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| summary: "JSON-only LLM tasks for workflows (optional plugin tool)" | |
| read_when: | |
| - You want a JSON-only LLM step inside workflows | |
| - You need schema-validated LLM output for automation | |
| # 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 Moltbot code for each workflow. | |
| ## Enable the plugin | |
| 1) Enable the plugin: | |
| ```json | |
| { | |
| "plugins": { | |
| "entries": { | |
| "llm-task": { "enabled": true } | |
| } | |
| } | |
| } | |
| ``` | |
| 2) Allowlist the tool (it is registered with `optional: true`): | |
| ```json | |
| { | |
| "agents": { | |
| "list": [ | |
| { | |
| "id": "main", | |
| "tools": { "allow": ["llm-task"] } | |
| } | |
| ] | |
| } | |
| } | |
| ``` | |
| ## Config (optional) | |
| ```json | |
| { | |
| "plugins": { | |
| "entries": { | |
| "llm-task": { | |
| "enabled": true, | |
| "config": { | |
| "defaultProvider": "openai-codex", | |
| "defaultModel": "gpt-5.2", | |
| "defaultAuthProfileId": "main", | |
| "allowedModels": ["openai-codex/gpt-5.2"], | |
| "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) | |
| - `authProfileId` (string, optional) | |
| - `temperature` (number, optional) | |
| - `maxTokens` (number, optional) | |
| - `timeoutMs` (number, optional) | |
| ## Output | |
| Returns `details.json` containing the parsed JSON (and validates against | |
| `schema` when provided). | |
| ## Example: Lobster workflow step | |
| ```lobster | |
| clawd.invoke --tool llm-task --action json --args-json '{ | |
| "prompt": "Given the input email, return intent and draft.", | |
| "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). | |