What is Agent?Agent kya hai?

🧸 Think of it likeAise samjho

Like a smart assistant you give a goal, not steps: 'book me a cheap train to Pune on Friday'. It searches, compares, checks your calendar and comes back to you before paying.Ek smart assistant jaisa jise aap goal dete ho, steps nahi: 'Friday ko Pune ki sasti train book karo'. Woh search karta hai, compare karta hai, calendar check karta hai aur pay karne se pehle aapse poochta hai.

📘 ExplainedVistaar se

An agent gets a goal and a set of tools (search, database lookup, sending an email). In each turn the model decides which tool to call; your code runs the tool and gives the result back. This suits open ended tasks where the steps aren't known in advance. Because each step costs time and money and can go wrong, agents need limits (max steps, budgets), human approval for risky actions, tracing and evaluation. If the steps are fixed, a simple workflow is better.Agent ko ek goal aur kuch tools milte hain (search, database lookup, email bhejna). Har turn mein model tay karta hai kaunsa tool call karna hai; aapka code tool chalata hai aur result wapas deta hai. Yeh un open ended kaamon ke liye accha hai jinke steps pehle se pata nahi. Har step mein time aur paisa lagta hai aur galti ho sakti hai, isliye agents ko limits (max steps, budget), risky actions pe human approval, tracing aur evaluation chahiye. Steps fixed hon to simple workflow behtar hai.

💡 Real exampleAsli example

A support agent looks up the order, checks the refund policy and drafts a reply for a human to approve.Support agent order dhoondhta hai, refund policy check karta hai aur insaan ke approval ke liye reply draft karta hai.

📖 Learn it step by stepStep by step seekho

• AI agents: plan, act, observe, repeatAI agents: plan, act, observe, repeat
• Tool use (function calling): letting an LLM take actionsTool use (function calling): LLM ko action lene dena

🔗 Related termsJude hue shabd

• Tool callingLetting an LLM request actions or data from your code, like looking up an order or sending an email.LLM ko aapke code se actions ya data maangne dena, jaise order dhoondhna ya email bhejna.
• MCPAn open standard for connecting AI apps to tools and data, like a universal plug.AI apps ko tools aur data se jodne ka open standard, ek universal plug jaisa.
• GuardrailsRules and checks around an AI system that block unsafe, wrong or costly behaviour.AI system ke around rules aur checks jo unsafe, galat ya mehenge behaviour ko rokte hain.
• WorkflowA fixed sequence of steps where some steps call an LLM, as opposed to a free running agent.Steps ka tay kiya sequence jisme kuch steps LLM call karte hain, khule chalne wale agent ke ulat.