Change the language model used by a Worker Agent through the agt command-line tool. The controller resolves model settings, regenerates configuration, and recreates the container to apply the change without a manual restart.
Switch a Worker Agent's LLM model via agt CLI. Use when the human admin requests changing a Worker's model.
Review the instructions the agent will receive before you install.
Switch a Worker's LLM model using the agt CLI. The controller handles all details: model parameter resolution, openclaw.json generation, storage push, and container recreation.
agt update worker --name <WORKER_NAME> --model <MODEL_ID>
Examples:
agt update worker --name alice --model claude-sonnet-4-6
agt update worker --name alice --model deepseek-chat
The controller automatically:
spec.modelopenclaw.json and pushes it to storageYou do NOT need to specify context window, reasoning, or any model parameters — the controller knows them.
The CLI prints worker/<name> configured. The controller reconciles the change automatically. No manual restart is needed.
Report the CLI error output to the human admin. Common causes:
If the admin requests a model not in the controller's built-in registry, the controller uses safe defaults (contextWindow=150000, maxTokens=128000, reasoning=true, input=["text"]). If the admin needs specific parameters for an unknown model, they should update the controller's model registry rather than overriding at the skill level.
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Find worker agents in Nacos that match a task, recommend candidates, and import the administrator's chosen worker. It also supports importing a specified nacos package URI, with worker name confirmation and direct reporting of installation failures.
Prepare an existing OpenClaw setup for import as an AgentTeams managed Worker. Analyze tool dependencies, adapt role instructions and scheduled jobs, and build a ZIP package containing the configuration and custom image requirements.
Manage communication channels by identifying senders, maintaining trusted contacts, and setting the administrator's primary notification destination. It also covers first contact on a new channel and contacting the administrator across channels, with rules for handling unknown senders.
Prepare coding tasks for delegation to an authorized agent’s AI command-line tool. Set up and synchronize the workspace, write precise change requests, then review returned changes and run relevant checks before reporting completion.
Run AI coding command-line tools on behalf of worker agents using their prepared prompts and workspaces. Detect available tools, configure delegation, return results, and apply supported execution controls such as time budgets and permission settings.
Guide agent replies in Matrix chat rooms, including when to mention a coordinator, report completion, raise blockers, or answer questions. The rules limit repetitive acknowledgments and stop exchanges that add no new task, question, or decision.