LLM-GigaChat
This is a plugin for llm CLI utility which allows to use GigaChat model.
Installation
First, make sure that you have llm installed , using pip:
pip install llm
Then install the plugin
llm install llm-gigachat
Getting started
Set your GigaChat API key like this:
llm keys set gigachat
Now that you've saved a key you can run a prompt like this:
llm -m gigachat "What is your name?"
I also find it useful to use alias g instead of gigachat. You can set it with
llm aliases set g gigachat
You can also see you logs in llm logs path
Metadata
Release files for llm-gigachat 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llm_gigachat-0.1.tar.gz | 7.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_gigachat-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.8 kB
Release files / llm_gigachat-0.1.tar.gz
| Download URL | llm_gigachat-0.1.tar.gz |
|---|---|
| Size | 7.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.12
|
Release files / llm_gigachat-0.1-py3-none-any.whl
| Download URL | llm_gigachat-0.1-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.12
|
Security for llm-gigachat 0.1
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None of the files in this release were uploaded with provenance metadata.
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