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144 lines
5.1 KiB
Markdown
144 lines
5.1 KiB
Markdown
---
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summary: "JSON-only LLM tasks for workflows (optional plugin tool)"
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read_when:
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- You want a JSON-only LLM step inside workflows
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- You need schema-validated LLM output for automation
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title: "LLM task"
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---
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`llm-task` is a bundled **optional plugin tool** that runs a single JSON-only
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LLM call and returns structured output, optionally validated against a JSON
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Schema. It gives workflow engines like Lobster an LLM step without custom
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OpenClaw code per workflow.
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## Enable
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1. Enable the plugin:
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```json
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{
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"plugins": {
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"entries": {
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"llm-task": { "enabled": true }
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}
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}
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}
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```
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2. Allow the tool:
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```json
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{
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"tools": {
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"alsoAllow": ["llm-task"]
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}
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}
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```
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`alsoAllow` adds `llm-task` on top of the active tool profile without
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restricting other core tools. Use `tools.allow` only if you want a restrictive
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allowlist mode instead.
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## Config (optional)
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```json
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{
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"plugins": {
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"entries": {
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"llm-task": {
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"enabled": true,
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"config": {
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"defaultProvider": "openai",
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"defaultModel": "gpt-5.5",
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"defaultAuthProfileId": "main",
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"allowedModels": ["openai/gpt-5.5"],
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"maxTokens": 800,
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"timeoutMs": 30000
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}
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}
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}
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}
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}
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```
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`allowedModels` is an allowlist of `provider/model` strings; a request for any
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other model is rejected. All other keys are per-call fallbacks used when the
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tool call omits that parameter.
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## Tool parameters
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| Parameter | Type | Notes |
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| --------------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------- |
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| `prompt` | string | Required. Task instruction for the LLM. |
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| `input` | any | Optional payload; serialized to JSON and appended to the prompt. |
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| `schema` | object | Optional JSON Schema the parsed output must validate against. |
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| `provider` | string | Overrides `defaultProvider` / the agent's default provider. |
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| `model` | string | Overrides `defaultModel`; accepts bare model ids, aliases, or a `provider/model` ref (a duplicate provider prefix is stripped automatically). |
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| `thinking` | string | Reasoning level (e.g. `low`, `medium`); must be one supported by the resolved model. |
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| `authProfileId` | string | Overrides `defaultAuthProfileId`. |
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| `temperature` | number | Best-effort; not all providers honor it. |
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| `maxTokens` | number | Best-effort cap on output tokens. |
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| `timeoutMs` | number | Run timeout; default `30000`. |
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## Output
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Returns `details.json` (the parsed, schema-validated JSON) plus `details.provider`
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and `details.model` naming what actually ran.
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## Example: Lobster workflow step
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### Important limitation
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The example below assumes the **standalone Lobster CLI** is running where
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`openclaw.invoke` already has the correct gateway URL/auth context.
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For the bundled **embedded** Lobster runner inside OpenClaw, this nested CLI
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pattern is **not currently reliable**:
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```lobster
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openclaw.invoke --tool llm-task --action json --args-json '{ ... }'
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```
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Until embedded Lobster has a supported bridge for this flow, prefer either:
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- direct `llm-task` tool calls outside Lobster, or
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- Lobster steps that do not rely on nested `openclaw.invoke` calls.
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Standalone Lobster CLI example:
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```lobster
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openclaw.invoke --tool llm-task --action json --args-json '{
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"prompt": "Given the input email, return intent and draft.",
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"thinking": "low",
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"input": {
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"subject": "Hello",
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"body": "Can you help?"
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},
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"schema": {
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"type": "object",
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"properties": {
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"intent": { "type": "string" },
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"draft": { "type": "string" }
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},
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"required": ["intent", "draft"],
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"additionalProperties": false
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}
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}'
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```
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## Safety notes
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- **JSON-only**: the model is instructed to return only a JSON value, no code
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fences, no commentary.
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- **No tools**: the underlying run has tools disabled, so the model cannot call
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out mid-task.
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- Treat output as untrusted unless you validate it with `schema`.
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- Put approvals before any side-effecting step (send, post, exec) that consumes
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this output.
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## Related
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- [Thinking levels](/tools/thinking)
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- [Sub-agents](/tools/subagents)
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- [Slash commands](/tools/slash-commands)
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