LLM task

llm-task is an optional plugin tool that runs a JSON-only LLM task and returns structured output (optionally validated against JSON Schema).

This is ideal for workflow engines like Lobster: you can add a single LLM step without writing custom OmeniaClaw code for each workflow.

Enable the plugin

1. Enable the plugin:

{  "plugins": {    "entries": {      "llm-task": { "enabled": true }    }  }}

2. Allow the optional tool:

{  "tools": {    "alsoAllow": ["llm-task"]  }}

Use tools.allow only when you want restrictive allowlist mode.

Config (optional)

{  "plugins": {    "entries": {      "llm-task": {        "enabled": true,        "config": {          "defaultProvider": "openai",          "defaultModel": "gpt-5.5",          "defaultAuthProfileId": "main",          "allowedModels": ["openai/gpt-5.5"],          "maxTokens": 800,          "timeoutMs": 30000        }      }    }  }}

allowedModels is an allowlist of provider/model strings. If set, any request outside the list is rejected.

Tool parameters

• prompt (string, required)
• input (any, optional)
• schema (object, optional JSON Schema)
• provider (string, optional)
• model (string, optional)
• thinking (string, optional)
• authProfileId (string, optional)
• temperature (number, optional)
• maxTokens (number, optional)
• timeoutMs (number, optional)

thinking accepts the standard OmeniaClaw reasoning presets, such as low or medium.

Output

Returns details.json containing the parsed JSON (and validates against schema when provided).

Example: Lobster workflow step

Important limitation

The example below assumes the standalone Lobster CLI is running in an environment where OmeniaClaw.invoke already has the correct gateway URL/auth context.

For the bundled embedded Lobster runner inside OmeniaClaw, this nested CLI pattern is not currently reliable:

OmeniaClaw.invoke --tool llm-task --action json --args-json '{ ... }'

Until embedded Lobster has a supported bridge for this flow, prefer either:

• direct llm-task tool calls outside Lobster, or
• Lobster steps that do not rely on nested OmeniaClaw.invoke calls.

Standalone Lobster CLI example:

OmeniaClaw.invoke --tool llm-task --action json --args-json '{  "prompt": "Given the input email, return intent and draft.",  "thinking": "low",  "input": {    "subject": "Hello",    "body": "Can you help?"  },  "schema": {    "type": "object",    "properties": {      "intent": { "type": "string" },      "draft": { "type": "string" }    },    "required": ["intent", "draft"],    "additionalProperties": false  }}'

Safety notes

• The tool is JSON-only and instructs the model to output only JSON (no code fences, no commentary).
• No tools are exposed to the model for this run.
• Treat output as untrusted unless you validate with schema.
• Put approvals before any side-effecting step (send, post, exec).

Related

• Thinking levels
• Sub-agents
• Slash commands