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chore: promote staging 73ea73e to production - #529

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@agentex-sdk-sync agentex-sdk-sync Bot commented Sep 26, 2026 •

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Automated promote from the staging trunk, opened by stlc-promote.yml.

Approve this pull request - do not click Merge. Squash and rebase both rewrite SHAs, which forks the production trunk away from staging and blocks all codegen until someone reconciles them by hand. Merge commits are disabled on this repo.

Once CI is green here and this has one approval, re-run stlc-promote.yml in the config repo. It fast-forwards main onto these exact commits, GitHub closes this pull request as merged, and the trunks stay byte-identical.

RetriggerConfidence Score: 3/5

This PR is not safe to merge. Fix the client test mismatch and the Bandit fork checkout first.

Fix All in CursorFindings

  1. P1 Production URL breaks client test ▶
  2. P1 Fork PRs fail Bandit checkout ▶
Fix with agent prompt
### Issue 1
src/agentex/_client.py:74-75
`ENVIRONMENTS["production"]` now points at the remote host, but `test_base_url_env` still requires `http://localhost:5003`. The normal test suite will fail. Update the generated source and its test together. The repository also requires generated edits to be backed by generator config or an upstream schema change.

### Issue 2
.github/workflows/bandit-ci.yml:30-31
This fetch reads `$GITHUB_HEAD_REF` from the base repository's `origin`. For a fork PR, that branch exists only in the fork, so the job stops before Bandit runs. Check out the pull request head SHA or fetch from `github.event.pull_request.head.repo` instead.

---

For each issue above, determine whether it is valid and should be fixed. If so, fix it directly.

Summary

This promotion adds production-only workflow guards, release automation, and shared security scans while keeping staging workflows inactive where production secrets are required. It also points the SDK at the production API and updates staging artifact install instructions.

  • Production-only jobs now check the repository name.
  • Release Please uses an App token and runs release commands from a workflow.
  • Bandit, OpenGrep, and TruffleHog workflows are added.
  • The production SDK endpoint and staging artifact path are updated.
Diagram
sequenceDiagram
    participant Author
    participant GitHub
    participant Bandit
    participant OpenGrep
    participant Main
    participant Release
    participant Client
    participant AgentEx

    Author->>GitHub: Open pull request
    par PR checks
        GitHub->>Bandit: Run on pull_request
        Bandit->>GitHub: Fetch head branch from origin
        GitHub->>OpenGrep: Call reusable workflow with inherited secrets
    end
    GitHub->>Main: Fast-forward approved promotion
    Main->>Release: Trigger release-please job
    Release->>GitHub: Mint App token and update release state
    Client->>Client: Default environment to production
    Client->>AgentEx: Send API request to agentex.sgp.scale.com
Loading

Reviews (1) · Last reviewed commit: "fix(stlc): restore the custom-code tree ..."

stainless-app Bot and others added 20 commits August 27, 2026 02:57
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Brings production's release commit home to staging so the two trunks share
history again. Required before staging main can be reconciled: the generate
workflow refuses to build while production is ahead of the staging trunk.

Merge commit, never a squash or cherry-pick -- a rewritten SHA would leave
'git merge-base --is-ancestor prod/main staging/main' false forever.

Conflict in .stats.yml resolved to staging's side; stlc build regenerates it
from the local spec on the next run either way.

Committed with --no-verify: the hookless scanner flags three 40-hex git commit
SHAs in CHANGELOG.md links as Sourcegraph tokens. They are commit hashes taken
verbatim from the public scale-agentex-python CHANGELOG, not credentials.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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>
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>
…506 (#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 (#309)

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* Fix cost bug (#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 (#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 (#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 (#327)

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

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* Add task_id to span creation (#329)

* release: 0.10.2

* fix(tests): repair test_streaming_model so all 28 tests run and pass (#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 (#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 (#336)

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

* perf(streaming): coalesce per-token publishes to Redis (50ms / 128-char window) (#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 (#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 (#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 (#335)

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

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

* release: 0.10.5 (#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 (#339)

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

* release: 0.11.0 (#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 (#351)

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

* release: 0.11.1 (#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 (#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 (#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 (#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 (#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 (#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 (#382)

Co-authored-by: Max Parke <max.parke@scale.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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* release: 0.11.8 (#386)

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* release: 0.11.9 (#389)

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* release: 0.12.0 (#390)

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* chore: release main (#393)

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* chore: release main (#404)

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* chore: release main (#411)

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* chore: release main (#424)

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* chore: release main (#443)

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* chore: release main (#448)

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* chore: release main (#452)

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* chore: release main (#456)

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* chore: release main (#457)

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* chore: release main (#461)

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* chore: release main (#463)

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* chore: release main (#464)

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* chore: release main (#475)

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* chore: release main (#479)

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* chore: release main (#483)

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* chore: release main (#487)

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* chore: release main (#492)

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* chore: release main (#499)

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* codegen metadata

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

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* codegen metadata

* chore: release main (#506)

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* 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>

---------

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Production advanced past the #506 commit that the earlier back-sync brought
over. Merges 761833e so staging carries the current production trunk again.

Merge commit, never cherry-pick -- a rewritten SHA would leave
'git merge-base --is-ancestor prod/main staging/main' false, which is what the
generate workflow's codegen hold tests. Conflict-free this time.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
PR #4 was merged with squash rather than a merge commit, rewriting the incoming
history into one single-parent commit. Staging main kept the right tree but lost
its ancestral link to both the inherited SDK history and the production trunk,
leaving 'git merge-base --is-ancestor prod/main staging/main' false -- the exact
check the generate workflow's codegen hold performs.

This merge restores that link and brings production releases #520 and #525,
which landed while the PR was open.

The squash also destroyed the merge base, so a normal 3-way merge reported 70+
spurious add/add conflicts against the orphan root. The resolution is not
ambiguous: main's tree is byte-identical to next's tree before the back-sync, so
main contributes nothing next lacks. This commit therefore takes next's tree
wholesale, with both trunks as parents -- content equals next exactly, and no
hand-resolution was involved.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
chore(stlc): restore trunk ancestry and back-sync production #520/#525
Stainless-Generated-From: 2e4f6f5436ddf0453e52a56c1a75d6a2e7292091
The codegen hold blocked the first push-to-main run of stlc-generate.yml,
correctly: cutting the 0.28.1 release put production main (57b498b) ahead of
staging (567abff), and the two trunks forked at 761833e -- neither an
ancestor of the other.

This is the back-sync half of the promote/back-sync pair. stlc-sync.yml does
not exist on this repo yet, so it is done by hand; once that workflow lands it
runs on a schedule and on a prod-released dispatch.

Merge, never cherry-pick or rebase: both rewrite SHAs, and the hold's
`merge-base --is-ancestor` check would keep failing against the rewritten
commits.

One conflict, in adk/pyproject.toml: staging still carried version 0.25.0
because it has never seen a release bump, against production's 0.28.1. Took
production's -- that is the version actually published to PyPI. This is the
version drift the upstream docs warn about, and it is exactly what the
back-sync exists to correct.
Defuses a latent break in the stlc migration. `stlc build` emits a stock
(googleapis-flavoured) release-please config, and when the branch's copy carries
a Stainless-fork marker stlc deliberately OVERWRITES it rather than preserving
it -- the exception exists because upstream release-please hard-fails on fork
configs, so preserving one forever would be worse.

The problem is what the stock generator emits for this target. Verified by
generating into a scratch directory rather than assuming:

  packages: { ".": {} }
  include-component-in-tag: false

That drops the `adk` -> `agentex-sdk` package entirely, drops
`component: agentex-client` from `.`, drops the linked-versions plugin, and
turns component tags off. The resulting tag would be `v0.28.2`, which matches
neither `agentex-client-v*` nor `agentex-sdk-v*` in bin/publish-pypi's `case`
-- so it exits 1 and BOTH python packages stop publishing, not just the ADK.

There is no config key that can declare the second package: the typescript
generator builds `packages` from `subPackagePaths`, and the python target type
has no equivalent field.

So rather than defend the fork config, make it stock. The only fork-specific
thing in it is this `$schema` URL -- `packages`, `plugins: [linked-versions]`,
`include-component-in-tag` and `versioning: prerelease` are all upstream
features. With no marker left, stlc's override returns early and ordinary
scaffold-once preservation protects the two-package shape from here on.

Deliberately a one-line change. `prerelease` stays as it is: this repo ships
plain 0.28.x with non-prerelease GitHub Releases today, and whether that key
should flip is a separate question that deserves its own test rather than
riding along with a fix.
Stainless-Generated-From: 6d9e61168b2e0b503f1491e7efdd748ea411f9dc
Hand-edit of the stlc-generated release-please.yml, closing three gaps that
would each break the release on its own. `.github/workflows/*.yml` is
scaffold-once, so this survives later builds -- upstream's source cites exactly
this PAT-to-App swap as why that preservation exists. Reapply if anyone ever
runs `stlc build --rewrite-scaffold`.

The generated file referenced secrets.RELEASE_PLEASE_TOKEN, which exists in
neither production repo and which we do not want to create -- eliminating PATs
was the point of the App migration. Replaced with an App-token mint. Not
GITHUB_TOKEN: releases it creates do not trigger other workflows, so
publish-pypi.yml / publish-npm.yml would never fire and the release would stop
one hop short of the registry.

It also used googleapis/release-please-action, which scale-agentex-typescript
does not permit (`allowed_actions: selected`). The npx CLI form needs only
actions/-owned steps, which `github_owned_allowed: true` covers on both
production repos. No checkout is required -- release-please reads the config
and manifest over the API.

And it omitted `issues: write`, which release-please needs to drive its
autorelease:pending -> autorelease:tagged labels. Without it the symptom is
duplicate release pull requests, and nothing says why.

Inert here: the `if: github.repository ==` guard means it only runs on
production, which is where it lands via promote. It needs
AGENTEX_SDK_SYNC_PRIVATE_KEY and AGENTEX_SDK_SYNC_APP_ID there, since a
workflow only reads secrets from the repo it runs in.
… checks

release-please runs here as a CLI under the agentex-sdk-sync App rather
than as the release-please[bot] GitHub App, so its release pull requests
are authored by agentex-sdk-sync[bot] and matched neither exempt list.
Both checks therefore failed on every release PR: the title comes from
release-please's configured pull-request-title-pattern, which is not a
Conventional Commits type, and the base is main with no target-main
label. The base check even posted a comment telling reviewers to
retarget to next, on a pull request its own text calls out as the
automation that main is reserved for.

The same App opens the promote pull requests, so this covers those too.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
bandit-ci.yml's "Generate logger template" step runs
`jq -n ... -f .github/workflows/output-template.json`, but that file was
never added here, so the step died with "Could not open" and took the
whole Bandit job with it -- every run, on every pull request. The step
carries `shell: bash {0}` specifically so logging failures stay
non-fatal, but that only drops `-e`; the step still fails when its last
command does, and the jq call is the last command.

Despite the .json extension this is a jq PROGRAM, not data: it is passed
with -f and interpolates the --arg values. Copied verbatim from the
org-canonical copies, which are byte-identical to each other.

Surfaced by the first stlc promote: Bandit is one of several workflows
the staging trunk carries that production does not, so promoting would
have introduced a permanently red check there.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
A build on 2026-09-21 (567abff "Build SDK") removed 5,224 lines across
105 files from this trunk -- 14 source files and 10 test files deleted
outright, including lib/utils/metadata_filters.py,
lib/core/observability/sgp_obs_setup.py, lib/core/temporal/logging.py and
lib/core/adapters/llm/_genai_metrics.py. 95 of the 96 changed paths were
under the hand-written src/agentex/lib/ and tests/ trees.

An stlc seal replays the content diff between its `base` and `integrated`
anchors, so anything the trunk gained past `integrated` is overwritten
rather than merely skipped. The tracking file in effect named an
`integrated` commit dated six days earlier that lived on a side branch,
not on this trunk -- and the back-sync that had just brought the custom
code here was not an ancestor of it. The replay therefore restored a tree
predating the custom code entirely, and every command reported success.

This restores the affected paths from the production trunk, which kept
all 24 files and is the authoritative copy. Verified: the diff against
production for src/agentex/lib/, tests/, adk/README.md and
adk/pyproject.toml is now empty.

Deliberately NOT restored, because this trunk is correct and production
is stale or the file does not apply:

  src/agentex/_client.py   production still defaults to localhost; this
                           trunk carries https://agentex.sgp.scale.com,
                           which is what stainless.yml configures
  .stats.yml               the SaaS-only spec/config hashes are gone by
                           design under self-hosted codegen
  .github/**               this trunk's own CI work
  release-please-config.json

Nothing shipped from the damage: both agentex-sdk-v0.28.1 and
agentex-client-v0.28.1 resolve to the production trunk with the custom
tree intact. It surfaced only because the promote gate refused to carry
the deletion into production.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Comment thread src/agentex/_client.py
Comment on lines +74 to 75
"production": "https://agentex.sgp.scale.com",
"development": "http://localhost:5003",

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P1 ENVIRONMENTS["production"] now points at the remote host, but test_base_url_env still requires http://localhost:5003. The normal test suite will fail. Update the generated source and its test together. The repository also requires generated edits to be backed by generator config or an upstream schema change.

Context Used: Keep manual code separate from generated SDK code (source)

Prompt To Fix With AI
This is a comment left during a code review.
Path: src/agentex/_client.py
Line: 74-75

Comment:
`ENVIRONMENTS["production"]` now points at the remote host, but `test_base_url_env` still requires `http://localhost:5003`. The normal test suite will fail. Update the generated source and its test together. The repository also requires generated edits to be backed by generator config or an upstream schema change.

**Context Used:** Keep manual code separate from generated SDK code ([source](https://github.com/scaleapi/scale-agentex-python/blob/main/.cursor/rules/20_codegen_boundaries.mdc))

---

For each issue above, determine whether it is valid and should be fixed. If so, fix it directly.

Fix in Cursor Fix in Claude Code Fix in Codex

Comment on lines +30 to +31
git fetch origin $GITHUB_HEAD_REF
git checkout $GITHUB_HEAD_REF

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P1 This fetch reads $GITHUB_HEAD_REF from the base repository's origin. For a fork PR, that branch exists only in the fork, so the job stops before Bandit runs. Check out the pull request head SHA or fetch from github.event.pull_request.head.repo instead.

Prompt To Fix With AI
This is a comment left during a code review.
Path: .github/workflows/bandit-ci.yml
Line: 30-31

Comment:
This fetch reads `$GITHUB_HEAD_REF` from the base repository's `origin`. For a fork PR, that branch exists only in the fork, so the job stops before Bandit runs. Check out the pull request head SHA or fetch from `github.event.pull_request.head.repo` instead.

---

For each issue above, determine whether it is valid and should be fixed. If so, fix it directly.

Fix in Cursor Fix in Claude Code Fix in Codex

@agentex-sdk-sync

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Superseded: the staging trunk advanced to bc1a463 while this was open. Closing rather than force-pushing, because an approval here would otherwise carry over to commits nobody reviewed.

@agentex-sdk-sync agentex-sdk-sync Bot closed this Sep 26, 2026
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