AI Agent

An AI agent is software in which a model decides what to do next, calls external tools such as search, code execution, or APIs, observes the results, and repeats until the task is done or it stops. A plain chatbot only answers; an agent takes actions.

Why it matters

Agents can automate multi-step work such as triaging alerts, filing tickets, or updating records. Because they act, mistakes have real effects, so permissions, logging, and human approval for risky steps are essential.

Example

A simplified loop:

goal: "Find why checkout is slow"
1. call tool: get_latency_metrics -> p95 up 3x
2. call tool: search_logs("timeout") -> DB errors
3. report findings to a human

Common mistakes

• Granting broad credentials when read-only access would do.
• No step limit or budget, allowing runaway loops and costs.
• Trusting tool results or web content blindly; text in them can try to manipulate the agent (prompt injection).

Related

• Large language model
• Chatbot
• AI alignment
• Rate limiting

यह पेज सामान्य जानकारी है, जिसे हमारी संपादकीय टीम ने लिखा है और दस्तावेज़ीकरण बदलने पर अपडेट किया जाता है। सर्वर और प्रदाता अलग-अलग होते हैं, इसलिए बदलाव पहले सुरक्षित तरीके से जाँचें। देखें: संपादकीय नीति और अस्वीकरण.