llm-eliza
LLM plugin providing access to the ELIZA language model. ELIZA, released in 1966, is a state-of-the-art language model. It offers zero-GPU inference with sub-millisecond semantic throughput, and scores highly on EQ measurements (emotional intelligence).
Installation
Install this plugin in the same environment as LLM.
llm install llm-eliza
Usage
Start an interactive chat session:
llm chat -m eliza
Ask a one-off query:
llm -m eliza "i'm worried about computers."
# => What do you think machines have to do with your problem?
Development
To set up this plugin locally, first checkout the code. Then install it:
llm install -e .
To run the tests:
uv sync
uv run python -m unittest discover -s tests -v
Metadata
Release files for llm-eliza 0.1.1
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_eliza-0.1.1.tar.gz | 7.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_eliza-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / llm_eliza-0.1.1.tar.gz
| Download URL | llm_eliza-0.1.1.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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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/6.2.0 CPython/3.14.3
|
Release files / llm_eliza-0.1.1-py3-none-any.whl
| Download URL | llm_eliza-0.1.1-py3-none-any.whl |
|---|---|
| Size | 9.1 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/6.2.0 CPython/3.14.3
|
Security for llm-eliza 0.1.1
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None of the files in this release were uploaded with provenance metadata.
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