M0: compilable skeleton — Kigi 0.1.0 fork surgery
Hard fork of xai-org/grok-build (Apache-2.0) re-targeted as Kigi, an
unofficial Kimi Code CLI community build.
Rename & identity
- 72 xai-*/xai-grok-* crates -> kigi-* (explicit: xai-grok-pager-bin ->
kigi-bin [binary `kigi`], xai-grok-pager -> kigi-tui; rest mechanical);
ptyctl, ptyctl-cli, third_party/ unchanged; proto package
xai.grok.tools.v1 -> kigi.tools.v1
- Config home ~/.kigi (KIGI_SHARE_DIR override), env prefix GROK_* ->
KIGI_*, `kigi --version` carries the unofficial-community-build notice
- clap identity, help text, startup banner, prompt templates rebranded
(templates re-encrypted)
Deletions (PRD removal list #5/#6/#7/#9/#10)
- voice input (xai-grok-voice) and all TUI wiring
- telemetry: Mixpanel client, external OTel stream, Sentry, OTLP layers,
trace/GCS/S3 upload queues (kigi-file-utils halved), workspace upload
module & dc_log, heap-profile uploader, auth-diagnostics uploader,
session-analytics halves of feedback; local zero-egress observability
preserved in new kigi-log crate (unified log, --debug firehose,
subsystem file logs, opt-in instrumentation)
- announcements (crate, remote-settings fields, TUI surfaces)
- plugin marketplace (crate, sources/browse/CTA/extensions-modal tab);
direct plugin install/uninstall/update via kigi-agent git_install kept
- relay/gateway/assets endpoints and features (agent relay, headless
relay transport, gateway bridge, LeaderEnvUrls); leader IPC socket now
~/.kigi/leader.sock + KIGI_LEADER_SOCKET, no ws-url derivation
- functional types rehomed instead of deleted: PermissionMode ->
kigi-config-types, McpInitStrategy -> kigi-mcp, PrCreationSource ->
session signals, TerminalDiagnostics -> kigi-pager-render, agent_id ->
shell util
Endpoints
- kigi-env rewritten: single production KigiEndpoints {coding_api_base_url
https://api.kimi.com/coding/v1 (KIGI_CODE_BASE_URL), oauth_host
https://auth.kimi.com (KIGI_OAUTH_HOST), update_base_url (GitHub
Releases API), upgrade_page_url}; GrokBuildEnvironment enum deleted
Toolchain & workspace hygiene
- Rust 1.97.0 pinned; edition 2024; full cargo update; git2 hoisted to
workspace at 0.21 (Option->Result API migration), quick-xml 0.41
- Root Cargo.toml hand-maintained (PRD §8.1): version 0.1.0 inherited by
all members, members sorted, unused deps pruned
- cargo-deny advisories gate (deny.toml with documented transitive
exceptions); CI workflow (check/clippy/fmt/deny/test, macOS+Linux)
- cross-crate test seams re-gated behind `test-support` cargo feature;
insta snapshot baselines renamed to the kigi_tui prefix
- clippy --workspace --all-targets: zero warnings; fmt clean
Fixes surfaced by the port
- updater probe/installer divergence (bin/kigi vs bin/grok symlink set)
- idle model-metadata refresh dead under KIGI_CODE_BASE_URL override
(new is_effective_coding_endpoint_url, loopback+override aware)
- macOS symlinked-TMPDIR fixture canonicalization (foreign_sessions,
fast-worktree); RSS measurement tests serialized via serial_test
Docs & legal (Apache §4)
- NOTICE added (upstream attribution + change statement); THIRD-PARTY
notices sustained; kigi-tools ported-code notices extended; README,
CONTRIBUTING, SECURITY, AGENTS.md rewritten
Out of scope for M0 (tracked): Kimi auth/inference (M1), search/fetch,
command parity, config import (M2), Computer Hub excision & final
brand-token sweep (M2), distribution & self-update rewrite (M3).
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@@ -0,0 +1,98 @@
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//! SQL schema constants for the memory index.
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//!
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//! The index uses three tables:
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//! - `meta` — key-value metadata (embedding dimensions, schema version)
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//! - `chunks` — indexed text chunks with blake3 content hashes
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//! - `chunks_fts` — contentless FTS5 virtual table for BM25 keyword search
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//!
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//! When sqlite-vec is available, a fourth table is created:
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//! - `chunks_vec` — vec0 virtual table for KNN vector search
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/// Schema version. Bump when making breaking schema changes that require
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/// dropping and recreating tables.
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pub const SCHEMA_VERSION: u32 = 1;
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/// Generate the SQL schema for the memory index.
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///
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/// `dimensions` controls the embedding vector size for `chunks_vec`.
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/// If `vec_available` is false, the `chunks_vec` table is not created.
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///
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/// Connection pragmas (busy_timeout, journal_mode) are applied on the open
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/// path (`kigi_sqlite_journal::JournalMode::open`) — the journal mode depends
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/// on the database's filesystem.
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pub fn schema_sql(dimensions: usize, vec_available: bool) -> String {
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let mut sql = format!(
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r#"
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CREATE TABLE IF NOT EXISTS meta (
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key TEXT PRIMARY KEY,
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value TEXT NOT NULL
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);
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CREATE TABLE IF NOT EXISTS chunks (
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rowid INTEGER PRIMARY KEY AUTOINCREMENT,
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id TEXT UNIQUE NOT NULL,
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path TEXT NOT NULL,
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start_line INTEGER NOT NULL,
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end_line INTEGER NOT NULL,
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text TEXT NOT NULL,
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hash TEXT NOT NULL,
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source TEXT NOT NULL,
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created_at INTEGER NOT NULL,
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updated_at INTEGER NOT NULL,
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access_count INTEGER DEFAULT 0,
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last_accessed INTEGER
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);
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CREATE INDEX IF NOT EXISTS idx_chunks_path ON chunks(path);
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CREATE INDEX IF NOT EXISTS idx_chunks_hash ON chunks(hash);
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CREATE VIRTUAL TABLE IF NOT EXISTS chunks_fts USING fts5(text, content='');
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INSERT OR IGNORE INTO meta(key, value) VALUES ('reindex_claim', '');
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"#
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);
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if vec_available {
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sql.push_str(&format!(
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"\nCREATE VIRTUAL TABLE IF NOT EXISTS chunks_vec USING vec0(\n \
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chunk_id TEXT PRIMARY KEY,\n \
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embedding FLOAT[{dimensions}]\n);\n"
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));
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}
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sql
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}
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/// SQL to insert or update an embedding dimension record in the meta table.
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pub const UPSERT_META_SQL: &str = "INSERT OR REPLACE INTO meta(key, value) VALUES (?1, ?2)";
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/// SQL to query a meta value by key.
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pub const GET_META_SQL: &str = "SELECT value FROM meta WHERE key = ?1";
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_schema_sql_without_vec() {
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let sql = schema_sql(1536, false);
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assert!(sql.contains("CREATE TABLE IF NOT EXISTS chunks"));
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assert!(sql.contains("CREATE VIRTUAL TABLE IF NOT EXISTS chunks_fts"));
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assert!(!sql.contains("chunks_vec"));
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// Connection pragmas live on the open path, not in the schema batch.
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assert!(!sql.contains("PRAGMA"));
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}
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#[test]
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fn test_schema_sql_with_vec() {
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let sql = schema_sql(384, true);
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assert!(sql.contains("chunks_vec"));
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assert!(sql.contains("FLOAT[384]"));
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}
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#[test]
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fn test_schema_sql_different_dimensions() {
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let sql = schema_sql(768, true);
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assert!(sql.contains("FLOAT[768]"));
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}
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}
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