---
title: "Get Model Endpoint"
method: GET
path: "/v1/llm/model-endpoints/{model_endpoint_name}"
---

# Get Model Endpoint

`GET /v1/llm/model-endpoints/{model_endpoint_name}`

Describe the LLM Model endpoint with given name.

## Path parameters

- `model_endpoint_name` string, required

## Response `200`

Successful Response

- GetLLMModelEndpointV1Response
  - `id` string, required
  - `name` string, required
  - `model_name` string, required
  - `source` 'hugging_face', required
  - `status` 'READY' | 'UPDATE_PENDING' | 'UPDATE_IN_PROGRESS' | 'UPDATE_FAILED' | 'DELETE_IN_PROGRESS', required
  - `inference_framework` 'deepspeed' | 'text_generation_inference' | 'vllm' | 'lightllm' | 'tensorrt_llm' | 'sglang', required
  - `inference_framework_image_tag` string, nullable
  - `num_shards` integer, nullable
  - `quantize` 'bitsandbytes' | 'awq'
  - `checkpoint_path` string, nullable
  - `chat_template_override` string, nullable — A Jinja template to use for this endpoint. If not provided, will use the chat template from the checkpoint
  - `task_expires_seconds` integer, nullable — For async endpoints, how long a task can wait in queue before expiring (in seconds).
  - `queue_message_timeout_seconds` integer, nullable — For async endpoints, the queue message visibility/lock timeout in seconds (SQS VisibilityTimeout / ASB lock_duration). Note: Azure Service Bus has a maximum of 300 seconds; values above this will be clamped.
  - `spec` GetModelEndpointV1Response — unresolved $ref

## Other responses

- `422` — Validation Error

---

[API](https://skmtc.dev/scaleapi/apis/launch.md) · [All operations](https://skmtc.dev/scaleapi/apis/launch/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/scaleapi/launch/revisions/8c9bf4700384/schema)