Configure Models & Auth

proto connects to any OpenAI-compatible, Anthropic, or Gemini API endpoint. This guide covers how to add providers, set API keys, and switch models at runtime.

Quickest setup — one file

Put everything in ~/.proto/settings.json:

{
  "modelProviders": {
    "openai": [
      {
        "id": "gpt-4o",
        "name": "GPT-4o",
        "baseUrl": "https://api.openai.com/v1",
        "envKey": "OPENAI_API_KEY"
      }
    ]
  },
  "env": {
    "OPENAI_API_KEY": "sk-..."
  },
  "security": {
    "auth": { "selectedType": "openai" }
  },
  "model": { "name": "gpt-4o" }
}

Then run proto — no interactive auth setup needed.

WARNING

Do not commit API keys to version control. Prefer shell export or .proto/.env over the env field for sensitive secrets.

Supported protocols

Protocol key	API format	Example providers
openai	OpenAI-compatible	OpenAI, Azure, OpenRouter, Ollama, vLLM, LM Studio
anthropic	Anthropic	Claude
gemini	Google GenAI	Gemini

Configure multiple providers

{
  "modelProviders": {
    "openai": [
      {
        "id": "gpt-4o",
        "name": "GPT-4o",
        "envKey": "OPENAI_API_KEY",
        "baseUrl": "https://api.openai.com/v1"
      }
    ],
    "anthropic": [
      {
        "id": "claude-sonnet-4-20250514",
        "name": "Claude Sonnet 4",
        "envKey": "ANTHROPIC_API_KEY"
      }
    ],
    "gemini": [
      {
        "id": "gemini-2.5-pro",
        "name": "Gemini 2.5 Pro",
        "envKey": "GEMINI_API_KEY"
      }
    ]
  }
}

Set API keys

Keys are resolved in this order (first match wins):

1. Shell environment (export OPENAI_API_KEY=...)
2. .proto/.env or .env file (project or home directory)
3. settings.json → env field (lowest priority)

Shell profile (recommended):

export OPENAI_API_KEY="sk-..."
export ANTHROPIC_API_KEY="sk-ant-..."
export GEMINI_API_KEY="AIza..."

.proto/.env file:

OPENAI_API_KEY=sk-...

Add .proto/.env to .gitignore.

Connect a local model

Use the openai protocol with a local baseUrl:

{
  "modelProviders": {
    "openai": [
      {
        "id": "llama3",
        "name": "Llama 3 (Ollama)",
        "envKey": "OLLAMA_API_KEY",
        "baseUrl": "http://localhost:11434/v1"
      }
    ]
  },
  "env": { "OLLAMA_API_KEY": "ollama" }
}

Works with Ollama, vLLM, LM Studio, and any other OpenAI-compatible local server.

Switch models at runtime

Inside a proto session:

/model

The picker shows all configured models grouped by protocol. Your selection persists across sessions.

From the command line:

proto --model gpt-4o

generationConfig — fine-tune a model

Each model entry accepts an optional generationConfig:

{
  "id": "gpt-4o",
  "envKey": "OPENAI_API_KEY",
  "generationConfig": {
    "timeout": 60000,
    "maxRetries": 3,
    "samplingParams": {
      "temperature": 0.2,
      "max_tokens": 4096
    }
  }
}

The provider's generationConfig is applied atomically — it is not merged with global settings. See Reference → Model Providers for the full field reference.

Authentication commands

Command	What it does
/auth	Interactive auth setup inside a session
proto auth	Interactive auth from the terminal
proto auth status	Show current auth configuration

Troubleshooting

• Model not appearing in /model picker — check that the authType key in modelProviders is exactly openai, anthropic, or gemini. Typos are silently skipped.
• API key not found — run echo $YOUR_ENV_KEY to confirm the variable is set in the same shell that runs proto.
• Duplicate model IDs — if two entries share the same id under one authType, the first wins. Use distinct IDs.

See Reference → Model Providers for the full schema.