* feat(ai): add Grok CLI as a Desktop no-API-key provider
Add grok-cli alongside Codex/Claude Code/Pi, with path/env settings,
isolated MCP-scoped headless runs, model listing, and connection test.
* feat(ai): expose Grok CLI reasoning effort like Codex
Attach low/medium/high effort capabilities to Grok models for the
assistant effort menu, wire resolve_model_effort for grok-cli, and
use the monochrome Grok mark icon.
* i18n: add Grok CLI error messages for remaining locales
Fill grokCli* cliErrors strings in es, it, ja, ko, pt-BR, and zh-TW
to match en/zh-CN and satisfy i18n autofill CI.
* fix(ai): align Grok CLI headless with official Build flags
Address review feedback on PR #5494:
- Use streaming-json + CliAgentJsonlDialect::GrokStreamingJson
- Switch permission to --always-approve and MCPTool(dbx__*) rules
- Prefer --effort over --reasoning-effort; keep --prompt-file
Verified with unit tests and a local headless e2e against grok 1.0.
* style(ai): fix rustfmt for Grok CLI provider files
* test(ai): fix Grok CLI entry in provider ordering spec
* fix(ai): harden grok CLI error wording and config schema
Add 'not signed in' to classify_grok_run_error and test_grok_connection
auth detection — real @xai-official/grok 1.0.0 emits this exact wording
on headless auth failure (verified against the shipped binary).
Remove invalid config.toml fields: permission_mode='always-approve'
(not a valid enum; auto-approve is driven by --always-approve flag) and
startup_timeout_sec/tool_timeout_sec/enabled_tools (not mcp_servers
schema fields per 'grok mcp add').
---------
Co-authored-by: t8y2 <1156263951@qq.com>
* feat(spark): add Apache Spark database driver
Spark Thrift Server speaks the HiveServer2 protocol, so the Spark driver
reuses the hive-jdbc agent runtime. Registers spark (agentKey=spark,
defaultPort=10015) across the manifest, DatabaseType enum, agent catalog,
SQL dialects, connection dialog, and a SparkAgent built on AbstractJdbcAgent.
* feat(spark): add catalog support and official logo
SparkAgent now supports Spark 3.4+ multi-catalog (Paimon, Lance, Iceberg)
via catalog=<name> in url_params, mirroring the StarRocks catalog flow:
- afterConnect switches to the configured catalog via USE <catalog>
- listDatabases returns the catalog name when SHOW DATABASES is empty
(catalogs like Lance expose tables at the catalog root with no databases)
- listTables uses SHOW TABLES IN <catalog>[.<schema>] uniformly, working
for both catalog-root tables (Lance) and catalog.schema tables (Paimon)
- setSchemaSQL qualifies USE with the catalog to prevent resetting to
spark_catalog on schema switches
- buildJdbcUrl omits database from the URL path
Also replaces the placeholder lightning icon with the official Apache Spark
logo (spark-logo.png from spark.apache.org).
* fix(spark): use catalog-qualified DESCRIBE for column retrieval
getColumnsFromDescribe used USE <schema> + DESCRIBE <table>, which
generated USE `catalog`.`catalog` when the sidebar passed the catalog
name as the schema (Lance case where the catalog is the only node).
This failed and fell back to JDBC metadata which also returned nothing,
resulting in an empty DDL (CREATE TABLE ... ()).
Now uses DESCRIBE `catalog`.`table` directly when a catalog is
configured, bypassing USE entirely. Also fixes setSchemaSQL to treat
schema == catalog as catalog-only (no .schema suffix).
* fix(ci): add spark to metadata coverage matrix and BRIDGE_REQUIRED_TYPES
- agents/metadata-constraint-coverage.tsv: register spark as
intentional-fallback (SHOW TABLES/SHOW DATABASES, like Hive/TDengine)
- packages/node-core/src/diagnostics.ts: add spark to
BRIDGE_REQUIRED_TYPES (mcpMode=bridge, matches manifest)
* fix(ci): add spark to DBX_CONNECTION_TYPE_DESCRIPTION in mcp-server
The driver-manifest test asserts every manifest dbType appears in the
MCP server's connection type description string.
U1