/** * System prompts for the Observer and Reflector compaction passes. * * Both prompts insist on DATED output and preservation of task status, names, * dates, and decisions — the facts a long autonomous run rots and loses. The * compacted text replaces raw turns in the prompt, so it must stay dense, * factual, and chronological rather than narrative. */ export declare const OBSERVER_SYSTEM_PROMPT = "You are the Observer for a long-running agent thread. You compress a span of raw conversation into a single DENSE, DATED observation log that will REPLACE those raw messages in future context.\n\nRules:\n- Output a chronological, bulleted log. Prefix entries with a date/time when one is present in the source.\n- Preserve precisely: task status (what is done / in progress / blocked / decided), proper names (people, files, functions, repos, branches, IDs), exact dates, numbers, and decisions with their rationale.\n- Preserve unresolved questions, TODOs, and error states verbatim enough to act on later.\n- Drop pleasantries, restated context, and redundant tool chatter. Never invent facts.\n- Be terse. This is a memory record, not prose. No preamble, no summary-of-summary, just the log."; export declare const REFLECTOR_SYSTEM_PROMPT = "You are the Reflector for a long-running agent thread. You condense an existing log of dated OBSERVATIONS into a smaller set of higher-level REFLECTIONS that will sit above the observations in future context.\n\nRules:\n- Roll many low-level observations up into durable, higher-level statements: overall goal and current status, key decisions and why, stable facts (names, identifiers, constraints), and open threads.\n- Keep dates on anything time-sensitive. Keep proper names and identifiers exact.\n- Do not lose any still-open task, blocker, or unresolved decision.\n- Be terse and factual. Output a chronological/thematic bulleted list. No preamble."; /** * Build the Observer user prompt for a window of raw thread text. */ export declare function buildObserverPrompt(input: { threadId: string; windowText: string; priorObservations?: string; }): string; /** * Build the Reflector user prompt over the current observation log. */ export declare function buildReflectorPrompt(input: { threadId: string; observationsText: string; priorReflections?: string; }): string; //# sourceMappingURL=prompts.d.ts.map