/**
 * Low-level request assembly: flatten a ModelConfig into backend calls.
 *
 * Ported from PSYCHE src/llm/request_builder.py. Does NOT own: retry,
 * fallback, tool loop, provider selection. Those live in api.ts, tool-loop.ts,
 * runtime.ts.
 *
 * @task T1394 (T1386-W8)
 * @epic T1386
 */
import type { CompletionResult, ProviderBackend, StreamChunk } from './backend.js';
import type { ModelConfig, PromptCachePolicy } from './types-config.js';
/** Flatten ModelConfig optional knobs into extra_params dict. */
export declare function buildConfigExtraParams(config: ModelConfig): Record<string, unknown>;
/** Parameters for executeCompletion and executeStream. */
export interface ExecuteParams {
    messages: Array<Record<string, unknown>>;
    maxTokens: number;
    tools?: Array<Record<string, unknown>> | null;
    toolChoice?: string | Record<string, unknown> | null;
    responseFormat?: (new (...args: unknown[]) => unknown) | Record<string, unknown> | null;
    stop?: string[] | null;
    cachePolicy?: PromptCachePolicy | null;
    extraParams?: Record<string, unknown> | null;
}
/**
 * Execute a non-streaming LLM completion via the backend.
 */
export declare function executeCompletion(backend: ProviderBackend, config: ModelConfig, params: ExecuteParams): Promise<CompletionResult>;
/**
 * Execute a streaming LLM call via the backend.
 */
export declare function executeStream(backend: ProviderBackend, config: ModelConfig, params: ExecuteParams): AsyncGenerator<StreamChunk>;
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