Write practical Agent configurations for the multi-agent app. Use when the user asks for Agent names, descriptions, system prompts, tool tags, output formats, or model choices.
Quellsprache: Englisch
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Write practical Agent configurations for the multi-agent app. Use when the user asks for Agent names, descriptions, system prompts, tool tags, output formats, or model choices.
Quellsprache: Englisch
Diagnose failed canvas nodes in the multi-agent app. Use when a node, tool call, model call, file read/write, Python service, or workflow run fails and the user wants a practical explanation and next step.
Quellsprache: Englisch
Advise model/provider choices for the multi-agent app. Use when the user asks which LLM to use for long documents, images, reasoning, low cost, speed, or fallback routing.
Quellsprache: Englisch
Generate and review custom Python tools for the multi-agent app. Use when built-in tools do not cover a task and the user wants a new tool, or when failure diagnosis suggests a missing tool/library.
Quellsprache: Englisch
Plan canvas workflows for the multi-agent desktop app. Use when the user wants to design, explain, or improve a canvas made of Agent nodes, tool nodes, gate nodes, and data flow connections.
Quellsprache: Englisch