singularity-forge/gitbook/configuration/providers.md

Provider Setup

Step-by-step setup instructions for every LLM provider GSD supports. If you ran the onboarding wizard (gsd config) and picked a provider, you may already be configured — check with /model inside a session.

Quick Reference

Provider	Auth Method	Environment Variable
Anthropic	OAuth or API key	ANTHROPIC_API_KEY
OpenAI	API key	OPENAI_API_KEY
Google Gemini	API key	GEMINI_API_KEY
OpenRouter	API key	OPENROUTER_API_KEY
Groq	API key	GROQ_API_KEY
xAI (Grok)	API key	XAI_API_KEY
Mistral	API key	MISTRAL_API_KEY
GitHub Copilot	OAuth	GH_TOKEN
Amazon Bedrock	IAM credentials	AWS_PROFILE or AWS_ACCESS_KEY_ID
Vertex AI	ADC	GOOGLE_APPLICATION_CREDENTIALS
Azure OpenAI	API key	AZURE_OPENAI_API_KEY
Ollama	None (local)	—
LM Studio	None (local)	—
vLLM / SGLang	None (local)	—

Built-in Providers

Anthropic (Claude)

Recommended. Anthropic models have the deepest integration: built-in web search, extended thinking, and prompt caching.

Option A — Browser sign-in (recommended):

gsd config
# Choose "Sign in with your browser" → "Anthropic (Claude)"

Or inside a session: /login

Option B — API key:

export ANTHROPIC_API_KEY="sk-ant-..."

OpenAI

export OPENAI_API_KEY="sk-..."

Or run gsd config and choose "Paste an API key" then "OpenAI".

Google Gemini

export GEMINI_API_KEY="..."

OpenRouter

OpenRouter aggregates 200+ models from multiple providers behind a single API key.

1. Get a key at openrouter.ai/keys
2. Set it:

   export OPENROUTER_API_KEY="sk-or-..."
   

3. In GSD, type /model to select an OpenRouter model (prefixed with openrouter/)

To add models not in the built-in list, add them to ~/.gsd/agent/models.json. See Custom Models.

Groq

export GROQ_API_KEY="gsk_..."

xAI (Grok)

export XAI_API_KEY="xai-..."

Mistral

export MISTRAL_API_KEY="..."

GitHub Copilot

Uses OAuth — sign in through the browser:

gsd config
# Choose "Sign in with your browser" → "GitHub Copilot"

Requires an active GitHub Copilot subscription.

Amazon Bedrock

Bedrock uses AWS IAM credentials:

# Named profile
export AWS_PROFILE="my-profile"

# Or IAM keys
export AWS_ACCESS_KEY_ID="AKIA..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_REGION="us-east-1"

# Or bearer token
export AWS_BEARER_TOKEN_BEDROCK="..."

ECS task roles and IRSA (Kubernetes) are also detected automatically.

Anthropic on Vertex AI

gcloud auth application-default login
export ANTHROPIC_VERTEX_PROJECT_ID="my-project-id"

Azure OpenAI

export AZURE_OPENAI_API_KEY="..."

Local Providers

Local providers run on your machine. They require a models.json configuration file at ~/.gsd/agent/models.json because GSD needs to know the endpoint URL and available models.

The file reloads each time you open /model — no restart needed.

Ollama

1. Install and start Ollama:

   brew install ollama
   ollama serve
   

2. Pull a model:

   ollama pull llama3.1:8b
   

3. Create ~/.gsd/agent/models.json:

   {
     "providers": {
       "ollama": {
         "baseUrl": "http://localhost:11434/v1",
         "api": "openai-completions",
         "apiKey": "ollama",
         "compat": {
           "supportsDeveloperRole": false,
           "supportsReasoningEffort": false
         },
         "models": [
           { "id": "llama3.1:8b" }
         ]
       }
     }
   }
   

4. In GSD, type /model and select your Ollama model.

LM Studio

1. Install LM Studio
2. Go to "Local Server" tab, load a model, click "Start Server" (default port 1234)
3. Create ~/.gsd/agent/models.json:

   {
     "providers": {
       "lm-studio": {
         "baseUrl": "http://localhost:1234/v1",
         "api": "openai-completions",
         "apiKey": "lm-studio",
         "compat": {
           "supportsDeveloperRole": false,
           "supportsReasoningEffort": false
         },
         "models": [
           { "id": "your-model-name" }
         ]
       }
     }
   }
   

vLLM

{
  "providers": {
    "vllm": {
      "baseUrl": "http://localhost:8000/v1",
      "api": "openai-completions",
      "apiKey": "vllm",
      "compat": {
        "supportsDeveloperRole": false,
        "supportsReasoningEffort": false,
        "supportsUsageInStreaming": false
      },
      "models": [
        { "id": "meta-llama/Llama-3.1-8B-Instruct" }
      ]
    }
  }
}

SGLang

{
  "providers": {
    "sglang": {
      "baseUrl": "http://localhost:30000/v1",
      "api": "openai-completions",
      "apiKey": "sglang",
      "compat": {
        "supportsDeveloperRole": false,
        "supportsReasoningEffort": false
      },
      "models": [
        { "id": "meta-llama/Llama-3.1-8B-Instruct" }
      ]
    }
  }
}

Custom OpenAI-Compatible Endpoints

Any server that implements the OpenAI Chat Completions API can work with GSD — proxies (LiteLLM, Portkey, Helicone), self-hosted inference, new providers.

Quickest path:

gsd config
# Choose "Paste an API key" → "Custom (OpenAI-compatible)"
# Enter: base URL, API key, model ID

This writes ~/.gsd/agent/models.json for you. See Custom Models for manual setup.

Verifying Your Setup

1. Launch GSD: gsd
2. Check available models: /model
3. Select your model from the picker
4. Send a test message to confirm it responds

If the model doesn't appear, check:

• The environment variable is set in the current shell
• models.json is valid JSON
• The server is running (for local providers)

Common Issues

Problem	Cause	Fix
"Authentication failed" with valid key	Key not visible to GSD	Export in the same terminal, or save via gsd config
OpenRouter models not in /model	No API key set	Set OPENROUTER_API_KEY and restart
Ollama returns empty responses	Server not running or model not pulled	Run ollama serve and ollama pull <model>
LM Studio model ID mismatch	ID doesn't match server	Check LM Studio's server tab for the exact identifier
developer role error	Local server doesn't support it	Set compat.supportsDeveloperRole: false
stream_options error	Server doesn't support streaming usage	Set compat.supportsUsageInStreaming: false
Cost shows $0.00	Default for custom models	Add cost field to model definition