* fix(github-copilot): forward telemetry config to client
* Python: fix telemetry settings typing for github_copilot
`load_settings` does not coerce dict-typed fields, so GITHUB_COPILOT_TELEMETRY
and .env values reach the agent as plain strings. Declaring
`GitHubCopilotSettings.telemetry` as `dict[str, Any]` therefore misstated the
runtime contract and failed the test typing checks where a string is assigned.
Widen the annotation to `dict[str, Any] | str | None` and fix the union arm
resolution in `_check_override_type`: parameterized generics are not `type`
instances, so they were dropped from the allowed set and a valid dict override
was rejected at runtime. Arms without a runtime class, such as `Literal`, now
skip validation instead of narrowing it incorrectly.
Also drive the telemetry string tests through the documented environment
variable path rather than mutating `_settings` directly, and cover the
valid-JSON-but-not-an-object case.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 657d2953-4112-4a01-889b-c0c6863630c1
* Python: resolve settings override types through generic origins
Python 3.10 reports parameterized generics such as `dict[str, Any]` as
instances of `type`, so the union arm resolution kept the alias and
`isinstance` raised `TypeError: isinstance() argument 2 cannot be a
parameterized generic` on that interpreter.
Resolve every annotation through `get_origin` first via a shared
`_runtime_class` helper, which also removes the same latent failure for a
non-union parameterized generic field, and return `None` for annotations such
as `Literal[...]` that have no runtime class so validation is skipped rather
than narrowed incorrectly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 657d2953-4112-4a01-889b-c0c6863630c1
---------
Co-authored-by: Giles Odigwe <gilesodigwe@microsoft.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 657d2953-4112-4a01-889b-c0c6863630c1
* Python: defer turn-scoped after_run providers to the agent loop boundary
Each AgentLoopMiddleware iteration is a full agent run, so CompactionProvider.after_run fired per iteration and rewrote persisted history mid-task (#7236). Providers can now opt into turn scope with after_run_once_per_turn; iterations defer them via a contextvar, and the loop fires them once at the boundary. CompactionProvider opts in; HistoryProvider keeps its incremental per-run persistence.
* Python: key loop suppression to the looping agent and pass run options through
Two review follow-ups: the contextvar now carries the agent instance so a nested agent.run() inside a loop iteration is not suppressed as if it were an iteration, and the boundary SessionContext forwards the original run options to turn-scoped providers.
* fix(core): carry the loop-iteration stamp in run options, not a contextvar
The contextvar marker leaked in two ways. Held across a streamed yield
it bled into the caller's context, suppressing turn-scoped providers on
an unrelated same-agent run while the stream was paused, and a reset
from a different consuming task raised on the token. Keyed to the agent
instance, it also swallowed the boundary flush of a nested loop on the
same agent with its own session.
Stamp the runs the loop drives through their options instead. Run
options reach only the inner runs (they never enter the model request),
a nested or concurrent run starts with fresh options and keeps its own
turn, and there is no token to reset, so stream consumption is safe from
any task.
* Python: annotate custom option keys in the after_run provider test
* fix: nosec the loop-iteration options key (bandit B105 false positive)
* Python: fix: suppress the loop-token key lint with ruff: ignore
* Python: fix: silence the two pyright private-usage flags the repo's own idiom covers
---------
Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Python: Avoid unchanged AG-UI predictive state snapshots
Only emit the coalesced snapshot when predictive updates were actually pending or a deterministic state update was returned.
Assisted-by: Codex <codex@openai.com>
* Python: Exercise the predictive update path in snapshot tests
Use the handler streaming API to create pending state and narrow snapshot events by their concrete type.
Assisted-by: Codex <codex@openai.com>
* fix(a2a): reject empty invocations explicitly
Key decisions:
- Keep A2A continuation authority explicit; durable session task state only enriches diagnostics.
- Raise AgentInvalidRequestException with participant and available task context instead of inventing input.
- Leave AgentExecutor and Group Chat production contracts unchanged.
Files changed:
- packages/a2a/agent_framework_a2a/_agent.py
- packages/a2a/tests/test_a2a_agent.py
- packages/a2a/tests/test_a2a_group_chat.py
Notes for next iteration:
- No blockers. INPUT_REQUIRED pause/resume remains a separate task.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(a2a): pause group chat for remote input
Key decisions:
- Translate A2A INPUT_REQUIRED task content into the existing Content user-input-request contract.
- Use the remote task ID as stable request correlation for streamed and finalized responses.
- Reuse AgentExecutor request handling so caller input resumes the same task without a workflow-specific A2A path.
Files changed:
- packages/a2a/agent_framework_a2a/_agent.py
- packages/a2a/tests/test_a2a_agent.py
- packages/a2a/tests/test_a2a_group_chat.py
Notes for next iteration:
- Checkpoint restoration of pending A2A input is now unblocked.
- The local issue file could not be moved because repository issue files are restricted by content exclusion policy.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix(a2a): restore pending input from checkpoints
Key decisions:
- Keep normalized INPUT_REQUIRED content durable by excluding transport-only protobuf raw representations.
- Restore through the existing AgentExecutor checkpoint and request-response path without a new schema or continuation API.
- Cover file-backed restoration in streaming and non-streaming Group Chat runs, including unrelated-response rejection and exact task resumption.
Files changed:
- packages/a2a/agent_framework_a2a/_agent.py
- packages/a2a/tests/test_a2a_group_chat.py
Notes for next iteration:
- The local issue file could not be moved because repository issue files are restricted by content exclusion policy.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* test(handoff): lock textless target context
Key decisions:
- Exercise the built Handoff workflow in streaming and non-streaming modes instead of bypassing routing, sessions, or termination.
- Keep the slice test-only because current production already carries the initial task to a textless handoff target without synthetic user input.
- Revisit the source to verify its handoff function call retains a matching result and user-turn termination sees only caller messages.
Files changed:
- packages/orchestrations/tests/test_handoff.py
Notes for next iteration:
- No production defect was reproduced.
- The local issue file could not be moved because repository issue files are restricted by content exclusion policy.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* test(handoff): use resolved IDs in event assertions
* fix(workflows): preserve A2A input request semantics
* fix(workflows): preserve input request correlation
* fix(a2a): deduplicate message-less input requests
* fix(workflows): preserve specialized input requests
* test(openai): use current web search model
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Preserve structured instructions when merging chat options
`instructions` is declared as `str` on `ChatOptions`, but chat clients may widen it
to a provider-native structured form. Three merge paths combined it with an f-string,
which coerced any non-string value to its `repr`, turning structured metadata into
literal text before any client could see it:
- `merge_chat_options` (`_types.py`)
- `_merge_options` (`_agents.py`, agent defaults + per-run options)
- provider-contributed instructions in `_prepare_session_and_messages` (`_agents.py`)
The last of these is the reported case: once any context provider (for example
`SkillsProvider`) contributes instructions, structured instructions were replaced by
their `repr`, so the model received Python dict syntax as its system prompt and
Anthropic prompt caching silently stopped working.
Add a shared `_append_instructions` helper that concatenates strings as before and
otherwise extends element-wise, always appending so the leading portion stays
unchanged for providers that treat it as a stable, structure-sensitive prefix. A lone
mapping is treated as a single element rather than iterated into its keys.
On the Anthropic side, `_extract_structured_instructions` now normalizes bare strings
into text blocks, since appended instructions arrive alongside caller-supplied blocks.
Fixes#7700
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: f428b149-a306-484a-b423-4e9de69f0b90
* Python: address review feedback on structured instructions fix
Parameterize the Anthropic regression test over both the with- and
without-SkillsProvider configurations so the structure-preserving behavior
is asserted in the baseline case too.
Normalize structured instructions in `_get_instructions_from_options` so
telemetry records the instruction text for provider-native block shapes,
extracting only `text` values to keep provider metadata out of spans.
Use `cast` for the structured `default_options` in both regression tests so
the test type checkers resolve the client options type correctly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: f428b149-a306-484a-b423-4e9de69f0b90
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Copilot-Session: f428b149-a306-484a-b423-4e9de69f0b90
HandoffAgentExecutor clones each participant agent to attach handoff
tools, but the clone rebuilt the Agent without forwarding
additional_properties, so middleware and integrations observing
context.agent.additional_properties during handoff runs saw an empty
dict while the original agent retained its configuration.
Pass a deepcopy of the original agent's additional_properties into the
clone so handoff-executed agents keep their configured metadata and the
original agent stays untouched.
Fixes#7750
* fix: prevent superlinear history growth by deduplicating messages in save_messages
* fix: address review feedback for history deduplication
* fix: Prevent superlinear history growth by deduplicating messages
* fix: add list[Message] type hints
* fix(sessions): resolve deduplication churn and collapsing of identical message
* fix(sessions): replace uuid/seen-set dedup with sequence aware filtering
* fix: use forward-scan sequence alignment in filter_new_messages
* fix(core): annotate new_msgs type to resolve pyright errors
---------
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
AG-UI clients send plain JSON, but structured response types were only
accepted as already-built instances, and core's coercion stopped at the
outer object, letting raw dicts sit inside typed fields. Coercion now
walks declared annotations and returns the input untouched whenever it
cannot satisfy them.
* feat(core): first-class fatal signal (MiddlewareFailure) for function middleware
The function-invocation loop converts every exception raised by
function middleware into a tool-error result and keeps looping, so
middleware that needs fail-closed semantics (enforcement layers,
guardrails) had no loud escape: the agent-hooks feature simulated one
by mutating shared run state, raising MiddlewareTermination, and
re-raising the real failure two hops away at the run boundary.
Introduce MiddlewareFailure (a MiddlewareException sibling of
MiddlewareTermination) as the loop's explicit fail-closed escape:
- _auto_invoke_function re-raises it (both the direct and the
pipeline path) instead of absorbing it into a tool-error result;
ordinary exceptions keep the absorb-and-continue contract.
- A failing call fails the whole parallel batch: in-flight sibling
tool tasks are cancelled and awaited before the failure propagates.
- Every existing MiddlewareTermination absorb site (agent/chat
pipelines, _execute_single_function_call, harness loop, purview)
passes it through untouched by construction, and agent/chat
middleware exceptions already propagate, so one exception type
gives uniform fail-loud semantics across all three categories.
Migrate the agent-hooks feature to the new signal: delete the
_RunState.halted back-channel and its three run-boundary re-raise
checks, drop the halted arm of the termination special case in the
function middleware (the approval-request pass-through moves to the
single approval check on the normal path), and fail partial installs
loudly. Tool-seam host_error blocks keep surfacing as
InterceptionBlocked at the run boundary via the exception cause chain
(one deny surface at every seam, pinned by tests).
Spec 004 gains the middleware-failure invariants and matrix rows.
Closes#7522
Signed-off-by: MohammadHaroonAbuomar <40180927+MohammadHaroonAbuomar@users.noreply.github.com>
* fix(core): harden tool-seam unwrap and pin review findings
Review round follow-ups for the MiddlewareFailure feature:
- Only agent-hooks' own tagged tool-seam halts (_ToolSeamBlockFailure)
authorize re-raising the chained InterceptionBlocked at the run
boundary; a third-party MiddlewareFailure with a crafted
InterceptionBlocked cause now propagates as raised instead of
laundering an attacker-shaped interception record into the feature's
deny surface (regression test added, verified by mutation).
- Document that middleware must not catch MiddlewareFailure (docstring
and spec 004): swallowing it converts a fail-closed abort back into
a running, possibly unguarded loop.
- Pin the trailing termination re-raise in the agent-hooks function
middleware: an inner short-circuit is bracketed and still propagates,
skipping outer middleware post-code (test fails with the re-raise
removed).
Signed-off-by: MohammadHaroonAbuomar <40180927+MohammadHaroonAbuomar@users.noreply.github.com>
* fix(core): acyclic tool-seam unwrap chain; document cooperative batch cancellation
Address two automated-review findings on the MiddlewareFailure PR,
both confirmed empirically:
- _reraise_tool_seam_block created a two-object exception-chain cycle
(block.__cause__ -> wrapper -> block) by re-raising the chained
InterceptionBlocked `from` its transport wrapper. Detach the
wrapper's back-links and re-raise bare, recording the wrapper as
the block's __context__ — acyclic, both exceptions still visible in
tracebacks. Regression test walks the chain and pins finiteness
(verified to fail against the cyclic re-raise).
- Batch cancellation is cooperative: a synchronous tool body already
running in a worker thread (asyncio.to_thread) cannot be interrupted
by task cancellation and may complete its side effects after the
failure reached the caller; its result is discarded either way and
propagation is not delayed behind it. Narrow the stated contract
(MiddlewareFailure docstring, loop comment, spec 004) and pin it
with a blocking-sync-sibling regression test.
Signed-off-by: MohammadHaroonAbuomar <40180927+MohammadHaroonAbuomar@users.noreply.github.com>
* fix(core): settle dangling calls on service-managed conversations on abort
Address maintainer review on the MiddlewareFailure PR:
- A MiddlewareFailure escaping a tool batch on a service-managed
conversation left the hosted thread ending in unresolved
function_call items: _update_continuation_state persists
session.service_session_id when the model turn completes (before
tool execution), and probe-verified the next run sends only the new
user message against that conversation — OpenAI-style continuations
reject such a request, so a routine policy abort left the session
permanently stuck. Both loops now settle the thread before
propagating: one error function_result per dangling call, submitted
with tool_choice="none" in a single extra request whose response is
discarded; a settlement failure never masks the abort, and runs
without a service-managed conversation make no extra request.
Pinned by three regression tests (non-streaming, streaming, and the
no-conversation no-cost case); spec 004 and the MiddlewareFailure
docstring updated.
- Make the three tool-bracket escape tuples in the agent-hooks
function middleware identical (MiddlewareTermination,
MiddlewareFailure, CancelledError): a MiddlewareFailure raised
inside the post/error-bracket emit bodies is unreachable today, but
the uniform tuples remove the need to reason about why they would
differ, and preserve the exact exception (including the private
tool-seam tag) if the emitter ever surfaces one.
Signed-off-by: MohammadHaroonAbuomar <40180927+MohammadHaroonAbuomar@users.noreply.github.com>
* fix(core): advance settled continuation; settle approved-replay aborts
Address maintainer review on the MiddlewareFailure settlement path,
both probe-verified (branch rebased onto current main first):
- Advance the persisted continuation to the settlement response. For
response-ID continuations (OpenAI Responses store=True, where the
response id is the continuation handle) the settlement response is
the first endpoint whose chain includes the synthetic tool outputs;
leaving session.service_session_id on the pre-settlement response
made the settlement ineffective — the next run would continue from
the still-unresolved turn. The settlement response now runs through
_update_function_invocation_continuation_state (a no-op for stable
conversation-object ids). Pinned by a regression test that fails
with the advance removed.
- Cover the approval-resolution phase: a MiddlewareFailure raised
while an approved tool is replayed escapes loudly (probe-verified,
already the case) but executed before the loops' settlement seams,
leaving the original — already service-persisted — call unresolved.
_resolve_approval_responses now takes a settle_dangling_calls
callback invoked with the approved batch on abort; the settlement
helper became a layer method taking explicit calls
(approval-response wrappers unwrap to their underlying calls,
hosted-tool approvals are left to their provider protocol) and
carries its own best-effort containment. Pinned by deny-during-
replay regression tests in both response modes, mutation-verified.
Spec 004 invariants and matrix rows updated accordingly.
Signed-off-by: MohammadHaroonAbuomar <40180927+MohammadHaroonAbuomar@users.noreply.github.com>
---------
Signed-off-by: MohammadHaroonAbuomar <40180927+MohammadHaroonAbuomar@users.noreply.github.com>
* fix(workflows): preserve all trace contexts in FanInEdgeRunner aggregation
FanInEdgeRunner collected trace contexts and source span IDs using the
singular backward-compat properties (msg.trace_context / msg.source_span_id),
which return only the first element of the plural lists. When a message
arriving at a fan-in already carries multiple trace contexts (e.g. from
a prior fan-in aggregation), all but the first were silently dropped.
Iterate over the plural fields (trace_contexts / source_span_ids) and
extend the aggregated lists so every trace context and source span ID
from every source message is preserved. This keeps distributed tracing
links intact for nested fan-in topologies.
Added test_fan_in_preserves_multiple_trace_contexts_per_message that
sends a message with two trace contexts through a fan-in and asserts
all three contexts (2 + 1) reach the target executor.
* fix: address Copilot review comments on trace context aggregation
1. Pair trace_contexts and source_span_ids per-message (via zip) instead
of flattening independently. This prevents misalignment when a message
has mismatched counts — orphans are dropped per-message rather than
shifting all subsequent pairs out of alignment.
2. Remove TraceCapturingAggregator's override of Executor.execute()
(documented as "do not override"). Capture trace data from the
WorkflowContext passed to the handler instead.
---------
Co-authored-by: weed33834 <weed33834@users.noreply.github.com>
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Resolve request-info type names only from exact caller-provided mappings or already-loaded module namespaces. Remove payload-selected imports and add focused regression coverage for both request and response type fields.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a53fe20b-c3f0-4583-badc-d5deac7c1049
The ag-ui-protocol `InputContentUrlSource` carries the URL in `source.value`,
but `_extract_multimodal_source_fields` only read `source.url`/`source.uri`
for url-typed sources, so attachments sent in the spec shape were dropped
during the AG-UI to MAF conversion. The base64 branch already read
`source.value` correctly.
Read `source.value` first, keeping `url`/`uri` as fallbacks for the non-spec
shape. Adds tests for both.
Fixes#7653
* Add approval storage and improve truth checks
* Address PR comments
* Update spec
* Revert changes to agui since it is already handled in another pr
* Add missed change
* Bump Python package versions for 1.14.0 release
Bump the CHANGELOG-selected packages for the 1.14.0 release: minor versions for root/core, AG-UI, Foundry, OpenAI, and orchestrations due to additive public APIs; patch versions for declarative and GitHub Copilot fixes; and Pacific-date prerelease stamps only for changed alpha/beta packages. No beta cohort bump was applied. Core dependency floors follow the strict policy and remain unchanged because no dependent package requires a new 1.14 API. Release validation also identified and corrected missing AG-UI and Copilot Studio runtime dependencies and aligned GitHub Copilot metadata with its Python 3.11 SDK requirement. Lab is intentionally skipped because its changes are development-only, and the moved Azure Functions and Durable Task packages are documented but no longer versioned here.
* Raise AG-UI core dependency floor
* Harden functional workflow continuation authority
Use a versioned opaque single-use token on WorkflowRunResult, validate it before request correlation, consume it immediately before replayed user code, and rotate it on each pause. Carry the same explicit authority through streaming and non-streaming FunctionalWorkflowAgent responses.
Files changed: functional workflow/runtime result APIs, functional HITL regression tests, core agent guidance, and the functional HITL sample.
Next iteration: enforce pending-state overlap and token-authorized abandonment, then document and test checkpoint authorization boundaries.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Enforce one pending functional continuation
Reject fresh messages and checkpoint restores while an in-memory continuation is pending. Add token-authorized abandonment on FunctionalWorkflow and FunctionalWorkflowAgent, and clear retained replay state atomically when authority is consumed while preserving the active message for token rotation and checkpoints.
Files changed: functional workflow runtime and agent adapter, functional lifecycle regression tests, and core workflow guidance.
Next iteration: preserve and document authorized checkpoint continuation boundaries.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Preserve authorized functional checkpoint continuation
Treat checkpoint restore as a host- and storage-authorized path independent of process-local continuation tokens, and issue fresh authority whenever restored execution pauses again. Cover default and per-run storage, deterministic and custom request IDs, token rotation, and checkpoint-plus-response restore.
Files changed: functional workflow and checkpoint interface guidance, functional checkpoint lifecycle tests, the functional HITL sample, and core workflow guidance.
Next iteration: run the final repository-wide Python validation gates.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Validate Python continuation hardening
Run the complete Python workspace checks, aggregate coverage suite, repository hooks, and core package build from the final combined worktree. Keep the validation iteration code-neutral because all gates pass without corrective changes.
Files changed: none; this commit records the final validation gate.
Blockers: none. Next iteration: no remaining AFK tasks.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Handle functional checkpoint continuation failures
Publish retained continuation state only after checkpoint persistence succeeds, and cover reuse after a transient save failure.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
* Address functional continuation review findings
Add owner recovery for lost tokens, harden malformed token validation, preserve consistent failure surfaces, and keep agent pending state aligned with resumable workflow state.
Document process-local single-use continuation semantics and extend regression coverage across direct, streaming, checkpoint, and agent paths.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
* Handle functional continuation cancellation
Release the workflow run guard when cancellation interrupts resumed user code while keeping the single-use continuation token consumed.
Replace sample assertions with explicit runtime checks and add cancellation regression coverage.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
* Simplify functional workflow instance isolation
Remove continuation-token handling and align functional workflows with the graph workflow ownership model: one stateful instance per logical caller or session.
Add create_instance() for independent callers, document the ownership contract, and cover pending-state isolation between instances.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
* Scope functional workflow checkpoint storage
Do not inherit checkpoint storage when creating an independent workflow instance. Allow hosts to provide an explicitly caller-scoped storage adapter and document that shared checkpoint access requires host authorization and tenant isolation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
* Require building functional workflow instances
Make @workflow return a stateless FunctionalWorkflowDefinition and require build() before run() or as_agent(). This aligns functional workflows with the graph definition/build lifecycle and prevents module-level decorated definitions from retaining caller state.
Move checkpoint configuration to build(), export the definition type, migrate samples, and cover isolated built instances.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: a8f47743-1cdc-4924-8e1b-667d0d790b78
* Route local approvals through lifecycle owner
Key decisions:
- Add an internal typed approval lifecycle with pending, claimed, executing, and settled states.
- Keep authorization separate from execution; only LocalPendingToolTransitionOwner invokes approved local calls.
- Register server-owned occurrences before canonical ResumeDecision claims and retain one replayable result under the original call identity.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_approval_state.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_approval_result_event.py
- packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
Verification:
- 952 AG-UI tests passed.
- Focused lifecycle/public tracer passed with warnings treated as errors.
- Ruff format/check and AG-UI Pyright passed.
- git diff --check passed.
Notes for next iteration:
- The function-calling-loop scenario mapping is inaccessible under the organization content-exclusion policy and could not be updated.
- The workspace Poe package fan-out is blocked by the pre-existing missing packages/durabletask/pyproject.toml; equivalent package-local checks were run.
* Make approval batches occurrence-safe
Key decisions:
- Give each local approval a scoped logical occurrence identity and share one occurrence across trusted thread aliases.
- Validate complete Resume Decision batches before applying claims, then account for accepted, rejected, and cancelled occurrences independently.
- Preserve sibling authority and original result identity across failures, mixed decisions, and reused raw call IDs.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_approval_state.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
Verification:
- 959 AG-UI tests passed with 90% lifecycle branch coverage.
- 30 focused lifecycle/public tracer tests passed with warnings treated as errors.
- Ruff format/check and AG-UI Pyright passed.
- git diff --check passed.
Notes for next iteration:
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
- Workspace typing fan-out remains blocked by the pre-existing missing packages/durabletask/pyproject.toml; package-local Pyright passed, while package-local MyPy retains three unrelated baseline errors.
* Make approval resume retries idempotent
Key decisions:
- Retain terminal decisions and outcomes by scoped occurrence so identical accepted and rejected retries reproject results without granting execution authority again.
- Reject conflicting names, arguments, decisions, wrong-scope lookups, and expired authority before an execution intent can reach the local transition owner.
- Keep protocol normalization in the runner while using server-owned lifecycle context to canonicalize retries and preserve existing AG-UI wire aliases.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py
Verification:
- 965 AG-UI tests passed with 90% approval lifecycle coverage.
- 18 focused lifecycle, hostile-resume, wrong-thread, and endpoint retry tests passed with runtime and deprecation warnings treated as errors.
- Ruff format/check and AG-UI package-local Pyright passed.
- git diff --check passed.
Notes for next iteration:
- Terminal retention is process-local and unbounded until the later bounded-retention issue adds its explicit policy.
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
* Separate approval execution ownership
Key decisions:
- Carry explicit local, hosted, deferred in-run, or unavailable ownership on every approval occurrence and authorized intent.
- Keep lifecycle authorization separate from execution; local calls execute only through the local adapter while hosted and setup-injected decisions forward through owner-specific adapters.
- Leave declaration-only calls pending when no transition owner can act, and settle forwarded outcomes against the original occurrence without local fallback.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_approval_state.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py
Verification:
- 967 AG-UI tests passed with 92% package coverage and 89% approval lifecycle coverage.
- 94 focused lifecycle, hosted, deferred-owner, hostile-resume, and approval tests passed.
- Ruff format/check and package-local Pyright passed.
- git diff --check passed.
Notes for next iteration:
- Executing-without-outcome recovery remains for the indeterminate execution-window issue.
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
- Workspace Poe fan-out remains blocked by the pre-existing missing packages/durabletask/pyproject.toml; equivalent package-local checks passed.
* Represent approval execution uncertainty
Key decisions:
- Distinguish reserved claims from execution windows that may have started an external side effect.
- Recover non-idempotent execution failures as indeterminate and reject identical retries without another invocation.
- Permit claim release only under an explicit safe policy and execution retry only with a predeclared idempotency key shared by local and forwarded owners.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py
Verification:
- 972 AG-UI tests passed with 92% line coverage and 89% package branch coverage.
- 23 focused lifecycle, duplicate-resume, hosted-owner, and public settlement-window tests passed.
- Package-local Ruff and Pyright passed; git diff --check passed.
Notes for next iteration:
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
- Workspace Poe fan-out remains blocked by the pre-existing missing packages/durabletask/pyproject.toml; equivalent package-local checks passed.
* Reconcile approval snapshots with lifecycle state
Key decisions:
- Keep Approval State authoritative and emit typed snapshot reconciliation keyed by logical occurrence identity.
- Retire settled, rejected, cancelled, expired, indeterminate, and missing controls while preserving nonterminal authority.
- Reconcile stale snapshots before hydration or resume, and retain lifecycle deduplication when snapshot saves fail.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/agent_framework_ag_ui/_snapshot_session.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py
Verification:
- 975 AG-UI tests passed with 92% package coverage and 89% approval lifecycle coverage.
- Package-local Ruff and Pyright passed; git diff --check passed.
Notes for next iteration:
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
- Workspace Poe fan-out remains blocked by the pre-existing missing packages/durabletask/pyproject.toml; equivalent package-local checks passed.
* Bound process-local approval lifecycle state
Key decisions:
- Protect pending, claimed, executing, and indeterminate occurrences from eviction while retaining terminal outcomes for a configurable 15-minute process-local deduplication window.
- Serialize complete approval batches by logical occurrence locks so aliases share atomic decisions and independent batches can progress concurrently.
- Fail capacity, claim, and settlement conflicts explicitly, and emit redacted structured lifecycle telemetry without tool names, arguments, or approval payloads.
- Remove legacy LRU eviction paths so active Approval State and middleware state are never silently discarded.
Files changed:
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_approval_state.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_approval_state.py
Verification:
- 982 AG-UI tests passed with 92% package coverage and 91% approval lifecycle coverage.
- 34 focused lifecycle and storage tests passed with RuntimeWarning and DeprecationWarning treated as errors.
- Package-local Ruff and Pyright passed; git diff --check passed.
Notes for next iteration:
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
- Workspace Poe fan-out remains blocked by the pre-existing missing packages/durabletask/pyproject.toml; equivalent package-local checks passed.
* Complete approval lifecycle cutover
Key decisions:
- Make ApprovalLifecycle the sole owner of trusted aliases, occurrence metadata, authority transitions, and retained outcomes.
- Remove the parallel mutable pending-approval registry and route local, hosted, deferred, cancellation, replay, and snapshot reconciliation through lifecycle occurrences.
- Encapsulate middleware Approval State behind copy-isolated store methods while keeping AG-UI protocol normalization and event projection in the runner.
Files changed:
- packages/ag-ui/AGENTS.md
- packages/ag-ui/agent_framework_ag_ui/_agent.py
- packages/ag-ui/agent_framework_ag_ui/_agent_run.py
- packages/ag-ui/agent_framework_ag_ui/_approval_lifecycle.py
- packages/ag-ui/agent_framework_ag_ui/_approval_state.py
- packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
- packages/ag-ui/tests/ag_ui/test_approval_lifecycle.py
- packages/ag-ui/tests/ag_ui/test_approval_result_event.py
- packages/ag-ui/tests/ag_ui/test_approval_state.py
- packages/ag-ui/tests/ag_ui/test_endpoint.py
- packages/ag-ui/tests/ag_ui/test_run.py
Verification:
- 964 package-local AG-UI tests passed with 92% coverage and 90% approval lifecycle coverage.
- 85 warning-strict focused approval tests passed.
- Package-local Ruff and Pyright passed; git diff --check passed.
Notes for next iteration:
- The function-calling-loop scenario mapping remains inaccessible under the organization content-exclusion policy.
- Workspace Poe fan-out remains blocked by the pre-existing missing packages/durabletask/pyproject.toml; equivalent package-local checks passed.
* Align AG-UI approval resumes with protocol
* Align workflow approvals with AG-UI resumes
* Address AG-UI approval review findings
* fix AG-UI test typing checks
* fix AG-UI approval retention and cancellation retries
* Update agentserver to 2.1.0
* Update agentserver responses and invocations to x.1.0b1
* Pass platform context to state store provider
* Pass user id
* Correct requirements.txt
* Fix unit tests
* Fix unit tests
* Python: Fix Cosmos memory provider calling renamed add_cosmos toolkit API
The Agent Memory Toolkit renamed AsyncCosmosMemoryClient.add_cosmos to
upsert_memory with an identical signature. The provider declares
azure-cosmos-agent-memory>=0.2.0b3 with no upper bound, so a resolved
install can expose either name. after_run swallows write errors and only
logs a warning, so on a post-rename toolkit the agent turn still looks
successful while long-term memory silently stops receiving turns.
Resolve the write method once per after_run, preferring upsert_memory and
falling back to add_cosmos, so both ends of the declared range keep working.
Same treatment for the emulator test's direct seed call.
Fixes#7633
* Ponytail comment erased
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* Clarify TODO comment regarding memory method rename
Updated TODO comment to include author and clarify context , to resolve linting error
---------
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* Python: scope under-specified approve-for-session permission decisions
PermissionDecisionApproveForSession carries an optional `approval` (tool
prompts) and an optional `domain` (URL prompts), so it can be constructed
with neither. A bare PermissionDecisionApproveForSession() serializes to
{"kind": "approve-for-session"}, which the Copilot CLI cannot interpret: it
dereferences the absent approval and crashes the CLI process with "Cannot
read properties of undefined (reading 'commandIdentifiers')", taking the
whole run down rather than failing a single tool call.
Wrap the resolved permission handler so such decisions are scoped using the
request that triggered them: shell prompts become an approval for that
prompt's command identifiers, MCP prompts an approval for that server and
tool, URL prompts an approval for that URL's domain, and so on.
The decision is only ever narrowed, never widened. When the prompt reports
can_offer_session_approval=False, or the request kind has no session-scoped
approval (such as a hook prompt), the decision is downgraded to a single-use
approval and a warning is logged. Decisions that already specify a scope are
forwarded unchanged, and handler exceptions still propagate so the SDK's
deny-on-error behavior is preserved.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 1b45752e-b602-4117-8304-3c8a8b877e3e
* Fix test-suite type-checker errors for permission-decision normalizer
The permission-handler wrapper returned PermissionHandlerType (the sync-or-async
union), so awaiting its result in tests was rejected by the stricter CI type
checkers (pyrefly, ty, zuban). Give the wrapper a dedicated
AsyncPermissionHandlerType return type, and narrow the awaited result with an
isinstance assert before accessing its scope in the async-handler test.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 1b45752e-b602-4117-8304-3c8a8b877e3e
* Add regression tests for extension permission approval normalization
Cover the two previously-untested branches of _derive_session_approval:
extension-management preserves the request operation, and
extension-permission-access preserves the extension name. Both assert the
serialized approval payload as well.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 1b45752e-b602-4117-8304-3c8a8b877e3e
* Scope URL session approvals only for parser-unambiguous URLs
The URL branch derived the persisted domain with Python's urlparse, but the
Copilot CLI parses URLs with WHATWG semantics. The two disagree on crafted
authorities -- e.g. a backslash before the '@' in
'https://example.com<backslash>@evil.com' resolves to example.com under the CLI
but evil.com under urlparse -- so trusting urlparse could persist a session-wide
approval for an unrelated, attacker-chosen domain, widening authorization.
Add _derive_url_session_domain, which returns a domain only when the URL
contains none of the characters WHATWG and urlparse handle differently
(backslash, tab, newline, carriage return); any ambiguity (or a URL with no
host) narrows the decision to a single-use PermissionDecisionApproveOnce.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 1b45752e-b602-4117-8304-3c8a8b877e3e
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 1b45752e-b602-4117-8304-3c8a8b877e3e
* Python: fix(redis): honour a max_messages retention limit of zero
RedisHistoryProvider documents None as the sentinel for unlimited storage,
so max_messages=0 must retain nothing. It retained everything: trimming to
-max_messages emits LTRIM key 0 -1, which is Redis's "keep the whole list",
and the count > max_messages guard is true for any non-empty list, so the
trim ran on every save and did nothing.
Negative values were worse than a no-op. max_messages=-5 emitted
LTRIM key 5 -1, deleting the five oldest messages on every save while the
list still grew without bound.
Handle a limit of zero by deleting the key, which is what clear() in this
class already does, and reject negative values in __init__ alongside the
three ValueErrors it already raises for invalid configuration. None and
positive limits are unchanged.
* Python: never write the payload when Redis retention is disabled
Addresses the automated review on #7470. With max_messages=0 the previous
change still RPUSHed every message and deleted the key afterwards, so the
payload reached Redis - and any AOF or replica stream - before being removed,
and was briefly visible to other readers. Short-circuit instead: drop any
existing history and return before serializing, so nothing is written at all.
Also documents the new ValueError in the Raises: section, and asserts in the
test that the pipeline is never used.
* Python: leave stored history alone when Redis retention is disabled
max_messages=0 deleted the session key. _redis_key omits source_id, so
two providers with the default prefix share {key_prefix}:{session_id},
and the after-run pass persists in reverse provider order - a
zero-retention provider listed first would drop a co-located provider's
just-written history on every turn.
Return before serializing instead: no payload reaches Redis, an AOF or a
replica, and stored history is left as it is. Removing stored history is
what clear() is for.
---------
Co-authored-by: Chinmay V <203952148+chinmayv095@users.noreply.github.com>
* Python: add checkpointing support to AgentFrameworkWorkflow.run() in ag-ui
The ag-ui AgentFrameworkWorkflow.run() previously accepted only a
RunAgentInput payload and exposed no way to use the core workflow's
checkpointing/state-persistence, unlike the core agent-framework workflow
implementations. This left ag-ui workflows without resumable execution.
Add optional checkpoint_storage and checkpoint_id keyword arguments to
run(), threaded through run_workflow_stream() into the core Workflow.run().
This delegates to the existing core capability instead of reinventing it and
keeps the public surface consistent with Workflow.run():
- checkpoint_storage enables checkpoint creation at each superstep boundary.
- checkpoint_id resumes a run from a persisted checkpoint; incoming messages
are forwarded only as request-info responses (never as a new start-executor
message) to honor the core's message/checkpoint_id mutual exclusivity, and
responses + checkpoint_id performs a restore-then-send in one call.
Both can also be supplied via the input_data keys __ag_ui_checkpoint_storage
and __ag_ui_checkpoint_id so the FastAPI endpoint (which calls run(input_data)
positionally) can opt in without changing its call site; explicit keyword
arguments take precedence. Checkpoint resume bypasses the AG-UI thread snapshot
hydration early-returns so it always reaches the core restore path.
Backward compatible: run(input_data) keeps working unchanged, and the
non-checkpoint path still calls run_workflow_stream(input_data, workflow) with
its original two-argument convention. Adds focused tests covering checkpoint
creation, resume-from-checkpoint, input-data-keyed params, and the unchanged
default path.
Fixes#6632.
* Import Executor from the public agent_framework API in ag-ui workflow test
* Fix ag-ui checkpoint resume: preserve thread snapshot, coerce resume responses; fix CI lint/typing
A checkpoint-only resume no longer clobbers the stored AG-UI thread snapshot:
the snapshot builder is seeded with the prior stored history so the saved
snapshot keeps the earlier replayable transcript plus the newly produced output.
Resume responses are now coerced against the post-restore pending requests on a
checkpoint restore, so a JSON function_approval_response resumes through AG-UI
after a cold restore instead of failing with a response-type mismatch.
Also update the test-double workflow run() overrides to match the new keyword-only
parent signature and re-sort the workflow test imports so ruff and the typing
checkers pass.
* Coerce ag-ui resume responses without a second checkpoint restore
Reading pending request_info events for resume-response coercion previously
restored the checkpoint into the live workflow, which invoked every executor's
on_checkpoint_restore hook. workflow.run(checkpoint_id=...) then restored again,
running those hooks a second time. Custom restore hooks are not required to be
idempotent, so this could duplicate restoration work or break workflows that
expect exactly one restore per resume.
Load the persisted WorkflowCheckpoint directly from storage (runtime override
or the workflow's build-time context storage) and read its
pending_request_info_events instead. This exposes the same post-restore pending
set for the resume contract and response coercion without mutating workflow
state or running any restore hook, leaving workflow.run(checkpoint_id=...) as
the single restore per resume.
Add a regression test asserting on_checkpoint_restore runs exactly once on a
checkpointed ag-ui resume.
* Python: rework AG-UI workflow checkpointing onto public configuration surfaces
Checkpoint storage is now configured on AgentFrameworkWorkflow (or the
FastAPI endpoint) instead of being smuggled through input_data keys, and
a run resumes by supplying its checkpoint id in the AG-UI forwarded
props. With storage always in hand, resume-response coercion reads the
pending request set straight from the persisted checkpoint via the
public CheckpointStorage.load(), replacing the private runner-context
fallback, and the core run call forwards checkpoint arguments directly,
relying on core validation for conflicting parameters. Requesting a
resume without configured storage now fails with a clear error.
* Assign endpoint checkpoint storage in a single place
The raw-workflow branch assigned checkpoint_storage at construction and
the wiring block assigned it again. Construct the wrapper bare and let
the wiring block own the assignment; the existing-storage guard keeps
allowing a pre-wrapped runner without storage to adopt the endpoint's.
---------
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
* Python: Fix ClaudeAgent reusing one SDK client across distinct fresh sessions
RawClaudeAgent kept a single mutable ClaudeSDKClient on the agent instance
and reused it across distinct fresh AgentSession objects, because a fresh
session passes session_id=None and the old reuse check treated that as
"keep the current client". Two independent fresh sessions on one shared
agent instance therefore shared a single provider conversation, so the
second session continued the first session's conversation.
Treat a fresh (None) continuation id as always requiring a new client, so
an unbound session never inherits an existing provider conversation.
Legitimate continuity is preserved: once a session runs, its
service_session_id is written back, so later runs pass a real id and resume
correctly. Guard client selection/creation with an asyncio.Lock so
concurrent runs cannot race between the check and the client assignment.
Add regression tests asserting two fresh sessions produce two clients and
that an explicit continuation id still resumes the existing client.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 598a9fe1-28c5-4db1-88fd-e14acd9340af
* Python: Bind Claude SDK client ownership to each run
Replace the single mutable ClaudeSDKClient stored on the agent with a
per-run client. Because a ClaudeSDKClient represents exactly one provider
conversation, sharing one across distinct sessions collapsed them onto the
same conversation and, for concurrent runs, let a fresh session disconnect
a client another run was still streaming from.
_acquire_client now returns a per-run client (owned) that resumes the
framework session's provider conversation when one exists, and _get_stream
releases it in a finally once the run completes. An injected client is
reused verbatim and left to the caller. The streaming loop moves into
_stream_run so the client is a local per-run value rather than shared agent
state, which keeps distinct sessions isolated even under concurrency.
Continuity is preserved: a session's service_session_id is written back
after each run and forwarded as the resume id on subsequent runs. Replace
the client-lifecycle tests with per-run ownership and end-to-end isolation
tests (two fresh sessions get two separate clients, each disconnected).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 598a9fe1-28c5-4db1-88fd-e14acd9340af
* Python: Close remaining Claude session-isolation gaps
Address three shared-state gaps in the Claude adapter surfaced in review:
- Run-scope structured output: carry the run's structured_output through a
per-run state holder and a per-run finalizer instead of storing it on the
agent, so a concurrent run cannot overwrite another run's value before its
finalizer reads it.
- Bind an injected client to one session: an injected ClaudeSDKClient is a
single Claude conversation, so bind it to the first session that uses it and
raise AgentInvalidRequestException if a different session tries to reuse it.
A no-session run reuses the bound session so multi-turn continuity still
works; multi-session callers must omit client= or use one agent per session.
- Serialize the injected-client path with an asyncio.Lock so concurrent runs
cannot race its connect or interleave queries on the one shared client.
Owned per-run clients stay lock-free.
Update and extend the tests accordingly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 598a9fe1-28c5-4db1-88fd-e14acd9340af
* Python: Bind injected Claude client on provider conversation identity
Compare an injected client's binding on the session's service_session_id
(the Claude conversation identity) rather than the framework-local
session_id, falling back to session_id only when the incoming session has
no provider id yet. A reconstructed session from
get_session(service_session_id=...) carries a fresh session_id but the same
provider conversation, so it now continues the bound conversation instead of
raising. Sessions targeting a different conversation are still rejected.
Add regression tests for reconstructed-same-conversation continuation and
different-conversation rejection.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 598a9fe1-28c5-4db1-88fd-e14acd9340af
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 598a9fe1-28c5-4db1-88fd-e14acd9340af
Gemini 3.x rejects a request whose functionCall parts lack a
thought_signature. The signature was carried as base64 protected_data on a
text_reasoning content and re-attached by adjacency, which requires the
carrier to immediately precede its call. An approval round trip replays the
call with no carrier at all, so the next turn failed with a 400.
Track signatures in a bounded per-client call_id map populated at parse time
from the resolved call_id, and backfill only when the emitted part has no
signature. Also stop clearing the held signature on contents that emit no
Part, so an approval response or an unsigned thought summary between the
carrier and its call no longer drops it.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: dd0909cd-c7c3-42cb-aef1-1e9a3e64d917
Ruiming Zhao