> ## 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 decisions usage > Retrieve usage metrics for answered decision requests. A request that fails or is rejected is not counted. Filter `models` by the ids `GET /v1/models` lists; the id in the example is a placeholder, not a model you can call. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json get /api/v1/llm/usage/decisions 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/usage/decisions: get: tags: - Usage summary: Get decisions usage description: >- Retrieve usage metrics for answered decision requests. A request that fails or is rejected is not counted. Filter `models` by the ids `GET /v1/models` lists; the id in the example is a placeholder, not a model you can call. operationId: getDecisionsUsage parameters: - name: start_time in: query required: true schema: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: Start time (Unix seconds), inclusive examples: - 1704067200 allowEmptyValue: true example: 1704067200 - name: end_time in: query required: false schema: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: End time (Unix seconds), exclusive examples: - 1704153600 allowEmptyValue: true example: 1704153600 - name: bucket_width in: query required: false schema: $ref: '#/components/schemas/BucketWidth' description: Width of each time bucket (1m, 1h, 1d), aligned to UTC examples: - 1d allowEmptyValue: true example: 1d - name: limit in: query required: false schema: type: integer minimum: 1 maximum: 1440 description: >- Maximum number of buckets per page, 1-1440. Defaults to 60 for 1m, 24 for 1h and 7 for 1d buckets; values above 168 for 1h or 31 for 1d are capped there. When the window holds more buckets, has_more is true and next_page continues examples: - 30 allowEmptyValue: true example: 7 - name: page in: query required: false schema: type: string description: >- Cursor from a previous page's next_page. Resumes at the bucket after that page; keep every other query parameter the same. A cursor issued for another start_time or bucket_width, or that resumes outside [start_time, end_time), is a 400 examples: - WzEsMTcwNDY3MjAwMCwiMWQiLDE3MDQwNjcyMDBd allowEmptyValue: true - name: user_ids in: query required: false schema: description: >- Filter by platform user IDs (the same dimension group_by=user_id reports) examples: - - user_123 - user_456 type: array items: type: string allowEmptyValue: true example: - user_123 - user_456 - name: external_user_ids in: query required: false schema: description: >- Filter by delegated end-user IDs (externalUserId, i.e. X-On-Behalf-Of subs) examples: - - sub_123 type: array items: type: string allowEmptyValue: true example: - sub_123 - name: all_orgs in: query required: false schema: type: string description: Aggregate usage across all organizations (cluster admins only) allowEmptyValue: true - name: org_ids in: query required: false schema: description: >- Filter by organization IDs (cluster admins only, implies cluster scope) examples: - - org_123 type: array items: type: string allowEmptyValue: true example: - org_123 - name: group_by in: query required: false schema: description: Group by specified fields type: array items: $ref: '#/components/schemas/DecisionsGroupBy' allowEmptyValue: true example: - model - name: models in: query required: false schema: description: Filter by model names type: array items: type: string allowEmptyValue: true example: - meetkai:decisions - 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': description: OK content: application/json: schema: type: object properties: object: const: page data: type: array items: type: object properties: object: const: bucket start_time: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: >- Unix timestamp of bucket start (inclusive). A UTC minute, hour or midnight, except for a first bucket that starts at the query's start_time end_time: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: >- Unix timestamp of bucket end (exclusive). The next UTC boundary, or the query's end_time for a last bucket that ends there results: type: array items: anyOf: - {} - type: 'null' description: Array of usage results for this time bucket required: - object - start_time - end_time - results has_more: type: boolean description: >- True when the requested window holds more buckets than this page returned; fetch them with next_page next_page: anyOf: - type: string - type: 'null' description: >- Cursor for the next page: pass it as `page` with the same query parameters to continue at the next bucket. Null on the last page as_of: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: >- Unix timestamp when these figures were computed. A cached report keeps the time it was computed, so this shows the report's age settlement_window_seconds: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: >- How long after it occurs usage stays provisional: 86400 (24 hours). Usage older than that is final and no longer changes final_through: type: integer minimum: -9007199254740991 maximum: 9007199254740991 description: >- Unix timestamp (as_of minus settlement_window_seconds) before which usage is final; usage at or after it is provisional final: type: boolean description: >- True when the whole requested window ends at or before final_through, so every figure in the report is final required: - object - data - has_more - next_page - as_of - settlement_window_seconds - final_through - final example: object: page data: - object: bucket start_time: 1704067200 end_time: 1704153600 results: - object: organization.usage.decisions.result input_tokens: 14280 output_tokens: 2100 num_model_requests: 30 project_id: null user_id: user_123 api_key_id: key_abc123 org_id: null model: meetkai:decisions has_more: false next_page: null as_of: 1704240000 settlement_window_seconds: 86400 final_through: 1704153600 final: true security: - bearerAuth: [] x-codeSamples: - lang: csharp label: CSharp (SDK) source: |- using MeetKai.MKA1; using MeetKai.MKA1.Types.Components; using MeetKai.MKA1.Types.Requests; using System.Collections.Generic; var sdk = new SDK(bearerAuth: ""); GetDecisionsUsageRequest req = new GetDecisionsUsageRequest() { StartTime = 1704067200, EndTime = 1704153600, Limit = 7, Page = "WzEsMTcwNDY3MjAwMCwiMWQiLDE3MDQwNjcyMDBd", UserIds = new List() { "user_123", "user_456", }, ExternalUserIds = new List() { "sub_123", }, OrgIds = new List() { "org_123", }, GroupBy = new List() { DecisionsGroupBy.Model, }, Models = new List() { "meetkai:decisions", }, }; var res = await sdk.Llm.Usage.DecisionsAsync(req); // handle response - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.llm.usage.decisions(start_time=1704067200, end_time=1704153600, bucket_width="1d", limit=7, page="WzEsMTcwNDY3MjAwMCwiMWQiLDE3MDQwNjcyMDBd", user_ids=[ "user_123", "user_456", ], external_user_ids=[ "sub_123", ], org_ids=[ "org_123", ], group_by=[ "model", ], models=[ "meetkai:decisions", ]) # 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.usage.decisions({ startTime: 1704067200, endTime: 1704153600, limit: 7, page: "WzEsMTcwNDY3MjAwMCwiMWQiLDE3MDQwNjcyMDBd", userIds: [ "user_123", "user_456", ], externalUserIds: [ "sub_123", ], orgIds: [ "org_123", ], groupBy: [ "model", ], models: [ "meetkai:decisions", ], }); console.log(result); } run(); - 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/models/components\"\n\t\"github.com/MeetKai/mka1-sdks/go/models/operations\"\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.Usage.Decisions(ctx, operations.GetDecisionsUsageRequest{\n StartTime: 1704067200,\n EndTime: mka1.Pointer[int64](1704153600),\n Limit: mka1.Pointer[int64](7),\n Page: mka1.Pointer(\"WzEsMTcwNDY3MjAwMCwiMWQiLDE3MDQwNjcyMDBd\"),\n UserIds: []string{\n \"user_123\",\n \"user_456\",\n },\n ExternalUserIds: []string{\n \"sub_123\",\n },\n OrgIds: []string{\n \"org_123\",\n },\n GroupBy: []components.DecisionsGroupBy{\n components.DecisionsGroupByModel,\n },\n Models: []string{\n \"meetkai:decisions\",\n },\n })\n if err != nil {\n log.Fatal(err)\n }\n if res.Object != nil {\n // handle response\n }\n}" components: schemas: BucketWidth: enum: - 1m - 1h - 1d type: string default: 1d DecisionsGroupBy: enum: - user_id - api_key_id - org_id - model type: string 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.