Pemikiran Gemini

from google import genai  client = genai.Client(api_key="GOOGLE_API_KEY") prompt = "Explain the concept of Occam's Razor and provide a simple, everyday example." response = client.models.generate_content(     model="gemini-2.5-pro",     contents=prompt )  print(response.text) 

import { GoogleGenAI } from "@google/genai";  const ai = new GoogleGenAI({ apiKey: "GOOGLE_API_KEY" });  async function main() {   const prompt = "Explain the concept of Occam's Razor and provide a simple, everyday example.";    const response = await ai.models.generateContent({     model: "gemini-2.5-pro",     contents: prompt,   });    console.log(response.text); }  main(); 

// import packages here  func main() {   ctx := context.Background()   client, err := genai.NewClient(ctx, option.WithAPIKey(os.Getenv("GOOGLE_API_KEY")))   if err != nil {     log.Fatal(err)   }   defer client.Close()    model := client.GenerativeModel("gemini-2.5-pro")   resp, err := model.GenerateContent(ctx, genai.Text("Explain the concept of Occam's Razor and provide a simple, everyday example."))   if err != nil {     log.Fatal(err)   }   fmt.Println(resp.Text()) } 

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro:generateContent?key=$GOOGLE_API_KEY" \  -H 'Content-Type: application/json' \  -X POST \  -d '{    "contents": [      {        "parts": [          {            "text": "Explain the concept of Occam\''s Razor and provide a simple, everyday example."          }        ]      }    ]  }'  ``` 

from google import genai from google.genai import types  client = genai.Client()  response = client.models.generate_content(     model="gemini-2.5-pro",     contents="Provide a list of 3 famous physicists and their key contributions",     config=types.GenerateContentConfig(         thinking_config=types.ThinkingConfig(thinking_budget=1024)     ), )  print(response.text) 

import { GoogleGenAI } from "@google/genai";  const ai = new GoogleGenAI({ apiKey: "GOOGLE_API_KEY" });  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,       },     },   });    console.log(response.text); }  main(); 

package main  import (   "context"   "fmt"   "google.golang.org/genai"   "os" )  func main() {   ctx := context.Background()   client, _ := genai.NewClient(ctx, &genai.ClientConfig{     APIKey:  os.Getenv("GOOGLE_API_KEY"),     Backend: genai.BackendGeminiAPI,   })    thinkingBudgetVal := int32(1024)    contents := genai.Text("Provide a list of 3 famous physicists and their key contributions")   model := "gemini-2.5-pro"   resp, _ := client.Models.GenerateContent(ctx, model, contents, &genai.GenerateContentConfig{     ThinkingConfig: &genai.ThinkingConfig{       ThinkingBudget: &thinkingBudgetVal,     },   })  fmt.Println(resp.Text()) } 

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro:generateContent?key=$GOOGLE_API_KEY" \ -H 'Content-Type: application/json' \ -X POST \ -d '{   "contents": [     {       "parts": [         {           "text": "Provide a list of 3 famous physicists and their key contributions"         }       ]     }   ],   "generationConfig": {     "thinkingConfig": {           "thinkingBudget": 1024     }   } }' 

from google import genai from google.genai import types  client = genai.Client(api_key="GOOGLE_API_KEY") prompt = "What is the sum of the first 50 prime numbers?" response = client.models.generate_content(   model="gemini-2.5-pro",   contents=prompt,   config=types.GenerateContentConfig(     thinking_config=types.ThinkingConfig(       include_thoughts=True     )   ) )  for part in response.candidates[0].content.parts:   if not part.text:     continue   if part.thought:     print("Thought summary:")     print(part.text)     print()   else:     print("Answer:")     print(part.text)     print() 

import { GoogleGenAI } from "@google/genai";  const ai = new GoogleGenAI({ apiKey: "GOOGLE_API_KEY" });  async function main() {   const response = await ai.models.generateContent({     model: "gemini-2.5-pro",     contents: "What is the sum of the first 50 prime numbers?",     config: {       thinkingConfig: {         includeThoughts: true,       },     },   });    for (const part of response.candidates[0].content.parts) {     if (!part.text) {       continue;     }     else if (part.thought) {       console.log("Thoughts summary:");       console.log(part.text);     }     else {       console.log("Answer:");       console.log(part.text);     }   } }  main(); 

package main  import (   "context"   "fmt"   "google.golang.org/genai"   "os" )  func main() {   ctx := context.Background()   client, _ := genai.NewClient(ctx, &genai.ClientConfig{     APIKey:  os.Getenv("GOOGLE_API_KEY"),     Backend: genai.BackendGeminiAPI,   })    contents := genai.Text("What is the sum of the first 50 prime numbers?")   model := "gemini-2.5-pro"   resp, _ := client.Models.GenerateContent(ctx, model, contents, &genai.GenerateContentConfig{     ThinkingConfig: &genai.ThinkingConfig{       IncludeThoughts: true,     },   })    for _, part := range resp.Candidates[0].Content.Parts {     if part.Text != "" {       if part.Thought {         fmt.Println("Thoughts Summary:")         fmt.Println(part.Text)       } else {         fmt.Println("Answer:")         fmt.Println(part.Text)       }     }   } } 

from google import genai from google.genai import types  client = genai.Client(api_key="GOOGLE_API_KEY")  prompt = """ Alice, Bob, and Carol each live in a different house on the same street: red, green, and blue. The person who lives in the red house owns a cat. Bob does not live in the green house. Carol owns a dog. The green house is to the left of the red house. Alice does not own a cat. Who lives in each house, and what pet do they own? """  thoughts = "" answer = ""  for chunk in client.models.generate_content_stream(     model="gemini-2.5-pro",     contents=prompt,     config=types.GenerateContentConfig(       thinking_config=types.ThinkingConfig(         include_thoughts=True       )     ) ):   for part in chunk.candidates[0].content.parts:     if not part.text:       continue     elif part.thought:       if not thoughts:         print("Thoughts summary:")       print(part.text)       thoughts += part.text     else:       if not answer:         print("Thoughts summary:")       print(part.text)       answer += part.text 

import { GoogleGenAI } from "@google/genai";  const ai = new GoogleGenAI({ apiKey: "GOOGLE_API_KEY" });  const prompt = `Alice, Bob, and Carol each live in a different house on the same street: red, green, and blue. The person who lives in the red house owns a cat. Bob does not live in the green house. Carol owns a dog. The green house is to the left of the red house. Alice does not own a cat. Who lives in each house, and what pet do they own?`;  let thoughts = ""; let answer = "";  async function main() {   const response = await ai.models.generateContentStream({     model: "gemini-2.5-pro",     contents: prompt,     config: {       thinkingConfig: {         includeThoughts: true,       },     },   });    for await (const chunk of response) {     for (const part of chunk.candidates[0].content.parts) {       if (!part.text) {         continue;       } else if (part.thought) {         if (!thoughts) {           console.log("Thoughts summary:");         }         console.log(part.text);         thoughts = thoughts + part.text;       } else {         if (!answer) {           console.log("Answer:");         }         console.log(part.text);         answer = answer + part.text;       }     }   } }  await main(); 

# ... print("Thoughts tokens:",response.usage_metadata.thoughts_token_count) print("Output tokens:",response.usage_metadata.candidates_token_count) 

// ... console.log(`Thoughts tokens: ${response.usageMetadata.thoughtsTokenCount}`); console.log(`Output tokens: ${response.usageMetadata.candidatesTokenCount}`); 

// ... usageMetadata, err := json.MarshalIndent(response.UsageMetadata, "", "  ") if err != nil {   log.Fatal(err) } fmt.Println("Thoughts tokens:", string(usageMetadata.thoughts_token_count)) fmt.Println("Output tokens:", string(usageMetadata.candidates_token_count))