> ## 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. # Update guardrails policy > Replace a guardrails policy. Omit team_id to set the org-wide policy (org admin only); provide team_id to set that team's additional policy (org admins may target any team in their org, other callers only their own team). The org-wide policy applies to every team; a team policy is enforced in addition to it — configuring a team policy never weakens the org-wide one. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json put /api/v1/llm/guardrails 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/guardrails: put: tags: - Guardrails summary: Update guardrails policy description: >- Replace a guardrails policy. Omit team_id to set the org-wide policy (org admin only); provide team_id to set that team's additional policy (org admins may target any team in their org, other callers only their own team). The org-wide policy applies to every team; a team policy is enforced in addition to it — configuring a team policy never weakens the org-wide one. operationId: updateGuardrails parameters: - name: X-On-Behalf-Of in: header required: false schema: type: string description: Optional external end-user identifier forwarded by the API gateway. requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/UpdateGuardrailsRequest' example: guardrails: - mode: ban_words enabled: true config: words: - spam - inappropriate team_id: team-alpha responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/UpdateGuardrailsResponse' example: object: guardrails_settings guardrails: - mode: ban_words enabled: true config: words: - spam - inappropriate team_id: team-alpha updated_at: 1704067200 security: - bearerAuth: [] x-codeSamples: - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.guardrails.update_guardrails(guardrails=[ { "mode": "ban_words", "enabled": True, "config": { "words": [ "spam", "inappropriate", ], }, }, ], team_id="team-alpha") # 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.guardrails.updateGuardrails({ updateGuardrailsRequest: { guardrails: [ { mode: "ban_words", enabled: true, config: { words: [ "spam", "inappropriate", ], }, }, ], teamId: "team-alpha", }, }); console.log(result); } run(); - lang: csharp label: CSharp (SDK) source: >- using MeetKai.MKA1; using MeetKai.MKA1.Types.Components; using System.Collections.Generic; var sdk = new SDK(bearerAuth: ""); var res = await sdk.Guardrails.UpdateGuardrailsAsync(body: new MeetKai.MKA1.Types.Components.UpdateGuardrailsRequest() { Guardrails = new List() { GuardrailConfig.CreateBanWords( new BanWordsGuardrail() { Config = new BanWordsConfig() { Words = new List() { "spam", "inappropriate", }, }, } ), }, TeamId = "team-alpha", }); // handle response components: schemas: UpdateGuardrailsRequest: type: object properties: guardrails: type: array items: $ref: '#/components/schemas/GuardrailConfig' description: List of guardrails to configure team_id: anyOf: - type: string minLength: 1 - type: 'null' description: >- Target team for this policy. Omit or pass null to set the org-wide policy that applies to every team (org admin only). Non-admin callers may only target their own team. required: - guardrails UpdateGuardrailsResponse: type: object properties: object: const: guardrails_settings guardrails: type: array items: $ref: '#/components/schemas/GuardrailConfig' team_id: anyOf: - type: string - type: 'null' description: Team this policy targets; null for the org-wide policy updated_at: type: number description: Unix timestamp of when the policy was updated required: - object - guardrails - team_id - updated_at GuardrailConfig: anyOf: - $ref: '#/components/schemas/BanWordsGuardrail' - $ref: '#/components/schemas/PromptInjectionGuardrail' - $ref: '#/components/schemas/LeakageGuardrail' discriminator: propertyName: mode mapping: ban_words: $ref: '#/components/schemas/BanWordsGuardrail' prompt_injection: $ref: '#/components/schemas/PromptInjectionGuardrail' leakage: $ref: '#/components/schemas/LeakageGuardrail' BanWordsGuardrail: type: object properties: mode: const: ban_words enabled: type: boolean default: true description: Whether this guardrail is enabled check_output: type: boolean description: Also apply this guardrail to model output, not just the request config: $ref: '#/components/schemas/BanWordsConfig' description: Banned words configuration required: - mode description: Banned words guardrail PromptInjectionGuardrail: type: object properties: mode: const: prompt_injection enabled: type: boolean default: true description: Whether this guardrail is enabled check_output: type: boolean description: Also apply this guardrail to model output, not just the request config: $ref: '#/components/schemas/PromptInjectionConfig' description: Prompt injection configuration required: - mode description: Prompt injection guardrail LeakageGuardrail: type: object properties: mode: const: leakage enabled: type: boolean default: true description: Whether this guardrail is enabled check_output: type: boolean description: Also apply this guardrail to model output, not just the request config: $ref: '#/components/schemas/LeakageConfig' description: Leakage configuration required: - mode description: Leakage guardrail BanWordsConfig: type: object properties: words: type: array items: type: string default: [] description: List of banned words or phrases rejection_message: type: string default: >- I'm sorry, but I can't process this request as it contains content that isn't allowed. Please rephrase your message. description: The message to return when this guardrail is triggered description: Configuration for banned words guardrail PromptInjectionConfig: type: object properties: threshold: type: number minimum: 0 maximum: 1 default: 0.7 description: Detection threshold (0-1) rejection_message: type: string default: >- I'm sorry, but I can't process this request. Please rephrase your message in a different way. description: The message to return when this guardrail is triggered description: Configuration for prompt injection detection guardrail LeakageConfig: type: object properties: threshold: type: number minimum: 0 maximum: 1 default: 0.7 description: Detection threshold (0-1) rejection_message: type: string default: >- I'm sorry, but I can't help with that type of request. Please ask me something else. description: The message to return when this guardrail is triggered description: Configuration for system prompt leakage detection guardrail 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: `. ````