Merge pull request #9643 from BerriAI/litellm_docs_stable_release_notes

[Docs - Release notes v0] v1.65.0-stable
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---
title: v1.65.0-stable - Model Context Protocol
slug: v1.65.0-stable
date: 2025-03-30T10:00:00
authors:
- name: Krrish Dholakia
title: CEO, LiteLLM
url: https://www.linkedin.com/in/krish-d/
image_url: https://media.licdn.com/dms/image/v2/D4D03AQGrlsJ3aqpHmQ/profile-displayphoto-shrink_400_400/B4DZSAzgP7HYAg-/0/1737327772964?e=1743638400&v=beta&t=39KOXMUFedvukiWWVPHf3qI45fuQD7lNglICwN31DrI
- name: Ishaan Jaffer
title: CTO, LiteLLM
url: https://www.linkedin.com/in/reffajnaahsi/
image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
tags: [mcp, custom_prompt_management]
hide_table_of_contents: false
---
import Image from '@theme/IdealImage';
LiteLLM v1.65.0 introduces significant enhancements including Model Context Protocol (MCP) tools, new models, and various performance improvements.
## Model Context Protocol (MCP)
This release introduces support for centrally adding MCP servers on LiteLLM. This allows you to add MCP server endpoints and your developers can `list` and `call` MCP tools through LiteLLM.
Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
<Image
img={require('../../img/release_notes/mcp_ui.png')}
style={{width: '100%', display: 'block', margin: '2rem auto'}}
/>
<p style={{textAlign: 'left', color: '#666'}}>
Expose and use MCP servers through LiteLLM
</p>
## Custom Prompt Management
This release allows you to connect LiteLLM to any prompt management service through our custom prompt management hooks. As proxy admin all you need to do is implement a `get_chat_completion_prompt` hook which accepts a prompt_id and prompt_variables and returns a formatted prompt.
Read more about custom prompt management [here](https://docs.litellm.ai/docs/proxy/custom_prompt_management).
<Image
img={require('../../img/custom_prompt_management.png')}
style={{width: '100%', display: 'block', margin: '2rem auto'}}
/>
<p style={{textAlign: 'left', color: '#666'}}>
Connect LiteLLM to your prompt management service through custom hooks
</p>
## Categorized Improvements and Fixes
### New Models / Updated Models
- Support for Vertex AI gemini-2.0-flash-lite & Google AI Studio gemini-2.0-flash-lite [PR](https://github.com/BerriAI/litellm/pull/9523)
- Support for Vertex AI Fine-Tuned LLMs [PR](https://github.com/BerriAI/litellm/pull/9542)
- Nova Canvas image generation support [PR](https://github.com/BerriAI/litellm/pull/9525)
- OpenAI gpt-4o-transcribe support [PR](https://github.com/BerriAI/litellm/pull/9517)
- Added new Vertex AI text embedding model [PR](https://github.com/BerriAI/litellm/pull/9476)
### LLM Translation
- OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
- Vertex AI topLogprobs support [PR](https://github.com/BerriAI/litellm/pull/9518)
- Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
- Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
- Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
### Spend Tracking Improvements
- Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
- Support for Gemini audio token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
- Fixed OpenAI audio input token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
### UI
#### Model Management
- Allowed team admins to add/update/delete models on UI [PR](https://github.com/BerriAI/litellm/pull/9572)
- Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
#### Request Logs
- Show API base and model ID on request logs [PR](https://github.com/BerriAI/litellm/pull/9572)
- Allow viewing keyinfo on request logs [PR](https://github.com/BerriAI/litellm/pull/9568)
#### Usage Tab
- Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
- Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
### Logging Integrations
- Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)
### Performance / Reliability Improvements
- LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
- Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
- Allow Pods to startup + passing /health/readiness when allow_requests_on_db_unavailable: True and DB is down [PR](https://github.com/BerriAI/litellm/pull/9569)
- Removed hard coded final usage chunk on Bedrock streaming usage [PR](https://github.com/BerriAI/litellm/pull/9512)
- Refactored Vertex AI passthrough routes - fixes unpredictable behaviour with auto-setting default_vertex_region on router model add [PR](https://github.com/BerriAI/litellm/pull/9467)
### General Improvements
- Support for exposing MCP tools on litellm proxy [PR](https://github.com/BerriAI/litellm/pull/9426)
- Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
- Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
- Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
- Get master key from environment, if not set [PR](https://github.com/BerriAI/litellm/pull/9617)
### Documentation
- Fixed Predibase typo [PR](https://github.com/BerriAI/litellm/pull/9464)
- Updated README.md [PR](https://github.com/BerriAI/litellm/pull/9616)
### Security
- Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)
## Complete Git Diff
[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)