टोकन को समझें और उनकी गिनती करें

# This will only work for SDK newer than 2.0.0
from google import genai

client = genai.Client()
prompt = "The quick brown fox jumps over the lazy dog."

# Count tokens before sending
total_tokens = client.models.count_tokens(
    model="gemini-3.8-flash",
    contents=prompt
)
print("total_tokens:", total_tokens.total_tokens)

# Get usage from interaction
interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input=prompt
)
print(interaction.usage)

// This will only work for SDK newer than 2.0.0
import { GoogleGenAI } from '@google/genai';

const client = new GoogleGenAI({});
const prompt = "The quick brown fox jumps over the lazy dog.";

// Count tokens before sending
const countResponse = await client.models.countTokens({
    model: "gemini-3.8-flash",
    contents: prompt,
});
console.log(countResponse.totalTokens);

// Get usage from interaction
const interaction = await client.interactions.create({
    model: "gemini-3.8-flash",
    input: prompt,
});
console.log(interaction.usage);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.CreateModelInteraction;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.Model;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import com.google.genai.types.CountTokensResponse;

Client client = new Client();
String prompt = "The quick brown fox jumps over the lazy dog.";

// Count tokens before sending
CountTokensResponse countResponse =
    client.models.countTokens("gemini-3.8-flash", prompt, null);
System.out.println("total_tokens: " + countResponse.totalTokens().orElse(0));

// Get usage from interaction
CreateModelInteraction params =
    CreateModelInteraction.builder()
        .model(Model.of("gemini-3.8-flash"))
        .input(InteractionsInput.of(prompt))
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
System.out.println(interaction.usage().orElse(null));

# Specifies the API revision to avoid breaking changes when they become default
curl -X POST "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash:countTokens" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"contents": [{"parts": [{"text": "The quick brown fox."}]}]}'

# This will only work for SDK newer than 2.0.0
# First interaction
interaction1 = client.interactions.create(
    model="gemini-3.8-flash",
    input="Hi, my name is Bob"
)

# Second interaction continues the conversation
interaction2 = client.interactions.create(
    model="gemini-3.8-flash",
    input="What's my name?",
    previous_interaction_id=interaction1.id
)

# Usage includes tokens from both turns
print(f"Input tokens: {interaction2.usage.total_input_tokens}")
print(f"Output tokens: {interaction2.usage.total_output_tokens}")
print(f"Total tokens: {interaction2.usage.total_tokens}")

// This will only work for SDK newer than 2.0.0
// First interaction
const interaction1 = await client.interactions.create({
    model: "gemini-3.8-flash",
    input: "Hi, my name is Bob"
});

// Second interaction continues the conversation
const interaction2 = await client.interactions.create({
    model: "gemini-3.8-flash",
    input: "What's my name?",
    previous_interaction_id: interaction1.id
});

console.log(`Input tokens: ${interaction2.usage.total_input_tokens}`);
console.log(`Output tokens: ${interaction2.usage.total_output_tokens}`);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.CreateModelInteraction;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.Model;
import com.google.genai.gaos.models.interactions.Usage;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;

Client client = new Client();

// First interaction
CreateModelInteraction params1 =
    CreateModelInteraction.builder()
        .model(Model.of("gemini-3.8-flash"))
        .input(InteractionsInput.of("Hi, my name is Bob"))
        .build();

Interaction interaction1 =
    client.interactions.create(CreateInteractionRequestBody.of(params1)).interaction().get();

// Second interaction continues the conversation
CreateModelInteraction params2 =
    CreateModelInteraction.builder()
        .model(Model.of("gemini-3.8-flash"))
        .input(InteractionsInput.of("What's my name?"))
        .previousInteractionId(interaction1.id().orElse(""))
        .build();

Interaction interaction2 =
    client.interactions.create(CreateInteractionRequestBody.of(params2)).interaction().get();

// Usage includes tokens from both turns
if (interaction2.usage().isPresent()) {
  Usage usage = interaction2.usage().get();
  System.out.println("Input tokens: " + usage.totalInputTokens().orElse(0));
  System.out.println("Output tokens: " + usage.totalOutputTokens().orElse(0));
  System.out.println("Total tokens: " + usage.totalTokens().orElse(0));
}

# This will only work for SDK newer than 2.0.0
uploaded_file = client.files.upload(file="path/to/image.jpg")

# Count tokens for image + text
total_tokens = client.models.count_tokens(
    model="gemini-3.8-flash",
    contents=["Tell me about this image", uploaded_file]
)
print(f"Total tokens: {total_tokens}")

# Generate with image
interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input=[
        {"type": "text", "text": "Tell me about this image"},
        {"type": "image", "uri": uploaded_file.uri, "mime_type": uploaded_file.mime_type}
    ]
)
print(interaction.usage)

// This will only work for SDK newer than 2.0.0
const uploadedFile = await client.files.upload({
    file: "path/to/image.jpg",
    config: { mimeType: "image/jpeg" }
});

// Count tokens
const countResponse = await client.models.countTokens({
    model: "gemini-3.8-flash",
    contents: [
        { text: "Tell me about this image" },
        { fileData: { fileUri: uploadedFile.uri, mimeType: uploadedFile.mimeType } }
    ]
});
console.log(countResponse.totalTokens);

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.CreateModelInteraction;
import com.google.genai.gaos.models.interactions.ImageContent;
import com.google.genai.gaos.models.interactions.ImageContentMimeType;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.Model;
import com.google.genai.gaos.models.interactions.TextContent;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import com.google.genai.types.Content;
import com.google.genai.types.CountTokensResponse;
import com.google.genai.types.File;
import com.google.genai.types.Part;
import com.google.genai.types.UploadFileConfig;
import java.util.Arrays;

Client client = new Client();

File uploadedFile =
    client.files.upload(
        new java.io.File("path/to/image.jpg"),
        UploadFileConfig.builder().mimeType("image/jpeg").build());

// Count tokens for image + text
CountTokensResponse countResponse =
    client.models.countTokens(
        "gemini-3.8-flash",
        Arrays.asList(
            Content.fromParts(
                Part.fromText("Tell me about this image"),
                Part.fromUri(
                    uploadedFile.uri().orElse(""), uploadedFile.mimeType().orElse("image/jpeg")))),
        null);
System.out.println("Total tokens: " + countResponse.totalTokens().orElse(0));

// Generate with image
CreateModelInteraction params =
    CreateModelInteraction.builder()
        .model(Model.of("gemini-3.8-flash"))
        .input(
            InteractionsInput.ofContent(
                Arrays.asList(
                    TextContent.builder().text("Tell me about this image").build(),
                    ImageContent.builder()
                        .uri(uploadedFile.uri().orElse(""))
                        .mimeType(
                            ImageContentMimeType.of(uploadedFile.mimeType().orElse("image/jpeg")))
                        .build())))
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
System.out.println(interaction.usage().orElse(null));

# This will only work for SDK newer than 2.0.0
import base64

with open('image.jpg', 'rb') as f:
    image_bytes = f.read()

interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input=[
        {"type": "text", "text": "Describe this image"},
        {
            "type": "image",
            "data": base64.b64encode(image_bytes).decode('utf-8'),
            "mime_type": "image/jpeg"
        }
    ]
)
print(interaction.usage)

# This will only work for SDK newer than 2.0.0
import time

video_file = client.files.upload(file="path/to/video.mp4")

while not video_file.state or video_file.state.name != "ACTIVE":
    print("Processing video...")
    time.sleep(5)
    video_file = client.files.get(name=video_file.name)

# A 60-second video is approximately 100 * 60 = 6,000 tokens
total_tokens = client.models.count_tokens(
    model="gemini-3.8-flash",
    contents=["Summarize this video", video_file]
)
print(f"Total tokens: {total_tokens}")

# Generate with video
interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input=[
        {"type": "text", "text": "Summarize this video"},
        {"type": "video", "uri": video_file.uri, "mime_type": video_file.mime_type}
    ]
)
print(interaction.usage)

# This will only work for SDK newer than 2.0.0
audio_file = client.files.upload(file="path/to/audio.mp3")

# A 60-second audio clip is approximately 32 * 60 = 1,920 tokens
total_tokens = client.models.count_tokens(
    model="gemini-3.8-flash",
    contents=["Transcribe this audio", audio_file]
)
print(f"Total tokens: {total_tokens}")

# Generate with audio
interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input=[
        {"type": "text", "text": "Transcribe this audio"},
        {"type": "audio", "uri": audio_file.uri, "mime_type": audio_file.mime_type}
    ]
)
print(interaction.usage)

# This will only work for SDK newer than 2.0.0
interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input="Hello!",
    system_instruction="You are a helpful assistant who speaks like a pirate."
)

# system_instruction tokens included in total_input_tokens
print(f"Input tokens: {interaction.usage.total_input_tokens}")

# This will only work for SDK newer than 2.0.0
tools = [
    {
        "type": "function",
        "name": "get_weather",
        "description": "Get current weather",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string"}
            }
        }
    }
]

interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input="What's the weather in Tokyo?",
    tools=tools
)

print(f"Input tokens: {interaction.usage.total_input_tokens}")
print(f"Tool use tokens: {interaction.usage.total_tool_use_tokens}")

# This will only work for SDK newer than 2.0.0
model_info = client.models.get(model="gemini-3.8-flash")
print(f"Input token limit: {model_info.input_token_limit}")
print(f"Output token limit: {model_info.output_token_limit}")

// This will only work for SDK newer than 2.0.0
const modelInfo = await client.models.get({ model: "gemini-3.8-flash" });
console.log(`Input token limit: ${modelInfo.inputTokenLimit}`);
console.log(`Output token limit: ${modelInfo.outputTokenLimit}`);

import com.google.genai.Client;
import com.google.genai.types.Model;

Client client = new Client();

Model modelInfo = client.models.get("gemini-3.8-flash", null);
System.out.println("Input token limit: " + modelInfo.inputTokenLimit().orElse(0));
System.out.println("Output token limit: " + modelInfo.outputTokenLimit().orElse(0));