Dynamically convert your prompts into Python functions, with template variables as function parameters for each prompt. Get visibility into your prompts through intellisense, without cluttering your python code with long running f-strings.
Installation
pip install prompt-compiler
Usage
- Create prompt templates with .mdx extension:
# Example prompt
System: {{ system }}
User: {{ user }}
- Compile prompts:
# One-time build
prompt-compiler build ./templates
# Watch mode
prompt-compiler watch ./templates
- Use in your code:
from templates.__prompts__ import example
result = example(
system="You are a helpful assistant",
user="Hello!"
)
1 maintainer
Release files for prompt-compiler 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 | |
|---|---|---|---|
| prompt_compiler-0.1.1.tar.gz | 4.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| prompt_compiler-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.6 kB
Release files / prompt_compiler-0.1.1.tar.gz
| Download URL | prompt_compiler-0.1.1.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/2.0.1 CPython/3.10.6 Linux/5.15.153.1-microsoft-standard-WSL2
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Release files / prompt_compiler-0.1.1-py3-none-any.whl
| Download URL | prompt_compiler-0.1.1-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/2.0.1 CPython/3.10.6 Linux/5.15.153.1-microsoft-standard-WSL2
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