> ## Documentation Index > Fetch the complete documentation index at: https://docs.mka1.com/llms.txt > Use this file to discover all available pages before exploring further. # Get an accelerator type > Retrieve one accelerator type from the curated catalog, including its workload affinity, placements, and live market fields when available. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json get /api/v1/serving/accelerators/{name} openapi: 3.1.1 info: title: MKA1 API version: 1.1.0 description: >- The MKA1 API is a RESTful API that provides access to the MKA1 platform. Learn how to get started with the API and the TypeScript SDK [here](https://mka1.apidocumentation.com/guides/getting-started). license: name: Proprietary servers: - url: https://apigw.mka1.com description: MKA1 API Gateway - url: / description: Relative server URL (configurable via SDK constructor) security: [] tags: - name: Resource Authorization description: >- Manage permissions for LLM resources. Create resources, grant/revoke permissions, and delete resources. Only resource owners can grant, revoke, or delete permissions. x-displayName: Resource Authorization - name: Embeddings description: >- Text embedding API endpoints for generating vector representations of text. Create semantic embeddings for search, clustering, and similarity matching using various embedding models. x-displayName: Embeddings - name: Feedback description: >- User feedback API for rating and commenting on chat completions. Collect thumbs up/down ratings and detailed feedback to improve model responses and track user satisfaction. x-displayName: Feedback - name: Images description: >- Image generation API endpoints for creating images from text descriptions. Generate images with control over size, quality, and style. x-displayName: Images - name: MCP Vault description: >- MCP vault API for storing user-owned MCP server configurations and encrypted credentials. Agents reference vault IDs so secrets are resolved only at tool execution time. x-displayName: MCP Vault - name: Speech description: >- Speech API endpoints for audio processing. Convert text to natural-sounding speech (TTS) or transcribe speech to text (STT) in different languages. x-displayName: Speech - name: Usage description: >- Usage tracking and analytics API for monitoring token consumption, request counts, and cost analysis. View detailed statistics per user, model, and time period. x-displayName: Usage - name: Extract description: >- Structured data extraction API for extracting information from files. Define JSON schemas to extract structured data from images, PDFs, and documents. Supports reusable schema templates. x-displayName: Extract - name: Text Classification description: >- Text classification API for categorizing text into predefined labels. Use AI models to classify text content for sentiment analysis, topic categorization, and content moderation. x-displayName: Text Classification - name: Responses description: >- Agent-powered responses API for creating AI agents with autonomous tool usage. Build conversational assistants that can use web search, file operations, image generation, code execution, computer use simulation, and MCP integrations. Supports background processing, streaming, and real-time status tracking. x-displayName: Responses - name: Files description: >- File management API for uploading, storing, and managing files with automatic expiration and S3 integration. Upload files that can be used with Assistants, Vector Stores, and other features. Files are stored in S3 with metadata tracked in PostgreSQL. Supports automatic cleanup of expired files. x-displayName: Files - name: Vector Stores description: >- Vector store API for storing and searching documents using embeddings. Create vector stores, upload files with automatic chunking and embedding generation, and perform semantic search. Files are processed asynchronously using Temporal workflows for durability. Supports automatic cleanup of expired stores and LanceDB for efficient vector storage. x-displayName: Vector Stores - name: Conversations description: >- Conversation management API for storing and retrieving conversation state across Response API calls. Create conversations, add items (user messages, assistant messages, system messages), and maintain conversation history. Supports metadata tracking and multi-turn dialogue state management. x-displayName: Conversations - name: Guardrails description: >- AI safety guardrails API for configuring content moderation and security policies. Set up ban word lists, prompt injection detection, and system prompt leakage prevention. Guardrails apply to all requests from an account and can be tested before deployment. x-displayName: Guardrails - name: Models description: >- Model listing API for discovering available models. Returns model IDs, ownership, and metadata for all registered models in the gateway. x-displayName: Models - name: Skills description: >- Skills API for managing versioned bundles of instructions and files following the Agent Skills standard. Create, version, and download reusable skill packages that include SKILL.md manifests for agent environments. x-displayName: Skills - name: Chat Completions description: >- **Deprecated: Use the Responses API (`/api/v1/llm/responses`) instead.** Chat completion endpoints with support for streaming, tool calls, and multiple providers. x-deprecated: true x-displayName: Chat Completions - name: Batches x-displayName: Batches - name: Evals x-displayName: Evals - name: Fine-Tuning x-displayName: Fine-Tuning - name: Memory Stores x-displayName: Memory Stores - name: Prompts x-displayName: Prompts - name: API Key x-displayName: API Key - name: Organization x-displayName: Organization - name: Cluster Admin x-displayName: Cluster Admin - name: Sessions description: Create, inspect, access, and terminate sandbox sessions. x-displayName: Sessions - name: Browser description: >- Connect to browser sessions through the gateway port proxy. Browser sessions expose a Chrome DevTools Protocol endpoint on port 9222. x-displayName: Browser - name: Execution description: Run shell commands and code inside an existing sandbox session. x-displayName: Execution - name: Workspace description: >- Inspect the workspace manifest, transfer files or archives, and download generated artifacts. x-displayName: Workspace - name: Sandbox Usage description: >- Aggregate sandbox usage statistics across sessions, execution, and workspace operations. x-displayName: Sandbox Usage - name: Sandbox Pricing description: >- Cluster-admin management of the sandbox compute rate card used for budgeted spend. x-displayName: Sandbox Pricing - name: Agents description: Create and manage reusable agent definitions. x-displayName: Agents - name: Agent Versions description: Inspect an agent's configuration history and roll back to a prior version. x-displayName: Agent Versions - name: Agent Runs description: Execute saved agents and inspect persisted run results. x-displayName: Agent Runs - name: Agent Connectors description: >- Connect saved agents to external messaging channels such as Telegram, including text, photo, and supported document exchange. x-displayName: Agent Connectors - name: Agent Schedules description: Create and manage scheduled or recurring saved agent runs. x-displayName: Agent Schedules - name: schema-4_other x-displayName: other - name: Budgets x-displayName: Budgets - name: Settings x-displayName: Settings - description: Long-lived inference servers. name: Deployments x-displayName: Deployments - description: Submit, monitor, and cancel fine-tune jobs. name: Fine-Tune Jobs x-displayName: Fine-Tune Jobs - description: Custom container images for deployments and jobs. name: Container Images x-displayName: Container Images - description: >- First-class training datasets: registered references or uploaded, committed objects. name: Datasets x-displayName: Datasets - description: Persistent storage for weights and checkpoints. name: Volumes x-displayName: Volumes - description: Credentials injected into your workloads. name: Secrets x-displayName: Secrets - description: Available accelerator types (GPU, NPU, TPU). name: Accelerators x-displayName: Accelerators - description: Provider-anonymous, pre-submission capacity eligibility previews. name: Eligibility x-displayName: Eligibility - description: Cluster-admin organization provisioning for serving. name: Serving Tenants x-displayName: Serving Tenants - description: >- Cluster-admin managed catalog of serving runtime recipes. Registration stores a digest-pinned manifest; only enabled recipes are deployable. name: Serving Recipes x-displayName: Serving Recipes - description: Computed cost and spend aggregates. name: Spend x-displayName: Spend paths: /api/v1/serving/accelerators/{name}: get: tags: - Accelerators summary: Get an accelerator type description: >- Retrieve one accelerator type from the curated catalog, including its workload affinity, placements, and live market fields when available. operationId: getAccelerator parameters: - in: path name: name required: true schema: title: Name type: string - name: X-On-Behalf-Of in: header required: false schema: type: string description: Optional external end-user identifier forwarded by the API gateway. responses: '200': content: application/json: schema: $ref: '#/components/schemas/AcceleratorType' description: Successful Response '401': description: Missing or invalid bearer token. '403': content: application/json: schema: $ref: '#/components/schemas/ServingError' description: Serving is not enabled for your tenant. '404': content: application/json: schema: $ref: '#/components/schemas/ServingError' description: Resource not found. security: - bearerAuth: [] x-codeSamples: - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.serving.accelerators.get(name="") # Handle response print(res) - lang: typescript label: Typescript (SDK) source: |- import { SDK } from "@meetkai/mka1"; const sdk = new SDK({ bearerAuth: "", }); async function run() { const result = await sdk.serving.accelerators.get({ name: "", }); console.log(result); } run(); - lang: csharp label: CSharp (SDK) source: |- using MeetKai.MKA1; using MeetKai.MKA1.Types.Components; var sdk = new SDK(bearerAuth: ""); var res = await sdk.Serving.Accelerators.GetAsync(name: ""); // handle response components: schemas: AcceleratorType: description: An offered accelerator type in the catalog. properties: acquirability: $ref: '#/components/schemas/Acquirability' acquirable_count: description: >- Configurations acquirable now (0 when offered is false). Absent when live market data is unavailable. title: Acquirable Count type: integer class: description: >- Coarse accelerator class. npu/tpu are reserved for future catalog entries. enum: - gpu - cpu title: Class type: string kind: default: gpu deprecated: true description: >- Deprecated: use class. Retained for SDK compatibility until the next breaking conventions pass. enum: - gpu - npu - tpu - other title: Kind type: string max_count: description: >- Max accelerators of this type per replica. For class cpu the unit is vCPUs: the maximum rentable vCPU count per replica. title: Max Count type: integer memory_gb: description: >- Per-accelerator memory in GB. Absent for class cpu: CPU capacity is sized per request (min_vcpus/min_mem_gb), not by a fixed module. title: Memory Gb type: integer name: examples: - H100 title: Name type: string offered: description: >- Whether any capacity acquirable right now matches this type. Absent when live market data is unavailable. title: Offered type: boolean placements: description: >- Placements where this accelerator exists. All catalog entries are external (marketplace-acquired) today; internal arrives with private-cluster inventory. items: enum: - internal - external type: string title: Placements type: array price_usd_hr: $ref: '#/components/schemas/AcceleratorPriceBand' vendor: examples: - nvidia - amd - intel - aws title: Vendor type: string workload_affinity: $ref: '#/components/schemas/AcceleratorWorkloadAffinity' required: - name - vendor - class - max_count - workload_affinity - placements title: AcceleratorType type: object ServingError: description: Standard error envelope. properties: error: $ref: '#/components/schemas/ErrorDetail' required: - error title: ServingError type: object Acquirability: description: >- Banded estimate of how reliably matching capacity can be acquired, computed from availability history. "unknown" means no history, never a guess. enum: - high - medium - low - unknown title: Acquirability type: string AcceleratorPriceBand: description: >- USD-per-hour price band across configurations acquirable now for an accelerator type. properties: min: title: Min type: number p50: title: P50 type: number required: - min - p50 title: AcceleratorPriceBand type: object AcceleratorWorkloadAffinity: description: >- Per-workload suitability ratings for an accelerator type, seeded from the training hardware matrix. properties: serving: $ref: '#/components/schemas/AffinityRating' training: $ref: '#/components/schemas/AffinityRating' required: - training - serving title: AcceleratorWorkloadAffinity type: object ErrorDetail: description: The body of an error response. properties: code: examples: - tenant_not_provisioned title: Code type: string message: type: string title: Message type: examples: - authorization_error title: Type type: string required: - code - message - type title: ErrorDetail type: object AffinityRating: description: >- How well an accelerator suits a workload class. Catalog data, not a scheduling guarantee. enum: - optimal - capable - unsuited title: AffinityRating type: string securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: API Key description: >- Gateway auth: send `Authorization: Bearer `. For multi-user server-side integrations, you can also send `X-On-Behalf-Of: `. ````