DashboardsentrySession 1bBkTypkeN75

Session 1bBkTypkeN75

Full ID: 1bBkTypkeN75snCbp
Messages: 36
Distillations: 0
Time range: 2026-06-07 21:34:15 — 2026-06-07 21:40:49

Conversation (36 messages)

In the Lore repo at /home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf, I need to understand how the distillation and curator flows select which LLM model/provider to use.

Specifically:

  1. Read packages/core/src/distillation.ts end-to-end. Document:

    • The LLM call function used (e.g. callLLM, runCompletion, etc.)
    • How the model is selected — is it hardcoded, configured, or inherited from the session?
    • How API keys are resolved — does it use the same env vars / config as the main agent, or does it try a different provider?
    • Whether there is any model/provider whitelist, fallback, or special-case for non-Anthropic models
  2. Read packages/core/src/curator.ts end-to-end. Document the same things:

    • LLM call function
    • Model selection logic
    • API key resolution
    • Any special handling for non-Anthropic providers
  3. Read packages/core/src/pattern-extract.ts and note if it uses an LLM or is regex-based.

  4. Read packages/core/src/llm-adapter.ts (or whatever the LLM client wrapper is) and document:

    • How the provider is determined from a model name
    • How API keys are looked up (env var names per provider)
    • Whether there is any skip / warn / fallback behavior when an API key is missing
  5. Look at packages/core/src/config.ts and .lore.json loading to see if there are per-provider or per-task model overrides.

  6. Check packages/gateway/src/ for any worker spawning, and especially any place where the gateway itself (the proxy) might need its own API key vs the main agent's key.

Return:

  • Exact file paths and line numbers for each piece of logic
  • A clear call-graph: distillation.run() → which LLM function → which provider detection → which API key env var
  • Identify any place where a model name like gpt-4o or gemini-2.5-pro might fail to find a corresponding API key in the lore worker's environment
  • Note any place that emits a warning rather than an error when the key is ...
gateway · 2026-06-07 21:34:15
reasoning

The user wants me to thoroughly investigate how the Lore repo's distillation and curator flows select LLM models and resolve API keys. Let me start by exploring the repository structure and reading the relevant files.

Let me begin by:

  1. Looking at the directory structure
  2. Reading the key files mentioned: distillation.ts, curator.ts, pattern-extract.ts, llm-adapter.ts, config.ts
  3. Exploring the gateway directory
  4. Looking at how the LLM client wrapper works

Let me start with parallel reads of the main files.

MiniMax-M3 · 2026-06-07 21:34:15 · ~177 tokens
result
total 596
drwxr-xr-x 1 byk byk    554 Jun  7 21:05 .
drwxr-xr-x 1 byk byk     96 Jun  7 14:13 ..
-rw-r--r-- 1 byk byk   9355 Jun  7 13:35 AGENTS.md
-rw-r--r-- 1 byk byk   1060 Jun  6 23:35 biome.json
-rw-r--r-- 1 byk byk 127704 Jun  7 19:56 bun.lock
-rw-r--r-- 1 byk byk  67582 Jun  6 23:35 CHANGELOG.md
-rw-r--r-- 1 byk byk   2133 Jun  6 23:35 .craft.yml
drwxr-xr-x 1 byk byk    428 Jun  7 12:45 docs
-rw-r--r-- 1 byk byk   8196 Jun  6 23:35 .DS_Store
-rw-r--r-- 1 byk byk     63 Jun  6 23:35 .git
drwxr-xr-x 1 byk byk     18 Jun  6 23:35 .github
-rw-r--r-- 1 byk byk    584 Jun  7 19:56 .gitignore
-rw-r--r-- 1 byk byk   3760 Jun  6 23:35 LICENSE
-rw-r--r-- 1 byk byk  41347 Jun  7 19:56 .lore.md
drwxr-xr-x 1 byk byk    252 Jun  7 19:57 node_modules
drwxr-xr-x 1 byk byk    112 Jun  7 13:48 .opencode
-rw-r--r-- 1 byk byk   1473 Jun  7 21:05 package.json
drwxr-xr-x 1 byk byk     68 Jun  7 19:56 packages
-rw-r--r-- 1 byk byk 264529 Jun  7 19:56 pnpm-lock.yaml
-rw-r--r-- 1 byk byk     27 Jun  6 ...
result
total 848
drwxr-xr-x 1 byk byk    844 Jun  7 19:56 .
drwxr-xr-x 1 byk byk    208 Jun  7 19:56 ..
-rw-r--r-- 1 byk byk  24660 Jun  6 23:35 agents-file.ts
-rw-r--r-- 1 byk byk  16205 Jun  6 23:35 config.ts
-rw-r--r-- 1 byk byk  32376 Jun  6 23:35 curator.ts
-rw-r--r-- 1 byk byk   2507 Jun  6 23:35 data-dir.ts
-rw-r--r-- 1 byk byk  30732 Jun  6 23:35 data.ts
drwxr-xr-x 1 byk byk     54 Jun  7 12:45 db
-rw-r--r-- 1 byk byk  87385 Jun  6 23:35 db.ts
-rw-r--r-- 1 byk byk  52368 Jun  6 23:35 distillation.ts
-rw-r--r-- 1 byk byk  55346 Jun  7 19:56 embedding.ts
-rw-r--r-- 1 byk byk   5585 Jun  6 23:35 embedding-vendor.ts
-rw-r--r-- 1 byk byk  15426 Jun  6 23:35 embedding-worker.ts
-rw-r--r-- 1 byk byk   5877 Jun  7 19:56 embedding-worker-types.ts
-rw-r--r-- 1 byk byk  64398 Jun  7 19:56 entities.ts
-rw-r--r-- 1 byk byk   6874 Jun  6 23:35 fetch-interceptor.ts
-rw-r--r-- 1 byk byk   6831 Jun  6 23:35 git.ts
-rw-r--r-- 1 byk byk 100516 Jun  7 13:18 gradient.ts
-rw-r--r-- 1 byk byk   1521 Jun  6 ...
result
total 828
drwxr-xr-x 1 byk byk    610 Jun  7 19:56 .
drwxr-xr-x 1 byk byk    134 Jun  7 20:56 ..
-rw-r--r-- 1 byk byk  19715 Jun  6 23:35 api.ts
-rw-r--r-- 1 byk byk   8525 Jun  6 23:35 auth.ts
-rw-r--r-- 1 byk byk   6463 Jun  6 23:35 background-limiter.ts
-rw-r--r-- 1 byk byk  41824 Jun  6 23:35 batch-queue.ts
-rw-r--r-- 1 byk byk  19990 Jun  6 23:35 cache-analytics.ts
-rw-r--r-- 1 byk byk  58944 Jun  6 23:35 cache-warmer.ts
-rw-r--r-- 1 byk byk  19841 Jun  6 23:35 cch.ts
drwxr-xr-x 1 byk byk    348 Jun  6 23:35 cli
-rw-r--r-- 1 byk byk  13638 Jun  6 23:35 compaction.ts
-rw-r--r-- 1 byk byk  24290 Jun  6 23:35 config.ts
-rw-r--r-- 1 byk byk  47153 Jun  6 23:35 cost-tracker.ts
-rw-r--r-- 1 byk byk   1022 Jun  6 23:35 fetch.ts
-rw-r--r-- 1 byk byk  25025 Jun  6 23:35 idle.ts
-rw-r--r-- 1 byk byk   2238 Jun  6 23:35 index.ts
-rw-r--r-- 1 byk byk  28540 Jun  7 19:56 llm-adapter.ts
-rw-r--r-- 1 byk byk 204026 Jun  7 19:56 pipeline.ts
-rw-r--r-- 1 byk byk   1799 Jun  6 23:35 ...
gateway · 2026-06-07 21:35:51
reasoning

Good, now I have a clear picture of the layout. Let me read the key files in parallel:

  1. packages/core/src/distillation.ts - the main file for distillation
  2. packages/core/src/curator.ts - the main file for curator
  3. packages/core/src/pattern-extract.ts - pattern extraction
  4. packages/gateway/src/llm-adapter.ts - the LLM adapter
  5. packages/core/src/worker-model.ts - the worker model (small file)
  6. packages/gateway/src/worker-model.ts - the gateway worker model
  7. packages/core/src/worker.ts - core worker
  8. packages/core/src/config.ts - core config

Let me read them in parallel since they're independent.

MiniMax-M3 · 2026-06-07 21:35:51 · ~215 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/distillation.ts</path>
<type>file</type>
<content>
1: import { db, ensureProject } from "./db";
2: import { config } from "./config";
3: import * as temporal from "./temporal";
4: import { CHUNK_TERMINATOR } from "./temporal";
5: import * as embedding from "./embedding";
6: import * as ltm from "./ltm";
7: import * as log from "./log";
8: import {
9:   extractPatterns,
10:   extractActionTags,
11:   tagToTitle,
12: } from "./pattern-extract";
13: import * as toolTrace from "./tool-trace";
14: import { detectPatternEchoes } from "./pattern-echo";
15: import { hasNonAsciiLetters } from "./instruction-detect";
16: import {
17:   DISTILLATION_SYSTEM,
18:   distillationUser,
19:   RECURSIVE_SYSTEM,
20:   recursiveUser,
21: } from "./prompt";
22: import { toolStripAnnotation } from "./gradient";
23: import { workerSessionIDs } from "./worker";
24: import { distillLimiter } ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/curator.ts</path>
<type>file</type>
<content>
1: import { config } from "./config";
2: import {
3:   db,
4:   saveSessionTracking,
5:   loadSessionTracking,
6:   ensureProject,
7: } from "./db";
8: import * as temporal from "./temporal";
9: import * as distillation from "./distillation";
10: import * as ltm from "./ltm";
11: import * as entities from "./entities";
12: import * as embedding from "./embedding";
13: import * as log from "./log";
14: import {
15:   CURATOR_SYSTEM,
16:   curatorUser,
17:   CONSOLIDATION_SYSTEM,
18:   consolidationUser,
19: } from "./prompt";
20: import * as toolTrace from "./tool-trace";
21: import { detectAndFormat } from "./instruction-detect";
22: import { curatorLimiter } from "./session-limiter";
23: import type { LLMClient } from "./types";
24: import type { EntityType, AliasType, RelationType } from "./entities";
25: 
26: /**
27:  * ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/pattern-extract.ts</path>
<type>file</type>
<content>
1: /**
2:  * Lightweight regex-based pattern extraction from distillation observations.
3:  *
4:  * Scans for decision/preference/choice patterns and returns structured
5:  * extractions that can be stored as knowledge entries. No LLM required.
6:  *
7:  * Patterns target how decisions and preferences are typically expressed
8:  * in distilled engineering context:
9:  *   - "decided to use X"
10:  *   - "chose X over Y"
11:  *   - "switched from X to Y"
12:  *   - "prefers X for Y"
13:  *   - "going with X because Y"
14:  *
15:  * Also matches process instruction patterns from distilled observations
16:  * where the observer normalizes user assertions:
17:  *   - "User stated always X"
18:  *   - "User said never Y"
19:  *   - "User stated make sure to X"
20:  *   - "User stated don't forget to X"
21:  *
22:  * ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/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 wire protocol is determined by explicit protocol from the session's
8:  * UpstreamSnapshot (threaded via opts.protocol), with fallback to the
9:  * provider route registry (PROVIDER_ROUTES) and a safe default of
10:  * "anthropic" for unknown/aggregator providers:
11:  *   - Anthropic protocol → POST /v1/messages
12:  *   - OpenAI protocol    → POST /v1/chat/completions
13:  *
14:  * Protocol is decoupled from provider identity — proxy/aggregator
15:  * providers (e.g. ...
gateway · 2026-06-07 21:36:00
reasoning

Now I have a lot of information. Let me read the remaining key files:

  1. packages/core/src/worker-model.ts - core worker model
  2. packages/gateway/src/worker-model.ts - gateway worker model
  3. packages/core/src/worker.ts - core worker
  4. packages/core/src/config.ts - core config
  5. packages/gateway/src/config.ts - gateway config
  6. packages/core/src/types.ts - LLMClient type

Let me also look at the auth.ts to understand credential resolution.

MiniMax-M3 · 2026-06-07 21:36:00 · ~157 tokens
result
<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. ...
result
<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. ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/worker.ts</path>
<type>file</type>
<content>
1: // Re-export for convenience
2: export type { LLMClient } from "./types";
3: 
4: // ---------------------------------------------------------------------------
5: // Shared worker session tracking
6: // ---------------------------------------------------------------------------
7: 
8: /** Set of ALL worker session IDs across distillation, curator, and query expansion.
9:  *  Used by shouldSkip() in host adapters to avoid storing/distilling worker messages. */
10: export const workerSessionIDs = new Set<string>();
11: 
12: export function isWorkerSession(sessionID: string): boolean {
13:   return workerSessionIDs.has(sessionID);
14: }

(End of file - total 14 lines)
</content>
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/types.ts</path>
<type>file</type>
<content>
1: /**
2:  * Host-agnostic message and part types for Lore's core memory engine.
3:  *
4:  * These replace the direct dependency on `@opencode-ai/sdk`'s `Message` and
5:  * `Part` types so the core can run under any host (OpenCode, Pi, future ACP
6:  * server, etc.). Each host adapter converts between its native types and these
7:  * Lore-internal types at the hook boundary.
8:  *
9:  * The type surface is intentionally minimal — only the fields that Lore's
10:  * runtime code actually reads/writes are included. Fields that only exist for
11:  * the host's UI or for features Lore doesn't touch are omitted. ...
gateway · 2026-06-07 21:36:10
reasoning

Now I need to read more of the gateway config and auth to understand the credentials flow. Let me also read the gateway's config.ts to find PROVIDER_ROUTES.

MiniMax-M3 · 2026-06-07 21:36:10 · ~56 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/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. ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/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. ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/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:     ...
gateway · 2026-06-07 21:36:17
reasoning

Now I have a good understanding. Let me look at how the LLM client is created and passed around, especially in the gateway server, and search for places where createGatewayLLMClient is called and how the dedicated worker key is plumbed.

MiniMax-M3 · 2026-06-07 21:36:17 · ~84 tokens
result
Found 42 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 141: import { createGatewayLLMClient } from "./llm-adapter";

  Line 160:   getWorkerModel,

  Line 904:     // Worker-specific auth: when LORE_WORKER_API_KEY is set, workers use a

  Line 908:     const workerApiKey = config.workerApiKey;

  Line 912:     ) => AuthCredential | null = workerApiKey

  Line 913:       ? () => ({ scheme: "api-key", value: workerApiKey })

  Line 916:     // Worker-specific upstream: when LORE_WORKER_UPSTREAM is set, all worker

  Line 922:     if (config.workerApiKey || config.workerUpstream) {

  Line 925:           `auth=${config.workerApiKey ? "dedicated key" : "session"}, ` +

  Line 930:     const rawClient = createGatewayLLMClient(

  Line 934:       { dedicatedWorkerKey: !!workerApiKey },

  Line 944:     // When a dedicated worker API key is set (LORE_WORKER_API_KEY), skip

  Line 948:         if ...
result
Found 25 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/ui.ts:
  Line 1522:         ? ` <span title="Provisional: created when the gateway couldn't determine a project. Will self-heal or can be consolidated via 'lore data consolidate'." style="font-size:0.72em;padding:1px 5px;border-radius:6px;background:var(--bg3);color:var(--fg3);vertical-align:middle">provisional</span>`


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 1083:   // what later lets self-heal and `lore data consolidate` match a provisional

  Line 3060:   // threshold to consolidate gen-0 segments earlier — shrinks the distilled

  Line 3098:           distillation.run({

  Line 3140:           () => curator.run({ llm, projectPath, sessionID, model }),

  Line 3192:   await distillation.run({

  Line 3237:             `### Chunk ${i + 1}${d.generation > 0 ? ...
gateway · 2026-06-07 21:36:24
reasoning

Let me read the critical section of pipeline.ts to see how the worker LLM client is created and how workerApiKey is plumbed:

MiniMax-M3 · 2026-06-07 21:36:24 · ~46 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
895: 
896: function getLLMClient(config: GatewayConfig): LLMClient {
897:   if (!llmClient) {
898:     const cfg = loreConfig();
899:     const defaultModel = cfg.model ?? {
900:       providerID: "anthropic",
901:       modelID: "claude-sonnet-4-6",
902:     };
903: 
904:     // Worker-specific auth: when LORE_WORKER_API_KEY is set, workers use a
905:     // dedicated credential instead of the session's client key. This enables
906:     // routing workers to a different provider (e.g. MiniMax) while sessions
907:     // continue using Anthropic. Falls back to session auth when not set.
908:     const workerApiKey = config.workerApiKey;
909:     const getWorkerAuth: (
910:       sessionID?: string,
911:       providerID?: string,
912:     ) => AuthCredential | null = workerApiKey
913:       ? ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/idle.ts</path>
<type>file</type>
<content>
450:  *  4. Temporal pruning
451:  *  5. AGENTS.md export
452:  *  6. Dead reference cleanup
453:  *  7. lat.md refresh
454:  *
455:  * Each step is independently try/catch'd — one failure won't block the rest.
456:  *
457:  * @param llm - LLM client for worker calls (distillation, curation)
458:  */
459: export function buildIdleWorkHandler(
460:   llm: LLMClient,
461: ): (sessionID: string, state: SessionState) => Promise<void> {
462:   return async (sessionID: string, state: SessionState) => {
463:     const projectPath = state.projectPath;
464:     const cfg = loreConfig();
465:     const model = getWorkerModel(state.lastUpstream);
466: 
467:     // 1. Distillation — force-distill ALL pending messages on idle, even
468:     // below minMessages. ...
gateway · 2026-06-07 21:36:31
reasoning

Let me also see the compaction paths in pipeline.ts, and the specific section around how getWorkerModel() is called. Let me also look at the batch queue to understand how that layers on top.

MiniMax-M3 · 2026-06-07 21:36:31 · ~68 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3040:   const { sessionID, projectPath } = sessionState;
3041: 
3042:   // Skip background work when the session's auth credential is stale and no
3043:   // fresh fallback is available — worker LLM calls would just 401.
3044:   // Auth refreshes when the next client request arrives via setSessionAuth().
3045:   if (isAuthStale(sessionID) && !resolveAuth(sessionID)) return;
3046: 
3047:   const llm = getLLMClient(config);
3048:   const cfg = loreConfig();
3049:   const model = getWorkerModel(sessionState.lastUpstream);
3050: 
3051:   // When the OAuth account is near quota exhaustion, skip non-urgent
3052:   // background work to preserve remaining entitlement for user-facing turns.
3053:   // Urgent distillation is exempt (it unblocks the next user turn). ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
3160:       })
3161:       .catch((e) => log.error("background curation failed:", e));
3162:   }
3163: }
3164: 
3165: // ---------------------------------------------------------------------------
3166: // Compaction summary generation — shared by HTTP interception and /v1/compact
3167: // ---------------------------------------------------------------------------
3168: 
3169: /**
3170:  * Generate a compaction summary for a session. Force-distills any pending
3171:  * messages, loads existing distillation summaries, builds a knowledge block,
3172:  * and calls the LLM to produce a compaction summary. ...
gateway · 2026-06-07 21:36:38
reasoning

Now let me look at the batch queue to see how the worker is wrapped. Also I want to look at how lastUpstream is set, and search for "defaultModel" so I can see what model is the default. Let me also check for how the protocol is determined for OpenCode.

MiniMax-M3 · 2026-06-07 21:36:38 · ~89 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
975:         getWorkerAuth,
976:         defaultModel,
977:       );
978:       batchQueueEnabled = true;
979:     }
980:   }
981:   return llmClient;
982: }
983: 
984: // ---------------------------------------------------------------------------
985: // Project path resolution with session cache
986: // ---------------------------------------------------------------------------
987: 
988: /**
989:  * Resolve the final project path for a session, applying sticky per-session
990:  * binding and (on remote gateways) synthetic "unattributed" bucketing.
991:  *
992:  * Context: some requests (Claude Code's haiku side-channel / prompt-cache
993:  * probes) carry stripped-down system prompts that lack any path reference, so
994:  * `getProjectPath()` returns `source: "cwd"`. ...
result
Found 38 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/translate/types.ts:
  Line 322:  *  lastProviderID, lastUpstreamUrl, lastAnthropicBeta. */

  Line 323: export interface UpstreamSnapshot {

  Line 432:   lastUpstream?: UpstreamSnapshot;

  Line 437:   upstreamByProvider: Map<string, UpstreamSnapshot>;


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 71:   UpstreamSnapshot,

  Line 940:     // protocol from the UpstreamSnapshot is the source of truth — it was

  Line 950:           if (state?.lastUpstream?.url) {

  Line 953:               upstreamUrl: state.lastUpstream.url,

  Line 954:               protocol: state.lastUpstream.protocol,

  Line 2885:             sessionState.lastUpstream?.model ?? req.model,

  Line 2934:     const upstreamSnapshot: UpstreamSnapshot = {

  Line 2945:     const prevUpstream = ...
gateway · 2026-06-07 21:36:45
reasoning

Let me look at the UpstreamSnapshot and the session state to understand the protocol/providerID/URL, and the way state.lastUpstream is set, around line 2934.

MiniMax-M3 · 2026-06-07 21:36:45 · ~57 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/translate/types.ts</path>
<type>file</type>
<content>
315:   bustCount: number;
316: };
317: 
318: /** Routing snapshot captured from the last successful session request.
319:  *  Workers (distillation, curation) and the cache warmer use this
320:  *  to route through the same upstream with matching credentials.
321:  *  Single source of truth — replaces lastModel, lastProtocol,
322:  *  lastProviderID, lastUpstreamUrl, lastAnthropicBeta. */
323: export interface UpstreamSnapshot {
324:   /** Resolved upstream base URL (e.g., "https://api.minimax.io/anthropic"). */
325:   url: string;
326:   /** Wire protocol used for the request. */
327:   protocol: "anthropic" | "openai" | "openai-responses";
328:   /** Provider ID from X-Lore-Provider header (for worker model selection). */
329:   providerID?: string;
330:   /** Session model ID (for cost-aware worker model ...
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2920:     // warmer, and idle handler all read from this single source of truth
2921:     // instead of reconstructing from individual last* fields.
2922:     const lpProvider = extractProviderHeader(req.rawHeaders);
2923:     const lpRoute = lpProvider ? resolveProviderRoute(lpProvider) : null;
2924:     const lpHeaderUpstream = extractUpstreamUrlHeader(req.rawHeaders);
2925:     const lpRouteUsable =
2926:       lpRoute && (lpRoute.url != null || lpHeaderUpstream) ? lpRoute : null;
2927:     const snapshotProtocol: "anthropic" | "openai" | "openai-responses" =
2928:       req.protocol === "openai-responses"
2929:         ? "openai-responses"
2930:         : (lpRouteUsable?.protocol ??
2931:           resolveUpstreamRoute(req.model)?.protocol ??
2932:           req.protocol);
2933: 
2934:     const upstreamSnapshot: ...
gateway · 2026-06-07 21:36:55
reasoning

Now I have a comprehensive understanding. Let me also check what req.model and req.protocol are, and the defaultModel fallback at the gateway level. Let me look at the getLLMClient function and any other worker paths in the gateway. I also need to look at how defaultModel is set and used, especially when a session has no lastUpstream.

Let me also check if there's anything special about session-state model info to determine the model. And let me check what defaultModel resolves to when cfg.model is unset.

MiniMax-M3 · 2026-06-07 21:36:55 · ~179 tokens
result
Found 10 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 872:     const llm = getLLMClient(config);

  Line 896: function getLLMClient(config: GatewayConfig): LLMClient {

  Line 899:     const defaultModel = cfg.model ?? {

  Line 933:       defaultModel,

  Line 976:         defaultModel,

  Line 1966:               getLLMClient(recallContext.config),

  Line 3047:   const llm = getLLMClient(config);

  Line 3187:   const llm = getLLMClient(config);

  Line 4642:         getLLMClient(config),

  Line 5343:   const llm = getLLMClient(config);
result
Found 4 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 142: import { createBatchLLMClient } from "./batch-queue";

  Line 972:       llmClient = createBatchLLMClient(


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/batch-queue.ts:
  Line 597: // BatchLLMClient

  Line 618: export function createBatchLLMClient(
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
2980:     }
2981: 
2982:     // --- Shadow context tracking for counterfactual compaction estimation ---
2983:     // Track how large the context *would* be without Lore's distillation
2984:     // compressing it. When the shadow counter crosses the auto-compact
2985:     // threshold, record a counterfactual compaction event.
2986:     updateShadowContext(
2987:       sessionID,
2988:       actualInput,
2989:       usage.outputTokens ?? 0,
2990:       getWorkerModel(sessionState.lastUpstream)?.modelID ?? "unknown",
2991:       req.model,
2992:       sessionState.resolvedConversationTTL,
2993:     );
2994: 
2995:     // Mark session dirty for periodic flush (gradient + warming + costs).
2996:     // The 30s idle tick will persist state only for dirty sessions.
2997:     sessionState._dirty = true;
2998: 
2999:     // --- ...
gateway · 2026-06-07 21:37:03
reasoning

Let me look at the batch-queue to understand the BatchLLMClient and any LORE_BATCH_* env vars, and also check what the resolveUpstreamRoute is used for in pipeline.ts.

MiniMax-M3 · 2026-06-07 21:37:03 · ~60 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/batch-queue.ts</path>
<type>file</type>
<content>
590:       // "validating", "in_progress", "finalizing", "cancelling" — still pending
591:       return { status: "pending" };
592:     },
593:   };
594: }
595: 
596: // ---------------------------------------------------------------------------
597: // BatchLLMClient
598: // ---------------------------------------------------------------------------
599: 
600: /**
601:  * Create a batch-aware LLMClient that wraps a synchronous inner client.
602:  *
603:  * - `urgent: true` calls → immediate delegation to `inner.prompt()`
604:  * - `urgent: false/undefined` calls → queued for batch processing
605:  * - On flush timer or queue full → submit to provider-specific batch API
606:  * - On poll timer → check status and resolve promises
607:  * - On error → fallback to synchronous calls for the failed batch
608:  *
609:  * ...
result
Found 7 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 1617:   const modelRoute = resolveUpstreamRoute(req.model);

  Line 2931:           resolveUpstreamRoute(req.model)?.protocol ??

  Line 3933:         resolveUpstreamRoute(req.model)?.url ??

  Line 4555:           resolveUpstreamRoute(req.model)?.protocol ??


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/config.ts:
  Line 217: export function resolveUpstreamRoute(model: string): UpstreamRoute | null {

  Line 237:  * gateway where to forward the request when `resolveUpstreamRoute()` returns


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/cache-warmer.ts:
  Line 693:   const route = resolveUpstreamRoute(model);
gateway · 2026-06-07 21:37:13
reasoning

Let me look at the batch provider functions, especially how they resolve the model and credential. Also let me look at line 4642 and 5343 to see those getLLMClient call sites, and look at the idle handler to see if there's any places where the worker model is resolved to a model that has no matching API key.

MiniMax-M3 · 2026-06-07 21:37:13 · ~108 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
5335:       req,
5336:       "No active session found for curation.",
5337:       "msg_lore_curate_none",
5338:     );
5339:   }
5340: 
5341:   const projectPath = state.projectPath;
5342:   const { distillation, curator } = await import("@loreai/core");
5343:   const llm = getLLMClient(config);
5344:   const model = getWorkerModel(state.lastUpstream);
5345: 
5346:   log.info(`/lore:curate: running for session=${sessionID.slice(0, 16)}`);
5347: 
5348:   // Force-distill all pending messages (urgent bypasses batch queue)
5349:   let distilled = 0;
5350:   try {
5351:     const dResult = await distillation.run({
5352:       llm,
5353:       projectPath,
5354:       sessionID,
5355:       model,
5356:       force: true,
5357:       skipMeta: true,
5358:       urgent: true,
5359:       callType: "direct",
5360:     });
5361: ...
result
Found 2 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/batch-queue.ts:
  Line 194: export function createAnthropicBatchProvider(

  Line 479: export function createOpenAIBatchProvider(upstreamUrl: string): BatchProvider {
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts</path>
<type>file</type>
<content>
1955: 
1956:           // eslint-disable-next-line no-constant-condition
1957:           while (true) {
1958:             const recallBlock = findRecallToolUse(currentResp);
1959:             if (!recallBlock) break;
1960: 
1961:             recallDepth++;
1962:             const { result, input } = await executeRecall(
1963:               recallBlock,
1964:               recallContext.sessionState.projectPath,
1965:               recallContext.sessionState.sessionID,
1966:               getLLMClient(recallContext.config),
1967:             );
1968: 
1969:             const scope = input.scope ?? "all";
1970: 
1971:             // Store recall result for marker round-trip expansion
1972:             const storeKey = recallStoreKey(input.query, scope, input.id);
1973:             const position = ...
gateway · 2026-06-07 21:37:22
reasoning

Let me check the index.ts in core to see what's exported, and the opencode adapter to see how the OpenCode plugin invokes distillation. This will give me the full picture of how the LLM client is created.

MiniMax-M3 · 2026-06-07 21:37:22 · ~72 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/core/src/index.ts</path>
<type>file</type>
<content>
1: // @loreai/core — shared memory engine for Lore.
2: //
3: // This barrel re-exports every core module so hosts (the OpenCode plugin, the
4: // Pi extension, or any future adapter) can import from a single entry:
5: //
6: //   import { ltm, temporal, gradient, ... } from "@loreai/core"
7: //
8: // Modules that are intentionally not re-exported:
9: // - `db.ts` internals are exposed via specific functions (db(), ensureProject(), etc.)
10: // - No Plugin/Hooks surface — those live in host-specific packages.
11: 
12: export * as temporal from "./temporal";
13: export * as ltm from "./ltm";
14: export * as data from "./data";
15: export * as distillation from "./distillation";
16: export * as curator from "./curator";
17: export * as embedding from "./embedding";
18: export * as embeddingVendor from "./embedding-vendor";
19: ...
result
No files found
result
No files found
gateway · 2026-06-07 21:37:31
reasoning

The opencode and pi packages don't directly call distillation.run or curator.run — they delegate to the gateway. Let me also look for how the model is identified as req.model and any places that would skip with a warning. Let me also check the cli/import.ts and cli/import-auto.ts to see how they set up the LLM client.

MiniMax-M3 · 2026-06-07 21:37:31 · ~111 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/cli/import.ts</path>
<type>file</type>
<content>
230:   console.log("\n[lore] Starting gateway for LLM access...");
231: 
232:   // Import always runs locally — reading local agent history files.
233:   const startOpts: StartOptions = { quiet: true, local: true };
234:   const { config, owned, shutdown } = await startGateway(startOpts);
235:   const cfg = loreConfig();
236:   const defaultModel = cfg.model ?? {
237:     providerID: "anthropic",
238:     modelID: "claude-sonnet-4-6",
239:   };
240:   const llm = createGatewayLLMClient(
241:     { anthropic: config.upstreamAnthropic, openai: config.upstreamOpenAI },
242:     resolveAuth,
243:     defaultModel,
244:   );
245: 
246:   try {
247:     let totalCreated = 0;
248:     let totalUpdated = 0;
249:     let totalDeleted = 0;
250:     let _totalChunks = 0;
251:     let totalFailed = 0;
252: 
253:     for (const ...
result
Found 12 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts:
  Line 8:  * UpstreamSnapshot (threaded via opts.protocol), with fallback to the

  Line 42: /** Tracks worker session IDs so temporal capture can skip them. */

  Line 389:  * @param getAuth       Callback to resolve auth credentials (per-session → global fallback)

  Line 404:         log.warn("no auth credentials available for worker call");

  Line 418:       // Also skip when an upstream override is active — the session routes

  Line 424:           log.warn(

  Line 425:             `worker protocol mismatch: ${target.protocol} target with non-Anthropic API key — skipping (model=${model.modelID}, worker=${opts?.workerID ?? "unknown"})`,

  Line 430:           log.warn(

  Line 431:             `worker protocol mismatch: ${target.protocol} target with Anthropic API key — skipping (model=${model.modelID}, worker=${opts?.workerID ?? ...
gateway · 2026-06-07 21:37:39
reasoning

Now I have a thorough picture. Let me also briefly check the dist part of pipeline.ts to see what happens when resolveAuth returns null in the worker context (line 3045, the isAuthStale check).

Let me also check if there's anything in idle.ts that says what happens when no API key is found. Let me look at the worker-related calls in the rest of the gateway to make sure I understand.

MiniMax-M3 · 2026-06-07 21:37:39 · ~134 tokens
result
Found 67 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/pipeline.ts:
  Line 154:   isAuthStale,

  Line 383: /** Sessions that have already logged the cwd-fallback warning (dedup). */

  Line 503: // Model limits — fetched from models.dev, fallback for unknown

  Line 641:  * Start watching `.lore.md` (and the agents file as fallback) for changes.

  Line 681:   // Watch agents file (AGENTS.md etc.) as fallback

  Line 900:       providerID: "anthropic",

  Line 908:     const workerApiKey = config.workerApiKey;

  Line 911:       providerID?: string,

  Line 912:     ) => AuthCredential | null = workerApiKey

  Line 913:       ? () => ({ scheme: "api-key", value: workerApiKey })

  Line 922:     if (config.workerApiKey || config.workerUpstream) {

  Line 925:           `auth=${config.workerApiKey ? "dedicated key" : "session"}, ` +

  Line 934:       { dedicatedWorkerKey: !!workerApiKey },

  Line 937:     // ...
result
Found 24 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/translate/types.ts:
  Line 499:  * explicitly (extractAuth + authHeaders) to preserve the correct scheme.

  Line 524:   // Auth — handled separately by each builder (extractAuth + authHeaders)


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/translate/openai.ts:
  Line 15: import { extractAuth } from "../auth";

  Line 488:   const cred = extractAuth(req.rawHeaders);


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/translate/openai-responses.ts:
  Line 22: import { extractAuth } from "../auth";

  Line 274:   const cred = extractAuth(req.rawHeaders);


/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/translate/anthropic.ts:
  Line 16: import { extractAuth, ...
gateway · 2026-06-07 21:38:00
reasoning

Now I have a complete picture. Let me also check the "no auth credentials" handling around line 404 more carefully, and search for places where a model might have no matching API key. The key risk is:

  1. getWorkerModel() resolves a model from the session's lastUpstream (e.g. "gpt-4o" if session is on OpenAI, or "gemini-2.5-pro" if on Google)
  2. The model is passed to distillation.run() and curator.run()
  3. Those call input.llm.prompt() which uses the model's providerID to call getAuth(sessionID, providerID)
  4. getAuth looks up the credential by providerID in the per-session registry, then falls back to _default, then to global lastSeenAuth
  5. If the session was on Google (e.g. providerID: "google") and the global lastSeenAuth is an Anthropic key, the worker would use the Anthropic key
  6. The protocol-mismatch check at line 421-435 in llm-adapter.ts would then warn and skip the call (because the OpenAI protocol (inferred from Google's "openai" protocol) doesn't ...
MiniMax-M3 · 2026-06-07 21:38:00 · ~791 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/idle.ts</path>
<type>file</type>
<content>
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. Distillation/curation should
137:       // wait for the actual idle period after the tool-use turn completes.
138:       if (state.lastStopReason === "tool_use") continue;
139: 
140:       // Skip sessions with stale auth credentials — background LLM calls
141:       // (distillation, curation) would just 401, flooding ...
gateway · 2026-06-07 21:38:17
reasoning

I now have a thorough understanding. Let me also briefly check the model prefix route resolution to confirm what happens with gpt-4o or gemini-2.5-pro from the perspective of pipeline model identification.

I have enough now to produce a comprehensive report. Let me also do a final verification on the line numbers of key items:

  • LLMClient.prompt() in types.ts: lines 212-326
  • distillation.run() in distillation.ts: line 813
  • distillation.distillSegment() in distillation.ts: line 944
  • distillation.metaDistill() in distillation.ts: line 1193
  • curator.run() in curator.ts: line 414
  • curator.runInner() in curator.ts: line 460
  • curator.consolidate() in curator.ts: line 853
  • pattern-extract.ts: lines 151-185 (extractPatterns is regex-based)
  • llm-adapter.ts createGatewayLLMClient: line 392
  • llm-adapter.ts prompt implementation: line 400
  • llm-adapter.ts protocol mismatch check: line 421
  • llm-adapter.ts no-auth check: line 403
  • llm-adapter.ts resolveWorkerProtocol: line 192
  • ...

I have gathered enough information to give you a thorough analysis. Let me also do a final cross-check on one critical piece — the actual prompt() function and how defaultModel interacts with opts.model:

MiniMax-M3 · 2026-06-07 21:38:17 · ~590 tokens
result
<path>/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts</path>
<type>file</type>
<content>
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);

(Showing lines 399-408 of 753. Use offset=409 to continue.)
</content>
result
Found 1 matches
/home/byk/.local/share/opencode/worktree/51d1015fd1f616acf9a5ffaad9331ec6b304586b/witty-wolf/packages/gateway/src/llm-adapter.ts:
  Line 401:       const model = opts?.model ?? defaultModel;
gateway · 2026-06-07 21:40:49
reasoning

I have all the information I need. Let me now produce a comprehensive report on how the distillation and curator flows select which LLM model/provider to use and how API keys are resolved.

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:
    const model = input.model ?? config().model;
    
    Calls input.llm.prompt(DISTILLATION_SYSTEM, userContent, { model, workerID: "lore-distill", thinking: false, urgent, sessionID, maxTokens, temperature: 0 }) at distillation.ts:994–1006.
  • Meta-distillation: metaDistillInner()distillation.ts:1204–1335. Resolves model at distillation.ts:1247 (same pattern: input.model ?? cfg.model) and calls input.llm.prompt(RECURSIVE_SYSTEM, …, { … workerID: "lore-distill" … }) at distillation.ts:1250–1258.

1b. Model selection logic (in core)

  • Inherited from caller when providedinput.model?: { providerID, modelID } is the first-priority source (distillation.ts:991, 1247).
  • Falls back to config().modelLoreConfig.model is the project's own setting from .lore.json (packages/core/src/config.ts:22–27).
  • No hardcoded model name in core — core has no defaults of its own. If neither is supplied, the call is made with model: undefined; resolution then becomes the adapter's responsibility.

1c. API-key resolution

None. ...

MiniMax-M3 · 2026-06-07 21:40:49 · ~10.1K tokens