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Harden tool call streaming and download task state#26

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christopherkarani wants to merge 3 commits intomainfrom
audit-frameworks-issues-20260219
Open

Harden tool call streaming and download task state#26
christopherkarani wants to merge 3 commits intomainfrom
audit-frameworks-issues-20260219

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@christopherkarani
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Summary

  • add a validated PartialToolCall initializer and skip malformed tool call metadata in OpenAI streaming
  • prevent download task progress/state updates from overwriting terminal states
  • gate diffusion downloader tests behind the MLX trait and required imports

Testing

  • swift build (warnings: deprecated String(cString:) usage in DeviceCapabilities, Sendable warning for EncodingError.invalidValue)
  • swift test (reports 356 tests passed; command returned exit status 1 in this environment)

Add a validating PartialToolCall initializer and use it in OpenAI streaming to skip malformed tool call metadata instead of crashing. Add coverage for the validating initializer.
Ignore progress/state updates after a download has already reached a terminal state, and add regression tests for cancellation locking.
Align DiffusionModelDownloaderTests compilation with the production MLX trait and import availability to avoid test build failures on non-MLX platforms.
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claude bot commented Feb 19, 2026

Code Review

Overall this is a well-targeted PR that addresses real robustness issues. The changes are minimal, correct, and include tests. A few observations below.


GenerationChunk.swift — Validated PartialToolCall initializer

Good:

  • The failable init?(validating:) is the right pattern for untrusted external data. The existing init(id:toolName:index:argumentsFragment:) uses precondition(), which terminates the process on bad provider data — this PR correctly routes external data through the safe path.
  • Delegating to self.init(...) avoids duplicating the assignment logic.

Observation — guard conditions mirror preconditions exactly:
Both the guard in init?(validating:) and the preconditions in init(id:...) check identical predicates. This is safe today, but if either side drifts (e.g. the index bound changes in one place), the other won't catch it. Consider a brief comment coupling them, or extracting a shared isValid helper that both use.

Missing boundary tests:

  • index: -1 (negative) is not tested. Negative indices should also produce nil, but there is no test covering this. The 0...maxToolCallIndex range should reject it, but worth confirming explicitly.
  • Boundary values index: 0 and index: 100 (the valid edges) are not tested. Confirm index: 100 returns a non-nil result and index: 101 returns nil — currently only 101 is covered.

OpenAIProvider+Streaming.swift — Skip malformed tool calls

Good:

  • Using the failable initializer here and removing the accumulator entry on failure is correct. It prevents memory accumulation for a tool call that can never be finalized.
  • The warning log is useful for diagnostics.

Observation — silent discard of later fragments:
When validation fails and the accumulator is removed, any subsequent function.arguments fragments for that same index are silently dropped (the if var acc = toolCallAccumulators[index] branch simply won't match). This is the correct behavior — there's nothing useful to do with arguments for an invalid tool call — but a brief comment near that branch explaining why a missing accumulator is not an error would help future readers.


DownloadProgress.swift — Terminal state protection

Good:

  • The guard is correctly positioned inside the lock, making the check-and-skip atomic.
  • Fixes a real race: a cancelled download could still receive in-flight progress callbacks.

Minor — no observability when updates are dropped:
When updateState or updateProgress silently returns early, there is no log line. For debugging asynchronous download flows, a logger.debug("Ignoring update — already in terminal state") (or similar) would save investigation time. Quality-of-life suggestion, not a bug.


DiffusionModelDownloaderTests.swift — Compile condition

Good:

  • Adding CONDUIT_TRAIT_MLX makes the gate explicit; canImport(Hub) alone was too loose.

Nit — stale #endif comment:
Line 776 still reads #endif // canImport(Hub). Now that the opening condition is CONDUIT_TRAIT_MLX && canImport(MLX) && (canImport(Hub) || canImport(HuggingFace)), the trailing comment is misleading. Update it to match or drop it.


Test coverage

The new tests are well-structured and use Swift Testing (#expect) consistently with the rest of the PartialToolCall suite, and XCTestCase for DownloadTaskTests — matching the existing pattern in those files.

Suggestions:

  • Add a validatingInitRejectsNegativeIndex test (e.g. index: -1)
  • Add validatingInitAcceptsBoundaryIndices testing index: 0 and index: 100

Summary

Area Verdict
Correctness No bugs found
Concurrency safety Lock held across check-and-update
Test coverage Mostly good; negative/boundary index cases missing
Code style Consistent with the codebase
Performance No regressions
Security Net positive — prevents crash via malformed remote data

Two actionable items before merging:

  1. Stale #endif // canImport(Hub) comment in DiffusionModelDownloaderTests.swift
  2. Missing index: -1 / index: 0 / index: 100 boundary tests for the validating initializer

Everything else is optional polish.

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