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kevin9327andClaude Opus 4.8
a42f84cfe7
A provider that reuses a tool call id across two rounds of one run
wedges the run permanently. `ToolDispatcher::start_batch` skips any call
whose id is in `ToolBatchState::completed`, so the second call is never
dispatched and never produces a `ToolCompletion`, while
`tool_round::execute` blocks waiting for `calls.len()` results with no
timeout on that path. The client sees the tool call appear and then
nothing: no completion, no further output, no end-stream frame.
The `completed` set is built once per run and never cleared, so it is
run-scoped. A tool call id is only unique within a round, which the
schema already states as `UNIQUE (round_id, call_id)`; the sibling
runtime completed-map is likewise already cleared per round at
output.rs:615.
Clear `completed` when `ExecuteToolRound` begins a new round, tracked
independently of `active_round` so it does not depend on the order in
which ToolRoundStarted and ExecuteToolRound are observed. Replaying a
round still skips the calls that round already committed.
The practical trigger is openai_chat.rs:196, which synthesizes
`call-{index}` from a per-stream index when a provider omits tool call
ids, so `call-0` recurs on every model call. That file is left alone
here.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>