Dashboard › sentry › Session sbcf5980dfc3
sbcf5980dfc35aed0I've seen some "WARN" messages in logs regarding workers not having api keys or auth. Can you check this and see if they are errors using journalctl -u opencode?
If this is the case, I suspect a lack of distillation and curaiton on non-anthropic models which is concerning. You can probably validate/verify this bu checking the lore db directly for recent sessions and their distillations/curations.
No plan file exists yet. You should create your plan at /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/.opencode/plans/1780868002004-proud-lagoon.md using the write tool. You should build your plan incrementally by writing to or editing this file. NOTE that this is the only file you are allowed to edit - other than this you are only allowed to take READ-ONLY actions.
Goal: Gain a comprehensive understanding of the user's request by reading through code and asking them questions. Critical: In this phase you should only use the explore subagent type.
Focus on understanding the user's request and the code associated with their request
Launch up to 3 explore agents IN PARALLEL (single message, multiple tool calls) to efficiently explore the codebase.
The user is asking me to investigate potential issues with the Lore system regarding:
I'm in plan mode, so I need to:
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/.opencode/plans/1780868002004-proud-lagoon.mdLet me start by exploring the codebase to understand:
Let me launch explore agents in parallel to investigate these areas.
task_id: ses_15bfe8818ffecgLZ5PfDsMr4tQ (for resuming to continue this task if needed)
<task_result>
I have completed a thorough investigation of the Lore codebase. Here is my comprehensive report:
---
# Lore WARN Log Investigation: Worker Missing API Keys / Auth
## 1. Primary Auth-Related WARN Source
**Single, definitive warning emitter:**
**File:** `packages/gateway/src/llm-adapter.ts:404`
```typescript
if (!cred) {
log.warn("no auth credentials available for worker call");
return null;
}
```
This is the only `log.warn(...)` call in the worker LLM call path that fires on a missing credential. It is emitted from inside `createGatewayLLMClient()`'s returned `prompt()` method, which is the unified LLM client used by all background workers (distillation, curator, consolidation, compaction, batch queue, import).
---
## 2. Code Flow That Triggers the Warning
### A. ...
task_id: ses_15bfe5e96ffe3HnJwaCbk2Dj6W (for resuming to continue this task if needed) <task_result> I have a complete picture now. Let me write up the final report. --- # Investigation Report: Lore Distillation & Curation Across Model Providers ## TL;DR (Conclusion) **The user's premise is wrong on two counts, but the question is still answerable with interesting findings:** 1. **There is no `sessions` table** and **no `curator_runs` table** in the schema. The closest equivalents are `session_state` (no model/provider columns) and `last_curated_at` in `session_state` plus `knowledge.created_at`. Model/provider information is captured in `temporal_messages.metadata` as a JSON blob. 2. **Coverage-wise, non-Anthropic sessions ARE being distilled and curated.** MiniMax, OpenAI (gpt-5.5), DeepSeek, NVIDIA (nemotron), and Alibaba (qwen) sessions all show distillation rows and knowledge entries in the DB. 3. ...
task_id: ses_15bfe339fffeV0fmdHHg5wn154 (for resuming to continue this task if needed)
<task_result>
# Lore Distillation & Curator: Model/Provider Selection and API-Key Resolution
All paths below are absolute. Line numbers refer to the source on this branch.
---
## 1. `packages/core/src/distillation.ts` end-to-end
### 1a. LLM call function
The core itself never calls HTTP. It takes an injected `LLMClient` and calls `client.prompt(system, user, opts)`:
- Entry: `distillation.run()` — `distillation.ts:813–828`. Accepts `{ llm: LLMClient, projectPath, sessionID, model?, … }`. Serialized per session via `distillLimiter` (`distillation.ts:827`).
- Inner: `runInner()` — `distillation.ts:830–942`. Loops up to 3 rounds, splits messages via `detectSegments()`, then calls `distillSegment()` per segment and `metaDistillInner()` when `gen0Count >= effectiveMetaThreshold`.
- Segment distillation: `distillSegment()` — `distillation.ts:944–1182`. Resolves model at **`distillation.ts:991`**:
...
Now I have a very comprehensive picture. Let me also check journalctl -u opencode to see if those warnings are actually appearing in the opencode service logs (as opposed to just the lore gateway logs). I should run that command to validate the user's hypothesis. I also want to do a final cross-check by looking at the live state right now.
Let me run:
journalctl -u opencode to see if the WARNs are in opencode service logs (and the user's specific question)Then write the plan file. I'm in plan mode so I can only use read-only operations and write to the plan file.
Let me check the journalctl logs and run a recent-window DB query.
I have enough context from the explore agents. Let me verify the user's specific journalctl -u opencode question and do a targeted "recent window" DB check before writing the plan.
Jun 06 21:44:54 labs opencode[439672]: [lore] upstream: https://opencode.ai/zen (provider=opencode, providerURL=https://opencode.ai/zen, modelRoute=https://api.deepseek.com, headerUpstream=yes, protocol=openai, auth=bearer:public…) Jun 06 21:44:57 labs opencode[439672]: [lore] WARN: cache-analytics: session=1VUGO9QJ1XZIaOkW dramatic hit rate drop: 100% → 29% (read 51584→40320) divergence="messages[2].content" Jun 06 21:44:59 labs opencode[439672]: [lore] upstream: https://integrate.api.nvidia.com (provider=nvidia, providerURL=https://integrate.api.nvidia.com, modelRoute=none, headerUpstream=yes, protocol=openai, auth=bearer:nvapi-TC…) Jun 06 21:45:08 labs opencode[439672]: [lore] WARN: cache-analytics: session=0jB9c8durDstlP1J dramatic hit rate drop: 100% → 2% (read 1808→1808) divergence="messages[0].content" Jun 06 21:45:10 labs opencode[439672]: [lore] upstream: https://opencode.ai/zen (provider=opencode, providerURL=https://opencode.ai/zen, modelRoute=https://api.deepseek.com, ...
Jun 04 12:37:12 labs opencode[1891597]: [lore] WARN: compaction anomaly: session=0W97KcezTKOh3B8a messages dropped 843→127. Client may have compacted outside gateway control. Jun 04 12:37:12 labs opencode[1891597]: [lore] WARN: compaction anomaly: session=0W97KcezTKOh3B8a messages dropped 127→55. Client may have compacted outside gateway control. Jun 04 12:37:18 labs opencode[1891597]: [lore] WARN: cache-analytics: session=0W97KcezTKOh3B8a dramatic hit rate drop: 100% → 26% (read 140398→26614) divergence="model" Jun 04 12:37:20 labs opencode[1891597]: [lore] WARN: compaction anomaly: session=0W97KcezTKOh3B8a messages dropped 171→57. Client may have compacted outside gateway control. Jun 04 12:37:28 labs opencode[1891597]: [lore] WARN: compaction anomaly: session=0W97KcezTKOh3B8a messages dropped 845→59. Client may have compacted outside gateway control. ...
-rw-r--r-- 1 byk byk 1684854 Jun 7 21:44 /home/byk/.local/share/lore/lore.log -rw-r--r-- 1 byk byk 5316932 Jun 7 13:31 /home/byk/.local/share/lore/lore.log.1
(no output)
Excellent — I now have everything I need. Let me also check the lore.log file for the actual "no auth credentials" warning the user is asking about, and do one more focused check on the recent DB query (which returned no output — let me retry with a simpler query).
7376:2026-06-07T19:33:46.303Z [WARN ] worker protocol mismatch: anthropic target with non-Anthropic API key — skipping (model=claude-sonnet-4-6, worker=lore-query-expand) 8136:2026-06-07T20:16:34.958Z [WARN ] no auth credentials available for worker call 8139:2026-06-07T20:16:35.066Z [WARN ] no auth credentials available for worker call 8142:2026-06-07T20:16:35.186Z [WARN ] no auth credentials available for worker call 8145:2026-06-07T20:16:35.290Z [WARN ] no auth credentials available for worker call 8148:2026-06-07T20:16:35.395Z [WARN ] no auth credentials available for worker call 8151:2026-06-07T20:16:35.502Z [WARN ] no auth credentials available for worker call 8154:2026-06-07T20:16:35.626Z [WARN ] no auth credentials available for worker call 8157:2026-06-07T20:16:35.746Z [WARN ] no auth credentials available for worker call 8160:2026-06-07T20:16:35.856Z [WARN ] no auth credentials available for worker call 8163:2026-06-07T20:16:35.982Z [WARN ] no auth credentials available for ...
/home/byk/.local/share/lore/lore.log:21 /home/byk/.local/share/lore/lore.log.1:43
recent_sessions_7d|1936 recent_sessions_24h|1936 recent_distillations_7d|5826 recent_distillations_24h|5826 recent_knowledge_7d|234 recent_knowledge_24h|234
Other|1936|20909
Hmm, the per-provider breakdown is grouping everything as "Other" because the recent activity seems to be all in one big batch (likely the warmup/sync of older data). The recent_sessions_24h == recent_sessions_7d == 1936 with all 20909 zero-distill messages classified as "Other" tells me that these "recent" messages are actually older sessions being backfilled — the created_at of the temporal_messages might not match the actual conversation time. Let me re-verify by looking at the metadata structure.
Actually wait — this is suspicious. 1936 sessions in 7 days with 20909 "zero distill" entries means most of these sessions don't have distillations. But the previous explore agent found that distillations DO exist for most non-Anthropic models. This means the created_at filter is catching sessions that have NO distillations because they're sessions where distillation wasn't yet triggered.
Let me look at this more carefully. ...
2026-06-07T20:16:34.957Z [INFO ] instruction-detect: 1 repeated instruction(s) found across sessions 2026-06-07T20:16:34.958Z [WARN ] no auth credentials available for worker call -- 2026-06-07T20:16:35.062Z [INFO ] instruction-detect: 1 repeated instruction(s) found across sessions 2026-06-07T20:16:35.066Z [WARN ] no auth credentials available for worker call -- 2026-06-07T20:16:35.185Z [INFO ] instruction-detect: 1 repeated instruction(s) found across sessions 2026-06-07T20:16:35.186Z [WARN ] no auth credentials available for worker call -- 2026-06-07T20:16:35.286Z [INFO ] instruction-detect: 1 repeated instruction(s) found across sessions 2026-06-07T20:16:35.290Z [WARN ] no auth credentials available for worker call -- 2026-06-07T20:16:35.394Z [INFO ] instruction-detect: 1 repeated instruction(s) found across sessions 2026-06-07T20:16:35.395Z [WARN ] no auth credentials available for worker call -- 2026-06-07T20:16:35.500Z [INFO ] instruction-detect: 1 repeated instruction(s) found ...
||gateway||55685 claude-opus-4-6|anthropic||build|46357 claude-opus-4-6|anthropic||gateway|35430 claude-opus-4-7|anthropic||build|17314 claude-opus-4-6|anthropic||plan|13550 claude-sonnet-4-6|anthropic||build|8055 claude-opus-4-8|anthropic||gateway|3961 ||build||3286 MiniMax-M3|anthropic||gateway|1691 ||plan||1305 claude-opus-4-7|anthropic||plan|1234 claude-haiku-4-5-20251001|anthropic||gateway|343 claude-opus-4-6|anthropic||nuum-distill|336 deepseek-v4-flash|anthropic||gateway|273 minimaxai/minimax-m2.7|anthropic||gateway|237 claude-sonnet-4-6|anthropic||nuum-distill|232 claude-sonnet-4-6|anthropic||gateway|177 claude-opus-4-7|anthropic||gateway|176 gpt-5.5-2026-04-23|anthropic||gateway|102 ||nuum-distill||65
||190233
||60347
Excellent — this confirms the picture precisely. The created_at column in temporal_messages is NULL (which is why all my unixepoch queries return nothing — 190233 rows but 0 in the model breakdown). The metadata timestamps are stale/null. So the per-provider query in the previous explore agent was using a different field or had luck with non-null created_at.
The auth warnings are happening RIGHT NOW in this session. The timestamps 2026-06-07T20:16:34.957Z to 2026-06-07T20:19:02.064Z are all during the past hour. The instruction-detect and pinned user assertion log lines confirm these are triggered by the lore recall / search / session analysis workflows.
But critically: the gateway IS running (I see cache-analytics warnings in journalctl at 21:44-21:47), and the lastSeenAuth is being populated successfully. So why is the worker call returning "no auth credentials"? ...
I have all the data I need. Writing the plan file now.
Wrote file successfully.
The plan is written. Now I should call plan_exit to indicate I'm done planning.
Great analysis. I remember keep saying "the workers and warmup requests should ALWAYS use the session's provider, URL, credentials. They should use the cheapest model comparable to sonnet-4-6 from that provider or the same session model by default". So we should evolve our architecture to this. Setting worker model etc env variabler in systemd are not real solutions to this systemic issue
The user is giving me a clear architectural directive:
"the workers and warmup requests should ALWAYS use the session's provider, URL, credentials. They should use the cheapest model comparable to sonnet-4-6 from that provider or the same session model by default"
This is a fundamental architecture decision. They want workers to be session-provider-native, not bypass auth via LORE_WORKER_API_KEY. The session's lastUpstream already has URL + protocol, and the credential is already in sessionAuth per provider. So why is the worker using Anthropic by default instead of the session's provider?
Looking at what I found in the explore:
pipeline.ts:946–960 — the gateway already wraps the LLM client to thread sessionState.lastUpstream.{url,protocol} into every worker call. So URL+protocol ARE being threaded.worker-model.ts:437–520 — getWorkerModel() is where the model is selected. It's hardcoded to Anthropic defaults via WORKER_DEFAULTS.pipeline.ts:909–914 — ...The user's directive is clear and is a much better architecture than the current default-to-Anthropic approach. Let me design this properly before writing the plan.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/worker-model.ts</path>
<type>file</type>
<content>
280: return null;
281: }
282:
283: /**
284: * Look up model data by ID, with prefix matching and fallback.
285: *
286: * First tries exact match, then prefix match (e.g. "claude-opus-4-6-20260101"
287: * matches "claude-opus-4-6"), then falls back to hardcoded defaults.
288: */
289: export async function getModelEntry(modelID: string): Promise<ModelsDevEntry> {
290: const data = await fetchModelData();
291:
292: // Exact match
293: const exact = data.get(modelID);
294: if (exact) return exact;
295:
296: // Prefix match: find the entry whose ID is a prefix of the requested model
297: for (const [id, entry] of data) {
298: if (modelID.startsWith(id)) return entry;
299: }
300:
301: // Reverse prefix: find if the requested model is a prefix of any entry
302: for (const [id, entry] of ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
880: // The headerSessionIndex entries are keyed by header values pointing
881: // TO this sessionID — remove them too.
882: for (const [key, sid] of headerSessionIndex) {
883: if (sid === sessionID) headerSessionIndex.delete(key);
884: }
885: ltmSessionCache.delete(sessionID);
886: ltmPinnedText.delete(sessionID);
887: stableLtmCache.delete(sessionID);
888: cwdWarned.delete(sessionID);
889: },
890: );
891: }
892:
893: log.info(`gateway pipeline initialized: ${projectPath}`);
894: }
895:
896: function getLLMClient(config: GatewayConfig): LLMClient {
897: if (!llmClient) {
898: const cfg = loreConfig();
899: const defaultModel = cfg.model ?? ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
380: * Create an LLMClient that sends single-turn prompts to the appropriate provider.
381: *
382: * Routes to Anthropic Messages API or OpenAI Chat Completions API based on
383: * the resolved wire protocol (explicit `opts.protocol` from the session's
384: * UpstreamSnapshot, then provider route table, then default "anthropic").
385: * Retry logic, Sentry instrumentation, and error handling are shared across
386: * both protocols.
387: *
388: * @param upstreams Base URLs for each provider
389: * @param getAuth Callback to resolve auth credentials (per-session → global fallback)
390: * @param defaultModel Default model to use when no override is specified
391: */
392: export function createGatewayLLMClient(
393: upstreams: { anthropic: string; openai: string },
394: getAuth: (sessionID?: ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/cache-warmer.ts</path>
<type>file</type>
<content>
1320: * and sends it to the upstream provider.
1321: *
1322: * Returns the result for circuit breaker checking and metrics.
1323: */
1324: export async function executeWarmup(
1325: state: SessionState,
1326: profile: CacheWarmingProfile,
1327: ): Promise<WarmupResult> {
1328: const noResult: WarmupResult = {
1329: ok: false,
1330: cacheReadTokens: 0,
1331: cacheCreationTokens: 0,
1332: };
1333:
1334: const { lastRequestBody } = state.cacheAnalytics;
1335: if (!lastRequestBody) return noResult;
1336:
1337: // Decompress the stored body
1338: const storedBody = decompressBody(lastRequestBody);
1339:
1340: // Prepare for warmup (max_tokens:0, strip incompatible fields)
1341: const warmupBody = profile.prepareWarmupBody(storedBody);
1342:
1343: // Resolve auth for this session — ...
Please address this message and continue with your tasks. </system-reminder>
The user is making an important point: if distillation/curation is silently skipped, the context management is broken, and lore becomes actively harmful (the model never gets the distilled context, the cache fills up, the user pays for un-managed context).
This is a great point. The current behavior is "silent skip with a warn" which means:
lore.log which most people never readThe user is asking: shouldn't this be a hard error and reported to Sentry?
Yes, this is correct. The current "silent skip" design is wrong for this reason. Let me think about the right design:
You're absolutely right — silent skip is actively harmful because the user pays for the un-managed context window and gets a degraded experience. Let me design both changes together since they're tightly coupled.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/worker-model.ts</path>
<type>file</type>
<content>
1: /**
2: * Gateway model pricing and resolution.
3: *
4: * Fetches per-model pricing from models.dev (open-source model database)
5: * for cost estimation in Sentry metrics and gradient cost-aware capping.
6: *
7: * Worker model resolution delegates to core's simple chain:
8: * explicit config override > session model fallback.
9: */
10:
11: import { workerModel, config as loreConfig, log } from "@loreai/core";
12: import type { ProviderRoute } from "./config";
13: import { upstreamFetch } from "./fetch";
14:
15: // ---------------------------------------------------------------------------
16: // Cost lookup — models.dev
17: // ---------------------------------------------------------------------------
18:
19: /**
20: * models.dev JSON API endpoint — returns all providers/models with pricing. ...
Found 1 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/worker-model.ts: Line 40: export function resolveWorkerModel(
Found 16 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
Line 154: isAuthStale,
Line 3045: if (isAuthStale(sessionID) && !resolveAuth(sessionID)) return;
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts:
Line 26: import { authHeaders, markAuthStale } from "./auth";
Line 590: markAuthStale(opts.sessionID);
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/idle.ts:
Line 54: isAuthStale,
Line 144: if (isAuthStale(sessionID) && !resolveAuth(sessionID)) continue;
Line 167: if (isAuthStale(sessionID)) continue;
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/cache-warmer.ts:
Line 40: import { resolveAuth, authHeaders, markAuthStale } from ...
Good. Now I have all the context I need. Let me also check the core/src/worker-model.ts resolveWorkerModel function to understand the resolution logic.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/worker-model.ts</path> <type>file</type> <content> 1: /** 2: * Worker model resolution. 3: * 4: * Background workers (distillation, curation, query expansion) default to 5: * sonnet-4-6 when the session model is more expensive ($1.50+/M input). 6: * Sonnet-4-6 produces equivalent-quality distillations at lower cost. 7: * An explicit `workerModel` config override takes priority over this default. 8: * 9: * Resolution order: 10: * 1. Explicit config override (`workerModel`) 11: * 2. Cost-aware default (sonnet-4 for expensive session models) 12: * 3. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/auth.ts</path>
<type>file</type>
<content>
150: * process restart, the first client request provides fresh credentials.
151: * Cleared automatically when `setSessionAuth()` stores a new credential.
152: */
153: const staleSessionAuth = new Set<string>();
154:
155: /** Mark a session's credential as stale (401/403 received). */
156: export function markAuthStale(sessionID: string): void {
157: staleSessionAuth.add(sessionID);
158: }
159:
160: /** Check if a session's credential is marked stale. */
161: export function isAuthStale(sessionID: string): boolean {
162: return staleSessionAuth.has(sessionID);
163: }
164:
165: /** Clear staleness for a session (fresh credential arrived). */
166: export function clearAuthStale(sessionID: string): void {
167: staleSessionAuth.delete(sessionID);
168: }
169:
170: // ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/idle.ts</path>
<type>file</type>
<content>
120: /** Optional callback to clean up pipeline-level satellite Maps when a session is evicted. */
121: onEvict?: (sessionID: string) => void,
122: ): () => void {
123: const inProgress = new Set<string>();
124: const warmupInProgress = new Set<string>();
125:
126: const timer = setInterval(() => {
127: const now = Date.now();
128: const timeoutMs = config.idleTimeoutSeconds * 1000;
129:
130: // --- Idle work (distillation, curation, etc.) ---
131: for (const [sessionID, state] of sessions) {
132: if (inProgress.has(sessionID)) continue;
133: if (now - state.lastRequestTime < timeoutMs) continue;
134:
135: // Skip idle work when the agent is executing a tool — the session
136: // is still active, not genuinely idle. ...
OK I have all the context. Now I have a very clear picture. Let me write a comprehensive plan that addresses both:
Architecture: Workers + warmup always use session's provider/URL/credentials. Worker model = cheapest equivalent on that provider OR session model.
Visibility: When workers skip due to auth (or any other failure that affects context management), this is harmful. Should be escalated to a hard error + Sentry report + user-visible.
The current code paths to fix:
worker-model.ts:437-520 — getWorkerModel() has a fallback chain that defaults to Anthropic. Need to change so:
cfg.workerModel/LORE_WORKER_MODEL overridellm-adapter.ts:403-406 — Silent skip on no cred. Need to escalate based on failure countcache-warmer.ts:1346-1350 — Silent skip on no cred. ...Wrote file successfully.
Plan is written. Now I should call plan_exit.
LORE_WORKER_* env variables are overrides when they are set. What I was saying was using that to fix this problem was not a real solution.
Btw check your plan against the latest version of the repo in case there are some fixes already in place for this.
Finally, make sure we record the source of the distillation and knowledge entries correctly. Are simply writing/assuming anthropic as the source while we actually use the correct models?
The user has three points to address:
LORE_WORKER_ env vars*: User clarifies they ARE overrides (which I had right in the plan). The complaint was about using them as a fix for the systemic issue. I correctly identified this in the plan ("LORE_WORKER_API_KEY and LORE_WORKER_UPSTREAM paths are demoted to true overrides for emergency routing"). Good.
Check plan against latest version of the repo: I need to see if there are any fixes already in place. The user is implying that maybe some of what I'm proposing is already done. Let me check the current state of worker-model.ts and related files.
Source attribution for distillation/knowledge entries: Are we correctly recording the source model/provider? The user is asking whether metadata is being correctly written when distillation/curation happens on a non-Anthropic model.
Let me investigate points 2 and 3. ...
Error: There is no jj repo in "."
Error: There is no jj repo in "."
Error: There is no jj repo in "."
Not a jj repo, let me try git.
dc6de76 ci: add actionlint to catch workflow YAML errors (#612) 8ac9c21 fix(ci): remove empty `with:` from pnpm/action-setup in eval.yml (#610) 7ccc536 test(ci): quiet test harness noise + pretest hook for bundle (#608) b79acad fix(gateway): polyfill getSystemErrorMap for Bun to prevent Sentry SDK crash (#602) 48770f2 fix(core): recognize WASM fatal error wrapper prefix in isWasmFatalError() (#604) f610388 fix(gateway): guard resp.usage accesses against undefined for vLLM/partial responses (#600) 122690b fix(gateway): handle SSE response from upstream when stream: false was sent (#605) 57893c5 fix(core): guard against postMessage on terminated embedding worker (#603) 932b1b9 fix(site): grain z-index, blog footer, CWD-relative fs read fd05371 fix(entities): filter dismissed pairs from dashboard dedup suggestions (#598)
On branch main Your branch is up to date with 'origin/main'. Untracked files: (use "git add <file>..." to include in what will be committed) bun.lock nothing added to commit but untracked files present (use "git add" to track)
dc6de76 ci: add actionlint to catch workflow YAML errors (#612) bc5835f refactor(gateway): use static import for fossilize at module level 497862f fix(gateway): remove cache fields from ZERO_USAGE and consolidate SSE extraction 8cecd9b ci: add actionlint to catch workflow YAML errors df19b01 fix(gateway): bump fossilize to ^0.9.0 for programmatic API 8ac9c21 fix(ci): remove empty `with:` from pnpm/action-setup in eval.yml (#610) d9b5e7d fix(ci): remove empty `with:` from pnpm/action-setup in eval.yml 7ccc536 test(ci): quiet test harness noise + pretest hook for bundle (#608) 0613c6b fix(gateway): use fossilize programmatic API instead of impl-* glob dance b01e91d test(ci): quiet test harness noise + pretest hook for bundle b79acad fix(gateway): polyfill getSystemErrorMap for Bun to prevent Sentry SDK crash (#602) 48770f2 fix(core): recognize WASM fatal error wrapper prefix in isWasmFatalError() (#604) f610388 fix(gateway): guard resp.usage accesses against undefined for vLLM/partial ...
Recent commits show fixes but nothing about worker model selection or source attribution. Let me check the current state of:
worker-model.ts - might be different from what I saw earlier (the file I read was 525 lines, but I want to confirm)The user is asking me to:
Let me also recall — the user said "make sure we record the source of the distillation and knowledge entries correctly. Are simply writing/assuming anthropic as the source while we actually use the correct models?" — this is a really important question. If we're using MiniMax-M3 to do the distillation but recording the source as "anthropic", that's a data integrity bug.
Let me check:
db.ts schema for distillations and knowledge tablesfe87f59 fix(gateway): enforce same-provider worker routing — never cross-provider (#588) 4109fdb fix(gateway): remove protocolToProviderID and use exact provider ID matching for workers (#582) cb5901e fix(core): normalize provider API paths in fetch interceptor (#577) 166eebd fix(gateway): use original fetch for upstream calls to prevent interceptor loop (#576) 8c1727d fix(gateway): provider routing follow-up fixes from post-merge audit (#565)
88c503b fix(core): clean up knowledge_transfers on entry removal (#543) e7813a5 feat(entities): embedding-based entity auto-dedup (#462) (#536) 8a42e99 style: enable Biome lint rules and fix all findings (#537) 78004bb style: introduce Biome and apply repo-wide formatting (#533) 185d0b5 feat(core): track cross-project knowledge transfer metrics (#506) (#531) cc1017b feat(core): support non-English conversations (Turkish) (#522) 4727fc8 feat(core): structured tool-call execution trace for richer pattern extraction (#521) 6ff1ad0 feat(core): auto-promote knowledge recurring across 3+ projects (#505) b0b7729 fix: wire ensureSelfEntity() into curator pipeline (#484) e47d305 feat: add multi-user attribution and team sync schema (v29) (#468)
Found 123 matches (showing first 100) /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/db.ts: Line 89: CREATE TABLE IF NOT EXISTS distillations ( Line 101: CREATE INDEX IF NOT EXISTS idx_distillation_session ON distillations(session_id); Line 102: CREATE INDEX IF NOT EXISTS idx_distillation_project ON distillations(project_id); Line 103: CREATE INDEX IF NOT EXISTS idx_distillation_generation ON distillations(generation); Line 104: CREATE INDEX IF NOT EXISTS idx_distillation_created ON distillations(created_at); Line 106: CREATE TABLE IF NOT EXISTS knowledge ( Line 120: CREATE VIRTUAL TABLE IF NOT EXISTS knowledge_fts USING fts5( Line 124: content=knowledge, Line 129: CREATE TRIGGER IF NOT EXISTS knowledge_fts_insert AFTER INSERT ON knowledge BEGIN Line 130: INSERT INTO knowledge_fts(rowid, title, content, category) Line 134: CREATE TRIGGER IF NOT EXISTS ...
525 packages/gateway/src/worker-model.ts 1403 packages/core/src/distillation.ts 938 packages/core/src/curator.ts 2165 packages/core/src/ltm.ts 2198 packages/core/src/db.ts 7229 total
Important finding! The most recent commit on worker-model.ts is:
fe87f59 fix(gateway): enforce same-provider worker routing — never cross-provider (#588)
This was merged on a recent date (it's in the last 10 commits). Let me check what this commit changed — it might already be doing what the user is asking for!
Also there's:
4109fdb fix(gateway): remove protocolToProviderID and use exact provider ID matching for workers (#582)8c1727d fix(gateway): provider routing follow-up fixes from post-merge audit (#565)These are all related to provider routing for workers. Let me check what was done.
I need to:
distillations and knowledge tables — specifically what model/provider fields existLet me investigate.
commit fe87f59903b3de52424bdaabd5134f92a783b0f0
Author: Burak Yigit Kaya <ben@byk.im>
Date: Sat Jun 6 21:01:09 2026 +0100
fix(gateway): enforce same-provider worker routing — never cross-provider (#588)
## Problem
Workers (distillation, curation, query expansion) were crossing provider
boundaries. An NVIDIA session would resolve to an Anthropic worker
model, then try to call api.anthropic.com with NVIDIA credentials → 401.
The batch queue would also route NVIDIA sessions to the Anthropic batch
API, causing more 401s.
## Rules Enforced
1. **Same provider, always.** Workers use the session's provider — never
cross-provider.
2. **Same model or cheaper.** Use the session model, or a cheaper
validated model from the same provider (sonnet-4.6 floor for Anthropic,
gpt-5.4-mini for OpenAI). Unknown providers use the session model as-is.
3. **Batch if available.** Use batch API only when the provider supports
...
commit fe87f59903b3de52424bdaabd5134f92a783b0f0
Author: Burak Yigit Kaya <ben@byk.im>
Date: Sat Jun 6 21:01:09 2026 +0100
fix(gateway): enforce same-provider worker routing — never cross-provider (#588)
## Problem
Workers (distillation, curation, query expansion) were crossing provider
boundaries. An NVIDIA session would resolve to an Anthropic worker
model, then try to call api.anthropic.com with NVIDIA credentials → 401.
The batch queue would also route NVIDIA sessions to the Anthropic batch
API, causing more 401s.
## Rules Enforced
1. **Same provider, always.** Workers use the session's provider — never
cross-provider.
2. **Same model or cheaper.** Use the session model, or a cheaper
validated model from the same provider (sonnet-4.6 floor for Anthropic,
gpt-5.4-mini for OpenAI). Unknown providers use the session model as-is.
3. **Batch if available.** Use batch API only when the provider supports
...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/db.ts</path>
<type>file</type>
<content>
80: INSERT INTO temporal_fts(temporal_fts, rowid, content) VALUES('delete', old.rowid, old.content);
81: INSERT INTO temporal_fts(rowid, content) VALUES (new.rowid, new.content);
82: END;
83:
84: CREATE INDEX IF NOT EXISTS idx_temporal_session ON temporal_messages(session_id);
85: CREATE INDEX IF NOT EXISTS idx_temporal_project ON temporal_messages(project_id);
86: CREATE INDEX IF NOT EXISTS idx_temporal_distilled ON temporal_messages(distilled);
87: CREATE INDEX IF NOT EXISTS idx_temporal_created ON temporal_messages(created_at);
88:
89: CREATE TABLE IF NOT EXISTS distillations (
90: id TEXT PRIMARY KEY,
91: project_id TEXT NOT NULL REFERENCES projects(id),
92: session_id TEXT NOT NULL,
93: narrative TEXT NOT NULL,
94: facts TEXT NOT NULL,
95: source_ids TEXT NOT NULL,
96: ...
CRITICAL FINDING: PR #588 (fe87f59 fix(gateway): enforce same-provider worker routing — never cross-provider) was merged YESTERDAY (Sat Jun 6 21:01:09 2026 +0100) — just hours ago!
This PR already does the architectural fix the user wanted:
The key changes:
getWorkerModel() now takes { providerID, model } from UpstreamSnapshot (not just providerID)undefined when no model can be resolvedstate.lastUpstream.urlresolveIsOpenAI() for wire protocolSo the architecture is already fixed. My plan to refactor WORKER_DEFAULTS and remove the Anthropic default is mostly redundant — the latest commit already did the same thing.
I need to verify:
Big finding: PR #588 was merged yesterday and already implements the architecture the user wanted (same-provider routing, session model fallback for unknown providers, undefined when no model). My plan §3a is largely redundant. Let me verify the current state of the related files and dig into the source-attribution question.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/worker-model.ts</path>
<type>file</type>
<content>
425: return { providerID: "github-copilot", modelID: "gpt-5.4-mini" };
426: }
427:
428: /**
429: * Resolve the effective worker model for background calls.
430: *
431: * Checks (in order):
432: * 1. Explicit config override (`workerModel` in lore config)
433: * 2. Provider-aware cost default (validated cheaper model from same family)
434: * 3. General fallback (GPT-5.4-mini) for unknown providers
435: * 4. Config model fallback (session model)
436: */
437: export function getWorkerModel(session?: {
438: providerID?: string;
439: /** Session model ID (UpstreamSnapshot uses `model`, callers may use `modelID`). */
440: model?: string;
441: }): { providerID: string; modelID: string } | undefined {
442: // Env var override — highest priority. ...
Found 6 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts: Line 39: metadata: string | null; Line 57: "id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, metadata, created_by, updated_by, sensitivity, promotion_status, promoted_at, approval_status, approved_by, approved_at, source_user_id, source_entry_id, last_accessed_at"; Line 61: "k.id, k.project_id, k.category, k.title, k.content, k.source_session, k.cross_project, k.confidence, k.created_at, k.updated_at, k.metadata, k.created_by, k.updated_by, k.sensitivity, k.promotion_status, k.promoted_at, k.approval_status, k.approved_by, k.approved_at, k.source_user_id, k.source_entry_id, k.last_accessed_at"; Line 157: `INSERT INTO knowledge (id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, created_by, sensitivity) Line ...
Found 8 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts:
Line 54: * Tiny segments can't meaningfully compress — distillation adds metadata
Line 683: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, created_at, r_compression, c_norm, call_type)
Line 817: model?: { providerID: string; modelID: string };
Line 834: model?: { providerID: string; modelID: string };
Line 949: model?: { providerID: string; modelID: string };
Line 1019: // because distillation necessarily adds metadata; large segments must
Line 1197: model?: { providerID: string; modelID: string };
Line 1208: model?: { providerID: string; modelID: string };
Found 6 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts:
Line 39: metadata: string | null;
Line 57: "id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, metadata, created_by, updated_by, sensitivity, promotion_status, promoted_at, approval_status, approved_by, approved_at, source_user_id, source_entry_id, last_accessed_at";
Line 61: "k.id, k.project_id, k.category, k.title, k.content, k.source_session, k.cross_project, k.confidence, k.created_at, k.updated_at, k.metadata, k.created_by, k.updated_by, k.sensitivity, k.promotion_status, k.promoted_at, k.approval_status, k.approved_by, k.approved_at, k.source_user_id, k.source_entry_id, k.last_accessed_at";
Line 63: export function create(input: {
Line 297: * for use in the `create()` dedup guard.
Line 759: metadata: null,
Now let me look at the actual INSERT statements for distillations and knowledge, to see what fields are populated.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
670: observations: string;
671: sourceIDs: string[];
672: generation: number;
673: rCompression?: number;
674: cNorm?: number;
675: callType?: "batch" | "direct";
676: }): string {
677: const pid = ensureProject(input.projectPath);
678: const id = crypto.randomUUID();
679: const sourceJson = JSON.stringify(input.sourceIDs);
680: const tokens = Math.ceil(input.observations.length / 3);
681: db()
682: .query(
683: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, created_at, r_compression, c_norm, call_type)
684: VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,
685: )
686: .run(
687: id,
688: pid,
689: input.sessionID,
690: "", // legacy column — kept for schema compat
691: ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts</path>
<type>file</type>
<content>
130: .get(input.title) as { id: string } | null;
131:
132: if (crossExisting) {
133: update(crossExisting.id, dedupUpdate);
134: return crossExisting.id;
135: }
136:
137: // Fuzzy dedup: check for title-similar entries via FTS5 + word-overlap.
138: // This catches near-duplicates the curator creates with slightly different
139: // titles for the same concept (e.g. "Upgrade lock bug" vs "Upgrade binary
140: // lock re-entry bug"). Placed after exact checks (cheaper checks first).
141: const fuzzyMatch = findFuzzyDuplicate({
142: title: input.title,
143: projectId: pid,
144: });
145: if (fuzzyMatch) {
146: update(fuzzyMatch.id, dedupUpdate);
147: return fuzzyMatch.id;
148: }
149: }
150:
151: const id = input.id ?? ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts</path> <type>file</type> <content> 50: source_entry_id: string | null; 51: last_accessed_at: number | null; 52: }; 53: 54: /** Columns to select for KnowledgeEntry — excludes the embedding BLOB 55: * (4KB per entry) which is only needed by vectorSearch() in embedding.ts. */ 56: const KNOWLEDGE_COLS = 57: "id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, metadata, created_by, updated_by, sensitivity, promotion_status, promoted_at, approval_status, approved_by, approved_at, source_user_id, source_entry_id, last_accessed_at"; 58: 59: /** Same columns with table alias prefix for use in JOIN queries. */ 60: const KNOWLEDGE_COLS_K = 61: "k.id, k.project_id, k.category, k.title, k.content, k.source_session, k.cross_project, k.confidence, k.created_at, k.updated_at, k.metadata, k.created_by, ...
Now I have a clear picture. The data quality gap the user is asking about is real and confirmed:
distillations table (distillation.ts:683):
INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, created_at, r_compression, c_norm, call_type)
No model_id or provider_id field. The distillation is NOT tagged with which model produced it.
knowledge table (ltm.ts:157):
INSERT INTO knowledge (id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, created_by, sensitivity)
Has source_session but no source_model or source_provider field. The knowledge entry is NOT tagged with which model curated it.
The metadata TEXT column on knowledge exists in the schema but is not being written in the create() function (it's not in the INSERT column list). It's just read in the SELECT.
...
No files found
Found 26 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts: Line 29: * The curator prompt also instructs the model to stay within this limit, Line 39: metadata?: Record<string, unknown>; Line 47: metadata?: Record<string, unknown>; Line 171: // Validate metadata — must be a plain object with non-empty string values ≤500 chars Line 174: typeof obj.metadata === "object" && Line 175: obj.metadata !== null && Line 176: !Array.isArray(obj.metadata) Line 179: Object.entries(obj.metadata as Record<string, unknown>).filter( Line 190: metadata: validMetadata, Line 210: // Validate relation metadata Line 213: typeof obj.metadata === "object" && Line 214: obj.metadata !== null && Line 215: !Array.isArray(obj.metadata) Line 218: Object.entries(obj.metadata as Record<string, ...
Found 3 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts:
Line 275: const id = ltm.create({
Line 334: // Create detected entities (metadata merged on dedup via create())
Line 338: const result = entities.create({
commit fe87f59903b3de52424bdaabd5134f92a783b0f0
Author: Burak Yigit Kaya <ben@byk.im>
Date: Sat Jun 6 21:01:09 2026 +0100
fix(gateway): enforce same-provider worker routing — never cross-provider (#588)
## Problem
Workers (distillation, curation, query expansion) were crossing provider
boundaries. An NVIDIA session would resolve to an Anthropic worker
model, then try to call api.anthropic.com with NVIDIA credentials → 401.
The batch queue would also route NVIDIA sessions to the Anthropic batch
API, causing more 401s.
## Rules Enforced
1. **Same provider, always.** Workers use the session's provider — never
cross-provider.
2. **Same model or cheaper.** Use the session model, or a cheaper
validated model from the same provider (sonnet-4.6 floor for Anthropic,
gpt-5.4-mini for OpenAI). Unknown providers use the session model as-is.
3. **Batch if available.** Use batch API only when the provider supports
...
Now let me look at how curator calls ltm.create() to see if model info is being passed.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
260: let updated = 0;
261: let deleted = 0;
262: let entitiesCreated = 0;
263: const idsToSync: string[] = [];
264:
265: for (const op of ops) {
266: if (op.op === "create") {
267: if (input.skipCreate) continue;
268: // Defensive: skip malformed ops missing required fields
269: if (!op.content || !op.title || !op.category) continue;
270: const content =
271: op.content.length > MAX_ENTRY_CONTENT_LENGTH
272: ? op.content.slice(0, MAX_ENTRY_CONTENT_LENGTH) +
273: " [truncated — entry too long]"
274: : op.content;
275: const id = ltm.create({
276: projectPath: op.scope === "project" ? input.projectPath : undefined,
277: category: op.category,
278: title: op.title,
279: content,
280: session: ...
Found 27 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts: Line 29: * The curator prompt also instructs the model to stay within this limit, Line 39: metadata?: Record<string, unknown>; Line 47: metadata?: Record<string, unknown>; Line 171: // Validate metadata — must be a plain object with non-empty string values ≤500 chars Line 174: typeof obj.metadata === "object" && Line 175: obj.metadata !== null && Line 176: !Array.isArray(obj.metadata) Line 179: Object.entries(obj.metadata as Record<string, unknown>).filter( Line 190: metadata: validMetadata, Line 210: // Validate relation metadata Line 213: typeof obj.metadata === "object" && Line 214: obj.metadata !== null && Line 215: !Array.isArray(obj.metadata) Line 218: Object.entries(obj.metadata as Record<string, ...
0
234|0
Confirmed data integrity bug: 234 total knowledge entries, 0 have metadata set. The metadata column on the knowledge table exists in the schema but is never written to by ltm.create(). This means we have NO record of which model produced each knowledge entry.
Also confirmed from the curator code (line 275-284): when the curator calls ltm.create(), it doesn't pass any model/provider info. The input.sessionID is passed but not the worker model.
For distillations (line 683), the INSERT only has the 13 fields shown — no model/provider info.
So the user's question reveals a real data integrity gap:
temporal_messages.metadata (with mode and modelID)distillations and knowledge rows do NOT record which model produced themmetadata column was added to the schema but never wired up to the write pathNow let me update the plan. The plan should:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
585: input.sessionID,
586: );
587: } catch (err) {
588: log.warn("tool failure context failed (non-fatal):", err);
589: }
590:
591: const userContent =
592: baseUserContent +
593: crossSessionContext +
594: actionTagContext +
595: toolFailureContext;
596: const model = input.model ?? cfg.model;
597: const responseText = await input.llm.prompt(CURATOR_SYSTEM, userContent, {
598: model,
599: workerID: "lore-curator",
600: thinking: false,
601: sessionID: input.sessionID,
602: maxTokens: 2048,
603: temperature: 0,
604: });
605: if (!responseText)
606: return {
607: created: 0,
608: updated: 0,
609: deleted: 0,
610: entitiesCreated: 0,
611: relationsCreated: 0,
612: };
613:
614: const response = ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
980: day: "numeric",
981: })
982: : "unknown date";
983: const userContent = distillationUser({
984: priorObservations: prior,
985: date,
986: messages: text,
987: pinnedAssertions,
988: toolFailures,
989: });
990:
991: const model = input.model ?? config().model;
992: const sourceTokens = input.messages.reduce((sum, m) => sum + m.tokens, 0);
993: const maxTokens = distillTokenBudget(sourceTokens);
994: const responseText = await input.llm.prompt(
995: DISTILLATION_SYSTEM,
996: userContent,
997: {
998: model,
999: workerID: "lore-distill",
1000: thinking: false,
1001: urgent: input.urgent,
1002: sessionID: input.sessionID,
1003: maxTokens,
1004: temperature: 0,
1005: },
1006: );
1007: if (!responseText) ...
019ea401-58fd-7491-93ce-04504a671f57|0pC9gNWfsT678F9on||| 019ea3eb-6364-75c0-9f37-abaa39d09d2a|0BLMn3hmhuUFYLJXU||| 019ea3a7-9086-7ba6-990e-f8a55394b754|0p4VXwVSp5OXerSpp||| 019dba3f-774a-7db1-9fcd-b81cad8a99fe|||| 019db734-fa21-7e1f-a9f7-f8f63e33e1b5||||
Now I have the complete picture. Let me write a substantially updated plan that:
WORKER_DEFAULTS refactordistillations table has no model/provider columnknowledge table has metadata TEXT column but it's never written?? "anthropic" cold-start defaultThe plan needs to be REWRITTEN, not appended. Let me also do one more check to confirm the user-visible surface (system message / dashboard) is also not in #588.
found
## Verification
- `pnpm run typecheck`: 4/4 pass
- `pnpm run lint`: 0 errors
- `pnpm test`: 2272 pass, 0 fail
packages/gateway/src/batch-queue.ts | 36 +++++++--------
packages/gateway/src/cost-tracker.ts | 1 +
packages/gateway/src/idle.ts | 2 +-
packages/gateway/src/llm-adapter.ts | 41 +++++++++++++----
packages/gateway/src/pipeline.ts | 89 ++++++++++--------------------------
packages/gateway/src/worker-model.ts | 64 ++++++++++++++++----------
6 files changed, 115 insertions(+), 118 deletions(-)
Found 3 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts:
Line 404: log.warn("no auth credentials available for worker call");
Line 631: Sentry.captureException(
Line 709: Sentry.captureException(
packages/gateway/src/llm-adapter.ts:404: log.warn("no auth credentials available for worker call");
Now I have all the info I need. Let me rewrite the plan with the corrections. Key changes from the previous version:
getWorkerModel rewrite I had planned is ALREADY DONE.?? "anthropic" cold-start default at worker-model.ts:469.I also confirmed:
metadata column on knowledge exists but is NEVER written (234/0)distillations table has no model/provider field at allno auth credentials warning is still at llm-adapter.ts:404 — unchangedLet me write the corrected plan.
Wrote file successfully.
Plan is written. Now I should call plan_exit.
User approved switching to build agent. Wait for further instructions.
The plan at .opencode/plans/1780868002004-proud-lagoon.md has been approved, you can now edit files. Execute the plan
A plan file exists at /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/.opencode/plans/1780868002004-proud-lagoon.md. You should execute on the plan defined within it
The user has approved the plan and switched to build mode. I need to execute the plan as defined. Let me start with the work.
The plan has these main sections:
?? "anthropic" removal (deferred)The plan says rollout should be done in separate PRs, but I'm executing it as a build agent. I should:
Let me start with a todo list to track the work.
Looking at the plan, the work breaks down as:
PR 1: Source attribution
db.ts — add migration for worker_provider_id and worker_model_id on distillations and knowledge[
{
"content": "Source attribution: add migration for worker_provider_id/worker_model_id on distillations + knowledge",
"status": "in_progress",
"priority": "high"
},
{
"content": "Source attribution: wire input.model through distillSegment + metaDistillInner to insertDistillation",
"status": "pending",
"priority": "high"
},
{
"content": "Source attribution: pass input.model through curator.runInner -> applyOps -> ltm.create",
"status": "pending",
"priority": "high"
},
{
"content": "Source attribution: extend ltm.create input + INSERT to include worker attribution",
"status": "pending",
"priority": "high"
},
{
"content": "Worker health: create packages/gateway/src/worker-health.ts module",
"status": "pending",
"priority": "high"
},
{
"content": "Worker health: wire recordWorkerFailure into llm-adapter.ts (no-auth, protocol-mismatch, upstream-error)",
"status": "pending",
"priority": "high"
...
Let me start executing. First I need to read the current state of db.ts to find the right place to add the migration.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/db.ts</path>
<type>file</type>
<content>
985: `
986: -- Version 34: Entity auto-dedup (#462). Embedding-based alias clustering.
987: -- Add a vector column to entities (same Float32Array-as-BLOB pattern as
988: -- knowledge.embedding) and a 'kind' discriminator on dedup_feedback so the
989: -- adaptive threshold calibration table can hold both knowledge and entity
990: -- feedback rows. Existing rows default to 'knowledge' to keep the knowledge
991: -- dedup code paths unchanged.
992: ALTER TABLE entities ADD COLUMN embedding BLOB;
993: ALTER TABLE dedup_feedback ADD COLUMN kind TEXT NOT NULL DEFAULT 'knowledge';
994: `,
995: ];
996:
997: /** Return the resolved path of the SQLite database file. */
998: export function dbPath(): string {
999: const envPath = process.env.LORE_DB_PATH;
1000: if (envPath) return envPath;
1001: return ...
Now I have a complete picture of the migrations area. The latest is v34. I need to add v35 for the worker source attribution. Let me add the migration.
I also need to add a recovery clause in recoverMissingObjects for the new columns. Let me edit the file.
Edit applied successfully.
Now let me also add a recovery clause in recoverMissingObjects for the new columns, in case a partial migration happens. Let me look at the existing recovery code to understand the pattern.
Edit applied successfully.
Schema migration is done. Now I need to:
distillation.ts to thread input.model through to insertDistillation for both distillSegment and metaDistillInner.curator.ts to pass input.model to applyOps and then to ltm.create.ltm.ts to extend create() input and INSERT.Let me start with the cleanest path — ltm.ts first since it's the foundation, then work outward.
[
{
"content": "Source attribution: add migration for worker_provider_id/worker_model_id on distillations + knowledge",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: extend ltm.create input + INSERT to include worker attribution",
"status": "in_progress",
"priority": "high"
},
{
"content": "Source attribution: wire input.model through distillSegment + metaDistillInner to insertDistillation",
"status": "pending",
"priority": "high"
},
{
"content": "Source attribution: pass input.model through curator.runInner -> applyOps -> ltm.create",
"status": "pending",
"priority": "high"
},
{
"content": "Worker health: create packages/gateway/src/worker-health.ts module",
"status": "pending",
"priority": "high"
},
{
"content": "Worker health: wire recordWorkerFailure into llm-adapter.ts (no-auth, protocol-mismatch, upstream-error)",
"status": "pending",
"priority": "high"
...
Now let me update ltm.ts to add the worker attribution fields to create(). Let me also look at the existing SELECT pattern to understand how to read the new columns.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts</path> <type>file</type> <content> 30: project_id: string | null; 31: category: string; 32: title: string; 33: content: string; 34: source_session: string | null; 35: cross_project: number; 36: confidence: number; 37: created_at: number; 38: updated_at: number; 39: metadata: string | null; 40: // Multi-user attribution & sync (v29) 41: created_by: string | null; 42: updated_by: string | null; 43: sensitivity: Sensitivity; 44: promotion_status: PromotionStatus | null; 45: promoted_at: number | null; 46: approval_status: ApprovalStatus; 47: approved_by: string | null; 48: approved_at: number | null; 49: source_user_id: string | null; 50: source_entry_id: string | null; 51: last_accessed_at: number | null; 52: }; 53: 54: /** Columns to select for KnowledgeEntry — excludes the embedding BLOB 55: * (4KB per entry) which ...
Now I need to:
worker_provider_id and worker_model_id to the KnowledgeEntry typeKNOWLEDGE_COLS and KNOWLEDGE_COLS_Kcreate() inputSELECT that returns the row (the type cast)Let me update these one at a time.
Edit applied successfully.
Now let me update the INSERT statement in create() to include the new columns.
Edit applied successfully.
Now I need to find all the places where KnowledgeEntry rows are read from the DB and update the row-to-object mapping to include the new fields. Let me search for where the type is materialized.
Found 4 matches /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts: Line 51: last_accessed_at: number | null; Line 61: "id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, metadata, created_by, updated_by, sensitivity, promotion_status, promoted_at, approval_status, approved_by, approved_at, source_user_id, source_entry_id, last_accessed_at, worker_provider_id, worker_model_id"; Line 65: "k.id, k.project_id, k.category, k.title, k.content, k.source_session, k.cross_project, k.confidence, k.created_at, k.updated_at, k.metadata, k.created_by, k.updated_by, k.sensitivity, k.promotion_status, k.promoted_at, k.approval_status, k.approved_by, k.approved_at, k.source_user_id, k.source_entry_id, k.last_accessed_at, k.worker_provider_id, k.worker_model_id"; Line 780: last_accessed_at: null,
51: last_accessed_at: number | null; 61: "id, project_id, category, title, content, source_session, cross_project, confidence, created_at, updated_at, metadata, created_by, updated_by, sensitivity, promotion_status, promoted_at, approval_status, approved_by, approved_at, source_user_id, source_entry_id, last_accessed_at, worker_provider_id, worker_model_id"; 65: "k.id, k.project_id, k.category, k.title, k.content, k.source_session, k.cross_project, k.confidence, k.created_at, k.updated_at, k.metadata, k.created_by, k.updated_by, k.sensitivity, k.promotion_status, k.promoted_at, k.approval_status, k.approved_by, k.approved_at, k.source_user_id, k.source_entry_id, k.last_accessed_at, k.worker_provider_id, k.worker_model_id"; 780: last_accessed_at: null,
There are also other code paths that read KnowledgeEntry rows and materialize them. Let me look for them and also the one at line 780. Let me search for any place that does as KnowledgeEntry or constructs a KnowledgeEntry row from a DB result.
50: source_entry_id: string | null; 389: .all(pid) as KnowledgeEntry[]; 398: .all(pid) as KnowledgeEntry[]; 545: .all(pid, ...categoryParams) as KnowledgeEntry[]; 554: .all(...categoryParams) as KnowledgeEntry[]; 779: source_entry_id: null, 843: .all() as KnowledgeEntry[]; 854: .all() as KnowledgeEntry[]; 876: .all() as KnowledgeEntry[]; 927: .all(pid, ...likeParams, input.limit) as KnowledgeEntry[]; 933: .all(...likeParams, input.limit) as KnowledgeEntry[]; 967: .all(...params) as KnowledgeEntry[]; 1064: .get(id) as KnowledgeEntry | null; 1568: .all() as KnowledgeEntry[]; 1626: ) as KnowledgeEntry[];
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts</path>
<type>file</type>
<content>
750: maxTokens - used,
751: );
752: for (const section of latSections) {
753: if (used >= maxTokens) break;
754: const display = section.first_paragraph ?? section.content;
755: const cost = estimateTokens(section.heading + display) + 10;
756: if (used + cost > maxTokens) continue;
757: // Convert lat section to a synthetic KnowledgeEntry for formatKnowledge()
758: result.push({
759: id: section.id,
760: project_id: section.project_id,
761: category: "lat.md",
762: title: `[${section.file}] ${section.heading}`,
763: content: display,
764: source_session: null,
765: cross_project: 0,
766: confidence: 1.0,
767: created_at: section.updated_at,
768: updated_at: section.updated_at,
769: metadata: ...
Line 779-780 is the synthetic KnowledgeEntry materialization for lat.md sections. I need to add the worker_provider_id and worker_model_id fields there (set to null since these are synthetic, not worker-produced). Let me view a few more lines to confirm and then add.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts</path> <type>file</type> <content> 775: approval_status: "auto", 776: approved_by: null, 777: approved_at: null, 778: source_user_id: null, 779: source_entry_id: null, 780: last_accessed_at: null, 781: }); 782: used += cost; 783: } 784: } 785: 786: // --- 7. Record cross-project transfer metrics (issue #506) --- 787: // An entry counts as a "transfer" when it was injected into a project that is 788: // NOT its origin: cross_project=1 AND a non-null project_id != pid. Global 789: // entries (project_id === null) have no origin; self-project entries (Showing lines 775-789 of 2175. Use offset=790 to continue.) </content>
Edit applied successfully.
Now I need to look at the row-to-object mapping for the other queries. The as KnowledgeEntry[] casts work as long as the SELECT column list matches the type. Since I added two new fields at the end of KNOWLEDGE_COLS and KNOWLEDGE_COLS_K, those should work — but let me verify there's no other place that selects knowledge rows with a custom column list that would break.
Actually, the safest approach is to do a search for any SELECT that targets the knowledge table to make sure they all either use KNOWLEDGE_COLS / KNOWLEDGE_COLS_K, or include the new fields.
110: "SELECT id FROM knowledge WHERE project_id = ? AND LOWER(title) = LOWER(?) AND confidence > 0 LIMIT 1",
115: "SELECT id FROM knowledge WHERE project_id IS NULL AND LOWER(title) = LOWER(?) AND confidence > 0 LIMIT 1",
136: "SELECT id FROM knowledge WHERE cross_project = 1 AND LOWER(title) = LOWER(?) AND confidence > 0 LIMIT 1",
240: db().query("DELETE FROM knowledge_transfers WHERE knowledge_id = ?").run(id);
241: db().query("DELETE FROM knowledge WHERE id = ?").run(id);
326: ? `SELECT k.id, k.title FROM knowledge_fts f
333: : `SELECT k.id, k.title FROM knowledge_fts f
384: `SELECT ${KNOWLEDGE_COLS} FROM knowledge
393: `SELECT ${KNOWLEDGE_COLS} FROM knowledge
439: FROM knowledge_fts f
541: `SELECT ${KNOWLEDGE_COLS} FROM knowledge
550: `SELECT ${KNOWLEDGE_COLS} FROM knowledge
843: `SELECT ${KNOWLEDGE_COLS} FROM knowledge WHERE confidence > 0.2 ORDER BY confidence DESC, updated_at DESC`,
852: ...
All SELECT ${KNOWLEDGE_COLS} and SELECT ${KNOWLEDGE_COLS_K} sites will now include the new fields. The other SELECTs target specific columns and don't materialize KnowledgeEntry types. So no other materialization sites need updating.
Now let me check forSession and the like to make sure nothing breaks. Actually let me also check the dedup merge at line 114-148 to make sure I don't break the merge when an entry already exists. The dedup uses update(existing.id, { content, confidence }) which only updates content/confidence, so the worker attribution on the existing row stays unchanged. Good.
Wait — but there's a subtle issue. When the dedup merges, the existing entry's worker_provider_id and worker_model_id are preserved (from the original creator). The new input.workerProviderID / input.workerModelID are ignored. This is the right behavior — we want to know who created the entry, not who most recently tried to update it. Good. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/ltm.ts</path>
<type>file</type>
<content>
1060: }
1061: }
1062:
1063: export function get(id: string): KnowledgeEntry | null {
1064: return db()
1065: .query(`SELECT ${KNOWLEDGE_COLS} FROM knowledge WHERE id = ?`)
1066: .get(id) as KnowledgeEntry | null;
1067: }
1068:
1069: /**
1070: * Prune knowledge entries whose content exceeds maxLength characters.
1071: * These are typically corrupted entries from AGENTS.md roundtrip escaping bugs
1072: * or curator hallucinations with full code dumps.
1073: *
1074: * Rather than hard-deleting, sets confidence to 0 so they're excluded from
1075: * queries (confidence > 0.2) but can be inspected for debugging.
1076: *
1077: * @returns Number of entries pruned
1078: */
1079: export function pruneOversized(maxLength: number): number {
1080: const result = db()
1081: .query(
1082: "UPDATE knowledge ...
Edit applied successfully.
Now let me update distillation.ts to thread input.model through to insertDistillation. Let me first look at the current insertDistillation function and the two call sites.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
660: }>;
661: return rows.map((r) => ({
662: ...r,
663: source_ids: parseSourceIds(r.source_ids),
664: }));
665: }
666:
667: function storeDistillation(input: {
668: projectPath: string;
669: sessionID: string;
670: observations: string;
671: sourceIDs: string[];
672: generation: number;
673: rCompression?: number;
674: cNorm?: number;
675: callType?: "batch" | "direct";
676: }): string {
677: const pid = ensureProject(input.projectPath);
678: const id = crypto.randomUUID();
679: const sourceJson = JSON.stringify(input.sourceIDs);
680: const tokens = Math.ceil(input.observations.length / 3);
681: db()
682: .query(
683: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, created_at, r_compression, ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1050: db().exec("COMMIT");
1051: } catch (e) {
1052: db().exec("ROLLBACK");
1053: throw e;
1054: }
1055:
1056: log.info(
1057: `distill segment: ${input.messages.length} msgs, ` +
1058: `${sourceTokens}→${distilledTokens} tokens, ` +
1059: `R=${rComp.toFixed(2)}, C_norm=${cNorm.toFixed(3)}`,
1060: );
1061:
1062: // Soft quality warning: R < 1.0 means the distillation is below the √N
1063: // boundary, suggesting potentially lossy compression. Stored for
1064: // monitoring — not a hard gate.
1065: if (rComp < 1.0) {
1066: log.warn(
1067: `distill quality low: R=${rComp.toFixed(2)} (<1.0) on ${input.messages.length} msgs, ` +
1068: `${sourceTokens}→${distilledTokens} tokens — may have lost detail`,
1069: );
1070: }
1071:
1072: // Embed the ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1280: // next run to re-consolidate the same segments into a duplicate meta).
1281: // Uses manual BEGIN/COMMIT because `bun:sqlite` and `node:sqlite` have
1282: // incompatible transaction APIs (`.transaction()` vs nothing).
1283: let metaId: string;
1284: db().exec("BEGIN IMMEDIATE");
1285: try {
1286: metaId = storeDistillation({
1287: projectPath: input.projectPath,
1288: sessionID: input.sessionID,
1289: observations: result.observations,
1290: sourceIDs: allSourceIDs,
1291: generation: maxGen + 1,
1292: callType: input.callType,
1293: });
1294: // Archive only the consolidated gen-0 distillations — recent segments
1295: // kept via recentSegmentsToKeep remain non-archived in the prefix. ...
Let me find all the calls to storeDistillation to update them. Let me also look at the metaDistillInner and the segment-level distillation code.
667:function storeDistillation(input: {
1039: distillId = storeDistillation({
1286: metaId = storeDistillation({
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1030: }
1031:
1032: // Atomic: store distillation + mark source messages as distilled in one
1033: // transaction. Without this, a crash between the two statements would leave
1034: // messages undistilled but with an existing distillation row, causing
1035: // re-processing on restart and duplicate distillation content.
1036: let distillId: string;
1037: db().exec("BEGIN IMMEDIATE");
1038: try {
1039: distillId = storeDistillation({
1040: projectPath: input.projectPath,
1041: sessionID: input.sessionID,
1042: observations: result.observations,
1043: sourceIDs: input.messages.map((m) => m.id),
1044: generation: 0,
1045: rCompression: rComp,
1046: cNorm,
1047: callType: input.callType,
1048: });
1049: ...
Now let me update storeDistillation to accept workerProviderID and workerModelID, and update both call sites to pass input.model. Also, the extractPatterns blocks at 1092-1106 and 1311-1325 should pass the worker model to ltm.create.
Edit applied successfully.
Now update both call sites to pass input.model.
Edit applied successfully.
Edit applied successfully.
Now update the extractPatterns blocks in distillSegment and metaDistillInner to pass the worker model to ltm.create. Let me also handle the case where ltm.create will need to know which model produced the patterns. Since pattern-extract is purely regex (no LLM call), strictly speaking the patterns are derived from the distillation. So the "source model" is the worker that did the distillation, not the pattern-extract regex.
Both ltm.create calls in distillation.ts:1096 and distillation.ts:1315 need workerProviderID and workerModelID from input.model.
Edit applied successfully.
Wait, I need to be careful. The old block was the one for distillSegment (line 1092-1106 before my edit). But I also need to update the metaDistillInner block (line 1311-1325 before my edit, now at different line numbers). Let me re-read the file to confirm I edited the right one.
Actually wait — my edit used the trailing text // --------------------------------------------------------------------------- which is the section separator between distillSegment and metaDistillInner. So I edited the one for distillSegment. The metaDistillInner one still needs the same treatment.
But also — the detectPatternEchoes call at line 1078 also has model: input.model. Let me look at detectPatternEchoes to see if it also calls ltm.create (which would need the same treatment).
9: extractPatterns,
10: extractActionTags,
1101: const patterns = extractPatterns(result.observations);
1104: ltm.create({
1113: // Dedup guard in ltm.create() handles duplicates — swallow errors
1125: const tags = extractActionTags(result.observations);
1139: ltm.create({
1168: ltm.create({
1322: const patterns = extractPatterns(result.observations);
1325: ltm.create({
1336: // Dedup guard in ltm.create() handles duplicates — swallow errors
No files found
There are 4 ltm.create calls in distillation.ts that need the worker attribution. Let me look at all of them:
ltm.create for extractPatterns in distillSegment - DONEltm.create for extractActionTags in distillSegment - needs updateltm.create for action tag count > 1 in distillSegment - needs updateltm.create for extractPatterns in metaDistillInner - needs updateLet me read those sections.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1120: }
1121:
1122: // Action tag counting: extract tags from this segment, then count
1123: // how many distinct sessions contain the same tag across the project.
1124: // When a tag appears in 3+ sessions, it's a strong behavioral signal.
1125: const tags = extractActionTags(result.observations);
1126: if (tags.length > 0) {
1127: const pid = ensureProject(input.projectPath);
1128: for (const tag of tags) {
1129: try {
1130: const tagPattern = `%[${tag}]%`;
1131: const rows = db()
1132: .query(
1133: `SELECT COUNT(DISTINCT session_id) as cnt FROM distillations
1134: WHERE project_id = ? AND observations LIKE ?`,
1135: )
1136: .get(pid, tagPattern) as { cnt: number } | null;
1137: ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1315: // Fire-and-forget OUTSIDE the transaction (async, no rollback needed).
1316: if (embedding.isAvailable()) {
1317: embedding.embedDistillation(metaId, result.observations);
1318: }
1319:
1320: // Fire-and-forget: extract decision/preference patterns → knowledge entries
1321: if (config().knowledge.enabled) {
1322: const patterns = extractPatterns(result.observations);
1323: for (const pat of patterns) {
1324: try {
1325: ltm.create({
1326: projectPath: input.projectPath,
1327: category: pat.category,
1328: title: pat.title,
1329: content: pat.content,
1330: session: input.sessionID,
1331: scope: "project",
1332: workerProviderID: input.model?.providerID,
1333: workerModelID: ...
I see that the metaDistillInner block at line 1325 already has workerProviderID / workerModelID — that's because my earlier edit at "section separator" hit the same block? No, wait — the earlier edit was for distillSegment (line 1101) which had the unique trailing // ---- separator.
But the block at 1325 also has the new fields. Did my edit duplicate? Let me check. Actually no, my earlier edit only replaced one block. The block at 1325 must have been already showing the changes. Let me re-read the file to confirm.
Actually wait — re-reading more carefully, my earlier edit was the distillSegment block which is at line 1101-1120. The block I see at 1325 in this view is the metaDistillInner block. Let me check the timestamps.
Actually the file is 1415 lines now (was 1403 originally), and I've added 12 lines (the workerProviderID/workerModelID lines). So my earlier edit was for the distillSegment block at 1092-1106 (originally) which is now at 1101+. ...
677: workerProviderID?: string; 679: workerModelID?: string; 704: input.workerProviderID ?? null, 705: input.workerModelID ?? null, 1054: workerProviderID: input.model?.providerID, 1055: workerModelID: input.model?.modelID, 1301: workerProviderID: input.model?.providerID, 1302: workerModelID: input.model?.modelID, 1332: workerProviderID: input.model?.providerID, 1333: workerModelID: input.model?.modelID,
Interesting — the meta-distill storeDistillation (line 1301) AND the meta-distill pattern extract (line 1332) already have the worker attribution. That means my edits actually applied to the meta-distill blocks. But I thought I was editing the distillSegment blocks. Let me check the order.
Wait, the two storeDistillation calls were at lines 1039 and 1286 originally. After my edits added 12 lines, they should now be at 1051+ (no — only 2-line additions, so 1041 and 1288). But the rg shows them at 1054 and 1301.
So:
Hmm, looking at it now: my edit to the distillSegment block at line 1101 ADDED the workerProviderID/workerModelID lines, which would shift later lines. So:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1095: } else if (embedding.isAvailable()) {
1096: embedding.embedDistillation(distillId, result.observations);
1097: }
1098:
1099: // Fire-and-forget: extract decision/preference patterns → knowledge entries
1100: if (config().knowledge.enabled) {
1101: const patterns = extractPatterns(result.observations);
1102: for (const pat of patterns) {
1103: try {
1104: ltm.create({
1105: projectPath: input.projectPath,
1106: category: pat.category,
1107: title: pat.title,
1108: content: pat.content,
1109: session: input.sessionID,
1110: scope: "project",
1111: });
1112: } catch {
1113: // Dedup guard in ltm.create() handles duplicates — swallow errors
1114: }
1115: }
1116: if (patterns.length > 0) ...
OK, so I see:
ltm.create for extractPatterns (distillSegment) - does NOT have worker attributionltm.create for extractActionTags (distillSegment) - does NOT have worker attributionltm.create for tool failure (distillSegment) - does NOT have worker attributionSo my earlier edit didn't take effect, or I edited the meta-distill block. Let me look at the meta-distill block to confirm.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1316: if (embedding.isAvailable()) {
1317: embedding.embedDistillation(metaId, result.observations);
1318: }
1319:
1320: // Fire-and-forget: extract decision/preference patterns → knowledge entries
1321: if (config().knowledge.enabled) {
1322: const patterns = extractPatterns(result.observations);
1323: for (const pat of patterns) {
1324: try {
1325: ltm.create({
1326: projectPath: input.projectPath,
1327: category: pat.category,
1328: title: pat.title,
1329: content: pat.content,
1330: session: input.sessionID,
1331: scope: "project",
1332: workerProviderID: input.model?.providerID,
1333: workerModelID: input.model?.modelID,
1334: });
1335: } catch {
1336: // Dedup guard in ...
Interesting — the metaDistillInner block at 1325 IS updated (has workerProviderID/workerModelID). The log message at line 1341 says "from segment" but the function is metaDistillInner. That's a copy-paste bug from before, not something I introduced. Let me note it.
But the distillSegment block at 1104 does NOT have the worker attribution. My earlier edit must have hit the meta-distill block. Let me fix the distillSegment block now.
Edit applied successfully.
Now let me check the ltm.create calls in the curator's applyOps function and also in the detectPatternEchoes function which is referenced from distillSegment. Let me search.
No files found
packages/core/src/pattern-echo.ts:80:export function detectPatternEchoes(input: {
packages/core/src/distillation.ts:14:import { detectPatternEchoes } from "./pattern-echo";
packages/core/src/distillation.ts:1086: const echoPromise = detectPatternEchoes({
Found 2 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/pattern-echo.ts:
Line 181: ltm.create({
Line 193: // ltm.create() dedup guard handles duplicates — swallow
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/pattern-echo.ts</path>
<type>file</type>
<content>
80: export function detectPatternEchoes(input: {
81: distillId: string;
82: observations: string;
83: projectPath: string;
84: sessionID: string;
85: llm: LLMClient;
86: model?: { providerID: string; modelID: string };
87: }): Promise<void> {
88: const p = _detect(input).catch((err) => {
89: log.error("pattern echo detection failed:", err);
90: });
91: return p;
92: }
93:
94: // ---------------------------------------------------------------------------
95: // Internal implementation
96: // ---------------------------------------------------------------------------
97:
98: async function _detect(input: {
99: distillId: string;
100: observations: string;
101: projectPath: string;
102: sessionID: string;
103: llm: LLMClient;
104: model?: { providerID: string; modelID: string };
105: }): ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/pattern-echo.ts</path>
<type>file</type>
<content>
175:
176: // Step 6: Parse response and create preference entry
177: const pattern = parsePatternResponse(responseText);
178: if (!pattern) return;
179:
180: try {
181: ltm.create({
182: projectPath: input.projectPath,
183: category: "preference",
184: title: pattern.title,
185: content: pattern.content,
186: session: input.sessionID,
187: scope: "project",
188: confidence: 0.8, // moderate — auto-extracted, not user-stated
189: });
190: log.info(`pattern echo created preference: "${pattern.title}"`);
191: lastExtraction.set(input.sessionID, Date.now());
192: } catch {
193: // ltm.create() dedup guard handles duplicates — swallow
194: }
195: }
196:
197: // ---------------------------------------------------------------------------
198: // ...
Edit applied successfully.
Now let me update the curator's applyOps to pass input.model through. Looking at curator.ts, the structure is:
runInner() calls applyOps() at line 629applyOps() calls ltm.create() at line 275applyOps() doesn't currently have access to input.modelI need to add model to the ApplyOpsInput type and pass input.model from runInner(). Let me look at the type.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
235: * and optionally create detected entities and relations.
236: * Shared by both the live curator and the conversation import system.
237: *
238: * @returns Counts of applied operations.
239: */
240: export function applyOps(
241: ops: CuratorOp[],
242: input: {
243: projectPath?: string;
244: sessionID?: string;
245: /** If true, skip "create" ops (used by consolidation). */
246: skipCreate?: boolean;
247: /** Entities detected by the curator from conversation context. */
248: detectedEntities?: DetectedEntity[];
249: /** Relations detected by the curator from conversation context. */
250: detectedRelations?: DetectedRelation[];
251: },
252: ): {
253: created: number;
254: updated: number;
255: deleted: number;
256: entitiesCreated: number;
257: relationsCreated: ...
Edit applied successfully.
Now I need to update the call site in runInner() to pass input.model as workerModel. Let me find the call.
240:export function applyOps(
521: // A project guard in applyOps prevents mutating entries from foreign projects.
633: const result = applyOps(response.ops, {
935: const result = applyOps(ops, {
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
630: );
631: }
632:
633: const result = applyOps(response.ops, {
634: projectPath: input.projectPath,
635: sessionID: input.sessionID,
636: skipCreate: atLimit,
637: detectedEntities: response.entities,
638: detectedRelations: response.relations,
639: });
640:
641: // Post-curation dedup sweep: if the curator created new entries, check for
642: // and auto-merge any semantic duplicates it introduced. Uses embedding-based
643: // similarity when available, falls back to word-overlap.
644: if (result.created > 0) {
645: try {
646: const dupes = await ltm.deduplicate(input.projectPath, { dryRun: false });
647: if (dupes.totalRemoved > 0) {
648: log.info(
649: `post-curation dedup: merged ${dupes.totalRemoved} duplicate entries`,
650: );
651: ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
925: workerID: "lore-curator",
926: thinking: false,
927: sessionID: input.sessionID,
928: maxTokens: 4096,
929: temperature: 0,
930: },
931: );
932: if (!responseText) return { updated: 0, deleted: 0 };
933:
934: const ops = parseOps(responseText);
935: const result = applyOps(ops, {
936: projectPath: input.projectPath,
937: sessionID: input.sessionID,
938: skipCreate: true, // Consolidation must not add entries.
939: });
940:
941: return { updated: result.updated, deleted: result.deleted };
942: }
(End of file - total 942 lines)
</content>
There are two applyOps call sites:
runInner() - the live curator - needs workerModel: input.modelconsolidate() - the consolidation flow - should also get the model (it uses the same input.model from the function signature)Let me check the consolidate() function signature first to confirm.
(no output)
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
855: * Only "update" and "delete" ops are applied — consolidation never creates entries.
856: */
857: export async function consolidate(input: {
858: llm: LLMClient;
859: projectPath: string;
860: sessionID: string;
861: model?: { providerID: string; modelID: string };
862: }): Promise<{ updated: number; deleted: number }> {
863: const cfg = config();
864: if (!cfg.curator.enabled) return { updated: 0, deleted: 0 };
865:
866: // Intentionally excludes cross-project entries (includeCross=false).
867: // Consolidation should only merge/trim project-scoped entries — cross-project
868: // entries are shared and should not be deleted by a single project's consolidation.
869: const entries = ltm.forProject(input.projectPath, false);
870: if (entries.length <= cfg.curator.maxEntries)
871: return { ...
consolidate() takes input.model as well. The applyOps call at line 935 in consolidate only does update and delete ops, so attribution doesn't apply. But for consistency, I should pass it through anyway (no-op for the update/delete paths).
Let me update both call sites.
Edit applied successfully.
Edit applied successfully.
Now let me run a typecheck on core to make sure everything I've changed is valid. But first, let me also check the other ltm.create calls in curator for entity creation, which I also saw earlier.
277: const id = ltm.create({
$ pnpm -r run typecheck Scope: 5 of 6 workspace projects packages/core typecheck$ tsc --noEmit packages/core typecheck: Done packages/gateway typecheck$ tsc --noEmit packages/gateway typecheck: Done packages/opencode typecheck$ tsc --noEmit packages/pi typecheck$ tsc --noEmit packages/opencode typecheck: Done packages/pi typecheck: Done
Typecheck passes for all 5 packages. Good.
Now let me run the tests for the core package to make sure my changes don't break anything.
(fail) import history > hasAgentImportRecord / recordDecline > listImports still excludes __declined__ sentinels
1422 | // to the default production path, but that's not a realistic scenario.
1423 | if (!process.env.LORE_DB_PATH && /^\/test\//.test(path)) {
1424 | throw new Error(
1425 | `Refusing to create project with test path "${path}" in the production DB. ` +
1426 | `Set LORE_DB_PATH to a temp path, or run tests via \`bun test\` from the repo root.`,
1427 | );
^
error: Refusing to create project with test path "/test/import-per-agent-project" in the production DB. Set LORE_DB_PATH to a temp path, or run tests via `bun test` from the repo root.
at ensureProject (/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/db.ts:1427:5)
at recordDecline ...
The test failures are NOT related to my changes — they're about test preloading and LORE_DB_PATH not being set. This is a pre-existing issue with how I ran the tests (I ran from packages/core instead of from the root). Let me run the tests from the root with the proper setup.
[lore] evicting idle session subagent-old (subagent) (idle 6m) [lore] evicting idle session subagent (subagent) (idle 3m) [lore] evicting idle session sess-0 (idle 33m) [lore] evicting idle session sess-1 (idle 33m) [lore] evicting idle session sess-2 (idle 33m) [lore] evicting idle session sess-3 (idle 33m) [lore] evicting idle session sess-4 (idle 33m) packages/opencode/test/gateway-smoke.test.ts: error: Cannot find module '@loreai/gateway' from '/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/opencode/test/gateway-smoke.test.ts' (fail) in-process gateway startup > startGateway starts the gateway and responds to health checks error: Cannot find module '@loreai/gateway' from '/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/opencode/test/gateway-smoke.test.ts' (fail) in-process gateway startup > startServer with explicit port starts on that port 1686 pass 3 skip 423 fail 4 ...
There are 423 test failures but only 4 are errors. The errors are about a missing @loreai/gateway module which is a workspace configuration issue. The 423 failures are likely related to that too — many tests are failing because the gateway build hasn't been done.
Let me see what the specific failures are. Most are likely the cascade from the missing module. Let me check.
(fail) parseEntriesFromSection > extracts entries with UUIDv7 markers [5.00ms] (fail) parseEntriesFromSection > extracts hand-written entries without markers (no id) (fail) parseEntriesFromSection > handles mixed marked and unmarked entries (fail) parseEntriesFromSection > returns empty array for empty section [1.00ms] (fail) parseEntriesFromSection > ignores malformed marker lines (not valid UUID format) (fail) parseEntriesFromSection > deduplicates same UUID appearing twice — keeps first occurrence (fail) exportToFile > creates AGENTS.md with pointer and .lore.md with entries (fail) exportToFile > .lore.md includes <!-- lore:UUID --> marker before each entry (fail) exportToFile > replaces lore section on subsequent export, preserves non-lore content (fail) exportToFile > appends lore section when file exists without markers (fail) exportToFile > writes pointer in agents file even when there are no knowledge entries (fail) exportToFile > .lore.md writes entries sorted by category ...
These test failures are not from my changes — they're from parseEntriesFromSection and exportToFile which deal with agents-file.ts and ltm.ts tests. Let me check if these tests were failing BEFORE my changes by looking at git status and running them on main.
Actually, let me first run just the tests that exercise the files I changed to make sure my changes work.
1041 | );
^
error: LORE_DB_PATH is not set but NODE_ENV=test. Run tests via `bun test` from the repo root, or set LORE_DB_PATH to a temp path to avoid polluting the production DB.
at db (/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/db.ts:1041:7)
at <anonymous> (/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/test/ltm.test.ts:1495:5)
1496 | db().query("DELETE FROM knowledge").run();
1497 | availableSpy = vi.spyOn(embedding, "isAvailable").mockReturnValue(true);
1498 | });
1499 |
1500 | afterEach(() => {
1501 | availableSpy.mockRestore();
^
TypeError: undefined is not an object (evaluating 'availableSpy.mockRestore')
at <anonymous> (/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/test/ltm.test.ts:1501:5)
(fail) ltm — cross-project promotion > ...
The tests are not finding LORE_DB_PATH because the test setup isn't being applied. Let me check the bunfig.toml to see what preload is expected.
cat: bunfig.toml: No such file or directory
packages/core/test/setup.ts
There's no bunfig.toml and the test setup file exists. The setup must be auto-applied via test field in package.json. Let me check.
(no output)
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/test/setup.ts</path>
<type>file</type>
<content>
1: import { mkdtempSync, rmSync } from "node:fs";
2: import { join } from "node:path";
3: import { tmpdir } from "node:os";
4: import { afterAll } from "vitest";
5: import { close } from "../src/db";
6:
7: // Create an isolated temporary database for the entire test run.
8: // This prevents test fixtures from leaking into the live lore DB
9: // at ~/.local/share/lore/lore.db.
10: const tmp = mkdtempSync(join(tmpdir(), "lore-test-"));
11: process.env.LORE_DB_PATH = join(tmp, "test.db");
12:
13: // ---------------------------------------------------------------------------
14: // Block live network to models.dev during tests.
15: //
16: // `fetchModelData()` (gateway/src/worker-model.ts) hits
17: // https://models.dev/api.json to pull pricing/limits, and the gateway
18: // pre-warms it on startup (pipeline.ts). ...
The setup file uses vitest! It's import { afterAll } from "vitest". So this is a vitest-based test suite, not bun's built-in test runner. The tests use vitest conventions (vi.spyOn, etc.).
Looking at the AGENTS.md preference about removing bunfig.toml: "Applies to: bunfig.toml after vitest migration". So they migrated to vitest. Let me check how tests are run.
{
"name": "@loreai/core",
"version": "0.24.1",
"type": "module",
"license": "FSL-1.1-Apache-2.0",
"description": "Shared memory engine for Lore — three-tier storage, distillation, gradient context management",
"main": "./dist/node/index.js",
"types": "./dist/node/index.d.ts",
"exports": {
".": {
"types": "./dist/types/index.d.ts",
"bun": "./dist/bun/index.js",
"default": "./dist/node/index.js"
}
},
"imports": {
"#db/driver": {
"bun": "./src/db/driver.bun.ts",
"default": "./src/db/driver.node.ts"
}
},
"scripts": {
"typecheck": "tsc --noEmit",
"build": "tsx script/build.ts"
},
"dependencies": {
"@huggingface/hub": "2.11.0",
"@huggingface/transformers": "^3.7.1",
"micromark": "^4.0.0",
"p-limit": "7",
"remark": "^15.0.1",
"uuidv7": "^1.1.0",
"zod": "^4.3.6"
},
"devDependencies": {
"@types/mdast": "^4.0.4"
},
"files": [
"src/",
"dist/",
"README.md",
...
There's no test script in packages/core/package.json! But the tests are using vitest. Let me check the root package.json.
{
"name": "lore-monorepo",
"private": true,
"type": "module",
"license": "FSL-1.1-Apache-2.0",
"description": "Monorepo root for Lore — three-tier memory architecture",
"main": "./packages/opencode/src/index.ts",
"exports": {
".": "./packages/opencode/src/index.ts"
},
"packageManager": "pnpm@10.28.0",
"pnpm": {
"onlyBuiltDependencies": [
"esbuild",
"sharp"
]
},
"scripts": {
"typecheck": "pnpm -r run typecheck",
"test": "vitest run",
"pretest": "pnpm --filter @loreai/gateway run bundle",
"build": "pnpm -r run build",
"site:dev": "pnpm --filter '@loreai/website' dev",
"site:build": "pnpm --filter '@loreai/website' build",
"site:preview": "pnpm --filter '@loreai/website' preview",
"lint": "biome check .",
"lint:fix": "biome check --write .",
"format": "biome format --write .",
"evals": "vitest run --config vitest.evals.config.ts",
"postinstall": "pnpm --filter @loreai/gateway run build"
},
...
./vitest.config.ts
OK so the test runner is vitest run from the root. The pretest hook bundles the gateway. Let me run the proper test command.
(Use `node --trace-warnings ...` to show where the warning was created) (node:1372925) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1372925) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1372925) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1372925) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1372925) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1372925) ExperimentalWarning: SQLite is an experimental feature ...
Only 1 test failure — the schema version test expects 34 but the actual version is now 35 (because I added a new migration). This is the test I need to update. Let me find it and fix.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/test/db.test.ts</path>
<type>file</type>
<content>
40: expect(names).toContain("knowledge");
41: expect(names).toContain("schema_version");
42: expect(names).toContain("session_state");
43: expect(names).toContain("metadata");
44: expect(names).toContain("import_history");
45: expect(names).toContain("tool_calls");
46: });
47:
48: test("schema version is set", () => {
49: const row = db().query("SELECT version FROM schema_version").get() as {
50: version: number;
51: };
52: expect(row.version).toBe(34);
53: });
54:
(Showing lines 40-54 of 1304. Use offset=55 to continue.)
</content>
Edit applied successfully.
Let me also check if there's a similar test for the recovery code that might need updating. Let me also search for other tests that might depend on the specific number of columns or assert on a specific schema.
packages/core/src/db.ts:1262: .query("PRAGMA table_info(distillations)")
(Use `node --trace-warnings ...` to show where the warning was created)
(node:1374817) ExperimentalWarning: SQLite is an experimental feature and might change at any time
(Use `node --trace-warnings ...` to show where the warning was created)
·············
Test Files 82 passed (82)
Tests 2287 passed (2287)
Start at 22:29:25
Duration 95.15s (transform 28.80s, setup 13.14s, import 78.64s, tests 124.81s, environment 32ms)
All 2287 tests pass. Schema migration is complete and the source attribution is wired up. Let me also run lint to make sure.
1274 1274 │ for (const col of ["worker_provider_id", "worker_model_id"]) {
1275 1275 │ if (!tcols.some((c) => c.name === col)) {
packages/core/src/ltm.ts format ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
× Formatter would have printed the following content:
1082 1082 │ "SELECT worker_provider_id, worker_model_id FROM knowledge WHERE id = ?",
1083 1083 │ )
1084 │ - ····.get(id)·as
1085 │ - ····|·{·worker_provider_id:·string·|·null;·worker_model_id:·string·|·null·}
1086 │ - ····|·null;
1084 │ + ····.get(id)·as·{
1085 │ + ····worker_provider_id:·string·|·null;
1086 │ + ····worker_model_id:·string·|·null;
1087 │ + ··}·|·null;
1087 1088 │ if (!row || !row.worker_provider_id || !row.worker_model_id) return null;
1088 1089 │ return {
Checked 255 files in 2s. No fixes applied.
Found 2 errors.
Found 16 warnings. ...
101 │ db.close(); i any disables many type checking rules. Its use should be avoided. Skipped 2 suggested fixes. If you wish to apply the suggested (unsafe) fixes, use the command biome check --write --unsafe Checked 255 files in 6s. Fixed 2 files. Found 16 warnings.
> 99 │ return stmt.all(...((params ?? []) as any)) as T[];
│ ^^^
100 │ } finally {
101 │ db.close();
i any disables many type checking rules. Its use should be avoided.
Checked 255 files in 3s. No fixes applied.
Found 16 warnings.
Lint is now clean — only pre-existing warnings remain (the as any ones in other files are not from my changes). Let me update todos and move to the next step: source attribution unit tests.
Actually, the user might want me to skip ahead. Let me also quickly verify the new migration works on a real DB. The test passes (2287/2287), which means the migration applies cleanly. Good.
Now let me add unit tests for source attribution specifically, then move to the worker health module.
[
{
"content": "Source attribution: add migration for worker_provider_id/worker_model_id on distillations + knowledge",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: extend ltm.create input + INSERT to include worker attribution",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: wire input.model through distillSegment + metaDistillInner to insertDistillation",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: pass input.model through curator.runInner -> applyOps -> ltm.create",
"status": "completed",
"priority": "high"
},
{
"content": "Tests: source attribution unit tests",
"status": "in_progress",
"priority": "high"
},
{
"content": "Worker health: create packages/gateway/src/worker-health.ts module",
"status": "pending",
"priority": "high"
},
{
"content": "Worker health: wire ...
Let me write unit tests for the source attribution. I'll add a new test file worker-attribution.test.ts to packages/core/test/. I need to check the existing test patterns to mimic them.
agents-file.test.ts config.test.ts context-health.test.ts data-dir.test.ts db.test.ts dedup.test.ts distillation.test.ts embedding.test.ts embedding-vendor.test.ts entities.test.ts entity-dedup.test.ts fixtures git.test.ts gradient-reasoning.test.ts gradient.test.ts hosted.test.ts import instruction-detect.test.ts integrity.test.ts knowledge-transfers.test.ts
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/test/ltm.test.ts</path>
<type>file</type>
<content>
1: import {
2: describe,
3: test,
4: expect,
5: beforeAll,
6: beforeEach,
7: afterEach,
8: vi,
9: } from "vitest";
10: import { uuidv7 } from "uuidv7";
11: import { db, ensureProject } from "../src/db";
12: import * as ltm from "../src/ltm";
13: import * as embedding from "../src/embedding";
14:
15: // UUID v7 pattern: starts with version nibble 7, variant bits 10xxxxxx
16: const UUID_V7_RE =
17: /^[0-9a-f]{8}-[0-9a-f]{4}-7[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/;
18: const _UUID_RE =
19: /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/;
20:
21: const PROJECT = "/test/ltm/project";
22:
23: describe("ltm", () => {
24: test("create and retrieve knowledge entry", () => {
25: const id = ltm.create({
26: projectPath: PROJECT,
27: category: "decision",
28: title: ...
Good, I can see the test pattern. Let me write a focused test file for the source attribution feature. I'll add it to the existing ltm.test.ts to keep it close to the code it tests.
23:describe("ltm", () => {
115: describe("search: FTS sanitization and fallback", () => {
171: describe("search: BM25 ranking", () => {
208:describe("ltm — crossProject defaults and dedup", () => {
281:describe("ltm — UUIDv7 IDs", () => {
381:describe("ltm.forSession", () => {
874:describe("ltm.pruneOversized", () => {
940:describe("ltm.create confidence", () => {
991:describe("preference-only forSession fast path", () => {
1164:describe("curator applyOps confidence", () => {
Let me add a new test describe block for source attribution in ltm.test.ts. I'll add it after the last describe block.
Actually, the better approach is to add a separate test file worker-attribution.test.ts since this is a new feature. Let me look at how the existing test files are structured.
Wrote file successfully.
RUN v4.1.8 /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf
(node:1377399) ExperimentalWarning: SQLite is an experimental feature and might change at any time
(Use `node --trace-warnings ...` to show where the warning was created)
Test Files 1 passed (1)
Tests 10 passed (10)
Start at 22:33:11
Duration 3.71s (transform 1.23s, setup 492ms, import 1.65s, tests 1.03s, environment 0ms)
All 10 attribution tests pass. Now let me move to the worker health module. This is the more complex piece.
Let me design the worker-health.ts module first. I'll think about:
I'll put it in packages/gateway/src/worker-health.ts since the plan calls for it. The escalation ladder:
Let me write it.
[
{
"content": "Source attribution: add migration for worker_provider_id/worker_model_id on distillations + knowledge",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: extend ltm.create input + INSERT to include worker attribution",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: wire input.model through distillSegment + metaDistillInner to insertDistillation",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: pass input.model through curator.runInner -> applyOps -> ltm.create",
"status": "completed",
"priority": "high"
},
{
"content": "Tests: source attribution unit tests",
"status": "completed",
"priority": "high"
},
{
"content": "Worker health: create packages/gateway/src/worker-health.ts module",
"status": "in_progress",
"priority": "high"
},
{
"content": "Worker health: wire ...
Now let me look at the existing gateway structure to understand what infrastructure exists (Sentry import, log, etc.) before writing worker-health.ts.
packages/gateway/src/sentry.ts:9:import * as Sentry from "@sentry/bun"; packages/gateway/src/pipeline.ts:166:import * as Sentry from "@sentry/bun"; packages/gateway/src/llm-adapter.ts:24:import * as Sentry from "@sentry/bun"; packages/gateway/src/batch-queue.ts:29:import * as Sentry from "@sentry/bun"; packages/gateway/src/idle.ts:51:import * as Sentry from "@sentry/bun";
23:import { log } from "@loreai/core";
ls: cannot access 'packages/gateway/src/instrument.ts': No such file or directory
Now let me check what's in sentry.ts and the log interface.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/sentry.ts</path>
<type>file</type>
<content>
1: /**
2: * Sentry scope enrichment and metrics helpers for the Lore gateway.
3: *
4: * All functions are no-ops when Sentry is not initialized (dev mode).
5: * No request/response content is ever captured — we're a proxy sitting
6: * in front of other people's projects and conversations.
7: */
8:
9: import * as Sentry from "@sentry/bun";
10: import { getInstanceId } from "@loreai/core";
11: import { createHash } from "node:crypto";
12:
13: // ---------------------------------------------------------------------------
14: // Scope enrichment
15: // ---------------------------------------------------------------------------
16:
17: /**
18: * Configure Sentry scope for a gateway request.
19: *
20: * Sets user identity, tags, and conversation ID. ...
I have a good understanding of the patterns. Let me also check how Sentry.isInitialized() and Sentry.metrics.count are used elsewhere.
Now let me write the worker-health module. Key considerations:
packages/gateway/src/worker-health.tsLet me also think about thread safety — in a Node.js single-threaded model, we don't need locks, but we do need atomic updates. JavaScript event loop guarantees that. Good.
For testability, I'll export pure functions and inject time + Sentry as parameters via a factory.
Wrote file successfully.
Now let me run the typecheck to make sure the new module compiles.
> @loreai/gateway@0.24.1 typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway > tsc --noEmit
Typecheck passes. Now let me wire up the worker health into:
llm-adapter.ts (no-auth, protocol-mismatch, upstream-error)cache-warmer.ts (no-auth, auth-rejected)distillation.ts and curator.ts (no-response) - via input callbackpipeline.ts (construct adapter, pass to distillation/curator runs)Let me first look at the relevant lines in llm-adapter.ts.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
395: defaultModel: { providerID: string; modelID: string },
396: opts?: { dedicatedWorkerKey?: boolean },
397: ): LLMClient {
398: const hasDedicatedKey = opts?.dedicatedWorkerKey === true;
399: return {
400: async prompt(system, user, opts) {
401: const model = opts?.model ?? defaultModel;
402: const cred = getAuth(opts?.sessionID, model.providerID);
403: if (!cred) {
404: log.warn("no auth credentials available for worker call");
405: return null;
406: }
407: const upstreamOverride = opts?.upstreamUrl;
408: const protocol = resolveWorkerProtocol(model.providerID, opts?.protocol);
409: const target = resolveTarget(upstreams, protocol, upstreamOverride);
410: const maxTokens = opts?.maxTokens ?? ...
Now let me also look at the upstream error path (line 659 area) to see what context is there.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
650: );
651: span.setStatus({
652: code: 2,
653: message: `HTTP ${response.status} auth`,
654: });
655: return null;
656: }
657:
658: // Non-transient error — fail immediately, no retry
659: if (!TRANSIENT_CODES.has(response.status)) {
660: const text = await response.text().catch(() => "(no body)");
661: log.error(
662: `worker upstream request failed: ${response.status} ${response.statusText} — ${text}`,
663: );
664: span.setStatus({ code: 2, message: `HTTP ${response.status}` });
665: return null;
666: }
667:
668: // Transient error — retry if ...
Good. Now I need to:
recordWorkerFailure calls at the three failure pathsrecordWorkerFailure calls at the two failure pathsLet me do this now. The workerID from the call site is in opts.workerID (already there). The sessionID is in opts.sessionID. Both are available at all the failure sites.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
22: import type { LLMClient } from "@loreai/core";
23: import { log } from "@loreai/core";
24: import * as Sentry from "@sentry/bun";
25: import type { AuthCredential } from "./auth";
26: import { authHeaders, markAuthStale } from "./auth";
27: import { tripCircuitBreaker } from "./background-limiter";
28: import { resolveProviderRoute } from "./config";
29: import { buildBillingBlock, buildOAuthWorkerHeaders, signBody } from "./cch";
30: import {
31: setGenAiUsageAttributes,
32: emitCostMetric,
33: type AnthropicUsage,
34: } from "./sentry";
35: import { recordWorkerCost } from "./cost-tracker";
36: import { upstreamFetch } from "./fetch";
37:
38: // ---------------------------------------------------------------------------
39: // Worker call tracking
40: // ...
Edit applied successfully.
Now I need to look at the opts type to see what fields it has, and figure out the mapping from opts.workerID (which is a string) to my WorkerID type. Let me also look at how the call sites set opts.workerID.
430: `worker protocol mismatch: ${target.protocol} target with non-Anthropic API key — skipping (model=${model.modelID}, worker=${opts?.workerID ?? "unknown"})`,
436: `worker protocol mismatch: ${target.protocol} target with Anthropic API key — skipping (model=${model.modelID}, worker=${opts?.workerID ?? "unknown"})`,
482: "lore.worker_id": opts?.workerID ?? "unknown",
569: opts?.workerID,
649: workerID: opts?.workerID ?? "unknown",
730: workerID: opts?.workerID ?? "unknown",
packages/gateway/src/worker-health.ts:148: workerID: WorkerID, packages/core/src/search.ts:417: workerID: "lore-query-expand", packages/gateway/src/batch-queue.ts:1002: workerID: item.workerID, packages/gateway/src/batch-queue.ts:1104: workerID: opts?.workerID, packages/gateway/src/pipeline.ts:3254: workerID: "lore-compact", packages/core/src/pattern-echo.ts:166: workerID: "lore-pattern-echo", packages/gateway/src/llm-adapter.ts:649: workerID: opts?.workerID ?? "unknown", packages/gateway/src/llm-adapter.ts:730: workerID: opts?.workerID ?? "unknown", packages/core/src/distillation.ts:1005: workerID: "lore-distill", packages/core/src/distillation.ts:1266: workerID: "lore-distill", packages/core/src/curator.ts:603: workerID: "lore-curator", packages/core/src/curator.ts:926: workerID: "lore-curator", packages/core/src/import/extract.ts:105: workerID: "lore-import",
The opts.workerID is a string. I need to cast/validate it to my WorkerID type. Let me add a small helper function that does this safely. Then update the three failure sites.
Actually, looking at the values, the workerID strings come from a fixed set: lore-distill, lore-curator, lore-pattern-echo, lore-query-expand, cache-warmer, lore-import, lore-compact, etc. Not all of these are in my WorkerID type. Let me extend the type or add a "fallback" option.
Looking at this practically — the WorkerID type is mainly used for grouping and Sentry tags. The actual failure tracking is by WorkerID | string. Let me allow any string but treat known ones specially. Or I can just use the string as-is.
Let me make the type more permissive — accept any string but document the canonical set. Actually, the cleaner approach: extend WorkerID to include all known worker IDs. ...
-0, --null Print a NUL byte after file paths. -A, --after-context=NUM Show NUM lines after each match. Andrew Gallant <jamslam@gmail.com> a regex pattern. By default, ripgrep will respect gitignore rules and -a, --text Search binary files as if they were text. --auto-hybrid-regex (DEPRECATED) Use PCRE2 if appropriate. automatically skip hidden files/directories and binary files. -B, --before-context=NUM Show NUM lines before each match. -b, --byte-offset Print the byte offset for each matching line. --binary Search binary files. --block-buffered Force block buffering. -C, --context=NUM Show NUM lines before and after each match. -c, --count Show count of matching lines for each file. --colors=COLOR_SPEC Configure color settings and styles. --color=WHEN When to use color. ...
lore-compact lore-curator lore-distill lore-import lore-pattern-echo lore-query-expand
OK so the actual worker IDs in use are:
lore-compact (compaction, gateway-only)lore-curatorlore-distilllore-import (import, gateway-only)lore-pattern-echolore-query-expandAnd cache-warmer (separate code path, not via llm-adapter.prompt).
Let me update the WorkerID type to include all of these. Then in llm-adapter, I'll cast opts.workerID to WorkerID since it's already one of these strings.
Edit applied successfully.
Now let me update the three failure sites in llm-adapter.ts. I need to:
recordWorkerFailurerecordWorkerFailurerecordWorkerFailurerecordWorkerSuccessThe opts.workerID is a string. I'll cast it to WorkerID since the LLM adapter only sees known values (passed in by the call sites).
For the success case, I need to find where the prompt function returns successfully. Let me look at the end of the function.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
715: new Error(
716: `Worker upstream exhausted ${maxRetries + 1} retries: ${response.status} ${response.statusText}`,
717: ),
718: {
719: fingerprint: [
720: "LOREAI-GATEWAY",
721: "worker-retry-exhausted",
722: String(response.status),
723: ],
724: extra: {
725: status: response.status,
726: attempts: maxRetries + 1,
727: totalDelayMs,
728: lastRetryAfterMs,
729: model: model.modelID,
730: workerID: opts?.workerID ?? ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
490: let totalDelayMs = 0;
491: let lastRetryAfterMs: number | null = null;
492: let finalStatus = 0;
493:
494: // Retry loop for transient errors (429, 5xx)
495: for (let attempt = 0; ; attempt++) {
496: let response: Response;
497: try {
498: response = await upstreamFetch(req.url, {
499: method: "POST",
500: headers: req.headers,
501: // opts.thinking is intentionally not forwarded — this bare API
502: // call never includes the `thinking` parameter so models
503: // won't produce thinking tokens regardless.
504: body: req.body,
505: });
506: } catch (e) {
507: ...
Let me find where the function returns successfully (returns responseText or similar). Let me look at the part after the retry loop.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
478: attributes: {
479: "gen_ai.operation.name": "chat",
480: "gen_ai.request.model": model.modelID,
481: "gen_ai.provider.name": target.providerName,
482: "lore.worker_id": opts?.workerID ?? "unknown",
483: "lore.call_type": "direct",
484: "lore.urgent": urgent,
485: },
486: },
487: async (span) => {
488: // Track retry metrics for span enrichment
489: let retryCount = 0;
490: let totalDelayMs = 0;
491: let lastRetryAfterMs: number | null = null;
492: let finalStatus = 0;
493:
494: // Retry loop for transient errors (429, 5xx)
495: for (let attempt = 0; ; attempt++) {
496: let response: ...
Let me look at the end of the prompt function to find where it returns the response.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
460: maxTokens,
461: opts?.sessionID,
462: opts?.temperature,
463: );
464:
465: // Track this call so temporal capture can skip it
466: const callID = `gw-worker-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
467: activeWorkerCalls.add(callID);
468:
469: const urgent = opts?.urgent === true;
470:
471: try {
472: // Wrap the entire retry loop in a gen_ai.chat span so it captures
473: // real wall-clock duration including retries and backoff delays.
474: return await Sentry.startSpan(
475: {
476: op: "gen_ai.chat",
477: name: `chat ${model.modelID}`,
478: attributes: {
479: "gen_ai.operation.name": "chat",
480: ...
(no output)
(no output)
410: return null; 432: return null; 438: return null; 474: return await Sentry.startSpan( 530: // Guard: some providers return SSE even when stream: false 586: return parsed.text; 660: return null; 670: return null; 746: return null; 752: return null;
Let me see the success path at line 586.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
580: lastRetryAfterMs,
581: );
582: }
583: span.setAttribute("lore.retry.final_status", finalStatus);
584: }
585:
586: return parsed.text;
587: }
588:
589: // --- Auth error: 401/403 — mark stale, re-resolve, retry once ---
(Showing lines 580-589 of 758. Use offset=590 to continue.)
</content>
So return parsed.text at line 586 is the success path. But this returns inside the Sentry.startSpan callback which itself is returned by the prompt function. So I can hook the success path before returning at line 752 (the catch block) or at the top of the function on the line before the return await Sentry.startSpan(...).
Actually, the cleanest way: add the success call right before the return on line 474, and the failure calls in their respective spots.
But wait — the success path returns the parsed.text. The Sentry.startSpan callback returns parsed.text. Then the outer prompt returns that. So I should add the success call just before return parsed.text on line 586, or before the outer return await Sentry.startSpan(...) on line 474.
Let me just add it right after the return parsed.text would normally be — but I can't add a statement after a return. So I need to add it just before, capturing the result. ...
Edit applied successfully.
Now let me update the three failure sites and one success site in llm-adapter.ts. I'll use as WorkerID for the cast since the string is always one of the known values.
Wait, the type is now WorkerID | string so no cast is needed.
Let me make the edits.
Edit applied successfully.
Edit applied successfully.
Edit applied successfully.
Now I need to add recordWorkerSuccess on the success path at line 586. Let me look at the current line number after my edits.
601: return parsed.text;
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
595: lastRetryAfterMs,
596: );
597: }
598: span.setAttribute("lore.retry.final_status", finalStatus);
599: }
600:
601: return parsed.text;
602: }
603:
604: // --- Auth error: 401/403 — mark stale, re-resolve, retry once ---
605: if (AUTH_ERROR_CODES.has(response.status)) {
606: const text = await response.text().catch(() => "(no body)");
607:
608: // Mark session credential stale so resolveAuth() falls through to global
609: if (opts?.sessionID) {
(Showing lines 595-609 of 778. Use offset=610 to continue.)
</content>
Edit applied successfully.
Now let me also wire up the auth error path (line 605+), where 401/403 is observed. The existing code calls markAuthStale, which is the right thing to do. I should also add a recordWorkerFailure call with reason "auth-rejected".
Let me also add the typecheck pass. But first let me do cache-warmer and the rest.
Edit applied successfully.
Wait, this edit removed the { open brace. Let me re-read the file to check.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
608: // --- Auth error: 401/403 — mark stale, re-resolve, retry once ---
609: if (AUTH_ERROR_CODES.has(response.status)) {
610: const text = await response.text().catch(() => "(no body)");
611:
612: // Mark session credential stale so resolveAuth() falls through to global
613: if (opts?.sessionID) {
614: recordWorkerFailure(
615: opts.sessionID,
616: opts?.workerID ?? "unknown",
617: "auth-rejected",
618: );
619: }
620: markAuthStale(opts.sessionID);
621: }
622:
623: // Re-resolve: credential may have been refreshed by a concurrent client request
624: const freshCred ...
I have a duplicate } at line 619-621. The original code was:
if (opts?.sessionID) {
markAuthStale(opts.sessionID);
}
My edit changed it to:
if (opts?.sessionID) {
recordWorkerFailure(...)
}
markAuthStale(opts.sessionID);
}
Now there's a double }. Let me fix this by removing the orphan } and indenting properly.
Edit applied successfully.
Let me run the typecheck to verify my changes compile correctly.
> @loreai/gateway@0.24.1 typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway > tsc --noEmit src/worker-health.ts(179,23): error TS2345: Argument of type 'string' is not assignable to parameter of type 'WorkerID'. /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway: ERR_PNPM_RECURSIVE_RUN_FIRST_FAIL @loreai/gateway@0.24.1 typecheck: `tsc --noEmit` Exit status 2
There's still a type error in worker-health.ts at line 179. Let me look at it.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/worker-health.ts</path>
<type>file</type>
<content>
175:
176: entry.failureCount++;
177: entry.lastFailureAt = t;
178: entry.reasons.add(reason);
179: entry.workerIDs.add(workerID);
180:
181: // First 1-2 failures: silent at the warn level. This preserves the
182: // existing behavior for transient errors (OAuth refresh, momentary 429).
183: if (entry.failureCount < DEGRADED_THRESHOLD) {
184: log.warn(
(Showing lines 175-184 of 415. Use offset=185 to continue.)
</content>
The entry.workerIDs is Set<WorkerID> but I'm passing WorkerID | string. Let me fix the type.
Edit applied successfully.
> @loreai/gateway@0.24.1 typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway > tsc --noEmit src/worker-health.ts(359,7): error TS2322: Type 'string[]' is not assignable to type 'WorkerID[]'. Type 'string' is not assignable to type 'WorkerID'. /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway: ERR_PNPM_RECURSIVE_RUN_FIRST_FAIL @loreai/gateway@0.24.1 typecheck: `tsc --noEmit` Exit status 2
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/worker-health.ts</path> <type>file</type> <content> 355: firstFailureAt: entry.firstFailureAt, 356: lastFailureAt: entry.lastFailureAt, 357: sustainedMs, 358: reasons: [...entry.reasons], 359: workerIDs: [...entry.workerIDs], 360: warning: getDegradationWarning(entry.sessionID), 361: }); 362: } 363: return result; 364: } (Showing lines 355-364 of 415. Use offset=365 to continue.) </content>
The result type has workerIDs: WorkerID[] but I'm now spreading Set<WorkerID | string>. Let me fix the result type to allow strings.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/worker-health.ts</path>
<type>file</type>
<content>
320: */
321: export function getWorkerHealth(): Array<{
322: sessionID: string;
323: status: WorkerHealthStatus;
324: failureCount: number;
325: firstFailureAt: number;
326: lastFailureAt: number;
327: sustainedMs: number;
328: reasons: FailureReason[];
329: workerIDs: WorkerID[];
330: warning: string | null;
331: }> {
332: const t = now();
333: const result: Array<{
334: sessionID: string;
335: status: WorkerHealthStatus;
336: failureCount: number;
337: firstFailureAt: number;
338: lastFailureAt: number;
339: sustainedMs: number;
(Showing lines 320-339 of 415. Use offset=340 to continue.)
</content>
Edit applied successfully.
> @loreai/gateway@0.24.1 typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway > tsc --noEmit
Typecheck passes. Now let me wire up cache-warmer.ts.
[
{
"content": "Source attribution: add migration for worker_provider_id/worker_model_id on distillations + knowledge",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: extend ltm.create input + INSERT to include worker attribution",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: wire input.model through distillSegment + metaDistillInner to insertDistillation",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: pass input.model through curator.runInner -> applyOps -> ltm.create",
"status": "completed",
"priority": "high"
},
{
"content": "Tests: source attribution unit tests",
"status": "completed",
"priority": "high"
},
{
"content": "Worker health: create packages/gateway/src/worker-health.ts module",
"status": "completed",
"priority": "high"
},
{
"content": "Worker health: wire ...
40:import { resolveAuth, authHeaders, markAuthStale } from "./auth";
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/cache-warmer.ts</path>
<type>file</type>
<content>
36: WarmupResult,
37: SessionState,
38: } from "./translate/types";
39: import { decompressBody } from "./cache-analytics";
40: import { resolveAuth, authHeaders, markAuthStale } from "./auth";
41: import { resignBody } from "./cch";
42: import { resolveUpstreamRoute } from "./config";
43: import { getModelEntrySync } from "./worker-model";
44: import { recordWarmupCost } from "./cost-tracker";
45: import { upstreamFetch } from "./fetch";
(Showing lines 36-45 of 1658. Use offset=46 to continue.)
</content>
Edit applied successfully.
Edit applied successfully.
Edit applied successfully.
> @loreai/gateway@0.24.1 typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway > tsc --noEmit
Typecheck passes. Now I need to thread the workerHealth adapter into distillation.run and curator.run via the input. This is the trickier part because:
pipeline.ts)distillation.ts and curator.ts need to accept it as an optional inputPer the plan, the cleanest interface is to add an optional workerHealth field to the input of distillation.run() and curator.run() and curator.consolidate(). The core calls workerHealth?.recordFailure(reason) when the LLM call returns null.
Let me look at the distillation.run and curator.run input types to add this.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
810: )
811: .run(...chunk);
812: }
813: return orphans.length;
814: }
815:
816: // Main distillation entry point — called on session.idle or when urgent.
817: // Serialized per session via p-limit(1) to prevent concurrent runs from
818: // reading the same undistilled messages and producing duplicate rows.
819: export async function run(input: {
820: llm: LLMClient;
821: projectPath: string;
822: sessionID: string;
823: model?: { providerID: string; modelID: string };
824: force?: boolean;
825: skipMeta?: boolean;
826: urgent?: boolean;
827: callType?: "batch" | "direct";
828: /** Override the meta-distillation gen-0 threshold. When set, meta-distillation
829: * triggers at this count instead of `cfg.distillation.metaThreshold`. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
836: async function runInner(input: {
837: llm: LLMClient;
838: projectPath: string;
839: sessionID: string;
840: model?: { providerID: string; modelID: string };
841: /** Skip minMessages threshold check — distill whatever is pending */
842: force?: boolean;
843: /** Skip meta-distillation even when gen-0 count exceeds the threshold.
844: * Used when the upstream prompt cache is likely still warm — meta-distillation
845: * rewrites distillation row IDs, which invalidates the distilled prefix cache
846: * and causes a cache bust on the next turn. Callers should set this to true
847: * when `Date.now() - getLastTurnAt(sessionID) < cacheTTL`. */
848: skipMeta?: boolean;
849: /** When true, all LLM calls in this run are marked urgent and bypass the
850: * batch queue (if one is ...
Both run() and runInner() have a similar input type. I need to add workerHealth to both. Let me find a clean way to do this — I'll create a shared type alias.
Actually, let me just add the field inline in both. The same goes for distillSegment and metaDistillInner and runInner — they all need the new field. The cleanest is to define a type alias for the shared bits.
Let me look at the no-response paths to know where to add the recordFailure calls.
packages/core/src/distillation.ts:1013: if (!responseText) return null;
packages/core/src/distillation.ts:1273: if (!responseText) return null;
packages/core/src/curator.ts:933: if (!responseText) return { updated: 0, deleted: 0 };
There's a 3rd no-response path in curator that I missed earlier. Let me look at it and the existing 3 paths. Note: runInner in distillation does NOT have a direct no-response path — it calls distillSegment which has the path. Let me verify.
Looking at the file structure, distillSegment (around line 1013) is called by runInner, and the if (!responseText) return null; at line 1013 is in distillSegment. Same for line 1273 which is in metaDistillInner. The curator line 933 is in consolidate (I think).
So I need to add recordWorkerFailure calls in:
distillation.ts:1013 (in distillSegment)distillation.ts:1273 (in metaDistillInner)curator.ts:933 (in consolidate)Plus also at curator.ts:605-612 (in runInner).
Wait, the user-facing path I noticed earlier was curator.runInner around 605-612. Let me check.
packages/core/src/distillation.ts:1013: if (!responseText) return null;
packages/core/src/distillation.ts:1273: if (!responseText) return null;
packages/core/src/curator.ts:609: if (!responseText)
packages/core/src/curator.ts:933: if (!responseText) return { updated: 0, deleted: 0 };
4 no-response paths. Let me now add the workerHealth callback to the input types and call it at these sites. I'll start with the distillation types.
The cleanest approach: define a WorkerHealthHook type in core, and add it as an optional field on each input type. The hook has a recordFailure(reason: string) method.
packages/gateway/src/worker-health.ts:55:export type FailureReason =
The FailureReason type is in the gateway. I need to define a simple string-based hook in core (no dependency on gateway's types). The gateway adapter can map from the core hook's string reason to the gateway's typed FailureReason.
Let me define a WorkerHealthHook type in core (or use a string-based simple type) and add it to the distillation/curator inputs.
Actually, the simplest: just add a recordFailure?: (reason: string) => void field. The core doesn't need to know the canonical reasons — it just signals "I failed" and the gateway decides how to categorize.
Edit applied successfully.
Now let me find the distillSegment and metaDistillInner function signatures and add the same field. And then add the recordFailure calls at the no-response paths.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
956:
957: async function distillSegment(input: {
958: llm: LLMClient;
959: projectPath: string;
960: sessionID: string;
961: messages: TemporalMessage[];
962: model?: { providerID: string; modelID: string };
963: urgent?: boolean;
964: callType?: "batch" | "direct";
965: }): Promise<DistillationResult | null> {
966: const prior = latestObservations(input.projectPath, input.sessionID);
967: const text = messagesToText(input.messages);
968: // Pre-scan for high-priority user assertions that might be lost in a
969: // large segment dominated by routine code or tool output.
970: const assertions = detectAssertions(input.messages);
971: const pinnedAssertions =
972: assertions.length > 0
973: ? assertions.map((a) => `- "${a.text}" (${a.time})`).join("\n")
974: : undefined;
975: if ...
Edit applied successfully.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1204: }
1205:
1206: /**
1207: * Consolidate a session's gen-0 distillation segments into a higher-generation
1208: * meta-distillation. On second-and-later rounds, anchors on the prior meta
1209: * via `<previous-meta-summary>` so the LLM updates in place rather than
1210: * re-deriving from scratch.
1211: *
1212: * Serialized per session via the same p-limit(1) as `run()`. Exported for
1213: * the idle handler which calls metaDistill() independently of run().
1214: */
1215: export async function metaDistill(input: {
1216: llm: LLMClient;
1217: projectPath: string;
1218: sessionID: string;
1219: model?: { providerID: string; modelID: string };
1220: urgent?: boolean;
1221: callType?: "batch" | "direct";
1222: }): Promise<DistillationResult | null> {
1223: return ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1224: }
1225:
1226: async function metaDistillInner(input: {
1227: llm: LLMClient;
1228: projectPath: string;
1229: sessionID: string;
1230: model?: { providerID: string; modelID: string };
1231: urgent?: boolean;
1232: callType?: "batch" | "direct";
1233: }): Promise<DistillationResult | null> {
1234: const existing = loadGen0(input.projectPath, input.sessionID);
1235:
1236: // F2 anchor: when a prior gen>0 meta exists for this session, feed it back
1237: // as <previous-meta-summary> so the LLM updates in place rather than
1238: // re-deriving from scratch. Mirrors upstream OpenCode's <previous-summary>
1239: // anchoring at compaction.ts:121-132. ...
Edit applied successfully.
Now let me find the no-response paths and add the recordFailure calls.
1021: if (!responseText) return null; 1283: if (!responseText) return null;
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path> <type>file</type> <content> 1018: temperature: 0, 1019: }, 1020: ); 1021: if (!responseText) return null; 1022: 1023: const result = parseDistillationResult(responseText); 1024: if (!result) return null; 1025: 1026: // Compute context health metrics before storing. 1027: const distilledTokens = Math.ceil(result.observations.length / 3); (Showing lines 1018-1027 of 1431. Use offset=1028 to continue.) </content>
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path> <type>file</type> <content> 1280: maxTokens, 1281: temperature: 0, 1282: }); 1283: if (!responseText) return null; 1284: 1285: const result = parseDistillationResult(responseText); 1286: if (!result) return null; 1287: 1288: // Store the meta-distillation at generation N+1, where N is the highest 1289: // generation in the merged inputs OR the prior meta's generation, whichever (Showing lines 1280-1289 of 1431. Use offset=1290 to continue.) </content>
Edit applied successfully.
Edit applied successfully.
Now I need to make sure the runInner and metaDistill and metaDistillInner pass workerHealth through to the inner calls. Let me check where distillSegment and metaDistillInner are called.
908: const result = await distillSegment({
937: await metaDistillInner({
957:async function distillSegment(input: {
1219: * the idle handler which calls metaDistill() independently of run().
1221:export async function metaDistill(input: {
1230: return distillLimiter.get(input.sessionID)(() => metaDistillInner(input));
1233:async function metaDistillInner(input: {
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
905: // else: leave undistilled to accumulate with future messages
906: continue;
907: }
908: const result = await distillSegment({
909: llm: input.llm,
910: projectPath: input.projectPath,
911: sessionID: input.sessionID,
912: messages: segment,
913: model: input.model,
914: urgent: input.urgent,
915: callType: input.callType,
916: });
917: if (result) {
918: distilled += segment.length;
919: rounds++;
920: }
921: }
922: }
923:
924: // Check if meta-distillation is needed (skip when cache is warm to avoid
925: // prefix cache invalidation — row IDs change after meta-distill, busting
926: // the prompt cache on the next turn). ...
Edit applied successfully.
Edit applied successfully.
Now let me do the same for the curator — add workerHealth to run() and consolidate() inputs, and call recordFailure at the no-response paths.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
410: if (cached !== undefined) return cached;
411: // Load from DB on first access
412: const persisted = loadSessionTracking(sessionID);
413: const ts = persisted?.lastCuratedAt ?? 0;
414: lastCuratedAt.set(sessionID, ts);
415: return ts;
416: }
417:
418: export async function run(input: {
419: llm: LLMClient;
420: projectPath: string;
421: sessionID: string;
422: model?: { providerID: string; modelID: string };
423: }): Promise<{
424: created: number;
425: updated: number;
426: deleted: number;
427: entitiesCreated: number;
428: relationsCreated: number;
429: }> {
430: const cfg = config();
431: if (!cfg.curator.enabled)
432: return {
433: created: 0,
434: updated: 0,
435: deleted: 0,
436: entitiesCreated: 0,
437: relationsCreated: 0,
438: };
439: ...
Edit applied successfully.
Edit applied successfully.
Now let me find the no-response path in runInner and add the recordFailure call.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
605: const responseText = await input.llm.prompt(CURATOR_SYSTEM, userContent, {
606: model,
607: workerID: "lore-curator",
608: thinking: false,
609: sessionID: input.sessionID,
610: maxTokens: 2048,
611: temperature: 0,
612: });
613: if (!responseText)
614: return {
615: created: 0,
616: updated: 0,
617: deleted: 0,
618: entitiesCreated: 0,
619: relationsCreated: 0,
(Showing lines 605-619 of 948. Use offset=620 to continue.)
</content>
Edit applied successfully.
Now let me also do the same for consolidate().
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
857: * for deletion. Each pass makes progress; the idle scheduler runs subsequent
858: * passes as the count drops (the cooldown tracks entry count and clears when
859: * it changes).
860: *
861: * Only "update" and "delete" ops are applied — consolidation never creates entries.
862: */
863: export async function consolidate(input: {
864: llm: LLMClient;
865: projectPath: string;
866: sessionID: string;
867: model?: { providerID: string; modelID: string };
868: }): Promise<{ updated: number; deleted: number }> {
869: const cfg = config();
870: if (!cfg.curator.enabled) return { updated: 0, deleted: 0 };
871:
872: // Intentionally excludes cross-project entries (includeCross=false). ...
Edit applied successfully.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
933: thinking: false,
934: sessionID: input.sessionID,
935: maxTokens: 4096,
936: temperature: 0,
937: },
938: );
939: if (!responseText) return { updated: 0, deleted: 0 };
940:
941: const ops = parseOps(responseText);
942: const result = applyOps(ops, {
943: projectPath: input.projectPath,
944: sessionID: input.sessionID,
945: skipCreate: true, // Consolidation must not add entries.
946: workerModel: input.model,
947: });
(Showing lines 933-947 of 950. Use offset=948 to continue.)
</content>
Edit applied successfully.
Now let me run the typecheck to verify everything is correct.
> lore-monorepo@ typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf > pnpm -r run typecheck Scope: 5 of 6 workspace projects packages/core typecheck$ tsc --noEmit packages/core typecheck: src/curator.ts(954,1): error TS1005: '}' expected. packages/core typecheck: Failed /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core: ERR_PNPM_RECURSIVE_RUN_FIRST_FAIL @loreai/core@0.24.1 typecheck: `tsc --noEmit` Exit status 2 ELIFECYCLE Command failed with exit code 2.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
945: const result = applyOps(ops, {
946: projectPath: input.projectPath,
947: sessionID: input.sessionID,
948: skipCreate: true, // Consolidation must not add entries.
949: workerModel: input.model,
950: });
951:
952: return { updated: result.updated, deleted: result.deleted };
953: }
(End of file - total 953 lines)
</content>
The end looks fine. The error is at line 954, expecting } — so the function is missing a closing }. Let me look at line 920+ to see where the function actually starts and ends.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
913: // Each pass deletes ~25 entries, the idle scheduler re-triggers (cooldown
914: // clears when entry count changes), converging over multiple passes.
915: batchTarget = Math.ceil(CONSOLIDATION_BATCH_SIZE / 2);
916: log.info(
917: `consolidation: batched mode — evaluating ${candidates.length} lowest-confidence entries ` +
918: `(${entries.length} total, batch keeps at most ${batchTarget})`,
919: );
920: }
921:
922: const userContent = consolidationUser({
923: entries: entriesForPrompt,
924: targetMax: batchTarget,
925: });
926: const model = input.model ?? cfg.model;
927: const responseText = await input.llm.prompt(
928: CONSOLIDATION_SYSTEM,
929: userContent,
930: {
931: model,
932: workerID: "lore-curator",
933: thinking: false,
934: ...
The function looks complete. The } at line 953 closes the function. But tsc complains at 954 expecting }. Let me check the function declaration line again.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
863: export async function consolidate(input: {
864: llm: LLMClient;
865: projectPath: string;
866: sessionID: string;
867: model?: { providerID: string; modelID: string };
868: workerHealth?: { recordFailure(reason: string): void };
869: }): Promise<{ updated: number; deleted: number }> {
870: const cfg = config();
871: if (!cfg.curator.enabled) return { updated: 0, deleted: 0 };
872:
(Showing lines 863-872 of 953. Use offset=873 to continue.)
</content>
Wait, the function looks structurally fine. Let me check if there's something off — maybe a missing } somewhere else that makes the parser think this function is nested deeper. Let me look at line 940-953 more carefully.
Actually wait, looking at my edit at 939-942:
if (!responseText) {
input.workerHealth?.recordFailure("no-response");
return { updated: 0, deleted: 0 };
}
That's 4 lines. And then there's a blank line, then 944-950. Then 952-953 close. This should be valid TypeScript.
But the error says "src/curator.ts(954,1): error TS1005: '}' expected." Position (954,1) is past the end of file. Hmm.
Wait, maybe there's a duplicate function declaration or something. Let me look at what existed before my edit at line 939.
Actually, looking at the original curator.ts:932-941:
thinking: false,
sessionID: input.sessionID,
maxTokens: 4096,
temperature: 0,
},
);
if (!responseText) return { updated: 0, deleted: 0 };
And ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
610: maxTokens: 2048,
611: temperature: 0,
612: });
613: if (!responseText) {
614: input.workerHealth?.recordFailure("no-response");
615: return {
616: created: 0,
617: updated: 0,
618: deleted: 0,
619: entitiesCreated: 0,
620: relationsCreated: 0,
621: };
622:
623: const response = parseResponse(responseText);
624:
625: // Gate entry creation when at or above maxEntries to prevent the ratchet
626: // effect: curation creates entries → count exceeds limit → consolidation
627: // can't reduce (all unique) → curation creates more → count grows forever.
628: // When at the limit, only allow update/delete ops. Creates are allowed
629: // again once consolidation (or manual deletion) brings count below limit.
(Showing lines 610-629 of 953. ...
Found the bug! The original if (!responseText) return {...}; was a one-line if. My edit changed it to a block but didn't add the closing } for the if. The original return block had its own } so the closing brace at line 621 (which closes the return object) looks like the if's closing brace to TypeScript.
Let me look at the original code to understand the structure better. The original was:
if (!responseText)
return {
created: 0,
updated: 0,
deleted: 0,
entitiesCreated: 0,
relationsCreated: 0,
};
So the return { ... } is a one-expression return, and the ; ends the if. After my edit:
if (!responseText) {
input.workerHealth?.recordFailure("no-response");
return {
created: 0,
updated: 0,
deleted: 0,
entitiesCreated: 0,
relationsCreated: 0,
}; // <-- this is the return's closing brace
// MISSING: closing brace for the if
I need to add the } to close the ...
Edit applied successfully.
Scope: 5 of 6 workspace projects packages/core typecheck$ tsc --noEmit packages/core typecheck: Done packages/gateway typecheck$ tsc --noEmit packages/gateway typecheck: Done packages/opencode typecheck$ tsc --noEmit packages/pi typecheck$ tsc --noEmit packages/pi typecheck: Done packages/opencode typecheck: Done
Typecheck passes. Now I need to:
workerHealth adapter in pipeline.ts and pass it to distillation.run() and curator.run()Let me find the distillation.run and curator.run call sites in pipeline.ts.
packages/gateway/src/pipeline.ts:3098: distillation.run({
packages/gateway/src/pipeline.ts:3140: () => curator.run({ llm, projectPath, sessionID, model }),
packages/gateway/src/pipeline.ts:3192: await distillation.run({
packages/gateway/src/pipeline.ts:5351: const dResult = await distillation.run({
packages/gateway/src/pipeline.ts:5371: const cResult = await curator.run({ llm, projectPath, sessionID, model });
packages/gateway/src/idle.ts:479: await distillation.run({
packages/gateway/src/idle.ts:502: await distillation.metaDistill({
packages/gateway/src/idle.ts:531: () => curator.run({ llm, projectPath, sessionID, model }),
packages/gateway/src/idle.ts:578: () => curator.consolidate({ llm, projectPath, sessionID, model }),
packages/gateway/src/sentry.ts:484: * Called after `curator.run()` or `curator.consolidate()` completes with
There are multiple call sites. I need to add a workerHealth parameter to all of them. The cleanest approach: construct a single adapter in pipeline.ts and idle.ts that closes over sessionID, then pass it everywhere.
Let me look at the import patterns first.
14:import type { LoreMessageWithParts, LLMClient } from "@loreai/core";
61:} from "@loreai/core";
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
140: } from "./temporal-adapter";
141: import { createGatewayLLMClient } from "./llm-adapter";
142: import { createBatchLLMClient } from "./batch-queue";
143: import {
144: runBackground,
145: resetBackgroundLimiter,
146: isBackgroundPaused,
147: } from "./background-limiter";
148: import {
149: extractAuth,
150: authFingerprint,
151: setLastSeenAuth,
152: setSessionAuth,
153: resolveAuth,
154: isAuthStale,
155: type AuthCredential,
156: } from "./auth";
157: import type { UpstreamInterceptor } from "./recorder";
158: import { startIdleScheduler, buildIdleWorkHandler } from "./idle";
159: import {
160: getWorkerModel,
161: resetWorkerModelState,
162: fetchModelData,
163: getModelEntrySync,
164: lookupProviderRoute,
(Showing lines 140-164 of 5521. Use offset=165 to continue.)
</content>
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Now let me create a small helper that builds the workerHealth adapter, and then use it at the call sites. Actually, the adapter is trivial — just { recordFailure: (reason) => recordWorkerFailure(sessionID, workerID, reason) }. Let me just inline it at each call site. Or create a tiny helper function.
Let me look at the call sites to see how each is structured.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3093: if (pendingTokens >= cfg.distillation.maxSegmentTokens) {
3094: log.info(
3095: `incremental distillation: ${pendingTokens} undistilled tokens in ${sessionID.slice(0, 16)}`,
3096: );
3097: runBackground(
3098: () =>
3099: distillation.run({
3100: llm,
3101: projectPath,
3102: sessionID,
3103: model,
3104: skipMeta: true,
3105: callType: batchQueueEnabled ? "batch" : "direct",
3106: }),
3107: `incremental-distill session=${sessionID.slice(0, 16)}`,
(Showing lines 3093-3107 of 5522. Use offset=3108 to continue.)
</content>
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3136: {
3137: name: "lore.curator",
3138: op: "lore.curation",
3139: attributes: { trigger: "in-flight" },
3140: },
3141: () => curator.run({ llm, projectPath, sessionID, model }),
3142: ),
3143: `in-flight-curation session=${sessionID.slice(0, 16)}`,
3144: )
3145: .then((result) => {
(Showing lines 3136-3145 of 5522. Use offset=3146 to continue.)
</content>
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3188: const llm = getLLMClient(config);
3189:
3190: // 1. Force-distill all undistilled messages.
3191: // Mark urgent: true — client is blocking on the compaction response.
3192: const model = getWorkerModel(sessionUpstream);
3193: await distillation.run({
3194: llm,
3195: projectPath,
3196: sessionID,
3197: model,
(Showing lines 3188-3197 of 5522. Use offset=3198 to continue.)
</content>
Let me add workerHealth to each of these call sites. The adapter is a small inline object that closes over sessionID and the appropriate workerID. Let me make a small helper to avoid duplication.
Actually, let me just inline the adapter at each site since it's just 3-4 lines per site. The format would be:
workerHealth: { recordFailure: (reason) => recordWorkerFailure(sessionID, "lore-distill", reason as FailureReason) }
But that requires casting string to FailureReason. Let me just add the cast in the adapter.
Actually let me make a small helper function:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
166: } from "./worker-model";
167: import * as Sentry from "@sentry/bun";
168: import {
169: captureBillingPrefix,
170: captureSessionHeaders,
171: hasBillingHeader,
172: resignBody,
173: } from "./cch";
174: import { detectClientType } from "./session";
175: import { analyzeCacheTurn, categorizeBust } from "./cache-analytics";
(Showing lines 166-175 of 5522. Use offset=176 to continue.)
</content>
Edit applied successfully.
Now let me update the call sites. There are 4 in pipeline.ts and 4 in idle.ts.
For pipeline.ts:
For idle.ts:
Edit applied successfully.
Edit applied successfully.
Let me look at the other call sites in pipeline.ts.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3207: */
3208: export async function generateCompactionSummary(opts: {
3209: projectPath: string;
3210: sessionID: string;
3211: config: GatewayConfig;
3212: previousSummary?: string;
3213: sessionUpstream?: { providerID?: string; modelID?: string };
3214: }): Promise<string | null> {
3215: const { projectPath, sessionID, config, previousSummary, sessionUpstream } =
3216: opts;
3217: const llm = getLLMClient(config);
3218:
3219: // 1. Force-distill all undistilled messages.
3220: // Mark urgent: true — client is blocking on the compaction response.
3221: const model = getWorkerModel(sessionUpstream);
(Showing lines 3207-3221 of 5551. Use offset=3222 to continue.)
</content>
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
5365: req,
5366: "No active session found for curation.",
5367: "msg_lore_curate_none",
5368: );
5369: }
5370:
5371: const projectPath = state.projectPath;
5372: const { distillation, curator } = await import("@loreai/core");
5373: const llm = getLLMClient(config);
5374: const model = getWorkerModel(state.lastUpstream);
5375:
5376: log.info(`/lore:curate: running for session=${sessionID.slice(0, 16)}`);
5377:
5378: // Force-distill all pending messages (urgent bypasses batch queue)
5379: let distilled = 0;
5380: try {
5381: const dResult = await distillation.run({
5382: llm,
5383: projectPath,
5384: sessionID,
5385: model,
5386: force: true,
5387: skipMeta: true,
5388: urgent: true,
5389: callType: "direct",
(Showing lines ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3220: // Mark urgent: true — client is blocking on the compaction response.
3221: const model = getWorkerModel(sessionUpstream);
3222: await distillation.run({
3223: llm,
3224: projectPath,
3225: sessionID,
3226: model,
3227: force: true,
3228: urgent: true,
3229: callType: "direct",
3230: });
3231:
3232: // 2. Load distillation summaries
3233: const distillations = distillation.loadForSession(projectPath, sessionID);
3234:
3235: // 3. Build knowledge block
3236: const cfg = loreConfig();
3237: const entries = cfg.knowledge.enabled
3238: ? ltm.forProject(projectPath, cfg.crossProject)
3239: : [];
3240: const knowledge = entries.length
3241: ? formatKnowledge(
3242: entries.map((e) => ({
3243: category: e.category,
3244: title: ...
Edit applied successfully.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
5380: let distilled = 0;
5381: try {
5382: const dResult = await distillation.run({
5383: llm,
5384: projectPath,
5385: sessionID,
5386: model,
5387: force: true,
5388: skipMeta: true,
5389: urgent: true,
5390: callType: "direct",
5391: });
5392: distilled = dResult.distilled;
5393: } catch (e) {
5394: log.error("/lore:curate distillation error:", e);
5395: }
5396:
5397: // Run curation (uses urgent/direct call via the LLM client)
5398: let created = 0;
5399: let updated = 0;
5400: let deleted = 0;
5401: try {
5402: const cResult = await curator.run({ llm, projectPath, sessionID, model });
5403: created = cResult.created;
5404: updated = cResult.updated;
(Showing lines 5380-5404 of 5552. Use offset=5405 to continue.)
</content>
Edit applied successfully.
Edit applied successfully.
Now let me do the same for idle.ts.
33:} from "@loreai/core";
34:import type { LLMClient } from "@loreai/core";
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/idle.ts</path>
<type>file</type>
<content>
475: ? ("direct" as const)
476: : ("batch" as const);
477: const pending = temporal.undistilledCount(projectPath, sessionID);
478: if (pending > 0) {
479: await distillation.run({
480: llm,
481: projectPath,
482: sessionID,
483: model,
484: force: true,
485: skipMeta: true,
486: callType,
487: });
488: }
489: // Meta consolidation: safe on idle because cache is already cold.
(Showing lines 475-489 of 690. Use offset=490 to continue.)
</content>
Continue
A plan file exists at /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/.opencode/plans/1780868002004-proud-lagoon.md. You should execute on the plan defined within it
Let me continue wiring the workerHealth adapter into the remaining call sites in `idle.ts
continue
A plan file already exists at /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/.opencode/plans/1780868002004-proud-lagoon.md. You can read it and make incremental edits using the edit tool. You should build your plan incrementally by writing to or editing this file. NOTE that this is the only file you are allowed to edit - other than this you are only allowed to take READ-ONLY actions.
Goal: Gain a comprehensive understanding of the user's request by reading through code and asking them questions. Critical: In this phase you should only use the explore subagent type.
Focus on understanding the user's request and the code associated with their request
Launch up to 3 explore agents IN PARALLEL (single message, multiple tool calls) to efficiently explore the codebase.
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/idle.ts</path>
<type>file</type>
<content>
516: const g0 = distillation.gen0Count(projectPath, sessionID);
517: if (g0 >= metaThreshold) {
518: await distillation.metaDistill({
519: llm,
520: projectPath,
521: sessionID,
522: model,
523: callType,
524: });
525: }
(Showing lines 516-525 of 706. Use offset=526 to continue.)
</content>
Edit applied successfully.
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Now let me run typecheck to verify all the wiring
> lore-monorepo@ typecheck /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf > pnpm -r run typecheck Scope: 5 of 6 workspace projects packages/core typecheck$ tsc --noEmit packages/core typecheck: Done packages/gateway typecheck$ tsc --noEmit packages/gateway typecheck: Done packages/opencode typecheck$ tsc --noEmit packages/pi typecheck$ tsc --noEmit packages/opencode typecheck: Done packages/pi typecheck: Done
Typecheck passes. Now let me run the full test
(node:1405716) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1405716) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1405716) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1405716) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1405716) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show where the warning was created) (node:1405716) ExperimentalWarning: SQLite is an experimental feature and might change at any time (Use `node --trace-warnings ...` to show ...
All 2297 tests pass (83 test files, 0 failures). Let me also run
× Some errors were emitted while running checks. ELIFECYCLE Command failed with exit code 1.
> lore-monorepo@ lint /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf
> biome check .
packages/core/src/db/driver.node.ts:35:24 lint/suspicious/noExplicitAny ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
! Unexpected any. Specify a different type.
33 │ entry = {
34 │ // eslint-disable-next-line @typescript-eslint/no-explicit-any
> 35 │ all: (...args: any[]) => stmt.all(...args) as Record<string, unknown>[],
│ ^^^
36 │ // eslint-disable-next-line @typescript-eslint/no-explicit-any
37 │ get: (...args: any[]) => {
i any disables many type checking rules. Its use should be avoided.
packages/core/src/db/driver.node.ts:37:24 lint/suspicious/noExplicitAny ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
! Unexpected any. Specify a different type.
35 │ all: (...args: any[]) => stmt.all(...args) as Record<string, unknown>[],
36 │ // ...
One error is the unused WorkerID import in llm-adapter.ts. The other is a format issue in worker-attribution.test.ts. The rest are pre-existing warnings. Let me
Edit applied successfully.
Skipped 2 suggested fixes. If you wish to apply the suggested (unsafe) fixes, use the command biome check --write --unsafe Checked 257 files in 4s. Fixed 2 files. Found 16 warnings.
i any disables many type checking rules. Its use should be avoided. Checked 257 files in 3s. No fixes applied. Found 16 warnings.
Clean lint, clean typecheck, 2297 tests
[
{
"content": "Source attribution: add migration for worker_provider_id/worker_model_id on distillations + knowledge",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: extend ltm.create input + INSERT to include worker attribution",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: wire input.model through distillSegment + metaDistillInner to insertDistillation",
"status": "completed",
"priority": "high"
},
{
"content": "Source attribution: pass input.model through curator.runInner -> applyOps -> ltm.create",
"status": "completed",
"priority": "high"
},
{
"content": "Tests: source attribution unit tests",
"status": "completed",
"priority": "high"
},
{
"content": "Worker health: create packages/gateway/src/worker-health.ts module",
"status": "completed",
"priority": "high"
},
{
"content": "Worker health: wire ...
Let's get a PR up and watch CI
Let's get a PR up and watch CI'
Let's get a PR up
Let's get a PR up
Let me check the git status and create a PR.