ktx/python/ktx-daemon

ktx-daemon

ktx-daemon is the portable Python compute package for KTX.

It supports portable compute in two modes:

• One-shot commands, used by default by @ktx/context.
• An explicit HTTP server for long-running local MCP sessions.

One-shot semantic query

printf '%s\n' '{"sources":[],"query":{"measures":[],"dimensions":[]},"dialect":"postgres"}' \
  | ktx-daemon semantic-query

One-shot source generation

Generate semantic-layer sources from schema scan data:

printf '%s\n' '{"tables":[{"name":"orders","db":"public","columns":[{"name":"id","type":"integer","primary_key":true}]}],"links":[],"dialect":"postgres"}' \
  | ktx-daemon semantic-generate-sources

One-shot database introspection

Introspect a Postgres database schema:

printf '%s\n' '{"connection_id":"warehouse","driver":"postgres","url":"postgresql://readonly@example.test/warehouse","schemas":["public"]}' \
  | ktx-daemon database-introspect

One-shot LookML parsing

Parse LookML projects into resolved, KSL-ready structures:

printf '%s\n' '{"files":[{"path":"views/orders.view.lkml","content":"view: orders { sql_table_name: public.orders ;; measure: order_count { type: count } }"}],"dialect":"postgres"}' \
  | ktx-daemon lookml-parse

One-shot embeddings

Compute text embeddings locally:

printf '%s\n' '{"text":"hello"}' \
  | ktx-daemon embedding-compute

Compute text embeddings locally in bulk:

printf '%s\n' '{"texts":["hello","world"]}' \
  | ktx-daemon embedding-compute-bulk

One-shot code execution

Execute Python code with the current in-process boundary:

printf '%s\n' '{"code":"result = 1 + 2"}' \
  | ktx-daemon code-execute

HTTP compute server

Start the HTTP compute server with code execution disabled:

ktx-daemon serve-http --host 127.0.0.1 --port 8765

Enable HTTP code execution explicitly:

ktx-daemon serve-http --host 127.0.0.1 --port 8765 --enable-code-execution

Available HTTP endpoints:

• GET /health
• POST /database/introspect
• POST /embeddings/compute
• POST /embeddings/compute-bulk
• POST /lookml/parse
• POST /semantic-layer/generate-sources
• POST /semantic-layer/query
• POST /semantic-layer/validate
• POST /code/execute when --enable-code-execution is passed

The HTTP server exposes Postgres database introspection, LookML parsing, local embedding compute, and semantic-layer compute for source generation, query compilation, and validation. 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 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.