lightflow-rig-llm

name	LightFlow RIG LLM
description	Use this skill when working with the lightflow.rig_llm workflow, routing prompts through Rig to OpenAI-compatible APIs, Anthropic, Ollama, OpenRouter, DeepSeek, xAI, or local test providers.
version	0.1.0

LightFlow RIG LLM

Use lightflow.rig_llm to call an arbitrary LLM through LightFlow's RIG-backed runtime.

Workflow

• Workflow id: lightflow.rig_llm
• Required inputs: prompt or text, and model.
• Common inputs: provider, system, preamble, api_key, base_url, temperature, max_tokens, additional_params.
• Outputs: text, response, provider, model.
• Runtime capability: lightflow.llm.generate.
• Node Schema: provider is a select control; temperature and max_tokens expose editor ranges; additional_params is a JSON editor.

Runtime

Run with a LightFlow binary compiled with --features rig. For local contract checks, use provider=mock and any model name. For real providers, prefer environment variables for secrets and pass api_key only for temporary local runs.

Providers

Set provider to one of:

• openai or openai-compatible
• openai-responses
• anthropic
• ollama
• openrouter
• deepseek
• xai
• mock for local tests

api_key and base_url can be passed as workflow inputs. If omitted, LightFlow reads provider-specific environment variables such as OPENAI_API_KEY, OPENAI_BASE_URL, ANTHROPIC_API_KEY, OLLAMA_API_BASE_URL, OPENROUTER_API_KEY, DEEPSEEK_API_KEY, and XAI_API_KEY. LIGHTFLOW_RIG_PROVIDER, LIGHTFLOW_RIG_MODEL, and LIGHTFLOW_RIG_SYSTEM provide defaults.

Examples

Local mock verification:

lfw run lightflow.rig_llm \
  -i provider='"mock"' \
  -i model='"fake-llm"' \
  -i prompt='"hello"'

OpenAI-compatible endpoint:

lfw run lightflow.rig_llm \
  -i provider='"openai-compatible"' \
  -i model='"gpt-4o-mini"' \
  -i prompt='"Write a concise status update."' \
  -i base_url='"https://api.openai.com/v1"'

Ollama:

lfw run lightflow.rig_llm \
  -i provider='"ollama"' \
  -i model='"qwen2.5:14b"' \
  -i prompt='"Summarize this workflow project."'

Validation

lfw node test lightflow.rig_llm

API Usage

Start lfw serve, then call the workflow through the shared HTTP run contract. Adjust inputs to match the workflow contract above.

curl -sS -X POST http://127.0.0.1:5174/workflows/lightflow.rig_llm/run \
  -H 'content-type: application/json' \
  -d '{"inputs":{}}'