Llm Provider Integration

CommunityPopular

samugit83

llm-provider-integration

Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry. A misrouted model id or a leaked key are the two failures this guards. Trigger: adding or editing an LLM provider; editing parse_model_provider in agentic/orchestrator_helpers/llm_setup.py, the webapp provider-type registry, the user_llm_providers model, or an LLM call site that passes an API key.

Overview

Publisher	samugit83
Repository	`redamon`
Skill name	`llm-provider-integration`
Stars	2.5K
Forks	504
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 samugit83 on GitHub. Read the source before you install it.

Installation

Install the Llm Provider Integration 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.
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/samugit83/redamon.git /tmp/redamon
mkdir -p .claude/skills
cp -r /tmp/redamon/skills/llm-provider-integration .claude/skills/llm-provider-integration

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

Use it in TypingMind

Enable Llm Provider Integration 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 Llm Provider Integration 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 Llm Provider Integration 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.

When to Use

Adding a new LLM provider (OpenAI-compatible or otherwise) the agent can use.

For a non-LLM external API tool, use agentic-tool-integration.

Critical Rules

NEVER let a provider API key reach a scan container. Keys live in exactly two places: Postgres user_llm_providers rows and, in transit, on the wire between webapp and agent. The recon / scan / MCP containers must never see them. Do not thread a provider key through recon settings or container env.
NEVER add a model id that is not prefix-routed. Anything other than claude-* and bare OpenAI ids MUST carry a provider/<model> prefix, resolved by parse_model_provider() at agentic/orchestrator_helpers/llm_setup.py:67. An unprefixed id routes to the wrong provider silently.
ALWAYS register the provider in the webapp provider-type registry and propagate the key kwarg into every LLM call site. A provider registered but not propagated builds a client with no credentials. The guide enumerates all 11 integration points; touch each.

The two invariants

Invariant	Where	Failure if broken
Keys only in Postgres + webapp<->agent transit	webapp/prisma/schema.prisma `user_llm_providers`; agent settings fetch	key leaks into scan/MCP containers
Model id prefix routing	`parse_model_provider()` llm_setup.py:67	model routes to the wrong provider

Commands

bash
docker compose build agent && docker compose up -d agent   # agentic/ is baked
docker compose exec webapp npx prisma db push              # provider schema changes (NEVER prisma migrate)

Resources

docs/readmes/coding_agent_prompts/PROVIDER_INTEGRATION_GUIDELINES.md - the 11 integration points, decision tree, and model-id prefix table
Related skill: agentic-tool-integration

Frequently asked questions

What does the Llm Provider Integration AI skill do?

Why use Llm Provider Integration on TypingMind?

Because you install it once and use it with any model. Llm Provider Integration 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 Llm Provider Integration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samugit83/redamon/tree/master/skills/llm-provider-integration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Llm Provider Integration?

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 Llm Provider Integration?

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

Is the Llm Provider Integration AI skill free?

Yes. It is published on GitHub by samugit83 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.

View all

Ruview Cli Api

ruvnet

CommunityPopular

Use the RuView `wifi-densepose` CLI binary (incl. MAT scan/status/zones/survivors/alerts/export subcommands), the REST API (`wifi-densepose-api`, Axum), and the browser/WASM build…

Mem Search

This skill should be used when the user asks to "search memory", "what do you remember about X", "check claude-mem", "mem search", "find past observations", "what did we do last session", or wants…

Mem Setup

This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync…

Wizard

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

When to Use

Critical Rules

The two invariants

Commands

Resources

Frequently asked questions

Related AI Skills

Set up your own AI workspace now