---
title: "List Deployment Shapes"
method: GET
path: "/v1/accounts/{account_id}/deploymentShapes"
tags: ["gateway.openapi_Gateway"]
---

# List Deployment Shapes

`GET /v1/accounts/{account_id}/deploymentShapes`

## Path parameters

- `account_id` string, required

## Query parameters

- `pageSize` integer
- `pageToken` string
- `filter` string
- `orderBy` string
- `readMask` string
- `targetModel` string

## Response `200`

A successful response.

- GatewayListDeploymentShapesResponse
  - `deploymentShapes` GatewayDeploymentShape[]
    - `name` string
    - `displayName` string — Human-readable display name of the deployment shape. e.g. "My Deployment Shape" Must be fewer than 64 characters long.
    - `description` string — The description of the deployment shape. Must be fewer than 1000 characters long.
    - `createTime` string, date-time — The creation time of the deployment shape.
    - `updateTime` string, date-time — The update time for the deployment shape.
    - `baseModel` string, required
    - `modelType` string — The model type of the base model.
    - `parameterCount` string, int64 — The parameter count of the base model .
    - `acceleratorCount` integer — The number of accelerators used per replica. If not specified, the default is the estimated minimum required by the base model.
    - `acceleratorType` 'ACCELERATOR_TYPE_UNSPECIFIED' | 'NVIDIA_A100_80GB' | 'NVIDIA_H100_80GB' | 'AMD_MI300X_192GB' | 'NVIDIA_A10G_24GB' | 'NVIDIA_A100_40GB' | 'NVIDIA_L4_24GB' | 'NVIDIA_H200_141GB' | 'NVIDIA_B200_180GB' | 'AMD_MI325X_256GB' | 'AMD_MI350X_288GB'
    - `precision` 'PRECISION_UNSPECIFIED' | 'FP16' | 'FP8' | 'FP8_MM' | 'FP8_AR' | 'FP8_MM_KV_ATTN' | 'FP8_KV' | 'FP8_MM_V2' | 'FP8_V2' | 'FP8_MM_KV_ATTN_V2' | 'NF4' | 'FP4' | 'BF16' | 'FP4_BLOCKSCALED_MM' | 'FP4_MX_MOE'
    - `disableDeploymentSizeValidation` boolean — If true, the deployment size validation is disabled.
    - `enableAddons` boolean — If true, LORA addons are enabled for deployments created from this shape.
    - `draftTokenCount` integer — The number of candidate tokens to generate per step for speculative decoding. Default is the base model's draft_token_count.
    - `draftModel` string — The draft model name for speculative decoding. e.g. accounts/fireworks/models/my-draft-model If empty, speculative decoding using a draft model is disabled. Default is the base model's default_draft_model. this behavior.
    - `ngramSpeculationLength` integer — The length of previous input sequence to be considered for N-gram speculation.
    - `enableSessionAffinity` boolean — Whether to apply sticky routing based on `user` field.
    - `numLoraDeviceCached` integer
    - `maxContextLength` integer — The maximum context length supported by the model (context window). If set to 0 or not specified, the model's default maximum context length will be used.
    - `presetType` 'PRESET_TYPE_UNSPECIFIED' | 'MINIMAL' | 'FAST' | 'THROUGHPUT' | 'FULL_PRECISION' | 'AGENTIC_CODING' | 'CHAT' | 'SUMMARIZATION'
  - `nextPageToken` string — A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.
  - `totalSize` integer — The total number of deployment shapes.

---

[API](https://skmtc.net/fw-ai-external/apis/gateway-rest-api.md) · [All operations](https://skmtc.net/fw-ai-external/apis/gateway-rest-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/fw-ai-external/gateway-rest-api/revisions/29a1e4db152c/schema)