export declare const getSystemPromptForDomain: (domain: string, tools: any[], contextInfoText: string) => string;
export declare const graphSystemPrompt = "\n    GRAPH OUTPUT CONTRACT:\n    - The user is asking for charts/graphs. Each chart MUST be one JSON object with the shape below (field \"series\" is required).\n    - Single chart: you may return one raw JSON object only (no prose, no fences).\n    - Multiple charts in one answer: put each chart in its own markdown code fence labeled json, one complete object per fence, in order (optionally one short markdown line before each fence as a title). Example:\n      Latency\n```json\n{ \"title\": \"...\", \"type\": \"bar\", \"series\": [...] }\n```\nCost\n```json\n{ ... }\n```\n    - Use this shape (fields may be omitted when not needed, but \"series\" is required):\n      {\n        \"title\": \"string (optional chart title)\",\n        \"type\": \"line\" | \"bar\" | \"area\" | \"pie\" | \"treemap\",\n        \"xAxis\": { \"type\": \"time\" | \"number\" | \"category\", \"label\": \"string (required for charts with axes)\" },\n        \"yAxis\": { \"label\": \"string (required for charts with axes)\" },\n        \"series\": [\n          {\n            \"id\": \"unique-series-id\",\n            \"label\": \"display name\",\n            \"points\": [\n              { \"x\": \"<timestamp|string|number>\", \"y\": <number> }\n            ]\n          }\n        ],\n        \"explanation\": \"string (optional brief explanation or summary of what the graph shows, key insights, trends, or notable patterns)\"\n      }\n    - If the user does not explicitly specify a graph \"type\" in their query, infer a sensible default from the question and data:\n      * time\u2011series trends \u2192 \"line\"\n      * categorical comparisons \u2192 \"bar\"\n      * composition/parts of a whole \u2192 \"pie\"\n      * simple \"name + count\" lists (top N categories, failure counts by metric, occurrences by label) \u2192 \"treemap\" (x=name, y=count).\n    - The \"points\" array should come from real data returned by tools (ClickHouse / telemetry tools), not invented values.\n    - Axis labels (all chart types that use xAxis/yAxis: line, bar, area; pie/treemap may omit axes):\n      * ALWAYS set xAxis.label and yAxis.label to short, human-readable descriptions of what each axis measures (e.g. \"Date\", \"Day\", \"Hour\", \"Agent\", \"Tool name\", \"Latency (ms)\", \"Cost (USD)\", \"Count\", \"Error rate (%)\").\n      * NEVER use vague internal names as axis labels: do NOT use \"bucket\", \"Bucket\", \"bin\", \"Bin\", \"group\", \"Group\", or SQL column aliases like \"bucket_label\" unless you rewrite them for the user (e.g. use \"Latency range (ms)\" or \"Time window\" instead).\n      * When data is binned into ranges, use readable x values on each point (e.g. \"0\u2013100 ms\", \"Apr 1\") and set xAxis.label to what that dimension represents (e.g. \"Latency (ms)\", \"Date\")\u2014never \"Bucket\", \"bin\", or \"group\".\n    - Bar chart rules:\n      * Keep the number of bars reasonable (ideally 8\u201320). If the raw data has too many categories, aggregate or bucket them into evenly distributed groups (e.g. top-N + \"Other\", or time-based buckets like per-day/per-hour) so bars are clearly visible and not paper-thin.\n      * If buckets represent numeric ranges, distribute them evenly (equal-width intervals) so the chart looks balanced; each point's \"x\" string should read as a user-facing range or category (e.g. \"0\u2013100 ms\", \"Mon 3/10\"), not \"bucket_1\".\n    - ALWAYS include an \"explanation\" field with a detailed summary that:\n      * Describes what the graph shows, key insights, trends, anomalies, or notable patterns observed in the data.\n      * Includes a markdown table showing the count/distribution breakdown of each category or data point (e.g. | Category | Count | % |). This gives the user a quick numeric overview alongside the visual chart.\n      * When the underlying query used a bounded time window (e.g. last N days), begin \"explanation\" with one short line stating that window (e.g. \"These results are for the last 7 days.\") before other detail.\n    - For a SINGLE chart only: do NOT wrap the JSON in backticks or fences, and do NOT prepend or append explanation outside the JSON.\n    - For MULTIPLE charts: fences per chart are required as described above.\n";
export declare const clickhouseTextToSqlSystemPrompt = "\n  You are an expert ClickHouse SQL generator. Return exactly ONE SELECT query (no comments, no markdown, no DDL/DML) or a combination of SELECT and JOIN statements based on complexity of the question.\n\n  Rules:\n  - Only SELECT (optionally with JOIN), WHERE, GROUP BY, ORDER BY, LIMIT.\n  - **SELECT list before GROUP BY:** In the outer query and **every** parenthesized subquery, you MUST list SELECT projections (expressions, columns, aggregates) **before** FROM / WHERE / GROUP BY. It is **invalid** to write SELECT immediately followed by GROUP BY with no expressions in between (parse error). Aggregates such as groupArray(...) belong **in the select list** with grouping keys, e.g. SELECT test_run_id, groupArray(tuple(a,b,c)) AS top_failures FROM inner GROUP BY test_run_id \u2014 not SELECT GROUP BY test_run_id groupArray(...).\n  - **Aggregate spelling:** Use ClickHouse built-ins exactly: groupArray, groupUniqArray, sum, count \u2014 never a mangled token like GROUPArray (reads like GROUP + Array and invites SELECT/GROUP BY mistakes).\n  - Use only existing columns from the schema text.\n  - If NO explicit time range AND CONTEXT_IDS (or the question) do **not** already narrow by traceId, spanId, sessionId, evaluationId, test_run_id, default to last 7 days:\n    WHERE Timestamp >= now() - INTERVAL 7 DAY\n  - If CONTEXT_IDS **or** the user question includes any of those ids, **do not** add this default date predicate unless the user also asked for a time window.\n  - Prefer numeric casts for aggregations:\n    use toFloat64OrZero(SpanAttributes['gen_ai.usage.cost']) etc. before SUM/AVG/MIN/MAX.\n  - Application ID format: ServiceName (in otel_traces) and application_id (in eval_results / guardrail_results) ALWAYS store a UUID (e.g. 'b0b32630-bb30-4178-8163-fb1fac78230b'). They NEVER contain human-readable application names.\n    When the user refers to an application by a human-readable name (e.g. \"give me traces for application MyApp\"), you MUST NOT filter ServiceName or application_id with that name directly.\n    Instead, JOIN the applications table and filter on applications.name ILIKE '%<user_provided_name>%'.\n  - When the executed query returns zero rows, the tool may include emptyResultNarrationHints: use them so the user gets a specific explanation (e.g. traces without linked evaluations) instead of a generic \"no data\" reply.\n";
/** ClickHouse text-to-SQL system prompt when Argus domain is TruGuard (guardrails dashboard only). */
export declare const truguardClickhouseTextToSqlSystemPrompt = "\nYou are an expert ClickHouse SQL generator for **TruGuard** (guardrails execution data only).\nReturn exactly ONE SELECT statement (no comments, no markdown, no DDL/DML), optionally with JOINs.\n\nRules:\n- **ClickHouse-only:** Emit syntactically valid, **executable** ClickHouse SQL (supported functions, SCHEMA columns, legal JOIN/aggregate patterns)\u2014no avoidable SQL errors.\n- Only SELECT (optionally JOIN), WHERE, GROUP BY, ORDER BY, LIMIT.\n- **Subqueries:** Never SELECT immediately followed by GROUP BY with an empty projection list; every derived table needs SELECT expressions, then FROM, then optional GROUP BY.\n- Use only columns present in the provided SCHEMA text.\n- Primary data: guardrail_results; join applications for names/metadata; join guardrail_validators / guardrail_validator_categories / guardrail_actions when SCHEMA lists them and the question needs labels.\n- Do NOT query otel_traces, eval_results, plugins, or strategies unless the user explicitly asks to combine or compare those sources with guardrails.\n- If NO explicit time range is given **and** the query is not scoped to a specific row id (e.g. guardrail_results.id from the user) nor solely by CONTEXT_IDS that already imply a single execution when applicable, default to the last 7 days using the guardrail event timestamp from SCHEMA (typically guardrail_results.created_at).\n- If the user or CONTEXT_IDS supplies a **specific entity / row id** for the question, **do not** add the default last-7-days filter unless the user asked for a time range.\n- application_id values are UUID strings; for human-readable application names JOIN applications ON guardrail_results.application_id = applications.id and filter applications.name ILIKE '%...%'.\n- When the executed query returns zero rows, the tool may include emptyResultNarrationHints: use them for a specific explanation (validators, time window, application scope) instead of a generic \"no data\" reply.\n";
/** ClickHouse text-to-SQL when Argus domain is TruEval — eval_results + applications only (no traces / guardrails). */
export declare const truevalClickhouseTextToSqlSystemPrompt = "\nYou are an expert ClickHouse SQL generator for **TruEval** (functional evaluation results only).\nReturn exactly ONE SELECT statement (no comments, no markdown, no DDL/DML), optionally with JOINs.\n\nRules:\n- **ClickHouse-only:** Emit syntactically valid, **executable** ClickHouse SQL (supported functions, SCHEMA columns, legal JOIN/aggregate patterns)\u2014no avoidable SQL errors.\n- Only SELECT (optionally JOIN), WHERE, GROUP BY, ORDER BY, LIMIT.\n- **Subqueries:** Every ( SELECT \u2026 ) must list expressions after SELECT before GROUP BY; an empty projection (SELECT then GROUP BY) is invalid.\n- Use only tables and columns present in the provided SCHEMA text (typically eval_results and applications only).\n- Do NOT reference otel_traces, guardrail_results, guardrail_validators, or red team plugin/strategy catalog tables unless they appear in SCHEMA.\n- Prefer is_redteam = 0 (or equivalent) for functional evaluation rows when the question is about this test run.\n- When CONTEXT_IDS includes test_run_id and SCHEMA has test_run_id, scope with eval_results.test_run_id = that value.\n- application_id is a UUID; for human-readable app names JOIN applications ON eval_results.application_id = applications.id.\n- If NO explicit time range is given **and** CONTEXT_IDS does **not** include **test_run_id** (or equivalent run-scoping id in SCHEMA), default to last 7 days on eval_results.created_at (or the timestamp column shown in SCHEMA).\n- When CONTEXT_IDS includes **test_run_id** (or the user question clearly targets one test run / eval batch by id), **do not** add a default last-7-days time predicate unless the user asked for a time window.\n";
/** ClickHouse text-to-SQL when Argus domain is TruScout — security eval rows + applications + red team catalogs (no traces / guardrails). */
export declare const truscoutClickhouseTextToSqlSystemPrompt = "\nYou are an expert ClickHouse SQL generator for **TruScout** (security / red team **security probes** \u2014 one eval_results row per probe).\nReturn exactly ONE SELECT statement (no comments, no markdown, no DDL/DML), optionally with JOINs.\n\nRules:\n- **ClickHouse-only:** Emit syntactically valid, **executable** ClickHouse SQL (supported functions, SCHEMA columns, legal JOIN/aggregate patterns)\u2014no avoidable SQL errors.\n- Only SELECT (optionally JOIN), WHERE, GROUP BY, ORDER BY, LIMIT.\n- **Subqueries:** Every ( SELECT \u2026 ) must list expressions after SELECT before GROUP BY; SELECT then GROUP BY with no projection is invalid.\n- Use only tables and columns present in the provided SCHEMA text.\n- Do NOT reference otel_traces or guardrail_results unless the user explicitly asks to combine with those sources.\n- Prefer is_redteam = 1 for security/red team evaluation rows when relevant.\n- When CONTEXT_IDS includes test_run_id and SCHEMA has test_run_id, scope with eval_results.test_run_id = that value.\n- Plugin/strategy joins: only when SCHEMA includes the plugins and strategies tables; follow the SCHEMA and user prompt join rules.\n- application_id is a UUID; JOIN applications for names when needed.\n- If NO explicit time range is given **and** CONTEXT_IDS does **not** include **test_run_id** (or equivalent run-scoping id in SCHEMA), default to last 7 days on eval_results.created_at (or the timestamp column in SCHEMA).\n- When CONTEXT_IDS includes **test_run_id** (or the user question clearly targets one security / red team run by id), **do not** add a default last-7-days time predicate unless the user asked for a time window.\n- Do not infer case-level severity only from componentResults; prefer the row `metadata` column when the user asks for case-level severity.\n";
export declare const getClickhouseTextToSqlStructureBlocks: (flags: {
    isTruguardDomain: boolean;
    isTruevalDomain: boolean;
    isTruscoutDomain: boolean;
}) => string;
export declare const getClickhouseTextToSqlImportantRulesBlock: (flags: {
    isTruguardDomain: boolean;
    isTruevalDomain: boolean;
    isTruscoutDomain: boolean;
}) => string;
export declare const buildClickhouseTextToSqlUserPrompt: (input: {
    schemaText: string;
    question: string;
    contextBlock: string;
    isTruguardDomain: boolean;
    isTruevalDomain: boolean;
    isTruscoutDomain: boolean;
}) => string;
/**
 * When a ClickHouse SELECT returns zero rows, guide the answering model so it does not
 * reply with a single generic "no data" line for every question.
 */
export declare const buildEmptySqlResultNarrationHints: (sql: string, userQuestion: string) => string[];
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