Bump mem0ai from 1.0.11 to 2.0.11

[dependabot]

Bumps mem0ai from 1.0.11 to 2.0.11.

Release notes

Sourced from mem0ai's releases.

Mem0 Python SDK (v2.0.11)

Bug Fixes:

• Embeddings: Guard against an embed_batch count mismatch in the OpenAI and Azure OpenAI embedders (#5966)
• Memory: Re-raise LLM extraction failures instead of silently returning [] (#5878)
• Vector Stores: Normalize vectors for the cosine distance strategy in FAISS (#5960)

Security:

• Vector Stores: Validate OpenSearch filter values to prevent term query injection (#5986)
• Vector Stores: Validate value types and escape quotes in Azure AI Search OData filters (#5983)
• Vector Stores: Validate Databricks catalog/schema/table identifiers to prevent SQL injection (#5988)
• Graph: Escape Neptune filter values in openCypher queries to prevent injection (#5982)

Mem0 Python SDK (v2.0.10)

New Features:

• Client: Expose expiration_date on MemoryClient.update() and AsyncMemoryClient.update() — callers can now set or clear a memory's expiration date; None is preserved and forwarded to the API (#5874)

Bug Fixes:

• Memory (OSS): Apply remove_code_blocks() to the LangChain path in async _create_procedural_memory so code fences are stripped consistently (#5711)
• Rerankers: Score HuggingFace cross-encoder results with per-document sigmoid instead of set-relative min-max, preventing a single low-score document from collapsing all relevance scores to zero (#5715)
• Core: Validate and trim entity IDs (user_id, agent_id, run_id) in delete_all() for both sync and async Memory (#5735)
• Vector Stores: Use .get() for hash and created_at in the Redis insert() and update() paths so entity payloads that omit those fields no longer raise KeyError (#5709)
• Memory: Fix scale-threshold notices not firing for Redis and search-engine backends by resolving col_info() signature differences and adding num_docs to the count-extraction lookup (#5687)
• Vector Stores: Escape special characters in Valkey FT.SEARCH tag filter values to prevent wildcard and operator injection through tenant-isolation filters (#5750)

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)

... (truncated)

Commits

• f2532f0 chore: update changelog, bump SDK versions to Python 2.0.11 and TypeScript 3....
• 41c8f00 chore(integrations): plugin updates, pi-agent auto-recall, and version bumps ...
• a36a392 fix(opensearch): validate filter values to prevent term query injection (#5986)
• 152d1e6 fix(embeddings): guard embed_batch count mismatch in OpenAI and Azure OpenAI ...
• bc05fd9 fix(neptune): escape filter values in openCypher queries to prevent injection...
• ad7e098 fix(memory): re-raise LLM extraction failures instead of returning [] (salvag...
• c325bd3 docs(changelog): consolidate per-package changelogs into the SDK changelog pa...
• 2add7fd docs(graph-memory): gate Graph view visualization to Pro/Enterprise (#6000)
• b2ff3ae Clean up release highlights copy and removing emdash from the docs (#5984)
• 754034a Revert "fix(memory): accept llm kwarg in sync Memory.add()/_create_procedur...
• Additional commits viewable in compare view

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