Skip to content

Releases: pfrankov/obsidian-local-gpt

1.14.7

05 Dec 22:30
Compare
Choose a tag to compare

Fixed mime types for images, removed context optimizations for Ollama provider when it's an image in the selected text.

1.14.6

05 Dec 21:26
Compare
Choose a tag to compare

Fixed issue with parsing OpenRouter's requests.

1.14.5

02 Dec 20:35
Compare
Choose a tag to compare

Increased threshold when in next call context size can be deoptimized in order to reduce VRAM consumption. Closes #54

1.14.4

16 Nov 22:23
Compare
Choose a tag to compare

Changed default URL for OpenAI like providers to v1/
Added necessary headers to embeddings request

1.14.3

18 Oct 13:04
Compare
Choose a tag to compare

Fixed delay between first load and showing settings tab. Closes #40

1.14.2

15 Oct 20:05
Compare
Choose a tag to compare

Changed heuristic for setting the context length of the requests introduced in 1.12.0. Previously it could cause problems with requests larger than 2048 tokens.

1.14.1

12 Oct 20:51
Compare
Choose a tag to compare

Fixed PDF caching. It didn't work in 1.14.0 if you updated from 1.13+
Increased Context cap from 7000 to 10000 characters for very long requests.

1.14.0

10 Oct 21:53
Compare
Choose a tag to compare

Added nice ✨Enhancing loader for embedding process

Added PDF caching. No more waiting of parsing PDFs.

Limited Context to 7000 characters. It should be enough for anyone. This will provide more precise responses for Enhanced Actions.

1.13.1

07 Oct 20:16
Compare
Choose a tag to compare

Added first portion of tests.
Fixed network requests on mobile. Closes #35

1.13.0

06 Oct 16:52
Compare
Choose a tag to compare

🎉 PDF support for Enhanced Actions

Kapture 2024-10-06 at 19 28 01
Works only with text-based PDFs. No OCR.

Persistent storage for Enhanced Actions cache

So it persist even after restart of Obsidian.
This significantly speeds up work with documents that have already been used for EA and have not changed.
Check out what the first and second calls of the same 8 nested documents (39 chunks) look like:
Kapture 2024-10-06 at 19 39 38

Note: after changing the model for embedding, the caches are reset.