/**
 * Agent loop that works with AgentMessage throughout.
 * Transforms to Message[] only at the LLM call boundary.
 * [WHO]: agentLoop, agentLoopContinue
 * [FROM]: @catui/ai
 * [TO]: Consumed by core/lib/agent-core/src/agent.ts, core/lib/agent-core/src/index.ts, core/lib/agent-core/src/structured-adaptive-agent-loop.ts
 * [HERE]: core/lib/agent-core/src/agent-loop.ts - owned by core/lib/agent-core/AGENT.md
 */
import { EventStream } from "@catui/ai/events";
import type { AgentContext, AgentEvent, AgentLoopConfig, AgentMessage, StreamFn } from "./types.js";
/**
 * Start an agent loop with a new prompt message.
 * The prompt is added to the context and events are emitted for it.
 */
export declare function agentLoop(prompts: AgentMessage[], context: AgentContext, config: AgentLoopConfig, signal?: AbortSignal, streamFn?: StreamFn): EventStream<AgentEvent, AgentMessage[]>;
/**
 * Continue an agent loop from the current context without adding a new message.
 * Used for retries - context already has user message or tool results.
 *
 * **Important:** The last message in context must convert to a `user` or `toolResult` message
 * via `convertToLlm`. If it doesn't, the LLM provider will reject the request.
 * This cannot be validated here since `convertToLlm` is only called once per turn.
 */
export declare function agentLoopContinue(context: AgentContext, config: AgentLoopConfig, signal?: AbortSignal, streamFn?: StreamFn): EventStream<AgentEvent, AgentMessage[]>;