Bridgic Llms

Organization

bitsky-tech

bridgic-llms

LLM provider initialization for bridgic projects. Use when: (1) initializing OpenAILlm, OpenAILikeLlm, or VllmServerLlm, (2) configuring OpenAIConfiguration (model, temperature, max_tokens, timeout), (3) choosing the right provider package for a task, (4) using chat/stream interfaces or advanced protocols (StructuredOutput, ToolSelection).

Overview

Publisher	bitsky-tech
Repository	`AmphiLoop`
Skill name	`bridgic-llms`
Stars	69
Forks	2
Bundled files	5
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by bitsky-tech on GitHub. Read the source before you install it.

Installation

Install the Bridgic Llms AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/bitsky-tech/AmphiLoop/tree/main/skills/bridgic-llms
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/bitsky-tech/AmphiLoop.git /tmp/AmphiLoop
mkdir -p .claude/skills
cp -r /tmp/AmphiLoop/skills/bridgic-llms .claude/skills/bridgic-llms

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bridgic Llms in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bridgic Llms on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bridgic Llms is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bridgic LLMs

Model-neutral LLM integration with protocol-driven capability declaration.

Dependencies

Package	`BaseLlm`	`StructuredOutput`	`ToolSelection`
`bridgic-llms-openai`	yes	yes	yes
`bridgic-llms-openai-like`	yes	no	no
`bridgic-llms-vllm`	yes	yes	yes
`python-dotenv`	—	—	—

Install only the LLM provider package you need. python-dotenv is required for loading .env configuration.

Installation: Run the install script to set up all dependencies:

bash
bash "skills/bridgic-llms/scripts/install-deps.sh" "$PWD" [PROVIDER]

Supported providers: openai (default), openai-like, vllm. The script checks uv availability, initializes a uv project if needed, installs any missing packages via uv add, and runs uv sync to finalize the environment. When it exits successfully the project is fully initialized and ready to use — no manual uv add / uv sync follow-up is required.

Quick Start

python
import os
from dotenv import load_dotenv
from bridgic.llms.openai import OpenAILlm, OpenAIConfiguration

load_dotenv()

llm = OpenAILlm(
    api_key=os.environ.get("LLM_API_KEY"),
    api_base=os.environ.get("LLM_API_BASE"),
    configuration=OpenAIConfiguration(
        model=os.environ.get("LLM_MODEL", "gpt-4o"),
        temperature=0.0,
        max_tokens=16384,
    ),
    timeout=180.0,
)

Provider Selection Guide

Provider	When to Use
`OpenAILlm`	Production use, need structured output or tool calling. Works with OpenAI API.
`OpenAILikeLlm`	Third-party OpenAI-compatible APIs (DashScope, etc.), only need basic chat/stream.
`VllmServerLlm`	Self-hosted vLLM inference server, full capability.

Common pitfall: Do NOT use OpenAILikeLlm when you need structured output or tool selection — it does not implement those protocols. Use OpenAILlm instead.

Basic Interfaces

All providers implement BaseLlm:

python
from bridgic.core.model.types import Message, Role

messages = [
    Message.from_text("You are a helpful assistant.", role=Role.SYSTEM),
    Message.from_text("Hello!", role=Role.USER),
]

# Chat — complete response
response = llm.chat(messages=messages, model="gpt-4o", temperature=0.7)
print(response.message.content)

# Stream — real-time chunks
for chunk in llm.stream(messages=messages, model="gpt-4o"):
    print(chunk.delta, end="", flush=True)

Advanced Protocols

See references/llm-integration.md for:

StructuredOutput — generate Pydantic model instances or JSON schema conformant output
ToolSelection — function/tool calling with Tool definitions
Full code examples for all providers

Reference Files

Scenario	Load
Full API details, all providers, advanced protocols	llm-integration.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bridgic Llms AI skill do?

Why use Bridgic Llms on TypingMind?

Because you install it once and use it with any model. Bridgic Llms is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bridgic Llms in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitsky-tech/AmphiLoop/tree/main/skills/bridgic-llms. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bridgic Llms?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bridgic Llms?

As many as you like. As long as a model supports skills, you can use Bridgic Llms with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bridgic Llms AI skill free?

Yes. It is published on GitHub by bitsky-tech under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Bridgic LLMs

Dependencies

Quick Start

Provider Selection Guide

Basic Interfaces

Advanced Protocols

Reference Files

Bundled files

Frequently asked questions

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