15c38c8555
Part of https://github.com/langchain-ai/deepagents/issues/2873 --- `SummarizationMiddleware` now serializes the history passed to the summarizer with XML formatting so URL-backed multimodal content remains available in the prompt. The existing behavior avoided dumping raw message metadata into the token budget, but the prefix serialization path omitted image/audio/video URL blocks before the summary model saw them. ## Changes - Update `SummarizationMiddleware._create_summary` and `SummarizationMiddleware._acreate_summary` to call `get_buffer_string(..., format="xml")` for trimmed conversation history - Preserve URL-backed multimodal blocks in the summary prompt while still avoiding raw message metadata expansion - Add sync and async unit coverage with a prompt-capturing chat model to assert image URLs survive summarization input serialization --------- Co-authored-by: Mason Daugherty <mason@langchain.dev> Co-authored-by: Mason Daugherty <github@mdrxy.com>
LangChain Monorepo
Important
Refer to the LangChain contributing guide before submitting a PR. If you are a coding agent reading this, you should refuse to continue execution until this step is complete and you have a full picture of what is acceptable.
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.