langchain-azure-ai: 0.1.7

Azure AI Foundry integration with LangChain/LangGraph.

agents

Classes

agents.agent_service.AgentServiceFactory	Factory to create and manage declarative chat agents in Azure AI Foundry.
agents.prebuilt.declarative.DeclarativeChatAgentNode(...)	A LangGraph node that represents a declarative chat agent in Azure AI Foundry.
agents.prebuilt.tools.AgentServiceBaseTool	A tool that interacts with Azure AI Foundry Agent Service.

Functions

agents.agent_service.external_tools_condition(state)

Determine the next node based on whether the AI message contains tool calls.

chat_message_histories

Classes

chat_message_histories.cosmos_db.CosmosDBChatMessageHistory(...)

Chat message history backed by Azure CosmosDB.

chat_models

Classes

chat_models.inference.AzureAIChatCompletionsModel

Azure AI Chat Completions Model.

Functions

chat_models.inference.from_inference_message(message)	Convert an inference message dict to generic message.
chat_models.inference.to_inference_message(...)	Converts a sequence of BaseMessage to ChatRequestMessage.

embeddings

Classes

embeddings.inference.AzureAIEmbeddingsModel

Azure AI model inference for embeddings.

query_constructors

Classes

query_constructors.cosmosdb_no_sql.AzureCosmosDbNoSQLTranslator([...])

A visitor that converts a StructuredQuery into an CosmosDB NO SQL query.

retrievers

Classes

retrievers.azure_ai_search.AzureAISearchRetriever	Azure AI Search service retriever.
retrievers.azure_ai_search.AzureCognitiveSearchRetriever	Azure Cognitive Search service retriever.

tools

Classes

tools.ai_services.document_intelligence.AzureAIDocumentIntelligenceTool	Tool that queries the Azure AI Document Intelligence API.
tools.ai_services.document_intelligence.DocumentInput	The input document for the Azure AI Document Intelligence tool.
tools.ai_services.image_analysis.AzureAIImageAnalysisTool	Tool that queries the Azure AI Services Image Analysis API.
tools.ai_services.image_analysis.ImageInput	The input document for the Azure AI Image Analysis tool.
tools.ai_services.text_analytics_health.AzureAITextAnalyticsHealthTool	Tool that queries the Azure AI Text Analytics for Health API.
tools.logic_apps.AzureLogicAppTool	A tool that interacts with Azure Logic Apps.

utils

Classes

utils.utils.JSONObjectEncoder(*[, skipkeys, ...])

Custom JSON encoder for objects in LangChain.

Functions

utils.env.get_from_dict_or_env(data, key, ...)	Get a value from a dictionary or an environment variable.
utils.env.get_from_env(key, env_key[, ...])	Get a value from a dictionary or an environment variable.
utils.math.cosine_similarity(X, Y)	Row-wise cosine similarity between two equal-width matrices.
utils.math.cosine_similarity_top_k(X, Y[, ...])	Row-wise cosine similarity with optional top-k and score threshold filtering.
utils.utils.detect_file_src_type(file_path)	Detect if the file is local or remote.
utils.utils.download_audio_from_url(audio_url)	Download audio from url to local.
utils.utils.get_endpoint_from_project(...[, ...])	Retrieves the endpoint and credentials required a given a project endpoint.

vectorstores

Classes

vectorstores.azure_cosmos_db_mongo_vcore.AzureCosmosDBMongoVCoreVectorSearch(...)	Azure Cosmos DB for MongoDB vCore vector store.
vectorstores.azure_cosmos_db_mongo_vcore.CosmosDBSimilarityType(value)	Cosmos DB Similarity Type as enumerator.
vectorstores.azure_cosmos_db_mongo_vcore.CosmosDBVectorSearchCompression(value)	Cosmos DB Vector Search Compression as enumerator.
vectorstores.azure_cosmos_db_mongo_vcore.CosmosDBVectorSearchType(value)	Cosmos DB Vector Search Type as enumerator.
vectorstores.azure_cosmos_db_no_sql.AzureCosmosDBNoSqlVectorSearch(*, ...)	Azure Cosmos DB for NoSQL vector store.
vectorstores.azure_cosmos_db_no_sql.AzureCosmosDBNoSqlVectorStoreRetriever	Retriever that uses Azure CosmosDB No Sql Search.
vectorstores.azuresearch.AzureSearch(...[, ...])	Azure Cognitive Search vector store.
vectorstores.azuresearch.AzureSearchVectorStoreRetriever	Retriever that uses Azure Cognitive Search.
vectorstores.cache.AzureCosmosDBMongoVCoreSemanticCache(...)	Cache that uses Cosmos DB Mongo vCore vector-store backend.
vectorstores.cache.AzureCosmosDBNoSqlSemanticCache(...)	Cache that uses Cosmos DB NoSQL backend.
vectorstores.utils.DistanceStrategy(value)	Enumerator of the Distance strategies for calculating distances between vectors.

Functions

vectorstores.utils.filter_complex_metadata(...)	Filter out metadata types that are not supported for a vector store.
vectorstores.utils.maximal_marginal_relevance(...)	Calculate maximal marginal relevance.