('starts a Langfuse trace and exposes its id', () => {
+  it('starts the OTEL SDK with a LangfuseSpanProcessor on construction', () => {
+    new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
+    expect(sdkStart).toHaveBeenCalled();
+  });
+
+  it('starts a root observation and exposes its trace id', () => {
     const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
     const handle = tracer.startTrace('my-pipeline', { foo: 'bar' });
 
-    expect(trace).toHaveBeenCalledWith({ name: 'my-pipeline', metadata: { foo: 'bar' } });
+    expect(startObservation).toHaveBeenCalledWith('my-pipeline', { metadata: { foo: 'bar' } });
     expect(handle.id).toBe('lf-trace-1');
   });
 
-  it('startGeneration creates a Langfuse generation and end() forwards output/usage', () => {
+  it('startGeneration creates a child generation observation and end() forwards output/usage', () => {
     const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
     const handle = tracer.startTrace('my-pipeline');
     const gen = handle.startGeneration({ name: 'step-1', model: 'llama3', input: ['hi'] });
-    gen.end({ output: 'done', usage: { totalTokens: 5 } });
+    gen.end({
+      output: 'done',
+      usage: { promptTokens: 10, completionTokens: 5, totalTokens: 15 },
+    });
 
-    expect(generation).toHaveBeenCalledWith(
+    expect(childStartObservation).toHaveBeenCalledWith(
-      expect.objectContaining({ name: 'step-1', model: 'llama3', input: ['hi'] })
+      'step-1',
+      expect.objectContaining({ model: 'llama3', input: ['hi'] }),
+      { asType: 'generation' }
     );
-    expect(generationEnd).toHaveBeenCalledWith(
+    expect(generationUpdate).toHaveBeenCalledWith(
-      expect.objectContaining({ output: 'done', usage: { totalTokens: 5 } })
+      expect.objectContaining({
+        output: 'done',
+        usageDetails: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 },
+        costDetails: undefined,
+      })
+    );
+    expect(generationEnd).toHaveBeenCalledTimes(1);
+  });
+
+  it('forwards an explicit cost (e.g. from OpenRouter) as costDetails.total instead of relying on price-list lookup', () => {
+    const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
+    const handle = tracer.startTrace('my-pipeline');
+    const gen = handle.startGeneration({ name: 'step-1', model: 'openrouter/auto', input: ['hi'] });
+    gen.end({
+      output: 'done',
+      usage: { promptTokens: 10, completionTokens: 5, totalTokens: 15, cost: 0.00042 },
+    });
+
+    expect(generationUpdate).toHaveBeenCalledWith(
+      expect.objectContaining({ costDetails: { total: 0.00042 } })
     );
   });
 
-  it('flush() calls flushAsync on the underlying client', async () => {
+  it('maps cachedTokens to the OpenAI-native nested prompt_tokens_details.cached_tokens, not a mixed flat key', () => {
+    const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
+    const handle = tracer.startTrace('my-pipeline');
+    const gen = handle.startGeneration({ name: 'step-1', model: 'gpt-4o-mini', input: ['hi'] });
+    gen.end({
+      output: 'done',
+      usage: { promptTokens: 100, completionTokens: 20, totalTokens: 120, cachedTokens: 80 },
+    });
+
+    expect(generationUpdate).toHaveBeenCalledWith(
+      expect.objectContaining({
+        usageDetails: {
+          prompt_tokens: 100,
+          completion_tokens: 20,
+          total_tokens: 120,
+          prompt_tokens_details: { cached_tokens: 80 },
+        },
+      })
+    );
+  });
+
+  it('omits usageDetails entirely when no usage is reported', () => {
+    const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
+    const handle = tracer.startTrace('my-pipeline');
+    const gen = handle.startGeneration({ name: 'step-1', model: 'llama3', input: ['hi'] });
+    gen.end({ output: 'done' });
+
+    expect(generationUpdate).toHaveBeenCalledWith(expect.objectContaining({ usageDetails: undefined }));
+  });
+
+  it('flush() force-flushes the span processor without shutting down the SDK', async () => {
     const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
     await tracer.flush();
-    expect(flushAsync).toHaveBeenCalledTimes(1);
+    expect(forceFlush).toHaveBeenCalledTimes(1);
+    expect(sdkShutdown).not.toHaveBeenCalled();
+  });
+
+  it('shutdown() shuts down the underlying OTEL SDK', async () => {
+    const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
+    await tracer.shutdown();
+    expect(sdkShutdown).toHaveBeenCalledTimes(1);
+  });
+
+  it('runWithSession propagates sessionId/tags to the callback via propagateAttributes and returns its result', async () => {
+    const tracer = new LangfuseTracer({ publicKey: 'pk', secretKey: 'sk', baseUrl: 'http://lf' });
+    const fn = vi.fn().mockResolvedValue('done');
+
+    const result = await tracer.runWithSession({ sessionId: 'session-1', tags: ['cron'] }, fn);
+
+    expect(propagateAttributes).toHaveBeenCalledWith({ sessionId: 'session-1', tags: ['cron'] }, fn);
+    expect(result).toBe('done');
   });
 });

test/core/llm/LlmClient.test.ts

@@ -29,6 +29,46 @@ describe('LlmClient', () => {
       temperature: 0.7,
       max_tokens: undefined,
       messages: [{ role: 'user', content: 'hi' }],
+      usage: { include: true },
+    });
+  });
+
+  it('extracts OpenRouter cost from the response usage when present', async () => {
+    createMock.mockResolvedValue({
+      choices: [{ message: { content: 'hello' } }],
+      usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15, cost: 0.00042 },
+    });
+
+    const client = new LlmClient({ baseUrl: 'https://openrouter.ai/api/v1', apiKey: 'key' });
+    const result = await client.chat([{ role: 'user', content: 'hi' }], { model: 'openrouter/auto' });
+
+    expect(result.usage).toEqual({
+      promptTokens: 10,
+      completionTokens: 5,
+      totalTokens: 15,
+      cost: 0.00042,
+    });
+  });
+
+  it('extracts cachedTokens from prompt_tokens_details when present', async () => {
+    createMock.mockResolvedValue({
+      choices: [{ message: { content: 'hello' } }],
+      usage: {
+        prompt_tokens: 100,
+        completion_tokens: 20,
+        total_tokens: 120,
+        prompt_tokens_details: { cached_tokens: 80 },
+      },
+    });
+
+    const client = new LlmClient({ baseUrl: 'http://localhost:11434/v1' });
+    const result = await client.chat([{ role: 'user', content: 'hi' }], { model: 'gpt-4o-mini' });
+
+    expect(result.usage).toEqual({
+      promptTokens: 100,
+      completionTokens: 20,
+      totalTokens: 120,
+      cachedTokens: 80,
     });
   });
 

test/core/llm/LlmPipeline.test.ts

@@ -23,24 +23,44 @@ class ThrowingPipeline extends LlmPipeline<void, void> {
 function makeTracer(trace: TraceHandle) {
   const flush = vi.fn().mockResolvedValue(undefined);
   const startTrace = vi.fn().mockReturnValue(trace);
-  const tracer = { startTrace, flush } as unknown as Tracer;
+  const runWithSession = vi.fn().mockImplementation((_session: unknown, fn: () => unknown) => fn());
-  return { tracer, startTrace, flush };
+  const tracer = { startTrace, flush, runWithSession } as unknown as Tracer;
+  return { tracer, startTrace, flush, runWithSession };
 }
 
 describe('LlmPipeline', () => {
-  it('opens one trace, runs runInternal with it, and flushes afterward', async () => {
+  it('runs the whole call inside a session scoped to a fresh session id, opens one trace, runs runInternal, and flushes afterward', async () => {
     const trace = { id: 'trace-1', startGeneration: vi.fn() } as unknown as TraceHandle;
-    const { tracer, startTrace, flush } = makeTracer(trace);
+    const { tracer, startTrace, flush, runWithSession } = makeTracer(trace);
     const logger = {} as unknown as Logger;
 
     const pipeline = new SumPipeline(tracer, logger);
     const result = await pipeline.runAsync([1, 2, 3]);
 
     expect(result).toBe(6);
-    expect(startTrace).toHaveBeenCalledWith('sum-pipeline');
+    expect(runWithSession).toHaveBeenCalledWith(
+      expect.objectContaining({ sessionId: expect.any(String), tags: undefined }),
+      expect.any(Function)
+    );
+    expect(startTrace).toHaveBeenCalledWith('sum-pipeline', { trigger: undefined });
     expect(flush).toHaveBeenCalledTimes(1);
   });
 
+  it('tags the session with the given trigger', async () => {
+    const trace = { id: 'trace-1', startGeneration: vi.fn() } as unknown as TraceHandle;
+    const { tracer, startTrace, runWithSession } = makeTracer(trace);
+    const logger = {} as unknown as Logger;
+
+    const pipeline = new SumPipeline(tracer, logger);
+    await pipeline.runAsync([1, 2, 3], { trigger: 'cron' });
+
+    expect(runWithSession).toHaveBeenCalledWith(
+      expect.objectContaining({ tags: ['cron'] }),
+      expect.any(Function)
+    );
+    expect(startTrace).toHaveBeenCalledWith('sum-pipeline', { trigger: 'cron' });
+  });
+
   it('still flushes the trace when runInternal throws', async () => {
     const trace = { id: 'trace-2', startGeneration: vi.fn() } as unknown as TraceHandle;
     const { tracer, flush } = makeTracer(trace);