Skip to main content

This is the Python package py-llm-factory.

Project description

Welcome

llm-factory is a python package that can select and install LLM provider dynamically.

Usage

import py_llm_factory

# By default, it will use the LLM provider from the environment variables.
client = py_llm_factory.get_openai_compatible_client()

# You can also specify the LLM provider and API key.
client = py_llm_factory.get_openai_compatible_client(provider='openai', api_key='your_api_key')

# Let's say if you want to use the Groq provider, you can do this:
client = py_llm_factory.get_openai_compatible_client(provider='groq', api_key='your_api_key')

# Or AWS Bedrock provider, you can do this:
client = py_llm_factory.get_openai_compatible_client(provider='openai', api_key='your_api_key', base_url='https://bedrock-runtime.us-east-1.amazonaws.com/openai/v1')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_llm_factory-0.0.1.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

py_llm_factory-0.0.1-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file py_llm_factory-0.0.1.tar.gz.

File metadata

  • Download URL: py_llm_factory-0.0.1.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for py_llm_factory-0.0.1.tar.gz
Algorithm Hash digest
SHA256 96b755a3a1dfd5e72ed2a5f2c8e244725bdf8f7fd8150fd5e6820b2ba27dd120
MD5 0306f12ccd4d74adb69490bd8b369cd2
BLAKE2b-256 aa7c0389bc72119e8e2238de529fa8a5b7ab37af794b098dfac184b7d499a492

See more details on using hashes here.

Provenance

The following attestation bundles were made for py_llm_factory-0.0.1.tar.gz:

Publisher: deploy-to-pypi.yml on hktonylee/py-llm-factory

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file py_llm_factory-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: py_llm_factory-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for py_llm_factory-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 50ab6c40c1de7168d68417be7ba05b64d2ecf29aba4c6ed7e6bc51b82339f683
MD5 24ec8dede52820754741965350ba5797
BLAKE2b-256 42113f5418091a4d4d8e0bcc8659a68143ebaab1cf3ddb56835f1aa8440b3bda

See more details on using hashes here.

Provenance

The following attestation bundles were made for py_llm_factory-0.0.1-py3-none-any.whl:

Publisher: deploy-to-pypi.yml on hktonylee/py-llm-factory

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page