Providers & models

Obsilo supports 10 AI providers. This page walks you through setting up each one.

For all providers: open Settings > Obsilo Agent > Models, click "+ add model", and select your provider.

Cloud providers

Anthropic

What you need	API key from console.anthropic.com
Recommended models	Claude Sonnet 4.6 (best overall), Claude Haiku (fast and cheap)
Embedding	Not available natively. Use OpenAI for embeddings.

Setup:

1. Create an account at console.anthropic.com
2. Go to API Keys and create a new key
3. In Obsilo, select Anthropic as provider, paste the key, and pick a model

Best tool use

Anthropic models are consistently the best at using Obsilo's tools correctly. If quality is your priority, start here.

OpenAI

What you need	API key from platform.openai.com
Recommended models	GPT-4o (balanced), o3 (reasoning), GPT-4o-mini (budget)
Embedding	Native support. text-embedding-3-small recommended.

Setup:

1. Create an account at platform.openai.com
2. Go to API Keys and generate a new key
3. In Obsilo, select OpenAI as provider, paste the key, and pick a model

Embedding models

An OpenAI key also gives you access to embedding models for semantic search. Configure in Settings > Embeddings.

OpenRouter

What you need	API key from openrouter.ai
Recommended models	Any. OpenRouter gives access to 100+ models from multiple providers.
Embedding	Not available

Setup:

1. Create an account at openrouter.ai
2. Go to Keys and create a new API key
3. In Obsilo, select OpenRouter as provider, paste the key
4. Browse or type any model ID (e.g., anthropic/claude-sonnet-4.6, google/gemini-2.5-pro)

Azure OpenAI

What you need	Azure subscription, a deployed model, API key, and endpoint URL
Recommended models	GPT-4o (deployed in your Azure region)
Embedding	Native support via deployed embedding model

Setup:

1. Deploy a model in your Azure OpenAI resource
2. Copy the endpoint URL, API key, and deployment name
3. In Obsilo, select Azure OpenAI as provider and fill in all three fields

Enterprise use

Azure OpenAI works well for organizations with compliance requirements. Data stays within your Azure tenant.

Gateway providers

GitHub Copilot

What you need	An active GitHub Copilot subscription (Individual, Business, or Enterprise)
Recommended models	GPT-4o, Claude Sonnet (available through Copilot)
Embedding	Not available

Setup (OAuth device flow):

1. In Obsilo, select GitHub Copilot as provider
2. Click "Sign in with GitHub". A device code appears.
3. Open github.com/login/device in your browser
4. Enter the code and authorize the app
5. Obsilo automatically detects your available models

No extra cost

If you already pay for GitHub Copilot, this costs nothing extra. The models are included in your subscription.

Kilo Gateway

What you need	A Kilo Code account with gateway access
Recommended models	Depends on your organization's available models
Embedding	Not available

Setup (device auth, recommended):

1. In Obsilo, select Kilo Gateway as provider
2. Click "Sign in". A device code and URL appear.
3. Open the URL in your browser, enter the code, and authorize
4. Models are loaded dynamically from your organization

Setup (manual token):

1. Obtain a gateway token from your Kilo Code admin
2. In Obsilo, select Kilo Gateway and choose "Manual Token"
3. Paste the token. Models load automatically.

Local providers

Ollama

What you need	Ollama installed on your machine
Recommended models	Qwen 2.5 7B (balanced), Llama 3.2 (general), Codestral (code)
Embedding	Supported via nomic-embed-text or similar

Setup:

1. Install Ollama from ollama.ai
2. Pull a model: ollama pull qwen2.5:7b
3. In Obsilo, select Ollama as provider. No API key needed.
4. The model list auto-detects running models

Privacy

With Ollama, no data leaves your machine. Good for sensitive vaults.

LM Studio

What you need	LM Studio installed with a model loaded
Recommended models	Any GGUF model from the built-in catalog
Embedding	Supported for compatible models

Setup:

1. Install LM Studio from lmstudio.ai
2. Download a model from the catalog and load it
3. Start the local server (LM Studio > Developer tab)
4. In Obsilo, select LM Studio as provider. No API key needed.

Custom endpoint

What you need	Any OpenAI-compatible API endpoint
Recommended models	Depends on the server
Embedding	Depends on the server

Setup:

1. In Obsilo, select Custom as provider
2. Enter the base URL (e.g., http://localhost:8080/v1)
3. Enter an API key if your server requires one
4. Type the model name exactly as the server expects

This works with any server that implements the OpenAI chat completions API, including vLLM, text-generation-inference, LocalAI, and self-hosted endpoints.

Provider comparison

Provider	Auth	Cost	Privacy	Embedding	Best for
Anthropic	API key	Pay-per-use	Cloud	No	Best quality
OpenAI	API key	Pay-per-use	Cloud	Yes	Structured output, embeddings
OpenRouter	API key	Pay-per-use	Cloud	No	Model variety
Azure OpenAI	API key + endpoint	Enterprise	Enterprise tenant	Yes	Compliance
GitHub Copilot	OAuth	Subscription	Cloud	No	Existing subscribers
Kilo Gateway	Device auth / token	Organization	Cloud	No	Team deployments
Ollama	None	Free	Fully local	Yes	Privacy, offline
LM Studio	None	Free	Fully local	Yes	Visual model browser
Custom	Varies	Varies	Varies	Varies	Self-hosted setups