/**
 * Prompt Builder — composes layered prompts for agent sessions.
 *
 * Three layers:
 *   1. BASE_AGENT_PROMPT — constant instructions about session lifecycle, git workflow, PR handling
 *   2. Config-derived context — project name, repo, default branch, tracker info, reaction rules
 *   3. User rules — inline agentRules and/or agentRulesFile content
 *
 * buildPrompt() always returns the AO base guidance and project context so
 * bare launches still know about AO-specific commands such as PR claiming.
 */
import type { ProjectConfig } from "./types.js";
export declare const BASE_AGENT_PROMPT = "You are an AI coding agent managed by the Agent Orchestrator (ao).\n\n## Session Lifecycle\n- You are running inside a managed session. Focus on the assigned task.\n- When you finish your work, create a PR and push it. The orchestrator will handle CI monitoring and review routing.\n- If you're told to take over or continue work on an existing PR, run `ao session claim-pr <pr-number-or-url>` from inside this session before making changes.\n- If CI fails, the orchestrator will send you the failures \u2014 fix them and push again.\n- If reviewers request changes, the orchestrator will forward their comments \u2014 address each one, push fixes, and reply to the comments.\n\n## Git Workflow\n- Always create a feature branch from the default branch (never commit directly to it).\n- Use conventional commit messages (feat:, fix:, chore:, etc.).\n- Push your branch and create a PR when the implementation is ready.\n- Keep PRs focused \u2014 one issue per PR.\n\n## PR Best Practices\n- Write a clear PR title and description explaining what changed and why.\n- Link the issue in the PR description so it auto-closes when merged.\n- If the repo has CI checks, make sure they pass before requesting review.\n- Respond to every review comment, even if just to acknowledge it.";
export interface PromptBuildConfig {
    /** The project config from the orchestrator config */
    project: ProjectConfig;
    /** The project ID (key in the projects map) */
    projectId: string;
    /** Issue identifier (e.g. "INT-1343", "#42") — triggers Layer 1+2 */
    issueId?: string;
    /** Pre-fetched issue context from tracker.generatePrompt() */
    issueContext?: string;
    /** Explicit user prompt (appended last) */
    userPrompt?: string;
    /** Decomposition context — ancestor task chain (from decomposer) */
    lineage?: string[];
    /** Decomposition context — sibling task descriptions (from decomposer) */
    siblings?: string[];
}
/**
 * Compose a layered prompt for an agent session.
 *
 * Always returns the AO base guidance plus project context, then layers on
 * issue context, user rules, and explicit instructions when available.
 */
export declare function buildPrompt(config: PromptBuildConfig): string;
//# sourceMappingURL=prompt-builder.d.ts.map