GPTStonks Wrappers
Description
GPTStonks Wrappers provides Auto models, similar to the transformers library, but for common AI tools instead of models: LangChain, LlamaIndex, etc.
Development
-
Install PDM.
-
Clone the project and install necessary packages:
# clone project
git clone https://github.com/GPTStonks/gptstonks.git
cd gptstonks
# install pdm
pip install pdm
# install package
pdm install -dG default
Sample usage with pre-trained models
In the API project, AutoRag is used to perform retrieval-augmented generation (RAG) with OpenBB's official documentation and with pre-trained models (e.g., OpenAI, Anthropic, Llama.cpp, etc.). Additionally, AutoMultiStepQueryEngine plans and executes Internet searches to solve complex queries.
1 maintainer
Metadata
1 maintainer
Release files for gptstonks-wrappers 0.0.3.post1
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 |
|---|---|---|---|---|
| gptstonks_wrappers-0.0.3.post1.tar.gz | 12.3 kB | Without provenance | Details for gptstonks_wrappers-0.0.3.post1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| gptstonks_wrappers-0.0.3.post1-py3-none-any.whl | Python 3 | none | any | Details for gptstonks_wrappers-0.0.3.post1-py3-none-any.whl |
Total release size: 23.9 kB
Release files / gptstonks_wrappers-0.0.3.post1.tar.gz
| Download URL | gptstonks_wrappers-0.0.3.post1.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b2212ac75738eca563cfce2634495e55ab2d9956ec2a90c6d7e6e865f649784e
|
|
BLAKE2b-256 checksum How to use checksums |
8c32ac33435dd935d7701f19cf211ad410283fdacbda6807a8957547cb3674c2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
pdm/2.22.0 CPython/3.12.3 Linux/6.8.0-1017-azure
|
Release files / gptstonks_wrappers-0.0.3.post1-py3-none-any.whl
| Download URL | gptstonks_wrappers-0.0.3.post1-py3-none-any.whl |
|---|---|
| Size | 11.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
29d53665f01ad736e0c3b1f4282ebf50ab8c91c4aec880003eab3ed13206deb9
|
|
BLAKE2b-256 checksum How to use checksums |
117d5b205645b40cf2ee7bab7d75971777f005dd7761a61cd9622662d77f6ba1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
pdm/2.22.0 CPython/3.12.3 Linux/6.8.0-1017-azure
|
Security for gptstonks-wrappers 0.0.3.post1
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.
