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docs complete release note

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docs/my-website/release_notes/v1.69.0-stable/index.md
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@ -58,8 +58,6 @@ This new release brings support for:
- Support for SMTP servers or Resend for sending emails.
## New Models / Updated Models
- **Gemini ([VertexAI](https://docs.litellm.ai/docs/providers/vertex#usage-with-litellm-proxy-server) + [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini))**
- Added `gemini-2.5-pro-preview-05-06` models with pricing and context window info - [PR](https://github.com/BerriAI/litellm/pull/10597)
@ -67,6 +65,8 @@ This new release brings support for:
- **[Perplexity](../../docs/providers/perplexity)**:
- Added new Perplexity models - [PR](https://github.com/BerriAI/litellm/pull/10652)
- Added sonar-deep-research model pricing - [PR](https://github.com/BerriAI/litellm/pull/10537)
- **[Azure OpenAI](../../docs/providers/azure)**:
- Fixed passing through of azure_ad_token_provider parameter - [PR](https://github.com/BerriAI/litellm/pull/10694)
- **[Azure AI Foundry](../../docs/providers/azure_ai)**:
- Added cost tracking for the following models [PR](https://github.com/BerriAI/litellm/pull/9956)
- DeepSeek V3 0324
@ -78,6 +78,8 @@ This new release brings support for:
- Added support for using Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10681)
- Added streaming support for Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10710)
- **[OpenAI](../../docs/providers/openai)**: Added `reasoning_effort` support for `o3` models - [PR](https://github.com/BerriAI/litellm/pull/10591)
- **[Databricks](../../docs/providers/databricks)**:
- Fixed issue when Databricks uses external model and delta could be empty - [PR](https://github.com/BerriAI/litellm/pull/10540)
- **[Cerebras](../../docs/providers/cerebras)**: Fixed Llama-3.1-70b model pricing and context window - [PR](https://github.com/BerriAI/litellm/pull/10648)
- **[Ollama](../../docs/providers/ollama)**:
- Fixed custom price cost tracking and added 'max_completion_token' support - [PR](https://github.com/BerriAI/litellm/pull/10636)
@ -86,12 +88,20 @@ This new release brings support for:
- Added support for chat, image generation endpoints - [PR](https://github.com/BerriAI/litellm/pull/10638)
## LLM API Endpoints
- 🆕 **[Messages API](../../docs/anthropic_unified)**:
- Added support for using Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10681) and streaming support - [PR](https://github.com/BerriAI/litellm/pull/10710)
- **[Messages API](../../docs/anthropic_unified)**:
- 🆕 Added support for using Bedrock Anthropic models with /v1/messages format - [PR](https://github.com/BerriAI/litellm/pull/10681) and streaming support - [PR](https://github.com/BerriAI/litellm/pull/10710)
- **[Moderations API](../../docs/moderations)**:
- Fixed bug to allow using LiteLLM UI credentials for /moderations API - [PR](https://github.com/BerriAI/litellm/pull/10723)
- **[Realtime API](../../docs/realtime)**:
- Fixed setting 'headers' in scope for websocket auth requests and infinite loop issues - [PR](https://github.com/BerriAI/litellm/pull/10679)
- **[Files API](../../docs/proxy/litellm_managed_files)**:
- Unified File ID output support - [PR](https://github.com/BerriAI/litellm/pull/10713)
- Support for writing files to all deployments - [PR](https://github.com/BerriAI/litellm/pull/10708)
- Added target model name validation - [PR](https://github.com/BerriAI/litellm/pull/10722)
- **[Batches API](../../docs/batches)**:
- Complete unified batch ID support - replacing model in jsonl to be deployment model name - [PR](https://github.com/BerriAI/litellm/pull/10719)
- Beta support for unified file ID (managed files) for batches - [PR](https://github.com/BerriAI/litellm/pull/10650)
## Spend Tracking / Budget Improvements
- Bug Fix - PostgreSQL Integer Overflow Error in DB Spend Tracking - [PR](https://github.com/BerriAI/litellm/pull/10697)
@ -124,18 +134,11 @@ This new release brings support for:
- **Caching**:
- Fixed embedding string caching result - [PR](https://github.com/BerriAI/litellm/pull/10700)
- Fixed cache miss for Gemini models with response_format - [PR](https://github.com/BerriAI/litellm/pull/10635)
- **Azure**:
- Fixed passing through of azure_ad_token_provider parameter - [PR](https://github.com/BerriAI/litellm/pull/10694)
- **Databricks**:
- Fixed issue when Databricks uses external model and delta could be empty - [PR](https://github.com/BerriAI/litellm/pull/10540)
## General Proxy Improvements
- **CLI**:
- **Proxy CLI**:
- Added `--version` flag to `litellm-proxy` CLI - [PR](https://github.com/BerriAI/litellm/pull/10704)
- Added dedicated `litellm-proxy` CLI - [PR](https://github.com/BerriAI/litellm/pull/10578)
- **Enterprise**:
- Refactored to use pip package for enterprise folder - [PR](https://github.com/BerriAI/litellm/pull/10709)
- Added MCP Server DB Schema - [PR](https://github.com/BerriAI/litellm/pull/10641)
- **Alerting**:
- Fixed Slack alerting not working when using a DB - [PR](https://github.com/BerriAI/litellm/pull/10370)
- **Email Invites**:
@ -146,16 +149,6 @@ This new release brings support for:
- Fixed bug where duplicate JSON logs were getting emitted - [PR](https://github.com/BerriAI/litellm/pull/10580)
- **File Processing**:
- Unified File ID output support - [PR](https://github.com/BerriAI/litellm/pull/10713)
- Support for writing files to all deployments - [PR](https://github.com/BerriAI/litellm/pull/10708)
- Complete unified batch ID support - replacing model in jsonl to be deployment model name - [PR](https://github.com/BerriAI/litellm/pull/10719)
- Beta support for unified file ID (managed files) for batches - [PR](https://github.com/BerriAI/litellm/pull/10650)
- **Model Validation**:
- Added target model name validation - [PR](https://github.com/BerriAI/litellm/pull/10722)
## New Contributors
- [@zoltan-ongithub](https://github.com/zoltan-ongithub) made their first contribution in [PR #10568](https://github.com/BerriAI/litellm/pull/10568)
- [@mkavinkumar1](https://github.com/mkavinkumar1) made their first contribution in [PR #10548](https://github.com/BerriAI/litellm/pull/10548)