import { Observable } from 'rxjs';
import { AiFunctionMetadata } from '../../internal-common/src/public-types/ai-function.public-types';
import { AiQueryOptions, AiQueryResponse, ExecuteAiApiResponse } from '../../internal-common/src/public-types/ai-query.public-types';
import { AiAgentClientOptions } from './agent/ai-agent-client';
import { AiAgentReference } from './agent/ai-agent-client-reference';
import { AiAudioClient } from './ai-audio-client';
import { AiFilesClient } from './ai-files-client';
import { AiImageClient } from './ai-image-client';
import { AiKnowledgeBaseReference } from './ai-knowledge-base/ai-knowledge-base-client-reference';
import { AiMatchMakingClient } from './ai-matchmaking-client';
import { AiAgent, AiAgentApiIntegrationOptions, AiAgentId, AiFileProviderType, AiKnowledgeBase, AiKnowledgeBaseId, AiProviderType, AiSessionContext, AiStatusMessage, ApplicationAiSettings, IntegrationId, JobId, ListChatModelsRequest, ModelIdSpec, SecretKey } from './public-types';
/**
 * AiClient class serves as a facade for interacting with different AI services.
 * It provides simplified access to AI chatbot and assistant functionalities
 * through its methods.
 * @category AI
 */
export declare class AiClient {
    private readonly socketManager;
    private readonly rpcManager;
    private readonly jobClient;
    private readonly backendFunctionManager;
    private readonly getMetricAnnotations;
    private aiAgentClient?;
    private aiKnowledgeBaseClient?;
    /**
     * Returns a reference to the specified AI agent.
     * If no ID is provided, the built-in agent is used by default.
     */
    agent(agentId?: AiAgentId, options?: AiAgentClientOptions | undefined): AiAgentReference;
    /**
     * Returns a reference to the specified AI knowledge base.
     */
    knowledgeBase(knowledgeBaseId: AiKnowledgeBaseId): AiKnowledgeBaseReference;
    /**
     * Lists all available AI agents.
     */
    listAgents(): Promise<Array<AiAgent>>;
    /**
     * Lists all available AI Knowledge Bases.
     */
    listKnowledgeBases(): Promise<Array<AiKnowledgeBase>>;
    /**
     * Lists all available AI functions in the application.
     * @returns A promise that resolves to an array of AI function metadata.
     */
    listFunctions(): Promise<Array<AiFunctionMetadata>>;
    /**
     * Returns a list of all available AI chat models.
     * Includes both Squid-provided vendor models and custom integration models.
     * Vendor models carry a human-readable `description`. Deprecated vendor models are
     * included only when `options.includeDeprecated` is true and are marked with `replacedBy`.
     */
    listChatModels(options?: ListChatModelsRequest): Promise<ModelIdSpec[]>;
    /**
     * Retrieves an AI image client.
     */
    image(): AiImageClient;
    /**
     * Retrieves an AI audio client.
     */
    audio(): AiAudioClient;
    /**
     * Retrieves an AI match-making client.
     * @deprecated - Use `knowledgebase('kbId').searchContextsWith*()` instead.
     */
    matchMaking(): AiMatchMakingClient;
    /**
     * Creates a client to manage files for a specific AI provider.
     *
     * @param provider - The AI provider (openai, gemini, or anthropic).
     * @returns An AiFilesClient bound to the specified provider.
     * @example
     * ```typescript
     * const openaiFiles = squid.ai().files('openai');
     * const fileId = await openaiFiles.uploadFile({ file });
     * await openaiFiles.deleteFile(fileId);
     * ```
     */
    files(provider: AiFileProviderType): AiFilesClient;
    /**
     * Executes an AI query using a specific DB integration, sending a prompt to the AI and returning its response.
     * This function allows for direct interaction with the AI's capabilities by sending text prompts and receiving
     * the AI's responses, which can be used for various applications such as automating tasks, generating content,
     * or obtaining information.
     *
     * @param integrationId The identifier for the DB integration which is used to direct the query to the
     *                      appropriate DB.
     * @param prompt        The text prompt to send to the AI. This should be formulated in a way that the AI can
     *                      understand and respond to, taking into account the nature of the task or the information
     *                      sought.
     * @param options       Additional options to customize the query execution.
     * @param abortSignal   Optional signal used to abort the underlying request. When the signal aborts, the in-flight
     *                      HTTP request is cancelled and its promise rejects, allowing callers to bound a single call
     *                      without leaking the request.
     * @returns             A promise that resolves to an `ExecuteAiQueryResponse`. This response includes the AI's
     *                      reply to the provided prompt, along with any other relevant information that is part of
     *                      the AI's response. The promise can be awaited to handle the response asynchronously.
     *
     * @example
     * ```
     * const response = await squid.ai().executeAiQuery(myDbIntegrationId, "How many transactions ran yesterday?");
     * console.log(response);
     * ```
     *
     * Can be used with an API key or using a security rule with @secureAiQuery() decorator.
     *
     * For more details on the usage and capabilities of the AI Assistant, refer to the documentation provided at
     * {@link https://docs.squid.cloud/docs/ai}.
     */
    executeAiQuery(integrationId: IntegrationId, prompt: string, options?: AiQueryOptions, abortSignal?: AbortSignal): Promise<AiQueryResponse>;
    /**
     * Executes an AI-powered API call using a specific integration.
     * The AI will select appropriate endpoints, generate request bodies,
     * and analyze responses to answer the provided prompt.
     *
     * @param integrationId - The API integration to use
     * @param prompt - Natural language description of what to accomplish
     * @param options - Optional configuration including allowed endpoints and verbose updates
     * @param sessionContext - Optional session context for audit trails and tracing
     * @returns Promise resolving to the API call result with answer and execution details
     */
    executeAiApiCall(integrationId: IntegrationId, prompt: string, options?: AiAgentApiIntegrationOptions, sessionContext?: AiSessionContext): Promise<ExecuteAiApiResponse>;
    /**
     * Returns name of the secret that stores API key for the given AI provider type.
     * This API key is used for all requests to the AI provider done from the application.
     */
    getApplicationAiSettings(): Promise<ApplicationAiSettings>;
    /** Sets new application AI settings. Overwrites the existing value. */
    setApplicationAiSettings(settings: ApplicationAiSettings): Promise<void>;
    /**
     * Sets the name of the secret that stores API key for the given AI provider type.
     * This API key is used for all requests to the AI provider done from the application.
     * To delete the existing secret key use 'undefined' for the name of the secret.
     * Returns the updated state of the AI application settings.
     */
    setAiProviderApiKeySecret(providerType: AiProviderType, secretKey: SecretKey | undefined): Promise<ApplicationAiSettings>;
    /**
     * Observes live status messages for all AI updates.
     * @param jobId (Optional) If provided, filters status updates to only those related to the given job ID.
     */
    observeStatusUpdates(jobId?: JobId): Observable<AiStatusMessage>;
    private getAiAgentClient;
    private getAiKnowledgeBaseClient;
}