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, Audio	Thinking, Structured Output	Text, Audio
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