Skip to main content

Adapters as API gateways to Different LLM Models

Project description

LLM Adapters

LLM Adapters provides a unified interface for interacting with various language model APIs, supporting both synchronous and asynchronous operations. Whether you're using OpenAI, Claude, or other providers, this library simplifies integration and offers flexibility in usage.

Installation

To install llm-adapters for use in your projects, simply run:

pip install llm-adapters

Usage

Package is using OpenAI SDK format, so you can use it as a drop in replacement for the OpenAI SDK, just need to change the import. It works both for synchronous and asynchronous clients.

from llm_adapters import OpenAI

client = OpenAI()

completion = client.chat.completions.create(
  model="claude-3-5-sonnet-20241022",
  messages=[
    {"role": "developer", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)

Note: If you plan to contribute to this project, you'll need Poetry to set up the development environment. After cloning the repository, run:

poetry install
poetry run pre-commit install

Getting Started

Prerequisites

  • Python 3.11+
  • Poetry (if using Poetry)

Setup

  1. Copy .env-example to .env and fill in the necessary environment variables.

Supported Models

Adapter paths follow the format provider/vendor/model_name. Use AdapterFactory.get_supported_models() to retrieve all supported models. For any model, calling .get_path() will return its adapter path.

Configuration and Environment

LLM Adapters can be customized via environment variables. For example, configure the HTTP client settings with:

ADAPTERS_MAX_KEEPALIVE_CONNECTIONS_PER_PROCESS = 100
ADAPTERS_MAX_CONNECTIONS_PER_PROCESS = 1000
ADAPTERS_HTTP_CONNECT_TIMEOUT = 5
ADAPTERS_HTTP_TIMEOUT = 600

To override base URLs for testing or specific setups:

_ADAPTERS_OVERRIDE_ALL_BASE_URLS_ = "https://new-base-url.com/api"

Testing and Pre-commit

  • Run tests with:
poetry run pytest
  • Validate code using pre-commit hooks:
poetry run pre-commit run --all-files

Contributing

We welcome contributions! To contribute:

  1. Fork the repository.
  2. Create a branch for your feature or bug fix.
  3. Update tests and documentation as necessary.
  4. Run existing tests and pre-commit checks.
  5. Submit a pull request.

Versioning

This project adheres to Semantic Versioning.

Additional Resources

For complete documentation and a list of supported models, please visit our Documentation Site.

Happy coding!

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

llm_adapters-8.9.0.tar.gz (32.5 kB view details)

Uploaded Source

Built Distribution

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

llm_adapters-8.9.0-py3-none-any.whl (56.1 kB view details)

Uploaded Python 3

File details

Details for the file llm_adapters-8.9.0.tar.gz.

File metadata

  • Download URL: llm_adapters-8.9.0.tar.gz
  • Upload date:
  • Size: 32.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.13.2 Darwin/24.4.0

File hashes

Hashes for llm_adapters-8.9.0.tar.gz
Algorithm Hash digest
SHA256 9e6189b69ca57bdac56c5f3eed89abee8a85e791ccd85930be2ce693533a8217
MD5 73290171dc20877d87fab3c113281605
BLAKE2b-256 d9574692a25734e43bdaec5faecd5529790fa08cc9f1b23b5f5f4ac5aa593f3a

See more details on using hashes here.

File details

Details for the file llm_adapters-8.9.0-py3-none-any.whl.

File metadata

  • Download URL: llm_adapters-8.9.0-py3-none-any.whl
  • Upload date:
  • Size: 56.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.13.2 Darwin/24.4.0

File hashes

Hashes for llm_adapters-8.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d77138370799d9687cffd94a01f516e8a8cc36afad11a61267f120b0f966270e
MD5 fc9166eb02a7af27ed75b3fec23129fe
BLAKE2b-256 26481204c8662d5a7f9315d9ff64825ac3890a793c324e6eff836e5606903274

See more details on using hashes here.

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