API Registry MCP Server

/* generated using openapi-typescript-codegen -- do not edit */ /* istanbul ignore file */ /* tslint:disable */ /* eslint-disable */ import type { ChatRequest } from '../models/ChatRequest'; import type { ChatResponse } from '../models/ChatResponse'; import type { CancelablePromise } from '../core/CancelablePromise'; import { OpenAPI } from '../core/OpenAPI'; import { request as __request } from '../core/request'; export class ChatService { /** * List Available Models * List Databricks Foundation Models that support tool calling. * * Returns: * Dictionary with available models and their capabilities * @returns any Successful Response * @throws ApiError */ public static listAvailableModelsApiChatModelsGet(): CancelablePromise<Record<string, any>> { return __request(OpenAPI, { method: 'GET', url: '/api/chat/models', }); } /** * Send Chat Message * Send a message to a Databricks Foundation Model with MCP tool support. * * Args: * request: Chat request with messages, model selection, and parameters * * Returns: * Response from the model including any tool calls * @param requestBody * @returns ChatResponse Successful Response * @throws ApiError */ public static sendChatMessageApiChatMessagePost( requestBody: ChatRequest, ): CancelablePromise<ChatResponse> { return __request(OpenAPI, { method: 'POST', url: '/api/chat/message', body: requestBody, mediaType: 'application/json', errors: { 422: `Validation Error`, }, }); } /** * Execute Tool Endpoint * Execute an MCP tool and return the result. * * Args: * tool_name: Name of the tool to execute (from query parameter) * tool_args: Arguments for the tool (from request body) * * Returns: * Tool execution result * @param toolName Name of the tool to execute * @param requestBody * @returns any Successful Response * @throws ApiError */ public static executeToolEndpointApiChatExecuteToolPost( toolName: string, requestBody: Record<string, any>, ): CancelablePromise<Record<string, any>> { return __request(OpenAPI, { method: 'POST', url: '/api/chat/execute-tool', query: { 'tool_name': toolName, }, body: requestBody, mediaType: 'application/json', errors: { 422: `Validation Error`, }, }); } /** * Get Available Tools * Get all available MCP tools in OpenAI format. * * Returns: * Dictionary with tools list * @returns any Successful Response * @throws ApiError */ public static getAvailableToolsApiChatToolsGet(): CancelablePromise<Record<string, any>> { return __request(OpenAPI, { method: 'GET', url: '/api/chat/tools', }); } }