A truly natural scripting language
humanscript is an inferpreter. A script interpreter that uses a large language model to infer the meaning behind commands written in natural language. Human writeable commands are translated into code that is then executed on the fly. There is no predefined syntax, humanscripts just say what they want to happen, and when you execute them, it happens.
The humanscript inferpreter supports a wide range of LLM backends. It can be used with cloud hosted LLMs like OpenAI's GTP-3.5 and GPT-4. It can also be used with open source LLMs running on your local machine like Llama 2.
This is a humanscript called bitcoin-poem
.
#!/usr/bin/env humanscript
write a poem
print the poem
get the latest bitcoin blockhash from the mempool api
hash the poem and the blockhash together
print the blockhash, and the combined hash
It can be executed like any other script.
$ ./bitcoin-poem
Poem: Roses are red, violets are blue. Bitcoin is volatile, and that is true
Bitcoin Blockhash: 0000000000000000000413b966555eee6794dac502ac66ec88d7e752ffec8a4b
Combined hash: ad69015c2f43d86b2d3247b78c81d9bb8f38e453a05d6fd264f42c44d74390e4
The LLM inferpreted the humanscript into this bash script.
#!/usr/bin/env bash
poem="Roses are red, violets are blue. Bitcoin is volatile, and that is true"
echo "Poem: $poem"
blockhash=$(curl -s https://mempool.space/api/blocks/tip/hash)
combined_hash=$(echo -n "$poem$blockhash" | sha256sum | cut -d ' ' -f1)
echo "Bitcoin Blockhash: $blockhash"
echo "Combined hash: $combined_hash"
You can run humanscript in a sandboxed environmnet via Docker:
docker run -it ghcr.io/lukechilds/humanscript
Alternatively you can install it natively on your system with Homebrew:
brew install lukechilds/humanscript/humanscript
Or manually install by downloading this repository and copy/symlink humanscript
into your PATH.
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' >> my-humanscript
echo 'print an ascii art human' >> my-humanscript
chmod +x my-humanscript
And then run it.
./my-humanscript
O
/|\
/ \
TODO
TODO
Due to the non-determinstic nature of LLMs each time you inferpret a humanscript, slightly different code will execute. To mitigate this inconvenience the humanscript inferpreter caches the generated code after the intial run and doesn't reinferpret the humanscript again until it is modified.
During humanscript inferpretation the generated code is streamed out of the LLM and executed line by line. This means large scripts can be executed quickly because exection is not blocked waiting for the LLM inference to complete.
I'm not sure.
I don't know.
The following environment variables can be added to ~/.humanscript/config
to be globally applied to all humanscripts.
Default: https://api.openai.com
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"
Default: unset
The API key to be sent to the LLM backend. Only needed when using OpenAI.
HUMANSCRIPT_API_KEY="sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
Default: gpt-4
The model to use for inference.
HUMANSCRIPT_MODEL="gpt-3.5"
Default: true
If the humanscript inferpreter should automatically execute the generated code on the fly.
If false the generated code will be streamed to stdout.
HUMANSCRIPT_EXECUTE="false"
Default: false
If 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.
HUMANSCRIPT_REGENERATE="true"
MIT © Luke Childs