curl --request POST \
  --url https://example.algolia.net/agent-studio/1/unstable/context/compact \
  --header 'accept: application/json' \
  --header 'content-type: application/json' \
  --header 'x-algolia-api-key: ALGOLIA_API_KEY' \
  --header 'x-algolia-application-id: ALGOLIA_APPLICATION_ID' \
  --data '
{
  "providerID": "lorem",
  "model": "lorem",
  "messages": [
    {
      "id": "lorem",
      "role": "user",
      "content": "lorem",
      "parts": [
        {
          "type": "text",
          "text": "lorem"
        }
      ],
      "annotations": [
        {}
      ]
    }
  ],
  "keepLastMessages": 4,
  "instructions": "lorem",
  "targetTokensEstimate": 64
}
'

// Initialize the client
var client = new AgentStudioClient(
  new AgentStudioConfig("ALGOLIA_APPLICATION_ID", "ALGOLIA_API_KEY")
);

// Call the API
var response = await client.CompactContextAsync(
  new ContextCompactRequest
  {
    ProviderID = "c2905529-b933-4b69-87ec-75f9829d5f59",
    Model = "gpt-4o-mini",
    Messages = new MessagesUnion(
      new List<MessageV4>
      {
        new MessageV4(new UserMessageV4 { Role = "user", Content = "Hello, how are you?" }),
      }
    ),
  }
);

// print the response
Console.WriteLine(response);

// Initialize the client
final client = AgentStudioClient(
    appId: 'ALGOLIA_APPLICATION_ID', apiKey: 'ALGOLIA_API_KEY');

// Call the API
final response = await client.compactContext(
  contextCompactRequest: ContextCompactRequest(
    providerID: "c2905529-b933-4b69-87ec-75f9829d5f59",
    model: "gpt-4o-mini",
    messages: [
      UserMessageV4(
        role: "user",
        content: "Hello, how are you?",
      ),
    ],
  ),
);

// print the response
print(response);

// Initialize the client
client, err := agentStudio.NewClient("ALGOLIA_APPLICATION_ID", "ALGOLIA_API_KEY")
if err != nil {
  // The client can fail to initialize if you pass an invalid parameter.
  panic(err)
}

// Call the API
response, err := client.CompactContext(client.NewApiCompactContextRequest(
  agentStudio.NewEmptyContextCompactRequest().
    SetProviderID("c2905529-b933-4b69-87ec-75f9829d5f59").
    SetModel("gpt-4o-mini").
    SetMessages(agentStudio.ArrayOfMessageV4AsMessagesUnion(
      []agentStudio.MessageV4{*agentStudio.UserMessageV4AsMessageV4(
        agentStudio.NewEmptyUserMessageV4().SetRole("user").SetContent("Hello, how are you?"))})),
))
if err != nil {
  // handle the eventual error
  panic(err)
}


// print the response
print(response)

// Initialize the client
AgentStudioClient client = new AgentStudioClient("ALGOLIA_APPLICATION_ID", "ALGOLIA_API_KEY");

// Call the API
ContextResponse response = client.compactContext(
  new ContextCompactRequest()
    .setProviderID("c2905529-b933-4b69-87ec-75f9829d5f59")
    .setModel("gpt-4o-mini")
    .setMessages(MessagesUnion.ofListOfMessageV4(Arrays.asList(new UserMessageV4().setRole("user").setContent("Hello, how are you?"))))
);

// print the response
System.out.println(response);

// Initialize the client
const client = agentStudioClient('ALGOLIA_APPLICATION_ID', 'ALGOLIA_API_KEY');

// Call the API
const response = await client.compactContext({
  providerID: 'c2905529-b933-4b69-87ec-75f9829d5f59',
  model: 'gpt-4o-mini',
  messages: [{ role: 'user', content: 'Hello, how are you?' }],
});


// print the response
console.log(response);

// Initialize the client
val client = AgentStudioClient(appId = "ALGOLIA_APPLICATION_ID", apiKey = "ALGOLIA_API_KEY")

// Call the API
var response =
  client.compactContext(
    contextCompactRequest =
      ContextCompactRequest(
        providerID = "c2905529-b933-4b69-87ec-75f9829d5f59",
        model = "gpt-4o-mini",
        messages =
          MessagesUnion.ofListOfMessageV4(
            listOf(UserMessageV4(role = "user", content = "Hello, how are you?"))
          ),
      )
  )


// print the response
println(response)

// Initialize the client
$client = AgentStudioClient::create('ALGOLIA_APPLICATION_ID', 'ALGOLIA_API_KEY');

// Call the API
$response = $client->compactContext(
    ['providerID' => 'c2905529-b933-4b69-87ec-75f9829d5f59',
        'model' => 'gpt-4o-mini',
        'messages' => [
            ['role' => 'user',
                'content' => 'Hello, how are you?',
            ],
        ],
    ],
);


// print the response
var_dump($response);

# Initialize the client
# In an asynchronous context, you can use AgentStudioClient instead, which exposes the exact same methods.
client = AgentStudioClientSync("ALGOLIA_APPLICATION_ID", "ALGOLIA_API_KEY")

# Call the API
response = client.compact_context(
    context_compact_request={
        "providerID": "c2905529-b933-4b69-87ec-75f9829d5f59",
        "model": "gpt-4o-mini",
        "messages": [
            {
                "role": "user",
                "content": "Hello, how are you?",
            },
        ],
    },
)


# print the response
print(response)

# Initialize the client
client = Algolia::AgentStudioClient.create("ALGOLIA_APPLICATION_ID", "ALGOLIA_API_KEY")

# Call the API
response = client.compact_context(
  Algolia::AgentStudio::ContextCompactRequest.new(
    provider_id: "c2905529-b933-4b69-87ec-75f9829d5f59",
    model: "gpt-4o-mini",
    messages: [Algolia::AgentStudio::UserMessageV4.new(role: "user", content: "Hello, how are you?")]
  )
)


# print the response
puts(response)

// Initialize the client
val client = AgentStudioClient(appId = "ALGOLIA_APPLICATION_ID", apiKey = "ALGOLIA_API_KEY")

// Call the API
val response = Await.result(
  client.compactContext(
    contextCompactRequest = ContextCompactRequest(
      providerID = "c2905529-b933-4b69-87ec-75f9829d5f59",
      model = "gpt-4o-mini",
      messages = MessagesUnion(
        Seq(
          UserMessageV4(
            role = "user",
            content = "Hello, how are you?"
          )
        )
      )
    )
  ),
  Duration(100, "sec")
)

// print the response
println(response)

// Initialize the client
let client = try AgentStudioClient(appID: "ALGOLIA_APPLICATION_ID", apiKey: "ALGOLIA_API_KEY")

// Call the API
let response = try await client.compactContext(contextCompactRequest: ContextCompactRequest(
    providerID: "c2905529-b933-4b69-87ec-75f9829d5f59",
    model: "gpt-4o-mini",
    messages: MessagesUnion.arrayOfMessageV4([MessageV4.userMessageV4(UserMessageV4(
        role: "user",
        content: "Hello, how are you?"
    ))])
))

// print the response
print(response)

{
  "messages": [
    {
      "content": "<string>",
      "role": "user",
      "annotations": [
        {}
      ],
      "id": "<string>",
      "parts": [
        {
          "text": "<string>",
          "type": "text"
        }
      ]
    }
  ],
  "stats": {
    "messagesAfter": 123,
    "messagesBefore": 123,
    "messagesDropped": 123,
    "tokensAfterEstimate": 123,
    "tokensBeforeEstimate": 123
  },
  "compaction": {
    "compacted": true,
    "chunksProcessed": 0,
    "passes": 0,
    "summarizerCompletionTokens": 123,
    "summarizerPromptTokens": 123,
    "targetTokensEstimate": 123
  }
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}