fix(snowflake): unblock multi-schema ingest and relationship discovery (#204)

* feat(setup): drop redundant Snowflake schema prompt; fall back to free-text on listSchemas failure

Snowflake setup previously asked for a single schema as free text, then
ran a multiselect against the discovered schemas — two schema questions
back-to-back, with the first being only a session bootstrap. The SDK's
`schema` is optional, so the bootstrap step is unnecessary.

- Remove the free-text Snowflake schema prompt; only pass `schema` to
  snowflake-sdk when one is configured.
- When `listSchemas()` fails (e.g. role lacks SHOW SCHEMAS), prompt the
  user for a comma-separated list, persist it as `schema_names`, and use
  it as both the table-list filter and the multiselect default. Applies
  to every driver with a scope-discovery spec, not just Snowflake.
- Update docs to lead with `schema_names`; keep `schema_name` as a
  documented single-schema shorthand.

* fix(snowflake): keep introspecting when primary-key discovery is denied

The PK query joins INFORMATION_SCHEMA.TABLE_CONSTRAINTS and
INFORMATION_SCHEMA.KEY_COLUMN_USAGE, which require grants the
connection role may not have. Previously a 'SQL compilation error:
Object ANALYTICS.INFORMATION_SCHEMA.KEY_COLUMN_USAGE does not exist
or not authorized' aborted the entire introspect — schemas, columns,
and row counts were all discarded over a missing nice-to-have.

Wrap the constraint query in try/catch, log a one-line warning per
schema, and return an empty PK map. Columns end up with
primaryKey=false; relationship inference still has FK and profiling
to fall back on.

* fix(scan): unblock relationship discovery on Snowflake

Two adjacent bugs prevented the scan's relationship pipeline from producing
any joins on a Snowflake warehouse:

- relationship-profiling.ts fell through to a default `GROUP_CONCAT` branch
  for unknown drivers. Snowflake has no GROUP_CONCAT, so every per-table
  profile query failed with "Unknown function GROUP_CONCAT". Add an explicit
  Snowflake branch that uses LISTAGG with a literal '\x1f' delimiter
  (Snowflake requires the delimiter to be a constant, so CHR(31) is rejected).
- description-generation.ts destructured `connector.sampleTable` and
  `connector.sampleColumn` into bare locals, losing the `this` binding when
  the class-method connectors (Snowflake, Postgres, MySQL) were invoked.
  Every sample call threw "Cannot read properties of undefined (reading
  'assertConnection')" and degraded LLM descriptions to metadata-only
  prompts. Call the methods through the connector instead.

Without these, even after the primary-key probe is allowed to fail softly,
the scan ends up with 0 validated relationships and an empty `joins:` block
in every shard YAML.

* test(scan): cover table-ref helpers

* feat(scan): plumb tableScope through live-database introspection port

* feat(scan): apply tableScope during metadata fetch

* feat(scan): enforce table scope at fetch boundary

* feat(scan): pool Snowflake sessions and batch enrichment for faster ingest (#206)

* feat(cli): add RSA key-pair auth option to Snowflake setup wizard

Extends the interactive Snowflake setup flow with an authentication-method
prompt (password vs RSA/JWT key-pair). The RSA branch collects a private-key
path (env/file/absolute) and an optional passphrase; the resulting connection
config records `authMethod: 'rsa'` with `privateKey` and `passphrase` instead
of `password`.

* feat(scan): pool Snowflake sessions

* fix(scan): reuse structural snapshots and cleanup connectors

* feat(scan): parallelize relationship profiling

* feat(scan): batch table description generation

* docs: document Snowflake ingest concurrency knobs

* fix(scan): close Snowflake ingest perf verification gaps

* fix(scan): keep batched description failure bounded

* feat(scan): dispatch query-history probes by connection driver

Extract historic-sql dialect resolution into a shared helper so the
status-project readiness check and the local ingest factory agree on
which connections enable query history and which probe to run. The
status command now picks the postgres/snowflake/bigquery probe based on
the connection's driver instead of always reporting against postgres,
which previously caused snowflake connections with queryHistory.enabled
to surface a misleading "driver is snowflake" failure.

Also drops a noisy console.warn from Snowflake primary-key discovery —
INFORMATION_SCHEMA.KEY_COLUMN_USAGE is commonly ungranted for read-only
roles and the FK + profiling paths handle the empty PK map already.

* fix(llm): allow StructuredOutput tool and raise maxTurns for generateObject

The Claude Code agent SDK announces an internal pseudo-tool named
StructuredOutput in the system/init message whenever outputFormat is set
to { type: 'json_schema' }. The runtime's isolation check built its
allowedToolIds set only from MCP tool ids and treated StructuredOutput
as an unexpected host-injected tool, so every generateObject call threw
"Claude Code runtime isolation failed: tools=StructuredOutput ..." and
the table-descriptions and relationship-LLM-proposal enrichment stages
recorded null output across the board.

Whitelist StructuredOutput specifically in generateObject's
allowedToolIds — the check also enforces missing_tools symmetry, so
generateText and runAgentLoop, which do not see StructuredOutput, must
not require it.

generateObject also ran with maxTurns: 1, which the model intermittently
breached when it emitted thinking text before the structured response.
Raised to 5 to give the schema-bound call enough headroom without
allowing unbounded loops. The existing tests now exercise the path with
an init message that announces StructuredOutput so the regression cannot
slip back in.

* chore(scripts): add ktx-reset.sh project-cleanup helper

Convenience script for repeatable ingest testing: takes a project
directory and prunes everything except ktx.yaml and .ktx/secrets/, so
the next ktx setup or ktx ingest run starts from a known-clean state.

packages/cli/src/connectors/sqlserver/connector.test.ts

@@ -1,6 +1,7 @@
 import { describe, expect, it, vi } from 'vitest';
 import { createSqlServerLiveDatabaseIntrospection } from '../../connectors/sqlserver/live-database-introspection.js';
 import { isKtxSqlServerConnectionConfig, KtxSqlServerScanConnector, sqlServerConnectionPoolConfigFromConfig, type KtxSqlServerPoolFactory, type KtxSqlServerQueryResult } from '../../connectors/sqlserver/connector.js';
+import { tableRefSet } from '../../context/scan/table-ref.js';
 
 function recordset<T extends Record<string, unknown>>(
   rows: T[],
@@ -290,6 +291,55 @@ describe('KtxSqlServerScanConnector', () => {
     await connector.cleanup();
   });
 
+  it('limits introspection to tables in tableScope', async () => {
+    const queries: string[] = [];
+    const inputs: Array<{ name: string; value: unknown }> = [];
+    const request = {
+      input: vi.fn((name: string, value: unknown) => {
+        inputs.push({ name, value });
+        return request;
+      }),
+      query: vi.fn(async (sql: string): Promise<KtxSqlServerQueryResult> => {
+        queries.push(sql);
+        if (sql.includes('INFORMATION_SCHEMA.TABLES')) {
+          return result([{ table_name: 'orders', table_type: 'BASE TABLE' }], ['table_name', 'table_type']);
+        }
+        if (sql.includes('INFORMATION_SCHEMA.COLUMNS')) {
+          return result(
+            [{ table_name: 'orders', column_name: 'id', data_type: 'int', is_nullable: 'NO' }],
+            ['table_name', 'column_name', 'data_type', 'is_nullable'],
+          );
+        }
+        return result([], []);
+      }),
+    };
+    const poolFactory: KtxSqlServerPoolFactory = {
+      createPool: vi.fn(async () => ({
+        request: () => request,
+        close: vi.fn(async () => undefined),
+      })),
+    };
+    const connector = new KtxSqlServerScanConnector({
+      connectionId: 'warehouse',
+      connection: {
+        driver: 'sqlserver',
+        host: 'db.example.test',
+        database: 'analytics',
+        username: 'reader',
+        schema: 'dbo',
+      },
+      poolFactory,
+    });
+    const scope = tableRefSet([{ catalog: 'analytics', db: 'dbo', name: 'orders' }]);
+    const snapshot = await connector.introspect(
+      { connectionId: 'warehouse', driver: 'sqlserver', tableScope: scope },
+      { runId: 'scope-test' },
+    );
+    expect(snapshot.tables.map((table) => table.name)).toEqual(['orders']);
+    expect(queries.find((query) => query.includes('INFORMATION_SCHEMA.TABLES'))).toMatch(/TABLE_NAME IN \(@table_0\)/);
+    expect(inputs).toEqual(expect.arrayContaining([{ name: 'table_0', value: 'orders' }]));
+  });
+
   it('adapts native SQL Server snapshots to live-database introspection for local ingest', async () => {
     const introspection = createSqlServerLiveDatabaseIntrospection({
       connections: {