model profiles

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langchain-openai 1.6.1 Release Notes

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 Fireworks 1.6.0 Adds Document Reranking and Tool Call Fixes

The langchain-fireworks integration has been updated to version 1.6.0, bringing new capabilities and important fixes for self-hosted LangChain deployments. The headline feature is the addition of document reranking, which allows users to improve retrieval quality by reordering documents based on relevance before passing them to the model. On the core side, standard model exception types

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LangChain-Fireworks 1.5.2: Keeping Model Profiles Fresh for Self-Hosted Setups

The langchain-fireworks package has been bumped to version 1.5.2, bringing a series of behind-the-scenes improvements that matter for anyone running their own AI stack. This release is all about keeping model profile data accurate and current. For self-hosted users, up-to-date profiles mean your integration can correctly leverage the latest capabilities and pricing of models from

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LangChain-OpenRouter 0.2.7 Keeps Model Profiles and Dependencies Current

The langchain-openrouter package has been updated to version 0.2.7, bringing a wave of routine but essential syncs that keep your self-hosted setup aligned with the latest OpenRouter offerings. Central to this release are multiple refreshes of model profile data — the internal catalog that describes which models are available, their capabilities, and how to interact

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