rename klo to ktx

python/klo-daemon/src/klo_daemon/__init__.py

@@ -1,6 +0,0 @@
-"""Portable compute package for KLO."""
-
-PACKAGE_NAME = "klo-daemon"
-VERSION = "0.1.0"
-
-__all__ = ["PACKAGE_NAME", "VERSION"]

python/klo-daemon/tests/test_package.py

@@ -1,6 +0,0 @@
-from klo_daemon import PACKAGE_NAME, VERSION
-
-
-def test_package_metadata() -> None:
-    assert PACKAGE_NAME == "klo-daemon"
-    assert VERSION == "0.1.0"

python/ktx-daemon/README.md

@@ -1,17 +1,17 @@
-# klo-daemon
+# ktx-daemon
 
-`klo-daemon` is the portable Python compute package for KLO.
+`ktx-daemon` is the portable Python compute package for KTX.
 
 It supports portable compute in two modes:
 
-- One-shot commands, used by default by `@klo/context`.
+- One-shot commands, used by default by `@ktx/context`.
 - An explicit HTTP server for long-running local MCP sessions.
 
 ## One-shot semantic query
 
 ```bash
 printf '%s\n' '{"sources":[],"query":{"measures":[],"dimensions":[]},"dialect":"postgres"}' \
-  | klo-daemon semantic-query
+  | ktx-daemon semantic-query
 ```
 
 ## One-shot source generation
@@ -20,7 +20,7 @@ Generate semantic-layer sources from schema scan data:
 
 ```bash
 printf '%s\n' '{"tables":[{"name":"orders","db":"public","columns":[{"name":"id","type":"integer","primary_key":true}]}],"links":[],"dialect":"postgres"}' \
-  | klo-daemon semantic-generate-sources
+  | ktx-daemon semantic-generate-sources
 ```
 
 ## One-shot database introspection
@@ -29,7 +29,7 @@ Introspect a Postgres database schema:
 
 ```bash
 printf '%s\n' '{"connection_id":"warehouse","driver":"postgres","url":"postgresql://readonly@example.test/warehouse","schemas":["public"]}' \
-  | klo-daemon database-introspect
+  | ktx-daemon database-introspect
 ```
 
 ## One-shot LookML parsing
@@ -38,7 +38,7 @@ Parse LookML projects into resolved, KSL-ready structures:
 
 ```bash
 printf '%s\n' '{"files":[{"path":"views/orders.view.lkml","content":"view: orders { sql_table_name: public.orders ;; measure: order_count { type: count } }"}],"dialect":"postgres"}' \
-  | klo-daemon lookml-parse
+  | ktx-daemon lookml-parse
 ```
 
 ## One-shot embeddings
@@ -47,14 +47,14 @@ Compute text embeddings locally:
 
 ```bash
 printf '%s\n' '{"text":"hello"}' \
-  | klo-daemon embedding-compute
+  | ktx-daemon embedding-compute
 ```
 
 Compute text embeddings locally in bulk:
 
 ```bash
 printf '%s\n' '{"texts":["hello","world"]}' \
-  | klo-daemon embedding-compute-bulk
+  | ktx-daemon embedding-compute-bulk
 ```
 
 ## One-shot code execution
@@ -63,7 +63,7 @@ Execute Python code with the current in-process boundary:
 
 ```bash
 printf '%s\n' '{"code":"result = 1 + 2"}' \
-  | klo-daemon code-execute
+  | ktx-daemon code-execute
 ```
 
 ## HTTP compute server
@@ -71,13 +71,13 @@ printf '%s\n' '{"code":"result = 1 + 2"}' \
 Start the HTTP compute server with code execution disabled:
 
 ```bash
-klo-daemon serve-http --host 127.0.0.1 --port 8765
+ktx-daemon serve-http --host 127.0.0.1 --port 8765
 ```
 
 Enable HTTP code execution explicitly:
 
 ```bash
-klo-daemon serve-http --host 127.0.0.1 --port 8765 --enable-code-execution
+ktx-daemon serve-http --host 127.0.0.1 --port 8765 --enable-code-execution
 ```
 
 Available HTTP endpoints:
@@ -99,6 +99,6 @@ Code execution is off by default. When enabled, it runs Python `exec` in the
 daemon process with the same in-process boundary as the one-shot
 `code-execute` command and does not provide OS-level sandboxing.
 
-HTTP code execution uses the standalone KLO boundary. It does not forward
+HTTP code execution uses the standalone KTX boundary. It does not forward
 caller authorization headers to a host app and does not connect scratchpad or
 visualization helpers to host application APIs.

python/ktx-daemon/pyproject.toml

@@ -1,13 +1,13 @@
 [project]
-name = "klo-daemon"
+name = "ktx-daemon"
 version = "0.1.0"
-description = "Portable compute package for KLO semantic-layer operations"
+description = "Portable compute package for KTX semantic-layer operations"
 readme = "README.md"
 requires-python = ">=3.13"
 license = "Apache-2.0"
 dependencies = [
     "fastapi>=0.115.0",
-    "klo-sl",
+    "ktx-sl",
     "lkml>=1.3.7",
     "numpy>=2.2.6",
     "orjson>=3.11.4",
@@ -22,7 +22,7 @@ dependencies = [
 ]
 
 [project.scripts]
-klo-daemon = "klo_daemon.__main__:main"
+ktx-daemon = "ktx_daemon.__main__:main"
 
 [project.urls]
 Homepage = "https://github.com/kaelio/ktx"
@@ -34,7 +34,7 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
-packages = ["src/klo_daemon"]
+packages = ["src/ktx_daemon"]
 
 [dependency-groups]
 dev = [
@@ -43,7 +43,7 @@ dev = [
 ]
 
 [tool.uv.sources]
-klo-sl = { workspace = true }
+ktx-sl = { workspace = true }
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]

python/ktx-daemon/src/ktx_daemon/__init__.py

@@ -0,0 +1,6 @@
+"""Portable compute package for KTX."""
+
+PACKAGE_NAME = "ktx-daemon"
+VERSION = "0.1.0"
+
+__all__ = ["PACKAGE_NAME", "VERSION"]

python/ktx-daemon/src/ktx_daemon/__main__.py

@@ -1,4 +1,4 @@
-"""Command entry point for one-shot KLO daemon compute operations."""
+"""Command entry point for one-shot KTX daemon compute operations."""
 
 from __future__ import annotations
 
@@ -9,32 +9,32 @@ from typing import Any
 
 from pydantic import ValidationError
 
-from klo_daemon.code_execution import ExecuteCodeRequest, execute_code_response
-from klo_daemon.database_introspection import (
+from ktx_daemon.code_execution import ExecuteCodeRequest, execute_code_response
+from ktx_daemon.database_introspection import (
     DatabaseIntrospectionRequest,
     introspect_database_response,
 )
-from klo_daemon.embeddings import (
+from ktx_daemon.embeddings import (
     ComputeEmbeddingBulkRequest,
     ComputeEmbeddingRequest,
     compute_embedding_bulk_response,
     compute_embedding_response,
 )
-from klo_daemon.lookml import ParseLookMLRequest, parse_lookml_project
-from klo_daemon.semantic_layer import (
+from ktx_daemon.lookml import ParseLookMLRequest, parse_lookml_project
+from ktx_daemon.semantic_layer import (
     SemanticLayerQueryRequest,
     ValidateSourcesRequest,
     query_semantic_layer,
     validate_semantic_layer,
 )
-from klo_daemon.source_generation import (
+from ktx_daemon.source_generation import (
     GenerateSourcesRequest,
     generate_sources_response,
 )
 
 
 def build_parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(prog="klo-daemon")
+    parser = argparse.ArgumentParser(prog="ktx-daemon")
     subcommands = parser.add_subparsers(dest="command", required=True)
     subcommands.add_parser("semantic-query", help="Compile a semantic-layer query")
     subcommands.add_parser("semantic-validate", help="Validate semantic-layer sources")
@@ -64,7 +64,7 @@ def build_parser() -> argparse.ArgumentParser:
     )
     serve_http = subcommands.add_parser(
         "serve-http",
-        help="Run the KLO daemon portable compute HTTP server",
+        help="Run the KTX daemon portable compute HTTP server",
     )
     serve_http.add_argument("--host", default="127.0.0.1")
     serve_http.add_argument("--port", type=int, default=8765)
@@ -98,7 +98,7 @@ def run_http_server(
 ) -> None:
     import uvicorn
 
-    from klo_daemon.app import create_app
+    from ktx_daemon.app import create_app
 
     uvicorn.run(
         create_app(enable_code_execution=enable_code_execution),

python/ktx-daemon/src/ktx_daemon/app.py

@@ -1,4 +1,4 @@
-"""FastAPI app factory for the KLO daemon semantic compute server."""
+"""FastAPI app factory for the KTX daemon semantic compute server."""
 
 from __future__ import annotations
 
@@ -9,18 +9,18 @@ from typing import Any
 from fastapi import FastAPI, HTTPException
 from fastapi.responses import Response
 
-from klo_daemon.code_execution import (
+from ktx_daemon.code_execution import (
     ExecuteCodeRequest,
     ExecuteCodeResponse,
     dumps_numpy_json,
     execute_code_response,
 )
-from klo_daemon.database_introspection import (
+from ktx_daemon.database_introspection import (
     DatabaseIntrospectionRequest,
     DatabaseIntrospectionResponse,
     introspect_database_response,
 )
-from klo_daemon.embeddings import (
+from ktx_daemon.embeddings import (
     ComputeEmbeddingBulkRequest,
     ComputeEmbeddingBulkResponse,
     ComputeEmbeddingRequest,
@@ -29,12 +29,12 @@ from klo_daemon.embeddings import (
     compute_embedding_bulk_response,
     compute_embedding_response,
 )
-from klo_daemon.lookml import (
+from ktx_daemon.lookml import (
     ParseLookMLRequest,
     ParseLookMLResponse,
     parse_lookml_project,
 )
-from klo_daemon.semantic_layer import (
+from ktx_daemon.semantic_layer import (
     SemanticLayerQueryRequest,
     SemanticLayerQueryResponse,
     ValidateSourcesRequest,
@@ -42,12 +42,12 @@ from klo_daemon.semantic_layer import (
     query_semantic_layer,
     validate_semantic_layer,
 )
-from klo_daemon.source_generation import (
+from ktx_daemon.source_generation import (
     GenerateSourcesRequest,
     GenerateSourcesResponse,
     generate_sources_response,
 )
-from klo_daemon.table_identifier import (
+from ktx_daemon.table_identifier import (
     ParseTableIdentifierBatchRequest,
     ParseTableIdentifierBatchResponse,
     parse_table_identifier_response,
@@ -73,8 +73,8 @@ def create_app(
     enable_code_execution: bool = False,
 ) -> FastAPI:
     app = FastAPI(
-        title="KLO Daemon",
-        description="Stateless portable compute server for KLO.",
+        title="KTX Daemon",
+        description="Stateless portable compute server for KTX.",
         version="0.1.0",
     )
 

python/ktx-daemon/src/ktx_daemon/code_execution.py

@@ -1,4 +1,4 @@
-"""Portable in-process code execution helpers for KLO daemon.
+"""Portable in-process code execution helpers for KTX daemon.
 
 This module preserves the host application's current Python execution behavior.
 It runs code with Python ``exec`` in the current process and does not provide

python/ktx-daemon/src/ktx_daemon/database_introspection.py

@@ -1,4 +1,4 @@
-"""Portable database introspection helpers for KLO daemon."""
+"""Portable database introspection helpers for KTX daemon."""
 
 from __future__ import annotations
 
@@ -183,7 +183,7 @@ def _load_postgres_rows(
     connection = psycopg.connect(
         request.url,
         connect_timeout=request.connection_timeout_seconds,
-        application_name="klo-daemon-database-introspection",
+        application_name="ktx-daemon-database-introspection",
         row_factory=dict_row,
     )
     try:

python/ktx-daemon/src/ktx_daemon/embeddings.py

@@ -1,4 +1,4 @@
-"""Portable embedding compute helpers for KLO daemon."""
+"""Portable embedding compute helpers for KTX daemon."""
 
 from __future__ import annotations
 

python/ktx-daemon/src/ktx_daemon/semantic_layer.py

@@ -1,4 +1,4 @@
-"""Semantic-layer compute helpers for the KLO daemon package."""
+"""Semantic-layer compute helpers for the KTX daemon package."""
 
 from __future__ import annotations
 

python/ktx-daemon/src/ktx_daemon/source_generation.py

@@ -1,4 +1,4 @@
-"""Generate klo-sl YAML source definitions from database schema scan data."""
+"""Generate ktx-sl YAML source definitions from database schema scan data."""
 
 from __future__ import annotations
 
@@ -243,7 +243,7 @@ def generate_sources(request: GenerateSourcesRequest) -> list[dict[str, Any]]:
         )
         sources.append(source.model_dump(exclude_none=True))
 
-    logger.info("Generated %d klo-sl source definitions", len(sources))
+    logger.info("Generated %d ktx-sl source definitions", len(sources))
     return sources
 
 

python/ktx-daemon/tests/test_app.py

@@ -2,8 +2,8 @@ from __future__ import annotations
 
 from fastapi.testclient import TestClient
 
-from klo_daemon.app import create_app
-from klo_daemon.database_introspection import (
+from ktx_daemon.app import create_app
+from ktx_daemon.database_introspection import (
     DatabaseIntrospectionResponse,
     LiveDatabaseColumn,
     LiveDatabaseTable,

python/ktx-daemon/tests/test_cli.py

@@ -30,7 +30,7 @@ def run_daemon_command(
     src_path = str(Path(__file__).resolve().parents[1] / "src")
     env["PYTHONPATH"] = src_path + os.pathsep + env.get("PYTHONPATH", "")
     return subprocess.run(
-        [sys.executable, "-m", "klo_daemon", command],
+        [sys.executable, "-m", "ktx_daemon", command],
         input=json.dumps(payload),
         text=True,
         capture_output=True,
@@ -79,7 +79,7 @@ def test_command_returns_nonzero_for_invalid_json() -> None:
     src_path = str(Path(__file__).resolve().parents[1] / "src")
     env["PYTHONPATH"] = src_path + os.pathsep + env.get("PYTHONPATH", "")
     result = subprocess.run(
-        [sys.executable, "-m", "klo_daemon", "semantic-query"],
+        [sys.executable, "-m", "ktx_daemon", "semantic-query"],
         input="{",
         text=True,
         capture_output=True,
@@ -94,7 +94,7 @@ def test_command_returns_nonzero_for_invalid_json() -> None:
 def test_serve_http_command_starts_uvicorn_without_reading_stdin(
     monkeypatch,
 ) -> None:
-    from klo_daemon import __main__ as daemon_main
+    from ktx_daemon import __main__ as daemon_main
 
     calls: list[dict[str, object]] = []
 
@@ -146,7 +146,7 @@ def test_serve_http_command_starts_uvicorn_without_reading_stdin(
 
 
 def test_serve_http_command_defaults_to_loopback(monkeypatch) -> None:
-    from klo_daemon import __main__ as daemon_main
+    from ktx_daemon import __main__ as daemon_main
 
     calls: list[dict[str, object]] = []
 
@@ -180,7 +180,7 @@ def test_serve_http_command_defaults_to_loopback(monkeypatch) -> None:
 
 
 def test_serve_http_command_can_enable_code_execution(monkeypatch) -> None:
-    from klo_daemon import __main__ as daemon_main
+    from ktx_daemon import __main__ as daemon_main
 
     calls: list[dict[str, object]] = []
 
@@ -300,8 +300,8 @@ def test_semantic_generate_sources_command_reads_stdin_and_writes_json() -> None
 def test_database_introspect_command_reads_stdin_and_writes_json(
     monkeypatch, capsys
 ) -> None:
-    from klo_daemon import __main__ as daemon_main
-    from klo_daemon.database_introspection import (
+    from ktx_daemon import __main__ as daemon_main
+    from ktx_daemon.database_introspection import (
         DatabaseIntrospectionResponse,
         LiveDatabaseColumn,
         LiveDatabaseTable,
@@ -353,8 +353,8 @@ def test_database_introspect_command_reads_stdin_and_writes_json(
 def test_embedding_compute_command_reads_stdin_and_writes_json(
     monkeypatch, capsys
 ) -> None:
-    from klo_daemon import __main__ as daemon_main
-    from klo_daemon.embeddings import ComputeEmbeddingResponse
+    from ktx_daemon import __main__ as daemon_main
+    from ktx_daemon.embeddings import ComputeEmbeddingResponse
 
     def fake_compute(request):
         assert request.text == "hello"
@@ -372,8 +372,8 @@ def test_embedding_compute_command_reads_stdin_and_writes_json(
 def test_embedding_compute_bulk_command_reads_stdin_and_writes_json(
     monkeypatch, capsys
 ) -> None:
-    from klo_daemon import __main__ as daemon_main
-    from klo_daemon.embeddings import ComputeEmbeddingBulkResponse
+    from ktx_daemon import __main__ as daemon_main
+    from ktx_daemon.embeddings import ComputeEmbeddingBulkResponse
 
     def fake_compute(request):
         assert request.texts == ["hello", "world"]
@@ -389,8 +389,8 @@ def test_embedding_compute_bulk_command_reads_stdin_and_writes_json(
 
 
 def test_code_execute_command_reads_stdin_and_writes_json(monkeypatch, capsys) -> None:
-    from klo_daemon import __main__ as daemon_main
-    from klo_daemon.code_execution import ExecuteCodeResponse
+    from ktx_daemon import __main__ as daemon_main
+    from ktx_daemon.code_execution import ExecuteCodeResponse
 
     calls: list[dict[str, Any]] = []
 

python/ktx-daemon/tests/test_code_execution.py

@@ -9,7 +9,7 @@ import orjson
 import pandas as pd
 import pytest
 
-from klo_daemon.code_execution import (
+from ktx_daemon.code_execution import (
     ExecuteCodeRequest,
     create_scratchpad_helpers,
     detect_visualizations,

python/ktx-daemon/tests/test_database_introspection.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import pytest
 
-from klo_daemon.database_introspection import (
+from ktx_daemon.database_introspection import (
     DatabaseIntrospectionRequest,
     DatabaseIntrospectionRows,
     _statement_timeout_config,

python/ktx-daemon/tests/test_embeddings.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import pytest
 
-from klo_daemon.embeddings import (
+from ktx_daemon.embeddings import (
     ComputeEmbeddingBulkRequest,
     ComputeEmbeddingRequest,
     SentenceTransformersEmbeddingProvider,

python/ktx-daemon/tests/test_lookml.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from klo_daemon.lookml import (
+from ktx_daemon.lookml import (
     LookMLFileInput,
     ParseLookMLRequest,
     parse_lookml_project,

python/ktx-daemon/tests/test_package.py

@@ -0,0 +1,6 @@
+from ktx_daemon import PACKAGE_NAME, VERSION
+
+
+def test_package_metadata() -> None:
+    assert PACKAGE_NAME == "ktx-daemon"
+    assert VERSION == "0.1.0"

python/ktx-daemon/tests/test_semantic_layer.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from klo_daemon.semantic_layer import (
+from ktx_daemon.semantic_layer import (
     SemanticLayerQueryRequest,
     ValidateSourcesRequest,
     query_semantic_layer,

python/ktx-daemon/tests/test_source_generation.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from klo_daemon.source_generation import (
+from ktx_daemon.source_generation import (
     ColumnInput,
     GenerateSourcesRequest,
     LinkInput,

python/ktx-sl/pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "klo-sl"
+name = "ktx-sl"
 version = "0.1.0"
 description = "Agent-first semantic layer engine with aggregate locality"
 readme = "README.md"

python/ktx-sl/scripts/gen_b2b_saas_model.py

@@ -2,8 +2,8 @@
 """Generate semantic layer YAML sources from demo DB metadata.
 
 Usage:
-    kubectl port-forward -n klo-demo deployment/klo-demo-db 5433:5432 &
-    KLO_DEMO_DB_PASSWORD=local-demo-password python scripts/gen_b2b_saas_model.py
+    kubectl port-forward -n ktx-demo deployment/ktx-demo-db 5433:5432 &
+    KTX_DEMO_DB_PASSWORD=local-demo-password python scripts/gen_b2b_saas_model.py
 """
 
 import os
@@ -14,11 +14,11 @@ CONNECTION_ID = "256bc76b-cc47-4d5d-a9fc-5bcfb0364d44"
 OUTPUT_DIR = os.path.join(os.path.dirname(__file__), "..", "sources", "b2b_saas")
 
 DB_PARAMS = {
-    "host": os.environ.get("KLO_DEMO_DB_HOST", "127.0.0.1"),
-    "port": int(os.environ.get("KLO_DEMO_DB_PORT", "5433")),
-    "user": os.environ.get("KLO_DEMO_DB_USER", "klo-demo-user"),
-    "password": os.environ.get("KLO_DEMO_DB_PASSWORD", ""),
-    "dbname": os.environ.get("KLO_DEMO_DB_NAME", "klo-demo-db"),
+    "host": os.environ.get("KTX_DEMO_DB_HOST", "127.0.0.1"),
+    "port": int(os.environ.get("KTX_DEMO_DB_PORT", "5433")),
+    "user": os.environ.get("KTX_DEMO_DB_USER", "ktx-demo-user"),
+    "password": os.environ.get("KTX_DEMO_DB_PASSWORD", ""),
+    "dbname": os.environ.get("KTX_DEMO_DB_NAME", "ktx-demo-db"),
 }
 
 # Map DB types to semantic layer types

python/ktx-sl/scripts/slquery.py

@@ -21,7 +21,7 @@ from semantic_layer.engine import SemanticEngine
 
 SOURCES_DIR = Path(__file__).resolve().parent.parent / "sources" / "b2b_saas"
 DB_PATH = Path(
-    os.environ.get("KLO_B2B_SQLITE_DB", "sample-data-generator/b2b_data.db")
+    os.environ.get("KTX_B2B_SQLITE_DB", "sample-data-generator/b2b_data.db")
 ).expanduser()
 
 # sqlglot's sqlite dialect handles most transpilation, but has a few gaps.