> ## AI Agent Context
> Get the complete documentation index at: https://aistudio.google.com/llms.txt
> Use this file to discover all available pages.
> For the full documentation in a single file, fetch: https://aistudio.google.com/llms-full.txt

# Text generation

The Gemini API can generate text output from text, images, video, and audio
inputs.

Here's a basic example:

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  interaction = client.interactions.create(
      model="gemini-3.8-flash",
      input="How does AI work?"
  )
  print(interaction.output_text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const interaction = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "How does AI work?",
    });
    console.log(interaction.output_text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  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;
  
  Client client = new Client();
  
  CreateModelInteraction params =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("How does AI work?"))
          .build();
  
  Interaction interaction =
      client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
  
  System.out.println(interaction.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput("How does AI work?"),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      if res.Interaction.OutputText != nil {
          fmt.Println(*res.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "How does AI work?"
    }'
  ```

  {% /tab %}

{% /tabs %}

The Google GenAI SDKs provide convenience properties directly
on the returned `Interaction` object to access the model's response.

The most common helper is **`interaction.output_text`** (String), which returns
the last text blocks in the model's response. If the response is split
across multiple consecutive `TextContent` blocks, it automatically joins them.
Note that `.output_text` does not include earlier text blocks separated by
non-text content (such as thoughts, images, audio, or tool calls). For complex
or interleaved multimodal responses, you must manually iterate over `steps`
instead.

## Thinking with Gemini  {% id="thinking-with-gemini" %}

Gemini models often have ["thinking"](/docs/thinking)
enabled by default which allows the model to reason before responding to a
request.

Each model supports different thinking configurations which gives you control
over cost, latency, and intelligence. For more details, see the
[thinking guide](/docs/thinking#thinking-levels).

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  interaction = client.interactions.create(
      model="gemini-3.8-flash",
      input="How does AI work?",
      generation_config={
          "thinking_level": "low"
      }
  )
  print(interaction.output_text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const interaction = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "How does AI work?",
      generation_config: {
        thinking_level: "low",
      },
    });
    console.log(interaction.output_text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  import com.google.genai.Client;
  import com.google.genai.gaos.models.interactions.CreateModelInteraction;
  import com.google.genai.gaos.models.interactions.GenerationConfig;
  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.ThinkingLevel;
  import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
  
  Client client = new Client();
  
  CreateModelInteraction params =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("How does AI work?"))
          .generationConfig(GenerationConfig.builder().thinkingLevel(ThinkingLevel.LOW).build())
          .build();
  
  Interaction interaction =
      client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
  
  System.out.println(interaction.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput("How does AI work?"),
              GenerationConfig: &interactions.GenerationConfig{
                  ThinkingLevel: interactions.ThinkingLevelLow.ToPointer(),
              },
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      if res.Interaction.OutputText != nil {
          fmt.Println(*res.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "How does AI work?",
      "generation_config": {
        "thinking_level": "low"
      }
    }'
  ```

  {% /tab %}

{% /tabs %}

## System instructions and other configurations  {% id="system-instructions" %}

You can guide the behavior of Gemini models with system instructions. Pass
a `system_instruction` parameter to configure the model's behavior.

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  interaction = client.interactions.create(
      model="gemini-3.8-flash",
      system_instruction="You are a cat. Your name is Neko.",
      input="Hello there"
  )
  
  print(interaction.output_text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const interaction = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "Hello there",
      system_instruction: "You are a cat. Your name is Neko.",
    });
    console.log(interaction.output_text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  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;
  
  Client client = new Client();
  
  CreateModelInteraction params =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .systemInstruction("You are a cat. Your name is Neko.")
          .input(InteractionsInput.of("Hello there"))
          .build();
  
  Interaction interaction =
      client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
  
  System.out.println(interaction.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model:             interactions.Model("gemini-3.8-flash"),
              Input:             interactions.NewInteractionsInput("Hello there"),
              SystemInstruction: genai.Ptr("You are a cat. Your name is Neko."),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      if res.Interaction.OutputText != nil {
          fmt.Println(*res.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "system_instruction": "You are a cat. Your name is Neko.",
      "input": "Hello there"
    }'
  ```

  {% /tab %}

{% /tabs %}

You can also override default generation parameters, such as
`max_output_tokens` or `thinking_level`, using the `generation_config` parameter.

{% callout type="note" %}
  Gemini 4 and Gemini 3.6+ models ignore custom values for `temperature`, `top_p`, and `top_k` and return deprecation warning headers. Remove these sampling parameters from your requests.

{% /callout %}

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  interaction = client.interactions.create(
      model="gemini-3.8-flash",
      input="Explain how AI works",
      generation_config={
          "max_output_tokens": 500
      }
  )
  print(interaction.output_text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const interaction = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "Explain how AI works",
      generation_config: {
        max_output_tokens: 500,
      },
    });
    console.log(interaction.output_text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  import com.google.genai.Client;
  import com.google.genai.gaos.models.interactions.CreateModelInteraction;
  import com.google.genai.gaos.models.interactions.GenerationConfig;
  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;
  
  Client client = new Client();
  
  CreateModelInteraction params =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("Explain how AI works"))
          .generationConfig(GenerationConfig.builder().maxOutputTokens(500).build())
          .build();
  
  Interaction interaction =
      client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();
  
  System.out.println(interaction.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput("Explain the concept of Occam's Razor and provide a simple, everyday example."),
              GenerationConfig: &interactions.GenerationConfig{
                  MaxOutputTokens: genai.Ptr(500),
              },
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      if res.Interaction.OutputText != nil {
          fmt.Println(*res.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "Explain how AI works",
      "generation_config": {
        "max_output_tokens": 1000
      }
    }'
  ```

  {% /tab %}

{% /tabs %}

Refer to the [Interactions API reference](https://ai.google.dev/api/interactions-api)
for a complete list of configurable parameters and their
descriptions.

## Multimodal inputs  {% id="multimodal-input" %}

The Gemini API supports multimodal inputs, allowing you to combine text with
media files. The following example demonstrates providing an image:

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  uploaded_file = client.files.upload(file="path/to/organ.jpg")
  
  interaction = client.interactions.create(
      model="gemini-3.8-flash",
      input=[
          {"type": "text", "text": "Tell me about this instrument"},
          {
              "type": "image",
              "uri": uploaded_file.uri,
              "mime_type": uploaded_file.mime_type
          }
      ]
  )
  print(interaction.output_text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const uploadedFile = await ai.files.upload({
      file: "path/to/organ.jpg",
      config: { mimeType: "image/jpeg" }
    });
  
    const interaction = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: [
        {type: "text", text: "Tell me about this instrument"},
        {
          type: "image",
          uri: uploadedFile.uri,
          mime_type: uploadedFile.mimeType
        }
      ],
    });
    console.log(interaction.output_text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  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.File;
  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/organ.jpg"),
          UploadFileConfig.builder().mimeType("image/jpeg").build());
  
  CreateModelInteraction params =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(
              InteractionsInput.ofContent(
                  Arrays.asList(
                      TextContent.builder().text("Tell me about this instrument").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.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "encoding/base64"
      "fmt"
      "log"
      "os"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      imageBytes, err := os.ReadFile("/path/to/organ.jpg")
      if err != nil {
          log.Fatal(err)
      }
      base64Image := base64.StdEncoding.EncodeToString(imageBytes)
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput([]interactions.Content{
                  interactions.NewContent(interactions.TextContent{
                      Text: "Tell me about this instrument",
                  }),
                  interactions.NewContent(interactions.ImageContent{
                      Data:     genai.Ptr(base64Image),
                      MimeType: interactions.ImageContentMimeTypeImageJpeg.ToPointer(),
                  }),
              }),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      if res.Interaction.OutputText != nil {
          fmt.Println(*res.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  # First upload the file using the Files API, then use the URI:
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": [
        {"type": "text", "text": "Tell me about this instrument"},
        {
          "type": "image",
          "uri": "YOUR_FILE_URI",
          "mime_type": "image/jpeg"
        }
      ]
    }'
  ```

  {% /tab %}

{% /tabs %}

For alternative methods of providing images and more advanced image processing,
see our [image understanding guide](/docs/image-understanding).
The API also supports [document](/docs/document-processing), [video](/docs/video-understanding), and
[audio](/docs/audio) inputs and understanding.

## Streaming responses  {% id="streaming-responses" %}

By default, the model returns a response only after the entire generation
process is complete.

For more fluid interactions, use streaming to handle response chunks
as they're generated. For a comprehensive guide covering event types,
streaming with tools, thinking, agents, and image generation, see the
dedicated [Streaming interactions](/docs/streaming)
guide.

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  stream = client.interactions.create(
      model="gemini-3.8-flash",
      input="Explain how AI works",
      stream=True
  )
  for event in stream:
      if event.event_type == "step.delta":
          if event.delta.type == "text":
              print(event.delta.text, end="")
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const stream = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "Explain how AI works",
      stream: true,
    });
  
    for await (const event of stream) {
      if (event.event_type === "step.delta") {
        if (event.delta.type === "text") {
          process.stdout.write(event.delta.text);
        }
      }
    }
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  import com.google.genai.Client;
  import com.google.genai.gaos.models.interactions.CreateModelInteraction;
  import com.google.genai.gaos.models.interactions.InteractionSSEEvent;
  import com.google.genai.gaos.models.interactions.InteractionSSEStreamEvent;
  import com.google.genai.gaos.models.interactions.InteractionsInput;
  import com.google.genai.gaos.models.interactions.Model;
  import com.google.genai.gaos.models.interactions.StepDelta;
  import com.google.genai.gaos.models.interactions.StepDeltaData;
  import com.google.genai.gaos.models.interactions.TextDelta;
  import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
  import com.google.genai.gaos.models.operations.CreateInteractionResponse;
  import com.google.genai.gaos.utils.EventStream;
  
  Client client = new Client();
  
  CreateModelInteraction params =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("Explain how AI works"))
          .stream(true)
          .build();
  
  CreateInteractionResponse response =
      client.interactions.create(CreateInteractionRequestBody.of(params));
  
  try (EventStream<InteractionSSEStreamEvent> stream = response.events()) {
    for (InteractionSSEStreamEvent streamEvent : stream) {
      InteractionSSEEvent event = streamEvent.data().orElse(null);
      if (event instanceof StepDelta stepDelta) {
        StepDeltaData delta = stepDelta.delta().orElse(null);
        if (delta instanceof TextDelta textDelta) {
          System.out.print(textDelta.text().orElse(""));
        }
      }
    }
  }
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model:  interactions.Model("gemini-3.8-flash"),
              Input:  interactions.NewInteractionsInput("Explain how AI works"),
              Stream: genai.Ptr(true),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
      stream := res.InteractionSSEStreamEvent
      defer stream.Close()
  
      for stream.Next() {
          event := stream.Value()
          if stepDelta := event.GetDataStepDelta(); stepDelta != nil {
              if textDelta := stepDelta.GetDeltaText(); textDelta != nil {
                  fmt.Print(textDelta.GetText())
              }
          }
      }
      if err := stream.Err(); err != nil {
          log.Fatal(err)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions?alt=sse" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    --no-buffer \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "Explain how AI works",
      "stream": true
    }'
  ```

  {% /tab %}

{% /tabs %}

## Multi-turn conversations  {% id="multi-turn-conversations" %}

The Interactions API supports multi-turn conversations by chaining interactions
together using `previous_interaction_id`. Each turn is a separate interaction,
and the API automatically manages conversation history.

{% callout type="note" %}
  Unlike other APIs where you might manage conversation history manually,
  the Interactions API handles conversation state server-side. You
  pass the `id` from the previous interaction to continue the conversation.

{% /callout %}

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  interaction1 = client.interactions.create(
      model="gemini-3.8-flash",
      input="I have 2 dogs in my house.",
  )
  print(interaction1.output_text)
  
  interaction2 = client.interactions.create(
      model="gemini-3.8-flash",
      input="How many paws are in my house?",
      previous_interaction_id=interaction1.id,
  )
  print(interaction2.output_text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const interaction1 = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "I have 2 dogs in my house.",
    });
    console.log("Response 1:", interaction1.output_text);
  
    const interaction2 = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "How many paws are in my house?",
      previous_interaction_id: interaction1.id,
    });
    console.log("Response 2:", interaction2.output_text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  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;
  
  Client client = new Client();
  
  CreateModelInteraction params1 =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("I have 2 dogs in my house."))
          .build();
  
  Interaction interaction1 =
      client.interactions.create(CreateInteractionRequestBody.of(params1)).interaction().get();
  System.out.println("Response 1: " + interaction1.outputText().orElse(""));
  
  CreateModelInteraction params2 =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("How many paws are in my house?"))
          .previousInteractionId(interaction1.id().orElse(""))
          .build();
  
  Interaction interaction2 =
      client.interactions.create(CreateInteractionRequestBody.of(params2)).interaction().get();
  System.out.println("Response 2: " + interaction2.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      // First turn
      turn1, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput("Hello, I have 2 dogs in my house."),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
      if turn1.Interaction.OutputText != nil {
          fmt.Printf("Model: %s\n", *turn1.Interaction.OutputText)
      }
  
      // Second turn (chained using PreviousInteractionID)
      turn2, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model:                 interactions.Model("gemini-3.8-flash"),
              PreviousInteractionID: turn1.Interaction.ID,
              Input:                 interactions.NewInteractionsInput("How many paws are in my house?"),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
      if turn2.Interaction.OutputText != nil {
          fmt.Printf("Model: %s\n", *turn2.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  RESPONSE1=$(curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "I have 2 dogs in my house."
    }')
  
  INTERACTION_ID=$(echo "$RESPONSE1" | jq -r '.id')
  
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "I have two dogs in my house. How many paws are in my house?",
      "previous_interaction_id": "'$INTERACTION_ID'"
    }'
  ```

  {% /tab %}

{% /tabs %}

Streaming can also be used for multi-turn conversations by combining
`previous_interaction_id` with the streaming methods.

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  interaction1 = client.interactions.create(
      model="gemini-3.8-flash",
      input="I have 2 dogs in my house.",
  )
  print(interaction1.output_text)
  
  stream = client.interactions.create(
      model="gemini-3.8-flash",
      input="How many paws are in my house?",
      previous_interaction_id=interaction1.id,
      stream=True
  )
  for event in stream:
      if event.event_type == "step.delta":
          if event.delta.type == "text":
              print(event.delta.text, end="")
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const interaction1 = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "I have 2 dogs in my house.",
    });
    console.log("Response 1:", interaction1.output_text);
  
    const stream = await ai.interactions.create({
      model: "gemini-3.8-flash",
      input: "How many paws are in my house?",
      previous_interaction_id: interaction1.id,
      stream: true,
    });
    for await (const event of stream) {
      if (event.event_type === "step.delta") {
        if (event.delta.type === "text") {
          process.stdout.write(event.delta.text);
        }
      }
    }
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  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.InteractionSSEEvent;
  import com.google.genai.gaos.models.interactions.InteractionSSEStreamEvent;
  import com.google.genai.gaos.models.interactions.InteractionsInput;
  import com.google.genai.gaos.models.interactions.Model;
  import com.google.genai.gaos.models.interactions.StepDelta;
  import com.google.genai.gaos.models.interactions.StepDeltaData;
  import com.google.genai.gaos.models.interactions.TextDelta;
  import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
  import com.google.genai.gaos.models.operations.CreateInteractionResponse;
  import com.google.genai.gaos.utils.EventStream;
  
  Client client = new Client();
  
  CreateModelInteraction params1 =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("I have 2 dogs in my house."))
          .build();
  
  Interaction interaction1 =
      client.interactions.create(CreateInteractionRequestBody.of(params1)).interaction().get();
  System.out.println("Response 1: " + interaction1.outputText().orElse(""));
  
  CreateModelInteraction params2 =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .input(InteractionsInput.of("How many paws are in my house?"))
          .previousInteractionId(interaction1.id().orElse(""))
          .stream(true)
          .build();
  
  CreateInteractionResponse response2 =
      client.interactions.create(CreateInteractionRequestBody.of(params2));
  
  try (EventStream<InteractionSSEStreamEvent> stream = response2.events()) {
    for (InteractionSSEStreamEvent streamEvent : stream) {
      InteractionSSEEvent event = streamEvent.data().orElse(null);
      if (event instanceof StepDelta stepDelta) {
        StepDeltaData delta = stepDelta.delta().orElse(null);
        if (delta instanceof TextDelta textDelta) {
          System.out.print(textDelta.text().orElse(""));
        }
      }
    }
  }
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      turn1, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput("Hello, I have 2 dogs in my house."),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      res2, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model:                 interactions.Model("gemini-3.8-flash"),
              PreviousInteractionID: turn1.Interaction.ID,
              Input:                 interactions.NewInteractionsInput("How many paws are in my house?"),
              Stream:                genai.Ptr(true),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
      stream := res2.InteractionSSEStreamEvent
      defer stream.Close()
  
      for stream.Next() {
          event := stream.Value()
          if stepDelta := event.GetDataStepDelta(); stepDelta != nil {
              if textDelta := stepDelta.GetDeltaText(); textDelta != nil {
                  fmt.Print(textDelta.GetText())
              }
          }
      }
      if err := stream.Err(); err != nil {
          log.Fatal(err)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  RESPONSE1=$(curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "I have 2 dogs in my house."
    }')
  INTERACTION_ID=$(echo "$RESPONSE1" | jq -r '.id')
  
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions?alt=sse" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    --no-buffer \
    -d '{
      "model": "gemini-3.8-flash",
      "input": "How many paws are in my house?",
      "previous_interaction_id": "'$INTERACTION_ID'",
      "stream": true
    }'
  ```

  {% /tab %}

{% /tabs %}

## Stateless conversations  {% id="stateless-conversations" %}

By default, the Interactions API manages conversation state server-side when you
use `previous_interaction_id`. However, you can also operate in stateless mode
by managing the conversation history yourself on the client side.

To use stateless mode:

1. Set `store=false` in your request to opt out of server-side storage.
2. Maintain the conversation history as an array of **steps** on the client side.
3. In subsequent requests, pass the accumulated steps in the `input` field, and append your new turn as a `user_input` step.

{% callout type="note" %}
  If the model uses "thinking" or tools, you **must** preserve and resend
  all model-generated steps (such as `thought` and `function_call` steps) exactly
  as received, as they contain signatures required to continue the conversation.

{% /callout %}

{% tabs %}
  {% tab label="Python" %}
  ```python
  from google import genai
  
  client = genai.Client()
  
  history = [
      {
          "type": "user_input",
          "content": [{"type": "text", "text": "I have 2 dogs in my house."}]
      }
  ]
  
  interaction1 = client.interactions.create(
      model="gemini-3.8-flash",
      store=False,
      input=history
  )
  print("Response 1:", interaction1.steps[-1].content[0].text)
  
  for step in interaction1.steps:
      history.append(step.model_dump())
  
  history.append({
      "type": "user_input",
      "content": [{"type": "text", "text": "How many paws are in my house?"}]
  })
  
  interaction2 = client.interactions.create(
      model="gemini-3.8-flash",
      store=False,
      input=history
  )
  print("Response 2:", interaction2.steps[-1].content[0].text)
  ```

  {% /tab %}

  {% tab label="JavaScript" %}
  ```javascript
  import { GoogleGenAI } from "@google/genai";
  
  const ai = new GoogleGenAI({});
  
  async function main() {
    const history = [
      {
        type: "user_input",
        content: [{ type: "text", text: "I have 2 dogs in my house." }]
      }
    ];
  
    const interaction1 = await ai.interactions.create({
      model: "gemini-3.8-flash",
      store: false,
      input: history
    });
    console.log("Response 1:", interaction1.steps.at(-1).content[0].text);
  
    history.push(...interaction1.steps);
  
    history.push({
      type: "user_input",
      content: [{ type: "text", text: "How many paws are in my house?" }]
    });
  
    const interaction2 = await ai.interactions.create({
      model: "gemini-3.8-flash",
      store: false,
      input: history
    });
    console.log("Response 2:", interaction2.steps.at(-1).content[0].text);
  }
  
  await main();
  ```

  {% /tab %}

  {% tab label="Java" %}
  ```java
  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.Step;
  import com.google.genai.gaos.models.interactions.TextContent;
  import com.google.genai.gaos.models.interactions.UserInputStep;
  import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
  import java.util.ArrayList;
  import java.util.Arrays;
  import java.util.List;
  
  Client client = new Client();
  
  List<Step> history = new ArrayList<>();
  history.add(
      UserInputStep.builder()
          .content(Arrays.asList(TextContent.builder().text("I have 2 dogs in my house.").build()))
          .build());
  
  CreateModelInteraction params1 =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .store(false)
          .input(InteractionsInput.ofStep(history))
          .build();
  
  Interaction interaction1 =
      client.interactions.create(CreateInteractionRequestBody.of(params1)).interaction().get();
  System.out.println("Response 1: " + interaction1.outputText().orElse(""));
  
  interaction1.steps().ifPresent(history::addAll);
  
  history.add(
      UserInputStep.builder()
          .content(Arrays.asList(TextContent.builder().text("How many paws are in my house?").build()))
          .build());
  
  CreateModelInteraction params2 =
      CreateModelInteraction.builder()
          .model(Model.of("gemini-3.8-flash"))
          .store(false)
          .input(InteractionsInput.ofStep(history))
          .build();
  
  Interaction interaction2 =
      client.interactions.create(CreateInteractionRequestBody.of(params2)).interaction().get();
  System.out.println("Response 2: " + interaction2.outputText().orElse(""));
  ```

  {% /tab %}

  {% tab label="Go" %}
  ```go
  package main
  
  import (
      "context"
      "fmt"
      "log"
  
      "google.golang.org/genai"
      "google.golang.org/genai/interactions/models/interactions"
      "google.golang.org/genai/interactions/models/operations"
  )
  
  func main() {
      ctx := context.Background()
      client, err := genai.NewClient(ctx, nil)
      if err != nil {
          log.Fatal(err)
      }
  
      res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
          Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
              Model: interactions.Model("gemini-3.8-flash"),
              Input: interactions.NewInteractionsInput([]interactions.Step{
                  interactions.NewStep(interactions.UserInputStep{
                      Content: []interactions.Content{
                          interactions.NewContent(interactions.TextContent{
                              Text: "Hello, I have 2 dogs in my house.",
                          }),
                      },
                  }),
                  interactions.NewStep(interactions.ModelOutputStep{
                      Content: []interactions.Content{
                          interactions.NewContent(interactions.TextContent{
                              Text: "That's great! Two dogs must keep your house lively.",
                          }),
                      },
                  }),
                  interactions.NewStep(interactions.UserInputStep{
                      Content: []interactions.Content{
                          interactions.NewContent(interactions.TextContent{
                              Text: "How many paws are in my house?",
                          }),
                      },
                  }),
              }),
          }),
      })
      if err != nil {
          log.Fatal(err)
      }
  
      if res.Interaction.OutputText != nil {
          fmt.Println(*res.Interaction.OutputText)
      }
  }
  ```

  {% /tab %}

  {% tab label="REST" %}
  ```shell
  # Turn 1: Send request with store: false
  RESPONSE1=$(curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d '{
      "model": "gemini-3.8-flash",
      "store": false,
      "input": [
        {
          "type": "user_input",
          "content": "I have 2 dogs in my house."
        }
      ]
    }')
  
  # Extract the steps from response
  MODEL_STEPS=$(echo "$RESPONSE1" | jq '.steps')
  
  # Reconstruct the full history for Turn 2 by combining:
  # 1. First user input
  # 2. Model response steps
  # 3. Second user input
  HISTORY=$(jq -n \
    --argjson first_input '[{"type": "user_input", "content": "I have 2 dogs in my house."}]' \
    --argjson model_steps "$MODEL_STEPS" \
    --argjson second_input '[{"type": "user_input", "content": "How many paws are in my house?"}]' \
    "'"'"'$first_input + $model_steps + $second_input'"'"'")
  
  # Turn 2: Send the full history
  curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H 'Content-Type: application/json' \
    -H "Api-Revision: 2026-05-20" \
    -d "{
      \"model\": \"gemini-3.8-flash\",
      \"store\": false,
      \"input\": $HISTORY
    }"
  ```

  {% /tab %}

{% /tabs %}

## Prompting tips  {% id="prompting-tips" %}

Consult our [prompt engineering guide](/docs/prompting-strategies) for
suggestions on getting the most out of Gemini.

## What's next  {% id="whats-next" %}

*   Try [Gemini in Google AI Studio](https://aistudio.google.com).

*   Experiment with
  [structured outputs](/docs/structured-output) for
  JSON-like responses.

*   Explore Gemini's [image](/docs/image-understanding),
  [video](/docs/video-understanding),
  [audio](/docs/audio) and
  [document](/docs/document-processing) understanding
  capabilities.

*   Learn about multimodal
  [file prompting strategies](/docs/files#prompt-guide).