0.1.4

0.1.4 - 2026-06-25

Added

• Added OpenAI Responses store: false replay sanitization for cached
  assistant messages. Replay now drops provider-only item IDs, skips
  non-replayable reasoning and empty image-generation blocks, and preserves
  encrypted reasoning content that can safely round-trip.
• Added OpenAI apply_patch built-in tool rendering and replay parsing for
  apply_patch_call and apply_patch_call_output provider items.
• Added an offline OpenAI apply_patch example that shows request rendering and
  replayable assistant patch history without requiring live credentials.
• Added replay-backed provider conformance fixtures for OpenAI replay
  sanitization and xAI reasoning request-shape handling.
• Added WeaveScope exporter queue telemetry coverage for retry, flush,
  rejection, and dead-letter paths.
• Added tool_call_streaming to model capability profiles and exposed it through
  profile compilation, compatibility checks, and the profile matrix task.
• Added pre-projection message stream transforms, including a PII stream
  redaction helper that edits typed token/message envelopes before projection.
• Added Agent Protocol client hardening for encoded task paths,
  JSON-string/map body normalization, non-2xx error payloads, and async-subagent
  native trace metadata.
• Added a native sandbox provider registry with validated provider specs,
  builtin local provider construction, lifecycle capability checks, and redacted
  provider metadata.
• Added explicit interpreter adapter contracts and a supervised interpreter
  session boundary for adapter-owned eval, snapshot, restore, timeout, cancel,
  and close behavior without adding a default unsafe interpreter runtime.

Changed

• Anthropic tool-call IDs are now normalized deterministically at the Anthropic
  provider boundary while preserving BeamWeaver's native message and tool-call
  structs.
• xAI reasoning profiles omit unsupported stop request parameters while
  non-reasoning xAI chat-completions models continue to send supported stop
  sequences.
• Deep Agents offload and model-request metadata now use BeamWeaver-native keys
  such as :offloaded_to and :source instead of Python ecosystem labels.
• WeaveScope trace payload tests now assert native BeamWeaver/WeaveScope fields
  for run envelopes, model generation details, tool payloads, usage, lifecycle
  status, event versions, tags, and metadata.
• OpenAI and xAI stream handling now preserves empty initial chunks,
  incremental tool-call arguments, reconstructed final assistant tool calls, and
  detailed usage metadata.
• Summarization triggers now support explicit AND/OR composition with
  {:all, triggers} and {:any, triggers}.
• Human-in-the-loop middleware now supports predicate-gated review configs and
  interrupt_mode: :first for reviewing only the first matching tool call.
• Sandbox and filesystem command execution results now carry additive native
  metadata such as provider ID, sandbox ID, command ID, snapshot ID, reconnect
  count, timeout, exit status, retryability, and raw provider status when the
  backend supplies it.

Fixed

• Graph task exits, timeouts, and cancellations now preserve the BEAM root cause
  in normalized graph errors and emit native graph telemetry for failure paths.
• Checkpoint serialization tests now guard that only known BeamWeaver tagged
  structs decode, while foreign constructor-shaped maps remain inert data.
• Transport and trace redaction now cover nested bearer tokens, provider keys,
  URL credentials, query-string secrets, env-style assignments, private key
  blocks, and secret headers without redacting token-count usage fields.
• list_async_tasks refreshes active async tasks while leaving terminal task
  records cached, so completed/cancelled/error tasks are not re-polled.
• Sandbox execution, remote-provider fakes, interpreter sessions, and shell
  commands now normalize timeout/crash metadata and emit native telemetry while
  redacting credential-shaped fields before tracing.