---
title: LLM 통합 모델 목록 나열
description: 지정된 LLM 공급자 통합 및 계정에 대해 사용 가능한 모델 목록을 검색합니다.
breadcrumbs: 문서 > API > LLM 통합 모델 목록 나열
---

> For the complete documentation index, see [llms.txt](https://dnd37xeb23o8n.cloudfront.net/stefon.simmons/docs-astro-web-10435/llms.txt).

# LLM 통합 모델 목록 나열

## v2 (latest)

{% alert level="warning" %}
**Note**: This endpoint is in Preview and is subject to change.
If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help.md).
{% /alert %}

| Datadog site      | API endpoint                                                                                       |
| ----------------- | -------------------------------------------------------------------------------------------------- |
| app.datadoghq.com | GET https://api.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models     |
| us3.datadoghq.com | GET https://api.us3.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models |
| us5.datadoghq.com | GET https://api.us5.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models |
| app.datadoghq.eu  | GET https://api.datadoghq.eu/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models      |
| ap1.datadoghq.com | GET https://api.ap1.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models |
| ap2.datadoghq.com | GET https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models |
| uk1.datadoghq.com | GET https://api.uk1.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models |
| app.ddog-gov.com  | GET https://api.ddog-gov.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models      |
| us2.ddog-gov.com  | GET https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/integrations/{integration}/{account_id}/models  |

### Overview

지정된 LLM 공급자 통합 및 계정에 대해 사용 가능한 모델 목록을 검색합니다.

### Arguments

#### Path Parameters

| Field                    | Type   | Description                                                                                                                             |
| ------------------------ | ------ | --------------------------------------------------------------------------------------------------------------------------------------- |
| integration [*required*] | enum   | The name of the LLM integration. Allowed enum values: `openai`, `amazon_bedrock`, `anthropic`, `azure_openai`, `vertex_ai`, `llmproxy`. |
| account_id [*required*]  | string | The ID of the integration account.                                                                                                      |

### Response

{% tabs %}
{% tab label="200" %}
OK

{% tabs %}
{% tab label="Model" %}
| Parent field         | Field                                 | Type    | Description                                                   |
| -------------------- | ------------------------------------- | ------- | ------------------------------------------------------------- |
|                      | has_access [*required*]               | boolean | Whether the account has access to this model.                 |
|                      | id [*required*]                       | string  | Unique identifier for the model entry.                        |
|                      | integration [*required*]              | string  | The name of the LLM provider integration.                     |
|                      | integration_display_name [*required*] | string  | Human-readable name of the LLM provider integration.          |
|                      | json_schema [*required*]              | boolean | Whether the model supports structured output via JSON schema. |
|                      | model_display_name [*required*]       | string  | Human-readable model name.                                    |
|                      | model_id [*required*]                 | string  | Provider-specific model identifier used in inference calls.   |
|                      | provider [*required*]                 | string  | The underlying model provider.                                |
|                      | provider_display_name [*required*]    | string  | Human-readable name of the underlying model provider.         |
|                      | region_prefix_overrides               | object  | Map of region-specific model ID prefix overrides.             |
| additionalProperties | <any-key>                             | string  |                                                               |
{% /tab %}

{% tab label="Example" %}
```json
{
  "has_access": true,
  "id": "gpt-4o",
  "integration": "openai",
  "integration_display_name": "OpenAI",
  "json_schema": true,
  "model_display_name": "GPT-4o",
  "model_id": "gpt-4o",
  "provider": "openai",
  "provider_display_name": "OpenAI",
  "region_prefix_overrides": {
    "<any-key>": "string"
  }
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="400" %}
Bad Request

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="401" %}
Unauthorized

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="403" %}
Forbidden

{% tabs %}
{% tab label="Model" %}
API error response.

| Parent field | Field               | Type     | Description                                                                     |
| ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- |
|              | errors [*required*] | [object] | A list of errors.                                                               |
| errors       | detail              | string   | A human-readable explanation specific to this occurrence of the error.          |
| errors       | meta                | object   | Non-standard meta-information about the error                                   |
| errors       | source              | object   | References to the source of the error.                                          |
| source       | header              | string   | A string indicating the name of a single request header which caused the error. |
| source       | parameter           | string   | A string indicating which URI query parameter caused the error.                 |
| source       | pointer             | string   | A JSON pointer to the value in the request document that caused the error.      |
| errors       | status              | string   | Status code of the response.                                                    |
| errors       | title               | string   | Short human-readable summary of the error.                                      |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="429" %}
Too many requests

{% tabs %}
{% tab label="Model" %}
API error response.

| Field               | Type     | Description       |
| ------------------- | -------- | ----------------- |
| errors [*required*] | [string] | A list of errors. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}
{% /tabs %}

### Code Example

{% tabs %}
{% tab label="Curl" %}
```bash
# Path parameters
export integration="openai"
export account_id="account-abc123"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, us2.ddog-gov.com
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/integrations/${integration}/${account_id}/models" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
```
{% /tab %}

{% tab label="Go" %}
```go
// List LLM integration models returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.ListLLMObsIntegrationModels", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewAgentObservabilityApi(apiClient)
	resp, r, err := api.ListLLMObsIntegrationModels(ctx, datadogV2.LLMOBSINTEGRATIONNAME_OPENAI, "account_id")

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `AgentObservabilityApi.ListLLMObsIntegrationModels`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `AgentObservabilityApi.ListLLMObsIntegrationModels`:\n%s\n", responseContent)
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"
```
{% /tab %}

{% tab label="Java" %}
```java
// List LLM integration models returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.AgentObservabilityApi;
import com.datadog.api.client.v2.model.LLMObsIntegrationModel;
import com.datadog.api.client.v2.model.LLMObsIntegrationName;
import java.util.List;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    defaultClient.setUnstableOperationEnabled("v2.listLLMObsIntegrationModels", true);
    AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);

    try {
      List<LLMObsIntegrationModel> result =
          apiInstance.listLLMObsIntegrationModels(LLMObsIntegrationName.OPENAI, "account-abc123");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling AgentObservabilityApi#listLLMObsIntegrationModels");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"
```
{% /tab %}

{% tab label="Python" %}
```python
"""
List LLM integration models returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.agent_observability_api import AgentObservabilityApi
from datadog_api_client.v2.model.llm_obs_integration_name import LLMObsIntegrationName

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["list_llm_obs_integration_models"] = True
with ApiClient(configuration) as api_client:
    api_instance = AgentObservabilityApi(api_client)
    response = api_instance.list_llm_obs_integration_models(
        integration=LLMObsIntegrationName.OPENAI,
        account_id="account_id",
    )

    print(response)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"
```
{% /tab %}

{% tab label="Ruby" %}
```ruby
# List LLM integration models returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
  config.unstable_operations["v2.list_llm_obs_integration_models".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new
p api_instance.list_llm_obs_integration_models(LLMObsIntegrationName::OPENAI, "account_id")
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"
```
{% /tab %}

{% tab label="Rust" %}
```rust
// List LLM integration models returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsIntegrationName;

#[tokio::main]
async fn main() {
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.list_llm_obs_integration_models", true);
    let api = AgentObservabilityAPI::with_config(configuration);
    let resp = api
        .list_llm_obs_integration_models(LLMObsIntegrationName::OPENAI, "account_id".to_string())
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
```
{% /tab %}

{% tab label="TypeScript" %}
```typescript
/**
 * List LLM integration models returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
configuration.unstableOperations["v2.listLLMObsIntegrationModels"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);

const params: v2.AgentObservabilityApiListLLMObsIntegrationModelsRequest = {
  integration: "openai",
  accountId: "account_id",
};

apiInstance
  .listLLMObsIntegrationModels(params)
  .then((data: v2.LLMObsIntegrationModel[]) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"
```
{% /tab %}
{% /tabs %}