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release: 0.10.5 - #343

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Automated Release PR

0.10.5 (2026-05-05)

Full Changelog: v0.10.4...v0.10.5

Features

  • api: api update (ffaecd5)
  • openai_agents: expose real usage, response_id, plumb previous_response_id, opt-in prompt_cache_key for stateful responses and prompt caching (#335) (ba5d64b)

Chores

  • internal: reformat pyproject.toml (ba06702)
  • internal: reformat pyproject.toml (3faf5d5)
  • internal: version bump (168cc44)
  • internal: version bump (5715828)

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The semver version number is based on included commit messages. Alternatively, you can manually set the version number in the title of this pull request.

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Greptile Summary

  • Introduces batched span dispatch: AsyncSpanQueue._process_items now groups spans per-processor and calls on_spans_start/on_spans_end in one call, letting processors like SGPAsyncTracingProcessor send a single upsert_batch HTTP request per drain cycle instead of one request per span.
  • Adds status and task_metadata filter parameters to tasks.list() (sync and async), and task_metadata to ParamsCreateTaskRequest in both RPC param types, matching an API spec update.
  • Three issues flagged in prior review threads remain open in sgp_tracing_processor.py: _spans populated before the HTTP call (stale state on failure), shutdown() calling into a None client when disabled=True, and a production assert in span_queue.py.

Confidence Score: 3/5

Three P1-level issues from prior review threads remain unaddressed; this PR adds a new mutual-recursion trap in the processor interface.

The prior review identified three concrete bugs (assert stripped with -O, _spans populated before upsert, shutdown() AttributeError when disabled). None were fixed in this PR. This PR additionally introduces the mutual-recursion interface design issue. Score is pulled below the P1 ceiling due to multiple unresolved P1 findings.

src/agentex/lib/core/tracing/processors/sgp_tracing_processor.py and src/agentex/lib/core/tracing/processors/tracing_processor_interface.py

Important Files Changed

Filename Overview
src/agentex/lib/core/tracing/processors/tracing_processor_interface.py Adds default batched on_spans_start/on_spans_end fan-out; the fan-out calls on_span_start, creating a mutual-recursion trap when subclasses delegate on_span_start back to on_spans_start without overriding on_spans_start.
src/agentex/lib/core/tracing/processors/sgp_tracing_processor.py Refactors single-span methods to delegate to new batch methods; _spans is populated before the disabled guard and before the HTTP call, leaving orphaned entries on failure or when disabled (flagged in prior review threads); shutdown() still lacks a disabled guard.
src/agentex/lib/core/tracing/span_queue.py _process_items refactored to group spans per-processor and call batched methods; assert guards the same-event-type precondition (assert is stripped with -O, flagged in prior review).
src/agentex/resources/tasks.py Adds status and task_metadata filter parameters to list() on both sync and async variants; straightforward generated-SDK change.
src/agentex/types/task_list_params.py Adds status and task_metadata TypedDict fields aligned with the new tasks.py parameters.
tests/lib/core/tracing/processors/test_sgp_tracing_processor.py Adds batch-path tests for on_spans_start/on_spans_end verifying single upsert_batch call and correct span counts.

Sequence Diagram

sequenceDiagram
    participant Caller
    participant AsyncSpanQueue
    participant SGPAsyncTracingProcessor

    Caller->>AsyncSpanQueue: enqueue(START, span, processors)
    AsyncSpanQueue->>AsyncSpanQueue: _drain_loop: collect batch, split START/END
    AsyncSpanQueue->>SGPAsyncTracingProcessor: on_spans_start([span1, span2, ...])
    SGPAsyncTracingProcessor->>SGPAsyncTracingProcessor: build sgp_spans, populate _spans
    SGPAsyncTracingProcessor->>SGPAsyncTracingProcessor: upsert_batch(items=[...])

    Caller->>AsyncSpanQueue: enqueue(END, span, processors)
    AsyncSpanQueue->>SGPAsyncTracingProcessor: on_spans_end([span1, span2, ...])
    SGPAsyncTracingProcessor->>SGPAsyncTracingProcessor: pop from _spans, update fields
    SGPAsyncTracingProcessor->>SGPAsyncTracingProcessor: upsert_batch(items=[...])
Loading

Fix All in Cursor Fix All in Claude Code Fix All in Codex

Prompt To Fix All With AI
Fix the following 1 code review issue. Work through them one at a time, proposing concise fixes.

---

### Issue 1 of 1
src/agentex/lib/core/tracing/processors/tracing_processor_interface.py:44-65
**Mutual-recursion trap between `on_span_start` and `on_spans_start`**

The base class default `on_spans_start` fans out to `self.on_span_start`. `SGPAsyncTracingProcessor` now overrides `on_span_start` to delegate to `self.on_spans_start([span])`. These two work together safely only because SGP also overrides `on_spans_start`. Any future subclass that copies the delegation pattern from `on_span_start → on_spans_start` without also overriding `on_spans_start` will recurse infinitely at runtime — and since `on_span_start` is abstract (must be implemented) while `on_spans_start` is not (silently inherits the fan-out default), the type system gives no warning. A brief note in the `on_spans_start` docstring warning that if `on_span_start` delegates to this method, `on_spans_start` must also be overridden would prevent this silent trap.

Reviews (21): Last reviewed commit: "release: 0.10.5" | Re-trigger Greptile

Greptile also left 1 inline comment on this PR.

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@declan-scale declan-scale changed the title release: 0.11.0 release: 0.10.5 May 5, 2026
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Release version edited manually

The Pull Request version has been manually set to 0.10.5 and will be used for the release.

If you instead want to use the version number 0.11.0 generated from conventional commits, just remove the label autorelease: custom version from this Pull Request.

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michaelxu2288 pushed a commit to michaelxu2288/scale-agentex-python that referenced this pull request Oct 1, 2026
…caleapi#506 (scaleapi#4)

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* feat(adk): allow all ClaudeAgentOptions in run_claude_agent_activity

* release: 0.9.8

* Bump LiteLLM and urllib3

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* fix(client): preserve hardcoded query params when merging with user params

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* release: 0.9.9

* feat(adk): Revamp run_claude_agent_activity to use more streaming (scaleapi#309)

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* Fix cost bug (scaleapi#313)

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* release: 0.9.10

* Fix crash when .dockerignore file is missing during cloud build

The build context preparation crashes with FileNotFoundError when a
manifest specifies a dockerignore path but the file doesn't exist on
disk. This adds an existence check and logs a warning instead of
crashing, so builds proceed with no ignore patterns.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add AgentCard for self-describing agent capabilities (scaleapi#296)

* Add AgentCard feature for self-describing agent capabilities via registration_metadata

* Add tests for AgentCard feature, fix PEP 604 union unwrap in extract_literal_values

* Fix ruff import sorting in __init__.py and test file

* Fix pyright strict errors: use Enum isinstance checks, add override decorators in tests

* Add AgentCard.from_states() classmethod for list[State] + initial_state usage

* Minimize registration.py diff: only add agent_card param and merge logic

* Add missing AGENTEX_DEPLOYMENT_ID to test mock env vars

* fix(temporal): allowing-ACP-temporal-telemetry

* fix: Temporal Union deserialization causing tool_response messages to be lost

Temporal's payload converter deserializes Union types by trying each
variant in order. ToolResponseContent was silently misdeserialized as
TextContent (both share 'author' and 'content' fields), creating text
messages instead of tool_response messages in the database.

Fix: hooks now pass .model_dump() dicts to the activity, and the
activity reconstructs the correct Pydantic model using the 'type'
discriminator. Also fix test polling to handle the DONE/tool_response
ordering race condition.

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* feat(api): api update

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* fix: ensure file data are only sent as 1 parameter

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* release: 0.10.0

* Add ShellTool support to TemporalStreamingModel

openai-agents introduced a next-generation ShellTool (replacing
LocalShellTool) that carries an environment config like
{"type": "local", "skills": [...]}. The Temporal streaming model was
dropping it with "Unknown tool type: ShellTool, skipping", so agents
running through AgentEx/Temporal lost the tool entirely even though
plain Runner.run(...) worked.

Serialize ShellTool to the Responses API "shell" payload, defaulting
environment to {"type": "local"} when unset. Import is guarded so
users on older openai-agents versions (ShellTool not yet exported)
continue to work.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Upgrade openai-agents to 0.14.1 and temporalio to >=1.26.0

ShellTool (the next-gen replacement for LocalShellTool) is only
exported in modern openai-agents versions. With the old 0.4.2 pin
the ShellTool branch added in the prior commit was unreachable by
default-install users.

Bumps:
- openai-agents 0.4.2 -> 0.14.1
- temporalio >=1.18.2 -> >=1.26.0 (matches the version that supports
  ShellTool serialization in temporalio.contrib.openai_agents)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Narrow ComputerTool.computer union for Responses API serialization

openai-agents 0.14 widened ComputerTool.computer to accept factory
types (ComputerCreate/ComputerProvider) that don't expose environment
or dimensions. Match the upstream pattern: narrow to Computer /
AsyncComputer before reading those attributes, and validate that
environment/dimensions are set.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

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* release: 0.10.1

* add support for Temporal PayloadCodec (scaleapi#328)

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* perf(client): optimize file structure copying in multipart requests

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* feat(api): api update

* fix(adk): fix to queue drain (scaleapi#327)

Co-authored-by: Declan Brady <declan.brady@scale.com>

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* Add task_id to span creation (scaleapi#329)

* release: 0.10.2

* fix(tests): repair test_streaming_model so all 28 tests run and pass (scaleapi#334)

Four pre-existing bugs left this entire test file unrunnable on main (4
failures + 24 errors); fixing them here so the suite actually exercises
TemporalStreamingModel and protects against regressions.

Bug 1 (24 errors): `conftest.py` defines fixture `mock_adk_streaming` (no
underscore) but every test in TestStreamingModelSettings and
TestStreamingModelTools requested it as `_mock_adk_streaming`, so pytest
failed to resolve the fixture before the body ever ran. The fixture is
``autouse=True`` and the param value was never used in any test body, so
the parameter was vestigial — replaced with `_streaming_context_vars`,
which provides the ContextVar setup these tests now actually need.

Bug 2 (4 failures): `TemporalStreamingModel.get_response()` reads
`task_id`, `trace_id`, and `parent_span_id` from ContextVars populated
by `ContextInterceptor` from request headers in real Temporal flows.
Tests had been passing `task_id=...` as a kwarg, which is silently
swallowed by `**kwargs` and ignored, so all three ContextVars stayed at
their defaults and the validation at the top of `get_response` raised
before any work happened. New `_streaming_context_vars` fixture in
conftest sets all three vars (and resets them on teardown), simulating
what `ContextInterceptor` does in production.

Bug 3 (test_computer_tool): A recent commit narrowed `ComputerTool`
serialization to require an actual `Computer`/`AsyncComputer` instance,
but `sample_computer_tool` still built a bare `MagicMock`. Switched to
`MagicMock(spec=Computer)` so the production isinstance check passes.

Bug 4 (3 streaming-context tests): The 3 tests in TestStreamingModelBasics
that assert on `streaming_task_message_context` calls built event
sequences with raw `MagicMock(type="...")`. Production dispatches via
`isinstance(event, ResponseOutputItemAddedEvent)` etc., which `MagicMock`
without `spec` never satisfies, so dispatch was silently skipped and
the assertions failed. Switched to `MagicMock(spec=...)` for each event
type — passes isinstance without triggering pydantic validation on the
event's required fields. Also fixed `test_task_id_threading` which had
been asserting against a hardcoded `task_id="test_task_12345"` that was
never actually threaded anywhere (the kwarg was ignored, just like in
Bug 2); it now asserts against the value yielded by the fixture, which
is the value production reads from the ContextVar.

After all four fixes: 28/28 pass, ruff clean, pyright clean.

* release: 0.10.3 (scaleapi#330)

* feat(api): api update

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* chore(internal): more robust bootstrap script

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* fix: use correct field name format for multipart file arrays

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* feat: support setting headers via env

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* fix: allow litellm security patch (scaleapi#336)

* fix(adk): Always inject headers on execute activity (scaleapi#337)

* perf(streaming): coalesce per-token publishes to Redis (50ms / 128-char window) (scaleapi#333)

* perf(streaming): coalesce per-token publishes to Redis (50ms / 128-char window)

Per-token Redis publishes from TemporalStreamingModel were adding ~45s
(56-62%) overhead to agent response latency, mostly from head-of-line
blocking on the model's event loop: each `await streaming_context.stream_update(...)`
inside the OpenAI stream `async for` paused token consumption until the
publish round-trip completed.

This change introduces a `CoalescingBuffer` driven by an `asyncio.Event`,
so the producer never awaits on Redis. Deltas are merged consecutive-only
(preserving character order in every (type, index) channel) and flushed
on a 50ms timer, on a 128-char size threshold, or immediately for the
first delta to keep perceived responsiveness high. The buffer's `close()`
drains remaining deltas before the DONE event, so consumers see the full
sequence in order.

A new `StreamingMode = Literal["off", "per_token", "coalesced"]` lives
in `streaming.py` as the single source of truth and is plumbed through
the adk streaming module, `StreamingService.streaming_task_message_context`,
and `StreamingTaskMessageContext`. Default is `"coalesced"` everywhere,
so all 13+ existing context callers (claude_agents, langgraph, litellm
provider, openai sync provider, etc.) benefit automatically.

* chore(streaming): fix import ordering (ruff I001)

* fix(streaming): address greptile review findings

- _run: when CancelledError is raised mid-flush in the for-loop, re-enqueue
  the in-flight item plus any remaining items in the local `drained` list
  back into self._buf so close()'s final drain can recover them. Previously
  the local `drained` list was unreachable after CancelledError exited the
  for-loop, causing the last coalesced batch to be silently dropped on
  close-during-flush races. Trade-off: the in-flight item may be duplicated
  on the consumer side (Redis pub may have completed before cancel was
  delivered), which is preferable to silent loss for streaming UX.

- _merge_pair: replace `return b` fallback with AssertionError. All six
  current TaskMessageDelta variants have explicit isinstance branches, so
  the fallback is unreachable today. But _can_merge returns True for any
  same-type pair, so adding a 7th delta variant without updating
  _merge_pair would silently drop `a`'s accumulated content. Asserting
  turns a future silent data-loss into an immediate, diagnosable crash.

* test(streaming): add coalescing-layer tests; loosen one model assertion

After merging the test-suite repair from main (scaleapi#334) into this branch, one
model test (test_responses_api_streaming) regressed because its
assert_called_with strict-matched all kwargs of streaming_task_message_context
and didn't tolerate the new `streaming_mode='coalesced'` kwarg this PR
adds. Switched to assert_called() + targeted kwarg checks so the test
verifies what it cares about (task_id threading) without locking in
implementation details.

Replaced the ad-hoc smoke scripts that lived in conversation with a real
pytest module at tests/lib/core/services/adk/test_streaming.py covering:

- _delta_char_len, _can_merge, _merge_pair: per-channel correctness +
  None-handling
- _merge_consecutive: pure-text collapse, cross-channel order preservation,
  per-channel reconstruction matches per-token semantics
- CoalescingBuffer: first-delta-immediate flush within ~20ms,
  size-threshold flush before timer fires, multi-delta coalescing within
  one window, idle close, add-after-close no-op
- CoalescingBuffer cancel-during-flush regression test for the P1 fix:
  five queued chunks must all surface across publishes when close()
  cancels mid-flush (asserts substring presence rather than exact
  ordering, since the documented trade-off allows duplicates of the
  in-flight item)
- StreamingTaskMessageContext mode dispatch: "off" suppresses publishes
  but persists full content, "per_token" publishes each delta synchronously,
  "coalesced" batches and persists full content

* chore(streaming): route TemporalStreamingModel logger through make_logger

The model file used raw ``logging.getLogger("agentex.temporal.streaming")``,
which returns a logger with no handler attached and no level configured —
so the existing ``[TemporalStreamingModel] Initialized ... streaming_mode=...``
INFO log was silently dropped, making it impossible to verify at runtime
that a coalesced (or any) streaming mode was actually wired.

Switch to the SDK's ``make_logger`` helper (level=INFO, RichHandler in
local mode, StreamHandler otherwise) used everywhere else in the SDK.
The explicit logger name ``agentex.temporal.streaming`` is preserved so
any external logging configuration targeting that name keeps working.

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* feat(api): api update

* release: 0.10.3

---------

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Brandon Allen <brandon.allen@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>

* release: 0.10.4 (scaleapi#338)

Co-authored-by: alvinkam2001 <alvin.kam@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* feat(openai_agents): expose real `usage`, `response_id`, plumb `previous_response_id`, opt-in `prompt_cache_key` for stateful responses and prompt caching (scaleapi#335)

Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>

* build(deps) bump scale-gp-beta to 0.2.0 (scaleapi#344)

* release: 0.10.5 (scaleapi#343)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Alvin Kam <alvin.kam@scale.com>

* Fix Redis stream leak: MAXLEN on xadd + sliding TTL on stream keys (scaleapi#339)

* ci: add conventional commit and PR base checks (scaleapi#346)

* release: 0.11.0 (scaleapi#345)

Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* fix: render .env.example template in agentex init (scaleapi#351)

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* release: 0.11.1 (scaleapi#350)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Devon Peticolas <devon.peticolas@scale.com>

* release: 0.11.2 (scaleapi#357)

Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* release: 0.11.3 (scaleapi#358)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>

* release: 0.11.4 (scaleapi#364)

Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* release: 0.11.5 (scaleapi#369)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>

* release: 0.11.6 (scaleapi#376)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Matteo Librizzi <matteo.librizzi@scale.com>

* release: 0.11.7 (scaleapi#382)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Matteo Librizzi <matteo.librizzi@scale.com>
Co-authored-by: Stas Moreinis <smoreinis@gmail.com>

* release: 0.11.8 (scaleapi#386)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Matteo Librizzi <matteo.librizzi@scale.com>
Co-authored-by: Stas Moreinis <smoreinis@gmail.com>
Co-authored-by: James Cardenas <james.cardenas@scale.com>

* release: 0.11.9 (scaleapi#389)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Matteo Librizzi <matteo.librizzi@scale.com>
Co-authored-by: Stas Moreinis <smoreinis@gmail.com>
Co-authored-by: James Cardenas <james.cardenas@scale.com>

* release: 0.12.0 (scaleapi#390)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore: release main (scaleapi#393)

Co-authored-by: Jerome Romualdez <jerome.romualdez@scale.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>

* chore: release main (scaleapi#404)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#411)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Matteo Librizzi <matteo.librizzi@scale.com>
Co-authored-by: Stas Moreinis <smoreinis@gmail.com>
Co-authored-by: James Cardenas <james.cardenas@scale.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>

* chore: release main (scaleapi#424)

Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Vijay Kalmath <158184866+vkalmathscale@users.noreply.github.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>

* chore: release main (scaleapi#443)

Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: OpenAI <openai@example.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#448)

Co-authored-by: Endre Berki <endre.berki@scale.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#452)

Co-authored-by: Jerome Romualdez <jerome.romualdez@scale.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#456)

Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#457)

Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Vijay Kalmath <158184866+vkalmathscale@users.noreply.github.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>

* chore: release main (scaleapi#461)

Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Levi Lentz <levi.lentz@scale.com>

* chore: release main (scaleapi#463)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>

* chore: release main (scaleapi#464)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>

* chore: release main (scaleapi#475)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Deepthi Rao <deepthi.rao@scale.com>

* chore: release main (scaleapi#479)

Co-authored-by: Deepthi Rao <deepthi.rao@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#483)

Co-authored-by: Deepthi Rao <deepthi.rao@scale.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>

* chore: release main (scaleapi#487)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Javed Shaik <javed.shaik@scale.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Alvin Kam <alvin.kam@scale.com>

* chore: release main (scaleapi#492)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* chore: release main (scaleapi#499)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Alvin Kam <alvin.kam@scale.com>

* codegen metadata

* feat(tracing): add opt-in commit SHA stamping for SGP spans (scaleapi#505)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* codegen metadata

* chore: release main (scaleapi#506)

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Cynthia Wang <cynthia.wang@scale.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: Rishav Chakravarti <rishav.chakravarti@scale.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>

* ci: guard production-only workflows so they no-op on staging

The promote model keeps staging main and production main SHA-identical, so
every workflow file is shared. Four of them are production-app-specific and
have none of their secrets on staging, where they would run and fail red on
every codegen push -- and permanently red staging CI is what makes a genuinely
red build invisible.

Guarded on github.repository: agentex-tutorials-test (TUTORIAL_* keys),
build-and-push-tutorial-agent (PACKAGE_TOKEN), harness-integration, and
publish-pypi (matching the ts side, whose publish-npm is already guarded).

Entry jobs only -- dependents skip via needs -- except test-summary, which is
if: always() and so needed the condition ANDed.

ci.yml is deliberately left unguarded: it references no secrets and running
the SDK's own lint/test on staging is a useful signal that codegen is sound.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* ci(bandit): read scan results from file instead of passing them as argv

The 'Format results appropriately from results.json' step passed the entire
results file as a single shell argument:

  jq --argjson scanResults "$(<tmp.json)" ...

Linux caps one argv entry at MAX_ARG_STRLEN (128KB, 32 pages) regardless of the
much larger total ARG_MAX, so once a scan produced more than ~128KB of findings
the step died with 'Argument list too long' (exit 126) and failed the whole job
-- even though 'shell: bash {0}' and the comment above it intend the logging
step to be non-fatal.

--slurpfile reads the file directly, so the payload size stops mattering. It
wraps the file's values in an array, hence the [0]. Verified to produce
byte-identical output to the old form on small inputs, and to handle 20k
findings (3.2MB) where the old form exits non-zero.

This surfaced on the staging reconciliation PR, where bandit's baseline scan
runs against a main branch that has no Python in it -- so every finding in all
792 files landed in results.json at once.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

---------

Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
Co-authored-by: Declan Brady <declan.brady@scale.com>
Co-authored-by: Raj Krishnan <raj.krishnan@scale.com>
Co-authored-by: Daniel Miller <daniel.miller@scale.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Prassanna Ravishankar <prassanna.ravishankar@scale.com>
Co-authored-by: Bruce Pannaman <bruce.pannaman@scale.com>
Co-authored-by: Bruce Pannaman <brucey31@users.noreply.github.com>
Co-authored-by: Endre Berki <endre.berki@scale.com>
Co-authored-by: Levi Lentz <levilentz@gmail.com>
Co-authored-by: Stas Moreinis <stas.moreinis@scale.com>
Co-authored-by: Brandon Allen <brandon.allen@scale.com>
Co-authored-by: alvinkam2001 <alvin.kam@scale.com>
Co-authored-by: Devon Peticolas <devon.peticolas@scale.com>
Co-authored-by: Jean Lucas <jeanlpf@hotmail.com>
Co-authored-by: Michael Chou <michael.chou@scale.com>
Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Matteo Librizzi <matteo.librizzi@scale.com>
Co-authored-by: Stas Moreinis <smoreinis@gmail.com>
Co-authored-by: James Cardenas <james.cardenas@scale.com>
Co-authored-by: Jerome Romualdez <jerome.romualdez@scale.com>
Co-authored-by: Nitesh Dhanpal <NiteshDhanpal@users.noreply.github.com>
Co-authored-by: Vijay Kalmath <158184866+vkalmathscale@users.noreply.github.com>
Co-authored-by: OpenAI <openai@example.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Levi Lentz <levi.lentz@scale.com>
Co-authored-by: Deepthi Rao <deepthi.rao@scale.com>
Co-authored-by: Javed Shaik <javed.shaik@scale.com>
Co-authored-by: Cynthia Wang <cynthia.wang@scale.com>
Co-authored-by: Rishav Chakravarti <rishav.chakravarti@scale.com>
Co-authored-by: stlc-bot <stlc-bot@users.noreply.github.com>
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