#agents

機械支援の翻訳下書き (Japanese) for "Tool Calling": A capability that allows language models to invoke external functions, APIs, or services during generation. The model decides when to call a tool, formats the call arguments as JSON, receives the result, and incorporates it into its response — enabling real-world action beyond text generation.

“例文の下書き: The agent used tool calling to check the current weather before generating its travel recommendations.”

機械支援の翻訳下書き (Japanese) for "Multi-Agent": Describing a system architecture where multiple AI agents collaborate, delegate, or compete to accomplish a shared goal. Multi-agent systems can parallelize work, specialize roles, and check each other's outputs, enabling tasks too complex for a single agent context window.

“例文の下書き: The multi-agent pipeline had a planner agent, a coder agent, and a reviewer agent working in sequence.”

機械支援の翻訳下書き (Japanese) for "Orchestration": The coordination and sequencing of multiple AI agents, services, or steps in an automated workflow. An orchestrator determines which tools to invoke, in what order, and how to pass outputs between steps to complete a complex task end-to-end.

“例文の下書き: The orchestration layer decided to call the search tool before invoking the summarization agent.”