Skip to main content

A library that wraps multiple LLM providers into a consistent API while using each provider's native SDK internally, supporting multimodal I/O, file processing, and stream output.

Project description

LLM Bridge

LLM Bridge is a Python library that wraps multiple LLM providers into a consistent API while using each provider's native SDK internally, supporting multimodal I/O, file processing, and stream output.

GitHub: https://github.com/windsnow1025/LLM-Bridge

PyPI: https://pypi.org/project/LLM-Bridge/

Workflow and Features

  1. Chat Client Factory: creates a client for the specific LLM API with model parameters
    1. Model Message Converter: converts general messages to model messages
      1. Media Processor: converts general media to model compatible formats.
  2. Chat Client: generate stream or non-stream responses

Supported Features for API Types

The features listed represent the maximum capabilities of each API type supported by LLM Bridge.

API Type Input Format Capabilities Output Format
OpenAI Completion API Text, Image, PDF Thinking, Structured Output Text
OpenAI Responses API Text, Image, PDF Thinking, Web Search, Code Execution, Structured Output Text, Image
Google GenAI Text, Image, PDF, Audio, Video Thinking, Web Search, Web Fetch, Code Execution, Structured Output Text, Image, File
Anthropic Text, Image, PDF Thinking, Web Search, Web Fetch, Code Execution, Structured Output Text, File
xAI Text, Image, PDF, Audio, Video, docx, xlsx, pptx Thinking, Web Search, Code Execution, Structured Output Text

Development

Python uv

  1. Install uv: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
  2. Install Python in uv: uv python install 3.12; upgrade Python in uv: uv python upgrade 3.12
  3. Configure requirements:
uv sync --refresh

PyCharm

Add New Interpreter >> Add Local Interpreter

  • Environment: Select existing
  • Type: uv

Usage

Copy ./usage/.env.example and rename it to ./usage/.env, then fill in the environment variables.

Build

uv build

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

llm_bridge-2.0.11.tar.gz (131.3 kB view details)

Uploaded Source

Built Distribution

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

llm_bridge-2.0.11-py3-none-any.whl (49.1 kB view details)

Uploaded Python 3

File details

Details for the file llm_bridge-2.0.11.tar.gz.

File metadata

  • Download URL: llm_bridge-2.0.11.tar.gz
  • Upload date:
  • Size: 131.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.28 {"installer":{"name":"uv","version":"0.11.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for llm_bridge-2.0.11.tar.gz
Algorithm Hash digest
SHA256 7f6b0a47b3eebeb3bae0ba38366d34c44dca7c1880396e1868bfd835fb87a458
MD5 1c937aca7bbea9a2f949c10934bda064
BLAKE2b-256 71b7a7bad99f138b43521fdd517af6b0bd46cecc7a812f3e7e6f0366542689c6

See more details on using hashes here.

File details

Details for the file llm_bridge-2.0.11-py3-none-any.whl.

File metadata

  • Download URL: llm_bridge-2.0.11-py3-none-any.whl
  • Upload date:
  • Size: 49.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.28 {"installer":{"name":"uv","version":"0.11.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for llm_bridge-2.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 2189eeefb5eb1b11fdf3df75a371dde1045a97b579cc17f42388f9c2860e7d21
MD5 e04173ae4e277950f6e13ee0dc90dc81
BLAKE2b-256 36027441b0b9db774f6e9ccb445cb2cf95b870dc9aa5599e9a087f6addf3e001

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