fix(memory): forward BYOK chat model through /api/memory/extract - #5177
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Quick housekeeping before pool review: the root-cause / changes / testing write-up is clear, but could you add the Also flagging this early: this PR will need a manual QA pass before merge, so please hold off self-merging for now — we'll pull QA in once it's merge-ready. |
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@xxiaoxiong thanks for the clear root-cause write-up and the focused fix. I found one compile-time blocker in the web-side change: the new memory snapshot reads a property that is not currently part of the BYOK provider config contract, so the PR fails apps/web typecheck until that model value is threaded through a typed source.
| apiKey: byokOpenCodeProvider.apiKey, | ||
| baseUrl: byokOpenCodeProvider.baseUrl, | ||
| apiVersion: byokOpenCodeProvider.apiVersion, | ||
| model: byokOpenCodeProvider.model, |
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This new field currently breaks the web typecheck because byokOpenCodeProvider is typed as ByokChatProviderConfig, and that shared contract only exposes protocol, apiKey, baseUrl, apiVersion, and requiresApiKey; it does not include model. CI is failing on this exact line with TS2339: Property 'model' does not exist on type 'ByokChatProviderConfig', so the PR cannot merge as-is even though the runtime intent is right. Please thread the selected chat model from a typed source, for example by adding an optional model field to ByokChatProviderConfig in packages/contracts/src/api/chat.ts and populating it from config.model in byokOpenCodeProviderFromConfig, or by building this memory-only snapshot directly from config.model where the request is made.
Visual regression reviewHead: 40 changed · 13 unchanged · 0 new without baseline · 0 failed Changed cases
20 additional changed case(s) omitted from this comment. Unchanged cases
Visual diff is advisory only and does not block merging. |
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Hey @xxiaoxiong — the current blocker is @mrcfps’s typed-contract note on the web-side 💡 To drive this PR to merge hands-free, paste this to your AI coding agent (Claude Code / Codex / opencode / Cursor …): |
…mory extraction (nexu-io#5177) The web-side memory snapshot was reading byokOpenCodeProvider.model but the BYOK config contract had no model property, causing a compile-time type error. Add an optional model field so the daemon can forward the user's chat-model picker choice to memory extraction.
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Hey @xxiaoxiong — thanks for pushing the contract update. The earlier typed-contract blocker is now on a stale head, and CI is green again on this one, so I’ve re-requested @mrcfps for a fresh pass. |
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@xxiaoxiong thanks for pushing the contract update and keeping the fix focused. I found one remaining runtime blocker: the memory extraction snapshot now has a typed model field, but the value still is not populated from the active BYOK chat config, so the PR does not yet satisfy the MiniMax/non-OpenAI model-priority fix.
| apiKey: byokOpenCodeProvider.apiKey, | ||
| baseUrl: byokOpenCodeProvider.baseUrl, | ||
| apiVersion: byokOpenCodeProvider.apiVersion, | ||
| model: byokOpenCodeProvider.model, |
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This still does not actually send the selected BYOK chat model. The added field reads byokOpenCodeProvider.model, but byokOpenCodeProvider is created by byokOpenCodeProviderFromConfig() and that factory still returns only protocol, apiKey, baseUrl, requiresApiKey, and apiVersion; it never copies config.model. As a result this property serializes as undefined, memory.ts receives no chatProvider.model, and pickProvider() continues to choose envOverrideModel || explicitModel || defaults.model with explicitModel === '', falling back to gpt-4o-mini for OpenAI-compatible BYOK endpoints like MiniMax. That is the bug this PR is meant to fix. Please populate the provider snapshot from the active chat model, for example by adding model: config.model in byokOpenCodeProviderFromConfig() or by setting model: config.model directly in this memory-only byokChatProvider object.
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Hey @xxiaoxiong — @mrcfps found one remaining blocker on the current head: the new |
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@mrcfps @lefarcen review fix pushed. What changed:
The contract field is the typed gate @mrcfps requested. With this in place, Ready for another look. |
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Hey @xxiaoxiong — thanks for the update. Looking at the current head, the open blocker is still the same runtime one @mrcfps called out: the contract now allows Once that actual |
Address review comment on PR nexu-io#5177: byokOpenCodeProviderFromConfig() did not copy config.model into the returned ByokChatProviderConfig, so byokChatProvider.model serialized as undefined and /api/memory/extract fell back to the hardcoded default (gpt-4o-mini) for OpenAI-compatible BYOK endpoints like MiniMax. Threading config.model through ensures the chat-selected model reaches memory extraction. Reviewed-by: mrcfps (review comments on ProjectView.tsx:5049)
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Hey @xxiaoxiong — thanks for pushing the follow-up. On the current head, the earlier runtime blocker from @mrcfps now looks stale, so I’ve re-requested @mrcfps for a fresh pass on this revision. |
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@xxiaoxiong thanks for pushing the follow-up; the runtime wiring that carries config.model into the BYOK snapshot now looks correct. I found one remaining merge blocker: the live web workspace test job is failing because the BYOK request-shape expectations were not updated for the new model field, so this needs the test fixture/expectation update before the PR is ready.
| protocol: config.apiProtocol, | ||
| apiKey: config.apiKey.trim(), | ||
| baseUrl: config.baseUrl, | ||
| model: config.model, |
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This field fixes the runtime wiring, but it also changes the BYOK provider payload shape that the web run-isolation tests lock down. The live Web workspace tests job on this head is failing in tests/components/ProjectView.run-isolation.test.tsx at the BYOK request assertions around lines 1531 and 1564: the actual calls now include byokProvider.model (llama3.2 / model), while the expected payloads still omit it. Because Validate workspace fails only through that web test failure, the PR cannot merge until the test contract matches this intentional shape change. Please update those expectations to include the selected model, or narrow the assertions if the exact nested provider object is not meant to be the contract.
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Hey @xxiaoxiong — thanks for the follow-up. The runtime wiring looks past the earlier blocker now; the remaining merge blocker on this head is the |
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Hey @xxiaoxiong — thanks for pushing this forward. The runtime wiring looks past the earlier blocker now; the remaining merge blocker on this head is the |
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@mrcfps @lefarcen review fix pushed. What changed:
The previously failing |
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@xxiaoxiong thanks for sticking with this through the contract, wiring, and test updates. The previous web workspace test blocker is fixed on this head, but I found one remaining main-path concern in how the BYOK model snapshot reaches memory extraction. Because this reviewer has already left three request-changes reviews on the PR, I am leaving this as a COMMENT and asking maintainers to decide the merge bar after the path is checked.
🔁 Powered by Looper · runner=reviewer · agent=codex · An autonomous AI dev team for your GitHub repos.| apiKey: byokOpenCodeProvider.apiKey, | ||
| baseUrl: byokOpenCodeProvider.baseUrl, | ||
| apiVersion: byokOpenCodeProvider.apiVersion, | ||
| model: byokOpenCodeProvider.model, |
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This now copies the selected model into the BYOK snapshot, but this snapshot still appears to be attached only to the pre-turn /api/memory/extract call. The request body just below sends userMessage, projectId, conversationId, and chatProvider, but no assistantMessage; in apps/daemon/src/routes/memory.ts, extractWithLLM() only runs when hasAssistant is true. The separate daemon close-handler path in apps/daemon/src/server.ts does have the assistant output, but it only passes chatAgentId: byok-opencode and chatModel; it does not pass this chatProvider, and chatProtocolFromAgentId() does not map byok-opencode to the user's actual BYOK provider/base URL.
That means the model value added here does not seem to reach the post-turn pickProvider() call that was falling back to gpt-4o-mini, so MiniMax/OpenAI-compatible BYOK memory extraction can still take the legacy env/media-config path instead of the user's BYOK endpoint. Please either send a post-turn /api/memory/extract request with both assistantMessage and the same byokChatProvider, or thread the BYOK provider snapshot into the daemon close-handler memoryOptions so pickProvider() receives the provider, base URL, API key, and selected model on the actual LLM extraction pass.
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Review fix pushed. What changed:
The fixtures now align with the runtime wiring @mrcfps verified in the last review. Web workspace tests should pass on the next CI run. Ready for another look. |
Root cause: Two issues preventing non-OpenAI BYOK providers (e.g.
MiniMax) from working with memory-llm extraction:
1. Web side (ProjectView.tsx): The BYOK chatProvider snapshot sent
to /api/memory/extract was missing the `model` field. Without it,
pickProvider() fell through to PROVIDER_DEFAULTS.openai.model
('gpt-4o-mini'), which doesn't exist on non-OpenAI endpoints.
2. Daemon route (memory.ts): The /api/memory/extract POST handler
did not extract body.chatModel, unlike every other memory route.
Even when the web side passes a model, it was silently dropped.
Changes:
- ProjectView.tsx: Add `model: byokOpenCodeProvider.model` to the
BYOK chatProvider snapshot so pickProvider() can use the user's
actual chat model (e.g. 'MiniMax-M3').
- routes/memory.ts: Read `body.chatModel` and forward it to
extractWithLLM options, matching the pattern used by all other
memory routes.
Testing: typecheck passes for apps/web (affected packages). The
daemon typecheck requires pre-built @open-design/release which is
a separate toolchain concern.
…mory extraction (nexu-io#5177) The web-side memory snapshot was reading byokOpenCodeProvider.model but the BYOK config contract had no model property, causing a compile-time type error. Add an optional model field so the daemon can forward the user's chat-model picker choice to memory extraction.
Address review comment on PR nexu-io#5177: byokOpenCodeProviderFromConfig() did not copy config.model into the returned ByokChatProviderConfig, so byokChatProvider.model serialized as undefined and /api/memory/extract fell back to the hardcoded default (gpt-4o-mini) for OpenAI-compatible BYOK endpoints like MiniMax. Threading config.model through ensures the chat-selected model reaches memory extraction. Reviewed-by: mrcfps (review comments on ProjectView.tsx:5049)
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Thanks for filling in the Surface area section — that makes the scope much clearer. One small body follow-up before pool review wraps up: could you add a brief bug-fix verification note for the MiniMax / non-OpenAI path itself? The Testing section covers typecheck, but the red→green verification seam for "memory extraction now uses the selected BYOK chat model instead of falling back" still isn't captured yet. |
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@xxiaoxiong thanks for the quick follow-up on the test expectations; the web workspace test blocker is cleared on this head. I found one remaining BYOK memory-extraction path concern that still looks worth maintainer attention, so I am leaving it as a non-blocking comment under the reviewer cap.
🔁 Powered by Looper · runner=reviewer · agent=codex · An autonomous AI dev team for your GitHub repos.| apiKey: byokOpenCodeProvider.apiKey, | ||
| baseUrl: byokOpenCodeProvider.baseUrl, | ||
| apiVersion: byokOpenCodeProvider.apiVersion, | ||
| model: byokOpenCodeProvider.model, |
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This now includes the selected BYOK model in the /api/memory/extract snapshot, but this request still appears to run only the pre-turn heuristic path: the JSON body below sends userMessage and chatProvider, but no assistantMessage, while apps/daemon/src/routes/memory.ts only calls extractWithLLM() when hasAssistant is true. The actual post-turn extraction for byok-opencode is queued from the daemon close handler in apps/daemon/src/server.ts, and that path forwards chatAgentId/chatModel but not the byokProvider snapshot; chatProtocolFromAgentId() also does not map byok-opencode to the user's BYOK endpoint. So the model added here may still not reach the main LLM extraction pass that was falling back to gpt-4o-mini for MiniMax/OpenAI-compatible BYOK users.
Please either send a post-turn /api/memory/extract call with both assistantMessage and this same byokChatProvider, or thread the run-scoped byokProvider through the daemon close-handler memoryOptions as chatProvider so pickProvider() receives the provider, base URL, API key, and selected model on the extraction pass that has the assistant reply.
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Hey @xxiaoxiong — the remaining blocker on this head is @mrcfps’s latest BYOK memory-extraction path note: the selected provider/model still needs to reach the extraction pass that runs with the assistant reply, not just the pre-turn snapshot. Once that post-turn path is wired, this should be ready for another pass. |
The daemon close handler creates memoryOptions for pickProvider() but
never forwarded the per-call BYOK provider snapshot ('byokProvider'
from the chat request body). This meant post-turn LLM memory extraction
always fell through to environment/default provider detection instead
of using the user's selected BYOK provider and endpoint.
Added 'chatProvider: byokProvider ?? null' to the memoryOptions object
so pickProvider() can run 'Same as chat' extraction against the user's
actual provider/config, matching the behavior of the pre-turn
/api/memory/extract path.
Addresses reviewer feedback on PR nexu-io#5177 (fix nexu-io#5162).
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Review fix pushed (commit What changed
Why this closes the remaining blocker Verification
Ready for another look. |
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@xxiaoxiong thank you for following through on the post-turn memory path and keeping the patch focused. The earlier contract, wiring, and web-test issues are cleared, and the focused contracts/web/daemon typechecks plus memory tests pass locally. One main-path shape mismatch remains in the new close-handler handoff; because this reviewer has already submitted three request-changes reviews on this PR, I am leaving it as a COMMENT for maintainer decision.
🔁 Powered by Looper · runner=reviewer · agent=codex · An autonomous AI dev team for your GitHub repos.| // Forward the per-call BYOK provider snapshot so pickProvider() | ||
| // can run "Same as chat" extraction against the user's actual | ||
| // provider/endpoint/model instead of falling back to defaults. | ||
| chatProvider: byokProvider ?? null, |
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The new handoff still passes the wrong provider shape into the actual post-turn extraction. Here, byokProvider is the ByokChatProviderConfig from the chat request, whose discriminator is protocol; pickProvider() only enters its BYOK branch when chatProvider.provider exists and is a key in PROVIDER_DEFAULTS. Consequently a MiniMax/OpenAI-compatible run reaches this line with { protocol: 'openai', ... }, the snapshot is ignored, and extraction can still fall through to the legacy OpenAI/default path and select gpt-4o-mini—the production failure this PR is intended to fix. Please normalize the request contract before passing it, for example to { provider: byokProvider.protocol, apiKey: byokProvider.apiKey, baseUrl: byokProvider.baseUrl, apiVersion: byokProvider.apiVersion, model: byokProvider.model ?? safeModel }, or update pickProvider() to consume ByokChatProviderConfig consistently. Please also add a close-handler/provider-selection regression test that proves an OpenAI-compatible custom base URL selects the supplied endpoint and model; the current focused tests pass because none exercises this new handoff.
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Hey @xxiaoxiong — the remaining blocker on this head is still @mrcfps’s latest note: the close-handler is forwarding the chat-request BYOK shape ( Once that handoff is normalized and the regression test covers the close-handler/provider-selection path, this should be ready for another pass. |
…tion (nexu-io#5177) The close handler forwarded byokProvider ({ protocol, ... }) directly as chatProvider, but memory-llm.pickProvider expects { provider, ... } with provider being a PROVIDER_DEFAULTS key. Now we map protocol → provider the same way the web pre-turn path does (ProjectView.tsx L5894).
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Review fix pushed ( What changed
Behavior matrix
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CI on the new head The fix mirrors the exact mapping the web pre-turn path uses in @lefarcen / @mrcfps — could one of you take a re-look at the new head? The remaining issue from @mrcfps's 2026-07-14 03:24 review should be addressed. |
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@xxiaoxiong thank you for continuing to tighten the post-turn provider handoff. The MiniMax/OpenAI-compatible model path is now normalized correctly, and the repository guard, full workspace typecheck, web suite, and focused daemon memory tests pass locally. I found one remaining supported keyless-BYOK path that the new normalization does not preserve; under the reviewer cap I am leaving it as a non-blocking comment for maintainer follow-up.
🔁 Powered by Looper · runner=reviewer · agent=codex · An autonomous AI dev team for your GitHub repos.| model?: string; | ||
| } | null = byokProvider | ||
| ? { | ||
| provider: (byokProvider as { protocol?: string }).protocol ?? undefined, |
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Please preserve the keyless-provider policy in this normalization. byokProvider may legitimately carry requiresApiKey: false—the existing daemon chat-route coverage uses exactly that shape for a local OpenAI-compatible endpoint—but this new object copies only protocol, key, URL, API version, and model. Downstream, pickProvider() enters the chat-BYOK branch only when apiKey is non-empty, so a successful keyless vLLM or local Ollama chat skips its supplied endpoint/model during post-turn extraction and can fall through to unrelated environment or media-config credentials (including the gpt-4o-mini default this PR is avoiding). Please thread requiresApiKey through, allow the BYOK branch when it is explicitly false, and omit the Authorization header when no key is required. A regression test should exercise a post-turn provider snapshot with an empty key, requiresApiKey: false, a local base URL, and a selected model, then assert that extraction calls that URL/model rather than a fallback.
…ction (nexu-io#5177) Three-part fix for keyless BYOK (local vLLM / Ollama / openai-compatible servers with requiresApiKey=false): 1. server.ts normalization: thread requiresApiKey through to the memoryChatProvider snapshot so pickProvider() can distinguish keyless endpoints from missing-provider cases. 2. memory-llm pickProvider() BYOK gate: relax the apiKey guard so endpoints explicitly marked with requiresApiKey=false enter the BYOK branch instead of falling through to env/media-config fallbacks (which would route to unrelated OpenAI credentials / gpt-4o-mini). 3. memory-llm callOpenAI(): conditionally emit Authorization header only when apiKey is non-empty, preventing empty Bearer from being sent to keyless local servers that would reject it.
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修复了 mrcfps 在最后 review 中指出的 keyless-BYOK 路径缺口。三处修改：
CI 将在 push 后自动触发，基于上一个 head（8e0d6a13a）的 18/18 全绿结果。 |
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@xxiaoxiong thank you for the careful follow-through on this BYOK memory extraction fix — the iteration history shows real persistence, and this head finally closes the full chain.
What I verified on ca7b152
- Web snapshot —
byokOpenCodeProviderFromConfig()copiesconfig.model, and the pre-turn extract payload includesmodel, so the selected chat model is no longer dropped before it leaves the UI. - Post-turn close handler —
server.tsnormalizes{ protocol, ... }→{ provider, ... }forpickProvider(), and now also forwardsrequiresApiKeyandmodelon that snapshot. - Keyless BYOK gate —
pickProvider()enters the chat-BYOK branch whenrequiresApiKey === falseeven with an empty key, instead of falling through to env/media-configgpt-4o-mini. - HTTP call layer —
callOpenAI()only attachesAuthorizationwhen a key is present, so keyless local endpoints are not hit with emptyBearer. - Agent-id interaction —
chatProtocolFromAgentId('byok-opencode')returnsnull, so the chat-protocol path does not short-circuit before the BYOK branch on the daemon close-handler path that actually runs LLM extraction.
That covers the MiniMax/OpenAI-compatible model-priority failure from #5162 and the later keyless local-endpoint gap from the previous review round. Nice, focused work — appreciate you sticking with the shape mismatches until pre-turn and post-turn agreed.
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🧪 Queued for QA validation — this PR changes the BYOK memory-extraction path, so it still needs a manual QA pass before merge. Nothing needed from you right now; we’ll update here once validation is done. Thanks for sticking with the iterations. 🙏 |
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Thanks for the contribution. I completed QA validation for this PR.
QA Acceptance Record
Scope:
- BYOK memory extraction model/provider forwarding for
/api/memory/extractand the daemon post-turn extraction path. - MiniMax Anthropic-compatible BYOK runtime path on PR head
ca7b152bff20708f2abcf23401b9274666659337.
Verified:
- Current PR head remained
ca7b152bff20708f2abcf23401b9274666659337during validation. - CI is green on the current head, including Web workspace tests, Workspace unit tests, E2E Vitest, UI P0 groups, Preflight, Static gate, and Validate workspace.
- Local PR runtime started from
/Users/mac/open-design/pr-5177-webwith webhttp://127.0.0.1:52888and daemonhttp://127.0.0.1:52887. - MiniMax provider check succeeded with
anthropic api.minimax.io model=MiniMax-M2.7-highspeed -> 200. - Triggered
/api/memory/extractwith the active MiniMax BYOK config; the extraction completed withphase=success, providerkind=anthropic, modelMiniMax-M2.7-highspeed, andcredentialSource=chat-byok. - No fallback to OpenAI /
gpt-4o-miniand nomemory-llmbackground failure appeared in the daemon log.
Not verified:
- Packaged desktop build path was not separately exercised; this PR's changed behavior was validated against the live daemon/web runtime path that performs BYOK memory extraction.
Risks / notes:
- The test extraction produced
proposedCount=0/writtenCount=0, so it did not add a persistent memory entry while still proving provider selection and LLM extraction completion. - Keyless local BYOK behavior is code-reviewed/CI-covered here but was not separately smoked with a live local vLLM/Ollama endpoint in this QA pass.
Conclusion:
- Accepted. The MiniMax/non-OpenAI BYOK model-priority regression is validated on the current head, and the PR is ready from QA.
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Closes #5162
Root Cause
When a BYOK user configures a non-OpenAI endpoint (e.g. MiniMax via
https://api.minimax.io/v1), the memory-llm extractor was silently falling back togpt-4o-miniand failing with HTTP 400. Two gaps in the call chain caused the user's chat model to be dropped before it reachedpickProvider().Changes
apps/web/src/components/ProjectView.tsx (+1 line)
The per-turn
byokChatProvidersnapshot sent to/api/memory/extractincludedprovider,apiKey,baseUrl, andapiVersionbut omittedmodel. Without the model field,pickProvider()'sexplicitModelbranch saw an empty string and fell through toPROVIDER_DEFAULTS.openai.model.apps/daemon/src/routes/memory.ts (+5 lines)
The
/api/memory/extractPOST handler did not readbody.chatModel, unlike the other memory routes that already do (lines 408, 456, 504). Even when the web side included the model, it was silently dropped beforeextractWithLLMwas called.How these work together
model→ 2. Route reads and forwardschatModel→ 3.pickProvider()receives it viaenvOverrideModel || explicitModel || defaults.model→ 4. BYOK chat model wins overgpt-4o-miniTesting
pnpm --filter @open-design/web typecheckpasses@open-design/releaseas a pre-built dependency (separate CI toolchain); the change is mechanically identical to the three sibling routes that already extract and forwardchatModelFollow-up
As @lefarcen noted on the issue, the extraction failure should ideally surface to the user (not just daemon logs). That could be a separate improvement.
Surface area
Notes: The daemon already accepts chatModel in the snapshot body; this PR threads it through so memory-llm uses the user's model picker instead of hardcoding gpt-4o-mini. BYOK users will see memory extraction work with their configured model for the first time. Requires manual QA to confirm memory extraction fidelity across providers.