# December 11: Support for GPT-5.2, Attio CRM, mirror sync mode, filter modes ### New Features * 💡 Graphlit now supports **OpenAI GPT-5.2** with the model enum `GPT52_400K`. * 💡 We have completed **Attio CRM integration** as a data source, allowing you to ingest companies, contacts, and custom CRM objects directly into your knowledge graph. Custom object mappings let you model your specific CRM structure (LPs, Investments, External Funders, etc.). * We have added **MIRROR sync mode** for Azure blob and S3 feeds, enabling bidirectional synchronization where deletions in the source are reflected in Graphlit. * We have added **filter modes** (`any`, `all`, `only`) for collections and other filter objects, providing more precise control over how multiple filter values are combined. * We have added an **entity relationship lookup query** for efficient traversal of knowledge graph relationships without scanning the full graph. * **MCP server support** is now available directly from Graphlit projects, similar to Zine. Developers can expose their project content via remote MCP with API key authentication. * We have added a **relevance threshold** property to filter objects, allowing developers to override the default vector similarity threshold. ### Bugs Fixed * GPLA-4758: Fixed precondition failures when updating content concurrently * GPLA-4764: Person entities now correctly generate vector embeddings * GPLA-4763: Fixed specification upsert matching similar names incorrectly (e.g., "GPT-5" vs "GPT-5.1") * GPLA-4724: Fixed slow CosmosDB queries with multi-partition fallback retries * GPLA-4682: Credits quota exceeded now returns proper `PaymentRequired` status instead of `BadRequest` --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://changelog.graphlit.dev/december-2025/december-11-support-for-gpt-5.2-attio-crm-mirror-sync-mode-filter-modes.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.