ind commands written in natural language using s then executed on the fly. There is no execute them, it happens.
ed with cloud hosted LLMs like OpenAI's GPT-3.5
ory of screenshots and organises them into
line so execution is not blocked waiting for uted instantly on subsequent runs, bypassing
t` into your PATH.
etimes do weird and dangerous things. Speaking day evening, you should atleast run humanscripts e before executing.
humanscript is configured out of the box to use OpenAI's GPT-4, you just need to add your API key.
We need to add it to ~/.humanscript/config
mkdir -p ~/.humanscript/
echo 'HUMANSCRIPT_API_KEY="<your-openai-api-key>"' >> ~/.humanscript/config
Now you can create a humanscript and make it executable.
echo '#!/usr/bin/env humanscript
print an ascii art human' > asciiman
chmod +x asciiman
And then execute it.
./asciiman
O
/|\
/ \
All environment variables can be added to ~/.humanscript/config
to be applied globally to all humanscripts:
$ cat ~/.humanscript/config
HUMANSCRIPT_API_KEY="sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
HUMANSCRIPT_MODEL="gpt-4"
or on a per script basis:
$ HUMANSCRIPT_REGENERATE="true" ./asciiman
Default: https://api.openai.com/v1
A server following OpenAI's Chat Completion API.
Many local proxies exist that implement this API in front of locally running LLMs like Llama 2. LM Studio is a good option.
HUMANSCRIPT_API="http://localhost:1234/v1"
Default: unset
The API key to be sent the LLM backend. Only needed when using OpenAI. Many locals proxies that implement this API can frequently merged in openAI.
HUMANSCRIPT_API_KEY="sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
Default: gpt-4
The model to use for inference.
HUMANSCRIPT_MODEL="gpt-3.5"
Default: true
Whether or not the humanscript inferpreter should automatically execute the generated code on the fly.
If false the generated code will not be executed and instead be streamed to stdout.
HUMANSCRIPT_EXECUTE="false"
Default: false
Whether or not the humanscript inferpreter should regenerate a cached humanscript.
If true the humanscript will be reinferpreted and the cache entry will be replaced with the newly generated code. Due to the nondeterministic nature of LLMs each time you reinferpret a humanscript you will get a similar but slightly different output.
HUMANSCRIPT_REGENERATE="true"
MIT © Luke Childs