llm_configuration

Denario requires API credentials from supported LLM providers to power its multiagent research system. The system is built on AG2 and LangGraph, which support multiple LLM backends.

Skills
Scientific
4

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/llm-configuration && curl -fsSL https://doutorai.pt/data/lib/skills__llm-configuration.md -o .claude/skills/llm-configuration/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# LLM API Configuration

## Overview

Denario requires API credentials from supported LLM providers to power its multiagent research system. The system is built on AG2 and LangGraph, which support multiple LLM backends.

## Supported LLM Providers

### Google Vertex AI
- Full integration with Google's Vertex AI platform
- Supports Gemini and PaLM models
- Requires Google Cloud project setup

### OpenAI
- GPT-4, GPT-3.5, and other OpenAI models
- Direct API integration

### Other Providers
- Any LLM compatible with AG2/LangGraph frameworks
- Anthropic Claude (via compatible interfaces)
- Azure 

- 🔒 Full content on the Pro plan (€7.99/month) -

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