[!WARNING] Project is in its early stage of development. Current version is not stable.
*🦖 macrosaurus
Versatile AI client that works out of the box. Powered by OpenAI's Python SDK behind the scenes to handle dozens of AI providers without all the complexity.
Supports the following out of the box:
- OpenAI
- SambaNova
- Anthropic
- Cohere
- Fireworks
- Together
- Vertex AI
📦 Setup
pip install macrosaurus
🛠️ Usage
Set up a base client from one of the supported providers.
from macrosaurus import Client
client = Client(provider="sambanova",
api_key="API_KEY")
Extend these clients with better functionality.
from macrosaurus.llm import LLM
llm = LLM(client, model="Meta-Llama-3.2-3B-Instruct")
for chunk in llm.stream("Tell me a joke"):
print(chunk, end="")
Want to add your own Provider?
from macrosaurus.providers import Provider
from macrosaurus import Client
perplexity = Provider(name="Perplexity", endpoint="https://api.perplexity.ai")
client = Client(provider=perplexity, api_key="API_KEY")
Docs to be continued...
🎯 Motivation
Handling LLMs or AI models from different providers should be easy. Made this because it wasn't. Macrosaurus is dirt simple and has tools that makes the development process nicer. Why not use LangChain instead? It's not built for production. Macrosaurus was also originally built for Openmacro.
Metadata
Release files for macrosaurus 0.0.4
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 | Actions |
|---|---|---|---|---|
| macrosaurus-0.0.4.tar.gz | 6.0 kB | Without provenance | Details for macrosaurus-0.0.4.tar.gz |
Release files / macrosaurus-0.0.4.tar.gz
| Download URL | macrosaurus-0.0.4.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f5960d1ccd29c380ce5582dbb603689c22ad74dbfb8c9abe9ed007b0fee2f97c
|
|
BLAKE2b-256 checksum How to use checksums |
0d0bec7cef33145e77ef180d7dbb167455082559dc87bd38c83cb63023850941
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
Security for macrosaurus 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.