Скачать или смотреть Free Gemini 2.5 Pro API — VS Code me Use kare (Kilo Code / Roo Code / Cline) | 2025 Quick Guide

Free Gemini 2.5 Pro API ko kaise generate karein aur VS Code me Kilo Code / Roo Code / Cline jaise AI agents ke saath free mein use karein — step-by-step, bina confusion ke. Is video me main dikhaunga: Google AI Studio se API key kaise nikalte hain, VS Code extension me kaise setup karte hain, aur model (Gemini 2.5 Pro) kaise select karte hain.

🔥 What you’ll learn
Google AI Studio se Gemini 2.5 Pro API key generate karna
Naya project/create API key flow (copy & paste)
VS Code me Kilo Code (ya Roo Code/Cline) extension me provider aur model set karna
Testing & quick context-calling example (as-code panel)
Tips to improve response/performance

⏱ Chapters / Timestamps
0:00 Intro
0:09 Browser + Google AI Studio open karna
0:33 Consent / account settings (register)
1:02 Get API Key (create API key)
1:22 Create/select project for API key
1:51 API key copy & as-code me test
2:12 VS Code — Kilo Code / Roo Code / Cline select karna
2:36 Google provider + API key paste karna
3:11 Model choose: Gemini 2.5 Pro (performance settings)
4:00 Save profile & start context coding
4:59 Wrap up & tips

⚙️ Quick setup (short)
1. Google AI Studio pe jao → account consent → “Get API Key”/Create API Key → copy key.
2. VS Code me Kilo Code (extension) install karo (ya Roo Code / Cline). :contentReference[oaicite:0]{index=0}
3. Extension settings me provider = Google / Gemini, API key paste karo, model = “2.5 pro” choose karo, performance (max tokens / context) high set karo (jitna extension allow kare).
4. Save → Open as-code / chat window → test prompt bhejo.

⚠️ Note: API endpoint details & limits Google AI Studio dashboard se check karo (console me exact endpoints aur quotas diye honge). Agar tumhara model access nahi dikhe to Google AI Studio ke account/region ya trial-credit check karo.

💡 Pro tips (quick)
API key ko kisi public repo me commit mat karna.
Profiles/contexts chhote rakhkar test karo phir scale up karo.
Agar latency ho rahi ho to model settings me context/window ko adjust karo.


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