Green Agent
Library providing uniform (mostly) abstration across foundation-models APIs + nice "interface" helpers for running experiments or crafting your own ChatGPT-style UI.
For now it supports chat-tuned LLMs from OpenAI and Google (Vertex AI) - more stuff to come.
Usage
Inside a jupyter notebook:
import green_agent as ga
ag1 = ga.AgentNbUI(ga.OpenAIAgent(
"You are a sarcastic but helpful assistant.",
model="gpt-3.5-turbo"
))
ag1.asks("Which foods would you suggest trying when visiting Lyon, France?")
How to develop
First time:
poetry install --with test dev
poetry shell
python -m ipykernel install --user --name green-agent
In general:
poetry shell
Notebooks:
jupyter notebook # classic UI
jupyter lab # modern UI
Managing dependencies with Poetry
poetry add <my-dependency>
poetry add <my-dependency> --group dev
poetry add <my-dependency> --group test
poetry export -o all-requirements.txt
1 maintainer
Metadata
1 maintainer
Release files for green-agent 0.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| green_agent-0.4.0.tar.gz | 4.8 kB | Without provenance | Details for green_agent-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| green_agent-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for green_agent-0.4.0-py3-none-any.whl |
Total release size: 11.0 kB
Release files / green_agent-0.4.0.tar.gz
| Download URL | green_agent-0.4.0.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / green_agent-0.4.0-py3-none-any.whl
| Download URL | green_agent-0.4.0-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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