> ## 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 a request trace > Returns the end-to-end trace of one API request: its timing at the API gateway, every response it created (including agents it called), and each response's model invocations and tool calls with durations. Look it up by the `X-Request-ID` returned on every response, or by the API gateway's own request ID. Org owners and admins only, scoped to their own organization. Requests audited before request IDs were recorded show their gateway timing but no responses. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json get /api/v1/llm/audit/requests/{request_id}/trace 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: 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: 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 paths: /api/v1/llm/audit/requests/{request_id}/trace: get: tags: - Audit summary: Get a request trace description: >- Returns the end-to-end trace of one API request: its timing at the API gateway, every response it created (including agents it called), and each response's model invocations and tool calls with durations. Look it up by the `X-Request-ID` returned on every response, or by the API gateway's own request ID. Org owners and admins only, scoped to their own organization. Requests audited before request IDs were recorded show their gateway timing but no responses. operationId: getRequestTrace parameters: - name: request_id in: path required: true schema: type: string minLength: 1 maxLength: 1024 description: X-Request-ID, X-Correlation-ID or API gateway request ID example: 3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12 responses: '200': description: OK content: application/json: schema: type: object properties: object: const: audit.request_trace request_id: type: string description: The ID that was looked up truncated: type: boolean description: >- True when more gateway records or responses matched than are returned gateway: type: array items: type: object properties: kong_request_id: type: string request_id: anyOf: - type: string - type: 'null' description: >- The X-Request-ID returned to the client; null on records stored before it was kept correlation_id: anyOf: - type: string - type: 'null' description: >- The ID responses are joined on: the client's X-Correlation-ID when sent, otherwise the X-Request-ID trace_id: anyOf: - type: string - type: 'null' method: anyOf: - type: string - type: 'null' path: anyOf: - type: string - type: 'null' status_code: anyOf: - type: number - type: 'null' started_at: anyOf: - type: string format: date-time - type: 'null' completed_at: anyOf: - type: string format: date-time - type: 'null' latency_ms: anyOf: - type: number - type: 'null' description: Total time at the edge gateway_latency_ms: anyOf: - type: number - type: 'null' description: Time spent in the API gateway itself upstream_latency_ms: anyOf: - type: number - type: 'null' description: Time the upstream service took required: - kong_request_id - request_id - correlation_id - trace_id - method - path - status_code - started_at - completed_at - latency_ms - gateway_latency_ms - upstream_latency_ms description: Edge records for the request responses: type: array items: type: object properties: response_id: type: string parent_response_id: anyOf: - type: string - type: 'null' description: >- The response whose agent tool started this one; null for the request's own responses conversation_id: anyOf: - type: string - type: 'null' status: anyOf: - type: string - type: 'null' requested_model: anyOf: - type: string - type: 'null' effective_model: anyOf: - type: string - type: 'null' started_at: anyOf: - type: string format: date-time - type: 'null' completed_at: anyOf: - type: string format: date-time - type: 'null' duration_ms: anyOf: - type: number - type: 'null' spans: type: array items: type: object properties: kind: enum: - model - tool type: string description: A model invocation or a tool call name: anyOf: - type: string - type: 'null' description: >- Model that served the invocation, or the tool's name call_id: anyOf: - type: string - type: 'null' description: Tool call ID; null for model invocations step: anyOf: - type: number - type: 'null' description: Agent loop step of a model invocation attempt: anyOf: - type: number - type: 'null' description: Attempt within the step (retries and failover) status: anyOf: - type: string - type: 'null' started_at: anyOf: - type: string format: date-time - type: 'null' completed_at: anyOf: - type: string format: date-time - type: 'null' description: Null while the span is still running duration_ms: anyOf: - type: number - type: 'null' required: - kind - name - call_id - step - attempt - status - started_at - completed_at - duration_ms description: >- Model invocations and tool calls, in the order they were first recorded required: - response_id - parent_response_id - conversation_id - status - requested_model - effective_model - started_at - completed_at - duration_ms - spans description: Responses the request created, including agents it called required: - object - request_id - truncated - gateway - responses description: End-to-end trace of one API request example: object: audit.request_trace request_id: 3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12 truncated: false gateway: - kong_request_id: a1b2c3d4e5f60718293a4b5c6d7e8f90 request_id: 3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12 correlation_id: 3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12 trace_id: null method: POST path: /api/v1/llm/responses status_code: 200 started_at: '2026-10-26T00:00:00.000Z' completed_at: '2026-10-26T00:00:03.000Z' latency_ms: 3000 gateway_latency_ms: 2 upstream_latency_ms: 2990 responses: - response_id: resp_0a1b2c3d parent_response_id: null conversation_id: null status: completed requested_model: auto effective_model: meetkai:functionary-urdu-mini-pak started_at: '2026-10-26T00:00:00.100Z' completed_at: '2026-10-26T00:00:02.900Z' duration_ms: 2800 spans: - kind: model name: meetkai:functionary-urdu-mini-pak call_id: null step: 1 attempt: 1 status: completed started_at: '2026-10-26T00:00:00.200Z' completed_at: '2026-10-26T00:00:01.200Z' duration_ms: 1000 - kind: tool name: web_search call_id: call_4e5f6a7b step: null attempt: null status: completed started_at: '2026-10-26T00:00:01.300Z' completed_at: '2026-10-26T00:00:01.800Z' duration_ms: 500 security: - bearerAuth: [] x-codeSamples: - lang: csharp label: CSharp (SDK) source: >- using MeetKai.MKA1; using MeetKai.MKA1.Types.Components; var sdk = new SDK(bearerAuth: ""); var res = await sdk.Llm.Audit.GetRequestTraceAsync(requestId: "3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12"); // handle response - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.llm.audit.get_request_trace(request_id="3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12") # 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.audit.getRequestTrace({ requestId: "3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12", }); 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\"log\"\n)\n\nfunc main() {\n ctx := context.Background()\n\n s := mka1.New(\n mka1.WithSecurity(\"\"),\n )\n\n res, err := s.Llm.Audit.GetRequestTrace(ctx, \"3f6c1b2e-8d4a-4c1e-9b7f-2a5d6e8f9c01#12\")\n if err != nil {\n log.Fatal(err)\n }\n if res.Object != nil {\n // handle response\n }\n}" components: 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: `. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.