Mem0 Python SDK (v2.0.8)

Mem0 Python SDK (v2.0.8)

New Features:

• Embeddings: Add native embed_batch to five embedders — LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI — for batched embedding requests (#5609)

Bug Fixes:

• Core: Guard against malformed image_url entries in parse_vision_messages to prevent crashes (#5631)
• Core: Return attributed_to from get(), get_all(), and search() (#5629)
• Core: Fix reset() only dropping the history table and leaving stale messages behind (#5541)
• Core: Guard against an entity embed_batch count mismatch in the v3 add pipeline (#5604)
• Core: Fix an async delete_all race condition that corrupted the entity store's linked_memory_ids (#5553)
• LLMs: Skip the JSON response_format for Groq compound models that reject it (#5513)
• LLMs: Preserve reasoning fields during base-to-provider config conversion (#5638)
• LLMs: Pass the configured anthropic_base_url to the Anthropic client (#5626)
• LLMs: Stop the Azure provider from mutating and corrupting caller messages during content rewrite (#5731)
• LLMs & Embeddings: Repair HTTP proxy support for httpx>=0.28 and preserve proxies in LlmFactory (#5447)
• Embeddings: Forward embedding_dims to Titan V2 in the AWS Bedrock embedder (#5671)
• Rerankers: Log reranking failures instead of swallowing them silently (#5717)
• Rerankers: Clamp out-of-range LLM scores instead of mis-parsing them (#5635)
• Rerankers: Export all five rerankers from the package root (#5636)
• Vector Stores: Point the FastEmbed-missing warning at mem0ai[extras] (#5622)
• Vector Stores: Preserve empty Azure AI Search update values (#5524)
• Vector Stores: Add an auto_refresh option for OpenSearch Serverless compatibility (#3893)
• Vector Stores: Wrap a scalar vector_id in a list for Chroma delete() (#5703)
• Vector Stores: Wrap Chroma update() ids, embeddings, and metadatas in lists (#5757)
• Vector Stores: Wrap a scalar vector_id in a list for Milvus delete() (#5704)
• Vector Stores: Map all comparison operators in the Pinecone _create_filter() (#5707)
• Vector Stores: Return None instead of {} from Chroma _generate_where_clause for empty filters (#5713)
• Vector Stores: Return [[]] from the OpenSearch list() error path to honor the list() contract (#5727)
• Vector Stores: Return [[]] from the Pinecone list() error path instead of a dict (#5706)
• Vector Stores: Return [[]] for an uninitialized FAISS index to honor the list() contract (#5725)
• Vector Stores: Wrap the MongoDB list() return in an outer list to match the interface contract (#5729)
• Vector Stores: Deep-copy Redis DEFAULT_FIELDS so instances keep distinct dims (#5633)
• Vector Stores: Pass the required vectors arg in Vertex AI list() and similarity search (#5627)
• Vector Stores: Return None from Redis get() for missing IDs (#5625)
• Vector Stores: Drop a stray print in Weaviate list_cols (#5637)
• Graph: Keep distinct entities that share a substring prefix (#5630)
• Client: Check the HTTP status before parsing the ping response in _validate_api_key (#5639)
• Server: Fetch filtered dashboard memories beyond the default page (#5753)
• Server: Return 404/400 instead of 502 for not-found and invalid input (#5634)
• Server: Return 404 instead of 500 for a malformed API key id on revoke (#5640)
• Server: Use 127.0.0.1 in the dashboard healthcheck to avoid IPv6 localhost resolution (#5612)

Improvements:

• Vector Stores: Batch BM25 sparse encoding in Qdrant insert (#5592)

Security:

• Vector Stores: Sanitize Milvus and Baidu filter values to prevent expression injection (#5746)
• Vector Stores: Reject dict filter values in MongoDB to prevent NoSQL operator injection (#5748)