> ## 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 connector > Connects the agent to a Telegram bot, validates the bot token, and registers the agent's webhook. An API key with every listed scope is required; its identity tuple and current scopes are stored as a non-widening ceiling, then revalidated with mk-authentication before every connector run; session and delegated end-user contexts are rejected. The required access policy controls which Telegram chats may invoke the agent. ## OpenAPI ````yaml https://apigw.mka1.com/speakeasy.json post /api/v1/agents/{id}/connectors 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: API Key x-displayName: API Key - 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: 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. 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: Budgets x-displayName: Budgets - name: Settings x-displayName: Settings - name: Deployments description: Long-lived inference servers. x-displayName: Deployments - name: Fine-Tune Jobs description: Submit, monitor, and cancel fine-tune jobs. x-displayName: Fine-Tune Jobs - name: Container Images description: Custom container images for deployments and jobs. x-displayName: Container Images - name: Serving Models description: Models registered for deployment and fine-tuning. x-displayName: Serving Models - name: Volumes description: Persistent storage for weights and checkpoints. x-displayName: Volumes - name: Secrets description: Credentials injected into your workloads. x-displayName: Secrets - name: Accelerators description: Available accelerator types (GPU, NPU, TPU). x-displayName: Accelerators paths: /api/v1/agents/{id}/connectors: parameters: - name: id in: path required: true schema: type: string description: The agent ID. post: tags: - Agent Connectors summary: Create a connector description: >- Connects the agent to a Telegram bot, validates the bot token, and registers the agent's webhook. An API key with every listed scope is required; its identity tuple and current scopes are stored as a non-widening ceiling, then revalidated with mk-authentication before every connector run; session and delegated end-user contexts are rejected. The required access policy controls which Telegram chats may invoke the agent. operationId: createAgentConnector 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/CreateAgentConnectorRequest' example: provider: telegram name: support-bot credentials: bot_token: 123456789:replace-with-telegram-bot-token access: mode: allowlist chat_ids: - 123456789 drop_pending_updates: true responses: '201': description: Connector created and activated. content: application/json: schema: $ref: '#/components/schemas/AgentConnector' '400': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' '401': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' '403': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' '404': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' '409': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' '502': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' '503': description: Error response content: application/json: schema: $ref: '#/components/schemas/ErrorEnvelope' security: - bearerAuth: [] x-codeSamples: - lang: python label: Python (SDK) source: |- from meetkai_mka1 import SDK with SDK( bearer_auth="", ) as sdk: res = sdk.agent_connectors.create_agent_connector(id="", provider="telegram", credentials={ "bot_token": "123456789:replace-with-telegram-bot-token", }, access={ "mode": "allowlist", "chat_ids": [ 123456789, ], }, name="support-bot") # 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.agentConnectors.createAgentConnector({ id: "", createAgentConnectorRequest: { provider: "telegram", name: "support-bot", credentials: { botToken: "123456789:replace-with-telegram-bot-token", }, access: { mode: "allowlist", chatIds: [ 123456789, ], }, }, }); 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.AgentConnectors.CreateAgentConnectorAsync( id: "", body: new MeetKai.MKA1.Types.Components.CreateAgentConnectorRequest() { Provider = CreateAgentConnectorRequestProvider.Telegram, Name = "support-bot", Credentials = new Credentials() { BotToken = "123456789:replace-with-telegram-bot-token", }, Access = new CreateAgentConnectorRequestAccess() { Mode = CreateAgentConnectorRequestMode.Allowlist, ChatIds = new List() { 123456789, }, }, } ); // handle response components: schemas: CreateAgentConnectorRequest: type: object additionalProperties: false required: - provider - credentials - access properties: provider: type: string enum: - telegram name: type: string minLength: 1 maxLength: 120 credentials: type: object additionalProperties: false required: - bot_token properties: bot_token: type: string minLength: 1 writeOnly: true description: >- Telegram bot token issued by BotFather. It is encrypted at rest and is never returned by the API. access: description: The explicit Telegram chat allowlist permitted to invoke the agent. type: object additionalProperties: false required: - mode - chat_ids properties: mode: type: string enum: - allowlist chat_ids: type: array minItems: 1 maxItems: 100 items: type: integer format: int64 drop_pending_updates: type: boolean enum: - true default: true description: >- Always true: Telegram discards updates queued before this tenancy's webhook is registered. AgentConnector: type: object additionalProperties: false required: - object - id - agent_id - provider - name - status - provider_account_id - provider_account_name - config - credentials_configured - last_error - created_at - updated_at - deleted_at properties: object: type: string enum: - agent.connector id: type: string agent_id: type: string provider: type: string enum: - telegram name: type: - string - 'null' status: type: string description: >- Connector lifecycle status, such as provisioning, activating, active, deleting, or error. provider_account_id: type: string description: The Telegram bot user ID. provider_account_name: type: - string - 'null' description: The Telegram bot username when one is available. config: $ref: '#/components/schemas/JsonValue' credentials_configured: type: boolean description: >- Whether encrypted provider credentials are stored for this connector. last_error: oneOf: - $ref: '#/components/schemas/JsonValue' - type: 'null' created_at: type: string format: date-time updated_at: type: string format: date-time deleted_at: type: - string - 'null' format: date-time ErrorEnvelope: type: object required: - error properties: error: type: object required: - message properties: message: type: string details: oneOf: - $ref: '#/components/schemas/JsonValue' - type: 'null' JsonValue: oneOf: - type: string - type: number - type: integer - type: boolean - type: 'null' - type: array items: $ref: '#/components/schemas/JsonValue' - type: object additionalProperties: $ref: '#/components/schemas/JsonValue' 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: `. ````