The Models Registry connects LLM providers to the Alquimia Runtime. Each entry tells the Runtime which provider class to use, what model to call, and how to authenticate.Documentation Index
Fetch the complete documentation index at: https://docs.alquimia.ai/llms.txt
Use this file to discover all available pages before exploring further.
Adding a model
Click Add Model and fill in the form:| Field | Description |
|---|---|
| Name | Display name shown in the agent creation wizard (e.g., “Claude Sonnet”, “GPT-4o”) |
| Provider | The LangChain integration class the Runtime uses. Determines the API format. |
| Model ID | The exact identifier used by the provider API (e.g., claude-sonnet-4-20250514, gpt-4o) |
| API Key | Your provider API key. Stored as a secret automatically. |
| Base URL | Optional. Override the default API endpoint. |
Supported providers
| Provider | Example Model IDs |
|---|---|
anthropic | claude-sonnet-4-20250514, claude-haiku-4-5-20251001 |
openai | gpt-4o, gpt-4o-mini, o1-preview |
groq | llama-3.3-70b-versatile, mixtral-8x7b-32768 |
google | gemini-1.5-pro, gemini-1.5-flash |
mistral | mistral-large-latest, mistral-small-latest |
cohere | command-r-plus, command-r |
meta | meta-llama/Llama-3.3-70B-Instruct |
API keys become secrets
When you save a model with an API key, Studio automatically:- Stores the key in the Registry secrets store with a name based on the provider (e.g.,
ANTHROPIC_API_KEY) - Replaces the raw key in the model config with
$ANTHROPIC_API_KEY
Base URL use cases
The Base URL field lets you use:- OpenAI-compatible proxies
- Local endpoints — Ollama (
http://localhost:11434/v1), LM Studio - Custom deployments — self-hosted vLLM, TGI
Next steps
Creating an Agent
Once you have a model, you’re ready to create your first agent.