llmsurgery
Install
pip install llmsurgery
What’s here
Dialogs are LLM conversations kept as Jupyter notebooks: notes, runnable code with outputs, and prompt/reply pairs in one editable, diffable document. The dialog data model and toolkit live in aidialog. This library contains the provider-session layers:
llmsurgery.compact: bounded conversation rendering and compaction documents.llmsurgery.ant: Claude Code session transcripts, including reading, writing, search, curation, compaction, and dialog conversion.llmsurgery.oai: Codex rollouts, including reading, search, compaction, and dialog conversion.llmsurgery.sess: one entry point across both hosts, finding a session by id prefix and reading it as a dialog, plus thesess2nbcommand.
llmsurgery.skill is the single pyskills entry point. It routes agents to doc(llmsurgery.ant) for Claude sessions, doc(llmsurgery.oai) for Codex sessions, and the compaction module when bounded rendering is needed.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llmsurgery-0.0.15.tar.gz.
File metadata
- Download URL: llmsurgery-0.0.15.tar.gz
- Upload date:
- Size: 59.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c8bb8d1cd6f87985e13e7e0d29a815d7601f1b69980d2f232cc4522dad4cc571
|
|
| MD5 |
87f1ff5ba1a167f230563dc29381ed4e
|
|
| BLAKE2b-256 |
b475b2163814f3a4ac0f6718cf0bd2af5fcfae7a98e5a2f8e6055144858596d0
|
File details
Details for the file llmsurgery-0.0.15-py3-none-any.whl.
File metadata
- Download URL: llmsurgery-0.0.15-py3-none-any.whl
- Upload date:
- Size: 63.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
35258bd0dc047189617395151ae65e6ecc499b32e2c874bde96e3adbbab41640
|
|
| MD5 |
b1d13e6a6fd56d6fbd739a5ce97ff331
|
|
| BLAKE2b-256 |
1f7a08dca0c6f337903580aa7533058f59f0c7109546a14768b632d6e185582f
|
