Howie/release test from vnext

eng/emitter-package.json

@@ -24,4 +24,4 @@
     "@azure-tools/typespec-liftr-base": "0.13.0",
     "@azure-tools/openai-typespec": "1.23.0"
   }
-}
+}

sdk/ai/azure-ai-projects/CHANGELOG.md

@@ -1,5 +1,48 @@
 # Release History
 
+## 2.5.0 (Unreleased)
+
+### Features Added
+
+* Added stable Agent-to-Agent (A2A) tools `A2ATool` and `A2AToolboxTool`, with the new `A2AProtocolVersion` enum for selecting protocol version `1.0`.
+* Method `.beta.agents.begin_create_optimization_job` now returns a custom LRO poller named `AgentOptimizationLROPoller`. Its `details` property exposes the created job ID as `job_id`.
+* Method `.beta.datasets.begin_create_generation_job` now returns a custom LRO poller named `DatasetGenerationLROPoller`. Its `details` property exposes the created job ID as `job_id`.
+* Method `.beta.evaluators.begin_create_generation_job` now returns a custom LRO poller named `EvaluatorGenerationLROPoller`. Its `details` property exposes the created job ID as `job_id`.
+* Added the optional read-only `state_source` property to `AgentDetails` and the new `AgentStateSource` enum.
+
+### Breaking Changes
+
+All breaking changes are associated with beta features.
+
+* Renamed class `TaskGenerationDataGenerationJobOptions` to `SimulationSeedDataGenerationJobOptions`. The corresponding `DataGenerationJobType.TASK_GENERATION` enum member was renamed to `DataGenerationJobType.SIMULATION_SEED`, and its wire value changed from `task_generation` to `simulation_seed`.
+* Renamed enum `OptimizationDatasetInputType` to `AgentOptimizationDatasetInputType`.
+* Renamed class `OptimizationAgentIdentifier` to `OptimizedAgentIdentifier`.
+* Renamed class `OptimizationCandidate` to `AgentOptimizationCandidate`.
+* Renamed class `OptimizationDatasetCriterion` to `AgentOptimizationDatasetCriterion`.
+* Renamed class `OptimizationDatasetInput` to `AgentOptimizationDatasetInput`.
+* Renamed class `OptimizationDatasetItem` to `AgentOptimizationDatasetItem`.
+* Renamed class `OptimizationEvaluatorRef` to `AgentOptimizationEvaluatorRef`.
+* Renamed class `OptimizationInlineDatasetInput` to `AgentOptimizationInlineDatasetInput`.
+* Renamed class `OptimizationJob` to `AgentOptimizationJob`.
+* Renamed class `OptimizationJobInputs` to `AgentOptimizationJobInputs`.
+* Renamed class `OptimizationJobListItem` to `AgentOptimizationJobListItem`.
+* Renamed class `OptimizationJobProgress` to `AgentOptimizationJobProgress`.
+* Renamed class `OptimizationJobResult` to `AgentOptimizationJobResult`.
+* Renamed class `OptimizationOptions` to `AgentOptimizationOptions`.
+* Renamed class `OptimizationReferenceDatasetInput` to `AgentOptimizationReferenceDatasetInput`.
+
+### Sample updates
+
+* Added `sample_dataset_generation_job_simpleqna_for_finetuning_async.py` under `samples/datasets/`, demonstrating asynchronous generation of a SimpleQnA dataset for fine-tuning.
+* Added `sample_dataset_generation_job_simpleqna_for_finetuning_with_app_polling.py` under `samples/datasets/`, demonstrating application-managed polling for a SimpleQnA fine-tuning data generation job.
+* Added logging samples under `samples/logs/`:
+  * `sample_log_all.py` demonstrating combined logging for Azure SDK and `.get_openai_client()` operations.
+  * `sample_log_from_openai_client.py` demonstrating logging for an OpenAI client created from `.get_openai_client()`.
+  * `sample_log_from_sdk.py` demonstrating logging for Azure AI Projects SDK client operations.
+  * `sample_log_to_console.py` demonstrating console logging configuration.
+  * `sample_log_with_logging_disabled.py` demonstrating redacted logging behavior when `logging_enable` is not enabled.
+* Renamed optimization polling samples `sample_optimization_job_basic_polling.py` and `sample_optimization_job_basic_polling_async.py` to `sample_optimization_job_advanced_app_polling.py` and `sample_optimization_job_advanced_app_polling_async.py`.
+
 ## 2.4.0 (2026-07-24)
 
 ### Features Added

sdk/ai/azure-ai-projects/PostEmitter.ps1

@@ -86,81 +86,6 @@ foreach ($f in $files) {
     Set-Content $f $c -NoNewline
 }
 
-# A block of code in the implementation of "list_memories", in both sync 
-# and async _operations.py files, needs to be moved up. It's emitted in the wrong place,
-# in the inline function named "prepare_request". Instead it should be moved up into the
-# main body of the "list_memories" method, right after the line `error_map.update(kwargs.pop("error_map", {}) or {})`.
-# If you don't do this, the PR pipeline will show failures in Pyright (`error: "body" is unbound (reportUnboundVariable)`)
-# and some tests will fail. This is the block of code that needs to move up:
-#            if body is _Unset:
-#                if scope is _Unset:
-#                    raise TypeError("missing required argument: scope")
-#                body = {"scope": scope}
-#                body = {k: v for k, v in body.items() if v is not None}
-# The block inside prepare_request has 12-space indentation; after moving to the main function body it needs 8-space indentation.
-# Strategy: Find the last list_memories method, then do a targeted string replacement that moves the block right after error_map.update.
-$oldPattern = @"
-        error_map.update(kwargs.pop("error_map", {}) or {})
-        content_type = content_type or "application/json"
-        _content = None
-        if isinstance(body, (IOBase, bytes)):
-            _content = body
-        else:
-            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
-
-        def prepare_request(_continuation_token=None):
-            if body is _Unset:
-                if scope is _Unset:
-                    raise TypeError("missing required argument: scope")
-                body = {"scope": scope}
-                body = {k: v for k, v in body.items() if v is not None}
-
-            _request = build_beta_memory_stores_list_memories_request(
-"@
-$newPattern = @"
-        error_map.update(kwargs.pop("error_map", {}) or {})
-        if body is _Unset:
-            if scope is _Unset:
-                raise TypeError("missing required argument: scope")
-            body = {"scope": scope}
-            body = {k: v for k, v in body.items() if v is not None}
-        content_type = content_type or "application/json"
-        _content = None
-        if isinstance(body, (IOBase, bytes)):
-            _content = body
-        else:
-            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
-
-        def prepare_request(_continuation_token=None):
-            _request = build_beta_memory_stores_list_memories_request(
-"@
-$files = 'azure\ai\projects\operations\_operations.py', 'azure\ai\projects\aio\operations\_operations.py'
-foreach ($f in $files) {
-    $c = Get-Content $f -Raw
-    # Find all occurrences of "def list_memories(" and get the index of the last one
-    $methodMatches = [regex]::Matches($c, 'def list_memories\(')
-    if ($methodMatches.Count -eq 0) { continue }
-    $lastMethodStart = $methodMatches[$methodMatches.Count - 1].Index
-
-    # Find the pattern to replace - first occurrence after the last list_memories method
-    $patternEscaped = [regex]::Escape($oldPattern)
-    $patternMatches = [regex]::Matches($c, $patternEscaped)
-    $matchToReplace = $null
-    foreach ($m in $patternMatches) {
-        if ($m.Index -gt $lastMethodStart) {
-            $matchToReplace = $m
-            break
-        }
-    }
-    if ($matchToReplace -eq $null) { continue }
-
-    # Replace only that specific occurrence
-    $c = $c.Substring(0, $matchToReplace.Index) + $newPattern + $c.Substring($matchToReplace.Index + $matchToReplace.Length)
-
-    Set-Content $f $c -NoNewline
-}
-
-
 # Finishing by running 'black' tool to format code. 
 pip install black
 black --config ../../../eng/black-pyproject.toml .