docs(index.md): add key highlights to docs

docs/my-website/release_notes/v1.68.0-stable/index.md

@@ -41,7 +41,16 @@ pip install litellm==1.68.0.post1
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-## Bedrock Vector Stores
+## Key Highlights
+
+LiteLLM v1.68.0-stable will be live soon. Here are the key highlights of this release:
+
+- **Bedrock Knowledge Base**: You can now call query your Bedrock Knowledge Base with all LiteLLM models via `/chat/completion` or `/responses` API.
+- **Rate Limits**: This release brings accurate rate limiting across multiple instances, reducing spillover to at most 10 additional requests in high traffic. 
+- **Meta Llama API**: Added support for Meta Llama API [Get Started](https://docs.litellm.ai/docs/providers/meta_llama)
+- **LlamaFile**: Added support for LlamaFile [Get Started](https://docs.litellm.ai/docs/providers/llamafile)
+
+## Bedrock Knowledge Base (Vector Store)
 
 <Image img={require('../../img/release_notes/bedrock_kb.png')}/>
 <br/>
@@ -57,6 +66,24 @@ For the next release we plan on allowing you to set key, user, team, org permiss
 
 [Read more here](https://docs.litellm.ai/docs/completion/knowledgebase)
 
+## Rate Limiting
+
+This release brings accurate multi-instance rate limiting across keys/users/teams. Outlining key engineering changes below:
+
+- **Change**: Instances now increment cache value instead of setting it. To avoid calling Redis on each request, this is synced every 0.01s.
+- **Accuracy**: In testing, we saw a maximum spill over from expected of 10 requests, in high traffic (100 RPS, 3 instances), vs. current 189 request spillover
+- **Performance**: Our load tests show this to reduce median response time by 100ms in high traffic 
+
+This is currently behind a feature flag, and we plan to have this be the default by next week. To enable this today, just add this environment variable:
+
+```
+export LITELLM_RATE_LIMIT_ACCURACY=true
+```
+
+[Read more here](../../docs/proxy/users#beta-multi-instance-rate-limiting) 
+
+
+
 ## 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))**
     - Handle more json schema - openapi schema conversion edge cases [PR](https://github.com/BerriAI/litellm/pull/10351)