samples/python-agui-single-agent
66 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Tao Chen
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0df184e7dd |
Python: Fix sub-workflow checkpoint restore to preserve sub-workflow state (#7097)
* Fix sub-workflow checkpoint restore to preserve sub-workflow state Add Runner.capture_checkpoint_object/restore_from_checkpoint_object (quiescent-only nested checkpoint) and embed a sub_workflow_checkpoint in WorkflowExecutor.on_checkpoint_save/on_checkpoint_restore so a resumed parent restores each sub-workflow's mid-progress state instead of only replaying pending request-info events. Keeps a backward-compat fallback when sub_workflow_checkpoint is absent. * Move checkpoint-object construction into the runner context Add RunnerContext.create_checkpoint_object alongside create_checkpoint (create_checkpoint now delegates to it and persists), so Runner.capture_checkpoint_object builds the snapshot via the context instead of a one-off get_messages peek primitive. In-flight messages are captured non-destructively (per-source lists copied). The checkpoint-less capturing contexts (azurefunctions, durabletask) raise NotImplementedError to match create_checkpoint. * Remove per-execution bookkeeping from WorkflowExecutor The sub-workflow is a single shared instance, so per-execution ExecutionContext/request routing never provided real isolation. Delegate request/response tracking to the sub-workflow itself: can_handle accepts targeted propagated responses, _handle_response validates against the sub-workflow's pending requests and forwards responses immediately, and on_checkpoint_save embeds only the sub-workflow checkpoint (on_checkpoint_restore keeps a legacy reader for older checkpoints). Also emit the fresh-message/checkpoint-while-pending warning from FunctionalWorkflow.run to match Workflow.run. * Drop redundant decode in WorkflowExecutor.on_checkpoint_restore The storage backend already materializes the full checkpoint on load (FileCheckpointStorage decodes recursively; InMemoryCheckpointStorage deep-copies), so the embedded sub_workflow_checkpoint (and legacy execution_contexts) arrive already decoded - like every other executor's on_checkpoint_restore state. Remove the no-op decode_checkpoint_value calls and the now-unused import. * Clean up * Do not allow checkpoint storage in sub workflow * Address comments * Fix syntax check * Add warning --------- Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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Eduard van Valkenburg
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5147579992 |
Python: Enforce package coverage by lifecycle (#7261)
* Enforce Python coverage by package lifecycle Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 9ae5ad8e-6b66-41b3-a862-4e2a3fae1cd0 * Fix Python CI and deprecation usage Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 9ae5ad8e-6b66-41b3-a862-4e2a3fae1cd0 * Make POSIX kill-tree test portable Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 9ae5ad8e-6b66-41b3-a862-4e2a3fae1cd0 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 9ae5ad8e-6b66-41b3-a862-4e2a3fae1cd0 |
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Eduard van Valkenburg
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d08200d00e |
Python: Bump package versions for 1.12.0 release (#7238)
* Bump Python package versions for 1.12.0 release Bump packages represented in the 1.12.0 changelog, promote Foundry Hosting, Azure Content Understanding, Gemini, Mistral, Monty, and Tools to beta, and apply the requested beta cohort date stamp. Root and core move to 1.12.0, released and RC packages use their selected increments, alpha packages including Hosting MCP use the 260721 stamp, and core floors are raised only for proven consumers. Copilot-Session: 2dd9980a-b869-4c16-8642-75b7a6d6ebdf * fix version in readme * Add Responses conversation ID changes to release notes Include the breaking Hosting Responses conversation ID helper changes from #7234 in the Python 1.12.0 changelog. Copilot-Session: 2dd9980a-b869-4c16-8642-75b7a6d6ebdf |
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Evan Mattson
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c218067646 |
Python: Consolidate dependency updates (#7204)
* Bump uv from 0.11.28 to 0.11.29 in /python Bumps [uv](https://github.com/astral-sh/uv) from 0.11.28 to 0.11.29. - [Release notes](https://github.com/astral-sh/uv/releases) - [Changelog](https://github.com/astral-sh/uv/blob/main/CHANGELOG.md) - [Commits](https://github.com/astral-sh/uv/compare/0.11.28...0.11.29) --- updated-dependencies: - dependency-name: uv dependency-version: 0.11.29 dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * Bump zuban from 0.8.2 to 0.9.0 in /python Bumps [zuban](https://github.com/zubanls/zubanls-python) from 0.8.2 to 0.9.0. - [Release notes](https://github.com/zubanls/zubanls-python/releases) - [Commits](https://github.com/zubanls/zubanls-python/compare/v0.8.2...v0.9.0) --- updated-dependencies: - dependency-name: zuban dependency-version: 0.9.0 dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> * PR #7146: Bump ty from 0.0.55 to 0.0.60 in /python * Bump ruff from 0.15.20 to 0.15.22 in /python Bumps [ruff](https://github.com/astral-sh/ruff) from 0.15.20 to 0.15.22. - [Release notes](https://github.com/astral-sh/ruff/releases) - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) - [Commits](https://github.com/astral-sh/ruff/compare/0.15.20...0.15.22) --- updated-dependencies: - dependency-name: ruff dependency-version: 0.15.21 dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * Bump mypy from 2.2.0 to 2.3.0 in /python Bumps [mypy](https://github.com/python/mypy) from 2.2.0 to 2.3.0. - [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) - [Commits](https://github.com/python/mypy/compare/v2.2.0...v2.3.0) --- updated-dependencies: - dependency-name: mypy dependency-version: 2.3.0 dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> * Bump prek from 0.4.8 to 0.4.10 in /python Bumps [prek](https://github.com/j178/prek) from 0.4.8 to 0.4.10. - [Release notes](https://github.com/j178/prek/releases) - [Changelog](https://github.com/j178/prek/blob/master/CHANGELOG.md) - [Commits](https://github.com/j178/prek/compare/v0.4.8...v0.4.10) --- updated-dependencies: - dependency-name: prek dependency-version: 0.4.10 dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * Bump azure-ai-projects from 2.2.0 to 2.3.0 in /python Bumps azure-ai-projects from 2.2.0 to 2.3.0. --- updated-dependencies: - dependency-name: azure-ai-projects dependency-version: 2.3.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> * Bump types-python-dateutil in /python Bumps [types-python-dateutil](https://github.com/python/typeshed) from 2.9.0.20260518 to 2.9.0.20260716. - [Commits](https://github.com/python/typeshed/commits) --- updated-dependencies: - dependency-name: types-python-dateutil dependency-version: 2.9.0.20260716 dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * Bump mypy from 2.2.0 to 2.3.0 in /python Bumps [mypy](https://github.com/python/mypy) from 2.2.0 to 2.3.0. - [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) - [Commits](https://github.com/python/mypy/compare/v2.2.0...v2.3.0) --- updated-dependencies: - dependency-name: mypy dependency-version: 2.3.0 dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> * Bump botocore from 1.43.45 to 1.43.49 in /python Bumps [botocore](https://github.com/boto/botocore) from 1.43.45 to 1.43.49. - [Commits](https://github.com/boto/botocore/compare/1.43.45...1.43.49) --- updated-dependencies: - dependency-name: botocore dependency-version: 1.43.49 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> * PRs #7144/#7147: Align lab uv and ruff pins * Regenerate lockfile for Python Dependabot PRs #7144-#7153 * Python: Support azure-ai-projects 2.3 session operations (#7150) * Python: Apply Ruff 0.15.22 suppression updates (#7147) * Python: Update tests for ty 0.0.60 (#7146) * Python: Update Foundry samples for azure-ai-projects 2.3 (#7150) * Python: Address dependency rollup review comments --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
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Evan Mattson
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c66bb39ea2 | Normalize durable workflow inputs (#7205) | ||
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Ahmed Muhsin
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5ab8877ba5 |
Python: HITL respond-URL addressing from inside workflows (#7001)
* feat(durabletask): surface HITL respond-URL addressing to workflow executors
Let a workflow notify a human reviewer (e.g. email an approval link) from inside the
graph, without the caller threading the instanceId/requestId by hand.
- durabletask: the orchestrator injects host_context {instance_id, workflow_name,
request_path_prefix} into each activity input; CapturingRunnerContext surfaces it as
host_metadata. No new core API.
- azurefunctions: WorkflowHitlContext.from_context(ctx) builds the canonical
respond/status URLs (returns None in-process so callers degrade gracefully).
Re-exported through the agent_framework.azure lazy namespace.
- Nested sub-workflows: the address context (root instance + workflow name +
accumulated {executor}~{ordinal}~ prefix) propagates down call_sub_orchestrator via a
new SUBWORKFLOW_ADDRESS_KEY marker, so an executor at any depth builds a URL that
targets the addressable top-level instance with a qualified request id. The per-child
ordinal matches the read-side enumerate() index used by the status/respond endpoints.
The marker is stripped from untrusted input alongside SUBWORKFLOW_INPUT_KEY
(confused-deputy / info-leak guard).
- Samples 12 and 13 reworked into the retry-safe two-step notify pattern: the emitter
generates an explicit request id and a downstream NotifyExecutor builds the URL and
notifies, so failed upstream retries never produce a dead link.
Tests: unit coverage for the metadata round-trip, address/ordinal agreement (fan-out at
depth and nested prefix accumulation), marker stripping, and URL building; integration
tests assert the helper-built URL equals the server respondUrl and resumes the run, for
both the flat (12) and nested (13) samples.
* refactor(durabletask): read back request_info id instead of generating one in samples
Add WorkflowHitlContext.pending_request_id(ctx), an async helper that returns the
id request_info just generated (read from the runner context's pending request-info
events). This works on any host via the core RunnerContext protocol method, so it
needs no core change.
Samples 12 and 13 now call request_info() and read the id back to forward to the
NotifyExecutor, instead of minting a uuid by hand and passing request_id=. The
read-back happens in the same activity execution that generated the id, so the
pending request event and the notify message still commit together with the same id
(retry-safe; failed upstream retries notify no one).
* docs(azurefunctions): document request_info id read-back and notify safety
Tighten pending_request_id docstring to require calling it immediately after request_info, and explain why that is safe on the durable host (each executor runs in its own activity with its own runner context, so the pending set only holds this executor's requests and the newest is the one just emitted). Document the two-step notify pattern in the 12 and 13 sample READMEs, including the downstream-notifier retry safety and the nested address-prefix propagation.
* fix(python): resolve ty typing error and address PR review comments
- test_subworkflow_orchestration: replace the mypy-only type:ignore[arg-type] with a cast so the ty checker passes too (the other four checkers already honored the ignore).
- samples 12/13 README: guard the notify snippet against None before build_respond_url to match the documented graceful-degradation behavior.
- integration tests 12/13: reword comments that implied request_info now generates an explicit uuid4; it generates the id internally by default.
* fix(python): honor configurable Functions route prefix and address HITL PR review
- Resolve the route prefix from host.json (extensions.http.routePrefix, default api) in a new azurefunctions _routes module, used by both the server endpoints and WorkflowHitlContext, so a custom or empty routePrefix no longer 404s respond/status URLs (was hardcoded /api/ in four places).
- Extract respond/status URL construction into one shared builder called from _app.py and _hitl_context.py, removing the sync-by-test duplication.
- Broaden loopback detection (localhost, 127.0.0.0/8, 0.0.0.0, ::1, [::1]) via a _is_loopback helper so local links use http.
- Pin the host_context key names as shared constants in durabletask so producer and azurefunctions consumer cannot drift.
- Reword a stale base_url comment to reference WEBSITE_HOSTNAME.
- Add unit tests for the route module and loopback handling.
* refactor(azurefunctions): derive server-side HITL URLs from the request URL
The run and status endpoints now derive the base URL and route prefix from the incoming request URL (the value the host actually routed) via split_request_url, so the caller-visible respond/status URLs no longer depend on reading host.json on the server. The in-workflow helper keeps reading host.json since it has no request context. Replaces strip_route_prefix and updates its tests.
* test(durabletask): enforce sub-workflow ordinal and read-index agreement
Extract the read-side subworkflows grouping into a shared _index_subworkflows helper (used by the orchestrator) and add test_readside_index_matches_dispatch_ordinal, which round-trips a fan-out through that helper and asserts subworkflows[executor][ordinal] resolves to the child the dispatch stamped that ordinal onto. Turns the previously comment-only write-ordinal / read-index invariant into a shared, CI-enforced one.
* fix(azurefunctions): suppress bandit B104 on loopback host set
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Evan Mattson
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18b03ea487 |
Python: adjust checkpoint encoding handling (#6579)
* Adjust checkpoint encoding handling Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refine checkpoint encoding handling Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Adjust checkpoint dict encoding Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify checkpoint unpickler blocked globals * Preserve typed HITL requests in durable activities * test: skip flaky durabletask multi-turn integration test --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Evan Mattson
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7464a59228 |
Python: Bump Python package versions for 1.11.0 release (#7035)
* Bump Python package versions for 1.11.0 release Bump the CHANGELOG-selected packages for the 1.11.0 release: core and the root package move to 1.11.0 for the new stable APIs, Foundry and OpenAI receive patch bumps, changed prerelease packages receive the 260709 stamp or next RC counter, and Monty joins the bump set for corrected published dependency metadata. No beta cohort bump was applied. Raise core floors conservatively on every package publishing this cycle and correct dependency floors exposed by lower-bound validation. Copilot-Session: ee33d338-c1fc-4182-9106-0345ccf26b8e * Fix Gemini streaming type suppression Move the targeted Pyright suppression to the SDK contents argument, where the google-genai invariant content-list alias produces the compatibility diagnostic, and remove the now-unnecessary member suppression. Copilot-Session: ee33d338-c1fc-4182-9106-0345ccf26b8e * Raise Monty core dependency floor Align Monty with the conservative release policy by requiring agent-framework-core 1.11.0 or later for the package version published in this cycle. Copilot-Session: ee33d338-c1fc-4182-9106-0345ccf26b8e |
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Evan Mattson
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12b029858e |
Build(deps): consolidate Dependabot dependency updates (#6984)
* Consolidate Dependabot dependency updates * Restore method assignment suppression |
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Ahmed Muhsin
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81e425b44f |
Python: [BREAKING] Durable Task multi-workflow hosting and sub-workflows (#6696)
* feat(durabletask): add workflow naming helpers (multi-workflow phase 0)
Foundation for hosting multiple workflows (and later sub-workflows) on one
durable task host. Adds a host-agnostic naming module that derives the stable
durable names a hosted workflow registers under.
- New `_workflows/naming.py`:
- `workflow_orchestrator_name(name)` -> `dafx-{name}` (orchestration name,
aligned byte-for-byte with .NET `WorkflowNamingHelper`).
- `workflow_name_from_orchestrator(name)` -> reverse, `None` when not prefixed.
- `validate_workflow_name(name)` -> rejects empty / malformed / auto-generated
`WorkflowBuilder-<uuid>` names (validate-and-reject rather than silently
sanitize, since the name becomes a durable identity and an HTTP route segment).
- `is_auto_generated_workflow_name(name)`, `DURABLE_NAME_PREFIX`.
- Export the helpers from the package public API.
- Mark `WORKFLOW_ORCHESTRATOR_NAME` deprecated in favor of per-workflow names
(kept functional; the single-workflow path still uses it until phase 1).
- 39 unit tests covering round-trips and validation.
Design: docs/design/durabletask-multiworkflow-and-subworkflows.md
* feat(durabletask): host multiple workflows per worker with scoped names (phase 1)
Enables hosting more than one MAF workflow on a single standalone Durable Task
worker, and aligns both hosts on workflow-scoped durable names so two co-hosted
workflows that reuse an executor id cannot collide.
Naming (shared, host-agnostic):
- orchestration: dafx-{workflowName} (matches .NET; the name DT tooling surfaces)
- non-agent activity / agent entity: dafx-{workflowName}-{executorId} (scoped)
- New naming helpers workflow_scoped_executor_id / workflow_executor_activity_name.
Standalone worker (agent-framework-durabletask):
- configure_workflow is now additive: stores workflows keyed by Workflow.name,
rejects duplicate / auto-generated (WorkflowBuilder-<uuid>) / invalid names,
registers one orchestrator per workflow plus its scoped activities/entities.
- The shared orchestrator dispatches scoped names derived from workflow.name.
- New registered_workflow_names property.
Client (DurableWorkflowClient):
- Optional default workflow_name on the client; start/run/stream accept a per-call
workflow_name and target dafx-{name}.
- Opt-in ownership validation on status/HITL methods: when a workflow name is
resolvable, an instance whose orchestration name does not match is treated as
not-found (status -> None, pending -> [], send_hitl_response / await -> raise),
mirroring the Azure Functions route-scoping check.
Azure Functions host (agent-framework-azurefunctions):
- Registration now uses the same scoped names so the shared orchestrator's
dispatch matches (single workflow per app for now; flat workflow/* routes kept).
- Workflow name is validated up front; workflow agents register under the scoped
entity id; _is_workflow_orchestration scopes to dafx-{workflow.name}.
Samples + tests:
- Durable Task and Azure Functions workflow samples now name their workflow.
- Unit tests cover multi-workflow registration, name validation, client targeting,
and ownership; integration tests target the named workflows.
WORKFLOW_ORCHESTRATOR_NAME remains exported (deprecated). This is a hard switch:
in-flight single-workflow instances created before upgrade (under the old
workflow_orchestrator name) will not resume.
Design: docs/design/durabletask-multiworkflow-and-subworkflows.md
* feat(azurefunctions): host multiple workflows per app with per-workflow routes (phase 2)
Completes multi-workflow hosting on the Azure Functions host, building on the
shared scoped-naming foundation from the worker phase.
AgentFunctionApp:
- New `workflows=` parameter accepting a list (keyed by each `Workflow.name`) or a
name->Workflow mapping; the existing `workflow=` is a single-workflow alias.
Both may be combined. Duplicate names and mapping-key/name mismatches are rejected.
- Each workflow registers its own `dafx-{name}` orchestration, workflow-scoped
activities/entities, and per-workflow HTTP routes:
`workflow/{name}/run`, `workflow/{name}/status/{instanceId}`,
`workflow/{name}/respond/{instanceId}/{requestId}`. Routes are always
per-workflow (even for a single workflow) so callers don't change URLs as an app
grows from one workflow to many.
- Route ownership check is per-workflow (`_is_owned_orchestration(status, name)`):
a leaked instance id for another orchestration -- or another workflow -- is
treated as not-found, extending the route-scoping defense.
- `get_agent(context, name, workflow_name=...)` resolves a workflow agent under its
scoped id; bare `agents=` registration keeps the standalone surface. New
`workflows` introspection property; `.workflow` now returns the sole workflow
(or None when several are hosted).
- Removed the now-unused flat-URL helper `_build_status_url` (handlers inline
per-workflow URLs).
Samples + tests:
- Azure Functions workflow samples (09-12) name their workflow; integration tests
target the per-workflow routes.
- Unit tests cover multi-workflow registration, duplicate/mapping/auto-name
rejection, and per-workflow ownership.
Note: sample README / demo.http route docs are updated in the docs phase.
Design: docs/design/durabletask-multiworkflow-and-subworkflows.md
* feat(durabletask): sub-workflows via durable child orchestrations (phase 3)
Run WorkflowExecutor nodes as durable child orchestrations on both hosts.
- Protocol: add call_sub_orchestrator to WorkflowOrchestrationContext, implemented by the durabletask and Azure Functions adapters.
- Registration: planner classifies WorkflowExecutor as subworkflow_executors; collect_hosted_workflows walks nested workflows (parent first, deduped by name). Both hosts recursively register every nested workflow's orchestration/agents/activities once; only top-level workflows get HTTP routes. Names validated up front before any registration side effects.
- Orchestrator: dispatch WorkflowExecutor nodes via call_sub_orchestrator(dafx-{innerName}) with deterministic child instance ids ({instanceId}::{executorId}::{counter}), a trusted-input marker carrying nesting depth (bounded at 25), and outputs routed as messages (default) or parent outputs (allow_direct_output).
- Tests: registration/collect, orchestrator prepare/process/unwrap, recursive registration on both hosts. Sample: 11_subworkflow.
* feat(durabletask): sub-workflow HITL via qualified request ids (phase 4)
Surface a nested sub-workflow's human-in-the-loop request behind the top-level instance (B2 single addressing surface).
- Orchestrator records dispatched sub-workflow child instance ids in its custom status (subworkflows map) before suspending in task_all, so the read side can reach a child's pending request while the parent is paused.
- Read side (durabletask client get_pending_hitl_requests; AF status route) recurses into nested child statuses, qualifying each nested request id as {executorId}::{requestId} (accumulated for deeper nesting).
- Write side (durabletask client send_hitl_response; AF respond route) splits a qualified id on '::', resolves the owning child orchestration via the parent's subworkflows map, and raises the event on the leaf child with the bare request id. Unknown/inactive sub-workflow -> error/404.
- Shared SUBWORKFLOW_REQUEST_SEPARATOR ('::') in naming so both hosts and the client agree. respondUrl/respond always targets the top-level instance.
- Tests: TestSubworkflowHitl (durabletask client, 7), TestAgentFunctionAppSubworkflowHitl (AF, 7). Sample: 12_subworkflow_hitl (HITL pause inside an embedded sub-workflow).
* docs(durabletask): ADR + sample route docs for multi-workflow and sub-workflows (phase 5)
- Add ADR-0030 capturing the multi-workflow and sub-workflow hosting decisions (naming, scoped inner names, per-workflow routes, child-orchestration sub-workflows, hard-switch migration, B2 sub-workflow HITL, scoped agent addressing) with considered alternatives; mark the design doc as implemented and link the ADR.
- Update Azure Functions workflow samples (09-12) README/demo.http to the per-workflow route shape (workflow/{name}/run|status|respond) introduced in phase 2.
- Extend the durabletask sample catalog with the workflow hosting patterns (08-12), including the new 11_subworkflow and 12_subworkflow_hitl samples.
* fix(durabletask): harden sub-workflow hosting + add sub-workflow integration tests
Post-review hardening of the multi-workflow / sub-workflow durable hosting:
- Trust boundary: strip the reserved sub-workflow envelope key from untrusted
client input at both host boundaries (DurableWorkflowClient.start_workflow and
the AF start route) so a forged envelope cannot reach the trusted pickle path.
- Nested HITL addressing: qualify nested pending requests by (executorId, ordinal)
using a '~' separator (was '::', which collided with core's auto::N functional
request ids); the parent status subworkflows map is now a per-executor list so
multiple children dispatched in one superstep stay independently addressable.
- Reject two different workflow instances that share a name (the same instance
reused by sibling nodes is still deduped); validate executor ids (separator-free,
length-bounded) when hosting durably.
- Remove the arbitrary sub-workflow nesting depth cap: a WorkflowExecutor wraps a
concrete Workflow so the nesting tree is finite at build time, and the durable
instance-id length limit is the natural ceiling (matches .NET, which has none).
Tests/samples:
- New durabletask integration tests for sub-workflow composition (11) and nested
sub-workflow HITL (12); new no-agent AF sub-workflow HITL sample (13) + test.
- Exempt no-agent samples from the model-credential gate in both integration
conftests so the nested-HITL plumbing is covered deterministically.
- Update durabletask sample 12 docs to the new qualified-id format.
Validated: 484 unit tests; durabletask integration 08/09/11/12 and AF 12/13 pass
against the live emulators; pyright 0 errors; ruff clean.
* fix(durabletask): address PR review feedback on naming, typing, and docs
- Unquote df.DurableOrchestrationClient annotations so pyupgrade passes.
- Narrow the split_subworkflow_request_id result before unpacking in a naming test so the strict type checkers pass.
- Correct the durabletask sample catalog to the {executor}~{ordinal}~{requestId} qualified id format.
- Reword the Azure Functions sub-workflow sample intro so it does not imply a difference from a same-numbered sample.
- Drop internal shorthand (B2, phase labels) from code comments.
* fix(durabletask): reject case-insensitive workflow name collisions
The route ownership guard compares the durable orchestration name with casefold(), but registration kept raw names as distinct keys. Hosting 'Orders' and 'orders' therefore succeeded while either workflow's status/respond route could operate on the other's instances. Reject case-insensitive name collisions at registration (within a composition via collect_hosted_workflows, and across registration calls via the case-folded _registered_orchestrations map and the top-level guard in both hosts) so the case-folded ownership boundary stays real. Single names of any case remain valid; only collisions are rejected.
* docs(durabletask): remove multiworkflow/subworkflow ADR and design docs
Drop the ADR and design exploration documents and the dangling docstring reference to them.
* refactor(durabletask): simplify workflow client status parsing and drop deprecated orchestrator-name symbols
Extract a shared _parse_custom_status helper in DurableWorkflowClient to remove duplicated custom-status JSON parsing across three call sites.
Drop the now-unused single-workflow compatibility shims WORKFLOW_ORCHESTRATOR_NAME and WorkflowRegistrationPlan.orchestrator_name, replaced by per-workflow workflow_orchestrator_name(name).
* fix(core): drop WORKFLOW_ORCHESTRATOR_NAME from agent_framework.azure re-exports
The constant was removed from agent-framework-durabletask, but the core azure lazy-loading namespace still re-exported it, breaking pyright in packages/core. Remove it from both the runtime _IMPORTS map and the .pyi stub.
* fix(durabletask): atomic multi-workflow registration and bubble sub-workflow events
Make configure_workflow / AgentFunctionApp registration atomic: check every cross-call name collision before mutating any state, so a colliding nested sub-workflow no longer leaves a host partially configured (with the top-level name stuck in the registry). Applied to both the standalone worker and the Functions app.
Bubble sub-workflow intermediate events: a workflow run as a child orchestration now returns a SUBWORKFLOW_RESULT_KEY envelope carrying its outputs plus event timeline, and the parent re-tags the child's intermediate events with the WorkflowExecutor node id and republishes them, matching the in-process WorkflowExecutor contract. Top-level runs still return a bare outputs list.
Adds cross-registration atomicity tests on both hosts and unit tests for the result envelope and event bubbling. Resolves review threads on _worker.py, orchestrator.py, and test coverage.
* fix(azurefunctions): widen workflow orchestrator wrapper return type
The shared run_workflow_orchestrator now returns list | dict (the sub-workflow result envelope), so the azurefunctions _workflow.py wrapper that delegates to it must widen its Generator return annotation to match. Caught by the package-level pyright in CI (Package Checks), which type-checks the whole package, not just the files changed in the previous commit.
|
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Eduard van Valkenburg
|
0260ea0e61 |
Python: implement ADR-0029 service_session_id lifecycle mapping (#6724)
* python: implement ADR-0029 service_session_id lifecycle mapping - Extend AgentSession service_session_id to support structured values - Add agent-owned conversation id extraction for chat forwarding and telemetry - Migrate A2A durable continuation state to A2AServiceSessionId - Keep A2AAgentSession as compatibility shim and mark it deprecated - Update core/a2a tests and package guidance Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix service_session_id type fallout across packages Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix remaining test typing signatures for service_session_id Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix hosting test stubs for widened get_session type Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix remaining test stubs for get_session union type Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify A2A session state handling Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix import * Fix hosting-telegram test get_session typing Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Giles Odigwe
|
a25756b9ec |
Python: selective version bump for 1.10.0 release (date 260630) (#6840)
- Re-date all beta/alpha packages to 260630 (actual release date) - agent-framework-ag-ui: rc6 -> rc7 (fastapi bound update) - agent-framework-github-copilot: rc1 -> rc2 (approval hook feature) - Newly bumped: azure-ai-search, devui, gemini, hyperlight, ollama - CHANGELOG [1.10.0] date updated to 2026-06-30 with new entries - Hosting/hosting-responses/hosting-telegram excluded per team decision - Inter-package dependency bounds updated - uv.lock refreshed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Giles Odigwe
|
f1d838fc5e |
Python: bump package versions for 1.10.0 release (#6753)
* Python: bump package versions for 1.10.0 release - Released cohort (core, openai, foundry, root): 1.9.0/1.8.2 -> 1.10.0 - agent-framework-ag-ui: rc5 -> rc6 (tool history replay fix) - Beta/alpha packages with changes: anthropic, azurefunctions, bedrock, durabletask, hyperlight, purview, foundry-hosting, gemini, hosting, hosting-responses, hosting-telegram, tools bumped to new date stamp (260625) - Inter-package dependency bounds updated for changed packages - CHANGELOG.md updated with [1.10.0] section and compare links Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: update stale hosting dependency pins in hosting-responses and hosting-telegram Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * CI: cap xdist workers at 4 for Azure OpenAI and Functions integration jobs The Azure OpenAI and Functions+Durable Task integration jobs ran with `-n logical` (~20 workers on the hosted runner), oversubscribing the box and collapsing the whole pytest session (all workers reporting `node down: Not properly terminated`) in the merge queue. Pin these two jobs to `-n 4` in python-merge-tests.yml and python-integration-tests.yml to remove the oversubscription while keeping full coverage. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * test: temporarily skip flaky Python integration tests crashing the merge queue Revert the `-n 4` xdist experiment (it did not prevent the runner crash) and instead skip the integration tests that collapse the pytest-xdist runner in the merge queue (all workers report `node down: Not properly terminated`): - Azure OpenAI: flip the per-file `skip_if_azure_openai_integration_tests_disabled` guard to an unconditional skip (integration tests only; unit tests still run). - Azure Functions / Durable Task: skip the four specific failing tests (test_weather_agent, test_parallel_workflow_end_to_end, test_weather_agent_with_tool, test_conditional_branching). Tracked for re-enablement in #6777. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * test: skip flaky test_math_agent_with_tool (durabletask integration) Same empty-AgentResponse flakiness as test_weather_agent_with_tool in the same file (AssertionError: assert 0 > 0 / empty .text). Skip it in the merge queue. Tracked in #6777. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Tao Chen
|
7051a4920d |
Python: Add MCP as a hard dep in Foundry Hosting (#6634)
* Add MCP as a hard dep in Foundry Hosting * Pin GitHub SDK * Fix formatting * Fix formatting |
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|
Ahmed Muhsin
|
148f57020a |
Python: host MAF workflows on a standalone Durable Task worker (#6418)
* feat(durabletask): host MAF workflows on a standalone Durable Task worker
Add a host-agnostic workflow execution engine to agent-framework-durabletask so a MAF Workflow can run as a durable orchestration outside Azure Functions:
- WorkflowOrchestrationContext protocol + DurableTaskWorkflowContext adapter, the superstep orchestrator, serialization helpers, capturing runner context, and the shared non-agent activity body (including the yield-output classifier so intermediate executors are not surfaced as final outputs).
- DurableAIAgentWorker.configure_workflow auto-registers agent executors as entities, non-agent executors as activities, and the workflow orchestrator.
- plan_workflow_registration centralizes the 'what to register' decision so it can be shared across hosts.
- run_agent_coroutine runs all agent coroutines on one persistent event loop, fixing a cross-loop hang when shared chat clients/credentials bind their asyncio primitives to a dead loop.
- DurableWorkflowClient (start/await workflow + HITL discover/respond); DurableAIAgentClient stays agent-only.
* refactor(azurefunctions): delegate workflow execution to agent-framework-durabletask
AgentFunctionApp now reuses the shared orchestrator, activity body, and registration planner from agent_framework_durabletask instead of maintaining its own copies; _workflow.py becomes a thin host-specific adapter (AzureFunctionsWorkflowContext).
- Run agent entity coroutines on the shared persistent event loop, fixing the cross-loop hang.
- Relocate state-diff unit tests to the durabletask package; update entity loop tests.
* feat(core): expose durabletask workflow symbols via agent_framework.azure
Lazily re-export WORKFLOW_ORCHESTRATOR_NAME and DurableWorkflowClient from the agent_framework.azure namespace so standalone hosts can import them without depending on internal module paths.
* docs(samples): add standalone durabletask workflow and HITL samples
Add two samples under samples/04-hosting/durabletask demonstrating MAF workflows on a standalone Durable Task worker (no Azure Functions):
- 08_workflow: conditional spam-detection workflow started via DurableWorkflowClient.start_workflow / await_workflow_output.
- 09_workflow_hitl: content-moderation workflow that pauses with ctx.request_info and is resumed via DurableWorkflowClient.get_pending_hitl_requests / send_hitl_response.
Also add the durabletask workflow integration test (test_08_dt_workflow).
* fix: address PR review feedback
- Sanitize HITL external-event responses with strip_pickle_markers in the orchestrator (defense-in-depth for callers that bypass DurableWorkflowClient).
- Raise WorkflowConvergenceException when max_iterations is reached with pending messages, matching the core WorkflowRunner instead of silently returning partial output.
- Route falsy 'sent' messages (use 'is not None' instead of truthiness).
- Normalize None shared_state_snapshot/source_executor_ids in execute_workflow_activity.
- Cast Any returns in AzureFunctionsWorkflowContext to satisfy mypy/pyright.
- Fix sample docstrings to reference DurableWorkflowClient.
* fix: resolve pyright Package Checks errors
- Use typed locals instead of cast in AzureFunctionsWorkflowContext (mypy sees Any, pyright sees concrete types -> avoid reportUnnecessaryCast).
- Annotate shared_state_snapshot and cast partially-typed durabletask SDK returns / HITL custom-status parsing to satisfy reportUnknownVariableType/reportUnknownMemberType.
- Drop the dead deserialize/serialize re-export in _workflow.py and mark the intentional private _extract_message_content re-export.
* fix(durabletask): agent-executor identity and typed workflow input
Register each workflow agent entity under the executor id that the orchestrator dispatches to (instead of the agent name), so AgentExecutor(agent, id=...) works when the id differs from agent.name. The azure-functions host mirrors this.
Reconstruct the start executor declared input type from the workflow initial JSON payload in the shared engine (mirroring in-process delivery) instead of string-coercing it per host. Untrusted input is stripped of pickle markers before reconstruction to prevent deserialization RCE.
* fix(samples): type durable workflow start executors for reconstructed input
The HITL and parallel workflow samples no longer hand-parse a JSON string. Their start executors now declare their real input type (ContentSubmission / DocumentInput), which the durable engine reconstructs from the client payload before delivery.
* test(durabletask): unit coverage for registration, client, worker, and input coercion
Add unit tests for plan_workflow_registration, DurableWorkflowClient, the agent-executor identity registration (entity keyed by executor id), and the typed initial-input coercion including pickle-marker neutralization.
* test(durabletask): HITL and parallel durable workflow integration tests
Add an integration test for the standalone durabletask HITL workflow sample via a new workflow_client fixture. Re-enable the Azure Functions parallel workflow test, consolidated into one end-to-end case so the work-stealing xdist scheduler cannot spawn multiple func hosts for this sample.
* refactor(durabletask): group workflow modules into a _workflows subpackage
Move the eight workflow modules into a private _workflows/ subpackage and drop the redundant _workflow_ prefix (orchestrator.py, registration.py, activity.py, client.py, context.py, dt_context.py, runner_context.py, serialization.py). The public API and __all__ are unchanged; only direct internal-module imports were repointed (package __init__, the worker, the azure-functions shared shim, and the affected unit tests).
* fix(durabletask): harden workflow type resolution and HITL response handling
- resolve_type returns only real classes (avoids issubclass TypeError in reconstruct_to_type)
- re-wait on HITL responses rejected by pickle-marker sanitization instead of dropping the request and losing the run
- American spelling in strip_pickle_markers docstring
- unit tests for resolve_type
* fix(durabletask): treat async edge conditions as not-matched on the synchronous host
The durabletask orchestrator evaluates edge conditions synchronously and does not support async edge conditions. Such an edge is now treated as not matched (the edge is not traversed) rather than assuming a result. Adds unit coverage; full async-condition support will be handled separately.
* fix(durabletask): reconstruct typed workflow outputs at the host boundary
await_workflow_output and the Azure Functions status endpoint now decode the checkpoint-encoded outputs the shared activity produces, via a shared deserialize_workflow_output helper. The client returns the original objects; the AF endpoint emits clean domain JSON instead of checkpoint-marker dicts, keeping the two hosts consistent.
* fix(durabletask): address review findings on workflow hosting
- AF: register workflow agents through add_agent(entity_id=...) so they remain tracked in app.agents / get_agent() (restores documented behavior) while keying by the executor id the orchestrator dispatches to; mirrors DurableAIAgentWorker.add_agent.
- async bridge: treat the shared loop as reusable only while its backing thread is alive, so a dead loop thread is replaced instead of hanging future.result() forever.
- client: add get_runtime_status; the standalone HITL sample now stops polling and reports the real terminal state instead of a generic timeout.
- tests: guard send_hitl_response pickle-marker stripping and add get_runtime_status coverage.
* fix(durabletask): wait indefinitely for HITL responses, matching core
The durable workflow host previously raced HITL responses against a 72h timer and failed the orchestration on elapse. MAF core's request_info has no timeout concept (it waits for the response), and the .NET durable host waits too, so the durable Python host now does the same: it stays paused until a response arrives. Removes the hitl_timeout_hours parameter and DEFAULT_HITL_TIMEOUT_HOURS constant from both hosts. A configurable timeout can be added later once core defines the contract (what happens on elapse).
* feat(durabletask): typed workflow event streaming and async client API
Add a brokerless workflow event stream to the durable host. Each non-agent executor runs inside a durable activity that captures its real WorkflowEvents (with data payloads); the orchestrator replays them into the orchestration custom status after each superstep, and the client streams them back as typed WorkflowEvent objects with reconstructed data. Agent executors contribute synthesized invoked/completed lifecycle events.
Add async client methods run_workflow (start with optional wait) and stream_workflow (typed event iterator), plus is_replaying plumbing through the orchestration context protocol and both host adapters so live status is published only on non-replay execution.
* docs(samples): standalone durabletask workflow streaming sample
Add sample 10_workflow_streaming demonstrating the async DurableWorkflowClient API on a standalone Durable Task worker: run_workflow(wait=False) to start without blocking, then stream_workflow to consume typed WorkflowEvent objects as a WriterAgent -> ReviewerAgent -> publish pipeline runs.
* refactor(durabletask): internal-only checkpoint codec and host-scoped workflow event streaming
Two related hardening changes to the durable workflow hosting layer, plus a
rebase-restored improvement.
Internal-only serialization codec (MSRC follow-up):
- Rename serialize_value/deserialize_value -> _serialize_value/_deserialize_value
in the shared durabletask serialization module and update all call sites, so the
pickle-backed checkpoint codec is unambiguously framework-internal. Untrusted
input is still neutralized with strip_pickle_markers at the HTTP boundary.
- Remove the duplicate agent_framework_azurefunctions._serialization module and
import strip_pickle_markers from the shared durabletask module instead. Move its
unique serialization/strip-marker tests into the durabletask test suite.
Scope workflow event streaming to hosts that can carry it:
- Add WorkflowOrchestrationContext.supports_event_streaming. The standalone
DurableTask host returns True (no custom-status size cap, has a stream_workflow
consumer); the Azure Functions host returns False.
- The orchestrator now accumulates and publishes the WorkflowEvent timeline to the
orchestration custom status only when the host supports streaming. On Azure
Functions the custom status returns to its pre-streaming shape
({state[, pending_requests]}), which fixes orchestrator failures with
"The size of the JSON-serialized payload must not exceed 16 KB" and stops leaking
pickle markers into the HTTP status response. The Azure Functions status endpoint
never consumed the event stream.
Workflow start endpoint:
- Accept text/plain raw request bodies (fall back from get_json to the raw body),
restoring an improvement from main that the rebase conflict resolution dropped.
* fix(azurefunctions): scope workflow status/respond endpoints to the workflow orchestrator
The workflow/status/{instanceId} and workflow/respond/{instanceId}/{requestId}
HTTP endpoints resolved durable instances by ID only. The durable client looks up
IDs across every orchestration in the task hub (agent entities, any
user-registered orchestrations, and other apps sharing the hub), so a caller
holding one instance ID could read another orchestration's status -- including
pending HITL request payloads -- or inject external events into it.
Add AgentFunctionApp._is_workflow_orchestration() and gate both endpoints on it:
an instance whose orchestration name is not WORKFLOW_ORCHESTRATOR_NAME now returns
404 instead of leaking state or accepting events. send_hitl_response now fetches
the orchestration status and validates ownership before raising the external
event. Legitimate workflow instances are unaffected.
Mirrors the .NET fix in PR #6608.
* fix(durabletask): resolve CI typing failures
- serialization: rename _serialize_value/_deserialize_value back to
serialize_value/deserialize_value to follow the package convention for
cross-module internal helpers (matches strip_pickle_markers, resolve_type).
The leading underscore tripped pyright reportPrivateUsage on cross-module
imports under the strict source gate; internal-only status is preserved by
not exporting them from the public API.
- Remove type-ignore comments pyright flags as unnecessary
(reportUnnecessaryTypeIgnoreComment) in _worker.py, orchestrator.py,
serialization.py.
- test_08_dt_workflow: add AgentClientFactoryProtocol and annotate the
agent_client_factory fixture as type[AgentClientFactoryProtocol] (matching
test_01-07) so mypy/ty stop reporting "type has no attribute create".
- samples (08_workflow, 09_workflow_hitl): pass structured output via
FoundryChatOptions[Any](response_format=...) instead of a plain dict so the
samples pyright (basic) config accepts default_options.
---------
Co-authored-by: Gavin Aguiar <80794152+gavin-aguiar@users.noreply.github.com>
|
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Eduard van Valkenburg
|
6e95517659 |
Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) (#6443)
* Python: Split type checkers by target (pyright source, 5 checkers on tests/samples) Rework the typing setup along the lines of the 'too many type checkers' approach: - Pyright (strict) is now the sole source-code type checker; mypy is removed from source and its [tool.mypy] block becomes a relaxed profile used only for tests/samples. - Tests are checked by all five checkers (pyright relaxed, mypy, pyrefly, ty, zuban); samples by pyright, pyrefly, and ty. All run in a relaxed/ basic profile so authors aren't forced into over-annotation. - Add pyrightconfig.tests.json and bump sample pyright configs to basic. - Unify test/sample typing onto the same parallel fan-out used by source pyright via run_command_items in task_runner.py. - Make version-conditional imports symmetric: keep or drop the '# type: ignore' on both branches so results match across interpreter versions (local vs CI). - Update SKILL.md, DEV_SETUP.md, and CODING_STANDARD.md for the five gating checkers and pyright on source+tests+samples. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix merge regressions from main (typing + runtime) Merging main into the type-checker split branch surfaced regressions that the new five-checker test suite and unit tests caught: Runtime fixes: - anthropic: restore the dropped `cache_read_input_token_count` mapping in _parse_usage_from_anthropic (lost during merge conflict resolution). - gemini: _get_function_calling_mode test helper returned str(enum) ('FunctionCallingConfigMode.AUTO') instead of the enum value ('AUTO'). - openai: _response_id_from_token test helper was an infinite self-recursion; return token['response_id']. - orchestrations: reset output_events per approval iteration so the terminal output assertion counts only the final run. - core: drop a stale duplicate harness test whose message ('non-negative') contradicted the source ('positive'). - purview: import PolicyLocation/PolicyScope/ProtectionScopeActivities/ ExecutionMode used by the processor tests. Type-checker fixes (tests, relaxed profile): - core: pyright/mypy/pyrefly/ty/zuban green-ups across the harness, MCP, observability and types tests. - anthropic/openai: route provider-namespaced UsageDetails keys through a dict cast (extra_items TypedDict unsupported by mypy/ty). - purview: typed model constructors and cache-mock casts. - ag-ui: annotate WorkflowContext[Any, Any] so yield_output accepts test payloads, guard Optional forwarded_props, and ty-ignore intentional bad args. Source pyright (sole source checker) flagged unnecessary ignores newly introduced by merged code in core _tools.py and declarative _declarative_base.py. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Isolate per-package mypy cache in test-typing fan-out The parallel test-typing fan-out runs many mypy processes concurrently, all defaulting to a single shared ./.mypy_cache. Concurrent writes corrupt the cache and mypy aborts with INTERNAL ERROR (intermittently, depending on worker timing) -- which is why CI's Test Typing job failed on a shifting set of packages while a single-package run was fine. Give each mypy invocation an isolated cache dir keyed by its target paths so incremental caching still works per package without races. Other checkers (zuban/pyrefly/ty/pyright) maintain their own caches and are unaffected. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Make lab pyright-only on source (drop source mypy) Lab was the last package still running mypy on its source code, requiring mypy-only `# type: ignore` comments that pyright (the sole source checker everywhere else) flags as unnecessary. Align lab with the rest of the monorepo: - Remove the lab source mypy poe tasks (mypy-gaia/lightning/tau2) and the now-dead strict [tool.mypy] config block. - Drop the 'Run lab mypy' CI step; lab source is type-checked by pyright only. Lab tests remain covered by the workspace test-typing fan-out (mypy, pyrefly, ty, zuban, pyright over tests using the relaxed root config). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix test-typing regressions from latest main merge A fresh merge from main brought in new test code never run under the five-checker test-typing suite. Green up across the affected packages: - core: narrow Optional span.attributes with 'and' guards in span filters and assert+cast the json.loads(...attributes[...]) reads (test_observability); match the existing as_agent ignore on the protocol-typed fixture (test_clients). - openai: align new streaming tests with the established chat_options dict pattern (ChatOptions TypedDict isn't assignable to dict), route Optional .annotations[0] access through a small _first_annotation helper (mirrors the file's assert-not-None convention), and annotate a mapped ResponseStream. - foundry_hosting: annotate error: dict[str, Any] = body.get(...) or {} (zuban needs the annotation). - foundry: narrow ignores for the live AIProjectClient credential arg (pyrefly) and connections.get_default (zuban) SDK type gaps. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated pyright version * pyright fix * Python: Fix source typing for pyright 1.1.410 Pyright 1.1.410 tightened several checks. Apply the same source fixes as upstream PR #6275: - anthropic: import AsyncAnthropicBedrock from anthropic.lib.bedrock and AsyncAnthropicVertex from anthropic.lib.vertex (no longer re-exported from the anthropic top-level package -> reportPrivateImportUsage). - core _types.py: cast the transform-hook result to UpdateT (reportAssignmentType). - core _workflows/_events.py: annotate the @contextmanager helper as Generator[None] instead of Iterator[None] (reportDeprecated). - redis: build the combined filter expression with an explicit loop instead of reduce(and_, ...), which pyright could no longer fully type (drops the now unused functools.reduce / operator.and_ imports). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Accept plain-text body in Azure Functions workflow/run endpoint The workflow_orchestrator already accepts plain strings as well as JSON objects via context.get_input(), but the start_workflow_orchestration HTTP handler only accepted JSON and returned 400 for any non-JSON body. This made the functions integration tests that POST text/plain to /api/workflow/run (e.g. test_09_workflow_shared_state) fail consistently with 400 != 202. Fall back to the raw request body (decoded as UTF-8) when the body is not JSON, rejecting only a truly empty body. The JSON path is unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
|
Eduard van Valkenburg
|
8091d052d8 |
Python: refresh dev dependencies and validate runtime bounds (#6238)
Updates third-party dev dependencies across the Python workspace and validates that all runtime dependency bounds still hold at both ends. Dev dependency bumps (root, lab, declarative, durabletask): - uv 0.11.6 -> 0.11.17, ruff 0.15.8 -> 0.15.15, pytest-asyncio 1.3.0 -> 1.4.0, mcp 1.27.0 -> 1.27.2, azure-monitor-opentelemetry 1.8.7 -> 1.8.8, poethepoet 0.42.1 -> 0.46.0, prek 0.3.9 -> 0.4.3, types-python-dateutil and types-PyYaml stub bumps. - Transitive Dependabot items swept via lock: idna 3.11 -> 3.17, pip 26.0.1 -> 26.1.2. Deliberately excluded: - opentelemetry-sdk stays 1.40.0: azure-monitor-opentelemetry (incl. 1.8.8) hard-pins opentelemetry-sdk==1.40. - mypy stays 1.20.0 and pyright stays 1.1.408: the 2.1.0 / 1.1.409 bumps introduce new diagnostics that fail type checking and need dedicated PRs. - rich kept as a range: agentlightning (lab[lightning]) forces rich==13.9.4. Code/formatting changes driven by the ruff upgrade: - devui lifespan now uses try/finally so shutdown cleanup always runs (ruff RUF075). - Removed unused TYPE_CHECKING imports in core and foundry flagged by ruff 0.15.15. - Reapplied ruff 0.15.15 formatting to the files it changed. Validation: validate-dependency-bounds-test "*" passes (31/31 lower + 31/31 upper); typing 62/62; lint 31/31; devui tests pass. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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|
Giles Odigwe
|
950673ba47 |
Python: bump package versions for 1.6.0 release (#6017)
* Python: bump package versions for 1.6.0 release - Released cohort (agent-framework, core, openai, foundry): 1.5.0 -> 1.6.0 - Beta packages (21 packages): 1.0.0b260519 -> 1.0.0b260521 - Alpha packages (azure-contentunderstanding, foundry-hosting, gemini, monty): 1.0.0a260518/19 -> 1.0.0a260521 - ag-ui stays at 1.0.0rc2, orchestrations at 1.0.0rc1 (dependency bounds updated) - Inter-package dependency lower bounds updated (>=1.5.0,<2 -> >=1.6.0,<2) - Update CHANGELOG compare links - uv.lock refreshed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: bump RC packages, add shell tool to changelog - ag-ui: 1.0.0rc2 -> 1.0.0rc3 - orchestrations: 1.0.0rc1 -> 1.0.0rc2 - Add shell tool (#5664) to CHANGELOG - uv.lock refreshed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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|
Evan Mattson
|
4b0522d62d |
Python: Bump Python package versions for a release (#5964)
* Bump Python package versions to 1.5.0 for a release
* Promote orchestrations to 1.0.0rc1
* ci(python-setup): merge dynamic exclude into existing workspace exclude
The python-setup action injected exclude = [...] verbatim into
[tool.uv.workspace], producing a duplicate 'exclude' key when the
section already had a static exclude. Scope the rewrite to the
[tool.uv.workspace] section and append the package to the existing
array when present; idempotent if the package is already excluded.
* Address Copilot review feedback: raise inter-package floors to 1.5.0
- foundry, foundry-local: agent-framework-openai >=1.4.0 -> >=1.5.0
- azure-contentunderstanding: agent-framework-foundry >=1.4.0 -> >=1.5.0
- azurefunctions: pin agent-framework-durabletask to >=1.0.0b260519,<2
Keeps lockstep cohort consistent and avoids mixed 1.4.x / 1.5.0 installs.
* Re-include azurefunctions and durabletask in the uv workspace
The pinned durabletask>=1.4.0 floor is enough to make resolution succeed;
the workspace exclude was over-correction and broke CI samples and pyright
type-checking (re-exports in agent_framework/azure/__init__.pyi plus
samples/04-hosting/{azure_functions,durabletask}/ could not resolve their
imports). Dropping them from agent-framework-core[all] still stands so the
metapackage does not pull them.
* Restore azurefunctions and durabletask in agent-framework-core[all]
The durabletask floor pin keeps users on the safe 1.4.0, so they are once
again included in the metapackage. Update CHANGELOG to reflect the pin
rather than an [all] removal.
* Raise uvicorn ceiling in ag-ui and devui to allow 0.42+
The root override-dependencies pins uvicorn[standard]>=0.34.0 (no upper)
and the workspace lock resolves to 0.47.0. The package ceiling <0.42.0
meant the workspace was no longer testing the declared supported range.
Bump to <1 so the lock fits within the declared bounds.
Also picked up by validate-dependency-bounds: refresh stale orchestrations
RC pin in devui dev deps.
|
||
|
Giles Odigwe
|
47fa59f8e9 |
Python: bump package versions for 1.4.0 release (#5872)
* fixes * fixes * Python: bump package versions for 1.4.0 release Cuts the python-1.4.0 release. MINOR bump on the released cohort (agent-framework, agent-framework-core, agent-framework-openai, agent-framework-foundry: 1.3.0 -> 1.4.0), driven by breaking changes in experimental skills API and new features. All 21 beta packages stamp 1.0.0b260514, all 3 alpha packages stamp 1.0.0a260514, and ag-ui remains at 1.0.0rc1 (freshly promoted). Date stamp reflects 2026-05-14 Pacific. - Released cohort: 1.3.0 -> 1.4.0 - Beta packages (21): 1.0.0b260507 -> 1.0.0b260514 - Alpha packages (3): 1.0.0a260507 -> 1.0.0a260514 - ag-ui: stays at 1.0.0rc1 (dep bound updated only) - Inter-package dependency lower bounds updated (>=1.3.0 -> >=1.4.0) - Fix chatkit StructuredInputItem exhaustiveness for openai-chatkit 1.6.4 - Update CHANGELOG compare links - uv.lock refreshed Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
|
Giles Odigwe
|
0340b7596b |
Python: bump package versions for 1.3.0 release (#5706)
* Python: bump package versions for 1.3.0 release MINOR bump on the released cohort (agent-framework, agent-framework-core, agent-framework-openai, agent-framework-foundry: 1.2.2 -> 1.3.0). All 22 beta packages stamp 1.0.0b260507 and all 3 alpha packages stamp 1.0.0a260507 per the lockstep convention. Date stamp reflects 2026-05-07 Pacific. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: bump foundry_local openai floor, fix devui orchestrations pin, clarify breaking scope - foundry_local: bump agent-framework-openai lower bound from >=1.1.0 to >=1.3.0 - devui: update stale agent-framework-orchestrations dev pin from 1.0.0b260402 to 1.0.0b260507 - CHANGELOG: clarify [BREAKING] applies to experimental skills API only Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert devui orchestrations pin to 1.0.0b260402 to avoid breaking DevUI Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
|
Giles Odigwe
|
540193ccef |
Python: Reduce flaky integration tests and improve CI signal quality (#5454)
* Enable Ollama integration tests in CI and rename report to Integration Test Report
- Install Ollama, cache models (qwen2.5:0.5b + nomic-embed-text), and start
server in the Misc integration job for both workflow files
- Set OLLAMA_MODEL and OLLAMA_EMBEDDING_MODEL env vars so the 5 Ollama tests
are no longer skipped
- Rename Flaky Test Report to Integration Test Report throughout (job names,
artifact names, cache keys, file names, script titles/docstrings)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Ollama model to qwen2.5:1.5b for better instruction following
The 0.5b model was too small to reliably follow simple prompts like
'Say Hello World', causing test assertion failures. The 1.5b model
follows instructions more reliably while still being small enough
for fast CI pulls (~1GB).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable reliable streaming integration tests
Remove the hard skip on test_03_reliable_streaming tests that was
temporarily disabled for instability investigation. CI infrastructure
(Azurite, DTS emulator, Redis, func CLI) is already in place.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable skipped Functions/DurableTask tests and bump timeout to 480s
- Remove hard skips from 4 tests in test_11_workflow_parallel.py
- Remove hard skip from test_conditional_branching in test_06_dt_multi_agent_orchestration_conditionals.py
- Increase pytest --timeout from 360 to 480 for Functions+DurableTask CI job
- Updated in both python-merge-tests.yml and python-integration-tests.yml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-skip failing Functions/DurableTask tests with specific root causes
- test_11_workflow_parallel (4 tests): xdist worker crashes during execution
- test_conditional_branching: orchestration fails with RuntimeError, not a timeout
- Keep 480s timeout bump for remaining Functions tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix auth routing in samples 06/11: api_key -> credential for Azure OpenAI
Both samples passed a bearer token provider via api_key= which caused the
client to route to api.openai.com instead of Azure OpenAI, resulting in
401 Unauthorized. Changed to credential= which correctly triggers Azure
routing and picks up AZURE_OPENAI_ENDPOINT from the environment.
- samples/azure_functions/11_workflow_parallel/function_app.py: 1 fix
- samples/durabletask/06_multi_agent_orchestration_conditionals/worker.py: 2 fixes
- Re-enable 4 parallel workflow tests and 1 conditional branching test
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-skip parallel workflow tests: xdist worker distribution issue
The 4 parallel workflow tests crash because xdist worksteal distributes
them across separate workers, each spawning its own func process against
shared emulators. Auth fix (api_key->credential) was valid and stays.
test_conditional_branching now passes with the auth fix.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix E501 line-too-long in azurefunctions parallel test skip reasons
Wrap skip reason strings to stay within 120 char line limit.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add retry logic and port-conflict fix for Ollama CI setup
- Kill any auto-started Ollama before launching serve (fixes port
conflict: 'address already in use')
- Retry ollama pull up to 3 times with 15s backoff (fixes 429 rate
limit failures)
- Applied to both python-merge-tests.yml and python-integration-tests.yml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix flaky integration tests and re-enable skipped tests
- Foundry agent: add allow_preview=True to custom client test
- Foundry hosting: raise max_output_tokens 50->200, add temperature,
relax assertion in test_temperature_and_max_tokens
- Foundry embedding: update skip reason with root cause (endpoint mismatch)
- OpenAI file search: fix vector store indexing race condition by polling
file_counts before querying; fix get_streaming_response -> get_response(stream=True)
- Azure OpenAI file search: remove skip (transient 500 resolved)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Remove temperature from foundry hosting test (unsupported by CI model)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Stabilize Ollama tool call integration tests with no-arg function
Use a no-argument greet() function instead of hello_world(arg1) for
integration tests. The 1.5B model in CI is unreliable at generating
correct tool call arguments, causing 'Argument parsing failed' errors.
A no-arg function eliminates this flakiness entirely.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Increase reliable streaming test timeouts from 30s to 60s
The LLM call through Azure OpenAI + Redis streaming pipeline can exceed
30s in CI due to cold starts or throttling. Raise to 60s to reduce
flaky timeouts while still bounded by pytest's 120s per-test limit.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable workflow parallel tests with xdist_group marker
The tests were skipped because xdist distributes module tests across
workers, each spawning their own func process (port conflicts). Adding
xdist_group forces all tests in this module onto a single worker so
the module-scoped function_app_for_test fixture works correctly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert "Re-enable workflow parallel tests with xdist_group marker"
This reverts commit
|
||
|
Evan Mattson
|
f5419b9f38 |
Python: bump package versions for 1.2.2 release (#5561)
* Python: bump package versions for 1.2.2 release PATCH bump (1.2.1 -> 1.2.2) for the released cohort. Five PRs land in this window: - agent-framework-openai: fix file_search citations breaking the assistant- message history roundtrip (#5557) — drives the released-tier PATCH - agent-framework-orchestrations: [BREAKING] standardize orchestration terminal outputs as AgentResponse (#5301) - agent-framework-core, agent-framework-declarative: preserve Workflow.run() shared state across calls, accept list[Message] in declarative start executor, and coerce Enum values when serializing PowerFx symbols (#5531) - agent-framework-foundry-hosting: add hosted Durable Workflow support (#5531) - agent-framework-azure-contentunderstanding: new alpha package — Azure AI Content Understanding context provider (#4829) - dependencies: workspace package dependency refresh (#5555) Per lockstep convention, all 21 beta packages stamp 1.0.0b260429 and all 4 alpha packages (now including the new contentunderstanding) stamp 1.0.0a260429. Date stamp reflects 2026-04-29 Pacific. Every non-core package floor on agent-framework-core is raised to >=1.2.2; the new contentunderstanding package's stale >=1.0.0 floor is brought into line. Two follow-on fixes bundled to keep validate-dependency-bounds-test green at lowest-direct resolution: - Bump agent-framework-azure-contentunderstanding's azure-ai-content understanding lower bound from >=1.0.0 to >=1.0.1 (1.0.0 ships without proper typing — pyright reports 65 unknown-type errors) - Add pyright ignore comments to core/foundry/__init__.pyi for the new alpha package's type-stub imports, since alpha packages are not in core's [all] extra and therefore aren't installed at lowest-direct * Python: add #5552 to 1.2.2 CHANGELOG Add the streaming-span observability fix to the Fixed section. PR is on upstream/main but not yet pulled into origin/main; the code itself will land via the PR merge. * Python: address PR #5561 review feedback on dependency bounds Two packaging fixes flagged in review: 1. agent-framework-azure-contentunderstanding: add agent-framework-foundry as a runtime dependency. The package's README directs users to `pip install agent-framework-azure-contentunderstanding --pre` and the basic example imports `FoundryChatClient` from `agent_framework.foundry`, so the documented install path was failing with ImportError. Pulling agent-framework-foundry into deps makes the advertised entry path self-contained. 2. agent-framework-foundry: bump agent-framework-openai lower bound from >=1.1.0 to >=1.2.2,<2. Foundry imports private modules from agent_framework_openai (`_chat_client.py:22`, `_agent.py:34`), so resolvers were free to pair foundry==1.2.2 with older OpenAI versions that lack this release's coordinated Responses/history fix. Lockstep the floor with the released cohort to prevent mismatched installs. Both changes pass `validate-dependency-bounds-test` lower + upper at their respective packages. |
||
|
Evan Mattson
|
3a463b8bf6 |
Python: bump package versions for 1.2.1 release (#5536)
* Python: bump package versions for 1.2.1 release PATCH bump (1.2.0 -> 1.2.1) for the released cohort. The release window covers two PRs, no new public APIs: - agent-framework-core: prevent inner_exception from being lost in AgentFrameworkException (#5167) - samples: add requirements.txt and .env.example to the a2a/ hosting sample for pip-based setup (#5510) Per lockstep convention, all 21 beta packages stamp 1.0.0b260428 and all 3 alpha packages stamp 1.0.0a260428, regardless of per-package code churn. Every non-core package floor on agent-framework-core is raised to >=1.2.1 to keep cohort signaling consistent. Date stamp reflects the local (Asia) cut date 2026-04-28. * Python: silence pyright unknown-type warnings in hosted-env detection `azure.ai.agentserver.core` is probed at runtime via `importlib.util.find_spec` and is not a declared dependency. The existing `# pyright: ignore[reportMissingImports]` suppresses the missing-import warning, but at `lowest-direct` resolution pyright still reports the imported symbol (`AgentConfig`) and its members (`from_env`, `is_hosted`) as unknown, breaking `validate-dependency-bounds-test` for `packages/core`. Extend the existing ignore to cover `reportUnknownVariableType` on the import and `reportUnknownMemberType` on the call site so the bounds check returns to green. Behavior is unchanged. Latent since #5455 (shipped in 1.2.0). * Python: raise agent-framework-gemini lower bound to google-genai>=1.65.0 The Gemini chat client references several `google.genai.types` symbols (`FileSearch`, `ThinkingLevel`, `SearchTypes`, `McpServer`, `StreamableHttpTransport`, plus call-site keyword args `mcp_servers` and `search_types`) that are not present at the lower bound of `google-genai>=1.0.0`. At `lowest-direct` resolution this caused `validate-dependency-bounds-test` to fail for `packages/gemini` with eleven `reportAttributeAccessIssue` / `reportUnknownVariableType` errors. Walking the upstream `google.genai.types` API: - `GoogleMaps`, `AuthConfig`: present from 1.40.0 - `FileSearch`: introduced in 1.49.0 - `ThinkingLevel`: introduced in 1.55.0 - `SearchTypes`, `McpServer`, `StreamableHttpTransport`: introduced in 1.65.0 Bump the lower bound to 1.65.0 — the minimum version that exposes every symbol the package actually uses. Keep the `<2.0.0` upper cap unchanged. With this bump `validate-dependency-bounds-test` passes for both lower and upper resolution scenarios across all 27 workspace packages. Latent since #4847 (Gemini package introduction in 1.1.0); aggravated by subsequent feature additions that pulled in newer `types.*` symbols. * Python: add dependabot bumps to 1.2.1 CHANGELOG Catalog the 15 dependabot dependency updates that merged on `upstream/main` between python-1.2.0 and the 1.2.1 cut window under a new Changed section: - Workspace dev/runtime deps: `rich`, `prek`, `python-multipart`, `pyasn1`, `pytest` (ag-ui, devui, lab), `uv` (lab) - Frontend deps: `vite` (devui, chatkit), `postcss` (devui, chatkit, handoff), `picomatch` (devui, handoff) CHANGELOG-only — no source or pyproject.toml changes. PRs themselves merged upstream independently of this release branch and will be brought in via the PR merge. |
||
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Evan Mattson
|
0b69d7fd15 |
Python: Bump Python package versions for 1.2.0 release (#5468)
* Bump Python package versions for 1.2.0 release Released tier bumps 1.1.1 -> 1.2.0 (core, openai, foundry, root) to reflect additive public APIs landed since 1.1.0: functional workflow API (#4238) and FunctionTool SKIP_PARSING sentinel (#5424). All beta packages stamped 1.0.0b260424, alpha packages 1.0.0a260424. All 26 non-core agent-framework-core floors raised to >=1.2.0,<2. CHANGELOG consolidates the never-tagged 1.1.1 entries with the post-merge additions into [1.2.0]. * Update CHANGELOG footer links for 1.2.0 Advance [Unreleased] comparison base from python-1.1.0 to python-1.2.0 and add a [1.2.0] reference link comparing python-1.1.0...python-1.2.0 so the heading links resolve correctly. * Fix CHANGELOG: restore [1.1.1] section and add proper [1.2.0] Previous commit incorrectly renamed the [1.1.1] header to [1.2.0], which wiped the historical 1.1.1 entries and wrongly attributed them to 1.2.0. This restores [1.1.1] to its origin/main content and adds a new [1.2.0] section above containing only the commits in python-1.1.1..HEAD: - #4238 functional workflow API - #5142 GitHub Copilot OpenTelemetry - #2403 A2A bridge support - #5070 oauth_consent_request events in Foundry clients - #5447 FoundryAgent hosted agent sessions - #5459 hosting server dependency upgrade + types - #5389 AG-UI reasoning/multimodal parsing fix - #5440 stop [TOOLBOXES] warning spam - #5455 user agent prefix fix Also corrects the [1.2.0] compare base to python-1.1.1 (not 1.1.0) and adds the missing [1.1.1] reference link. |
||
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Evan Mattson
|
acec9caa2f |
Python: Bump Python package versions for a release. (#5432)
* Bump Python version for a release. * Revert lockstep bumps on unchanged connectors Per PR review: only connectors that changed (or whose published metadata changed) should get new versions. Keeps released tier at 1.1.1, a2a/ag-ui at 1.0.0b260422, foundry-hosting at 1.0.0a260422; reverts the 19 unchanged betas and 2 unchanged alphas to 1.0.0b260421/1.0.0a260421. Reverts all 26 non-core agent-framework-core floors to >=1.1.0,<2 since no connector actually depends on a 1.1.1 API or bug fix. * Restore lockstep prerelease bumps and raise core floors to >=1.1.1 Reverses the lean-revert: all beta packages stamped 1.0.0b260423 and alpha packages stamped 1.0.0a260423 (Asia date, matching release cut time). All 26 non-core packages raise agent-framework-core lower bound from >=1.1.0,<2 to >=1.1.1,<2 to signal the validated cohort for this release. CHANGELOG date updated to 2026-04-23. |
||
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Evan Mattson
|
2c8036779c |
Python: Bump versions for a release. Update CHANGELOG (#5385)
* Bump versions for a release. Update CHANGELOG * Bump devui |
||
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Evan Mattson
|
4a36f10888 |
Python: Bump Python version to 1.0.1 for a release (#5196)
* Bump Python version to 1.1.0 for a release * Fix changelog * 1.0.1 instead of 1.1.0 * Update CHANGELOG.md * update version and changelog * Bump lower bounds |
||
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Evan Mattson
|
a7a02c1abd | Fix test compat for entity key validation (#5179) | ||
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Eduard van Valkenburg
|
3446eb8d5d |
Python: [BREAKING] update to v1.0.0 (#5062)
* updates to final deprecated pieces and versions * fix mypy * fix readme links |
||
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Eduard van Valkenburg
|
6acab3d1d6 |
Python: [BREAKING] Standardize model selection on model (#4999)
* Refactor Anthropic model option and provider clients Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Anthropic skills sample typing Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * undo sample mypy * Retry CI after transient external failures Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback on model option merging Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Anthropic compatibility review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * moved all to `model` * fixes for azure ai search * Python: standardize remaining sample env var names Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: fix foundry-local pyright compatibility Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated env vars in cicd --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
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Eduard van Valkenburg
|
3a49b1d6dd |
Python: [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces (#4990)
* [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces Also clean up follow-on docs, environment guidance, package metadata, and lab test stability. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix deleted semantic-kernel sample links Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * improve foundry language * Fix A2A Foundry sample regression Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
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Giles Odigwe
|
0e00e5f8dd |
Python: Update Python Packages for rc6 (#4979)
* python package update * small fix |
||
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Eduard van Valkenburg
|
b1b528e4a8 |
Python: [BREAKING] Remove deprecated kwargs compatibility paths (#4858)
* [BREAKING] Remove deprecated kwargs compatibility paths Remove the deprecated kwargs compatibility shims across core agents, clients, tools, middleware, and telemetry. Keep workflow kwargs behavior intact in this branch and follow up separately in #4850. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix PR CI fallout for kwargs removal Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updates * Fix Azure AI CI fallout Remove the stale _get_current_conversation_id override from the Azure AI client after the OpenAI base helper was deleted. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixed new classes * Fix Assistants deprecated import gating Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix integration replay regressions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Switch multi-agent hosting samples to Azure chat completions Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify Azure multi-agent sample config Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
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Eduard van Valkenburg
|
5e056b672e |
Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
* Python: Provider-leading client design & OpenAI package extraction Major refactoring of the Python Agent Framework client architecture: - Extract OpenAI clients into new `agent-framework-openai` package - Core package no longer depends on openai, azure-identity, azure-ai-projects - Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient, OpenAIChatClient → OpenAIChatCompletionClient - Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param - New FoundryChatClient for Azure AI Foundry Responses API - New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents - Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO - Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient - Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/ - ADR-0020: Provider-Leading Client Design Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: missing Agent imports in samples, .model_id → .model in foundry_local sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — mypy errors, coverage targets, sample imports - azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref - Coverage: replace core.azure/openai targets with openai package target - project_provider: add type annotation for opts dict Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: populate openai .pyi stub, fix broken README links, coverage targets Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixes * updated observabilitty * reset azure init.pyi * fix errors * updated adr number * fix foundry local * fixed not renamed docstrings and comments, and added deprecated markers to old classes * fix tests and pyprojects * fix test vars * updated function tests * update durable * updated test setup for functions * Fix Foundry auth in workflow samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize Python integration workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hosting samples for Foundry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger full CI rerun Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun again Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * trigger rerun * trigger rerun * fix for litellm * undo durabletask changes * Move Foundry APIs into foundry namespace Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Foundry pyproject formatting Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split provider samples by Foundry surface Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore hosting sample requirements Also fix the Foundry Local sample link after the provider sample move. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated tests * udpated foundry integration tests * removed dist from azurefunctions tests * Use separate Foundry clients for concurrent agents Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix client setup in azfunc and durable * disabled two tests * updated setup for some function and durable tests * improved azure openai setup with new clients * ignore deprecated * fixes * skip 11 * remove openai assistants int tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
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Evan Mattson
|
26cd5cc1bf |
Python: Bump Python version to 1.0.0rc5 and 1.0.0b260319 for a release. (#4807)
* Bump Python version to 1.0.0rc5 and 1.0.0b260319 for a release. * update missed pkg versions * Update changelog |
||
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Eduard van Valkenburg
|
f48c4512d3 |
Python: Simplify Python Poe tasks and unify package selectors (#4722)
* updated automation tasks and commands, with alias for the time being * Restore aggregate test exclusions Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated versions in pre-commit --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
||
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Eduard van Valkenburg
|
705ed47a0b |
Python: Fix missing methods on the Content class in durable tasks (#4738)
* Fix Content serialization in DurableAgentStateUnknownContent (#4719) DurableAgentStateUnknownContent.from_unknown_content() stored raw Content objects without converting them to dicts, causing json.dumps to fail in Azure Durable Functions' entity state serialization. This affected content types not explicitly handled (e.g., mcp_server_tool_call/result). The fix converts Content objects to dicts via to_dict() when storing in DurableAgentStateUnknownContent, and restores them via Content.from_dict() in to_ai_content(). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add to_json and from_json methods to Content class (#4719) Add to_json() and from_json() methods to the Content class to match the serialization interface provided by SerializationMixin on other model classes. Also fix pre-existing pyright type errors in durabletask's DurableAgentStateUnknownContent.to_ai_content(). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: add type guard, remove to_json, add fallback, and tests - Remove Content.to_json() per reviewer request (comment 3) - Add type guard in Content.from_json() for non-dict JSON (comments 1, 4) - Wrap json.JSONDecodeError as ValueError for consistent exception contract - Add try/except fallback in to_ai_content() for invalid Content dicts (comment 5) - Add test_content_to_dict_exclude_none and test_content_to_dict_exclude_fields (comment 2) - Add test_unknown_content_to_ai_content_fallback_on_invalid_type_dict (comment 5) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply pre-commit auto-fixes * Address review feedback for #4719: review comment fixes * Remove Content.from_json, move logic to consuming code (#4719) Remove the from_json convenience method from Content class per review feedback. This is the same trivial json.loads + from_dict wrapper as to_json which was already removed. Consumers should call json.loads and Content.from_dict directly. Update tests to use Content.from_dict(json.loads(...)) pattern and remove from_json-specific error handling tests (those errors are already covered by json.loads and Content.from_dict). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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50fdcbaf57 |
Python: chore(python): improve dependency range automation (#4343)
* chore(python): improve dependency range automation - tighten dependency bounds and coding standards guidance\n- add dependency range validation workflow, reporting, and issue automation\n- update related tests and dependency pins for compatibility Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated text and pyarrow * new lock * fixed workflow * updated deps * fix tiktoken * chore(python): refine dependency validation workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs(python): add high-level dependency validation comments Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * WIP * added additional comments and excludes * added dev dependency handling and workflow and updates to package ranges * added readme and simplified commands * fix markers * chore(python): address dependency review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Tighten dependency bounds, remove stale overrides, restore Python 3.10 support - Apply dependency bound policy across all packages: stable >=1.0 deps use >=floor,<next_major; pre-1.0/prerelease deps use validated hard-bounded ranges - Remove stale root tool.uv.override-dependencies (uvicorn, websockets, grpcio) - Lower github_copilot requires-python to >=3.10 with github-copilot-sdk gated behind python_version >= 3.11 marker; import raises ImportError on 3.10 - Skip github_copilot pyright/mypy/test tasks on Python <3.11 - Use version-conditional pyrightconfig for samples on Python 3.10 - Add compatibility fix in core responses client for older openai typed dicts - Normalize uv.lock prerelease mode and refresh dev dependencies - Update CODING_STANDARD.md, DEV_SETUP.md, and package management skill docs Closes #902 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * small tweaks * add note in workflow * fix workflows and several versions * fix duplicate --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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a4b9539b62 |
[BREAKING] Python: clean up kwargs across agents, chat clients, tools, and sessions (#4581)
* Python: clean up kwargs across agents, chat clients, tools, and sessions (#3642) Audit and refactor public **kwargs usage across core agents, chat clients, tools, sessions, and provider packages per the migration strategy codified in CODING_STANDARD.md. Key changes: - Add explicit runtime buckets: function_invocation_kwargs and client_kwargs on RawAgent.run() and chat client get_response() layers. - Refactor FunctionTool to prefer explicit ctx: FunctionInvocationContext injection; legacy **kwargs tools still work via _forward_runtime_kwargs. - Refactor Agent.as_tool() to use direct JSON schema, always-streaming wrapper, approval_mode parameter, and UserInputRequiredException propagation (integrates PR #4568 behavior). - Remove implicit session bleeding into FunctionInvocationContext; tools that need a session must receive it via function_invocation_kwargs. - Lower chat-client layers after FunctionInvocationLayer accept only compatibility **kwargs (client_kwargs flattened, function_invocation_kwargs ignored). - Add layered docstring composition from Raw... implementations via _docstrings.py helper. - Clean up provider constructors to use explicit additional_properties. - Deprecation warnings on legacy direct kwargs paths. - Update samples, tests, and typing across all 23 packages. Resolves #3642 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * clarified docstring * feedback fixes * Add unit tests for _docstrings.py build/apply helpers Tests cover: no docstring source, no extra kwargs, appending to existing Keyword Args section, inserting after Args, inserting in plain docstrings, multiline descriptions, ordering, and apply_layered_docstring. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add test for propagate_session TypeError on non-AgentSession values Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add tests for multi-content and empty UserInputRequiredException propagation Cover the branching logic in _try_execute_function_calls for: - Multiple user_input_request items in a single exception (extra_user_input_contents path) - Empty contents list (fallback function_result path) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add tests for DurableAIAgent.get_session forwarding service_session_id Verifies get_session correctly forwards service_session_id and session_id to the executor's get_new_session, replacing the removed kwargs test. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify ag-ui test stub to read session from client_kwargs only Remove dual-mode detection (client_kwargs vs raw kwargs fallback) from the test mock. Session is now read exclusively from client_kwargs, matching the settled public calling convention. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated create and get sessions in durable * fixed docstrings * fix test * updated session handling * updated from main * updated tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Dmytro Struk
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53b0753dfb | Prepare RC4 release (#4631) | ||
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Eduard van Valkenburg
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55ddd841b7 |
Python: Fix Python pyright package scoping and typing remediation (#4426)
* Fix Python pyright package scoping and typing remediation Implements issue #4407 by removing the root pyright include, adding package-level pyright includes, and resolving pyright/mypy typing issues across Python packages. Also cleans unnecessary casts and applies line-level, rule-specific ignores where external libraries are too dynamic. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reduce pyright cost in handoff cloning Simplify cloned_options construction in HandoffAgentExecutor to avoid expensive TypedDict narrowing/inference in _handoff.py, which was causing pyright to spend a long time in orchestrations. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix types * Fix lint and type-check regressions Resolve current Python package check failures across lint, pyright, and mypy after recent code changes, including purview/declarative pyright issues and multiple ruff simplification findings. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixed hooks * Stabilize package tests and test tasks Resolve cross-package non-integration test failures, simplify streaming type flow, harden locale/culture handling, and standardize package test poe tasks to exclude integration tests where applicable. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * lots of small fixes * Fix current Python test regressions Address current failing unit tests in azure-ai, bedrock, and azure-cosmos while keeping Bedrock parsing logic inline (no new static helper methods). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * small fixes * small fixes * removed pydantic from json * final updates * fix core * fix tests * fix obser --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Dmytro Struk
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965a1ec103 | Updated package versions (#4470) | ||
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Dmytro Struk
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7d56a5a4d6 |
Update Python package versions to rc2 (#4258)
- Bump core and azure-ai to 1.0.0rc2 - Bump preview packages to 1.0.0b260225 - Update dependencies to >=1.0.0rc2 - Add CHANGELOG entries for changes since rc1 - Update uv.lock Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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6138487888 |
Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207)
* Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference Add embedding client implementations to existing provider packages: - OllamaEmbeddingClient: Text embeddings via Ollama's embed API - BedrockEmbeddingClient: Text embeddings via Amazon Titan on Bedrock - AzureAIInferenceEmbeddingClient: Text and image embeddings via Azure AI Inference, supporting Content | str input with separate model IDs for text (AZURE_AI_INFERENCE_EMBEDDING_MODEL_ID) and image (AZURE_AI_INFERENCE_IMAGE_EMBEDDING_MODEL_ID) endpoints Additional changes: - Rename EmbeddingCoT -> EmbeddingT, EmbeddingOptionsCoT -> EmbeddingOptionsT - Add otel_provider_name passthrough to all embedding clients - Register integration pytest marker in all packages - Add lazy-loading namespace exports for Ollama and Bedrock embeddings - Add image embedding sample using Cohere-embed-v3-english - Add azure-ai-inference dependency to azure-ai package Part of #1188 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix mypy duplicate name and ruff lint issues - Rename second 'vector' variable to 'img_vector' in image embedding loop - Combine nested with statements in tests - Remove unused result assignments in tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updates from feedback * Fix CI failures in embedding usage handling - Fix Azure AI embedding mypy issues by normalizing vectors to list[float], safely accumulating optional usage token fields, and filtering None entries before constructing GeneratedEmbeddings - Avoid Bandit false positive by initializing usage details as an empty dict - Update OpenAI embedding tests to assert canonical usage keys (input_token_count/total_token_count) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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acc49196c1 |
Python: updated integration tests and guidance (#4181)
* updated integration tests and guidance * fixed merge test * updated integration tests * fix: remove duplicate --dist loadfile flag from pytest-xdist config Only one --dist mode can be active at a time; the second value silently overrides the first. Keep --dist worksteal (dynamic load balancing) and remove the redundant --dist loadfile from all workflow files and pyproject.toml configs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * docs: add keep-in-sync notes for merge and integration test workflows Both python-merge-tests.yml and python-integration-tests.yml share the same parallel job structure. Added sync reminders in workflow file comments, the python-testing SKILL.md, and CODING_STANDARD.md. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * refactor: remove RUN_INTEGRATION_TESTS flag Integration test gating now uses two mechanisms: - `@pytest.mark.integration` for test selection via `-m` filtering - `skip_if_*_disabled` for credential/service availability checks The RUN_INTEGRATION_TESTS env var was redundant since the marker handles selection and the skip decorators already check for actual credentials. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: sync missing env vars from merge-tests to integration-tests Add OPENAI_EMBEDDINGS_MODEL_ID and AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME to python-integration-tests.yml to match python-merge-tests.yml. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: remove remaining RUN_INTEGRATION_TESTS from embedding tests and docs Missed test_openai_embedding_client.py and vector-stores README in the earlier cleanup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * set functions tests to 3.10 --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> |
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Dmytro Struk
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4c8f595019 |
Python: Updated package versions for RC release (#4068)
* Updated package versions for RC release * Update python/packages/redis/pyproject.toml Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Small fix --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> |
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Eduard van Valkenburg
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dc9439a75a |
Python: [BREAKING] Fix #3613 chat/agent message typing alignment (#3920)
* Fix #3613 message typing across chat and agents * Address #3613 review feedback and sample input style * refactor: use shared AgentRunMessages aliases (#3613) * refactor: rename agent run input aliases for #3613 * samples: inline image content in run calls * core: export AgentRunInputs from package init * core: use explicit init re-exports without __all__ * updated logging and inits * Fix core mypy export and samples XML note * Remove AgentRunInputsOrNone and dedupe loggers * Remove prepare_messages helper * fix integration tests |
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Giles Odigwe
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65e77e52af |
update package versions (#3902)
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> |
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Evan Mattson
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a276c1295a |
Python: Fix streamed workflow agent continuation context by finalizing AgentExecutor streams (#3882)
* Fix streamed workflow agent continuation context by finalizing AgentExecutor streams * Fix stream handling * Fixes * Fix DevUI and tests |