diff --git a/backend/.env.example b/backend/.env.example
index 967c071..5dfbe6f 100644
--- a/backend/.env.example
+++ b/backend/.env.example
@@ -2,7 +2,7 @@
 # Application Settings
 APP_NAME=InPactAI
 
-
+GEMINI_API_KEY=your-gemini-api-key-here
 # Supabase Configuration
 SUPABASE_URL=https://yoursupabaseurl.supabase.co
 SUPABASE_KEY=your-supabase-anon-key-here
diff --git a/backend/app/api/routes/gemini_generate.py b/backend/app/api/routes/gemini_generate.py
new file mode 100644
index 0000000..c8b5093
--- /dev/null
+++ b/backend/app/api/routes/gemini_generate.py
@@ -0,0 +1,39 @@
+import os
+import httpx
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+from app.core.config import settings
+
+
+
+
+
+
+
+router = APIRouter()
+GEMINI_API_KEY = settings.gemini_api_key
+GEMINI_API_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"
+
+class GenerateRequest(BaseModel):
+    prompt: str
+
+@router.post("/generate")
+async def generate_content(request: GenerateRequest):
+    if not GEMINI_API_KEY:
+        raise HTTPException(status_code=500, detail="Gemini API is not configured. Please set GEMINI_API_KEY in environment.")
+    payload = {
+        "contents": [{"role": "user", "parts": [{"text": request.prompt}]}]
+    }
+    headers = {
+        "Content-Type": "application/json",
+    }
+    params = {"key": GEMINI_API_KEY}
+    try:
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(GEMINI_API_URL, json=payload, headers=headers, params=params)
+        response.raise_for_status()
+        return response.json()
+    except httpx.RequestError as e:
+        raise HTTPException(status_code=502, detail=f"Gemini API error: {str(e)}")
+    except httpx.HTTPStatusError as e:
+        raise HTTPException(status_code=502, detail=f"Gemini API error: {str(e)}")
diff --git a/backend/app/core/config.py b/backend/app/core/config.py
index f62c9fe..69d5bfc 100644
--- a/backend/app/core/config.py
+++ b/backend/app/core/config.py
@@ -14,6 +14,7 @@ class Settings(BaseSettings):
     # AI Configuration
     ai_api_key: Optional[str] = None
     groq_api_key: Optional[str] = None
+    gemini_api_key: Optional[str] = None
 
     # CORS Configuration
     allowed_origins: str = "http://localhost:3000"
diff --git a/backend/app/main.py b/backend/app/main.py
index 9445f6a..47a14f2 100644
--- a/backend/app/main.py
+++ b/backend/app/main.py
@@ -4,7 +4,7 @@
 from app.api.routes import health
 from app.services.supabase_client import supabase
 from app.api.routes import auth
-
+from app.api.routes import gemini_generate
 app = FastAPI(title="Inpact Backend", version="0.1.0")
 
 # Verify Supabase client initialization on startup
@@ -27,7 +27,7 @@
     allow_methods=["*"],
     allow_headers=["*"],
 )
-
+app.include_router(gemini_generate.router)
 app.include_router(health.router)
 app.include_router(auth.router)
 
diff --git a/backend/env_example b/backend/env_example
index c726190..6335d97 100644
--- a/backend/env_example
+++ b/backend/env_example
@@ -19,6 +19,10 @@ DATABASE_URL=postgresql://postgres.your-project-ref:[YOUR-PASSWORD]@aws-0-region
 GROQ_API_KEY=your-groq-api-key
 AI_API_KEY=your-openai-api-key-optional
 
+# Gemini API Key (Optional)
+
+GEMINI_API_KEY=your-gemini-api-key-here
+
 # CORS Origins (comma-separated)
 
 ALLOWED_ORIGINS=http://localhost:3000,http://localhost:3001
diff --git a/backend/requirements.txt b/backend/requirements.txt
index 6b66b15..b119657 100644
--- a/backend/requirements.txt
+++ b/backend/requirements.txt
@@ -14,7 +14,7 @@ pydantic==2.12.3
 pydantic-settings>=2.0.3
 pydantic_core==2.41.4
 python-dotenv==1.2.1
-pytokens==0.2.0
+httpx
 ruff==0.14.3
 sniffio==1.3.1
 starlette==0.49.1
diff --git a/frontend/lib/geminiApi.ts b/frontend/lib/geminiApi.ts
new file mode 100644
index 0000000..cb5f91e
--- /dev/null
+++ b/frontend/lib/geminiApi.ts
@@ -0,0 +1,23 @@
+// Gemini text generation API integration
+// Calls backend /generate endpoint securely
+export async function generateGeminiText(prompt: string): Promise<any> {
+  const apiUrl = process.env.NEXT_PUBLIC_API_URL;
+  if (!apiUrl) {
+    throw new Error("NEXT_PUBLIC_API_URL is not set in environment.");
+  }
+  try {
+    const res = await fetch(`${apiUrl}/generate`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({ prompt }),
+    });
+    if (!res.ok) {
+      throw new Error(`Backend error: ${res.status} ${res.statusText}`);
+    }
+    return await res.json();
+  } catch (err: any) {
+    throw new Error(`Gemini API call failed: ${err.message}`);
+  }
+}
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index 6bc0efe..c73e66d 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -8,6 +8,7 @@
       "name": "frontend",
       "version": "0.1.0",
       "dependencies": {
+        "@google/genai": "^1.29.0",
         "@hookform/resolvers": "^5.2.2",
         "@supabase/supabase-js": "^2.78.0",
         "@tanstack/react-query": "^5.90.5",
@@ -488,6 +489,27 @@
         "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
       }
     },
+    "node_modules/@google/genai": {
+      "version": "1.29.0",
+      "resolved": "https://registry.npmjs.org/@google/genai/-/genai-1.29.0.tgz",
+      "integrity": "sha512-cQP7Ssa06W+MSAyVtL/812FBtZDoDehnFObIpK1xo5Uv4XvqBcVZ8OhXgihOIXWn7xvPQGvLclR8+yt3Ysnd9g==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "google-auth-library": "^10.3.0",
+        "ws": "^8.18.0"
+      },
+      "engines": {
+        "node": ">=20.0.0"
+      },
+      "peerDependencies": {
+        "@modelcontextprotocol/sdk": "^1.20.1"
+      },
+      "peerDependenciesMeta": {
+        "@modelcontextprotocol/sdk": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@hookform/resolvers": {
       "version": "5.2.2",
       "resolved": "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-5.2.2.tgz",
@@ -980,6 +1002,23 @@
         "url": "https://opencollective.com/libvips"
       }
     },
+    "node_modules/@isaacs/cliui": {
+      "version": "8.0.2",
+      "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
+      "integrity": "sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==",
+      "license": "ISC",
+      "dependencies": {
+        "string-width": "^5.1.2",
+        "string-width-cjs": "npm:string-width@^4.2.0",
+        "strip-ansi": "^7.0.1",
+        "strip-ansi-cjs": "npm:strip-ansi@^6.0.1",
+        "wrap-ansi": "^8.1.0",
+        "wrap-ansi-cjs": "npm:wrap-ansi@^7.0.0"
+      },
+      "engines": {
+        "node": ">=12"
+      }
+    },
     "node_modules/@jridgewell/gen-mapping": {
       "version": "0.3.13",
       "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.13.tgz",
@@ -1235,6 +1274,16 @@
         "node": ">=12.4.0"
       }
     },
+    "node_modules/@pkgjs/parseargs": {
+      "version": "0.11.0",
+      "resolved": "https://registry.npmjs.org/@pkgjs/parseargs/-/parseargs-0.11.0.tgz",
+      "integrity": "sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==",
+      "license": "MIT",
+      "optional": true,
+      "engines": {
+        "node": ">=14"
+      }
+    },
     "node_modules/@rtsao/scc": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/@rtsao/scc/-/scc-1.1.0.tgz",
@@ -1684,7 +1733,7 @@
       "version": "19.2.2",
       "resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.2.tgz",
       "integrity": "sha512-6mDvHUFSjyT2B2yeNx2nUgMxh9LtOWvkhIU3uePn2I2oyNymUAX1NIsdgviM4CH+JSrp2D2hsMvJOkxY+0wNRA==",
-      "devOptional": true,
+      "dev": true,
       "license": "MIT",
       "dependencies": {
         "csstype": "^3.0.2"
@@ -2302,6 +2351,15 @@
         "acorn": "^6.0.0 || ^7.0.0 || ^8.0.0"
       }
     },
+    "node_modules/agent-base": {
+      "version": "7.1.4",
+      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
+      "integrity": "sha512-MnA+YT8fwfJPgBx3m60MNqakm30XOkyIoH1y6huTQvC0PwZG7ki8NacLBcrPbNoo8vEZy7Jpuk7+jMO+CUovTQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 14"
+      }
+    },
     "node_modules/ajv": {
       "version": "6.12.6",
       "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
@@ -2319,11 +2377,22 @@
         "url": "https://github.com/sponsors/epoberezkin"
       }
     },
+    "node_modules/ansi-regex": {
+      "version": "6.2.2",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.2.2.tgz",
+      "integrity": "sha512-Bq3SmSpyFHaWjPk8If9yc6svM8c56dB5BAtW4Qbw5jHTwwXXcTLoRMkpDJp6VL0XzlWaCHTXrkFURMYmD0sLqg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-regex?sponsor=1"
+      }
+    },
     "node_modules/ansi-styles": {
       "version": "4.3.0",
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
       "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "color-convert": "^2.0.1"
@@ -2586,7 +2655,26 @@
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
       "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==",
-      "dev": true,
+      "license": "MIT"
+    },
+    "node_modules/base64-js": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
+      "integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
       "license": "MIT"
     },
     "node_modules/baseline-browser-mapping": {
@@ -2599,6 +2687,15 @@
         "baseline-browser-mapping": "dist/cli.js"
       }
     },
+    "node_modules/bignumber.js": {
+      "version": "9.3.1",
+      "resolved": "https://registry.npmjs.org/bignumber.js/-/bignumber.js-9.3.1.tgz",
+      "integrity": "sha512-Ko0uX15oIUS7wJ3Rb30Fs6SkVbLmPBAKdlm7q9+ak9bbIeFf0MwuBsQV6z7+X768/cHsfg+WlysDWJcmthjsjQ==",
+      "license": "MIT",
+      "engines": {
+        "node": "*"
+      }
+    },
     "node_modules/brace-expansion": {
       "version": "1.1.12",
       "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz",
@@ -2657,6 +2754,12 @@
         "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7"
       }
     },
+    "node_modules/buffer-equal-constant-time": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/buffer-equal-constant-time/-/buffer-equal-constant-time-1.0.1.tgz",
+      "integrity": "sha512-zRpUiDwd/xk6ADqPMATG8vc9VPrkck7T07OIx0gnjmJAnHnTVXNQG3vfvWNuiZIkwu9KrKdA1iJKfsfTVxE6NA==",
+      "license": "BSD-3-Clause"
+    },
     "node_modules/call-bind": {
       "version": "1.0.8",
       "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.8.tgz",
@@ -2763,7 +2866,6 @@
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
       "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "color-name": "~1.1.4"
@@ -2776,7 +2878,6 @@
       "version": "1.1.4",
       "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
       "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/combined-stream": {
@@ -2809,7 +2910,6 @@
       "version": "7.0.6",
       "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz",
       "integrity": "sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "path-key": "^3.1.0",
@@ -2824,7 +2924,7 @@
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
       "integrity": "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw==",
-      "devOptional": true,
+      "dev": true,
       "license": "MIT"
     },
     "node_modules/damerau-levenshtein": {
@@ -2834,6 +2934,15 @@
       "dev": true,
       "license": "BSD-2-Clause"
     },
+    "node_modules/data-uri-to-buffer": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
+      "integrity": "sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 12"
+      }
+    },
     "node_modules/data-view-buffer": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/data-view-buffer/-/data-view-buffer-1.0.2.tgz",
@@ -2892,7 +3001,6 @@
       "version": "4.4.3",
       "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
       "integrity": "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA==",
-      "dev": true,
       "license": "MIT",
       "dependencies": {
         "ms": "^2.1.3"
@@ -2995,6 +3103,21 @@
         "node": ">= 0.4"
       }
     },
+    "node_modules/eastasianwidth": {
+      "version": "0.2.0",
+      "resolved": "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz",
+      "integrity": "sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA==",
+      "license": "MIT"
+    },
+    "node_modules/ecdsa-sig-formatter": {
+      "version": "1.0.11",
+      "resolved": "https://registry.npmjs.org/ecdsa-sig-formatter/-/ecdsa-sig-formatter-1.0.11.tgz",
+      "integrity": "sha512-nagl3RYrbNv6kQkeJIpt6NJZy8twLB/2vtz6yN9Z4vRKHN4/QZJIEbqohALSgwKdnksuY3k5Addp5lg8sVoVcQ==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "safe-buffer": "^5.0.1"
+      }
+    },
     "node_modules/electron-to-chromium": {
       "version": "1.5.244",
       "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.244.tgz",
@@ -3006,7 +3129,6 @@
       "version": "9.2.2",
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
       "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==",
-      "dev": true,
       "license": "MIT"
     },
     "node_modules/enhanced-resolve": {
@@ -3643,6 +3765,12 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/extend": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/extend/-/extend-3.0.2.tgz",
+      "integrity": "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g==",
+      "license": "MIT"
+    },
     "node_modules/fast-deep-equal": {
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz",
@@ -3704,6 +3832,29 @@
         "reusify": "^1.0.4"
       }
     },
+    "node_modules/fetch-blob": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/fetch-blob/-/fetch-blob-3.2.0.tgz",
+      "integrity": "sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "paypal",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "license": "MIT",
+      "dependencies": {
+        "node-domexception": "^1.0.0",
+        "web-streams-polyfill": "^3.0.3"
+      },
+      "engines": {
+        "node": "^12.20 || >= 14.13"
+      }
+    },
     "node_modules/file-entry-cache": {
       "version": "8.0.0",
       "resolved": "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-8.0.0.tgz",
@@ -3804,6 +3955,22 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/foreground-child": {
+      "version": "3.3.1",
+      "resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.3.1.tgz",
+      "integrity": "sha512-gIXjKqtFuWEgzFRJA9WCQeSJLZDjgJUOMCMzxtvFq/37KojM1BFGufqsCy0r4qSQmYLsZYMeyRqzIWOMup03sw==",
+      "license": "ISC",
+      "dependencies": {
+        "cross-spawn": "^7.0.6",
+        "signal-exit": "^4.0.1"
+      },
+      "engines": {
+        "node": ">=14"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
     "node_modules/form-data": {
       "version": "4.0.4",
       "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.4.tgz",
@@ -3820,6 +3987,18 @@
         "node": ">= 6"
       }
     },
+    "node_modules/formdata-polyfill": {
+      "version": "4.0.10",
+      "resolved": "https://registry.npmjs.org/formdata-polyfill/-/formdata-polyfill-4.0.10.tgz",
+      "integrity": "sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==",
+      "license": "MIT",
+      "dependencies": {
+        "fetch-blob": "^3.1.2"
+      },
+      "engines": {
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+      "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==",
+      "license": "MIT",
+      "dependencies": {
+        "eastasianwidth": "^0.2.0",
+        "emoji-regex": "^9.2.2",
+        "strip-ansi": "^7.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/string-width-cjs": {
+      "name": "string-width",
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
+      "license": "MIT",
+      "dependencies": {
+        "emoji-regex": "^8.0.0",
+        "is-fullwidth-code-point": "^3.0.0",
+        "strip-ansi": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/string-width-cjs/node_modules/ansi-regex": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+      "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/string-width-cjs/node_modules/emoji-regex": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
+      "license": "MIT"
+    },
+    "node_modules/string-width-cjs/node_modules/strip-ansi": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-regex": "^5.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
     "node_modules/string.prototype.includes": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/string.prototype.includes/-/string.prototype.includes-2.0.1.tgz",
@@ -6271,6 +6806,43 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/strip-ansi": {
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.2.tgz",
+      "integrity": "sha512-gmBGslpoQJtgnMAvOVqGZpEz9dyoKTCzy2nfz/n8aIFhN/jCE/rCmcxabB6jOOHV+0WNnylOxaxBQPSvcWklhA==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-regex": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/strip-ansi?sponsor=1"
+      }
+    },
+    "node_modules/strip-ansi-cjs": {
+      "name": "strip-ansi",
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-regex": "^5.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/strip-ansi-cjs/node_modules/ansi-regex": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+      "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=8"
+      }
+    },
     "node_modules/strip-bom": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/strip-bom/-/strip-bom-3.0.0.tgz",
@@ -6706,6 +7278,15 @@
         "punycode": "^2.1.0"
       }
     },
+    "node_modules/web-streams-polyfill": {
+      "version": "3.3.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 8"
+      }
+    },
     "node_modules/webidl-conversions": {
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
@@ -6726,7 +7307,6 @@
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
       "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
-      "dev": true,
       "license": "ISC",
       "dependencies": {
         "isexe": "^2.0.0"
@@ -6837,6 +7417,94 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/wrap-ansi": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
+      "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-styles": "^6.1.0",
+        "string-width": "^5.0.1",
+        "strip-ansi": "^7.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs": {
+      "name": "wrap-ansi",
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+      "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-styles": "^4.0.0",
+        "string-width": "^4.1.0",
+        "strip-ansi": "^6.0.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/ansi-regex": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+      "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/emoji-regex": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
+      "license": "MIT"
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/string-width": {
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
+      "license": "MIT",
+      "dependencies": {
+        "emoji-regex": "^8.0.0",
+        "is-fullwidth-code-point": "^3.0.0",
+        "strip-ansi": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-regex": "^5.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrap-ansi/node_modules/ansi-styles": {
+      "version": "6.2.3",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.3.tgz",
+      "integrity": "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+      }
+    },
     "node_modules/ws": {
       "version": "8.18.3",
       "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz",
diff --git a/guides/summaries/GEMINI_API_IMPLEMENTATION_GUIDE.md b/guides/summaries/GEMINI_API_IMPLEMENTATION_GUIDE.md
new file mode 100644
index 0000000..6b4e317
--- /dev/null
+++ b/guides/summaries/GEMINI_API_IMPLEMENTATION_GUIDE.md
@@ -0,0 +1,95 @@
+# Gemini API Integration Guide for InPactAI
+
+## Overview
+
+This guide explains how Gemini API integration is implemented in the InPactAI project, including backend and frontend setup, security best practices, and step-by-step instructions for future use.
+
+---
+
+## Implementation Summary
+
+### 1. Backend (Python/FastAPI)
+
+- **API Route:** `/generate` (POST)
+- **File:** `backend/app/api/routes/gemini_generate.py`
+- **Functionality:** Accepts a JSON body with a `prompt` string, calls the Gemini REST API using the API key from environment, and returns the response as JSON.
+- **Security:** The Gemini API key is stored in `backend/.env` and loaded via Pydantic `Settings` (`gemini_api_key`). It is **never** exposed to the frontend.
+- **Router Inclusion:** The Gemini router is included in `backend/app/main.py` using `app.include_router(gemini_generate.router)`.
+
+### 2. Frontend (Next.js/TypeScript)
+
+- **API Call Function:** `frontend/lib/geminiApi.ts`
+- **Functionality:** Calls the backend `/generate` endpoint using the API URL from `NEXT_PUBLIC_API_URL` in `.env`. Accepts a prompt and returns the backend response.
+- **Security:** The frontend never accesses the Gemini API key directly.
+
+---
+
+## How to Use Gemini API in This Project
+
+### Backend Usage
+
+1. **Add your Gemini API key** to `backend/.env`:
+   ```
+   GEMINI_API_KEY="your-gemini-api-key"
+   ```
+2. **Access the key in code** via Pydantic Settings:
+   ```python
+   from app.core.config import settings
+   GEMINI_API_KEY = settings.gemini_api_key
+   ```
+3. **Call the Gemini REST API** using Python's `requests`:
+   ```python
+   response = requests.post(
+       "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent",
+       json={"contents": [{"role": "user", "parts": [{"text": prompt}]}]},
+       headers={"Content-Type": "application/json"},
+       params={"key": GEMINI_API_KEY},
+       timeout=30
+   )
+   result = response.json()
+   ```
+4. **Never expose the API key to the frontend.**
+
+### Frontend Usage
+
+1. **Set the backend API URL** in `frontend/.env`:
+   ```
+   NEXT_PUBLIC_API_URL="http://localhost:8000"
+   ```
+2. **Use the provided function** in `frontend/lib/geminiApi.ts`:
+   ```typescript
+   import { generateGeminiText } from "./lib/geminiApi";
+   const result = await generateGeminiText("Your prompt here");
+   ```
+3. **Do not use the Gemini API key in frontend code.**
+
+---
+
+## Security Best Practices
+
+- Store secrets only in backend `.env` files.
+- Use Pydantic Settings for environment variable management.
+- Only call Gemini API from backend code.
+- Frontend communicates with backend via secure endpoints.
+
+---
+
+## Troubleshooting
+
+- If requests hang, check your API key, network, and backend logs.
+- Ensure all required Python packages are installed: `fastapi`, `requests`, `pydantic-settings`.
+- Confirm routers are included in `main.py`.
+
+---
+
+## References
+
+- [Gemini REST API Docs](https://ai.google.dev/gemini-api/docs)
+- [Pydantic Settings](https://docs.pydantic.dev/latest/concepts/settings/)
+- [FastAPI Docs](https://fastapi.tiangolo.com/)
+
+---
+
+## Contact
+
+For questions or improvements, contact the InPactAI maintainers.
diff --git a/guides/summaries/Gemini_codegen_guide b/guides/summaries/Gemini_codegen_guide
new file mode 100644
index 0000000..18edc2e
--- /dev/null
+++ b/guides/summaries/Gemini_codegen_guide
@@ -0,0 +1,679 @@
+# Gemini API Coding Guidelines (JavaScript/TypeScript)
+
+You are a Gemini API coding expert. Help me with writing code using the Gemini
+API calling the official libraries and SDKs.
+
+Please follow the following guidelines when generating code.
+
+You can find the official SDK documentation and code samples here:
+https://googleapis.github.io/js-genai/
+
+## Golden Rule: Use the Correct and Current SDK
+
+Always use the Google Gen AI SDK to call the Gemini models, which is the
+standard library for all Gemini API interactions. Do not use legacy libraries
+and SDKs.
+
+-   **Library Name:** Google Gen AI SDK
+-   **NPM Package:** `@google/genai`
+-   **Legacy Libraries**: (`@google/generative-ai`) are deprecated
+
+**Installation:**
+
+-   **Incorrect:** `npm install @google/generative-ai`
+-   **Incorrect:** `npm install @google-ai/generativelanguage`
+-   **Correct:** `npm install @google/genai`
+
+**APIs and Usage:**
+
+-   **Incorrect:** `const { GenerativeModel } =
+    require('@google/generative-ai')` -> **Correct:** `import { GoogleGenAI }
+    from '@google/genai'`
+-   **Incorrect:** `const model = genai.getGenerativeModel(...)` -> **Correct:**
+    `const ai = new GoogleGenAI({apiKey: "..."})`
+-   **Incorrect:** `await model.generateContent(...)` -> **Correct:** `await
+    ai.models.generateContent(...)`
+-   **Incorrect:** `await model.generateContentStream(...)` -> **Correct:**
+    `await ai.models.generateContentStream(...)`
+-   **Incorrect:** `const generationConfig = { ... }` -> **Correct:** Pass
+    configuration directly: `config: { safetySettings: [...] }`
+-   **Incorrect** `GoogleGenerativeAI`
+-   **Incorrect** `google.generativeai`
+-   **Incorrect** `models.create`
+-   **Incorrect** `ai.models.create`
+-   **Incorrect** `models.getGenerativeModel`
+-   **Incorrect** `ai.models.getModel`
+-   **Incorrect** `ai.models['model_name']`
+-   **Incorrect** `generationConfig`
+-   **Incorrect** `GoogleGenAIError` -> **Correct** `ApiError`
+-   **Incorrect** `GenerateContentResult` -> **Correct**
+    `GenerateContentResponse`.
+-   **Incorrect** `GenerateContentRequest` -> **Correct**
+    `GenerateContentParameters`
+
+## Initialization and API key
+
+The `@google/genai` library requires creating a `GoogleGenAI` instance for all
+API calls.
+
+-   Always use `const ai = new GoogleGenAI({})` to create an instance.
+-   Set the `GEMINI_API_KEY` environment variable, which will be picked up
+    automatically in Node.js environments.
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+
+// Uses the GEMINI_API_KEY environment variable if apiKey not specified
+const ai = new GoogleGenAI({});
+
+// Or pass the API key directly
+// const ai = new GoogleGenAI({apiKey: process.env.GEMINI_API_KEY});
+```
+
+## Models
+
+-   By default, use the following models when using `google-genai`:
+    -   **General Text & Multimodal Tasks:** `gemini-2.5-flash`
+    -   **Coding and Complex Reasoning Tasks:** `gemini-2.5-pro`
+    -   **Image Generation Tasks:** `imagen-4.0-fast-generate-001`,
+        `imagen-4.0-generate-001` or `imagen-4.0-ultra-generate-001`
+    -   **Image Editing Tasks:** `gemini-2.5-flash-image-preview`
+    -   **Video Generation Tasks:** `veo-3.0-fast-generate-preview` or
+        `veo-3.0-generate-preview`.
+
+-   It is also acceptable to use the following model if explicitly requested by
+    the user:
+    -   **Gemini 2.0 Series**: `gemini-2.0-flash`, `gemini-2.0-pro`
+
+-   Do not use the following deprecated models (or their variants like
+    `gemini-1.5-flash-latest`):
+    -   **Prohibited:** `gemini-1.5-flash`
+    -   **Prohibited:** `gemini-1.5-pro`
+    -   **Prohibited:** `gemini-pro`
+
+## Basic Inference (Text Generation)
+
+Here's how to generate a response from a text prompt.
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+
+const ai = new GoogleGenAI({}); // Assumes GEMINI_API_KEY is set
+
+async function run() {
+  const response = await ai.models.generateContent({
+    model: 'gemini-2.5-flash',
+    contents: 'why is the sky blue?',
+  });
+
+  console.log(response.text); // output is often markdown
+}
+
+run();
+```
+
+Multimodal inputs are supported by passing file data in the `contents` array.
+
+```javascript
+import { GoogleGenAI, Part } from '@google/genai';
+import * as fs from 'fs';
+
+const ai = new GoogleGenAI({});
+
+// Converts local file information to a Part object.
+function fileToGenerativePart(path, mimeType): Part {
+  return {
+    inlineData: {
+      data: Buffer.from(fs.readFileSync(path)).toString("base64"),
+      mimeType
+    },
+  };
+}
+
+async function run() {
+    const imagePart = fileToGenerativePart("path/to/image.jpg", "image/jpeg");
+
+    const response = await ai.models.generateContent({
+        model: 'gemini-2.5-flash',
+        contents: [imagePart, "explain that image"],
+    });
+
+    console.log(response.text); // The output often is markdown
+}
+
+run();
+```
+
+You can use this approach to pass a variety of data types (images, audio, video,
+pdf). For PDF, use `application/pdf` as `mimeType`.
+
+For larger files, use `ai.files.upload`:
+
+```javascript
+import { GoogleGenAI, createPartFromUri, createUserContent } from '@google/genai';
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const f = await ai.files.upload({
+        file: 'path/to/sample.mp3',
+        config:{mimeType: 'audio/mp3'},
+    });
+
+    const response = await ai.models.generateContent({
+        model: 'gemini-2.5-flash',
+         contents: createUserContent([
+          createPartFromUri(f.uri, f.mimeType),
+          "Describe this audio clip"
+        ])
+    });
+
+    console.log(response.text);
+}
+
+run();
+```
+
+You can delete files after use like this:
+
+```javascript
+const myFile = await ai.files.upload({file: 'path/to/sample.mp3', mimeType: 'audio/mp3'});
+await ai.files.delete({name: myFile.name});
+```
+
+## Additional Capabilities and Configurations
+
+Below are examples of advanced configurations.
+
+### Thinking
+
+Gemini 2.5 series models support thinking, which is on by default for
+`gemini-2.5-flash`. It can be adjusted by using `thinking_budget` setting.
+Setting it to zero turns thinking off, and will reduce latency.
+
+```javascript
+import { GoogleGenAI } from "@google/genai";
+
+const ai = new GoogleGenAI({});
+
+async function main() {
+  const response = await ai.models.generateContent({
+    model: "gemini-2.5-pro",
+    contents: "Provide a list of 3 famous physicists and their key contributions",
+    config: {
+      thinkingConfig: {
+        thinkingBudget: 1024,
+        // Turn off thinking:
+        // thinkingBudget: 0
+        // Turn on dynamic thinking:
+        // thinkingBudget: -1
+      },
+    },
+  });
+
+  console.log(response.text);
+}
+
+main();
+```
+
+IMPORTANT NOTES:
+
+-   Minimum thinking budget for `gemini-2.5-pro` is `128` and thinking can not
+    be turned off for that model.
+-   No models (apart from Gemini 2.5 series) support thinking or thinking
+    budgets APIs. Do not try to adjust thinking budgets other models (such as
+    `gemini-2.0-flash` or `gemini-2.0-pro`) otherwise it will cause syntax
+    errors.
+
+### System instructions
+
+Use system instructions to guide the model's behavior.
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const response = await ai.models.generateContent({
+        model: 'gemini-2.5-flash',
+        contents: "Hello.",
+        config: {
+            systemInstruction: "You are a pirate",
+        }
+    });
+    console.log(response.text);
+}
+run();
+```
+
+### Hyperparameters
+
+You can also set `temperature` or `maxOutputTokens` within the `config` object.
+**Avoid** setting `maxOutputTokens`, `topP`, `topK` unless explicitly requested
+by the user.
+
+### Safety configurations
+
+Avoid setting safety configurations unless explicitly requested by the user. If
+explicitly asked for by the user, here is a sample API:
+
+```javascript
+import { GoogleGenAI, HarmCategory, HarmBlockThreshold, Part } from '@google/genai';
+import * as fs from 'fs';
+
+const ai = new GoogleGenAI({});
+
+function fileToGenerativePart(path, mimeType): Part {
+  return {
+    inlineData: {
+      data: Buffer.from(fs.readFileSync(path)).toString("base64"),
+      mimeType
+    },
+  };
+}
+
+async function run() {
+    const img = fileToGenerativePart("/path/to/img.jpg", "image/jpeg");
+    const response = await ai.models.generateContent({
+        model: "gemini-2.5-flash",
+        contents: ['Do these look store-bought or homemade?', img],
+        config: {
+            safetySettings: [
+                {
+                    category: HarmCategory.HARM_CATEGORY_HATE_SPEECH,
+                    threshold: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
+                },
+            ]
+        }
+    });
+    console.log(response.text);
+}
+run();
+```
+
+### Streaming
+
+It is possible to stream responses to reduce user perceived latency:
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+const ai = new GoogleGenAI({});
+
+async function run() {
+  const responseStream = await ai.models.generateContentStream({
+    model: "gemini-2.5-flash",
+    contents: ["Explain how AI works"],
+  });
+
+  for await (const chunk of responseStream) {
+    process.stdout.write(chunk.text);
+  }
+  console.log(); // for a final newline
+}
+run();
+```
+
+### Chat
+
+For multi-turn conversations, use the `chats` service to maintain conversation
+history.
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const chat = ai.chats.create({model: "gemini-2.5-flash"});
+
+    let response = await chat.sendMessage({message:"I have 2 dogs in my house."});
+    console.log(response.text);
+
+    response = await chat.sendMessage({message: "How many paws are in my house?"});
+    console.log(response.text);
+
+    const history = await chat.getHistory();
+    for (const message of history) {
+        console.log(`role - ${message.role}: ${message.parts[0].text}`);
+    }
+}
+run();
+``` It is also possible to use streaming with Chat:
+
+```javascript
+    const chat = ai.chats.create({model: "gemini-2.5-flash"});
+    const stream = await chat.sendMessageStream({message:"I have 2 dogs in my house."});
+    for await (const chunk of stream) {
+      console.log(chunk.text);
+      console.log("_".repeat(80));
+    }
+```
+
+Note: ai.chats.create({model}) returns `Chat` under `@google/genai` which tracks
+the session.
+
+### Structured outputs
+
+Ask the model to return a response in JSON format.
+
+The recommended way is to configure a `responseSchema` for the expected output.
+
+See the available types below that can be used in the `responseSchema`.
+
+```javascript
+export enum Type {
+  /**
+   *   Not specified, should not be used.
+   */
+  TYPE_UNSPECIFIED = 'TYPE_UNSPECIFIED',
+  /**
+   *   OpenAPI string type
+   */
+  STRING = 'STRING',
+  /**
+   *   OpenAPI number type
+   */
+  NUMBER = 'NUMBER',
+  /**
+   *   OpenAPI integer type
+   */
+  INTEGER = 'INTEGER',
+  /**
+   *   OpenAPI boolean type
+   */
+  BOOLEAN = 'BOOLEAN',
+  /**
+   *   OpenAPI array type
+   */
+  ARRAY = 'ARRAY',
+  /**
+   *   OpenAPI object type
+   */
+  OBJECT = 'OBJECT',
+  /**
+   *   Null type
+   */
+  NULL = 'NULL',
+}
+```
+
+`Type.OBJECT` cannot be empty; it must contain other properties.
+
+```javascript
+import { GoogleGenAI, Type } from "@google/genai";
+
+const ai = new GoogleGenAI({});
+const response = await ai.models.generateContent({
+   model: "gemini-2.5-flash",
+   contents: "List a few popular cookie recipes, and include the amounts of ingredients.",
+   config: {
+     responseMimeType: "application/json",
+     responseSchema: {
+        type: Type.ARRAY,
+        items: {
+          type: Type.OBJECT,
+          properties: {
+            recipeName: {
+              type: Type.STRING,
+              description: 'The name of the recipe.',
+            },
+            ingredients: {
+              type: Type.ARRAY,
+              items: {
+                type: Type.STRING,
+              },
+              description: 'The ingredients for the recipe.',
+            },
+          },
+          propertyOrdering: ["recipeName", "ingredients"],
+        },
+      },
+   },
+});
+
+let jsonStr = response.text.trim();
+```
+
+The `jsonStr` might look like this:
+
+```javascript
+[
+  {
+    "recipeName": "Chocolate Chip Cookies",
+    "ingredients": [
+      "1 cup (2 sticks) unsalted butter, softened",
+      "3/4 cup granulated sugar",
+      "3/4 cup packed brown sugar",
+      "1 teaspoon vanilla extract",
+      "2 large eggs",
+      "2 1/4 cups all-purpose flour",
+      "1 teaspoon baking soda",
+      "1 teaspoon salt",
+      "2 cups chocolate chips"
+    ]
+  },
+  ...
+]
+```
+
+#### Function Calling (Tools)
+
+You can provide the model with tools (functions) it can use to bring in external
+information to answer a question or act on a request outside the model.
+
+```javascript
+import {GoogleGenAI, FunctionDeclaration, Type} from '@google/genai';
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const controlLightDeclaration = {
+        name: 'controlLight',
+        parameters: {
+          type: Type.OBJECT,
+          description: 'Set brightness and color temperature of a light.',
+          properties: {
+            brightness: { type: Type.NUMBER, description: 'Light level from 0 to 100.' },
+            colorTemperature: { type: Type.STRING, description: '`daylight`, `cool`, or `warm`.'},
+          },
+          required: ['brightness', 'colorTemperature'],
+        },
+    };
+
+    const response = await ai.models.generateContent({
+        model: 'gemini-2.5-flash',
+        contents: 'Dim the lights so the room feels cozy and warm.',
+        config: {
+            tools: [{functionDeclarations: [controlLightDeclaration]}]
+        }
+    });
+
+    if (response.functionCalls) {
+        console.log(response.functionCalls);
+        // In a real app, you would execute the function and send the result back.
+    }
+}
+run();
+```
+
+### Generate Images
+
+Here's how to generate images using the Imagen models.
+
+```javascript
+import { GoogleGenAI } from "@google/genai";
+
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const response = await ai.models.generateImages({
+        model: 'imagen-4.0-fast-generate-001',
+        prompt: 'A friendly robot holding a red skateboard, minimalist vector art',
+        config: {
+          numberOfImages: 1, // 1 to 4 (always 1 for the ultra model)
+          outputMimeType: 'image/jpeg',
+          aspectRatio: '1:1', // "1:1", "3:4", "4:3", "9:16", or "16:9"
+        },
+    });
+
+    const base64ImageBytes = response.generatedImages[0].image.imageBytes;
+    // This can be used directly in an <img> src attribute
+    const imageUrl = `data:image/jpeg;base64,${base64ImageBytes}`;
+    console.log(imageUrl);
+}
+run();
+```
+
+Note: Do not include negativePrompts in config, it's not supported.
+
+### Edit Images
+
+Editing images is better done using the Gemini native image generation model.
+Configs are not supported in this model (except modality).
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+
+const ai = new GoogleGenAI({});
+
+const response = await ai.models.generateContent({
+  model: 'gemini-2.5-flash-image-preview',
+  contents: [imagePart, 'koala eating a nano banana']
+});
+for (const part of response.candidates[0].content.parts) {
+  if (part.inlineData) {
+    const base64ImageBytes: string = part.inlineData.data;
+    const imageUrl = `data:image/png;base64,${base64ImageBytes}`;
+  }
+}
+```
+
+### Generate Videos
+
+Here's how to generate videos using the Veo models. Usage of Veo can be costly,
+so after generating code for it, give user a heads up to check pricing for Veo.
+
+```javascript
+import { GoogleGenAI } from "@google/genai";
+import { createWriteStream } from "fs";
+import { Readable } from "stream";
+
+const ai = new GoogleGenAI({});
+
+async function main() {
+  let operation = await ai.models.generateVideos({
+    model: "veo-3.0-fast-generate-preview",
+    prompt: "Panning wide shot of a calico kitten sleeping in the sunshine",
+    config: {
+      personGeneration: "dont_allow",
+      aspectRatio: "16:9",
+    },
+  });
+
+  while (!operation.done) {
+    await new Promise((resolve) => setTimeout(resolve, 10000));
+    operation = await ai.operations.getVideosOperation({
+      operation: operation,
+    });
+  }
+
+  operation.response?.generatedVideos?.forEach(async (generatedVideo, n) => {
+    const resp = await fetch(`${generatedVideo.video?.uri}&key=GEMINI_API_KEY`); // append your API key
+    const writer = createWriteStream(`video${n}.mp4`);
+    Readable.fromWeb(resp.body).pipe(writer);
+  });
+}
+
+main();
+```
+
+### Search Grounding
+
+Google Search can be used as a tool for grounding queries that with up to date
+information from the web.
+
+```javascript
+import { GoogleGenAI } from "@google/genai";
+
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const response = await ai.models.generateContent({
+       model: "gemini-2.5-flash",
+       contents: "Who won the latest F1 race?",
+       config: {
+         tools: [{googleSearch: {}}],
+       },
+    });
+
+    console.log("Response:", response.text);
+
+    // Extract and display grounding URLs
+    const searchChunks = response.candidates?.[0]?.groundingMetadata?.groundingChunks;
+    if (searchChunks) {
+        const urls = searchChunks.map(chunk => chunk.web.uri);
+        console.log("Sources:", urls);
+    }
+}
+run();
+```
+
+### Content and Part Hierarchy
+
+While the simpler API call is often sufficient, you may run into scenarios where
+you need to work directly with the underlying `Content` and `Part` objects for
+more explicit control. These are the fundamental building blocks of the
+`generateContent` API.
+
+For instance, the following simple API call:
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const response = await ai.models.generateContent({
+        model: "gemini-2.5-flash",
+        contents: "How does AI work?",
+    });
+    console.log(response.text);
+}
+run();
+```
+
+is effectively a shorthand for this more explicit structure:
+
+```javascript
+import { GoogleGenAI } from '@google/genai';
+const ai = new GoogleGenAI({});
+
+async function run() {
+    const response = await ai.models.generateContent({
+        model: "gemini-2.5-flash",
+        contents: [
+            { role: "user", parts: [{ text: "How does AI work?" }] },
+        ],
+    });
+    console.log(response.text);
+}
+run();
+```
+
+## API Errors
+
+`ApiError` from `@google/genai` extends from EcmaScript `Error` and has
+`message`, `name` fields in addition to `status` (HTTP Code).
+
+## Other APIs
+
+The list of APIs and capabilities above are not comprehensive. If users ask you
+to generate code for a capability not provided above, refer them to
+https://googleapis.github.io/js-genai/.
+
+## Useful Links
+
+-   Documentation: ai.google.dev/gemini-api/docs
+-   API Keys and Authentication: ai.google.dev/gemini-api/docs/api-key
+-   Models: ai.google.dev/models
+-   API Pricing: ai.google.dev/pricing
+-   Rate Limits: ai.google.dev/rate-limits