fixes issue seen with some models in lm studio resulting in:
"The number of tokens to keep from the initial prompt is greater than the context length (n_keep: 4705>= n_ctx: 4096)"
Fixed char/token estimate, the old value was too optimistic,
causing the cap to allow more text than the budget allowed in actual tokens.
After RAG injection, estimates the system prompt token count.
If it exceeds ~3000 tokens, requests the next standard context size (8192, 16384, 32768, or 65536),
large enough to fit the prompt plus a 2048-token buffer for the conversation and response.
For Ollama, num_ctx is honoured per-request and will load the model with that context
window. For LM Studio, the parameter is silently ignored — but the tighter char
estimate will also reduce how much RAG text gets stuffed in, so it's less likely to
overflow.
Added a cleanup failed button for Processing Queue in the Knowledge Base
since documents that fail to process tend to get stuck and then can't be
cleared.
Fixed the ingestion of documents for OpenAI servers.
Updated some text in the chat and chat settings since user will need to
manually download models when using a non-ollama remote gpu server.
Exisiting Ollama API support still functions as before. OpenAI vs
Ollama API mostly have the same features, however model file size is not
support with OpenAI's API so when a user chooses one of those then the
models will just show up as the model name without the size.
`npm install openai` triggered some updates in admin/package-lock.json
such as adding many instances of "dev: true".
This further enhances the user's ability to run the LLM on a different
host.
This adds a new setting in the chat app under "models & settings" where
the user can set "Remote Ollama URL" to an IP or hostname of another
device on the network running ollama which is also running with the
setting "OLLAMA_HOST=0.0.0.0:11434"
Backend returned { error: message } on 400 but frontend expected { message }.
catchInternal swallowed Axios errors and returned undefined, causing a
generic 'An internal error occurred' message instead of the real reason
(already installed, already in progress, not found).
- Fix 400 response shape to { success: false, message } in controller
- Replace catchInternal with direct error handling in installService,
affectService, and forceReinstallService API methods
- Extract error.response.data.message from Axios errors so callers
see the actual server message
The log2 normalization formula `50 * (1 + log2(ratio))` produces negative
values (clamped to 0) whenever the measured value is less than half the
reference. For example, a CPU scoring 1993 events/sec against a 5000
reference gives ratio=0.4, log2(0.4)=-1.32, score=-16 -> 0%.
Fix by dividing log2 by 3 to widen the usable range. This preserves the
50% score at the reference value while allowing below-average hardware
to receive proportional non-zero scores (e.g., 28% for the CPU above).
Also adds debug logging for CPU sysbench output parsing to aid future
diagnosis of parsing issues.
Fixes#415
Model downloads that fail (e.g., when Ollama is too old for a model)
were silently retrying 40 times with no UI feedback. Now errors are
broadcast via SSE and shown in the Active Model Downloads section.
Version mismatch errors use UnrecoverableError to fail immediately
instead of retrying. Stale failed jobs are cleared on retry so users
aren't permanently blocked.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
O Content Manager chamava api.deleteZimFile() para deletar arquivos
ZIM, mas esse método nunca foi implementado na classe API, causando
"TypeError: deleteZimFile is not a function".
O backend (DELETE /api/zim/:filename → ZimController.delete) já
existia e funcionava corretamente — só faltava o método no client
frontend que faz a ponte.
Closes#372
Link to the full step-by-step install walkthrough on projectnomad.us/install,
placed below the Quick Install command for users who need Ubuntu setup help.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When the install script runs a second time (e.g., after a failed first
attempt), it generates new random database passwords and writes them to
compose.yml. However, MySQL only initializes credentials on first startup
when its data directory is empty. If /opt/project-nomad/mysql/ persists
from the previous attempt, MySQL skips initialization and keeps the old
passwords, causing "Access denied" errors for nomad_admin.
Fix: remove the MySQL data directory before generating new credentials
so MySQL reinitializes with the correct passwords.
Closes#404
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
roguesupport.com changed to rogue.support (the actual domain).
Updates href and display text in two places.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The 2024-01 all_maxi ZIM was removed from Kiwix mirrors, causing
silent 404 failures for users selecting "Complete Wikipedia (Full)".
Updated to 2026-02 release (115 GB).
Closes#216
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
GPU detection results were only applied at container creation time and
never persisted. If live detection failed transiently (Docker daemon
hiccup, runtime temporarily unavailable), Ollama would silently fall
back to CPU-only mode with no way to recover short of force-reinstall.
Now _detectGPUType() persists successful detections to the KV store
(gpu.type = 'nvidia' | 'amd') and uses the saved value as a fallback
when live detection returns nothing. This ensures GPU config survives
across container recreations regardless of transient detection failures.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Failed download jobs persist in BullMQ forever with no way to clear
them, leaving stale error notifications in Content Explorer and Easy
Setup. Adds a dismiss button (X) on failed download cards that removes
the job from the queue via a new DELETE endpoint.
- Backend: DELETE /api/downloads/jobs/:jobId endpoint
- Frontend: X button on failed download cards with immediate refresh
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
