/**
 * AgentRunner — Runs a single agent via the Anthropic API
 *
 * Core agentic loop:
 * 1. Build system prompt by injecting artifact content into {{placeholders}}
 * 2. Build tool definitions from AgentConfig
 * 3. Call Anthropic API with tools
 * 4. Handle tool_use → executeToolCall → tool_result loop
 * 5. Extract output artifacts from fenced code blocks
 * 6. If code agents produce no artifacts, retry with explicit output request
 * 7. Return AgentRunResult
 */
import type { KnowledgeGraph } from '../knowledge-graph/index.js';
import type { AgentConfig, AgentRunResult, PipelineArtifact, PipelineConfig } from './types.js';
import { ArtifactStore } from './artifact-store.js';
/**
 * Build the system prompt by substituting artifact content into {{placeholders}}.
 */
export declare function buildSystemPrompt(config: AgentConfig, store: ArtifactStore): string;
/**
 * Extract output artifacts from fenced code blocks in the agent's response.
 *
 * Supports multiple patterns:
 *   Pattern 1: ```typescript:component.ts\n...\n``` (tagged)
 *   Pattern 2: ## component.ts\n```typescript\n...\n``` (section header)
 *   Pattern 3: ```typescript\n...\n``` (untagged, matched by order to expected artifacts)
 *   Pattern 4: For single .md artifact, treat entire response as content
 */
export declare function extractArtifacts(responseText: string, agentId: AgentConfig['id'], expectedArtifacts: string[]): PipelineArtifact[];
/**
 * Run a single agent to completion.
 */
export declare function runAgent(config: AgentConfig, store: ArtifactStore, knowledgeGraph: KnowledgeGraph, pipelineConfig: PipelineConfig, userMessage: string): Promise<AgentRunResult>;
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