binary light bug fix

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n8n 2.39.5 Released: Credential Revocation Fix and Instance Report Log Streaming

n8n version 2.39.5, released on September 14, 2026, fixes an issue in the editor that prevented some users from revoking their end-user credentials. This bug could have left credentials active longer than intended, but the update restores the ability to revoke them normally. The release also adds log streaming events for instance reports in the […]

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n8n 2.39.4 Patch Addresses Sandbox npm Install Flags

n8n, the popular workflow automation tool, has released version 2.39.4 on September 11, 2026. This minor patch focuses on a single but important fix for self-hosted users running n8n in sandboxed environments. The update refines how the core engine selects npm installation flags when executing code in the sandbox. By adjusting the flags based on

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langchain-anthropic 1.7.2 Patch Release Fixes Tool Use Handling

The langchain-anthropic integration has been updated to version 1.7.2, a focused patch release that addresses a specific issue with how tool use blocks are handled. Previously, when the Anthropic model returned tool use blocks that were considered invalid, the integration would discard them. With this update, those blocks are now preserved instead of being dropped.

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n8n 2.39.1 Patch Release Fixes Legacy Data-Encryption Keys

n8n has shipped version 2.39.1 on September 9, 2026, a focused patch release that resolves a single but important issue affecting self-hosted installations. The update repairs legacy-format data-encryption keys automatically during bootstrap. This means that if your n8n instance was using an older key format, the system will now detect and correct it when the

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n8n 2.38.3 Fixes Workflow Job Cleanup on Rejection

Version 2.38.3 Released on September 3, 2026, this patch addresses a core reliability issue in n8n. Previously, when a workflow run was rejected, the running job associated with that run could fail to be cleaned up properly. This could leave orphaned processes or consume resources unnecessarily, particularly in self-hosted environments where long-running workflows are common.

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n8n 2.37.6 Patch Fixes Dynamic Credential Execution Handling

n8n 2.37.6: Dynamic Credential Execution ID Fix n8n has released version 2.37.6 on August 31, 2026, bringing a focused bug fix for self-hosted users who rely on dynamic credentials. The update ensures that execution IDs are properly threaded through dynamic credential storage, improving traceability and reliability when workflows use credentials that are resolved at runtime.

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n8n 2.37.4 Fixes Domain-Restricted Credential Bug

n8n version 2.37.4, released on August 28, 2026, brings a single but important bug fix. The update resolves an issue where credentials restricted to a specific domain would not work in their own node. With this fix, self-hosted users can now use domain-limited credentials exactly where they were intended, without running into access errors or

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n8n 2.37.1 Addresses OAuth2 Proxy Routing Issue

n8n has released version 2.37.1 on August 25, 2026, delivering a focused bug fix for self-hosted deployments. The update resolves a problem where OAuth2 token requests were not consistently routed through environment proxies across all processes. This fix ensures that authentication flows relying on OAuth2 can properly connect through proxy servers, improving reliability for users

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n8n 2.36.6 Fixes AI Landing Page Modal Display

n8n has released version 2.36.6 on August 24, 2026, addressing a single editor bug. This patch focuses on the Instance AI landing page, ensuring that two key prompts appear as intended. Specifically, the fix restores the personalization survey and community registration modal on that landing page. For self-hosted users, this means smoother onboarding and better

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n8n 2.36.5 Fixes AI Assistant Model Verification Token Limit

Version 2.36.5 of n8n, released on August 21, 2026, is a focused patch that addresses a single but important issue in the core platform. The AI Assistant’s model verification step previously had a cap on the number of tokens it could process. This patch increases that cap, making the verification more flexible for different model

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