mirror of
https://github.com/tiennm99/litellm.git
synced 2026-08-14 02:22:54 +00:00
docs - release notes
This commit is contained in:
@@ -53,21 +53,24 @@ pip install litellm==1.74.6
|
||||
|
||||
---
|
||||
|
||||
## MCP Gateway: Enhanced Namespacing
|
||||
|
||||
v1.74.6 introduces improved URL-based namespacing for MCP servers, enabling better segregation and organization of MCP tools across different environments and teams.
|
||||
|
||||
Key features include:
|
||||
- **URL-based namespacing**: Better isolation between different MCP server instances
|
||||
- **Access group improvements**: Enhanced management of MCP server access through configuration
|
||||
- **Tool permission management**: Improved object permissions when updating/deleting keys and teams
|
||||
|
||||
Read more [here](https://docs.litellm.ai/docs/mcp#grouping-mcps-access-groups)
|
||||
|
||||
---
|
||||
|
||||
## Vector Stores API
|
||||
|
||||
This release introduces support for using VertexAI RAG Engine, PG Vector, Bedrock Knowledge Bases, and OpenAI Vector Stores with LiteLLM.
|
||||
|
||||
This is ideal for use cases requiring external knowledge sources with LLMs.
|
||||
|
||||
This brings the following benefits:
|
||||
|
||||
|
||||
**Proxy Admin Benefits:**
|
||||
- Fine-grained access control: determine which Keys and Teams can access specific Vector Stores
|
||||
- Complete usage tracking and monitoring across all vector store operations
|
||||
|
||||
**Developer Benefits:**
|
||||
- Simple, unified interface for querying vector stores and using them with LLM API requests
|
||||
- Consistent API experience across all supported vector store providers
|
||||
|
||||
|
||||
|
||||
[Get started](../../docs/completion/knowledgebase)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user