[KongchangAI]
Productlangchain_core

langchain-core

The foundational module of the LangChain framework, providing essential capabilities including the Runnable interface, message abstractions, and a callback system. It serves as the base dependency for the entire LangChain ecosystem, and nearly all higher-level components within the framework depend on it.

Core Facts

Timeline (last 90 days)

Oct 12

langchain-core==1.6.10 was released by the github-actions bot on October 12 at 14:14, with commit hash fddca06

Unverified50%
Oct 12

This declaration of mid-conversation support involves three packages at the same time: core, anthropic and openai

Unverified50%
Oct 12

langchain-core 1.6.10 contains two main changes: a routine release commit (PR #41220) and the feature declaring mid-conversation support (PR #41180)

Unverified50%
Oct 12

The changes in PR #41180 involve three packages: core, anthropic and openai.

Unverified50%
Oct 12

If only langchain-openai is upgraded without upgrading core in sync, the upper-layer logic reading profiles may not recognize the new fields, or the declaration may be ignored without error.

Unverified50%
Oct 12

If a project has langchain-core, langchain-openai, langchain-anthropic and other packages installed at the same time, it is recommended to upgrade them all to mutually compatible versions to avoid inconsistency between capability declarations and actual implementations.

Unverified50%
Oct 10

By moving SSRF validation down to the langchain-core layer, all upper-layer applications that depend on this core library can automatically receive protection without each needing to implement it independently.

Unverified50%
Oct 10

The core change in langchain-core 1.6.8 compared to 1.6.7 is that SSRF checks for scoped and compatible IPv6 addresses were hardened via PR #41151.

Unverified50%
Oct 10

The article recommends that developers using LangChain upgrade to 1.6.8 as soon as possible, reviewing the changelog and validating modules involving network requests and URL handling in a test environment before upgrading.

Unverified50%
Oct 10

Implementing SSRF protection uniformly at the core layer embodies the Defense in Depth principle, offering better security coverage and consistency than a perimeter security mindset.

Unverified50%

27 more timeline events

All Facts (20)

Verified

The upgrade can be completed via the command pip install -U langchain-core==1.6.6.

90%
Verified

Patch-level updates generally do not introduce breaking changes and can typically be applied directly without modifying existing code.

90%
Verified

langchain-core 1.6.6 is a patch-level update that introduces no breaking changes.

80%
Verified

The LangChain team released a langchain-core version 1.6.6 update.

80%
Partially Verified

langchain-core 1.6.9 is a minor version iteration following 1.6.8.

75%
Unverified

langchain-core is the foundational dependency of the entire LangChain framework, carrying key capabilities such as the Runnable interface, message abstraction, and the callback system.

70%
Unverified

LangChain's Claude integration is implemented through the langchain-anthropic sub-package, but the foundational abstractions for model compatibility are defined in langchain-core.

70%
Unverified

This declaration of mid-conversation support involves three packages at the same time: core, anthropic and openai

50%
Unverified

langchain-core==1.6.10 was released by the github-actions bot on October 12 at 14:14, with commit hash fddca06

50%
Unverified

If a project has langchain-core, langchain-openai, langchain-anthropic and other packages installed at the same time, it is recommended to upgrade them all to mutually compatible versions to avoid inconsistency between capability declarations and actual implementations.

50%
Unverified

If only langchain-openai is upgraded without upgrading core in sync, the upper-layer logic reading profiles may not recognize the new fields, or the declaration may be ignored without error.

50%
Unverified

The changes in PR #41180 involve three packages: core, anthropic and openai.

50%
Unverified

Implementing SSRF protection uniformly at the core layer embodies the Defense in Depth principle, offering better security coverage and consistency than a perimeter security mindset.

50%
Unverified

The article recommends that developers using LangChain upgrade to 1.6.8 as soon as possible, reviewing the changelog and validating modules involving network requests and URL handling in a test environment before upgrading.

50%
Unverified

The core change in langchain-core 1.6.8 compared to 1.6.7 is that SSRF checks for scoped and compatible IPv6 addresses were hardened via PR #41151.

50%
Unverified

By moving SSRF validation down to the langchain-core layer, all upper-layer applications that depend on this core library can automatically receive protection without each needing to implement it independently.

50%
Unverified

The release process for version 1.6.9 corresponds to PR #41160.

50%
Unverified

The core change in langchain-core 1.6.9 is that with_retry can now accept a callable as a parameter.

50%
Unverified

1.6.9 is a patch/minor-level feature enhancement update with low risk of backward compatibility issues.

50%
Unverified

Prior to 1.6.9, all retry decision conditions in with_retry had to be statically declared at call time, with no ability to make differentiated decisions at runtime based on specific error content or context.

50%

Source Articles