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ce67ffb70e
* feat: add isolated pure-inference completion * fix(google): block ambient system prompt writes * docs: refresh generated map
178 lines
7.1 KiB
Markdown
178 lines
7.1 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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"llm": {
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"allowModelOverride": true,
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"allowedCompletionModels": ["openai/gpt-5.6-sol"],
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"allowAuthProfileOverride": true
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},
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"config": {
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"defaultProvider": "openai",
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"defaultModel": "gpt-5.6-sol",
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"defaultAuthProfileId": "main",
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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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The `llm` block is host-owned authorization. `allowedCompletionModels` restricts every
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completion, so include the resolved agent default as well as any override targets.
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`allowAuthProfileOverride` permits `defaultAuthProfileId` and the per-call
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`authProfileId` parameter. The `config` keys are selection defaults used when a
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tool call omits the corresponding parameter.
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Run `openclaw doctor --fix` once for llm-task entries created by older releases.
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Doctor grants the shipped model/profile selection permissions and moves any
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legacy `config.allowedModels` value into `llm.allowedCompletionModels` without widening it.
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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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Each call starts a fresh prompt-only inference operation. It does not reuse the
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calling agent's transcript or native runtime session, run agent lifecycle hooks,
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or deliver model output to a channel. OpenClaw uses the selected provider,
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model, auth profile, and runtime exactly once; it does not fall back to another
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route when that owner cannot provide a literal zero-tool call.
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A selected agent harness must implement isolated completion. Otherwise the call
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fails before inference with a `does not support isolated completion` error.
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This fail-closed behavior prevents a JSON task from silently becoming a normal
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tool-capable agent turn.
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CLI runtimes must provide the equivalent isolated preparation guarantee. The
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bundled Claude and Gemini CLI runtimes do; a different CLI runtime that has not
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adopted this internal contract fails before its process starts.
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Gemini CLI isolated completion supports Gemini API-key and Vertex auth. Google
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OAuth and compute/Code Assist auth are rejected because managed-account policy
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can add administrator-required tools after local CLI settings are loaded.
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Gemini prompts containing native `@path` includes or a leading `/command` also
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fail before inference because Gemini CLI has no literal raw-input mode.
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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 selected runtime must expose a literal empty model-callable
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tool surface. OpenClaw rejects tool-shaped results instead of treating them as
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task output.
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- **Isolated**: the run has no agent transcript, session reuse, lifecycle hooks,
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channel delivery, or provider fallback.
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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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