For AI agents: A markdown version of this page is available at https://dnd37xeb23o8n.cloudfront.net/stefon.simmons/docs-astro-web-10435/api/latest/agent-observability/list-llm-integration-accounts.md. A documentation index is available at /llms.txt.
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List LLM integration accounts

WARNINGNote: This endpoint is in Preview and is subject to change. If you have any feedback, contact Datadog support.
GEThttps://api.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.us3.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.us5.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.datadoghq.eu/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.ap1.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.ap2.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.uk1.datadoghq.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.ddog-gov.com/api/v2/llm-obs/v1/integrations/{integration}/accountshttps://api.us2.ddog-gov.com/api/v2/llm-obs/v1/integrations/{integration}/accounts

Overview

Retrieve the list of configured accounts for the specified LLM provider integration.

Arguments

Path Parameters

Name
Type
Description
integration [required]
enum

The name of the LLM integration.

Allowed enum values: openai, amazon_bedrock, anthropic, azure_openai, vertex_ai, llmproxy

Response

OK

Field
Type
Description
account_id [required]
string

Provider-specific account identifier.

account_name [required]
string

Human-readable name for the integration account.

account_region
string

Provider region associated with the account, if applicable.

azure_openai_metadata
object

Azure OpenAI-specific metadata for an integration account or inference request.

id [required]
string

Unique identifier for the integration account.

integration [required]
string

The name of the LLM provider integration.

vertex_ai_metadata
object

Vertex AI-specific metadata for an integration account or inference request.

Code Example

# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# 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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
# Path parameters
export integration="openai"

# Set your Datadog site and credentials
export DD_SITE="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}/accounts" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"