> ## 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. # Pause a fine-tuning job > Pause a running fine-tuning job. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json post /api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/pause 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: Budgets x-displayName: Budgets - name: Tables description: Manage table schemas, data operations, search, and indices. x-displayName: Tables - name: Text Store description: >- Manage text stores with hybrid (vector + full-text) search and grouped text sets. x-displayName: Text Store - name: GraphRAG description: >- Construct and query lightweight knowledge graphs backed by Redis and LanceDB. x-displayName: GraphRAG - name: API Key x-displayName: API Key - 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 x-displayName: Sandbox Usage - 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 Schedules description: Create and manage scheduled or recurring saved agent runs. x-displayName: Agent Schedules - name: schema-5_other x-displayName: other paths: /api/v1/llm/fine_tuning/jobs/{fine_tuning_job_id}/pause: post: tags: - Fine-Tuning summary: Pause a fine-tuning job description: Pause a running fine-tuning job. operationId: pauseFineTuningJob parameters: - name: fine_tuning_job_id in: path required: true schema: type: string example: ftjob_aa87e2b1112a455b8deabed784372198 responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/FineTuningJob' security: - bearerAuth: [] x-codeSamples: - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.llm.fine_tuning.pause(fine_tuning_job_id="ftjob_aa87e2b1112a455b8deabed784372198") # 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.fineTuning.pause({ fineTuningJobId: "ftjob_aa87e2b1112a455b8deabed784372198", }); 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.Llm.FineTuning.PauseAsync(fineTuningJobId: "ftjob_aa87e2b1112a455b8deabed784372198"); // handle response components: schemas: FineTuningJob: type: object properties: id: type: string object: const: fine_tuning.job created_at: type: integer minimum: -9007199254740991 maximum: 9007199254740991 model: type: string training_file: type: string validation_file: anyOf: - type: string - type: 'null' fine_tuned_model: anyOf: - type: string - type: 'null' organization_id: type: string status: $ref: '#/components/schemas/JobStatus' result_files: type: array items: type: string seed: type: integer minimum: -9007199254740991 maximum: 9007199254740991 hyperparameters: type: object properties: batch_size: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' learning_rate_multiplier: anyOf: - anyOf: - const: auto - type: number - type: 'null' n_epochs: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' method: anyOf: - $ref: '#/components/schemas/Method' - type: 'null' finished_at: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' estimated_finish: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' trained_tokens: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' error: anyOf: - $ref: '#/components/schemas/FineTuningError' - type: 'null' integrations: anyOf: - type: array items: $ref: '#/components/schemas/IntegrationObject' - type: 'null' metadata: anyOf: - type: object propertyNames: type: string additionalProperties: type: string - type: 'null' suffix: anyOf: - type: string - type: 'null' required: - id - object - created_at - model - training_file - organization_id - status - result_files - seed - hyperparameters JobStatus: enum: - validating_files - queued - running - succeeded - failed - cancelled Method: type: object properties: type: enum: - supervised - dpo - reinforcement supervised: anyOf: - type: object properties: hyperparameters: anyOf: - $ref: '#/components/schemas/SupervisedHyperparameters' - type: 'null' - type: 'null' dpo: anyOf: - type: object properties: hyperparameters: anyOf: - $ref: '#/components/schemas/DpoHyperparameters' - type: 'null' - type: 'null' reinforcement: anyOf: - type: object properties: grader: anyOf: - anyOf: - type: object properties: type: const: string_check name: type: string input: type: string reference: type: string operation: enum: - eq - ne - like - ilike required: - type - name - input - reference - operation - type: object properties: type: const: text_similarity name: type: string input: type: string reference: type: string evaluation_metric: enum: - cosine - fuzzy_match - bleu - gleu - meteor - rouge_1 - rouge_2 - rouge_3 - rouge_4 - rouge_5 - rouge_l required: - type - name - input - reference - evaluation_metric - type: object properties: type: const: python name: type: string source: type: string image_tag: anyOf: - type: string - type: 'null' required: - type - name - source - type: object properties: type: const: score_model name: type: string model: type: string input: type: array items: type: object properties: role: type: string content: type: string required: - role - content range: anyOf: - type: array items: type: number - type: 'null' sampling_params: anyOf: - type: object properties: max_completions_tokens: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' reasoning_effort: anyOf: - enum: - low - medium - high - type: 'null' seed: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' temperature: anyOf: - type: number - type: 'null' top_p: anyOf: - type: number - type: 'null' - type: 'null' required: - type - name - model - input - type: object properties: type: const: label_model name: type: string model: type: string input: type: array items: type: object properties: role: type: string content: type: string required: - role - content labels: type: array items: type: string passing_labels: type: array items: type: string required: - type - name - model - input - labels - passing_labels - type: object properties: type: const: multi name: type: string graders: type: object propertyNames: type: string additionalProperties: anyOf: - type: object properties: type: const: string_check name: type: string input: type: string reference: type: string operation: enum: - eq - ne - like - ilike required: - type - name - input - reference - operation - type: object properties: type: const: text_similarity name: type: string input: type: string reference: type: string evaluation_metric: enum: - cosine - fuzzy_match - bleu - gleu - meteor - rouge_1 - rouge_2 - rouge_3 - rouge_4 - rouge_5 - rouge_l required: - type - name - input - reference - evaluation_metric - type: object properties: type: const: python name: type: string source: type: string image_tag: anyOf: - type: string - type: 'null' required: - type - name - source - type: object properties: type: const: score_model name: type: string model: type: string input: type: array items: type: object properties: role: type: string content: type: string required: - role - content range: anyOf: - type: array items: type: number - type: 'null' sampling_params: anyOf: - type: object properties: max_completions_tokens: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' reasoning_effort: anyOf: - enum: - low - medium - high - type: 'null' seed: anyOf: - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' temperature: anyOf: - type: number - type: 'null' top_p: anyOf: - type: number - type: 'null' - type: 'null' required: - type - name - model - input - type: object properties: type: const: label_model name: type: string model: type: string input: type: array items: type: object properties: role: type: string content: type: string required: - role - content labels: type: array items: type: string passing_labels: type: array items: type: string required: - type - name - model - input - labels - passing_labels calculate_output: type: string required: - type - name - graders - calculate_output hyperparameters: anyOf: - $ref: '#/components/schemas/ReinforcementHyperparameters' - type: 'null' required: - grader - type: 'null' required: - type FineTuningError: type: object properties: code: type: string message: type: string param: anyOf: - type: string - type: 'null' required: - code - message IntegrationObject: type: object properties: type: const: wandb wandb: type: object properties: project: type: string description: W&B project name entity: anyOf: - type: string - type: 'null' description: W&B entity/team name: anyOf: - type: string - type: 'null' description: Run display name tags: anyOf: - type: array items: type: string - type: 'null' description: Tags for the run required: - project required: - type - wandb SupervisedHyperparameters: type: object properties: batch_size: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of examples in each batch learning_rate_multiplier: anyOf: - anyOf: - const: auto - type: number - type: 'null' description: Scaling factor for learning rate n_epochs: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of epochs to train for DpoHyperparameters: type: object properties: batch_size: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of examples in each batch beta: anyOf: - anyOf: - const: auto - type: number - type: 'null' description: DPO beta parameter controlling alignment strictness learning_rate_multiplier: anyOf: - anyOf: - const: auto - type: number - type: 'null' description: Scaling factor for learning rate n_epochs: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of epochs to train for ReinforcementHyperparameters: type: object properties: batch_size: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of examples in each batch compute_multiplier: anyOf: - anyOf: - const: auto - type: number - type: 'null' description: Scales compute for exploration during training eval_interval: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of steps between evaluations eval_samples: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of samples generated per eval step learning_rate_multiplier: anyOf: - anyOf: - const: auto - type: number - type: 'null' description: Scaling factor for learning rate n_epochs: anyOf: - anyOf: - const: auto - type: integer minimum: -9007199254740991 maximum: 9007199254740991 - type: 'null' description: Number of epochs to train for reasoning_effort: anyOf: - enum: - default - low - medium - high - type: 'null' description: Reasoning effort level 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: `. ````