#agents

مسودة ترجمة بمساعدة آلية (Arabic) 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.

“مسودة مثال: The agent used tool calling to check the current weather before generating its travel recommendations.”

مسودة ترجمة بمساعدة آلية (Arabic) 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.

“مسودة مثال: The multi-agent pipeline had a planner agent, a coder agent, and a reviewer agent working in sequence.”

مسودة ترجمة بمساعدة آلية (Arabic) 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.

“مسودة مثال: The orchestration layer decided to call the search tool before invoking the summarization agent.”