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
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🤔 What is this?
LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications.
We recommend you use LangChain if you want to quickly build agents and autonomous applications. Use LangGraph, our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency.
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Resources
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