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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
title: "LLM Task"
---
# 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 OpenClaw 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
openclaw.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).
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