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fix(approvals): continue approved tools when tool messages are excluded - #420
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Priority: ➖ Normal Change: Bug fix · Severity of issue fixed: Medium Merge Risk: ⚪ Minimal · up to
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Review comments at @src/vercel/client/search.ts:
- Around line 657-680: Update the approval-continuation logic in
fetchRecentAndSearchMessages so it retrieves the complete target order’s
approval request and response, even when that exchange exceeds the completion
window. Do not use target.stepOrder + 1 as the retrieval limit, since later
messages in the same order can consume it; preserve the existing behavior of
replacing only that order in recentMessages.
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src/vercel/client/search.tssrc/vercel/client/toolApprovals.test.ts
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I don't like that we're papering over a more fundamental issue with additional query calls. The more fundamental issue being that "exclude tool calls" and "continue generation on an order with tool calls" are kind of incompatible desires. My guess is that the "exclude tool calls" feature is mostly about reducing context bloat for previous turns, but that the promptMessageId order should always return all tool calls, unless it's "finished" (ends with a non-tool-call agent message). wdyt @robelest ? |
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That makes sense. The current patch leaves the policy split: the normal recent-history query excludes tool messages, then the client reads the exact target to identify an approval response and pages that order back in. The paging handles orders beyond the existing bounded history-completion window; it does not establish whether the turn is finished. I agree that preserving tool exchanges for an unfinished prompt order is the better direction to settle first. One boundary to retain is that I'll hold off on a rewrite while you and @robelest align, including how this should fit with #416. Once that rule is agreed, I can revise the retrieval behavior and regression coverage around it. |
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Agreed, I went with that in #427: with Thanks @as992949791 for the repro, it pinned this down. |
…ToolMessages (#427) Fixes #409. With `excludeToolMessages`, the order being continued lost its tool call and approval decision, so approved tools never ran. `listMessagesByThreadId` now also returns tool messages for the `upToAndIncludingMessageId` order, as one more index range in the same merged stream; earlier orders stay filtered and `cloneThread` keeps strict exclusion. Alternative to #420 without extra queries. Known limit, filed as #433: a continued order longer than the 1,000-message completion window is still trimmed from context, for every caller.
Summary
Fixes #409. With
excludeToolMessages: true, the persisted approval response is filtered out before continuation detection, so approved tools never execute.Restore only a successful approval response in the requested thread when no prompt override is supplied, together with its complete message order. Recovery pages the existing query until that order is complete, with at most 1,000 messages per page; later same-order messages cannot displace the target exchange. Ordinary history filtering/completion limits and existing approval validation remain unchanged.
Evidence
approveToolCall→generateTextregression fails with exclusion enabled:expected [] to deeply equal ['a']. Orders exceeding the prior completion window also fail with an empty prompt, both before and after the targeted decision.After: all 509 tests across 41 files pass, including 71 approval tests. The long-order cases preserve executed results without re-execution and exclude newer approved requests; denied/unanswered, history, input-tampering, thread/order and prompt-override controls also pass.
build:cleancodegen requires an unavailableCONVEX_DEPLOYMENT. The regular package build used by CI passes against unchanged checked-in generated sources. No schema, generated files, manifests, or lockfiles changed.Merge Danger
Door: two-way
Blast Radius: context
Only explicit approval continuation with tool exclusion uses order recovery. Its cost grows with the continued order; each query remains bounded, and earlier-order rows are discarded. Uses AI-assisted implementation and native local tests with mock providers; no paid-provider calls.