Providers

Remind supports multiple LLM and embedding providers. You need one of each — an LLM for consolidation and an embedding provider for retrieval.

Provider matrix

Provider	LLM	Embeddings	API key required
Anthropic	Yes	No	Yes
OpenAI	Yes	Yes	Yes
Azure OpenAI	Yes	Yes	Yes
Ollama	Yes	Yes	No (local)

Anthropic

LLM only. Pair with OpenAI or Ollama for embeddings.

Config file

{
  "llm_provider": "anthropic",
  "embedding_provider": "openai",
  "anthropic": {
    "api_key": "sk-ant-...",
    "model": "claude-sonnet-4-20250514"
  }
}

Environment

ANTHROPIC_API_KEY=sk-ant-...
LLM_PROVIDER=anthropic
EMBEDDING_PROVIDER=openai

Setting	Default
api_key	—
model	claude-sonnet-4-20250514

OpenAI

LLM and embeddings.

Config file

{
  "llm_provider": "openai",
  "embedding_provider": "openai",
  "openai": {
    "api_key": "sk-...",
    "model": "gpt-4.1",
    "embedding_model": "text-embedding-3-small"
  }
}

Environment

OPENAI_API_KEY=sk-...
LLM_PROVIDER=openai
EMBEDDING_PROVIDER=openai

Setting	Default
api_key	—
base_url	null (OpenAI default)
model	gpt-4.1
embedding_model	text-embedding-3-small

Azure OpenAI

LLM and embeddings via Azure.

Config file

{
  "llm_provider": "azure_openai",
  "embedding_provider": "azure_openai",
  "azure_openai": {
    "api_key": "...",
    "base_url": "https://your-resource.openai.azure.com",
    "api_version": "2024-02-15-preview",
    "deployment_name": "gpt-4",
    "embedding_deployment_name": "text-embedding-3-small",
    "embedding_size": 1536
  }
}

Environment

AZURE_OPENAI_API_KEY=...
AZURE_OPENAI_API_BASE_URL=https://your-resource.openai.azure.com
AZURE_OPENAI_API_VERSION=2024-02-15-preview
AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-3-small
LLM_PROVIDER=azure_openai
EMBEDDING_PROVIDER=azure_openai

Setting	Default
api_key	—
base_url	—
api_version	—
deployment_name	—
embedding_deployment_name	—
embedding_size	1536

Ollama (local)

Fully local, no API keys. Install Ollama first:

ollama pull llama3.2           # LLM
ollama pull nomic-embed-text   # Embeddings

Config file

{
  "llm_provider": "ollama",
  "embedding_provider": "ollama",
  "ollama": {
    "url": "http://localhost:11434",
    "llm_model": "llama3.2",
    "embedding_model": "nomic-embed-text"
  }
}

Environment

OLLAMA_URL=http://localhost:11434
OLLAMA_LLM_MODEL=llama3.2
OLLAMA_EMBEDDING_MODEL=nomic-embed-text
LLM_PROVIDER=ollama
EMBEDDING_PROVIDER=ollama

Setting	Default
url	http://localhost:11434
llm_model	llama3.2
embedding_model	nomic-embed-text

Mixing providers

You can use different providers for LLM and embeddings:

{
  "llm_provider": "anthropic",
  "embedding_provider": "openai"
}

Common combos:

• Anthropic LLM + OpenAI embeddings — Best consolidation quality + fast embeddings
• OpenAI for both — Simplest setup, single API key
• Ollama for both — Fully local, no API keys, no data leaves your machine
• Anthropic LLM + Ollama embeddings — Quality consolidation, local embeddings