---
title: "List LLM integration accounts"
method: GET
path: "/api/v2/llm-obs/v1/integrations/{integration}/accounts"
tags: ["LLM Observability"]
---

# List LLM integration accounts

`GET /api/v2/llm-obs/v1/integrations/{integration}/accounts`

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

## Path parameters

- `integration` 'openai' | 'amazon_bedrock' | 'anthropic' | 'azure_openai' | 'vertex_ai' | 'llmproxy', required — The name of a supported LLM provider integration.

## Response `200`

OK

- LLMObsIntegrationAccount[]
  - `account_id` string, required — Provider-specific account identifier.
  - `account_name` string, required — Human-readable name for the integration account.
  - `account_region` string — Provider region associated with the account, if applicable.
  - `azure_openai_metadata` LLMObsAzureOpenAIMetadata — Azure OpenAI-specific metadata for an integration account or inference request.
    - `deployment_id` string — The Azure OpenAI deployment ID.
    - `model_version` string — The model version deployed in Azure.
    - `resource_name` string — The Azure OpenAI resource name.
  - `id` string, required — Unique identifier for the integration account.
  - `integration` string, required — The name of the LLM provider integration.
  - `vertex_ai_metadata` LLMObsVertexAIMetadata — Vertex AI-specific metadata for an integration account or inference request.
    - `location` string — The Vertex AI region.
    - `project` string — The Google Cloud project ID.
    - `project_ids` string[] — List of Google Cloud project IDs available to the service account.

## Other responses

- `400` — Bad Request
- `401` — Unauthorized
- `403` — Forbidden
- `429` — Too many requests

---

[API](https://skmtc.net/datadog/apis/api-v2.md) · [All operations](https://skmtc.net/datadog/apis/api-v2/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/datadog/api-v2/revisions/da68bf029e4c/schema)