fix: modernize OpenAI and LangChain support for GPT-5.1 by ranadeepsingh · Pull Request #2572 · microsoft/SynapseML

ranadeepsingh · 2026-07-24T12:53:07Z

Summary

Modernize SynapseML's Azure OpenAI tests, examples, packages, and LangChain integration for gpt-5.1 and gpt-5-mini on the synapseml-openai-3 resource. Remove OpenAI SDK 0.x compatibility, use current Azure OpenAI v1 APIs, and update release compatibility coverage to Spark 3.5 and Spark 4.1.

Why

The previous coverage depended on old deployments, SDKs, and request behavior that is incompatible with current GPT-5 reasoning models:

Reasoning models reject explicit temperature and top_p.
Deprecated clients and token parameters no longer represent supported APIs.
Small completion budgets can be consumed by reasoning tokens and return no visible content.
Responses API output can contain reasoning items before the final message.
Modern OpenAI clients contain non-picklable HTTP transport state and cannot be safely reconstructed on Spark workers without changing authentication or transport semantics.

What changed

Replaced older live-test deployments with gpt-5.1 or gpt-5-mini.
Switched shared tests and examples to synapseml-openai-3 / openai-api-key-3.
Removed reasoning-incompatible sampling parameters and migrated to max_completion_tokens / max_output_tokens.
Migrated examples to Azure OpenAI v1 endpoints and current OpenAI/LangChain clients.
Removed explicit openai<1.0 exception handling, legacy openai.api_* global configuration, and legacy LangChain chain-loading fallback.
Updated LangchainTransformer to support Spark-picklable Runnables, normalize modern LangChain string outputs, capture current OpenAIError exceptions, and fail clearly when a chain captures a non-picklable OpenAI client.
Updated the LangChain notebook to use LangChain batching on the driver; distributed network inference should use SynapseML's native OpenAI transformers.
Upgraded active Databricks OpenAI/LangChain dependencies.
Updated pipeline.yaml triggers and release compatibility checks to support only Spark 3.5/JDK 11 and Spark 4.1/JDK 17.
Updated Responses API extraction to select the final message instead of assuming the first output item contains text.
Reset mutable OpenAI defaults between tests to prevent cross-test state leakage.

Validation

sbt "core/Test/compile" scalastyle test:scalastyle
sbt cognitive/Test/compile
OpenAIDefaultsSuite and OpenAIV1EndpointSuite
Targeted Chat Completions, Responses, and OpenAIPrompt tests
Offline Spark tests for Runnable execution, modern OpenAI error handling, persistence, and non-picklable client rejection
black --check --extend-exclude 'docs/' .
Notebook JSON and Python syntax validation
Pipeline YAML and Spark/JDK matrix validation
Final staged code review

Dependency changes

langchain: 0.0.152 -> 1.3.14
openai: 0.27.5 -> 2.47.0
Added langchain-classic==1.0.8
Added langchain-community==0.4.2
Added langchain-openai==1.4.0

Compatibility notes

OpenAI SDK versions below 1.0 are no longer supported.
LangchainTransformer no longer configures OpenAI through module-global state.
Captured OpenAI clients that are not Spark-picklable are rejected before execution rather than reconstructed with incomplete settings.
Release branch compatibility coverage is limited to Spark 3.5 and Spark 4.1.

## Summary Move Azure OpenAI tests and examples to synapseml-openai-3 with GPT-5.1 and GPT-5-mini deployments. Modernize OpenAI and LangChain dependencies, Azure v1 endpoint usage, reasoning token parameters, Runnable pipelines, and Responses API output handling. ## Prompting Intent The engineer asked to eliminate test coverage on models older than GPT-5.1, allow GPT-5-mini for smaller-model scenarios, remove temperature and top_p from reasoning-model requests, use the synapseml-openai-3 resource, modernize deprecated clients and parameters, and fix the failures motivating the migration. ## Linked Sources - Azure OpenAI API lifecycle: https://learn.microsoft.com/azure/ai-foundry/openai/api-version-lifecycle - OpenAI reasoning guide: https://platform.openai.com/docs/guides/reasoning - LangChain OpenAI integration: https://docs.langchain.com/oss/python/integrations/chat/openai - Internal incident references supplied by the engineer are intentionally omitted from public history. ## Rationale Use GPT-5.1 for full-model validation and GPT-5-mini where the prior test targeted a smaller model. Omit sampling controls because reasoning models reject them, while using low reasoning effort and larger completion budgets to avoid empty visible output. Keep explicit legacy serialization tests so backward-compatibility behavior remains covered while live examples use current OpenAI v1 and LangChain Runnable APIs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: dda7be17-25f0-41e2-bdeb-2f3f3c02438b

azure-pipelines · 2026-07-24T12:53:17Z

Azure Pipelines: There may be pipelines that require an authorized user to comment /azp run to run.

github-actions · 2026-07-24T12:53:28Z

Hey @ranadeepsingh 👋!
Thank you so much for contributing to our repository 🙌.
Someone from SynapseML Team will be reviewing this pull request soon.

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ranadeepsingh · 2026-07-24T12:53:30Z

/azp run

azure-pipelines · 2026-07-24T12:53:41Z

Azure Pipelines: No pipelines were found matching this branch/path.

Copilot

Pull request overview

This PR migrates SynapseML’s Azure OpenAI examples and test suites to the synapseml-openai-3 resource, updating model coverage to GPT‑5.1 / GPT‑5‑mini and modernizing OpenAI + LangChain usage (OpenAI v1 endpoints, reasoning token parameters, and Runnable pipelines).

Changes:

Updated Python dependencies to OpenAI SDK v2 and modern LangChain packages (incl. langchain-openai, langchain-community, and langchain-classic).
Migrated notebooks to GPT‑5.1 / GPT‑5‑mini deployments, OpenAI v1 endpoint patterns, and reasoning-model parameter conventions (max_completion_tokens, reasoning_effort).
Updated Scala/Python OpenAI and LangChain tests to remove unsupported sampling params for reasoning models and align expected payloads/output handling.

Show a summary per file

File	Description
environment.yml	Updates OpenAI + LangChain dependency versions to the new stack.
docs/Explore Algorithms/OpenAI/Quickstart - Understand and Search Forms.ipynb	Moves to OpenAI SDK v2 client + v1 endpoint style; updates reasoning token parameters.
docs/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding.ipynb	Switches resource/key to `synapseml-openai-3`.
docs/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding and GPU based KNN.ipynb	Switches resource/key to `synapseml-openai-3`.
docs/Explore Algorithms/OpenAI/Quickstart - Multimodal OpenAI Prompter with Responses API.ipynb	Updates deployment to `gpt-5.1` and new secret/resource.
docs/Explore Algorithms/OpenAI/OpenAI.ipynb	Updates deployments, removes sampling defaults for reasoning models, and modernizes Responses output extraction.
docs/Explore Algorithms/OpenAI/Langchain.ipynb	Migrates to LangChain Runnable pipelines + `ChatOpenAI` and updates endpoint/key usage.
docs/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.ipynb	Updates LangChain imports and AOAI config to GPT‑5.1 + v1 endpoint base URL.
core/src/test/scala/com/microsoft/azure/synapse/ml/Secrets.scala	Updates the OpenAI test secret name to `openai-api-key-3`.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIV1EndpointSuite.scala	Updates expected request URL/model mapping tests to GPT‑5.1.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIResponsesSuite.scala	Removes temperature usage and updates model strings/output expectations.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIPromptSuite.scala	Removes temperature usage and updates prompt text/headers/tests to GPT‑5.x naming.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIPromptResponsesSuite.scala	Switches live Responses tests to GPT‑5.1 and GPT‑5‑mini.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIEmbeddingsSuite.scala	Updates default non-embedding deployment used in defaults test to GPT‑5‑mini.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIDefaultsSuite.scala	Adds per-test default resets and updates globals usage for reasoning models.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIChatCompletionSuite.scala	Removes temperature usage and retargets reasoning/sampling behavior tests to new deployments.
cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAIAPIKey.scala	Updates env var names and standard test deployment names to GPT‑5.1 / GPT‑5‑mini.
cognitive/src/test/python/synapsemltest/services/openai/test_StructuredOutput.py	Updates secret/resource/deployment and resets unsupported sampling defaults.
cognitive/src/test/python/synapsemltest/services/openai/test_OpenAIDefaults.py	Updates secret/resource/deployment and adds teardown resets for defaults.
cognitive/src/test/python/synapsemltest/services/langchain/test_LangchainTransform.py	Migrates tests to Runnable pipelines + `ChatOpenAI` with reasoning token parameters.
cognitive/src/main/python/synapse/ml/services/langchain/LangchainTransform.py	Updates serialization to `langchain-core` dumps/loads and supports Runnable `invoke()` with result normalization.

Review details

Comments suppressed due to low confidence (1)

cognitive/src/main/python/synapse/ml/services/langchain/LangchainTransform.py:267

The OpenAI <1.0 Azure configuration path no longer sets openai.api_type = "azure". For legacy openai SDK versions, omitting api_type can cause requests to be routed as non-Azure (or otherwise misconfigured), breaking existing LangchainTransformer usage when users rely on the transformer's subscriptionKey/url/apiVersion wiring.

            else:
                if self.isSet(self.subscriptionKey):
                    openai.api_key = self.getSubscriptionKey()
                if self.isSet(self.url):
                    openai.api_base = self.getUrl()

Files reviewed: 21/21 changed files
Comments generated: 1
Review effort level: Low

ranadeepsingh · 2026-07-24T13:22:36Z

/azp run

azure-pipelines · 2026-07-24T13:22:46Z

Azure Pipelines: No pipelines were found matching this branch/path.

AB#5467643 ## Summary Remove OpenAI SDK 0.x compatibility and module-global client configuration, upgrade active Databricks LangChain dependencies, and make LangchainTransformer reject non-picklable network clients before Spark execution. Update the LangChain notebook to use current batching APIs and limit release compatibility coverage to Spark 3.5 and Spark 4.1. ## Prompting Intent The engineer asked to modernize SynapseML OpenAI tests and examples for GPT-5.1 or GPT-5-mini, remove support for openai<1.0, avoid deprecated APIs and reasoning-incompatible parameters, and update CI to support only Spark 3.5 and Spark 4.1. The engineer also required clean code review and validation before committing and pushing the changes. ## Linked Sources - Tracking bug: https://dev.azure.com/msdata/A365/_workitems/edit/5467643 - Pull request: microsoft#2572 ## Rationale Modern OpenAI clients contain non-picklable HTTP transport state. Rebuilding clients on workers from partial manifests changed authentication, transport, streaming, and rate-limiting behavior, so the transformer now preserves semantics by accepting only genuinely Spark-picklable Runnables and failing clearly otherwise. LangChain batching or SynapseML native OpenAI transformers remain the safe choices for network inference. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: dda7be17-25f0-41e2-bdeb-2f3f3c02438b

AB#5467643 ## Summary Bring the latest upstream master changes, including the restored Azure pipeline and Databricks test infrastructure, into the branch for PR microsoft#2572 while preserving its OpenAI and LangChain modernization changes. ## Prompting Intent The engineer asked to fetch the latest changes from master and apply them to the published PR branch so PR microsoft#2572 is current with its base branch. ## Linked Sources - Pull request: microsoft#2572 - Upstream pipeline fix: microsoft#2573 - Tracking bug: https://dev.azure.com/msdata/A365/_workitems/edit/5467643 ## Rationale Merged upstream master rather than rebasing because the branch is already published and used by an open pull request. This avoids rewriting shared history while retaining the Spark 3.5 and Spark 4.1 compatibility matrix and the modern OpenAI and LangChain dependency pins. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: dda7be17-25f0-41e2-bdeb-2f3f3c02438b

ranadeepsingh · 2026-07-27T19:20:59Z

/azp run

azure-pipelines · 2026-07-27T19:21:10Z

Azure Pipelines: Successfully started running 1 pipeline(s).

codecov-commenter · 2026-07-27T19:35:43Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.79%. Comparing base (b350135) to head (7346287).

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2572      +/-   ##
==========================================
+ Coverage   84.75%   84.79%   +0.03%     
==========================================
  Files         334      334              
  Lines       17801    17801              
  Branches     1619     1619              
==========================================
+ Hits        15088    15094       +6     
+ Misses       2713     2707       -6

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## Summary Reject LangChain runnables that serialize to unloadable not-implemented stubs, fix Responses API text extraction in the OpenAI notebook, and format the LangChain notebook for the Azure Style check. ## Prompting Intent Review PR 2572 file by file with multiple independent reviewers, fix concrete regression risks, diagnose the failing microsoft.SynapseML Style job, and keep the Azure pipeline running until the updated branch is healthy. ## Linked Sources - Pull request: microsoft#2572 - Azure Style build: https://msdata.visualstudio.com/b9b2accc-2d1c-45b3-9d24-0eb5d78cc47f/_build/results?buildId=228488456 ## Rationale Detecting langchain-core's not-implemented markers before writing metadata prevents artifacts that save successfully but cannot be loaded. The notebook expression now follows the response schema and the library's own extraction logic instead of depending on a nonexistent output-item field. Notebook-only formatting is kept to Black 22.3.0's output so local and Azure style checks agree. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

ranadeepsingh · 2026-07-27T20:00:59Z

/azp run

azure-pipelines · 2026-07-27T20:01:11Z

Azure Pipelines: Successfully started running 1 pipeline(s).

## Summary Convert LangChain batch results to plain Python strings before creating Spark DataFrames in the LangChain notebook. ## Prompting Intent Continue the file-by-file PR 2572 review, diagnose failures from repeated Azure pipeline runs, and fix only confirmed regressions until the pipeline is green. ## Linked Sources - Pull request: microsoft#2572 - Failed Azure build: https://msdata.visualstudio.com/b9b2accc-2d1c-45b3-9d24-0eb5d78cc47f/_build/results?buildId=228492786 - Failed Databricks job: https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/739517431283627/run/130481332244171 ## Rationale LangChain 1.x returns TextAccessor values from StrOutputParser. Although they behave like strings, PySpark cannot infer their schema. Converting at the notebook boundary preserves displayed content while producing supported Spark StringType values for both example DataFrames. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

ranadeepsingh · 2026-07-27T20:39:23Z

/azp run

azure-pipelines · 2026-07-27T20:39:35Z

Azure Pipelines: Successfully started running 1 pipeline(s).

## Summary Pin the LangChain notebook to the same unstructured version used by the Databricks test cluster. ## Prompting Intent Continue reviewing PR 2572 file by file, diagnose each Azure pipeline failure, and make only necessary regression fixes until the branch pipeline is green. ## Linked Sources - Pull request: microsoft#2572 - Failed Azure build: https://msdata.visualstudio.com/b9b2accc-2d1c-45b3-9d24-0eb5d78cc47f/_build/results?buildId=228498245 - Failed Databricks run: https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/454662474064029/run/561429143528719 ## Rationale The notebook's unpinned upgrade replaced the cluster's tested unstructured==0.10.24 installation with a newer release that imports pi_heif, which is not installed. Reusing the existing cluster pin avoids an unnecessary dependency and keeps notebook and CI environments consistent. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

ranadeepsingh · 2026-07-27T21:12:23Z

/azp run

azure-pipelines · 2026-07-27T21:12:34Z

Azure Pipelines: Successfully started running 1 pipeline(s).

## Summary Pin NLTK 3.8.1 in the LangChain notebook so unstructured 0.10.24 can tokenize PDF text without the newer punkt_tab resource. ## Prompting Intent Continue reviewing PR 2572 file by file, diagnose each Azure pipeline failure, and make only necessary regression fixes until the branch pipeline is green. ## Linked Sources - Pull request: microsoft#2572 - Failed Azure build: https://msdata.visualstudio.com/b9b2accc-2d1c-45b3-9d24-0eb5d78cc47f/_build/results?buildId=228502637 - Failed Databricks run: https://adb-1885762835647850.10.azuredatabricks.net/?o=1885762835647850#job/994359116237647/run/718696557480018 ## Rationale The PR removed the notebook base version's existing nltk==3.8.1 pin. Current NLTK requests punkt_tab, while unstructured==0.10.24 only provisions the older punkt resource. Restoring the prior compatible pin is narrower and more reproducible than adding runtime downloader side effects. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

ranadeepsingh · 2026-07-27T21:46:02Z

/azp run

azure-pipelines · 2026-07-27T21:46:13Z

Azure Pipelines: Successfully started running 1 pipeline(s).

## Summary Pin NumPy 1.26.4 in environment.yml so the upgraded LangChain dependency set remains binary-compatible with pandas 2.0.3 and PyArrow 10. ## Prompting Intent Continue reviewing PR 2572 file by file, diagnose each Azure pipeline failure, and make only necessary regression fixes until the branch pipeline is green. ## Linked Sources - Pull request: microsoft#2572 - Failed Azure build: https://msdata.visualstudio.com/b9b2accc-2d1c-45b3-9d24-0eb5d78cc47f/_build/results?buildId=228507594 - OpenCV Python failure: Azure job f3f808a3-a9f8-5179-a4b0-94b8425d1004 - VW Python failure: Azure job 1308dffb-2cf2-56a1-9668-a2c9f65e760f ## Rationale The previous LangChain package constrained NumPy below 2 indirectly. After the upgrade, pip selected NumPy 2.4.6 alongside pandas 2.0.3, causing binary incompatibility during test collection. An explicit NumPy 1.26.4 pin restores deterministic resolution, satisfies the new LangChain requirements, and matches the existing Databricks test environment. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

ranadeepsingh · 2026-07-27T22:24:39Z

/azp run

azure-pipelines · 2026-07-27T22:24:50Z

Azure Pipelines: Successfully started running 1 pipeline(s).

## Summary Update the live Responses API test to validate the final extracted message text rather than requiring every output item, including GPT-5 reasoning entries, to contain text. Use low reasoning effort for predictable test cost and latency. ## Prompting Intent Continue reviewing PR 2572 file by file, diagnose each Azure pipeline failure, and make only necessary regression fixes until the branch pipeline is green. ## Linked Sources - Pull request: microsoft#2572 - Failed Azure build: https://msdata.visualstudio.com/b9b2accc-2d1c-45b3-9d24-0eb5d78cc47f/_build/results?buildId=228511571 - Failed Azure job: UnitTests openai, job 30886130-6c10-51cc-2b7c-fdfe28a165e1 ## Rationale GPT-5 Responses legitimately include a leading reasoning output item with no user-visible text. The production extraction path selects the final message item, so the test should validate that same contract instead of treating reasoning metadata as an empty answer. Low reasoning effort reduces unnecessary token use without weakening the output assertion. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

ranadeepsingh · 2026-07-27T23:06:34Z

/azp run

azure-pipelines · 2026-07-27T23:06:45Z

Azure Pipelines: Successfully started running 1 pipeline(s).

ranadeepsingh · 2026-07-27T23:53:45Z

/azp run

azure-pipelines · 2026-07-27T23:53:54Z

Azure Pipelines: Successfully started running 1 pipeline(s).

Copilot

Review details

Comments suppressed due to low confidence (2)

cognitive/src/test/python/synapsemltest/services/openai/test_OpenAIDefaults.py:32

tearDown() resets several OpenAIDefaults fields, but it does not reset newer mutable defaults (verbosity, reasoning_effort, api_type). Since these defaults are JVM-global and shared across tests, leaving them set can cause cross-test state leakage (the PR description mentions preventing this).

    def tearDown(self):
        defaults = OpenAIDefaults()
        defaults.reset_deployment_name()
        defaults.reset_subscription_key()
        defaults.reset_temperature()

cognitive/src/test/python/synapsemltest/services/openai/test_StructuredOutput.py:67

setUpClass() resets model/sampling defaults, but it does not reset newer global OpenAIDefaults fields (verbosity, reasoning_effort, api_type). Because OpenAIDefaults are shared across tests, a prior test that sets these fields can leak into this suite and change request behavior.

        defaults = OpenAIDefaults()
        defaults.reset_model()
        defaults.reset_temperature()
        defaults.reset_top_p()
        defaults.reset_seed()

Files reviewed: 23/23 changed files
Comments generated: 1
Review effort level: Low

+    "from openai import OpenAI\n",
    "\n",
-    "openai.api_type = \"azure\"\n",
-    "openai.api_base = openai_url\n",
-    "openai.api_key = openai_key\n",
-    "openai.api_version = \"2023-03-15-preview\"\n",
+    "openai_client = OpenAI(\n",
+    "    api_key=openai_key,\n",
+    "    base_url=f\"{openai_url.rstrip('/')}/openai/v1/\",\n",
+    ")\n",


Copilot AI review requested due to automatic review settings July 24, 2026 12:53

Copilot started reviewing on behalf of ranadeepsingh July 24, 2026 12:53 View session

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Comment thread cognitive/src/main/python/synapse/ml/services/langchain/LangchainTransform.py

ranadeepsingh changed the title ~~test: migrate OpenAI tests and examples to GPT-5.1~~ test: migrate Azure OpenAI tests to GPT-5.1 and GPT-5-mini Jul 24, 2026

ranadeepsingh mentioned this pull request Jul 24, 2026

fix: restore SynapseML Azure pipeline #2573

Merged

ranadeepsingh changed the title ~~test: migrate Azure OpenAI tests to GPT-5.1 and GPT-5-mini~~ fix: modernize OpenAI and LangChain support for GPT-5.1 Jul 24, 2026

ranadeepsingh requested a review from Copilot July 28, 2026 03:41

Copilot started reviewing on behalf of ranadeepsingh July 28, 2026 03:42 View session

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