import { DefaultMessageMetadataByModality, JSONSchema, Modality, StreamChunk, TextOptions } from '../../types.js';
/**
 * Configuration for adapter instances
 */
export interface TextAdapterConfig {
    apiKey?: string;
    baseUrl?: string;
    timeout?: number;
    maxRetries?: number;
    headers?: Record<string, string>;
}
/**
 * Options for structured output generation.
 *
 * The internal logger is threaded through `chatOptions.logger` (inherited from
 * `TextOptions`). Adapter implementations must call `logger.request()` before
 * SDK calls, `logger.provider()` for each chunk received, and `logger.errors()`
 * in catch blocks.
 */
export interface StructuredOutputOptions<TProviderOptions extends object> {
    /** Text options for the request */
    chatOptions: TextOptions<TProviderOptions>;
    /** JSON Schema for structured output - already converted from Zod in the ai layer */
    outputSchema: JSONSchema;
}
/**
 * Result from structured output generation
 */
export interface StructuredOutputResult<T = unknown> {
    /** The parsed data conforming to the schema */
    data: T;
    /** The raw text response from the model before parsing */
    rawText: string;
}
/**
 * Text adapter interface with pre-resolved generics.
 *
 * An adapter is created by a provider function: `provider('model')` → `adapter`
 * All type resolution happens at the provider call site, not in this interface.
 *
 * Generic parameters:
 * - TModel: The specific model name (e.g., 'gpt-4o')
 * - TProviderOptions: Provider-specific options for this model (already resolved)
 * - TInputModalities: Supported input modalities for this model (already resolved)
 * - TMessageMetadata: Metadata types for content parts (already resolved)
 * - TToolCapabilities: Tuple of tool-kind strings supported by this model, resolved from `supports.tools`
 * - TToolCallMetadata: Metadata type that round-trips with tool calls (e.g. Gemini's `thoughtSignature`)
 * - TSystemPromptMetadata: Provider-typed metadata accepted on each
 *   `systemPrompts[i]` entry (e.g. Anthropic `cache_control`). Defaults to
 *   `never` — adapters without per-prompt metadata reject the `metadata`
 *   field at the call site.
 */
export interface TextAdapter<TModel extends string, TProviderOptions extends Record<string, any>, TInputModalities extends ReadonlyArray<Modality>, TMessageMetadataByModality extends DefaultMessageMetadataByModality, TToolCapabilities extends ReadonlyArray<string> = ReadonlyArray<string>, TToolCallMetadata = unknown, TSystemPromptMetadata = never> {
    /** Discriminator for adapter kind */
    readonly kind: 'text';
    /** Provider name identifier (e.g., 'openai', 'anthropic') */
    readonly name: string;
    /** The model this adapter is configured for */
    readonly model: TModel;
    /**
     * @internal Type-only properties for inference. Not assigned at runtime.
     */
    '~types': {
        providerOptions: TProviderOptions;
        inputModalities: TInputModalities;
        messageMetadataByModality: TMessageMetadataByModality;
        toolCapabilities: TToolCapabilities;
        toolCallMetadata: TToolCallMetadata;
        systemPromptMetadata: TSystemPromptMetadata;
    };
    /**
     * Stream text completions from the model
     */
    chatStream: (options: TextOptions<TProviderOptions>) => AsyncIterable<StreamChunk>;
    /**
     * Generate structured output using the provider's native structured output API.
     * This method uses stream: false and sends the JSON schema to the provider
     * to ensure the response conforms to the expected structure.
     *
     * @param options - Structured output options containing chat options and JSON schema
     * @returns Promise with the raw data (validation is done in the chat function)
     */
    structuredOutput: (options: StructuredOutputOptions<TProviderOptions>) => Promise<StructuredOutputResult<unknown>>;
    /**
     * Stream structured output using the provider's native streaming structured
     * output API (stream + response_format json_schema in a single request).
     *
     * Optional — adapters without native streaming JSON omit this method and the
     * activity layer synthesizes a stream around the non-streaming
     * `structuredOutput` call.
     *
     * Implementations must emit standard AG-UI lifecycle events (RUN_STARTED,
     * TEXT_MESSAGE_*, RUN_FINISHED) carrying raw JSON text deltas, plus a final
     * `CUSTOM` event named `structured-output.complete` whose `value` is
     * `{ object, raw, reasoning? }`.
     */
    structuredOutputStream?: (options: StructuredOutputOptions<TProviderOptions>) => AsyncIterable<StreamChunk>;
    /**
     * Declares whether the adapter supports combining `tools` and a
     * schema-constrained final answer in a single streaming request.
     *
     * When `true`, the engine wires `outputSchema` into the regular
     * `chatStream()` call and skips the separate `runStructuredFinalization`
     * round-trip. The model's natural final turn carries the
     * schema-constrained JSON text and the engine harvests it from the agent
     * loop's accumulated content.
     *
     * When `false`, `undefined`, or the method is omitted, the engine runs
     * the agent loop without `outputSchema` and then issues a separate
     * `structuredOutput` / `structuredOutputStream` call against the JSON
     * schema for finalization (the legacy path).
     *
     * The method receives the per-call `modelOptions` so providers whose
     * support depends on the resolved upstream model (e.g. OpenRouter) can
     * answer per-request. Most adapters can return a constant.
     */
    supportsCombinedToolsAndSchema?: (modelOptions?: TProviderOptions | undefined) => boolean;
}
/**
 * A TextAdapter with any/unknown type parameters.
 * Useful as a constraint in generic functions and interfaces.
 */
export type AnyTextAdapter = TextAdapter<any, any, any, any, any, any, any>;
/**
 * Abstract base class for text adapters.
 * Extend this class to implement a text adapter for a specific provider.
 *
 * Generic parameters match TextAdapter - all pre-resolved by the provider function.
 */
export declare abstract class BaseTextAdapter<TModel extends string, TProviderOptions extends Record<string, any>, TInputModalities extends ReadonlyArray<Modality>, TMessageMetadataByModality extends DefaultMessageMetadataByModality, TToolCapabilities extends ReadonlyArray<string> = ReadonlyArray<string>, TToolCallMetadata = unknown, TSystemPromptMetadata = never> implements TextAdapter<TModel, TProviderOptions, TInputModalities, TMessageMetadataByModality, TToolCapabilities, TToolCallMetadata, TSystemPromptMetadata> {
    readonly kind: "text";
    abstract readonly name: string;
    readonly model: TModel;
    '~types': {
        providerOptions: TProviderOptions;
        inputModalities: TInputModalities;
        messageMetadataByModality: TMessageMetadataByModality;
        toolCapabilities: TToolCapabilities;
        toolCallMetadata: TToolCallMetadata;
        systemPromptMetadata: TSystemPromptMetadata;
    };
    protected config: TextAdapterConfig;
    constructor(config: TextAdapterConfig | undefined, model: TModel);
    abstract chatStream(options: TextOptions<TProviderOptions>): AsyncIterable<StreamChunk>;
    /**
     * Generate structured output using the provider's native structured output API.
     * Concrete implementations should override this to use provider-specific structured output.
     */
    abstract structuredOutput(options: StructuredOutputOptions<TProviderOptions>): Promise<StructuredOutputResult<unknown>>;
    protected generateId(): string;
}