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LLM Providers

Suitcase supports four provider modes, configured from the Setup dashboard (/setup).

Provider Modes

OpenAI (default)

When LLM_PROVIDER=openai, Suitcase auto-configures task-scoped models:

TaskDefault ModelPurpose
Chatgpt-4oNormal conversation
Fastgpt-4o-miniTriage, lightweight extraction
Trustedgpt-4oApplication generation, reviews, bootstrap
Visiongpt-4oPDF visual review

Base URL defaults to https://api.openai.com/v1.

OpenRouter

Pre-configured with free models from OpenRouter:

TaskDefault Model
Chat / Trusted / Visionmoonshotai/kimi-k2.6 (free)
Fast (triage)google/gemma-4-31b-it:free (free)

Base URL defaults to https://openrouter.ai/api/v1. Kimi K2.6 is currently free — just bring your sk-or-... API key.

OpenAI-compatible

One model for all tasks. Use this for any OpenAI-compatible endpoint.

bash
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://your-endpoint/v1
LLM_MODEL=your-model-name

Anthropic-compatible

One model for all tasks. Use for Anthropic's API or a compatible proxy.

bash
LLM_PROVIDER=anthropic-compatible
LLM_BASE_URL=https://api.anthropic.com
LLM_MODEL=claude-sonnet-4-20250514

Quick Reference

ProviderBase URLMode
OpenAIhttps://api.openai.com/v1openai
OpenRouterhttps://openrouter.ai/api/v1openrouter
Anthropichttps://api.anthropic.comanthropic-compatible
LM Studiohttp://127.0.0.1:1234/v1openai-compatible
Ollamahttp://127.0.0.1:11434/v1openai-compatible
DeepSeekhttps://api.deepseek.com/v1openai-compatible
Groqhttps://api.groq.com/openai/v1openai-compatible
Togetherhttps://api.together.xyz/v1openai-compatible
Customhttps://your-server/v1openai-compatible

Configuration

Configure from the Setup dashboard:

  1. Pick provider mode from the dropdown (OpenAI, OpenRouter, OpenAI-compatible, or Anthropic-compatible)
  2. Base URL and model are auto-filled for OpenAI and OpenRouter
  3. Enter API key
  4. Click Save and verify

Vision Support

For resume PDF visual review, use a model with vision support:

  • OpenAI mode: gpt-4o is used by default (vision-capable)
  • OpenRouter mode: moonshotai/kimi-k2.6 supports vision
  • Compatible modes: configure LLM_VISION_MODEL in .env

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