Add Model

Organization

BerriAI

add-model

Add a new model to a live LiteLLM proxy. Walks the user through picking a provider, entering the deployment name and credentials, calls POST /model/new, then test-calls the model to confirm it routes correctly. Use when the user wants to add, register, deploy, or configure a new model on a LiteLLM proxy instance.

Overview

Publisher	BerriAI
Repository	`litellm-skills`
Skill name	`add-model`
Stars	104
Forks	19
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by BerriAI on GitHub. Read the source before you install it.

Installation

Install the Add Model 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/BerriAI/litellm-skills/tree/main/add-model
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/BerriAI/litellm-skills.git /tmp/litellm-skills
mkdir -p .claude/skills
cp -r /tmp/litellm-skills/add-model .claude/skills/add-model

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

Use it in TypingMind

Enable Add Model 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 Add Model 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 Add Model 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.

Add Model

Add a new LLM to a live LiteLLM proxy.

Setup

Ask for these if not already known:


LITELLM_BASE_URL  — e.g. https://my-proxy.example.com
LITELLM_API_KEY   — proxy admin key

API reference: https://litellm.vercel.app/docs/proxy/model_management

Ask the user

Public model name — what callers will send in "model": "..." (e.g. gpt-4o, my-claude, llama3)
Provider — pick from the table below
Credentials — whatever that provider needs

Provider table

Provider	`litellm_params.model`	Extra params
OpenAI	`openai/gpt-4o`	`api_key`
Azure OpenAI	`azure/<deployment-name>`	`api_key`, `api_base`, `api_version`
Anthropic	`anthropic/claude-3-5-sonnet-20241022`	`api_key`
AWS Bedrock	`bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0`	AWS creds via env
Google Vertex	`vertex_ai/gemini-1.5-pro`	`vertex_project`, `vertex_location`
Ollama	`ollama/llama3`	`api_base` (e.g. `http://localhost:11434`)
Groq	`groq/llama-3.3-70b-versatile`	`api_key`
Together AI	`together_ai/meta-llama/Llama-3-70b`	`api_key`
Mistral	`mistral/mistral-large-latest`	`api_key`

Full list: https://docs.litellm.ai/docs/providers

Run

bash
curl -s -X POST "$BASE/model/new" \
  -H "Authorization: Bearer $KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "<public-name>",
    "litellm_params": {
      "model": "<provider/deployment>",
      "api_key": "<key>",
      "api_base": "<base_if_needed>",
      "api_version": "<version_if_azure>"
    }
  }'

Test it

After adding, verify it routes:

bash
curl -s -X POST "$BASE/chat/completions" \
  -H "Authorization: Bearer $KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "<public-name>",
    "messages": [{"role": "user", "content": "say hi"}],
    "max_tokens": 10
  }'

Output

Show model_id from the response — needed to update or delete the model later. Report pass/fail from the test call.

Frequently asked questions

What does the Add Model AI skill do?

Why use Add Model on TypingMind?

Because you install it once and use it with any model. Add Model 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 Add Model in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BerriAI/litellm-skills/tree/main/add-model. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Model?

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 Add Model?

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

Is the Add Model AI skill free?

Yes. It is published on GitHub by BerriAI 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

Add Model

Setup

Ask the user

Provider table

Run

Test it

Output

Frequently asked questions

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