Dashboard › Code › Session s3a4cf9e6354
s3a4cf9e6354267c4<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
4900: // ---------------------------------------------------------------------------
4901:
4902: /**
4903: * Process an incoming gateway request through the full Lore pipeline.
4904: *
4905: * Returns a standard `Response` object — either a streaming SSE response
4906: * or a JSON response, depending on the client's `stream` setting.
4907: */
4908: export async function handleRequest(
4909: req: GatewayRequest,
4910: config: GatewayConfig,
4911: ): Promise<Response> {
4912: try {
4913: // Capture auth credentials early for background workers
4914: const earlyAuth = extractAuth(req.rawHeaders);
4915: if (earlyAuth) {
4916: setLastSeenAuth(earlyAuth);
4917: }
4918:
4919: // --- Quick Tier-1 session lookup for structural compaction detection ---
4920: // O(1) header + map lookup ...
Now I have a clear picture. The handleResponsesCompact handler in server.ts should:
generateCompactionSummary(){ output: [...] }The key insight: I can reuse the same pattern as handleCompactEndpoint (which is the Pi plugin endpoint) but adapted for the Responses API format. Let me now write the handler and add the route:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/lucky-cactus/packages/gateway/src/server.ts</path>
<type>file</type>
<content>
330: : parseAnthropicResponseJSON(respBody);
331: return withCors(buildOpenAIResponsesResponse(gatewayResp, gatewayReq.stream));
332: }
333:
334: // ---------------------------------------------------------------------------
335: // Server
336: // ---------------------------------------------------------------------------
337:
338: export function startServer(config: GatewayConfig): {
339: stop: () => void;
340: port: number;
341: hosts: string[];
342: /** Resolves when the server is listening. Present under Node.js (where
343: * server.listen() is async); absent under Bun (where bind is synchronous). */
344: ready?: Promise<void>;
345: } {
346: // Defensive defaults for public API consumers who may pass incomplete config. ...
Now I have the full picture. Let me implement the handler. I'll add:
handleResponsesCompact handler functiongenerateCompactionSummary from pipelineEdit applied successfully.
Now add the generateCompactionSummary import:
Okay what's your suggestion? I'm leaning towards node + fossilize as that feels more stable at this point?
I agree. Node + fossilize is the right call. Here's my reasoning:
Why Node + fossilize over "fix WASM under Bun":
bun build --compile can't bundle native .node addons (that's why the WASM redirect exists in the first place)bundle.ts) already builds a Node-compatible output with native onnxruntime-node — it's the foundationFor WASM vs native ORT under Node:
onnxruntime-node — it's the path of least resistance since the CJS bundle already externalizes it, and fossilize can side-load the platform-specific .node addon + libonnxruntime.so/.dylibScope: This is a meaningful build-system change (replacing Bun.build() + wrapper.ts + $bunfs asset machinery with fossilize). I'd suggest filing a tracking issue, scoping it as a dedicated PR, and shipping a nightly to Seylan/Onur for validation. Want me to file the issue?
Edit applied successfully.
Now I need to import the session identification functions from pipeline. Let me check what's exported:
(no output)
All CI checks passing on both PRs. Let me check for any review comments on #1072.
Total: 0, Unresolved: 0
Zero review comments — clean. Let me enable auto-merge on #1072 as well.
Edit applied successfully.
Now add the route in server.ts and update the import:
(no output)
Both PRs are set to auto-merge:
| PR | Description | Status |
|---|---|---|
| #1069 | feat(monitor): add cron monitor check-ins (monitor run / list) | All checks green, auto-merge enabled |
| #1072 | fix: break circular import causing KNOWN_CURL_DIRS TDZ crash | All checks green, 0 review comments, auto-merge enabled |
Issue filed: #1070 — tracked and fixed by #1072.
Note: #1072 should merge first since #1069 was branched from the same origin/main. Once #1072 merges, if #1069 has merge conflicts from the upgrade.ts/binary.ts changes, I can rebase it. But since #1069 doesn't touch those files, they should merge independently without conflicts.
https://github.com/BYK/loreai/issues/551
Issue filed: https://github.com/BYK/loreai/issues/551
Assigned to you, with full context on the approach, what to replace, verification steps, and all the related PRs/Sentry issues linked.
Edit applied successfully.
Please address this message and continue with your tasks. </system-reminder>
Please address this message and continue with your tasks. </system-reminder>
Got it, continuing with the route addition:
User has answered your questions: "Can you share a few lines from Seylan's logs showing the repeated errors? Specifically I want to see: (1) Are they all '401 Unauthorized' or mixed with other codes? (2) Are they from the same workerID (e.g., lore-distill, lore-curator, lore-compact)? (3) Is there a 'no auth credentials available' warning before or after them? (4) How frequent are they — every 30s (idle scheduler), or clustered around conversation turns?"="I'll paste some logs". You can now continue with the user's answers in mind.
Waiting for Seylan's logs — please paste them whenever you have them.
Edit applied successfully.
Now update the tests. First, the agents test:
This is clearly a storm — ~55 errors in rapid succession, all "Invalid bearer token". The request IDs increment very closely (all req_011Cbi* / req_011Cbj*), meaning these are fired within seconds of each other, not every 30s. This is the scheduleBackgroundWork() pattern — multiple worker calls per turn, and likely across multiple turns.
But wait — she's on a version before my fix. Let me check what version she's running and whether this is the Codex+Anthropic-bearer-token scenario.
[
{
"content": "Part 1a: Add `-c model_auto_compact_token_limit=999999999` to Codex cliArgs in agents.ts",
"status": "completed",
"priority": "high"
},
{
"content": "Part 1b: Update setup.ts to write model_auto_compact_token_limit to config.toml",
"status": "completed",
"priority": "high"
},
{
"content": "Part 2: Add POST /v1/responses/compact route handler in server.ts",
"status": "completed",
"priority": "high"
},
{
"content": "Update agents.test.ts for new Codex cliArgs",
"status": "in_progress",
"priority": "medium"
},
{
"content": "Update setup.test.ts for model_auto_compact_token_limit",
"status": "pending",
"priority": "medium"
},
{
"content": "Run typecheck and tests to verify",
"status": "pending",
"priority": "high"
}
]
Update agents.test.ts — the cliArgs test needs to expect the new args:
Edit applied successfully.
Now update setup.test.ts:
[
{
"content": "Part 1a: Add `-c model_auto_compact_token_limit=999999999` to Codex cliArgs in agents.ts",
"status": "completed",
"priority": "high"
},
{
"content": "Part 1b: Update setup.ts to write model_auto_compact_token_limit to config.toml",
"status": "completed",
"priority": "high"
},
{
"content": "Part 2: Add POST /v1/responses/compact route handler in server.ts",
"status": "completed",
"priority": "high"
},
{
"content": "Update agents.test.ts for new Codex cliArgs",
"status": "completed",
"priority": "medium"
},
{
"content": "Update setup.test.ts for model_auto_compact_token_limit",
"status": "in_progress",
"priority": "medium"
},
{
"content": "Run typecheck and tests to verify",
"status": "pending",
"priority": "high"
}
]
The setup tests need updating — updateCodexConfig now also writes model_auto_compact_token_limit. I also need to export setTopLevelKey for testing, and add the import:
task_id: ses_16b3c3763ffeP9ecMpJC5XD022 (for resuming to continue this task if needed) <task_result> I now have a complete picture. Here is my report. --- ## Daily Budget "Disable" Functionality — End-to-End Analysis ### 1. UI: Dashboard Form with Disable Button **File:** `/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/ui.ts` **Lines 2335-2391** — The "Daily Budget" card in the Costs dashboard page. - **Line 2336:** Reads the current budget via `getDailyBudget()`. - **Lines 2344-2370:** If `currentBudget > 0`, renders a progress bar (green/amber/red based on spend percentage), plus throttle event stats. - **Lines 2371-2373:** If `currentBudget` is 0 (disabled), renders "No daily budget set. Configure one to automatically throttle spending." - **Lines 2376-2379:** If the env var `LORE_DAILY_BUDGET` is set, shows a read-only notice that the budget is overridden by the env var (no form rendered). ...
task_id: ses_16b3c224bffeFOc9VTQJAF8FVA (for resuming to continue this task if needed)
<task_result>
I now have a comprehensive picture of the entire costs/throttle system. Here is my detailed report.
---
## Complete Findings Report
### 1. Costs/Dashboard Page — How It Loads Cost Data
**Route: `/ui/costs`**
- **Server routing**: `/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/server.ts`, lines 430-434. The `fetch` handler matches `pathname === "/ui" || pathname.startsWith("/ui/")` and lazy-imports `./ui.ts` via `handleUIRequest`.
- **Request handler**: `/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/ui.ts`, line 3016: `if (pathname === "/ui/costs") { return htmlResponse(pageCosts()); }`
- **Page renderer**: `/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/ui.ts`, line ...
Good, I have a solid understanding of both issues. Let me read the critical files to verify the findings and check for the specific bugs.
User has answered your questions: "A few things I need to understand about Seylan's setup: 1. What version of lore is she running? (check `lore --version` or the binary date) 2. Is she using Codex with an Anthropic API key, or is Codex configured to proxy through some other provider? 3. The error says 'Invalid bearer token' — is this an Anthropic OAuth/Console token or a plain API key? 4. Is the main Codex session working fine (i.e., can Codex talk to the API), and only lore's background workers are failing? 5. Is she using `LORE_WORKER_API_KEY` or relying on the session credential for workers?"="She's using the latest nightly, Codex with an OpenAI key. You need to remember that Codex is OpenAI's. Check your memory about Codex. She's using the built-in authentication with the api key". You can now continue with the user's answers in mind.
Right — Codex is OpenAI's agent, using an OpenAI API key. But the error says "Invalid bearer token" with an Anthropic-format request ID (req_011Cbi*) and Anthropic error format ({"type":"error","error":{"type":"authentication_error",...}}). This means lore's worker calls are going to Anthropic while the session credential is an OpenAI API key. The worker is sending an OpenAI key to Anthropic — of course it 401s.
This is a credential routing bug: the worker model defaults to an Anthropic model (claude-sonnet), but the session only has an OpenAI credential. Let me verify.
Edit applied successfully.
Now update the existing tests that check exact output of updateCodexConfig — they now need to account for the second key:
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/cost-tracker.ts</path>
<type>file</type>
<content>
270: /**
271: * Bootstrap the daily spend counter from persisted DB data on startup.
272: *
273: * Queries `session_state` for today's persisted costs (sessions that went
274: * idle and were flushed to DB). Also sums any live in-memory sessions.
275: * Call once during gateway startup.
276: */
277: export function bootstrapDailySpend(): void {
278: const today = new Date();
279: const todayStr = today.toISOString().slice(0, 10);
280: dailySpendDate = todayStr;
281:
282: try {
283: // Use the per-day ledger — it attributes cost to the exact UTC day,
284: // avoiding the multi-day over-count of cumulative session_state totals. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/cost-tracker.ts</path>
<type>file</type>
<content>
440: quotaPressure,
441: );
442: }
443:
444: /** Get current daily spend and date (for UI / diagnostics). */
445: export function getDailySpend(): { date: string; spend: number } {
446: maybeResetDay();
447: return { date: dailySpendDate, spend: dailySpend };
448: }
449:
450: /** Get current cost-rate EMA in USD/hr (for UI / diagnostics). */
451: export function getCostRate(): number {
452: return costRateEMA;
453: }
454:
455: /** KV key for the persisted daily budget value. */
456: const DAILY_BUDGET_KV_KEY = "daily_budget";
457:
458: /**
459: * Get the effective daily budget in USD.
460: *
461: * Resolution priority:
462: * 1. `LORE_DAILY_BUDGET` env var (override for automation / CI)
463: * 2. DB-persisted value from `kv_meta` (set via UI)
464: * 3. ...
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/clever-circuit/packages/gateway/src/ui.ts</path>
<type>file</type>
<content>
2330: <div class="big-number" style="color:var(--fg2)">Breaking even</div>
2331: <div class="sub-label">Total spend: ${formatUSD(combinedTotalSpend)} · Lore overhead exactly matches savings</div>
2332: </div>`;
2333: }
2334:
2335: // --- Daily budget status + settings ---
2336: const currentBudget = getDailyBudget();
2337: {
2338: const { spend, date } = getDailySpend();
2339: const rate = getCostRate();
2340:
2341: body += `<div class="card" style="margin-bottom:1em">
2342: <h3 style="margin-top:0;margin-bottom:0.5em">Daily Budget</h3>`;
2343:
2344: if (currentBudget > 0) {
2345: const budgetPct = Math.min((spend / currentBudget) * 100, 100);
2346:
2347: // Count total throttle events across live sessions
2348: let totalThrottleEvents = 0;
2349: ...
Now let me look at the form handling and the parseFloat("0") || 0 issue more closely, and also check the computeHistoricalEstimates and pageCosts for performance issues.
Investigate the worker credential routing path for the case where a user runs Codex (OpenAI agent with OpenAI API key) through the lore gateway, and the worker model defaults to an Anthropic model.
The symptom: lore sends background worker calls (distillation, curation) to api.anthropic.com using the session's OpenAI API key as a bearer token. Anthropic rejects it with "Invalid bearer token".
Investigate these specific code paths:
Worker model selection: Read packages/gateway/src/worker-model.ts — specifically getWorkerModel(). What model does it default to? The AGENTS.md says WORKER_DEFAULTS: anthropic→claude-sonnet-4-6, openai→gpt-5.4-mini. How does it decide which provider to use? Does it look at the session's provider/protocol?
Worker auth resolution: Read packages/gateway/src/llm-adapter.ts around createGatewayLLMClient() and buildAnthropicWorkerRequest() / buildOpenAIWorkerRequest() — how does the worker decide which upstream URL to call? Does it use the worker model's provider to pick the URL, but then use the session's credential?
The mismatch: If getWorkerModel() returns an Anthropic model (claude-sonnet) and the auth credential comes from resolveAuth(sessionID) which returns the OpenAI API key from the Codex session, the worker would send the OpenAI key to api.anthropic.com. Verify this is what happens.
LORE_WORKER_API_KEY / LORE_WORKER_UPSTREAM: Read the env var handling in pipeline.ts and llm-adapter.ts. Are these designed to solve exactly this problem? When neither is set, what happens?
Worker model provider awareness: Does getWorkerModel() know about the session's provider? Read the function carefully. Does it have access to the session's protocol (anthropic vs openai)?
The fix path: What's the right fix? Options:
a. getWorkerModel() should check the session's provider and pick a compatible model
b. Worker calls should detect provider mismatch and skip
c. ...
I'll systematically trace this bug through the codebase. Let me start by reading the key files.
<path>/home/byk/Code/opencode-lore/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:
13: // ---------------------------------------------------------------------------
14: // Cost lookup — models.dev
15: // ---------------------------------------------------------------------------
16:
17: /**
18: * models.dev JSON API endpoint — returns all providers/models with pricing.
19: *
20: * Single request replaces N individual TOML fetches. ...
Found 12 matches
/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts:
Line 882: // Worker-specific auth: when LORE_WORKER_API_KEY is set, workers use a
Line 886: const workerApiKey = config.workerApiKey;
Line 887: const getWorkerAuth: (sessionID?: string) => AuthCredential | null =
Line 888: workerApiKey
Line 889: ? () => ({ scheme: "api-key", value: workerApiKey })
Line 898: if (config.workerApiKey || config.workerUpstream) {
Line 901: `auth=${config.workerApiKey ? "dedicated key" : "session"}, ` +
Line 908: getWorkerAuth,
Line 925: getWorkerAuth,
/home/byk/Code/opencode-lore/packages/gateway/src/config.ts:
Line 69: * Env: LORE_WORKER_API_KEY
Line 71: workerApiKey?: string;
Line 123: workerApiKey: env.LORE_WORKER_API_KEY || undefined,
Found 15 matches
/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts:
Line 123: import { createGatewayLLMClient } from "./llm-adapter";
Line 906: const inner = createGatewayLLMClient(
/home/byk/Code/opencode-lore/packages/gateway/src/llm-adapter.ts:
Line 188: function buildAnthropicWorkerRequest(
Line 258: function buildOpenAIWorkerRequest(
Line 334: export function createGatewayLLMClient(
Line 354: ? buildOpenAIWorkerRequest(
Line 363: : buildAnthropicWorkerRequest(
Line 498: ? buildOpenAIWorkerRequest(
Line 507: : buildAnthropicWorkerRequest(
/home/byk/Code/opencode-lore/packages/gateway/src/cli/import-auto.ts:
Line 17: import { createGatewayLLMClient } from "../llm-adapter";
Line 130: const llm = createGatewayLLMClient(
/home/byk/Code/opencode-lore/packages/gateway/src/cli/import.ts:
Line 20: import { createGatewayLLMClient } from "../llm-adapter";
Line 240: const llm ...
Now let me read the critical files — llm-adapter.ts for the worker request building and auth routing, and the relevant section of pipeline.ts for createGatewayLLMClient setup:
<path>/home/byk/Code/opencode-lore/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
1: /**
2: * Gateway LLM adapter: implements LLMClient via direct API calls.
3: * Used by Lore's background workers (distillation, curation, query expansion)
4: * running inside the gateway process.
5: *
6: * Supports both Anthropic Messages API and OpenAI Chat Completions API.
7: * The provider is selected at call time based on `model.providerID`:
8: * - "anthropic" → POST /v1/messages (Anthropic wire format)
9: * - "openai" → POST /v1/chat/completions (OpenAI wire format)
10: *
11: * Retry logic, Sentry instrumentation, worker call tracking, and error
12: * handling are shared across both providers.
13: */
14:
15: import type { LLMClient } from "@loreai/core";
16: import { log } from "@loreai/core";
17: import * as Sentry from "@sentry/bun";
18: import type { AuthCredential } from "./auth";
19: import { authHeaders, markAuthStale } from "./auth";
20: import { ...
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
870:
871: log.info(`gateway pipeline initialized: ${projectPath}`);
872: }
873:
874: function getLLMClient(config: GatewayConfig): LLMClient {
875: if (!llmClient) {
876: const cfg = loreConfig();
877: const defaultModel = cfg.model ?? {
878: providerID: "anthropic",
879: modelID: "claude-sonnet-4-6",
880: };
881:
882: // Worker-specific auth: when LORE_WORKER_API_KEY is set, workers use a
883: // dedicated credential instead of the session's client key. This enables
884: // routing workers to a different provider (e.g. MiniMax) while sessions
885: // continue using Anthropic. Falls back to session auth when not set.
886: const workerApiKey = config.workerApiKey;
887: const getWorkerAuth: (sessionID?: string) => AuthCredential | null =
888: workerApiKey
889: ? ...
Now let me read the core's workerModel.resolveWorkerModel() function, the resolveAuth function, and the config to understand the full chain:
Found 1 matches /home/byk/Code/opencode-lore/packages/core/src/worker-model.ts: Line 40: export function resolveWorkerModel(
<path>/home/byk/Code/opencode-lore/packages/gateway/src/auth.ts</path>
<type>file</type>
<content>
1: /**
2: * Gateway authentication: typed credentials, per-session registry, and
3: * two-level lookup for background workers.
4: *
5: * Replaces the bare `lastSeenApiKey` string with a typed `AuthCredential`
6: * that supports both API-key (`x-api-key`) and OAuth Bearer token
7: * (`Authorization: Bearer`) authentication schemes.
8: *
9: * The per-session registry ensures background workers (distillation,
10: * curation, batch queue) use the correct credential for their session
11: * even when multiple clients are connected simultaneously.
12: */
13:
14: import { createHash } from "node:crypto";
15:
16: // ---------------------------------------------------------------------------
17: // AuthCredential type
18: // ---------------------------------------------------------------------------
19:
20: /** Auth credential — either an API key or an OAuth bearer token. ...
<path>/home/byk/Code/opencode-lore/packages/gateway/src/config.ts</path>
<type>file</type>
<content>
1: /**
2: * Gateway configuration — loaded from environment variables with sensible
3: * defaults. No Zod, no file-based config — minimal @loreai/core dependency
4: * (only `normalizeRemoteUrl` for git URL canonicalization).
5: */
6:
7: import {
8: normalizeRemoteUrl,
9: discoverWorkspaceRoot,
10: UNATTRIBUTED_PROJECT_PREFIX,
11: isUnattributedProjectPath,
12: } from "@loreai/core";
13:
14: // ---------------------------------------------------------------------------
15: // Port defaults
16: // ---------------------------------------------------------------------------
17:
18: /**
19: * Default port preference order when LORE_LISTEN_PORT is not set. ...
Now let me read the core's resolveWorkerModel and also check how cfg.model gets set (the session model provider info):
<path>/home/byk/Code/opencode-lore/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 ($1.50+/M input). 6: * Sonnet-4-6 produces equivalent-quality distillations at lower cost. 7: * An explicit `workerModel` config override takes priority over this default. 8: * 9: * Resolution order: 10: * 1. Explicit config override (`workerModel`) 11: * 2. Cost-aware default (sonnet-4 for expensive session models) 12: * 3. Session model fallback (same model as the conversation) 13: */ 14: 15: // --------------------------------------------------------------------------- 16: // Types (kept for config compatibility) 17: // --------------------------------------------------------------------------- 18: 19: /** Minimal model info — kept for downstream consumers. ...
Found 2 matches
/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts:
Line 27: setModelLimits,
Line 3471: setModelLimits({ context: modelSpec.context, output: modelSpec.output });
Found 8 matches
/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts:
Line 27: setModelLimits,
Line 88: learnHeaders,
Line 150: captureSessionHeaders,
Line 878: providerID: "anthropic",
Line 1486: const result = learnHeaders(state.candidateHeaders, headers);
Line 3371: captureSessionHeaders(sessionID, req.rawHeaders);
Line 3390: const result = learnHeaders(
Line 3471: setModelLimits({ context: modelSpec.context, output: modelSpec.output });
Now let me find where cfg.model is set — how does the core config know about the session's model and providerID:
Found 11 matches
/home/byk/Code/opencode-lore/packages/core/src/embedding.ts:
Line 561: const model = cfg.model;
Line 1094: return `${cfg.provider}:${cfg.model}:${cfg.dimensions}`;
/home/byk/Code/opencode-lore/packages/core/src/pattern-echo.ts:
Line 160: const model = input.model ?? config().model;
/home/byk/Code/opencode-lore/packages/core/src/index.ts:
Line 109: setModelLimits,
/home/byk/Code/opencode-lore/packages/core/src/gradient.ts:
Line 496: export function setModelLimits(limits: { context: number; output: number }) {
/home/byk/Code/opencode-lore/packages/core/src/distillation.ts:
Line 991: const model = input.model ?? config().model;
Line 1247: const model = input.model ?? cfg.model;
/home/byk/Code/opencode-lore/packages/core/src/curator.ts:
Line 596: const model = input.model ?? cfg.model;
Line 915: const model = input.model ?? cfg.model;
/home/byk/Code/opencode-lore/packages/core/src/index.d.ts:
Line 21: export { transform, ...
Found 3 matches
/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts:
Line 27: setModelLimits,
Line 2260: if (typeof parsed.model === "string") model = parsed.model;
Line 3471: setModelLimits({ context: modelSpec.context, output: modelSpec.output });
Let me look at how config().model is set in core's config:
<path>/home/byk/Code/opencode-lore/packages/core/src/config.ts</path>
<type>file</type>
<content>
1: import { z } from "zod";
2: import { existsSync, readFileSync } from "node:fs";
3: import { join } from "node:path";
4: import { isHostedMode } from "./hosted";
5: import { warn } from "./log";
6:
7: /**
8: * Strip JS-style comments from a JSON string, enabling JSONC support for
9: * `.lore.json`. Preserves `//` and `/* ... */` inside quoted strings.
10: * Also removes trailing commas before `}` or `]`.
11: */
12: function stripJsonComments(str: string): string {
13: return str
14: .replace(
15: /("(?:[^"\\]|\\.)*")|\/\/[^\n]*|\/\*[\s\S]*?\*\//g,
16: (_m, s) => s ?? "",
17: )
18: .replace(/,\s*([}\]])/g, "$1");
19: }
20:
21: export const LoreConfig = z.object({
22: model: z
23: .object({
24: providerID: z.string(),
25: modelID: z.string(),
26: })
27: .optional(),
28: /** Explicit worker model override. ...
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3440: : config.upstreamOpenAI),
3441: port: config.port,
3442: projectPath,
3443: });
3444:
3445: // --- Expand recall markers from previous turns ---
3446: // Scan all assistant messages for marker text blocks and restore them
3447: // to tool_use + tool_result pairs before forwarding upstream.
3448: if (sessionState.recallStore.size > 0) {
3449: const expanded = expandRecallMarkers(req, sessionState.recallStore);
3450: if (expanded) {
3451: log.info(`expanded recall markers for session ${sessionID.slice(0, 16)}`);
3452: }
3453: // Clean up orphaned store entries (markers evicted by gradient)
3454: cleanupRecallStore(req, sessionState.recallStore);
3455: }
3456:
3457: // --- Strip context warning markers from previous turns ---
3458: // The warning is injected into the response (assistant message) so the user
3459: // can ...
Now let me find where cfg.model gets populated with session model info — specifically where providerID comes from in the pipeline:
Found 13 matches /home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts: Line 149: captureBillingPrefix, Line 150: captureSessionHeaders, Line 878: providerID: "anthropic", Line 1550: req.protocol === "openai-responses" Line 2057: protocol: "anthropic" | "openai" | "openai-responses" = "anthropic", Line 2695: req.protocol === "openai-responses" Line 2697: : (resolveUpstreamRoute(req.model)?.protocol ?? "anthropic"); Line 3119: protocol: "anthropic", Line 3366: captureBillingPrefix(sessionID, req.system); Line 3371: captureSessionHeaders(sessionID, req.rawHeaders); Line 3438: (req.protocol === "anthropic" Line 4048: req.protocol === "openai-responses" Line 4050: : (resolveUpstreamRoute(req.model)?.protocol ?? "anthropic"),
Found 3 matches /home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts: Line 150: captureSessionHeaders, Line 3371: captureSessionHeaders(sessionID, req.rawHeaders); /home/byk/Code/opencode-lore/packages/gateway/src/cch.ts: Line 320: export function captureSessionHeaders(
Now I need to understand the critical question: how does cfg.model (in @loreai/core's config) get the providerID set? The core config loads from .lore.json but the session model/provider is dynamic. Let me check if the gateway writes to cfg.model dynamically:
Found 1 matches /home/byk/Code/opencode-lore/packages/gateway/src/worker-model.ts: Line 395: const providerID = cfg.model.providerID;
Found 2 matches
/home/byk/Code/opencode-lore/packages/core/src/config.ts:
Line 336: current = LoreConfig.parse(raw);
Line 345: current = LoreConfig.parse({});
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3350: saveSessionTracking(sessionID, { isSubagent: true });
3351: }
3352: }
3353: }
3354:
3355: // Bind auth credential to this session for background workers
3356: if (cred) {
3357: setSessionAuth(sessionID, cred);
3358: clearWarmupAuthDisabled(sessionID); // Re-enable cache warming on fresh credential
3359: }
3360:
3361: // Capture billing header prefix for worker cch computation, scoped to
3362: // this session. Bearer tokens (Claude Code OAuth) embed an
3363: // x-anthropic-billing-header in the system prompt; we extract the prefix
3364: // so workers can rebuild it. Per-session storage prevents cross-session
3365: // contamination when multiple Claude Code versions share one process.
3366: captureBillingPrefix(sessionID, req.system);
3367:
3368: // Sniff Claude Code headers from conversation turns for replay on worker
3369: // ...
This is the key insight forming. The cfg.model in core config is loaded from .lore.json and is never dynamically updated with the session's actual model/provider. Let me verify by checking if there's any code that sets cfg.model.providerID based on the session's protocol:
Found 19 matches
/home/byk/Code/opencode-lore/packages/core/src/types.ts:
Line 26: model: { providerID: string; modelID: string };
Line 226: model?: { providerID: string; modelID: string };
/home/byk/Code/opencode-lore/packages/core/src/search.ts:
Line 403: model?: { providerID: string; modelID: string },
/home/byk/Code/opencode-lore/packages/core/src/pattern-echo.ts:
Line 86: model?: { providerID: string; modelID: string };
Line 104: model?: { providerID: string; modelID: string };
/home/byk/Code/opencode-lore/packages/core/src/gradient.ts:
Line 1285: model: { providerID: "", modelID: "" },
/home/byk/Code/opencode-lore/packages/core/src/distillation.ts:
Line 817: model?: { providerID: string; modelID: string };
Line 834: model?: { providerID: string; modelID: string };
Line 949: model?: { providerID: string; modelID: string };
Line 1197: model?: { providerID: string; modelID: string };
Line 1208: model?: { ...
Found 9 matches
/home/byk/Code/opencode-lore/packages/gateway/src/worker-model.ts:
Line 11: import { workerModel, config as loreConfig, log } from "@loreai/core";
Line 386: const cfg = loreConfig();
Line 390: if (cfg.model?.modelID && cfg.model?.providerID) {
Line 391: const entry = getModelEntrySync(cfg.model.modelID);
Line 395: const providerID = cfg.model.providerID;
Line 399: costAwareDefault = resolveGitHubCopilotWorker(cfg.model.modelID);
Line 402: if (mapping && !mapping.alreadyCheap(cfg.model.modelID)) {
Line 417: const fallback = cfg.model ?? WORKER_DEFAULTS.anthropic;
Line 420: cfg.model?.providerID ?? "anthropic",
Now let me check where the gateway sets the core config's model — is there any code that updates cfg.model with the session's actual model from the request?
Found 3 matches
/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts:
Line 27: setModelLimits,
Line 764: await load(projectPath);
Line 3471: setModelLimits({ context: modelSpec.context, output: modelSpec.output });
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
820: log.error("lat-reader startup refresh error:", e);
821: }
822:
823: // Pre-populate headerSessionIndex from DB so Tier 1 session identification
824: // works immediately after process restart. Without this, the first request
825: // with a known session header generates a new session ID and orphans the
826: // old session's persisted state.
827: try {
828: const headerEntries = loadHeaderSessionIndex();
829: for (const entry of headerEntries) {
830: const indexKey = `${entry.headerName}:${entry.headerSessionId}`;
831: headerSessionIndex.set(indexKey, entry.sessionId);
832: }
833: if (headerEntries.length > 0) {
834: log.info(
835: `restored ${headerEntries.length} header→session mappings from DB`,
836: );
837: }
838: } catch (e) {
839: log.warn("header session index restore failed:", e);
840: }
841: ...
Now let me look at load(projectPath) at line 764 and the init function to understand how cfg.model gets set during pipeline initialization:
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
740: };
741: }
742:
743: // ---------------------------------------------------------------------------
744: // Initialization
745: // ---------------------------------------------------------------------------
746:
747: /**
748: * One-time init: load Lore config, ensure project exists in DB, start idle scheduler.
749: * Safe to call multiple times — only the first call does work.
750: */
751: async function initIfNeeded(
752: projectPath: string,
753: config: GatewayConfig,
754: gitRemote?: string,
755: ): Promise<void> {
756: if (initialized) return;
757:
758: // Enable hosted mode before any FS operations — once set, all core
759: // functions that touch client-controlled paths become safe no-ops.
760: if (config.hostedMode) {
761: enableHostedMode();
762: }
763:
764: await load(projectPath);
765: ensureProject(projectPath, undefined, ...
Found 85 matches /home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts: Line 23: distillation, Line 24: curator, Line 276: * output on user messages for commit indicators. Used to trigger curation at Line 405: * even through curation changes, so the Anthropic prompt cache prefix Line 410: * curation, idle resume, or Layer 4 emergency — the stale preferences Line 808: distillation.backfillMetrics(); Line 846: // Start the idle scheduler for background work (distillation, curation, Line 1316: // gradient, distillation) on their own state without corrupting the parent. Line 2409: * and schedule background work (distillation, curation). Line 2724: // Track how large the context *would* be without Lore's distillation Line 2740: // --- Commit-triggered curation --- Line 2742: // When a commit is detected in tool outputs, force curation to trigger Line 2746: loreConfig().curator.onIdle && Line 2752: ...
Now let me read the scheduleBackgroundWork function to see how it resolves the worker model and passes it to distillation/curation:
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2774: * Schedule background distillation and curation (fire-and-forget).
2775: */
2776: function scheduleBackgroundWork(
2777: sessionState: SessionState,
2778: config: GatewayConfig,
2779: ): void {
2780: const { sessionID, projectPath } = sessionState;
2781:
2782: // Skip background work when the session's auth credential is stale and no
2783: // fresh fallback is available — worker LLM calls would just 401.
2784: // Auth refreshes when the next client request arrives via setSessionAuth().
2785: if (isAuthStale(sessionID) && !resolveAuth(sessionID)) return;
2786:
2787: const llm = getLLMClient(config);
2788: const cfg = loreConfig();
2789: const model = getWorkerModel();
2790:
2791: // When the OAuth account is near quota exhaustion, skip non-urgent
2792: // background work to preserve remaining entitlement for user-facing turns. ...
Now I have all the pieces. Let me also verify one more thing — how resolveTarget in llm-adapter.ts decides the URL, and confirm there's no provider-credential compatibility check anywhere:
<path>/home/byk/Code/opencode-lore/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
160:
161: /** Upstream URL + provider name for a resolved provider. */
162: type ProviderTarget = {
163: url: string;
164: providerName: string;
165: };
166:
167: /** Resolve upstream target based on model provider. */
168: function resolveTarget(
169: upstreams: { anthropic: string; openai: string },
170: providerID: string,
171: ): ProviderTarget {
172: if (providerID === "openai") {
173: return {
174: url: upstreams.openai.replace(/\/$/, ""),
175: providerName: "openai",
176: };
177: }
178: return {
179: url: upstreams.anthropic.replace(/\/$/, ""),
180: providerName: "anthropic",
181: };
182: }
183:
184: /**
185: * Build Anthropic Messages API request.
186: * Returns the full URL, headers, and serialized body.
187: */
188: function buildAnthropicWorkerRequest(
189: target: ProviderTarget,
(Showing lines 160-189 of 647. ...
Found 6 matches /home/byk/Code/opencode-lore/packages/gateway/src/batch-queue.ts: Line 14: * credential+provider combo gets its own batch submission. Line 169: * Produce a grouping key for an auth credential + provider combo. Line 607: * credential+provider combo gets its own batch submission. Line 699: // Submit a single batch for one credential+provider group Line 786: // Flush: group queued items by credential+provider, submit one batch per group Line 795: // Group by (auth credential, provider) — each combo gets its own batch
I now have the complete picture. Let me also check one final detail — how agents.ts sets up the env vars for Codex, to confirm the gateway sees Codex as an OpenAI client:
Found 8 matches
/home/byk/Code/opencode-lore/packages/gateway/src/cli/agents.ts:
Line 124: name: "codex",
Line 126: binary: "codex",
Line 127: detect: () => which("codex"),
Line 129: // Codex CLI is a Rust binary that does NOT read OPENAI_BASE_URL from the
Line 144: `openai_base_url="${url}/v1"`,
Line 165: OPENAI_BASE_URL: `${url}/v1`,
Line 177: // Hermes uses OPENAI_BASE_URL for custom OpenAI-compatible endpoints.
Line 179: OPENAI_BASE_URL: `${url}/v1`,
<path>/home/byk/Code/opencode-lore/packages/gateway/src/cli/agents.ts</path>
<type>file</type>
<content>
1: /**
2: * Agent registry — known AI coding agents that can be launched through
3: * the gateway.
4: *
5: * Each agent defines:
6: * - How to detect it (binary name on PATH)
7: * - What env vars to set so it talks through the gateway
8: */
9: import { getGitRemote } from "@loreai/core";
10:
11: // ---------------------------------------------------------------------------
12: // which() — cross-runtime binary lookup
13: // ---------------------------------------------------------------------------
14:
15: /**
16: * Find a binary on PATH. Uses Bun.which() when available (Bun runtime),
17: * falls back to `which`/`where` via child_process (Node.js runtime).
18: */
19: function which(binary: string): string | null {
20: // Bun runtime
21: if (typeof Bun !== "undefined" && typeof Bun.which === "function") {
22: return Bun.which(binary);
23: }
24:
25: // ...
I now have the complete picture. Let me verify one final detail — how the request protocol feeds into cfg.model (or doesn't):
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2050: * Dispatches to the correct parser based on the upstream wire protocol:
2051: * - "anthropic": Anthropic Messages API format
2052: * - "openai": OpenAI Chat Completions API format
2053: * - "openai-responses": OpenAI Responses API format
2054: */
2055: async function accumulateNonStreamResponse(
2056: upstreamResponse: Response,
2057: protocol: "anthropic" | "openai" | "openai-responses" = "anthropic",
2058: ): Promise<GatewayResponse> {
2059: const json = (await upstreamResponse.json()) as Record<string, unknown>;
2060:
2061: switch (protocol) {
2062: case "openai":
2063: return accumulateOpenAINonStreamJSON(json);
2064: case "openai-responses":
2065: return accumulateResponsesNonStreamJSON(json);
2066: default:
2067: return accumulateAnthropicNonStreamJSON(json);
2068: }
2069: }
2070:
2071: // Anthropic non-stream JSON → ...
<path>/home/byk/Code/opencode-lore/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3100: message: "project_path is required",
3101: }),
3102: { status: 400, headers: { "content-type": "application/json" } },
3103: );
3104: }
3105:
3106: // Extract git remote from header if available (Pi plugin injects this).
3107: const rawHeaders: Record<string, string> = {};
3108: req.headers.forEach((value, key) => {
3109: rawHeaders[key] = value;
3110: });
3111: const gitRemote = extractGitRemoteHeader(rawHeaders);
3112:
3113: await initIfNeeded(projectPath, config, gitRemote);
3114:
3115: // Build a minimal GatewayRequest for session identification.
3116: // Only rawHeaders and messages are used by identifySession(). ...
I now have the complete understanding of the bug. Here is the full investigation report.
The bug is confirmed. When Codex (OpenAI agent) connects through the Lore gateway, background worker calls (distillation, curation) default to an Anthropic model (claude-sonnet-4-6) and send the request to api.anthropic.com — but authenticate with the session's OpenAI API key. Anthropic rejects it with "Invalid bearer token" (401). The root cause is that getWorkerModel() has no access to the session's provider/protocol, because the core config's cfg.model is loaded once from .lore.json (a static file) and is never updated with the session's actual model or provider.
getWorkerModel() is session-unawareFile: /home/byk/Code/opencode-lore/packages/gateway/src/worker-model.ts, lines 366-425
getWorkerModel() resolves the worker model through this priority chain:
LORE_WORKER_MODEL env var (lines 373-384) — not typically setcfg.model from core config (lines 386-412) — loaded from .lore.json, checked for cost-aware downgradecfg.model ?? WORKER_DEFAULTS.anthropicThe critical problem is at line 390:
if (cfg.model?.modelID && cfg.model?.providerID) {
cfg.model comes from loreConfig() which calls config() in packages/core/src/config.ts (line 324). This returns the current config, which is set only by load(directory) at line 328-346 — which reads from .lore.json on disk.
There is no code anywhere that updates cfg.model with the session's actual model or provider from the incoming request. When no .lore.json exists (the common case), cfg.model is undefined.
When cfg.model is undefined, line 417 kicks in:
const fallback = cfg.model ?? WORKER_DEFAULTS.anthropic;
This hardcodes the fallback ...