Descriptions sent to the AI are cut to 800 characters. When the cut landed
inside an emoji (stored as two UTF-16 halves), the request carried half of it,
which DeepSeek rejects: "unexpected end of hex escape". Text is now cut before
the emoji, anything already broken in the library is replaced before sending,
and the tags, names, collection ideas and descriptions read back are cut the
same safe way.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
- Runs can now do any mix of: tags & descriptions, clearer names, and
collection suggestions. A run without tags doesn't mark models as tagged.
- Collection ideas reuse your collections and earlier ideas where they fit and
wait on the AI page, grouped by name, until you create/add or dismiss them.
Dismissed ideas aren't suggested for that model again; spelling variants
group together under the capitalised spelling.
- A reply that isn't the JSON asked for is asked again once; both requests
count towards the run's tokens and cost.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
A run option asks the AI for a clearer name only when the current one is messy
(file-name leftovers, typos, site boilerplate). The previous name is kept, the
run feed shows what was renamed, and the model page offers Undo. Giving a model
a name yourself clears the undo.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
- AI tagging through any OpenAI-compatible API: DeepSeek by default, or
OpenRouter, OpenAI, or a local server (Ollama, LM Studio). Settings → AI
with presets, prices and "Save & test connection"; the key never leaves
the server except to the provider.
- Runs over untagged models, all models, or one model from its page: live
progress, tokens and cost, stop/resume (retrying failures), an optional
spending limit, and paused rather than resumed after a restart. Adapts to
models without JSON mode or image input; stops on a rejected key or no
credit. Tags are only added; descriptions filled only where empty unless
asked.
- Search by meaning: local bge-small-en-v1.5 embeddings (transformers.js),
indexed in the background whenever a model's text changes; Words/Meaning
switch on the search box. Stored as REAL[] in Postgres, no pgvector needed.
- Automatic tags: strict whole-word rules (part types, mechanisms, materials,
techniques) over names, file names and archive contents, plus your own
word -> tag rules; on/off (optionally removing its tags) and re-apply.
- Tags remember where they came from (user / rule / ai); edits keep that,
rule and AI passes never touch your own tags, and the model page marks them.
- Docker: ships the embedding model and only Linux onnxruntime binaries.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
