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Merge pull request #9643 from BerriAI/litellm_docs_stable_release_notes
[Docs - Release notes v0] v1.65.0-stable
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---
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title: v1.65.0-stable - Model Context Protocol
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slug: v1.65.0-stable
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date: 2025-03-30T10:00:00
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authors:
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- name: Krrish Dholakia
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title: CEO, LiteLLM
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url: https://www.linkedin.com/in/krish-d/
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image_url: https://media.licdn.com/dms/image/v2/D4D03AQGrlsJ3aqpHmQ/profile-displayphoto-shrink_400_400/B4DZSAzgP7HYAg-/0/1737327772964?e=1743638400&v=beta&t=39KOXMUFedvukiWWVPHf3qI45fuQD7lNglICwN31DrI
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- name: Ishaan Jaffer
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title: CTO, LiteLLM
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url: https://www.linkedin.com/in/reffajnaahsi/
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image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
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tags: [mcp, custom_prompt_management]
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hide_table_of_contents: false
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---
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import Image from '@theme/IdealImage';
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LiteLLM v1.65.0 introduces significant enhancements including Model Context Protocol (MCP) tools, new models, and various performance improvements.
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## Model Context Protocol (MCP)
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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.
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Read more about MCP [here](https://docs.litellm.ai/docs/mcp).
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<Image
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img={require('../../img/release_notes/mcp_ui.png')}
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style={{width: '100%', display: 'block', margin: '2rem auto'}}
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/>
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<p style={{textAlign: 'left', color: '#666'}}>
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Expose and use MCP servers through LiteLLM
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</p>
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## Custom Prompt Management
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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.
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Read more about custom prompt management [here](https://docs.litellm.ai/docs/proxy/custom_prompt_management).
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<Image
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img={require('../../img/custom_prompt_management.png')}
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style={{width: '100%', display: 'block', margin: '2rem auto'}}
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/>
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<p style={{textAlign: 'left', color: '#666'}}>
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Connect LiteLLM to your prompt management service through custom hooks
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</p>
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## Categorized Improvements and Fixes
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### New Models / Updated Models
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- 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)
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- Support for Vertex AI Fine-Tuned LLMs [PR](https://github.com/BerriAI/litellm/pull/9542)
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- Nova Canvas image generation support [PR](https://github.com/BerriAI/litellm/pull/9525)
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- OpenAI gpt-4o-transcribe support [PR](https://github.com/BerriAI/litellm/pull/9517)
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- Added new Vertex AI text embedding model [PR](https://github.com/BerriAI/litellm/pull/9476)
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### LLM Translation
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- OpenAI Web Search Tool Call Support [PR](https://github.com/BerriAI/litellm/pull/9465)
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- Vertex AI topLogprobs support [PR](https://github.com/BerriAI/litellm/pull/9518)
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- Fixed Vertex AI multimodal embedding translation [PR](https://github.com/BerriAI/litellm/pull/9471)
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- Support litellm.api_base for Vertex AI + Gemini across completion, embedding, image_generation [PR](https://github.com/BerriAI/litellm/pull/9516)
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- Fixed Mistral chat transformation [PR](https://github.com/BerriAI/litellm/pull/9606)
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### Spend Tracking Improvements
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- Log 'api_base' on spend logs [PR](https://github.com/BerriAI/litellm/pull/9509)
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- Support for Gemini audio token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
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- Fixed OpenAI audio input token cost tracking [PR](https://github.com/BerriAI/litellm/pull/9535)
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### UI
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#### Model Management
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- Allowed team admins to add/update/delete models on UI [PR](https://github.com/BerriAI/litellm/pull/9572)
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- Added render supports_web_search on model hub [PR](https://github.com/BerriAI/litellm/pull/9469)
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#### Request Logs
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- Show API base and model ID on request logs [PR](https://github.com/BerriAI/litellm/pull/9572)
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- Allow viewing keyinfo on request logs [PR](https://github.com/BerriAI/litellm/pull/9568)
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#### Usage Tab
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- Added Daily User Spend Aggregate view - allows UI Usage tab to work > 1m rows [PR](https://github.com/BerriAI/litellm/pull/9538)
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- Connected UI to "LiteLLM_DailyUserSpend" spend table [PR](https://github.com/BerriAI/litellm/pull/9603)
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### Logging Integrations
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- Fixed StandardLoggingPayload for GCS Pub Sub Logging Integration [PR](https://github.com/BerriAI/litellm/pull/9508)
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### Performance / Reliability Improvements
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- LiteLLM Redis semantic caching implementation [PR](https://github.com/BerriAI/litellm/pull/9356)
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- Gracefully handle exceptions when DB is having an outage [PR](https://github.com/BerriAI/litellm/pull/9533)
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- 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)
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- Removed hard coded final usage chunk on Bedrock streaming usage [PR](https://github.com/BerriAI/litellm/pull/9512)
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- 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)
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### General Improvements
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- Support for exposing MCP tools on litellm proxy [PR](https://github.com/BerriAI/litellm/pull/9426)
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- Support discovering Gemini, Anthropic, xAI models by calling their /v1/model endpoint [PR](https://github.com/BerriAI/litellm/pull/9530)
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- Fixed route check for non-proxy admins on JWT auth [PR](https://github.com/BerriAI/litellm/pull/9454)
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- Added baseline Prisma database migrations [PR](https://github.com/BerriAI/litellm/pull/9565)
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- Get master key from environment, if not set [PR](https://github.com/BerriAI/litellm/pull/9617)
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### Documentation
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- Fixed Predibase typo [PR](https://github.com/BerriAI/litellm/pull/9464)
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- Updated README.md [PR](https://github.com/BerriAI/litellm/pull/9616)
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### Security
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- Bumped next from 14.2.21 to 14.2.25 in UI dashboard [PR](https://github.com/BerriAI/litellm/pull/9458)
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## Complete Git Diff
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[Here's the complete git diff](https://github.com/BerriAI/litellm/compare/v1.63.14-stable.patch1...v1.65.0-stable)
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