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Releases: microsoft/semantic-kernel

dotnet-1.42.0

18 Mar 19:24
@markwallace-microsoft markwallace-microsoft
dotnet-1.42.0
842fa49
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dotnet-1.42.0

Changes:

  • 842fa49 .Net: Version 1.42.0 (#11050)
  • fb61cbc .Net: Processes UTs causing Build pipeline errors (#11008) [ #11019 ]
  • d2f8ff6 .Net: Switch postgres and sqlserver to preview, and move experimental to only memory store artifacts. (#10974)
  • f34bcf5 .Net MEVD: SqlServerVectorStore should accept a connection string to be thread safe (#11042)
  • ea00f4f .Net: Sync to MEAI 9.3.0-preview.1.25114.11 (#10989)
  • a01a31b .Net MEVD: Unify collection deletion and creation (#10958) [ #10882 ]
  • 66f4cce .Net: Add functionality to create and import plugins with YAML functions (#10840)
  • a0dce99 Added Feature to pass document to Mistral AI's CHAT Models (#10921)
  • bf8a773 .Net: HuggingFace Connector Enhancement for Batch Embedding Generation (#10862) [ #10861 ]
  • 4a15231 .Net: Allow HttpClient to be passed in for AzureOpenAI when building from s… (#10703)
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python-1.24.1

13 Mar 03:20
@moonbox3 moonbox3
python-1.24.1
da0ebd9
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python-1.24.1

Release Notes

New Features

Enhancements and Improvements

Bug Fixes

Python Package Updates

  • Python: Bump google-cloud-aiplatform from 1.82.0 to 1.83.0 in /python by @dependabot in #10901
  • Python: Update websockets requirement from <15,>=13 to >=13,<16 in /python by @dependabot in #10902
  • Python: Bump Python version to 1.24.1 and rc3 for a release by @moonbox3 in #10949

Full Changelog: python-1.24.0...python-1.24.1

Contributors

eavanvalkenburg, dependabot, and 2 other contributors
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python-1.24.0

11 Mar 22:54
@moonbox3 moonbox3
python-1.24.0
285dc9e
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python-1.24.0

Release Notes

New Features

Enhancements and Improvements

  • Python: Support AzureAIAgent agent_id instead of assistant_id by @moonbox3 in #10908

Python Package Updates

  • Python: Bump Python version to 1.24.0 for a release. by @moonbox3 in #10929

Full Changelog: python-1.23.1...python-1.24.0

Contributors

TaoChenOSU, eavanvalkenburg, and moonbox3
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dotnet-1.41.0

11 Mar 19:58
@markwallace-microsoft markwallace-microsoft
dotnet-1.41.0
43326a2
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dotnet-1.41.0

Changes:

  • 43326a2 .Net: Updated package version for SK and MEVD (#10922)
  • 056470c .Net Add mechanism to access http request options (#10888)
  • 2ef5233 .Net: March 2025 VectorData updates (#10804)
  • c00060f .Net: Make Bedrock agent clients required and public (#10899)
  • ba9c17c .Net: Bump PdfPig from 0.1.9 to 0.1.10 in /dotnet (#10905)
  • 6778ad3 .Net: Implement support for text embedding generation in AWS Bedrock (#10863) [ #10644 ]
  • a36fa18 .Net: Bump Microsoft.Azure.Functions.Worker.Extensions.Http from 3.2.0 to 3.3.0 in /dotnet (#10903) [ #2901, #2894, #2940, #2936, #2930, #2907, #2906, #2898 ]
  • 3162bc3 .Net: Bump Microsoft.AspNetCore.Mvc.Testing, Microsoft.Extensions.Configuration, Microsoft.Extensions.Configuration.Binder, Microsoft.Extensions.Configuration.EnvironmentVariables, Microsoft.Extensions.Configuration.Json and Microsoft.Extensions.Configuration.UserSecrets in /dotnet (#10904)
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vectordata-dotnet-9.0.0-preview.1.25161.1

11 Mar 19:14
@markwallace-microsoft markwallace-microsoft
vectordata-dotnet-9.0.0-preview.1.25161.1
43326a2
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vectordata-dotnet-9.0.0-preview.1.25161.1 Pre-release
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python-1.23.1

07 Mar 19:27
@eavanvalkenburg eavanvalkenburg
python-1.23.1
3fc9864
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python-1.23.1

Enhancements and Improvements

  • Python: New samples added to use the auto_reduce flag in the ChatHistorySummarizationReducer and the ChatHistoryTruncationReducer classes by @saurabhvartak1982 in #10830
  • Python: During Dapr step activation, perform model validate internally by @moonbox3 in #10841

Bug Fixes

Python Package Updates

New Contributors

Full Changelog: python-1.23.0...python-1.23.1

Contributors

eavanvalkenburg, moonbox3, and saurabhvartak1982
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Python 1.23.0

06 Mar 21:07
@eavanvalkenburg eavanvalkenburg
python-1.23.0
b1a81e7
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Python 1.23.0

Release Notes

Realtime Clients!

We are super excited to release the experimental version of the RealtimeClients, now for OpenAI websockets and WebRTC and for Azure OpenAI over Websockets, see our blog and documentation for more info.

New Features

  • Add sample to show how to retrieve existing azure ai agent definition by @moonbox3 in #10801

Enhancements and Fixes

Bug Fixes and Improvements

Python Package Updates

Full Changelog: python-1.22.1...python-1.23.0

Contributors

TaoChenOSU, eavanvalkenburg, and 2 other contributors
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python-1.22.1

03 Mar 12:38
@moonbox3 moonbox3
python-1.22.1
0153073
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python-1.22.1

Release Notes

Python Package Updates

Enhancements and Fixes

Bug Fixes and Improvements

  • fixed vector dimension to 1536 by @cplemm #10749
  • Don't store AzureAIInferenceChatCompletion response inner_content inside of item's text content by @moonbox3 #10747

New Contributors

Full Changelog: python-1.22.0...python-1.22.1

Contributors

cplemm and moonbox3
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dotnet-1.40.1

03 Mar 10:17
@markwallace-microsoft markwallace-microsoft
dotnet-1.40.1
5d55c05
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dotnet-1.40.1

Changes:

  • 5d55c05 .Net: Use preview suffix for Agents abstractions (#10745)
  • 9ad9f2c .Net: ADR Samples Contribution Guidelines (#10526) [ #10168 ]
  • 4fdaf67 .Net: Sample Code Showcasing Usage of Reasoning Models in OpenAI and AzureOpenAI (#10558)
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python-1.22.0

28 Feb 02:28
@moonbox3 moonbox3
python-1.22.0
fd27470
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python-1.22.0

Release Notes

New Features

  • Python: Agent get_response API by @TaoChenOSU in #10701

    We've simplified our APIs to make it easier to quickly get started with agents. You can now directly retrieve an agent response using:

    response = await agent.get_response(chat_history)

    This new API complements the existing invoke and invoke_stream methods you may already be using.

  • Python: Allow plugins via agent constructors. Update samples. by @moonbox3 in #10707

    We've streamlined the way plugins and services can be added to agents. You no longer need to separately define a kernel and manually add plugins before constructing an agent. The simplified constructor looks like this:

    agent = ChatCompletionAgent(
    service=AzureChatCompletion(),
    instructions="Answer questions about the world.",
    plugins=[SamplePlugin()],
)

    This update enhances usability as we approach our release candidate. The previous approach remains valid, but this new method offers improved simplicity. Please refer to the migration guide for details on updating to SK 1.22.0+.

    The old way is still valid, but this is a much more streamlined approach.

  • Python: Add support for AutoGen's 0.2 ConversableAgent by @moonbox3 in #10607

    Semantic Kernel Python now supports integration with AutoGen 0.2's ConversableAgent, enabling seamless use within the SK ecosystem:

    from autogen import ConversableAgent
from semantic_kernel.agents.autogen.autogen_conversable_agent import AutoGenConversableAgent

async def main():
    cathy = ConversableAgent(
        "cathy",
        system_message="Your name is Cathy and you are a part of a duo of comedians.",
        llm_config={
            "config_list": [
                {
                    "model": os.environ["OPENAI_CHAT_MODEL_ID"],
                    "temperature": 0.9,
                    "api_key": os.environ.get("OPENAI_API_KEY"),
                }
            ]
        },
        human_input_mode="NEVER",  # Never ask for human input.
    )

    cathy_autogen_agent = AutoGenConversableAgent(conversable_agent=cathy)

    joe = ConversableAgent(
        "Joe",
        system_message="Your name is Joe and you are a part of a duo of comedians.",
        llm_config={
            "config_list": [
                {
                    "model": os.environ["OPENAI_CHAT_MODEL_ID"],
                    "temperature": 0.7,
                    "api_key": os.environ.get("OPENAI_API_KEY"),
                }
            ]
        },
        human_input_mode="NEVER",  # Never ask for human input.
    )

    joe_autogen_agent = AutoGenConversableAgent(conversable_agent=joe)

    async for content in cathy_autogen_agent.invoke(
        recipient=joe_autogen_agent, message="Tell me a joke about the stock market.", max_turns=3
    ):
        print(f"# {content.role} - {content.name or '*'}: '{content.content}'")


if __name__ == "__main__":
    asyncio.run(main())

  • Python: Introducing AzureCosmosDBforMongoDB store and collection by @eavanvalkenburg in #10609

  • Python: Introducing the Chroma Connector with the new vector store design by @eavanvalkenburg in #10678

  • Python: Introduce feature decorator to allow for experimental and release candidate decorator usage by @moonbox3 in #10691

Python Package Updates

  • Python: Update boto3 requirement from ~=1.36.4 to >=1.36.4,<1.38.0 in /python by @dependabot in #10660
  • Python: Bump Python version to 1.22.0 for a release. by @moonbox3 in #10718

Enhancements and Fixes

  • Python: Improve/Simplify the Assistant Agents by @moonbox3 in #10666

    We’ve significantly enhanced our AzureAssistantAgent and OpenAIAssistantAgent classes to improve scalability and flexibility. Developers now have direct access to the underlying client and assistant model configurations. Note: this update introduces breaking changes for those upgrading from versions prior to 1.22.0. Please consult our migration guide to assist with the transition.

  • Python: Improve agent getting started samples by @TaoChenOSU in #10667

  • Python: improve feature decorator return type so it doesn't affect Pylance by @moonbox3 in #10704

  • Python: lazy create stores in integration tests by @eavanvalkenburg in #10705

Bug Fixes and Improvements

Full Changelog: python-1.21.3...python-1.22.0

Contributors

drdrew42, TaoChenOSU, and 3 other contributors
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