LLM agents is a python package that contains a collection of Language Model (LLM) agents specialized in different domains involves several key components. Each agent within the package would be tailored to its specific field, such as economics, energy analysis, geopolitical analysis, and transportation supply chain analysis. Below is an elaboration on the skeleton structure of such a software package:
Package Structure
/llm_agents (Root Directory)
Contains all the components of the package.
/agents
This directory contains the implementation of each LLM agent.
/economist
economist_agent.py: Implementation of the LLM agent specialized in economics.
/energy_analyst
energy_analyst_agent.py: Implementation of the LLM agent specialized in energy analysis.
/geopolitical_analyst
geopolitical_analyst_agent.py: Implementation of the LLM agent specialized in geopolitical analysis.
/transportation_supply_chain_analyst
transportation_supply_chain_analyst_agent.py: Implementation of the LLM agent specialized in transportation and supply chain analysis.
Metadata
Release files for optisherpa-agents 0.0.5
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 |
|---|---|---|---|---|
| optisherpa_agents-0.0.5.tar.gz | 4.8 kB | Without provenance | Details for optisherpa_agents-0.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| optisherpa_agents-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for optisherpa_agents-0.0.5-py3-none-any.whl |
Total release size: 14.5 kB
Release files / optisherpa_agents-0.0.5.tar.gz
| Download URL | optisherpa_agents-0.0.5.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0f9af9d7cae6df3315ecec6511d1aa1fb968958a64ce0854a8527d280a0ff2aa
|
|
BLAKE2b-256 checksum How to use checksums |
e3fda34886b98f937f655859105406d140fdd32111d9716ed30a97dcb5c5e87e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.9.18 Darwin/23.2.0
|
Release files / optisherpa_agents-0.0.5-py3-none-any.whl
| Download URL | optisherpa_agents-0.0.5-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
efd2691c28b097f6cf3b29281cc17c8a52e21d17aadbe6a26dd790da849b9cc9
|
|
BLAKE2b-256 checksum How to use checksums |
049d4ebfface3f46a8ffb4da30f3a430eaed4430ff4efc9ce59283aed8a64dbc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.9.18 Darwin/23.2.0
|
Security for optisherpa-agents 0.0.5
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.