---
title: List LLM Observability prompts
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > API Reference > LLM Observability
---

> For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt).

# List LLM Observability prompts{% #list-llm-observability-prompts %}
Copy pageCopied
{% tab title="v2" %}
**Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/).
| Datadog site      | API endpoint                                                |
| ----------------- | ----------------------------------------------------------- |
| ap1.datadoghq.com | GET https://api.ap1.datadoghq.com/api/v2/llm-obs/v1/prompts |
| ap2.datadoghq.com | GET https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/prompts |
| app.datadoghq.eu  | GET https://api.datadoghq.eu/api/v2/llm-obs/v1/prompts      |
| app.ddog-gov.com  | GET https://api.ddog-gov.com/api/v2/llm-obs/v1/prompts      |
| us2.ddog-gov.com  | GET https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/prompts  |
| uk1.datadoghq.com | GET https://api.uk1.datadoghq.com/api/v2/llm-obs/v1/prompts |
| app.datadoghq.com | GET https://api.datadoghq.com/api/v2/llm-obs/v1/prompts     |
| us3.datadoghq.com | GET https://api.us3.datadoghq.com/api/v2/llm-obs/v1/prompts |
| us5.datadoghq.com | GET https://api.us5.datadoghq.com/api/v2/llm-obs/v1/prompts |

### Overview

List all LLM Observability prompts in the prompt registry for the organization. This endpoint requires the `llm_observability_read` permission.

### Arguments

#### Query Strings

| Name              | Type   | Description                               |
| ----------------- | ------ | ----------------------------------------- |
| filter[prompt_id] | string | Optional filter for prompts by prompt ID. |

### Response

{% tab title="200" %}
OK
{% tab title="Model" %}
Response containing a list of LLM Observability prompts.

| Parent field | Field                          | Type      | Description                                                                                                                  |
| ------------ | ------------------------------ | --------- | ---------------------------------------------------------------------------------------------------------------------------- |
|              | data [*required*]         | [object]  | List of LLM Observability prompts.                                                                                           |
| data         | attributes [*required*]   | object    | Attributes of an LLM Observability prompt registry entry.                                                                    |
| attributes   | author                         | string    | UUID of the user who authored the prompt.                                                                                    |
| attributes   | created_at                     | date-time | Timestamp when the prompt was created.                                                                                       |
| attributes   | created_from [*required*] | string    | Source that created the prompt, such as `ui-registry`, `sdk-registry`, or `sdk-instrumentation`.                             |
| attributes   | datasets                       | [object]  | Datasets observed in runs associated with this prompt.                                                                       |
| datasets     | id [*required*]           | string    | Unique identifier of the dataset.                                                                                            |
| datasets     | name                           | string    | Name of the dataset.                                                                                                         |
| attributes   | description                    | string    | Description of the prompt.                                                                                                   |
| attributes   | extracted_from                 | string    | Source prompt from which this prompt was extracted, when applicable.                                                         |
| attributes   | in_registry [*required*]  | boolean   | Whether the prompt is a registry entry (as opposed to a code-discovered prompt).                                             |
| attributes   | last_seen_at                   | date-time | Timestamp of the most recent observed run of this prompt.                                                                    |
| attributes   | last_version_created_at        | date-time | Timestamp when the most recent version of the prompt was created.                                                            |
| attributes   | ml_app                         | string    | The ML application this prompt is associated with.                                                                           |
| attributes   | ml_apps                        | [string]  | ML applications observed running this prompt.                                                                                |
| attributes   | num_versions [*required*] | int64     | Number of versions of the prompt.                                                                                            |
| attributes   | prompt_id [*required*]    | string    | Customer-provided identifier of the prompt.                                                                                  |
| attributes   | source [*required*]       | enum      | Whether the prompt was created from the registry or discovered from observed LLM calls. Allowed enum values: `registry,code` |
| attributes   | tags                           | [string]  | Tags observed on runs of this prompt.                                                                                        |
| attributes   | title                          | string    | Title of the prompt.                                                                                                         |
| data         | id [*required*]           | string    | Unique identifier of the prompt.                                                                                             |
| data         | type [*required*]         | enum      | Resource type of an LLM Observability prompt. Allowed enum values: `prompt-templates`                                        |

{% /tab %}

{% tab title="Example" %}

```json
{
  "data": [
    {
      "attributes": {
        "author": "3b12f1df-14fd-4e12-bd6f-4a2f5c8b3d1e",
        "created_at": "2025-01-15T10:00:00Z",
        "created_from": "sdk-registry",
        "description": "Answers customer questions using the company knowledge base.",
        "in_registry": true,
        "last_version_created_at": "2025-02-01T14:30:00Z",
        "num_versions": 2,
        "prompt_id": "customer-support-assistant",
        "source": "registry",
        "title": "Customer Support Assistant"
      },
      "id": "4a1a28ff-8a25-5f0f-946f-f48264d772eb",
      "type": "prompt-templates"
    }
  ]
}
```

{% /tab %}

{% /tab %}

{% tab title="401" %}
Unauthorized
{% tab title="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 title="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 %}

{% /tab %}

{% tab title="403" %}
Forbidden
{% tab title="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 title="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 %}

{% /tab %}

{% tab title="429" %}
Too many requests
{% tab title="Model" %}
API error response.

| Field                    | Type     | Description       |
| ------------------------ | -------- | ----------------- |
| errors [*required*] | [string] | A list of errors. |

{% /tab %}

{% tab title="Example" %}

```json
{
  "errors": [
    "Bad Request"
  ]
}
```

{% /tab %}

{% /tab %}

### Code Example

##### 
                  \# Curl command curl -X GET "https://api.datadoghq.com/api/v2/llm-obs/v1/prompts" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" 
                
##### 

```python
"""
List LLM Observability prompts returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.llm_observability_api import LLMObservabilityApi

# there is a valid "prompt" in the system
PROMPT_DATA_ATTRIBUTES_PROMPT_ID = environ["PROMPT_DATA_ATTRIBUTES_PROMPT_ID"]

configuration = Configuration()
configuration.unstable_operations["list_llm_obs_prompts"] = True
with ApiClient(configuration) as api_client:
    api_instance = LLMObservabilityApi(api_client)
    response = api_instance.list_llm_obs_prompts(
        filter_prompt_id=PROMPT_DATA_ATTRIBUTES_PROMPT_ID,
    )

    print(response)
```

#### Instructions

First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands:
    DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
##### 

```ruby
# List LLM Observability prompts returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.unstable_operations["v2.list_llm_obs_prompts".to_sym] = true
end
api_instance = DatadogAPIClient::V2::LLMObservabilityAPI.new

# there is a valid "prompt" in the system
PROMPT_DATA_ATTRIBUTES_PROMPT_ID = ENV["PROMPT_DATA_ATTRIBUTES_PROMPT_ID"]
opts = {
  filter_prompt_id: PROMPT_DATA_ATTRIBUTES_PROMPT_ID,
}
p api_instance.list_llm_obs_prompts(opts)
```

#### Instructions

First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands:
    DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
##### 

```go
// List LLM Observability prompts 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() {
	// there is a valid "prompt" in the system
	PromptDataAttributesPromptID := os.Getenv("PROMPT_DATA_ATTRIBUTES_PROMPT_ID")

	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	configuration.SetUnstableOperationEnabled("v2.ListLLMObsPrompts", true)
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewLLMObservabilityApi(apiClient)
	resp, r, err := api.ListLLMObsPrompts(ctx, *datadogV2.NewListLLMObsPromptsOptionalParameters().WithFilterPromptId(PromptDataAttributesPromptID))

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

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

#### Instructions

First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands:
    DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
##### 

```java
// List LLM Observability prompts returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.LlmObservabilityApi;
import com.datadog.api.client.v2.api.LlmObservabilityApi.ListLLMObsPromptsOptionalParameters;
import com.datadog.api.client.v2.model.LLMObsPromptsResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setUnstableOperationEnabled("v2.listLLMObsPrompts", true);
    LlmObservabilityApi apiInstance = new LlmObservabilityApi(defaultClient);

    // there is a valid "prompt" in the system
    String PROMPT_DATA_ATTRIBUTES_PROMPT_ID = System.getenv("PROMPT_DATA_ATTRIBUTES_PROMPT_ID");

    try {
      LLMObsPromptsResponse result =
          apiInstance.listLLMObsPrompts(
              new ListLLMObsPromptsOptionalParameters()
                  .filterPromptId(PROMPT_DATA_ATTRIBUTES_PROMPT_ID));
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling LlmObservabilityApi#listLLMObsPrompts");
      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://docs.datadoghq.com/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands:
    DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
##### 

```rust
// List LLM Observability prompts returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_llm_observability::LLMObservabilityAPI;
use datadog_api_client::datadogV2::api_llm_observability::ListLLMObsPromptsOptionalParams;

#[tokio::main]
async fn main() {
    // there is a valid "prompt" in the system
    let prompt_data_attributes_prompt_id =
        std::env::var("PROMPT_DATA_ATTRIBUTES_PROMPT_ID").unwrap();
    let mut configuration = datadog::Configuration::new();
    configuration.set_unstable_operation_enabled("v2.ListLLMObsPrompts", true);
    let api = LLMObservabilityAPI::with_config(configuration);
    let resp = api
        .list_llm_obs_prompts(
            ListLLMObsPromptsOptionalParams::default()
                .filter_prompt_id(prompt_data_attributes_prompt_id.clone()),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
```

#### Instructions

First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands:
    DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
##### 

```typescript
/**
 * List LLM Observability prompts returns "OK" response
 */

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

const configuration = client.createConfiguration();
configuration.unstableOperations["v2.listLLMObsPrompts"] = true;
const apiInstance = new v2.LLMObservabilityApi(configuration);

// there is a valid "prompt" in the system
const PROMPT_DATA_ATTRIBUTES_PROMPT_ID = process.env
  .PROMPT_DATA_ATTRIBUTES_PROMPT_ID as string;

const params: v2.LLMObservabilityApiListLLMObsPromptsRequest = {
  filterPromptId: PROMPT_DATA_ATTRIBUTES_PROMPT_ID,
};

apiInstance
  .listLLMObsPrompts(params)
  .then((data: v2.LLMObsPromptsResponse) => {
    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://docs.datadoghq.com/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands:
    DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"
{% /tab %}