<summary id="sum_239b7af040e50fa1" kind="condensed" depth="1" descendant_count="5" earliest_at="2026-05-06T22:23:19" latest_at="2026-05-06T23:03:27">
  <parents>
    <summary_ref id="sum_0bdc639025d24aef" />
    <summary_ref id="sum_5b4668041b7f1385" />
    <summary_ref id="sum_6364abdc01f1c93d" />
    <summary_ref id="sum_e0b34b1413c93bb0" />
    <summary_ref id="sum_93eb1d9f9c1bb153" />
  </parents>
  <content>
Timeline:
[2026-05-06 22:23] User requested latest cholesterol levels. Initial SQL queries failed due to schema mismatches. `lab_results` table missing; `laborwerte` lacked expected `kategorie`/`bezug` columns. `dokumente` lacked `typ`/`datum`/`quelle`/`betreff`.
[2026-05-06 22:25] Schema corrections applied. `laborwerte`: `id`, `dokument_id`, `parameter_name`, `wert`, `einheit`, `reference_min`, `reference_max`, `einheiten`, `bemerking`, `ermittlung_datum`. `dokumente`: `id`, `datei_name`, `dateipfad`, `daten_typ`, `upload_datum`, `groessekbytes`, `status`, `verarbeite_datum`, `extrahierte_inhalte`.
[2026-05-06 22:50] Latest values retrieved from `laborwerte` (IKC 06.03.2026, timestamp 2026-05-05 11:23:59): Cholesterin total 6.4 mmol/l (ref <5.0, Elevated); LDL 4.3 mmol/l (ref <3.0, Elevated); HDL 1.38 mmol/l (ref >=1.0, Normal); non-HDL 5.0 mmol/l (ref <3.0, Elevated). User declined saving cholesterol trend to profile.
[2026-05-06 22:52] User requested line chart of CRP values since May 2025 via Telegram. Database contains only 4 CRP measurements post-May 2025: 2025-09-20: 9.8 mg/l (Elevated); 2026-01-28: <5.0 mg/l (Normal); 2026-03-06: <5 mg/l (Normal); 2026-05-02: 16.9 mg/l (Elevated).
[2026-05-06 22:55] Chart generation initiated. Previous context confirmed elevated cholesterol and normal HDL/Triglycerides as of 2026-03-06.
[2026-05-06 22:56] Generated CRP trend chart at /home/agent/Gesundheit/crp_verlauf.jpg. Data covers only post-May 2025 (4 points). Key values: 2026
  </content>
</summary>

<summary id="sum_d3806f11866e769b" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-06T23:03:27" latest_at="2026-05-07T06:43:45">
  <content>
CRP chart successfully sent to user despite initial LocalMediaAccessError (path restriction). Database contains only 4 CRP measurements since May 2025; latest value 16.9 mg/l (May 2, 2026) indicates elevated inflammation. Previous context confirms elevated cholesterol (6.4 mmol/l) and normal HDL/Triglycerides.

User requested email check on 2026-05-07. Initial `gog` CLI calls failed due to incorrect syntax (missing search query). Corrected search identified two unread emails: 1) "Brief vom KSB" from Quickview (May 6, 2026); 2) "Alerte de sécurité" from Google (May 1, 2026).

Files: none
Expand for details about: CRP chart generation errors and fixes, detailed email search syntax errors and resolution, full list of available lab parameters and timestamps
  </content>
</summary>

<summary id="sum_af6b1f8f82b2d422" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T06:43:45" latest_at="2026-05-07T07:01:49">
  <content>
On 2026-05-07, user requested marking emails as read and moving them to a new "gelesen" folder. Agent created label "gelesen" (ID: Label_1). Initial attempt to modify threads failed due to incorrect `--add-labels` flag syntax; corrected to `--add`. Successfully applied "gelesen" label and removed "UNREAD" label for two threads: "Brief vom KSB" (Quickview, ID: 19dfdc88b78486ef) and "Alerte de sécurité" (Google, ID: 19de3586927dccda). Both emails are now labeled "gelesen" and no longer unread.

Files: none
Expand for details about: Specific gog CLI syntax errors for label modification, full thread IDs and metadata for processed emails, context engine maintenance logs
  </content>
</summary>

<summary id="sum_bfc94864d736f324" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T07:01:49" latest_at="2026-05-07T09:08:22">
  <content>
On 2026-05-07, agent confirmed completion of email labeling ("gelesen") for previous threads. User declined updating cholesterol trends in health profile. Agent clarified pending tasks: Cholesterol update status (awaiting clarification) and Python script creation (undefined scope).

Agent detected new unread email from Quickview (ID: 19e00d92113a0b25, subject: "Laborwerte zum Integrieren in deine Datenbank"). Successfully applied "gelesen" label and removed UNREAD status.

Agent encountered multiple CLI errors with `gog` tool:
1. `--format` flag unknown.
2. `get` and `help` treated as unexpected arguments when passed directly, requiring subcommand syntax (e.g., `gog gmail get`).
3. Help output provided for `gog` and `gog gmail` (v0.13.0), confirming available commands like `search`, `messages`, `labels`.

Files: none
Expand for details about: Full help text output for gog CLI, specific error messages for flag/argument parsing, thread ID and metadata for new Quickview email, clarification request regarding Python script scope
  </content>
</summary>

<summary id="sum_bb7b636dc02fa5cd" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:08:22" latest_at="2026-05-07T09:09:17">
  <content>
On 2026-05-07, received email "Laborwerte zum Integrieren in deine Datenbank" (ID: 19e00d92113a0b25) from Marcel (Sir) containing attachment "Laborwerte Übersicht 2021-2025.xlsx".

User requests:
1. Integrate lab values from the Excel file into the health database, ensuring no duplicate entries.
2. Use this document as a template for future health value PDFs.
3. Create a Python script that, upon command, fetches current data from the health database and merges it with the provided/prepared table to generate a PDF.

Agent successfully downloaded the attachment to `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin`. Initial attempt to use `gog` with `--path` flag failed (unknown flag). Subsequent check confirmed file is cached locally.

Pending tasks:
- Parse Excel file and merge with existing health database (avoiding duplicates).
- Develop Python script for on-demand PDF generation using the template logic.
- Clarify specific PDF generation library/format requirements if not standard.

Files: Created `/home/agent/.config/gogcli/gmail-attachments/19e00d921
  </content>
</summary>

<summary id="sum_307519ecd08ee071" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:10:14" latest_at="2026-05-07T09:11:19">
  <content>
Agent processed Excel attachment `/home/agent/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx` (1046 rows, 12 cols). Structure includes health metrics (CRP, Lipids, Liver/Kidney, Thyroid, Coagulation, Infections, Urine) with reference ranges and historical values from 2021-2026. Notable data points: High CRP (24.6) in 2025, elevated Non-HDL (5.0) in 2026, positive EBNA-1 IgG.

Agent handled email from Quickview (ID: 19e00d92113a0b25). Applied "gelesen" label (mapped to `Label_1`) and removed UNREAD status.

Encountered CLI errors with `gog` tool: `--format` flag unknown; `get` and `help` passed as unexpected arguments instead of subcommands. Confirmed `gog` v0.13.0 syntax requires subcommands (e.g., `gog gmail`).

Pending tasks:
1. Parse Excel and merge into health database (avoid duplicates).
2. Create Python script for on-demand PDF generation using this Excel as template.

Files: Created `/home/agent/Gesundheit/attachments/Laborwerte_Uebers
  </content>
</summary>

<summary id="sum_fa8a5f90612c1bb5" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:11:19" latest_at="2026-05-07T09:11:19">
  <content>
Agent encountered syntax errors with `gog` CLI v0.13.0, specifically regarding incorrect flag usage (`--format`, `--path`) and argument passing (`get` as argument instead of subcommand). The tool's help output confirms `gog gmail` requires subcommands like `search`, `messages`, `get`, and `attachment`. The email from Marcel (ID: 19e00d92113a0b25) has been processed: attachment downloaded to `/home/agent/.config/gogcli/gmail-attachments/` and email marked as read. The Excel attachment `/home/agent/Gesundheit/attachments/Laborwerte_Uebersicht_2021-2025.xlsx` contains 1046 rows of health metrics (CRP, Lipids, etc.) from 2021-2026.

Pending tasks:
1. Parse the Excel file and merge data into the health database, ensuring no duplicates.
2. Develop a Python script to generate PDFs from the database using the Excel template.

Files: Created/Modified `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin`, `/home/agent/Gesundheit/attachments/Laborwerte_Uebersicht_2021
  </content>
</summary>

<summary id="sum_bfde8d793a12993f" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:11:19" latest_at="2026-05-07T09:11:19">
  <content>
Email from Quickview (ID: 19e00d92113a0b25) received with Excel attachment "Laborwerte_Uebersicht_2021-2025.xlsx" (31KB). Marcel requests merging the data into the health database (avoiding duplicates) and using the file as a template for a future Python script to generate PDFs from the database on demand.

Tool interaction: `gog` CLI returned error for unknown flag `--path`. Correct usage requires subcommands (e.g., `gog gmail get`). Attachment successfully cached locally at `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin` (31231 bytes).

Pending tasks:
1. Parse Excel attachment and merge data into health database with deduplication logic.
2. Create Python script to generate PDFs from the database using the Excel attachment as a template.

Files: Created `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin` (cached locally).

Expand for details about: gog CLI syntax errors, email marking as read, Excel file structure details, specific health metrics (CRP, Lipids, etc.), previous context
  </content>
</summary>

<summary id="sum_83da55bb1d2b76e9" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:11:19" latest_at="2026-05-07T09:47:13">
  <content>
Agent analyzed `Laborwerte_Uebersicht_2021-2025.xlsx` (1046 rows, data in first ~128 rows). Key findings: CRP normalized to 0.8 mg/l (Feb 2026), Liver enzymes (ASAT/ALAT/GGT) normalized, eGFR slightly reduced (84 ml/min), Factor VIII elevated (206%), HLA-B51 positive. User confirmed import of new values into SQLite health database. Import script failed with `AttributeError: 'tuple' object has no attribute 'cell'`, indicating incorrect parsing of Excel row data (likely iterating over tuple objects instead of accessing specific cell attributes).

Pending tasks:
1. Fix Python script parsing logic for Excel rows to successfully import missing lab values.
2. Generate PDFs using Excel template (deferred until import is stable).

Files: Modified `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin` (processed/analyzed).

Expand for details about: Specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine)
  </content>
</summary>

<summary id="sum_36f611123ed59ded" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:47:13" latest_at="2026-05-07T09:50:15">
  <content>
Parsed `Laborwerte_Uebersicht_2021-2025.xlsx` successfully, correcting for column shifts where "Analyse" headers were misinterpreted as data. Extracted 150 data points across 10 measurement dates (2021-2026). Identified key metrics: CRP normalized to 0.8 mg/l (latest), Hämoglobin stable (~15 g/dl), Hämatokrit ~45%, Leukozyten normal.

Attempted import into SQLite `laborwerte` table. Encountered persistent `sqlite3.OperationalError: no such column: ermittelt_datum`. Initial schema inspection via `PRAGMA` showed the column exists, but direct queries fail, suggesting potential case-sensitivity issues or a mismatch between the Python script's column references and the actual database schema state. Existing DB contains 87 rows for 41 parameters. Import logic needs debugging to align column names correctly before proceeding with PDF generation.

Files: Modified `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin` (parsed).

Expand for details about: Specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_a614d260df6be2fb" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:50:15" latest_at="2026-05-07T09:55:11">
  <content>
Fixed SQLite import issue: column name typo corrected from `ermittelt_datum` to `ermittlung_datum` (verified via PRAGMA and CREATE TABLE schema). Successfully imported 150 new data points from `Laborwerte_Uebersicht_2021-2025.xlsx` (spanning 10 measurement dates, 2021-2026) into the `laborwerte` table. DB now contains 237 total rows (was 87). No updates or errors occurred during import. Key metrics previously identified: CRP normalized (0.8 mg/l), HLA-B51 positive, Factor VIII elevated. PDF generation via Excel template remains deferred until import stability is confirmed.

Files: Modified `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin` (parsed/processed).

Expand for details about: Specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_fba4c7802e0a466c" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T09:55:39" latest_at="2026-05-07T10:02:27">
  <content>
PDF generation script `/home/agent/Gesundheit/generate_laborwerte_pdf.py` created and verified. Uses `reportlab` to render lab data from SQLite `laborwerte` table. Successfully generated `/home/agent/Gesundheit/laborwerte_latest.pdf` (18K, full dataset) and `/home/agent/Gesundheit/laborwerte_lipide.pdf` (3.9K, Lipids category filter). Script supports category filtering. Note: Minor path mismatch error occurred during initial test run (`workspace` vs `Gesundheit` dir), but script execution in correct directory succeeded. Data import from previous turn confirmed stable with 237 rows.

Files: Created `/home/agent/Gesundheit/generate_laborwerte_pdf.py`, `/home/agent/Gesundheit/laborwerte_latest.pdf`, `/home/agent/Gesundheit/laborwerte_lipide.pdf`.

Expand for details about: Specific lab value trends for 2026-05-05, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_51e3c44d9f6c1fec" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T10:02:27" latest_at="2026-05-07T10:02:27">
  <content>
Parsed Excel file with 150 data points across 10 measurement dates (2021-2026). Initial parsing error due to column misalignment ('Analyse'/'Referenzbereich' treated as values); corrected by identifying 10 date columns explicitly. Data includes CRP, Hämoglobin, Hämatokrit, Erythrozyten, Leukozyten, etc. Database schema check revealed column name mismatch: query used `ermittelt_datum` but schema defines `ermittlung_datum`. This is a known issue fixed in previous context, but the error reappeared here, likely due to a script or query referencing the old typo. Import to `laborwerte` table (currently 87 rows) pending schema correction. PDF generation script exists and functional.

Files: Modified `/home/agent/.config/gogcli/gmail-attachments/19e00d92113a0b25_ANGjdJ8O_attachment.bin` (parsed).

Expand for details about: Specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_2982c5287b0e549b" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T10:02:27" latest_at="2026-05-07T10:02:27">
  <content>
Schema confirmed: `laborwerte` table uses `ermittlung_datum` (not `ermittelt_datum`). DB contains 87 rows spanning 2026-05-02 to 2026-05-05. Excel source has 150 points across 10 dates. Repeated `sqlite3.OperationalError: no such column: ermittelt_datum` errors indicate stale queries or cached connections referencing the typo. PDF generation script (`generate_laborwerte_pdf.py`) is functional. Import script with dedup logic is pending creation.

Files: Modified `/home/agent/Gesundheit/generate_laborwerte_pdf.py` (verified).

Expand for details about: Specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_d20dc66fb00dc90a" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T10:02:27" latest_at="2026-05-07T10:02:27">
  <content>
Import completed successfully. Fixed column name typo `ermittlung_datum` (was `ermittelt_datum`). Added 150 new entries to `laborwerte` table; no duplicates or errors. DB total: 237 rows. PDF script `generate_laborwerte_pdf.py` verified functional. Retrieved 18 available dates from DB. Sampled 5 dates from 2026-05-05 showing 13-17 parameters each (Lipids, Liver, Urine, Hematology). Data includes reference ranges.

Files: Modified `/home/agent/Gesundheit/generate_laborwerte_pdf.py` (verified).

Expand for details about: Full list of 18 dates, specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Lipids, Coagulation, Autoimmune, Urine), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_c7eee35f82594a7f" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T10:02:27" latest_at="2026-05-07T11:52:49">
  <content>
Laborwerte data import completed. 150 new entries added to `laborwerte` SQLite table (total 237 rows, 18 dates from 2021-2026). Column name typo `ermittelt_datum` corrected to `ermittlung_datum`.

PDF generation script `generate_laborwerte_pdf.py` created and verified. Supports flags: `--latest`, `--date`, `--list-dates`, and category filtering (`-c`). Supported categories: Lipide, Entzündung, Niere, Leber, Hämatologie, Infektion, Schilddrüse, Koagulation, Urin. Test PDFs generated successfully (`laborwerte_latest.pdf`, `laborwerte_lipide.pdf`).

Current status: User asked if QMD backend is running; investigation initiated.

Files: Modified `/home/agent/Gesundheit/generate_laborwerte_pdf.py` (created/verified).

Expand for details about: Specific lab value trends, heartbeat maintenance logs, exact traceback of parsing error, full list of analyzed categories (Coagulation, Autoimmune), SQLite schema debugging steps
  </content>
</summary>

<summary id="sum_67cc9e5b0ddfbe73" kind="leaf" depth="0" descendant_count="0" earliest_at="2026-05-07T11:52:49" latest_at="2026-05-07T12:42:45">
  <content>
QMD backend check: User asked if QMD is running. Agent confirmed QMD is not running as a service (no systemd/Docker, no ports). Investigation revealed QMD CLI is installed globally via npm (`@tobilu/qmd@2.1.0` at `/home/agent/.npm-global/bin/qmd`). QMD is a "Quick Markdown Search" tool with commands for query, search, vector search, collection management, and MCP server support. User dismissed QMD inquiry ("QMD ist vergessen").

Files: none

Expand for details about: QMD CLI usage details, specific npm installation path, Brave browser process logs, context compaction stats, heartbeat maintenance logs
  </content>
</summary>

🦞 OpenClaw 2026.5.6 (c97b9f7)
⏱ Uptime: gateway 59m 18s · system 4d 1h
🧠 Model: qwen3-6-80k-v1/qwen-3.6-agent · 🔑 api-key (models.json)
📚 Context: ?/120k · 🧹 Compactions: 0
🧵 Session: agent:main:main • updated just now
⚙ Execution: direct · Runtime: OpenClaw Pi Default · Think: off · elevated
🪢 Queue: steer (depth 0)

# Prüfe ob QMD als Paket installiert ist
dpkg -l 2>/dev/null | grep -i qmd
echo "---"
# Prüfe ob pip/pip3 qmd installiert hat
pip3 list 2>/dev/null | grep -i qmd
echo "---"
# Prüfe ob qmd binary im PATH
which qmd 2>/dev/null
echo "---"
# Prüfe auf QMD im Home-Verzeichnis
ls -la ~/qmd* ~/QMD* 2>/dev/null
echo "---"
# Prüfe ob qmd im npm global installiert
npm list -g 2>/dev/null | grep -i qmd
echo "---"
# Prüfe ob qmd als Python-Modul importierbar
python3 -c "import qmd; print(qmd.__file__)" 2>&1

---
---
/home/agent/.npm-global/bin/qmd
---
---
├── @tobilu/qmd@2.1.0
---
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'qmd'

(Command exited with code 1)

Ah, QMD ist installiert! Der npm-Befehl existiert unter `/home/agent/.npm-global/bin/qmd` und wurde als `@tobilu/qmd@2.1.0` über npm global installiert.

# Prüfe ob qmd läuft und welche Ports es nutzt
qmd --help 2>&1 | head -30
echo "==="
# Prüfe ob ein qmd-Prozess läuft
ps aux | grep qmd | grep -v grep
echo "==="
# Prüfe Ports die qmd nutzen könnte
ss -tlnp 2>/dev/null | grep -E ':(3000|8000|8080|9000|4000|5000|7000|6000|2000|1337|3001|3002|3003|3004|3005)'

qmd — Quick Markdown Search

Usage:
  qmd <command> [options]

Primary commands:
  qmd query <query>             - Hybrid search with auto expansion + reranking (recommended)
  qmd query 'lex:..\nvec:...'   - Structured query document (you provide lex/vec/hyde lines)
  qmd search <query>            - Full-text BM25 keywords (no LLM)
  qmd vsearch <query>           - Vector similarity only
  qmd get <file>[:line] [-l N]  - Show a single document, optional line slice
  qmd multi-get <pattern>       - Batch fetch via glob or comma-separated list
  qmd skill show/install        - Show or install the packaged QMD skill
  qmd mcp                       - Start the MCP server (stdio transport for AI agents)
  qmd bench <fixture.json>      - Run search quality benchmarks against a fixture file

Collections & context:
  qmd collection add/list/remove/rename/show   - Manage indexed folders
  qmd context add/list/rm                      - Attach human-written summaries
  qmd ls [collection[/path]]                   - Inspect indexed files

Maintenance:
  qmd status                    - View index + collection health
  qmd update [--pull]           - Re-index collections (optionally git pull first)
  qmd embed [-f]                - Generate/refresh vector embeddings
    --max-docs-per-batch <n>    - Cap docs loaded into memory per embedding batch
    --max-batch-mb <n>          - Cap UTF-8 MB loaded into memory per embedding batch
  qmd cleanup                   - Clear caches, vacuum DB

Query syntax (qmd query):
===
===

(Command exited with code 1)

# Prüfe Index-Status und ob ein MCP-Server läuft
qmd status 2>&1
echo "==="
# Prüfe ob MCP-Server läuft
ps aux | grep -E 'qmd.*(mcp|server)' | grep -v grep
echo "==="
# Prüfe ob qmd indexiert ist
qmd collection list 2>&1

QMD Status

Index: /home/agent/.cache/qmd/index.sqlite
Size:  4.0 KB

Documents
  Total:    0 files indexed
  Vectors:  0 embedded

AST Chunking
  Status:   active
  Languages: typescript, tsx, javascript, python, go, rust

No collections. Run 'qmd collection add .' to index markdown files.

Models
  Embedding:   https://huggingface.co/ggml-org/embeddinggemma-300M-GGUF
  Reranking:   https://huggingface.co/ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF
  Generation:  https://huggingface.co/tobil/qmd-query-expansion-1.7B-gguf
[node-llama-cpp] The prebuilt binary for platform "linux" "x64" with Vulkan support is not compatible with the current system, falling back to using no GPU
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[?25h[?25hNot searching for unused variables given on the command line.
-- The C compiler identification is GNU 13.3.0
-- The CXX compiler identification is GNU 13.3.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
CMAKE_BUILD_TYPE=Release
-- Found Git: /usr/bin/git (found version "2.43.0")
-- The ASM compiler identification is GNU
-- Found assembler: /usr/bin/cc
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- GGML_SYSTEM_ARCH: x86
-- Including CPU backend
-- Found OpenMP_C: -fopenmp (found version "4.5")
-- Found OpenMP_CXX: -fopenmp (found version "4.5")
-- Found OpenMP: TRUE (found version "4.5")
-- x86 detected
-- Adding CPU backend variant ggml-cpu: -march=native
CMake Error at /usr/share/cmake-3.28/Modules/FindPackageHandleStandardArgs.cmake:230 (message):
  Could NOT find Vulkan (missing: Vulkan_LIBRARY Vulkan_INCLUDE_DIR glslc)
  (found version "")
Call Stack (most recent call first):
  /usr/share/cmake-3.28/Modules/FindPackageHandleStandardArgs.cmake:600 (_FPHSA_FAILURE_MESSAGE)
  /usr/share/cmake-3.28/Modules/FindVulkan.cmake:600 (find_package_handle_standard_args)
  llama.cpp/ggml/src/ggml-vulkan/CMakeLists.txt:9 (find_package)

-- Configuring incomplete, errors occurred!
Not searching for unused variables given on the command line.
-- The C compiler identification is GNU 13.3.0
-- The CXX compiler identification is GNU 13.3.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
CMAKE_BUILD_TYPE=Release
-- Found Git: /usr/bin/git (found version "2.43.0")
-- The ASM compiler identification is GNU
-- Found assembler: /usr/bin/cc
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- GGML_SYSTEM_ARCH: x86
-- Including CPU backend
-- Found OpenMP_C: -fopenmp (found version "4.5")
-- Found OpenMP_CXX: -fopenmp (found version "4.5")
-- Found OpenMP: TRUE (found version "4.5")
-- x86 detected
-- Adding CPU backend variant ggml-cpu: -march=native
CMake Error at /usr/share/cmake-3.28/Modules/FindPackageHandleStandardArgs.cmake:230 (message):
  Could NOT find Vulkan (missing: Vulkan_LIBRARY Vulkan_INCLUDE_DIR glslc)
  (found version "")
Call Stack (most recent call first):
  /usr/share/cmake-3.28/Modules/FindPackageHandleStandardArgs.cmake:600 (_FPHSA_FAILURE_MESSAGE)
  /usr/share/cmake-3.28/Modules/FindVulkan.cmake:600 (find_package_handle_standard_args)
  llama.cpp/ggml/src/ggml-vulkan/CMakeLists.txt:9 (find_package)

-- Configuring incomplete, errors occurred!
ERROR OMG Process terminated: 1

[node-llama-cpp] To resolve errors related to Vulkan compilation, see the Vulkan guide: https://node-llama-cpp.withcat.ai/guide/Vulkan
[node-llama-cpp] Failed to build llama.cpp with Vulkan support. falling back to no GPU. Error: SpawnError: Command npm run -s cmake-js-llama -- compile --log-level warn --config Release --arch=x64 --out localBuilds/linux-x64-vulkan --runtime-version=22.22.2 --parallel=6 --CDGGML_BUILD_NUMBER=1 --CDCMAKE_CONFIGURATION_TYPES=Release --CDNLC_CURRENT_PLATFORM=linux-x64 --CDNLC_TARGET_PLATFORM=linux-x64 --CDNLC_VARIANT=vulkan.b8390 --CDGGML_METAL=OFF --CDGGML_VULKAN=1 --CDGGML_CCACHE=OFF --CDLLAMA_CURL=OFF --CDLLAMA_HTTPLIB=OFF --CDLLAMA_BUILD_BORINGSSL=OFF --CDLLAMA_OPENSSL=OFF exited with code 1
    at createError (file:///home/agent/.npm-global/lib/node_modules/@tobilu/qmd/node_modules/node-llama-cpp/dist/utils/spawnCommand.js:34:20)
    at ChildProcess.<anonymous> (file:///home/agent/.npm-global/lib/node_modules/@tobilu/qmd/node_modules/node-llama-cpp/dist/utils/spawnCommand.js:47:24)
    at ChildProcess.emit (node:events:519:28)
    at ChildProcess._handle.onexit (node:internal/child_process:293:12)
QMD Warning: no GPU acceleration, running on CPU (slow). Run 'qmd status' for details.

Device
  GPU:      none (running on CPU — models will be slow)
  Tip: Install CUDA, Vulkan, or Metal support for GPU acceleration.
  CPU:      8 math cores
===
===
No collections found. Run 'qmd collection add .' to create one.

QMD ist installiert (`@tobilu/qmd@2.1.0`), läuft aber **nicht aktiv** als Backend-Dienst. Status:

- **Index:** leer (0 Dateien indexiert, 0 Vektoren eingebettet)
- **GPU:** keine GPU (Vulkan fehlt), läuft auf CPU
- **MCP-Server:** nicht gestartet
- **Collections:** keine angelegt

QMD ist also installiert, aber noch nicht konfiguriert oder im Einsatz. Es muss erst Collections indexiert und der MCP-Server gestartet werden, bevor es genutzt werden kann. ⚡

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