Metadata-Version: 2.3
Name: langchain-azure-ai
Version: 0.1.6
Summary: An integration package to support Azure AI Foundry capabilities for model inference in LangChain.
License: MIT License
         
         Copyright (c) 2023 LangChain, Inc.
         
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Requires-Python: ~=3.9
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Provides-Extra: opentelemetry
Requires-Dist: aiohttp (>=3.10,<4.0)
Requires-Dist: azure-ai-agents (>=1.0,<2.0)
Requires-Dist: azure-ai-documentintelligence (>=1.0.2,<2.0.0)
Requires-Dist: azure-ai-inference[opentelemetry] (>=1.0.0b9,<2.0)
Requires-Dist: azure-ai-projects (==1.1.0b4)
Requires-Dist: azure-ai-textanalytics (>=5.3.0,<6.0.0)
Requires-Dist: azure-ai-vision-imageanalysis (>=1.0.0,<2.0.0)
Requires-Dist: azure-core (>=1.32,<2.0)
Requires-Dist: azure-cosmos (>=4.14.0b1,<5.0)
Requires-Dist: azure-identity (>=1.15,<2.0)
Requires-Dist: azure-monitor-opentelemetry (>=1.6,<2.0) ; extra == "opentelemetry"
Requires-Dist: azure-search-documents (>=11.4,<12.0)
Requires-Dist: langchain-core (>=0.3.0,<0.4.0)
Requires-Dist: langchain-openai (>=0.3.0,<0.4.0)
Requires-Dist: numpy (>=1.26.2) ; python_version < "3.13"
Requires-Dist: numpy (>=2.1.0) ; python_version >= "3.13"
Requires-Dist: opentelemetry-instrumentation-threading (>=0.49b2,<0.50) ; extra == "opentelemetry"
Requires-Dist: opentelemetry-semantic-conventions-ai (>=0.4.2,<0.5.0) ; extra == "opentelemetry"
Project-URL: Repository, https://github.com/langchain-ai/langchain-azure
Project-URL: Release Notes, https://github.com/langchain-ai/langchain-azure/releases
Project-URL: Source Code, https://github.com/langchain-ai/langchain-azure/tree/main/libs/azure-ai
Description-Content-Type: text/markdown

# langchain-azure-ai

This package contains the LangChain integration for Azure AI Foundry. To learn more about how to use this package, see the LangChain documentation in [Azure AI Foundry](https://aka.ms/azureai/langchain).

> [!NOTE]
> This package is in Public Preview. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).

## Installation

```bash
pip install -U langchain-azure-ai
```

For using tracing capabilities with OpenTelemetry, you need to add the extras `opentelemetry`:

```bash
pip install -U langchain-azure-ai[opentelemetry]
```

## Changelog

- **0.1.6**:

  - **[Breaking change]:** Using parameter `project_connection_string` to create `AzureAIEmbeddingsModel` and `AzureAIChatCompletionsModel` is not longer supported. Use `project_endpoint` instead.
  - **[Breaking change]:** Class `AzureAIInferenceTracer` has been removed in favor of `AzureAIOpenTelemetryTracer` which has a better support for OpenTelemetry and the new semantic conventions for GenAI.
  - Adding the following tools to the package: `AzureAIDocumentIntelligenceTool`, `AzureAIImageAnalysisTool`, and `AzureAITextAnalyticsHealthTool`. You can also use `AIServicesToolkit` to have access to all the tools in Azure AI Services.

- **0.1.4**:

  - Bug fix [#91](https://github.com/langchain-ai/langchain-azure/pull/91).

- **0.1.3**:

  - **[Breaking change]:** We renamed the parameter `model_name` in `AzureAIEmbeddingsModel` and `AzureAIChatCompletionsModel` to `model`, which is the parameter expected by the method `langchain.chat_models.init_chat_model`.
  - We fixed an issue with JSON mode in chat models [#81](https://github.com/langchain-ai/langchain-azure/issues/81).
  - We fixed the dependencies for NumpPy [#70](https://github.com/langchain-ai/langchain-azure/issues/70).
  - We fixed an issue when tracing Pyndantic objects in the inputs [#65](https://github.com/langchain-ai/langchain-azure/issues/65).
  - We made `connection_string` parameter optional as suggested at [#65](https://github.com/langchain-ai/langchain-azure/issues/65).

- **0.1.2**:

  - Bug fix [#35](https://github.com/langchain-ai/langchain-azure/issues/35).

- **0.1.1**: 

  - Adding `AzureCosmosDBNoSqlVectorSearch` and `AzureCosmosDBNoSqlSemanticCache` for vector search and full text search.
  - Adding `AzureCosmosDBMongoVCoreVectorSearch` and `AzureCosmosDBMongoVCoreSemanticCache` for vector search.
  - You can now create `AzureAIEmbeddingsModel` and `AzureAIChatCompletionsModel` clients directly from your AI project's connection string using the parameter `project_connection_string`. Your default Azure AI Services connection is used to find the model requested. This requires to have `azure-ai-projects` package installed.
  - Support for native LLM structure outputs. Use `with_structured_output(method="json_schema")` to use native structured schema support. Use `with_structured_output(method="json_mode")` to use native JSON outputs capabilities. By default, LangChain uses `method="function_calling"` which uses tool calling capabilities to generate valid structure JSON payloads. This requires to have `azure-ai-inference >= 1.0.0b7`.
  - Bug fix [#18](https://github.com/langchain-ai/langchain-azure/issues/18) and [#31](https://github.com/langchain-ai/langchain-azure/issues/31).

- **0.1.0**:

  - Introduce `AzureAIEmbeddingsModel` for embedding generation and `AzureAIChatCompletionsModel` for chat completions generation using the Azure AI Inference API. This client also supports GitHub Models endpoint.
  - Introduce `AzureAIOpenTelemetryTracer` for tracing with OpenTelemetry and Azure Application Insights.

