* fix(runtime): persist a rejected HITL call in the resume run's history
An approval pause and its resolution are two Runs. The paused Run dispatches
the gated call; the resume Run produces its result. An approved call executes
and reaches on_tool_end, but a rejection is written by HITL after_model with no
tool callback. Journal reconciliation only persists such middleware-written
results for calls dispatched by the current Run, so the rejection stayed in
checkpoint state and never reached the run-event history: /messages and the
resume run's messages had no llm.tool.result for it.
The worker already reads the durable interrupt payload to recover the gated
tool names. It now also returns each paused tool_call_id with its name, and the
resume journal adopts those calls, so the existing reconciliation persists the
rejection under the resume Run. Approved results keep their tool-callback event
and are deduplicated by message id; results from other earlier Runs are still
not re-attributed.
* fix(runtime): keep HITL replay names independent of call adoption
Derive the replay-gate tool names and the adopted call ids separately
from the matched pause's actions, so an action without a usable
tool_call_id still gates replay. Pin that the all-reject escape paths
(approval disabled, gated tools changed or cleared while paused) reach
the history feed under the resume run, check resume-run attribution in
the mixed-decision test, and add a CHANGELOG entry.
* refactor(runtime): drop unused _pending_hitl_resume_calls wrapper
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* refactor(agent): ground runtime decisions in structured evidence
Use producer status and structured errors for tool recovery, preserve memory context without lexical confirmation, and remove predetermined receipt and skill conclusions.
Require explicit MCP discovery and authenticated schedule trial actions. Preserve authorization, ownership, isolation, and bounded execution; update documentation and regression coverage.
* test(sandbox): expect read_file initialization error callback
* fix(agent): address evidence review follow-ups
* fix(agent): preserve retry budgets for OpenAI transport errors
* fix(agent): expose tool execution status in model requests
Project validated execution metadata and exact tool text into request-only JSON so status survives provider serialization. Preserve stored results and receipt hashes, cover SDK and graph boundaries, and migrate replay input hashes without changing recorded responses.
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
