haystack

v2.30.1 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

Published 1mo LLM Frameworks

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agent agents ai gemini generative-ai gpt-4

+13 more

information-retrieval large-language-models llm machine-learning nlp orchestration python pytorch question-answering retrieval-augmented-generation semantic-search summarization transformers

Affected surfaces

auth

Summary

AI summary

AzureOpenAIChatGenerator now accepts a Secret for azure_endpoint and api_version enabling runtime resolution from environment variables.

Changes in this release

Type	Severity	Summary	CVE
Feature	Medium	AzureOpenAIChatGenerator now accepts Secret for azure_endpoint and api_version parameters. AzureOpenAIChatGenerator now accepts Secret for azure_endpoint and api_version parameters. Source: llm_adapter@2026-06-09 Confidence: high	—

Full changelog

⚡️ Enhancement Notes

AzureOpenAIChatGenerator now accepts a Secret for the azure_endpoint and api_version parameters in addition to a plain string. This makes it possible to resolve these values from environment variables at runtime, for example with Secret.from_env_var("AZURE_OPENAI_ENDPOINT"), so the same serialized pipeline can switch between environments (e.g. dev and prod) by changing environment variables instead of the pipeline definition.

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About haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

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Related context

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Earlier breaking changes

v2.30.0 LLM.run and LLM.run_async no longer accept positional messages or streaming_callback arguments.
v2.29.0 `LLM.run` and `LLM.run_async` now require keyword arguments for `messages` and `streaming_callback`.