> ## 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. # Create a model alias > Claims `name` in the organization's registry and ranks the candidates once before returning. From then on a request for `name` is served by the candidate that scores best on the metric in the suite's active version, and is billed as that model. A name that is already active returns 409. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json post /api/v1/llm/models/aliases 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: Audit description: >- Audit API for org owners and admins. Trace one request end to end by its X-Request-ID: API gateway timing, the responses it created, and their model invocations and tool calls. x-displayName: Audit - 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, 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: Tool Policy description: >- Organization tool policy API. Org admins deny tool types, or require approval before their calls run, for every Responses request in the organization, including saved agent runs. The policy overrides what requests and agents configure. x-displayName: Tool Policy - 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: OAuth x-displayName: OAuth - name: Session x-displayName: Session - 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: Sandbox GitHub description: >- Connect a GitHub account, clone its repositories into sandbox sessions, and push branches and open pull requests from a session. The GitHub token stays in the sandbox service and never enters a session. x-displayName: Sandbox GitHub - name: Sandbox Environments description: >- Save reusable session configuration (repositories, environment variables, network access, and a setup script) and run the setup script in a session. x-displayName: Sandbox Environments - name: Sandbox Connectors description: >- Connect remote MCP servers (Linear, Notion, Sentry and others) to your account so Coding Harness sessions started from an environment that lists them can call their tools. The sandbox service keeps each connector's credential and never puts it in a session. x-displayName: Sandbox Connectors - 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: Billing x-displayName: Billing - name: Budgets x-displayName: Budgets - name: Settings x-displayName: Settings - name: Compute Jobs x-displayName: Compute Jobs - name: Compute Services x-displayName: Compute Services - name: Compute Catalog x-displayName: Compute Catalog - name: Compute Volumes x-displayName: Compute Volumes - name: Compute Pricing x-displayName: Compute Pricing - name: Compute Secrets x-displayName: Compute Secrets - name: Compute Usage x-displayName: Compute Usage - name: Compute Tenants x-displayName: Compute Tenants - description: Create, list, read, update, and delete repositories. name: Repositories x-displayName: Repositories - name: Tracking Experiments description: Create and query tenant experiments. x-displayName: Tracking Experiments - name: Tracking Runs description: Record and retrieve run parameters, metrics, and tags. x-displayName: Tracking Runs - name: analytics.projects x-displayName: Projects description: Create, list, rename, and archive analytics projects. - name: analytics.keys x-displayName: Capture keys description: Create and revoke project keys for sending events. - name: analytics x-displayName: Events description: Send events and query event counts or unique visitors. - name: analytics.events x-displayName: Event search description: List individual events with their properties, newest first. - name: analytics.visitors x-displayName: Visitor search description: List visitors by their latest activity, with first and last seen times. - name: generators x-displayName: generators - name: generations x-displayName: generations - name: formats x-displayName: formats - description: >- Flags, environments, evaluation, and the audit log. Administrative operations require a cluster administrator; evaluation uses an environment-specific evaluation key. name: Feature Flags x-displayName: Feature Flags - name: Service Status description: >- Current status of each service and the incident history, for this deployment's region. x-displayName: Service Status - name: Support Cases description: >- Open and follow support cases. Organization owners and admins see all of the organization's cases; other members see the cases they opened. x-displayName: Support Cases paths: /api/v1/llm/models/aliases: post: tags: - Models summary: Create a model alias description: >- Claims `name` in the organization's registry and ranks the candidates once before returning. From then on a request for `name` is served by the candidate that scores best on the metric in the suite's active version, and is billed as that model. A name that is already active returns 409. operationId: createModelAlias requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CreateModelAliasRequest' example: name: best-math-model suite_id: eval_suite_0b9c2a1e-7d43-4f0e-9a51-2c6f8e1d4b7a metric: accuracy candidate_model_ids: - meetkai:functionary-pt - meetkai:functionary-es default_model_id: meetkai:functionary-pt responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/ModelAlias' example: object: model.alias name: best-math-model suite_id: eval_suite_0b9c2a1e-7d43-4f0e-9a51-2c6f8e1d4b7a suite_version: 3 metric: accuracy higher_is_better: true task_id: null candidate_model_ids: - meetkai:functionary-pt - meetkai:functionary-es api_format: responses default_model_id: meetkai:functionary-pt pinned_model_id: null current_model_id: meetkai:functionary-es served_model_id: meetkai:functionary-es served_because: benchmark state: ok resolvable: true standings: - model_id: meetkai:functionary-pt score: 0.81 run_id: eval_run_5e1f7c3a-92b4-4d68-8f0a-b3c9d2e6a1f4 completed_at: '2026-11-09T02:14:00.000Z' sample_count: 500 failed_count: 0 eligible: true ineligible_reason: null - model_id: meetkai:functionary-es score: 0.86 run_id: eval_run_5e1f7c3a-92b4-4d68-8f0a-b3c9d2e6a1f4 completed_at: '2026-11-09T02:14:00.000Z' sample_count: 500 failed_count: 0 eligible: true ineligible_reason: null evaluated_at: '2026-11-09T02:14:05.000Z' created_by: user-org-admin-1 created_at: '2026-11-01T18:00:00.000Z' updated_by: user-org-admin-1 updated_at: '2026-11-01T18:00:00.000Z' security: - bearerAuth: [] x-codeSamples: - lang: go label: Go (SDK) source: "package main\n\nimport(\n\t\"context\"\n\tmka1 \"github.com/MeetKai/mka1-sdks/go\"\n\t\"github.com/MeetKai/mka1-sdks/go/optionalnullable\"\n\t\"github.com/MeetKai/mka1-sdks/go/models/components\"\n\t\"log\"\n)\n\nfunc main() {\n ctx := context.Background()\n\n s := mka1.New(\n mka1.WithSecurity(\"\"),\n )\n\n res, err := s.Llm.Models.CreateAlias(ctx, components.CreateModelAliasRequest{\n Name: \"best-math-model\",\n SuiteID: \"eval_suite_0b9c2a1e-7d43-4f0e-9a51-2c6f8e1d4b7a\",\n Metric: \"accuracy\",\n CandidateModelIds: []string{\n \"meetkai:functionary-pt\",\n \"meetkai:functionary-es\",\n },\n DefaultModelID: optionalnullable.From(mka1.Pointer(\"meetkai:functionary-pt\")),\n })\n if err != nil {\n log.Fatal(err)\n }\n if res.ModelAlias != nil {\n // handle response\n }\n}" - lang: csharp label: CSharp (SDK) source: |- using MeetKai.MKA1; using MeetKai.MKA1.Types.Components; using System.Collections.Generic; var sdk = new SDK(bearerAuth: ""); CreateModelAliasRequest req = new CreateModelAliasRequest() { Name = "best-math-model", SuiteId = "eval_suite_0b9c2a1e-7d43-4f0e-9a51-2c6f8e1d4b7a", Metric = "accuracy", CandidateModelIds = new List() { "meetkai:functionary-pt", "meetkai:functionary-es", }, DefaultModelId = "meetkai:functionary-pt", }; var res = await sdk.Llm.Models.CreateAliasAsync(req); // handle response - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.llm.models.create_alias(name="best-math-model", suite_id="eval_suite_0b9c2a1e-7d43-4f0e-9a51-2c6f8e1d4b7a", metric="accuracy", candidate_model_ids=[ "meetkai:functionary-pt", "meetkai:functionary-es", ], default_model_id="meetkai:functionary-pt") # 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.llm.models.createAlias({ name: "best-math-model", suiteId: "eval_suite_0b9c2a1e-7d43-4f0e-9a51-2c6f8e1d4b7a", metric: "accuracy", candidateModelIds: [ "meetkai:functionary-pt", "meetkai:functionary-es", ], defaultModelId: "meetkai:functionary-pt", }); console.log(result); } run(); components: schemas: CreateModelAliasRequest: type: object properties: name: type: string minLength: 1 maxLength: 255 description: >- The model name callers use. It is claimed in the organization's registry, so it must not already be active. suite_id: type: string minLength: 1 maxLength: 255 description: An eval suite owned by this organization. metric: type: string minLength: 1 maxLength: 128 description: >- A metric id the suite's active version declares. Its `higher_is_better` decides which score wins. task_id: anyOf: - type: string minLength: 1 maxLength: 255 - type: 'null' description: >- A task of the suite to rank on. Null ranks the metric averaged over every task, counting only runs that cover every task of the version. candidate_model_ids: type: array minItems: 2 maxItems: 16 items: $ref: '#/components/schemas/ModelId' description: >- Two to 16 active models of one API format. The alias only ever serves one of these. Order breaks ties: the earlier model wins an equal score. default_model_id: anyOf: - $ref: '#/components/schemas/ModelId' - type: 'null' description: >- A candidate to serve until a first winner exists. Null leaves the alias unresolvable until then. required: - name - suite_id - metric - candidate_model_ids additionalProperties: false ModelAlias: type: object properties: object: const: model.alias name: type: string suite_id: type: string suite_version: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: >- The suite version the last recompute ranked. Null before one could be read. metric: type: string higher_is_better: anyOf: - type: boolean - type: 'null' task_id: anyOf: - type: string - type: 'null' candidate_model_ids: type: array items: type: string api_format: $ref: '#/components/schemas/AutoEndpoint' default_model_id: anyOf: - type: string - type: 'null' pinned_model_id: anyOf: - type: string - type: 'null' current_model_id: anyOf: - type: string - type: 'null' description: The benchmark winner. Null until one exists. served_model_id: anyOf: - type: string - type: 'null' description: >- What a request for the alias is served by: the pin, else the winner, else the default. served_because: anyOf: - $ref: '#/components/schemas/ModelAliasServedBecause' - type: 'null' state: enum: - ok - waiting_for_results - metric_missing - suite_missing type: string description: >- `ok`: serving a ranked winner. `waiting_for_results`: no complete result to rank yet, so the last winner or the default holds. `metric_missing`: the suite's active version no longer declares the metric or task. `suite_missing`: the suite was deleted. The last two hold the last winner until the alias is edited. resolvable: type: boolean description: >- Whether a request for the alias resolves right now: it serves a model that is still active in the registry. standings: type: array items: $ref: '#/components/schemas/ModelAliasStanding' evaluated_at: anyOf: - type: string format: date-time - type: 'null' created_by: type: string created_at: type: string format: date-time updated_by: type: string updated_at: type: string format: date-time required: - object - name - suite_id - suite_version - metric - higher_is_better - task_id - candidate_model_ids - api_format - default_model_id - pinned_model_id - current_model_id - served_model_id - served_because - state - resolvable - standings - evaluated_at - created_by - created_at - updated_by - updated_at ModelId: type: string minLength: 1 maxLength: 255 AutoEndpoint: enum: - responses - completions - embeddings - images - transcriptions - tts - rerank type: string ModelAliasServedBecause: enum: - pinned - benchmark - default type: string ModelAliasStanding: type: object properties: model_id: type: string score: anyOf: - type: number - type: 'null' description: >- The candidate's latest value of the metric in the suite's active version. run_id: anyOf: - type: string - type: 'null' completed_at: anyOf: - type: string format: date-time - type: 'null' sample_count: anyOf: - type: number - type: 'null' failed_count: anyOf: - type: number - type: 'null' eligible: type: boolean ineligible_reason: anyOf: - enum: - inactive - api_format_changed - no_result - failed_samples type: string - type: 'null' description: >- `inactive`: no longer active in the registry, or its definition no longer loads. `api_format_changed`: still active, but its definition now has another API format than the alias. `no_result`: no completed run of the active suite version carries the metric. `failed_samples`: the latest result has failed samples, so it is partial. required: - model_id - score - run_id - completed_at - sample_count - failed_count - eligible - ineligible_reason securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: API Key description: >- Send Authorization: Bearer , using an MKA1 API key for automation or an OAuth API access token for a signed-in application. Use a dynamic security callback to refresh OAuth access tokens. Browser session-only operations still require their declared cookie. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.