ktx/packages/cli/src/agent-runtime.ts
Andrey Avtomonov 9dad936ac7
feat: npm-managed Python runtime for @kaelio/ktx (#7)
* docs: add npm managed python runtime design

* build: add bundled python runtime wheel builder

* build: make local embedding dependencies optional

* build: bundle python runtime wheel in cli artifacts

* build: track bundled python runtime release artifact

* test: verify bundled python runtime wheel

* docs: add plan for bundled python runtime wheel

* test: cover managed python runtime lifecycle

* feat: add managed python runtime installer

* feat: add runtime command runner

* feat: expose runtime management commands

* test: verify managed python runtime commands

* docs: add plan for managed python runtime installer

* feat: add managed python command helper

* feat: use managed runtime for sl query compute

* feat: route sl query managed runtime policy

* docs: add plan for managed runtime sl query integration

* feat: add managed runtime daemon metadata

* feat: manage python daemon lifecycle

* feat: add runtime daemon start stop commands

* fix: verify managed runtime daemon lifecycle

* docs: add plan for managed runtime daemon lifecycle

* feat: add managed local embeddings config marker

* feat: add managed local embeddings daemon helper

* feat: use managed runtime for local embedding setup

* feat: pass managed runtime policy through setup

* docs: add plan for managed local embeddings runtime

* feat: read CLI package metadata dynamically

* feat: assemble public kaelio ktx npm package

* feat: release one public kaelio ktx npm artifact

* test: cover public kaelio ktx package invocations

* chore: verify public kaelio ktx package artifacts

* docs: add plan for public kaelio ktx npm package

* test: verify managed runtime in public package smoke

* test: finalize managed runtime release smoke

* docs: add plan for managed runtime release smoke

* test: specify local embeddings release smoke

* feat: add local embeddings runtime smoke

* chore: register local embeddings smoke

* fix: verify local embeddings smoke

* fix: restore artifact smoke python env helper

* docs: add plan for managed local embeddings release smoke

* refactor: share managed runtime install policy parsing

* feat: use managed runtime for agent semantic queries

* feat: use managed runtime for MCP semantic compute

* docs: add plan for managed agent and MCP semantic runtime

* feat(cli): add managed daemon HTTP helpers

* feat(cli): route local adapters through managed daemon

* feat(cli): use managed daemon for ingest helpers

* feat(cli): pass managed daemon options to scan

* feat(context): pass MCP ingest pull config options

* feat(cli): pass managed daemon options to serve ingest

* test: verify managed local ingest daemon runtime

* docs: add plan for managed local ingest daemon runtime

* docs: align managed runtime examples

* docs: add plan for managed runtime docs cleanup

* test: cover published package runtime smoke commands

* test: validate published package smoke outputs

* docs: add plan for published package runtime smoke

* build: stamp public npm package version

* release: add npm public release policy

* release: add guarded npm publish script

* release: document public npm release handoff

* docs: add plan for public npm release handoff

* test: cover managed runtime prune in package smoke

* docs: document managed runtime prune

* docs: add plan for managed runtime prune smoke and docs

* chore: encode uv runtime prerequisite policy

* fix: clarify missing uv runtime error

* docs: document uv runtime prerequisite

* docs: add plan for uv runtime prerequisite contract

* refactor: limit release artifacts to public package runtime

* chore: align release policy with bundled runtime wheel

* docs: describe single public runtime artifact surface

* test: verify single public runtime artifact contract

* docs: add plan for single public runtime artifact cleanup

* fix: align local embeddings smoke with public version

* docs: add plan for local embeddings smoke public version

* release: soft-launch as @kaelio/ktx@0.1.0-rc.0 on next tag

Publish target moves to the pre-release version 0.1.0-rc.0 under the next
dist-tag so npm install @kaelio/ktx (which resolves to latest) does not
pick up the soft-launch build. Users opt in via @kaelio/ktx@next.

* Fix release script boundary checks

* Remove PostHog from public package bundle
2026-05-11 15:50:34 +02:00

109 lines
4 KiB
TypeScript

import { readFile } from 'node:fs/promises';
import { createDefaultLocalQueryExecutor, type KtxSqlQueryExecutorPort } from '@ktx/context/connections';
import type { KtxSemanticLayerComputePort } from '@ktx/context/daemon';
import { createLocalProjectMcpContextPorts, type KtxMcpContextPorts } from '@ktx/context/mcp';
import { type KtxLocalProject, loadKtxProject } from '@ktx/context/project';
import type { KtxCliIo } from './cli-runtime.js';
import {
createManagedPythonSemanticLayerComputePort,
type KtxManagedPythonInstallPolicy,
} from './managed-python-command.js';
export const KTX_AGENT_MAX_ROWS_CAP = 1000;
export interface KtxAgentRuntimeOptions {
projectDir: string;
enableSemanticCompute: boolean;
enableQueryExecution: boolean;
cliVersion?: string;
runtimeInstallPolicy?: KtxManagedPythonInstallPolicy;
io?: KtxCliIo;
}
export interface KtxAgentRuntime {
project: KtxLocalProject;
ports: KtxMcpContextPorts;
semanticLayerCompute?: KtxSemanticLayerComputePort;
queryExecutor?: KtxSqlQueryExecutorPort;
}
export interface KtxAgentRuntimeDeps {
loadProject?: typeof loadKtxProject;
createContextTools?: typeof createLocalProjectMcpContextPorts;
createSemanticLayerCompute?: () => KtxSemanticLayerComputePort;
createManagedSemanticLayerCompute?: typeof createManagedPythonSemanticLayerComputePort;
createQueryExecutor?: () => KtxSqlQueryExecutorPort;
}
export function writeAgentJson(io: KtxCliIo, value: unknown): void {
io.stdout.write(`${JSON.stringify(value, null, 2)}\n`);
}
export function writeAgentJsonError(
io: KtxCliIo,
message: string,
detail: Record<string, unknown> = {},
): void {
io.stderr.write(`${JSON.stringify({ ok: false, error: { message, ...detail } }, null, 2)}\n`);
}
export async function readAgentJsonFile(path: string): Promise<Record<string, unknown>> {
const parsed = JSON.parse(await readFile(path, 'utf-8')) as unknown;
if (!parsed || typeof parsed !== 'object' || Array.isArray(parsed)) {
throw new Error(`${path} must contain a JSON object.`);
}
return parsed as Record<string, unknown>;
}
export function parseAgentMaxRows(value: number | undefined): number {
if (!Number.isInteger(value) || value === undefined || value <= 0) {
throw new Error('maxRows is required and must be a positive integer.');
}
if (value > KTX_AGENT_MAX_ROWS_CAP) {
throw new Error(`maxRows must be less than or equal to ${KTX_AGENT_MAX_ROWS_CAP}.`);
}
return value;
}
async function createAgentSemanticLayerCompute(
options: KtxAgentRuntimeOptions,
deps: KtxAgentRuntimeDeps,
): Promise<KtxSemanticLayerComputePort | undefined> {
if (!options.enableSemanticCompute) {
return undefined;
}
if (deps.createSemanticLayerCompute) {
return deps.createSemanticLayerCompute();
}
if (!options.cliVersion || !options.runtimeInstallPolicy || !options.io) {
throw new Error('Managed Python semantic compute requires cliVersion, runtimeInstallPolicy, and io.');
}
const createManagedSemanticLayerCompute =
deps.createManagedSemanticLayerCompute ?? createManagedPythonSemanticLayerComputePort;
return createManagedSemanticLayerCompute({
cliVersion: options.cliVersion,
installPolicy: options.runtimeInstallPolicy,
io: options.io,
});
}
export async function createKtxAgentRuntime(
options: KtxAgentRuntimeOptions,
deps: KtxAgentRuntimeDeps = {},
): Promise<KtxAgentRuntime> {
const project = await (deps.loadProject ?? loadKtxProject)({ projectDir: options.projectDir });
const semanticLayerCompute = await createAgentSemanticLayerCompute(options, deps);
const queryExecutor = options.enableQueryExecution
? (deps.createQueryExecutor ?? createDefaultLocalQueryExecutor)()
: undefined;
const ports = (deps.createContextTools ?? createLocalProjectMcpContextPorts)(project, {
...(semanticLayerCompute ? { semanticLayerCompute } : {}),
...(queryExecutor ? { queryExecutor } : {}),
});
return {
project,
ports,
...(semanticLayerCompute ? { semanticLayerCompute } : {}),
...(queryExecutor ? { queryExecutor } : {}),
};
}