langchain-openai

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LangChain-OpenAI 1.6.2 Adds GPT-6 Astra Reasoning and Updates Dependencies

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The LangChain-OpenAI library has been updated to version 1.6.2, bringing a new feature and a routine dependency upgrade since the previous release 1.6.1. This update focuses on expanding model support and keeping the package aligned with current ecosystem requirements. First, the integration now recognizes reasoning effort settings for the newly introduced GPT-6 Astra model. This […]

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langchain-openai 1.6.1 Release Notes

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New Features and Compatibility Enhancements This release, version 1.6.1, brings several notable additions for self-hosted users. The package now supports asynchronous tools, enabling agent workflows to call tool functions without blocking the event loop. It also introduces support for the configuration_update feature, which allows dynamic runtime configuration updates in OpenAI integrations. Additionally, Azure Active Directory

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LangChain-OpenAI 1.6.0 Released with Clearer Error Handling

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What’s New in This Update The langchain-openai package has been bumped from version 1.5.2 to 1.6.0, with a focus on making errors easier to understand and manage. The core library now includes standard exception types for model-related failures, so self-hosted users can catch and respond to errors more consistently across different providers. Additionally, the OpenAI

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LangChain-OpenAI 1.5.2: Reasoning Boundaries, Gateway Metadata, and O-Series Token Counting

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Version 1.5.2 of the langchain-openai package has been released, following a 1.5.2a1 pre-release, with a set of targeted improvements aimed at developers running OpenAI models through LangChain, especially in self-hosted or gateway-mediated environments. One of the key fixes in this release addresses how reasoning item boundaries are handled. Previously, when working with OpenAI responses that

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LangChain-OpenAI: Key Updates and New Capabilities for OpenAI Integration

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The langchain-openai package has matured rapidly from its initial release through version 1.5.2a1, delivering a wide range of new capabilities for developers building AI applications on top of OpenAI’s services. Major feature additions include support for the OpenAI Responses API, which enables more flexible interaction patterns, as well as compatibility with the latest OpenAI SDK

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LangChain-OpenAI v1.4.2: Improved Error Handling and Security Updates

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The latest patch release for the LangChain-OpenAI integration brings a focused set of fixes that improve reliability and security for self-hosted users. A new ContextWindowExceededError is now properly raised when the model’s token limit is breached, allowing your application to gracefully handle oversized prompts rather than failing silently. Additionally, the upgrade preserves custom text options—like

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LangChain-OpenAI v1.4.1: LangSmith Gateway Support and Model Profile Fix

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LangChain-OpenAI version 1.4.1 is a minor release that builds on the previous 1.4.0 with a couple of practical improvements. It focuses on better integration with LangSmith’s infrastructure and correcting a model configuration quirk. A notable new feature is the ability to route API calls through LangSmith’s gateway by simply setting an environment variable. This makes

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