Unverified50% confidenceFactExact time
After a user describes requirements in natural language, the Agent autonomously decides which tools to invoke (such as a code executor, file system, or web search) to complete the task.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedIn this workflow, the Agent automatically writes prompts, creates nodes, and executes generation based on requirements, shifting the creator's role to describing requirements to the Agent and confirming the direction.79% similarUnverifiedUnlike traditional question-answering large language models, Agents possess autonomous loop capabilities, enabling them to proactively call tools, access external data, decompose complex tasks, and iterate continuously until goals are achieved.78% similarVerifiedAgents in Dify invoke external tools via Function Calling or Tool Use mechanisms, and their defining feature is the ability to call tools to complete complex instructions.78% similarUnverifiedAfter the rise of large language models, each Agent possesses natural language understanding and generation capabilities, enabling it to dynamically interpret task instructions and invoke external tools.77% similarVerifiedThe naming, description, and parameter documentation of a tool are the key context for an Agent to decide when to call it, and can be understood as a form of prompt engineering.76% similar
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