2.5 KiB
2.5 KiB
summary, read_when
| summary | read_when | ||
|---|---|---|---|
| JSON-only LLM tasks for workflows (optional plugin tool) |
|
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 Clawdbot code for each workflow.
Enable the plugin
- Enable the plugin:
{
"plugins": {
"entries": {
"llm-task": { "enabled": true }
}
}
}
- Allowlist the tool (it is registered with
optional: true):
{
"agents": {
"list": [
{
"id": "main",
"tools": { "allow": ["llm-task"] }
}
]
}
}
Config (optional)
{
"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
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).