ktx/packages/cli/test/context/llm/claude-code-runtime.test.ts

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feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
import { describe, expect, it, vi } from 'vitest';
import { z } from 'zod';
import type { SDKMessage } from '@anthropic-ai/claude-agent-sdk';
test: split cli tests from source tree (#216) * feat(cli): define full warehouse dialect contract * test(cli): keep dialect edge tests focused * fix(cli): stabilize dialect contract foundation * refactor(connectors): own read-only query preparation * refactor(connectors): resolve dialects through registry * refactor(connectors): keep concrete dialect classes internal * chore(workspace): enforce dialect import boundary * refactor(cli): resolve relationship dialect at scan boundary * refactor(cli): use dialect display parsing for entity details * refactor(cli): use dialect display parsing for warehouse catalog * refactor(cli): use dialect SQL in relationship workflows * test(cli): verify solid dialect scan workflow closure * test: split cli tests from source tree * refactor(cli): standardize BigQuery scope listing * feat(sqlite): implement connector scope listing * test(connectors): cover required table listing * feat(cli): add warehouse driver registry * refactor(setup): route scope discovery through driver registry * refactor(cli): route local query execution through driver registry * refactor(historic-sql): route dialect support through driver registry * refactor(cli): test warehouse connections through driver registry * fix(cli): close driver registry type export gaps * Improve setup daemon diagnostics * refactor(setup): centralize rail-prefixed diagnostics + query-history fallback Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput into clack.ts so the setup wizard, managed daemons, and embedding/agent steps share one rail-formatted writer. setup-databases.ts also adds a "disable query history and retry" option when the schema-context build fails and query history is the likely culprit, surfaced via a new failed-query-history-unavailable status. * fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match The setup picker's KtxTableListEntry was a 2-level { schema, name }, so qualifiedTableId always wrote db.name into enabled_tables. When BigQuery, Snowflake, or SQL Server later ran fast ingest, their introspect step filtered the scope set with scopedTableNames(scope, { catalog: projectId|database, db }) — catalog was non-null on the introspect side but null in the scope refs, so every entry was rejected, the live-database adapter staged zero table files, and detect() failed with 'Adapter "live-database" did not recognize fetched source output'. Align the picker boundary with the canonical 3-level KtxTableRef: - Add catalog: string | null to KtxTableListEntry. - BigQuery/Snowflake/SQL Server listTables populate catalog from the resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null. - qualifiedTableId emits catalog.schema.name when catalog is non-null (resolveEnabledTables already accepts the 3-part shape) and schemasFromEnabledTables now goes through parseDottedTableEntry so it recovers the schema correctly from both 2-part and 3-part entries. - Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker reuse. Update listTables expectations in all seven connector tests and the setup / picker test fixtures. Add a picker regression test that covers the catalog-bearing round-trip (save + refine). * fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
import { ClaudeCodeKtxLlmRuntime, mapClaudeCodeStopReason, runClaudeCodeAuthProbe } from '../../../src/context/llm/claude-code-runtime.js';
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
async function* stream(messages: SDKMessage[]): AsyncGenerator<SDKMessage, void> {
for (const message of messages) {
yield message;
}
}
function initMessage(overrides: Partial<Extract<SDKMessage, { type: 'system'; subtype: 'init' }>> = {}): Extract<
SDKMessage,
{ type: 'system'; subtype: 'init' }
> {
return {
type: 'system',
subtype: 'init',
apiKeySource: 'none' as never, // pragma: allowlist secret
claude_code_version: '0.3.142',
cwd: '/tmp/project',
tools: [],
mcp_servers: [],
model: 'claude-sonnet-4-6',
permissionMode: 'dontAsk',
slash_commands: [],
output_style: 'default',
skills: [],
plugins: [],
uuid: '00000000-0000-4000-8000-000000000001',
session_id: 'session-id',
...overrides,
};
}
function resultMessage(overrides: Partial<Extract<SDKMessage, { type: 'result' }>> = {}): Extract<
SDKMessage,
{ type: 'result' }
> {
return {
type: 'result',
subtype: 'success',
duration_ms: 1,
duration_api_ms: 1,
is_error: false,
num_turns: 1,
result: 'ok',
stop_reason: null,
total_cost_usd: 0,
usage: {} as never,
modelUsage: {},
permission_denials: [],
errors: [],
uuid: '00000000-0000-4000-8000-000000000002',
session_id: 'session-id',
...overrides,
} as Extract<SDKMessage, { type: 'result' }>;
}
describe('ClaudeCodeKtxLlmRuntime', () => {
it('passes isolation options and scrubbed env to text generation', async () => {
const query = vi.fn((_input: any) => stream([initMessage(), resultMessage({ result: 'hello' })]));
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: { ANTHROPIC_API_KEY: 'sk-ant-test', PATH: '/usr/bin' }, // pragma: allowlist secret
});
await expect(runtime.generateText({ role: 'default', prompt: 'say hello' })).resolves.toBe('hello');
expect(query).toHaveBeenCalledWith({
prompt: 'say hello',
options: expect.objectContaining({
cwd: '/tmp/project',
model: 'claude-sonnet-4-6',
maxTurns: 1,
settingSources: [],
skills: [],
plugins: [],
tools: [],
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
managedSettings: {
allowManagedMcpServersOnly: true,
allowedMcpServers: [],
},
strictMcpConfig: true,
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
allowedTools: [],
permissionMode: 'dontAsk',
persistSession: false,
env: expect.not.objectContaining({ ANTHROPIC_API_KEY: 'sk-ant-test' }),
}),
});
});
fix(snowflake): unblock multi-schema ingest and relationship discovery (#204) * feat(setup): drop redundant Snowflake schema prompt; fall back to free-text on listSchemas failure Snowflake setup previously asked for a single schema as free text, then ran a multiselect against the discovered schemas — two schema questions back-to-back, with the first being only a session bootstrap. The SDK's `schema` is optional, so the bootstrap step is unnecessary. - Remove the free-text Snowflake schema prompt; only pass `schema` to snowflake-sdk when one is configured. - When `listSchemas()` fails (e.g. role lacks SHOW SCHEMAS), prompt the user for a comma-separated list, persist it as `schema_names`, and use it as both the table-list filter and the multiselect default. Applies to every driver with a scope-discovery spec, not just Snowflake. - Update docs to lead with `schema_names`; keep `schema_name` as a documented single-schema shorthand. * fix(snowflake): keep introspecting when primary-key discovery is denied The PK query joins INFORMATION_SCHEMA.TABLE_CONSTRAINTS and INFORMATION_SCHEMA.KEY_COLUMN_USAGE, which require grants the connection role may not have. Previously a 'SQL compilation error: Object ANALYTICS.INFORMATION_SCHEMA.KEY_COLUMN_USAGE does not exist or not authorized' aborted the entire introspect — schemas, columns, and row counts were all discarded over a missing nice-to-have. Wrap the constraint query in try/catch, log a one-line warning per schema, and return an empty PK map. Columns end up with primaryKey=false; relationship inference still has FK and profiling to fall back on. * fix(scan): unblock relationship discovery on Snowflake Two adjacent bugs prevented the scan's relationship pipeline from producing any joins on a Snowflake warehouse: - relationship-profiling.ts fell through to a default `GROUP_CONCAT` branch for unknown drivers. Snowflake has no GROUP_CONCAT, so every per-table profile query failed with "Unknown function GROUP_CONCAT". Add an explicit Snowflake branch that uses LISTAGG with a literal '\x1f' delimiter (Snowflake requires the delimiter to be a constant, so CHR(31) is rejected). - description-generation.ts destructured `connector.sampleTable` and `connector.sampleColumn` into bare locals, losing the `this` binding when the class-method connectors (Snowflake, Postgres, MySQL) were invoked. Every sample call threw "Cannot read properties of undefined (reading 'assertConnection')" and degraded LLM descriptions to metadata-only prompts. Call the methods through the connector instead. Without these, even after the primary-key probe is allowed to fail softly, the scan ends up with 0 validated relationships and an empty `joins:` block in every shard YAML. * test(scan): cover table-ref helpers * feat(scan): plumb tableScope through live-database introspection port * feat(scan): apply tableScope during metadata fetch * feat(scan): enforce table scope at fetch boundary * feat(scan): pool Snowflake sessions and batch enrichment for faster ingest (#206) * feat(cli): add RSA key-pair auth option to Snowflake setup wizard Extends the interactive Snowflake setup flow with an authentication-method prompt (password vs RSA/JWT key-pair). The RSA branch collects a private-key path (env/file/absolute) and an optional passphrase; the resulting connection config records `authMethod: 'rsa'` with `privateKey` and `passphrase` instead of `password`. * feat(scan): pool Snowflake sessions * fix(scan): reuse structural snapshots and cleanup connectors * feat(scan): parallelize relationship profiling * feat(scan): batch table description generation * docs: document Snowflake ingest concurrency knobs * fix(scan): close Snowflake ingest perf verification gaps * fix(scan): keep batched description failure bounded * feat(scan): dispatch query-history probes by connection driver Extract historic-sql dialect resolution into a shared helper so the status-project readiness check and the local ingest factory agree on which connections enable query history and which probe to run. The status command now picks the postgres/snowflake/bigquery probe based on the connection's driver instead of always reporting against postgres, which previously caused snowflake connections with queryHistory.enabled to surface a misleading "driver is snowflake" failure. Also drops a noisy console.warn from Snowflake primary-key discovery — INFORMATION_SCHEMA.KEY_COLUMN_USAGE is commonly ungranted for read-only roles and the FK + profiling paths handle the empty PK map already. * fix(llm): allow StructuredOutput tool and raise maxTurns for generateObject The Claude Code agent SDK announces an internal pseudo-tool named StructuredOutput in the system/init message whenever outputFormat is set to { type: 'json_schema' }. The runtime's isolation check built its allowedToolIds set only from MCP tool ids and treated StructuredOutput as an unexpected host-injected tool, so every generateObject call threw "Claude Code runtime isolation failed: tools=StructuredOutput ..." and the table-descriptions and relationship-LLM-proposal enrichment stages recorded null output across the board. Whitelist StructuredOutput specifically in generateObject's allowedToolIds — the check also enforces missing_tools symmetry, so generateText and runAgentLoop, which do not see StructuredOutput, must not require it. generateObject also ran with maxTurns: 1, which the model intermittently breached when it emitted thinking text before the structured response. Raised to 5 to give the schema-bound call enough headroom without allowing unbounded loops. The existing tests now exercise the path with an init message that announces StructuredOutput so the regression cannot slip back in. * chore(scripts): add ktx-reset.sh project-cleanup helper Convenience script for repeatable ingest testing: takes a project directory and prunes everything except ktx.yaml and .ktx/secrets/, so the next ktx setup or ktx ingest run starts from a known-clean state.
2026-05-23 10:41:30 +02:00
it('validates structured output with the caller schema and whitelists the SDK StructuredOutput tool', async () => {
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
const schema = z.object({ answer: z.string() });
fix(snowflake): unblock multi-schema ingest and relationship discovery (#204) * feat(setup): drop redundant Snowflake schema prompt; fall back to free-text on listSchemas failure Snowflake setup previously asked for a single schema as free text, then ran a multiselect against the discovered schemas — two schema questions back-to-back, with the first being only a session bootstrap. The SDK's `schema` is optional, so the bootstrap step is unnecessary. - Remove the free-text Snowflake schema prompt; only pass `schema` to snowflake-sdk when one is configured. - When `listSchemas()` fails (e.g. role lacks SHOW SCHEMAS), prompt the user for a comma-separated list, persist it as `schema_names`, and use it as both the table-list filter and the multiselect default. Applies to every driver with a scope-discovery spec, not just Snowflake. - Update docs to lead with `schema_names`; keep `schema_name` as a documented single-schema shorthand. * fix(snowflake): keep introspecting when primary-key discovery is denied The PK query joins INFORMATION_SCHEMA.TABLE_CONSTRAINTS and INFORMATION_SCHEMA.KEY_COLUMN_USAGE, which require grants the connection role may not have. Previously a 'SQL compilation error: Object ANALYTICS.INFORMATION_SCHEMA.KEY_COLUMN_USAGE does not exist or not authorized' aborted the entire introspect — schemas, columns, and row counts were all discarded over a missing nice-to-have. Wrap the constraint query in try/catch, log a one-line warning per schema, and return an empty PK map. Columns end up with primaryKey=false; relationship inference still has FK and profiling to fall back on. * fix(scan): unblock relationship discovery on Snowflake Two adjacent bugs prevented the scan's relationship pipeline from producing any joins on a Snowflake warehouse: - relationship-profiling.ts fell through to a default `GROUP_CONCAT` branch for unknown drivers. Snowflake has no GROUP_CONCAT, so every per-table profile query failed with "Unknown function GROUP_CONCAT". Add an explicit Snowflake branch that uses LISTAGG with a literal '\x1f' delimiter (Snowflake requires the delimiter to be a constant, so CHR(31) is rejected). - description-generation.ts destructured `connector.sampleTable` and `connector.sampleColumn` into bare locals, losing the `this` binding when the class-method connectors (Snowflake, Postgres, MySQL) were invoked. Every sample call threw "Cannot read properties of undefined (reading 'assertConnection')" and degraded LLM descriptions to metadata-only prompts. Call the methods through the connector instead. Without these, even after the primary-key probe is allowed to fail softly, the scan ends up with 0 validated relationships and an empty `joins:` block in every shard YAML. * test(scan): cover table-ref helpers * feat(scan): plumb tableScope through live-database introspection port * feat(scan): apply tableScope during metadata fetch * feat(scan): enforce table scope at fetch boundary * feat(scan): pool Snowflake sessions and batch enrichment for faster ingest (#206) * feat(cli): add RSA key-pair auth option to Snowflake setup wizard Extends the interactive Snowflake setup flow with an authentication-method prompt (password vs RSA/JWT key-pair). The RSA branch collects a private-key path (env/file/absolute) and an optional passphrase; the resulting connection config records `authMethod: 'rsa'` with `privateKey` and `passphrase` instead of `password`. * feat(scan): pool Snowflake sessions * fix(scan): reuse structural snapshots and cleanup connectors * feat(scan): parallelize relationship profiling * feat(scan): batch table description generation * docs: document Snowflake ingest concurrency knobs * fix(scan): close Snowflake ingest perf verification gaps * fix(scan): keep batched description failure bounded * feat(scan): dispatch query-history probes by connection driver Extract historic-sql dialect resolution into a shared helper so the status-project readiness check and the local ingest factory agree on which connections enable query history and which probe to run. The status command now picks the postgres/snowflake/bigquery probe based on the connection's driver instead of always reporting against postgres, which previously caused snowflake connections with queryHistory.enabled to surface a misleading "driver is snowflake" failure. Also drops a noisy console.warn from Snowflake primary-key discovery — INFORMATION_SCHEMA.KEY_COLUMN_USAGE is commonly ungranted for read-only roles and the FK + profiling paths handle the empty PK map already. * fix(llm): allow StructuredOutput tool and raise maxTurns for generateObject The Claude Code agent SDK announces an internal pseudo-tool named StructuredOutput in the system/init message whenever outputFormat is set to { type: 'json_schema' }. The runtime's isolation check built its allowedToolIds set only from MCP tool ids and treated StructuredOutput as an unexpected host-injected tool, so every generateObject call threw "Claude Code runtime isolation failed: tools=StructuredOutput ..." and the table-descriptions and relationship-LLM-proposal enrichment stages recorded null output across the board. Whitelist StructuredOutput specifically in generateObject's allowedToolIds — the check also enforces missing_tools symmetry, so generateText and runAgentLoop, which do not see StructuredOutput, must not require it. generateObject also ran with maxTurns: 1, which the model intermittently breached when it emitted thinking text before the structured response. Raised to 5 to give the schema-bound call enough headroom without allowing unbounded loops. The existing tests now exercise the path with an init message that announces StructuredOutput so the regression cannot slip back in. * chore(scripts): add ktx-reset.sh project-cleanup helper Convenience script for repeatable ingest testing: takes a project directory and prunes everything except ktx.yaml and .ktx/secrets/, so the next ktx setup or ktx ingest run starts from a known-clean state.
2026-05-23 10:41:30 +02:00
const query = vi.fn((_input: any) =>
stream([
initMessage({ tools: ['StructuredOutput'] }),
resultMessage({ structured_output: { answer: 'yes' } }),
]),
);
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
});
await expect(runtime.generateObject({ role: 'default', prompt: 'json', schema })).resolves.toEqual({ answer: 'yes' });
expect(query.mock.calls[0][0].options.outputFormat).toMatchObject({
type: 'json_schema',
schema: expect.objectContaining({ type: 'object' }),
});
});
it('registers only exact KTX MCP tool ids and denies non-KTX tools', async () => {
const query = vi.fn((_input: any) =>
stream([
initMessage({ tools: ['mcp__ktx__load_skill'], mcp_servers: [{ name: 'ktx', status: 'connected' }] }),
{
type: 'assistant',
message: { role: 'assistant', content: [] },
parent_tool_use_id: null,
uuid: '00000000-0000-4000-8000-000000000003',
session_id: 'session-id',
} as unknown as SDKMessage,
resultMessage({ subtype: 'error_max_turns', is_error: true }),
]),
);
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
});
const onStepFinish = vi.fn();
await runtime.runAgentLoop({
modelRole: 'default',
systemPrompt: 'system',
userPrompt: 'user',
toolSet: {
load_skill: {
name: 'load_skill',
description: 'Load skill.',
inputSchema: z.object({ name: z.string() }),
execute: async () => ({ markdown: 'loaded' }),
},
},
stepBudget: 1,
telemetryTags: { operationName: 'test' },
onStepFinish,
});
const options = query.mock.calls[0][0].options;
expect(options.allowedTools).toEqual(['mcp__ktx__load_skill']);
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
expect(options.managedSettings).toEqual({
allowManagedMcpServersOnly: true,
allowedMcpServers: [{ serverName: 'ktx' }],
});
expect(options.strictMcpConfig).toBe(true);
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
expect(await options.canUseTool('mcp__ktx__load_skill', {}, { signal: new AbortController().signal, toolUseID: '1' })).toEqual({
behavior: 'allow',
toolUseID: '1',
});
expect(await options.canUseTool('Bash', {}, { signal: new AbortController().signal, toolUseID: '2' })).toMatchObject({
behavior: 'deny',
toolUseID: '2',
});
expect(onStepFinish).toHaveBeenCalledWith({ stepIndex: 1, stepBudget: 1 });
});
it('treats host-discovered commands skills and agents as non-fatal init metadata for text and auth probe', async () => {
const hostDiscoveredInit = initMessage({
slash_commands: ['/help', '/compact', '/clear', '/user-command'],
skills: ['pdf', 'docx'],
agents: ['claude', 'Explore', 'general-purpose'],
});
const textQuery = vi.fn((_input: any) => stream([hostDiscoveredInit, resultMessage({ result: 'hello' })]));
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query: textQuery,
env: { ANTHROPIC_API_KEY: 'sk-ant-test', PATH: '/usr/bin' }, // pragma: allowlist secret
});
await expect(runtime.generateText({ role: 'default', prompt: 'say hello' })).resolves.toBe('hello');
const textOptions = textQuery.mock.calls[0][0].options;
expect(textOptions).toMatchObject({
settingSources: [],
skills: [],
plugins: [],
tools: [],
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
managedSettings: {
allowManagedMcpServersOnly: true,
allowedMcpServers: [],
},
strictMcpConfig: true,
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
allowedTools: [],
permissionMode: 'dontAsk',
persistSession: false,
env: expect.not.objectContaining({ ANTHROPIC_API_KEY: 'sk-ant-test' }),
});
expect(textOptions.disallowedTools).toEqual(expect.arrayContaining(['Agent', 'Task', 'Bash']));
expect(await textOptions.canUseTool('Agent', {}, { signal: new AbortController().signal, toolUseID: 'agent' })).toMatchObject({
behavior: 'deny',
toolUseID: 'agent',
});
expect(await textOptions.canUseTool('Skill', {}, { signal: new AbortController().signal, toolUseID: 'skill' })).toMatchObject({
behavior: 'deny',
toolUseID: 'skill',
});
expect(
await textOptions.canUseTool('SlashCommand', {}, { signal: new AbortController().signal, toolUseID: 'slash' }),
).toMatchObject({
behavior: 'deny',
toolUseID: 'slash',
});
const probeQuery = vi.fn((_input: any) => stream([hostDiscoveredInit, resultMessage({ result: 'ok' })]));
await expect(
runClaudeCodeAuthProbe({
projectDir: '/tmp/project',
model: 'sonnet',
query: probeQuery,
env: { ANTHROPIC_AUTH_TOKEN: 'token', HOME: '/Users/test' },
}),
).resolves.toEqual({ ok: true });
expect(probeQuery.mock.calls[0][0].options).toMatchObject({
settingSources: [],
skills: [],
plugins: [],
tools: [],
allowedTools: [],
permissionMode: 'dontAsk',
persistSession: false,
env: expect.objectContaining({ HOME: '/Users/test' }),
});
expect(probeQuery.mock.calls[0][0].options.env).not.toEqual(
expect.objectContaining({ ANTHROPIC_AUTH_TOKEN: 'token' }),
);
});
it('allows host-discovered context during agent loops while requiring exact KTX MCP tools and servers', async () => {
const query = vi.fn((_input: any) =>
stream([
initMessage({
tools: ['mcp__ktx__load_skill'],
mcp_servers: [{ name: 'ktx', status: 'connected' }],
slash_commands: ['/help', '/compact', '/clear'],
skills: ['memory-agent', 'doc-reader'],
agents: ['claude', 'Plan', 'Explore'],
}),
{
type: 'assistant',
message: { role: 'assistant', content: [] },
parent_tool_use_id: null,
uuid: '00000000-0000-4000-8000-000000000006',
session_id: 'session-id',
} as unknown as SDKMessage,
resultMessage({ subtype: 'error_max_turns', is_error: true }),
]),
);
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
});
await expect(
runtime.runAgentLoop({
modelRole: 'default',
systemPrompt: 'system',
userPrompt: 'user',
toolSet: {
load_skill: {
name: 'load_skill',
description: 'Load skill.',
inputSchema: z.object({ name: z.string() }),
execute: async () => ({ markdown: 'loaded' }),
},
},
stepBudget: 1,
telemetryTags: { operationName: 'test' },
}),
feat(cli): profile ingest runs and split model vs tool time (#249) * feat(cli): profile ingest runs to find where wall-clock time goes Add opt-in profiling for `ktx ingest`. Each timed phase, work unit, and agent loop now records durationMs / step count / token usage in the trace, and a post-run aggregator rolls them up into a "where did the time go" report printed to stderr. Enable per run with KTX_PROFILE_INGEST (1/true -> human table, json -> raw structured profile) or persistently via `ingest.profile` in ktx.yaml. The json form emits raw milliseconds, token counts, and a summary.headline one-line diagnosis so coding agents can parse it directly; json wins when both env and config request profiling. - runtime-port: RunLoopMetrics (totalMs, usage, stepCount, stepBoundariesMs) plus onMetrics callbacks on text/object generation - ai-sdk + claude-code runtimes: capture per-loop timing and token usage - work-unit-executor and stages 3/4: thread metrics into trace events - ingest-bundle.runner: time worktree / triage / clustering / index / reconcile / squash phases and emit the profile in a finally block (best-effort; never affects the run outcome) - ingest-profile: new trace+transcript aggregator with table/json formatters - config: ingest.profile flag; docs: profiling section in ktx-ingest.mdx * fix(cli): flush tool-call logs before reading ingest profile Tool transcripts are appended fire-and-forget so the agent hot path never blocks on logging. The ingest profiler read them before the writes settled, so per-work-unit toolMs (and the model-vs-tool split derived from it) could be incomplete. Track in-flight appends and expose flushToolCallLogs() — bounded by a timeout so it can never hang — and flush before the profiler reads the transcript.
2026-06-01 15:49:17 +02:00
).resolves.toMatchObject({ stopReason: 'budget' });
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
const options = query.mock.calls[0][0].options;
expect(options.allowedTools).toEqual(['mcp__ktx__load_skill']);
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
expect(options.managedSettings).toEqual({
allowManagedMcpServersOnly: true,
allowedMcpServers: [{ serverName: 'ktx' }],
});
expect(options.strictMcpConfig).toBe(true);
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
expect(await options.canUseTool('mcp__ktx__load_skill', {}, { signal: new AbortController().signal, toolUseID: '1' })).toEqual({
behavior: 'allow',
toolUseID: '1',
});
expect(await options.canUseTool('Task', {}, { signal: new AbortController().signal, toolUseID: '2' })).toMatchObject({
behavior: 'deny',
toolUseID: '2',
});
expect(await options.canUseTool('Skill', {}, { signal: new AbortController().signal, toolUseID: '3' })).toMatchObject({
behavior: 'deny',
toolUseID: '3',
});
});
it('still rejects unexpected tools, missing KTX tools, plugins, and non-KTX MCP servers from init messages', async () => {
const query = vi.fn((_input: any) =>
stream([
initMessage({
tools: ['Bash'],
mcp_servers: [{ name: 'filesystem', status: 'connected' }],
plugins: [{ name: 'host-plugin', path: '/tmp/plugin' }],
}),
resultMessage({ result: 'hello' }),
]),
);
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
});
await expect(
runtime.generateText({
role: 'default',
prompt: 'say hello',
tools: {
load_skill: {
name: 'load_skill',
description: 'Load skill.',
inputSchema: z.object({ name: z.string() }),
execute: async () => ({ markdown: 'loaded' }),
},
},
}),
).rejects.toThrow(
/Claude Code runtime isolation failed: .*tools=Bash.*missing_tools=mcp__ktx__load_skill.*mcp_servers=filesystem.*plugins=host-plugin/,
);
});
it('passes scrubbed env to object generation and agent loops', async () => {
const schema = z.object({ answer: z.string() });
const objectQuery = vi.fn((_input: any) =>
fix(snowflake): unblock multi-schema ingest and relationship discovery (#204) * feat(setup): drop redundant Snowflake schema prompt; fall back to free-text on listSchemas failure Snowflake setup previously asked for a single schema as free text, then ran a multiselect against the discovered schemas — two schema questions back-to-back, with the first being only a session bootstrap. The SDK's `schema` is optional, so the bootstrap step is unnecessary. - Remove the free-text Snowflake schema prompt; only pass `schema` to snowflake-sdk when one is configured. - When `listSchemas()` fails (e.g. role lacks SHOW SCHEMAS), prompt the user for a comma-separated list, persist it as `schema_names`, and use it as both the table-list filter and the multiselect default. Applies to every driver with a scope-discovery spec, not just Snowflake. - Update docs to lead with `schema_names`; keep `schema_name` as a documented single-schema shorthand. * fix(snowflake): keep introspecting when primary-key discovery is denied The PK query joins INFORMATION_SCHEMA.TABLE_CONSTRAINTS and INFORMATION_SCHEMA.KEY_COLUMN_USAGE, which require grants the connection role may not have. Previously a 'SQL compilation error: Object ANALYTICS.INFORMATION_SCHEMA.KEY_COLUMN_USAGE does not exist or not authorized' aborted the entire introspect — schemas, columns, and row counts were all discarded over a missing nice-to-have. Wrap the constraint query in try/catch, log a one-line warning per schema, and return an empty PK map. Columns end up with primaryKey=false; relationship inference still has FK and profiling to fall back on. * fix(scan): unblock relationship discovery on Snowflake Two adjacent bugs prevented the scan's relationship pipeline from producing any joins on a Snowflake warehouse: - relationship-profiling.ts fell through to a default `GROUP_CONCAT` branch for unknown drivers. Snowflake has no GROUP_CONCAT, so every per-table profile query failed with "Unknown function GROUP_CONCAT". Add an explicit Snowflake branch that uses LISTAGG with a literal '\x1f' delimiter (Snowflake requires the delimiter to be a constant, so CHR(31) is rejected). - description-generation.ts destructured `connector.sampleTable` and `connector.sampleColumn` into bare locals, losing the `this` binding when the class-method connectors (Snowflake, Postgres, MySQL) were invoked. Every sample call threw "Cannot read properties of undefined (reading 'assertConnection')" and degraded LLM descriptions to metadata-only prompts. Call the methods through the connector instead. Without these, even after the primary-key probe is allowed to fail softly, the scan ends up with 0 validated relationships and an empty `joins:` block in every shard YAML. * test(scan): cover table-ref helpers * feat(scan): plumb tableScope through live-database introspection port * feat(scan): apply tableScope during metadata fetch * feat(scan): enforce table scope at fetch boundary * feat(scan): pool Snowflake sessions and batch enrichment for faster ingest (#206) * feat(cli): add RSA key-pair auth option to Snowflake setup wizard Extends the interactive Snowflake setup flow with an authentication-method prompt (password vs RSA/JWT key-pair). The RSA branch collects a private-key path (env/file/absolute) and an optional passphrase; the resulting connection config records `authMethod: 'rsa'` with `privateKey` and `passphrase` instead of `password`. * feat(scan): pool Snowflake sessions * fix(scan): reuse structural snapshots and cleanup connectors * feat(scan): parallelize relationship profiling * feat(scan): batch table description generation * docs: document Snowflake ingest concurrency knobs * fix(scan): close Snowflake ingest perf verification gaps * fix(scan): keep batched description failure bounded * feat(scan): dispatch query-history probes by connection driver Extract historic-sql dialect resolution into a shared helper so the status-project readiness check and the local ingest factory agree on which connections enable query history and which probe to run. The status command now picks the postgres/snowflake/bigquery probe based on the connection's driver instead of always reporting against postgres, which previously caused snowflake connections with queryHistory.enabled to surface a misleading "driver is snowflake" failure. Also drops a noisy console.warn from Snowflake primary-key discovery — INFORMATION_SCHEMA.KEY_COLUMN_USAGE is commonly ungranted for read-only roles and the FK + profiling paths handle the empty PK map already. * fix(llm): allow StructuredOutput tool and raise maxTurns for generateObject The Claude Code agent SDK announces an internal pseudo-tool named StructuredOutput in the system/init message whenever outputFormat is set to { type: 'json_schema' }. The runtime's isolation check built its allowedToolIds set only from MCP tool ids and treated StructuredOutput as an unexpected host-injected tool, so every generateObject call threw "Claude Code runtime isolation failed: tools=StructuredOutput ..." and the table-descriptions and relationship-LLM-proposal enrichment stages recorded null output across the board. Whitelist StructuredOutput specifically in generateObject's allowedToolIds — the check also enforces missing_tools symmetry, so generateText and runAgentLoop, which do not see StructuredOutput, must not require it. generateObject also ran with maxTurns: 1, which the model intermittently breached when it emitted thinking text before the structured response. Raised to 5 to give the schema-bound call enough headroom without allowing unbounded loops. The existing tests now exercise the path with an init message that announces StructuredOutput so the regression cannot slip back in. * chore(scripts): add ktx-reset.sh project-cleanup helper Convenience script for repeatable ingest testing: takes a project directory and prunes everything except ktx.yaml and .ktx/secrets/, so the next ktx setup or ktx ingest run starts from a known-clean state.
2026-05-23 10:41:30 +02:00
stream([
initMessage({ tools: ['StructuredOutput'] }),
resultMessage({ structured_output: { answer: 'yes' } }),
]),
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
);
const objectRuntime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query: objectQuery,
env: { ANTHROPIC_API_KEY: 'sk-ant-test', AWS_PROFILE: 'prod', PATH: '/usr/bin' }, // pragma: allowlist secret
});
await expect(objectRuntime.generateObject({ role: 'default', prompt: 'json', schema })).resolves.toEqual({
answer: 'yes',
});
expect(objectQuery.mock.calls[0][0].options.env).toEqual(expect.objectContaining({ PATH: '/usr/bin' }));
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
expect(objectQuery.mock.calls[0][0].options.managedSettings).toEqual({
allowManagedMcpServersOnly: true,
allowedMcpServers: [],
});
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
expect(objectQuery.mock.calls[0][0].options.env).not.toEqual(
expect.objectContaining({ ANTHROPIC_API_KEY: 'sk-ant-test', AWS_PROFILE: 'prod' }), // pragma: allowlist secret
);
const agentQuery = vi.fn((_input: any) =>
stream([
initMessage({ tools: ['mcp__ktx__load_skill'], mcp_servers: [{ name: 'ktx', status: 'connected' }] }),
{
type: 'assistant',
message: { role: 'assistant', content: [] },
parent_tool_use_id: null,
uuid: '00000000-0000-4000-8000-000000000004',
session_id: 'session-id',
} as unknown as SDKMessage,
resultMessage({ subtype: 'error_max_turns', is_error: true }),
]),
);
const agentRuntime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query: agentQuery,
env: { ANTHROPIC_AUTH_TOKEN: 'token', CLAUDE_CODE_USE_VERTEX: '1', HOME: '/Users/test' },
});
await agentRuntime.runAgentLoop({
modelRole: 'default',
systemPrompt: 'system',
userPrompt: 'user',
toolSet: {
load_skill: {
name: 'load_skill',
description: 'Load skill.',
inputSchema: z.object({ name: z.string() }),
execute: async () => ({ markdown: 'loaded' }),
},
},
stepBudget: 1,
telemetryTags: { operationName: 'test' },
});
expect(agentQuery.mock.calls[0][0].options.env).toEqual(expect.objectContaining({ HOME: '/Users/test' }));
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
expect(agentQuery.mock.calls[0][0].options.managedSettings).toEqual({
allowManagedMcpServersOnly: true,
allowedMcpServers: [{ serverName: 'ktx' }],
});
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
expect(agentQuery.mock.calls[0][0].options.env).not.toEqual(
expect.objectContaining({ ANTHROPIC_AUTH_TOKEN: 'token', CLAUDE_CODE_USE_VERTEX: '1' }),
);
});
it('counts only assistant turns the SDK counts toward num_turns', async () => {
const assistantMessage = (
overrides: Partial<Extract<SDKMessage, { type: 'assistant' }>> & { uuid: string },
): SDKMessage =>
({
type: 'assistant',
message: { role: 'assistant', content: [], stop_reason: 'end_turn' },
parent_tool_use_id: null,
session_id: 'session-id',
...overrides,
}) as unknown as SDKMessage;
const query = vi.fn((_input: any) =>
stream([
initMessage(),
assistantMessage({
uuid: '00000000-0000-4000-8000-0000000000a1',
error: 'max_output_tokens',
}),
assistantMessage({
uuid: '00000000-0000-4000-8000-0000000000a2',
message: { role: 'assistant', content: [], stop_reason: 'pause_turn' } as never,
}),
assistantMessage({ uuid: '00000000-0000-4000-8000-0000000000a3' }),
{
type: 'assistant',
message: { role: 'assistant', content: [], stop_reason: 'end_turn' },
parent_tool_use_id: 'tool-use-1',
uuid: '00000000-0000-4000-8000-0000000000a4',
session_id: 'session-id',
} as unknown as SDKMessage,
resultMessage({ subtype: 'success', terminal_reason: 'completed' }),
]),
);
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
});
const onStepFinish = vi.fn();
await expect(
runtime.runAgentLoop({
modelRole: 'default',
systemPrompt: 'system',
userPrompt: 'user',
toolSet: {},
stepBudget: 40,
telemetryTags: { operationName: 'test' },
onStepFinish,
}),
feat(cli): profile ingest runs and split model vs tool time (#249) * feat(cli): profile ingest runs to find where wall-clock time goes Add opt-in profiling for `ktx ingest`. Each timed phase, work unit, and agent loop now records durationMs / step count / token usage in the trace, and a post-run aggregator rolls them up into a "where did the time go" report printed to stderr. Enable per run with KTX_PROFILE_INGEST (1/true -> human table, json -> raw structured profile) or persistently via `ingest.profile` in ktx.yaml. The json form emits raw milliseconds, token counts, and a summary.headline one-line diagnosis so coding agents can parse it directly; json wins when both env and config request profiling. - runtime-port: RunLoopMetrics (totalMs, usage, stepCount, stepBoundariesMs) plus onMetrics callbacks on text/object generation - ai-sdk + claude-code runtimes: capture per-loop timing and token usage - work-unit-executor and stages 3/4: thread metrics into trace events - ingest-bundle.runner: time worktree / triage / clustering / index / reconcile / squash phases and emit the profile in a finally block (best-effort; never affects the run outcome) - ingest-profile: new trace+transcript aggregator with table/json formatters - config: ingest.profile flag; docs: profiling section in ktx-ingest.mdx * fix(cli): flush tool-call logs before reading ingest profile Tool transcripts are appended fire-and-forget so the agent hot path never blocks on logging. The ingest profiler read them before the writes settled, so per-work-unit toolMs (and the model-vs-tool split derived from it) could be incomplete. Track in-flight appends and expose flushToolCallLogs() — bounded by a timeout so it can never hang — and flush before the profiler reads the transcript.
2026-06-01 15:49:17 +02:00
).resolves.toMatchObject({ stopReason: 'natural' });
expect(onStepFinish).toHaveBeenCalledTimes(1);
expect(onStepFinish).toHaveBeenCalledWith({ stepIndex: 1, stepBudget: 40 });
});
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
it('logs and ignores onStepFinish callback errors', async () => {
const query = vi.fn((_input: any) =>
stream([
initMessage(),
{
type: 'assistant',
message: { role: 'assistant', content: [] },
parent_tool_use_id: null,
uuid: '00000000-0000-4000-8000-000000000005',
session_id: 'session-id',
} as unknown as SDKMessage,
resultMessage({ subtype: 'success', terminal_reason: 'completed' }),
]),
);
const logger = {
debug: vi.fn(),
log: vi.fn(),
warn: vi.fn(),
error: vi.fn(),
};
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
logger,
});
await expect(
runtime.runAgentLoop({
modelRole: 'default',
systemPrompt: 'system',
userPrompt: 'user',
toolSet: {},
stepBudget: 1,
telemetryTags: { operationName: 'test' },
onStepFinish: async () => {
throw new Error('callback exploded');
},
}),
feat(cli): profile ingest runs and split model vs tool time (#249) * feat(cli): profile ingest runs to find where wall-clock time goes Add opt-in profiling for `ktx ingest`. Each timed phase, work unit, and agent loop now records durationMs / step count / token usage in the trace, and a post-run aggregator rolls them up into a "where did the time go" report printed to stderr. Enable per run with KTX_PROFILE_INGEST (1/true -> human table, json -> raw structured profile) or persistently via `ingest.profile` in ktx.yaml. The json form emits raw milliseconds, token counts, and a summary.headline one-line diagnosis so coding agents can parse it directly; json wins when both env and config request profiling. - runtime-port: RunLoopMetrics (totalMs, usage, stepCount, stepBoundariesMs) plus onMetrics callbacks on text/object generation - ai-sdk + claude-code runtimes: capture per-loop timing and token usage - work-unit-executor and stages 3/4: thread metrics into trace events - ingest-bundle.runner: time worktree / triage / clustering / index / reconcile / squash phases and emit the profile in a finally block (best-effort; never affects the run outcome) - ingest-profile: new trace+transcript aggregator with table/json formatters - config: ingest.profile flag; docs: profiling section in ktx-ingest.mdx * fix(cli): flush tool-call logs before reading ingest profile Tool transcripts are appended fire-and-forget so the agent hot path never blocks on logging. The ingest profiler read them before the writes settled, so per-work-unit toolMs (and the model-vs-tool split derived from it) could be incomplete. Track in-flight appends and expose flushToolCallLogs() — bounded by a timeout so it can never hang — and flush before the profiler reads the transcript.
2026-06-01 15:49:17 +02:00
).resolves.toMatchObject({ stopReason: 'natural' });
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
expect(logger.warn).toHaveBeenCalledWith(expect.stringContaining('callback exploded'));
});
it('maps max-turn terminal reasons to budget', () => {
expect(mapClaudeCodeStopReason(resultMessage({ subtype: 'error_max_turns' }))).toBe('budget');
expect(mapClaudeCodeStopReason(resultMessage({ terminal_reason: 'max_turns' }))).toBe('budget');
expect(mapClaudeCodeStopReason(resultMessage({ stop_reason: 'max_turns' }))).toBe('budget');
expect(mapClaudeCodeStopReason(resultMessage({ subtype: 'success', terminal_reason: 'completed' }))).toBe('natural');
expect(mapClaudeCodeStopReason(resultMessage({ subtype: 'error_during_execution' }))).toBe('error');
});
feat(cli): profile ingest runs and split model vs tool time (#249) * feat(cli): profile ingest runs to find where wall-clock time goes Add opt-in profiling for `ktx ingest`. Each timed phase, work unit, and agent loop now records durationMs / step count / token usage in the trace, and a post-run aggregator rolls them up into a "where did the time go" report printed to stderr. Enable per run with KTX_PROFILE_INGEST (1/true -> human table, json -> raw structured profile) or persistently via `ingest.profile` in ktx.yaml. The json form emits raw milliseconds, token counts, and a summary.headline one-line diagnosis so coding agents can parse it directly; json wins when both env and config request profiling. - runtime-port: RunLoopMetrics (totalMs, usage, stepCount, stepBoundariesMs) plus onMetrics callbacks on text/object generation - ai-sdk + claude-code runtimes: capture per-loop timing and token usage - work-unit-executor and stages 3/4: thread metrics into trace events - ingest-bundle.runner: time worktree / triage / clustering / index / reconcile / squash phases and emit the profile in a finally block (best-effort; never affects the run outcome) - ingest-profile: new trace+transcript aggregator with table/json formatters - config: ingest.profile flag; docs: profiling section in ktx-ingest.mdx * fix(cli): flush tool-call logs before reading ingest profile Tool transcripts are appended fire-and-forget so the agent hot path never blocks on logging. The ingest profiler read them before the writes settled, so per-work-unit toolMs (and the model-vs-tool split derived from it) could be incomplete. Track in-flight appends and expose flushToolCallLogs() — bounded by a timeout so it can never hang — and flush before the profiler reads the transcript.
2026-06-01 15:49:17 +02:00
it('returns loop metrics including step count and mapped token usage', async () => {
const query = vi.fn((_input: any) =>
stream([
initMessage(),
{
type: 'assistant',
message: { role: 'assistant', content: [] },
parent_tool_use_id: null,
uuid: '00000000-0000-4000-8000-000000000006',
session_id: 'session-id',
} as unknown as SDKMessage,
resultMessage({
subtype: 'success',
terminal_reason: 'completed',
usage: { input_tokens: 50, output_tokens: 10 } as never,
}),
]),
);
const runtime = new ClaudeCodeKtxLlmRuntime({
projectDir: '/tmp/project',
modelSlots: { default: 'sonnet' },
query,
env: {},
});
const result = await runtime.runAgentLoop({
modelRole: 'default',
systemPrompt: 'system',
userPrompt: 'user',
toolSet: {},
stepBudget: 40,
telemetryTags: { operationName: 'test' },
});
expect(result.metrics?.stepCount).toBe(1);
expect(result.metrics?.stepBoundariesMs).toHaveLength(1);
expect(result.metrics?.usage).toEqual({ inputTokens: 50, outputTokens: 10, totalTokens: 60 });
});
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
it('auth probe uses isolation options and a scrubbed env', async () => {
const query = vi.fn((_input: any) => stream([initMessage(), resultMessage({ result: 'ok' })]));
await expect(
runClaudeCodeAuthProbe({ projectDir: '/tmp/project', model: 'sonnet', query, env: { ANTHROPIC_API_KEY: 'sk-ant-test' } }), // pragma: allowlist secret
).resolves.toEqual({ ok: true });
expect(query.mock.calls[0][0].options).toMatchObject({
settingSources: [],
skills: [],
plugins: [],
tools: [],
feat(ingest): default local ingest to isolated diffs (#128) * docs: add isolated-diff ingestion design * Refine isolated-diff ingestion design after adversarial review iteration 1 * Refine isolated-diff ingestion design after adversarial review iteration 2 * Refine isolated-diff ingestion design after adversarial review iteration 3 * feat: persist ingest trace events * feat: add isolated ingest patch helpers * feat: validate wiki body semantic references * feat: add final ingest artifact gates * feat: execute ingest work units in child worktrees * feat: integrate isolated work unit patches * feat: route selected ingest sources through isolated diffs * test: cover isolated diff ingestion regressions * feat: add isolated diff ingestion v1 core * docs: document ingest trace inspection * docs: add isolated diff ingestion v1 core plan * fix(ingest): tighten final artifact gates * fix(ingest): gate isolated final integration tree * fix(ingest): persist postmortem failure traces * fix(ingest): trace policy conflicts and cleanup child worktrees * test(ingest): verify isolated diff postmortem coverage * docs: add isolated diff ingestion gates and trace closure plan * fix(ingest): gate provenance before isolated diff squash * docs: add isolated diff ingestion provenance gate closure plan * fix(ingest): gate final wiki references * fix(ingest): enforce SL target connection scope * fix(ingest): trace isolated SL target policy gates * test(ingest): cover isolated diff reference and target gates * chore(ingest): verify isolated diff gate closure * docs: add isolated diff ingestion reference and target gate closure plan * fix(ingest): gate global wiki references * docs: add isolated diff ingestion global wiki reference gate closure plan * fix(ingest): validate scan sources and wiki refs * test(ingest): cover isolated diff textual conflict resolver * test(ingest): cover isolated diff resolver integration * feat(ingest): repair isolated diff textual conflicts * feat(ingest): report isolated diff resolver outcomes * test(ingest): verify isolated diff textual conflict repair * test(ingest): align textual conflict failure coverage * docs: add isolated diff textual conflict resolver plan * test(ingest): cover isolated diff gate repair * feat(ingest): add isolated diff gate repair agent * feat(ingest): repair isolated diff semantic gate failures * feat(ingest): wire isolated diff gate repair * test(ingest): verify isolated diff final gate repair * chore(ingest): verify isolated diff gate repair * docs: add isolated diff gate repair plan * Improve ingest progress updates * feat(ingest): route direct-write connectors through isolated diffs * test(ingest): cover non-metabase isolated diff routing * feat(ingest): project metricflow semantic models before work units * test(ingest): verify metricflow isolated projection path * chore(ingest): verify isolated diff connector migration * docs: add isolated diff connector migration plan * feat(ingest): make isolated diff routing the private default * feat(ingest): promote isolated diff to default runner path * feat(ingest): default local ingest to isolated diffs * chore(ingest): remove isolated diff allowlist references * fix(ingest): preserve transient evidence for isolated work units * docs: add isolated diff default promotion plan * refactor(ingest): remove shared worktree WorkUnit path * docs(ingest): align WorkUnit prompts with isolated diffs * test(ingest): drop unused runner import * docs: add isolated diff shared worktree removal plan * docs: add isolated diff gate repair classification plan * fix: restrict claude-code mcp servers * docs: align ingest trace guidance with public CLI --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-18 13:38:06 +02:00
managedSettings: {
allowManagedMcpServersOnly: true,
allowedMcpServers: [],
},
strictMcpConfig: true,
feat: add claude-code llm backend with runtime port (#115) * docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
2026-05-16 12:06:34 +02:00
allowedTools: [],
persistSession: false,
env: expect.not.objectContaining({ ANTHROPIC_API_KEY: 'sk-ant-test' }),
});
});
it('reports unsupported Claude Code models without framing them as auth failures', async () => {
await expect(
runClaudeCodeAuthProbe({
projectDir: '/tmp/project',
model: 'gpt-5',
query: vi.fn(),
env: {},
}),
).resolves.toEqual({
ok: false,
message: 'Unsupported Claude Code model "gpt-5". Use sonnet, opus, haiku, or a claude-* model id.',
});
});
});