docs: adds redis url to router + proxy docs

docs/my-website/docs/caching/redis_cache.md

@@ -1,11 +1,14 @@
 # Redis Cache
+
+[**See Code**](https://github.com/BerriAI/litellm/blob/4d7ff1b33b9991dcf38d821266290631d9bcd2dd/litellm/caching.py#L71)
+
 ### Pre-requisites
 Install redis
 ```
 pip install redis
 ```
 For the hosted version you can setup your own Redis DB here: https://app.redislabs.com/
-### Usage
+### Quick Start
 ```python
 import litellm
 from litellm import completion
@@ -55,6 +58,11 @@ litellm.cache = cache # set litellm.cache to your cache
 ### Detecting Cached Responses
 For resposes that were returned as cache hit, the response includes a param `cache` = True 
 
+:::info
+
+Only valid for OpenAI <= 0.28.1 [Let us know if you still need this](https://github.com/BerriAI/litellm/issues/new?assignees=&labels=bug&projects=&template=bug_report.yml&title=%5BBug%5D%3A+)
+:::
+
 Example response with cache hit
 ```python
 {

docs/my-website/docs/proxy/caching.md

@@ -12,17 +12,27 @@ model_list:
 litellm_settings:
   set_verbose: True
   cache:          # init cache
-    type: redis   # tell litellm to use redis caching
+    type: redis   # tell litellm to use redis caching (Also: `pip install redis`)
 ```
 
 #### Step 2: Add Redis Credentials to .env
-LiteLLM requires the following REDIS credentials in your env to enable caching
+Set either `REDIS_URL` or the `REDIS_HOST` in your os environment, to enable caching.
 
   ```shell
+  REDIS_URL = ""        # REDIS_URL='redis://username:password@hostname:port/database'
+  ## OR ## 
   REDIS_HOST = ""       # REDIS_HOST='redis-18841.c274.us-east-1-3.ec2.cloud.redislabs.com'
   REDIS_PORT = ""       # REDIS_PORT='18841'
   REDIS_PASSWORD = ""   # REDIS_PASSWORD='liteLlmIsAmazing'
   ```
+
+**Additional kwargs**  
+You can pass in any additional redis.Redis arg, by storing the variable + value in your os environment, like this: 
+```shell
+REDIS_<redis-kwarg-name> = ""
+``` 
+
+[**See how it's read from the environment**](https://github.com/BerriAI/litellm/blob/4d7ff1b33b9991dcf38d821266290631d9bcd2dd/litellm/_redis.py#L40)
 #### Step 3: Run proxy with config
 ```shell
 $ litellm --config /path/to/config.yaml

docs/my-website/docs/routing.md

@@ -356,6 +356,16 @@ router = Router(model_list=model_list,
 
 print(response)
 ```
+
+**Pass in Redis URL, additional kwargs** 
+```python 
+router = Router(model_list: Optional[list] = None,
+                 ## CACHING ## 
+                 redis_url=os.getenv("REDIS_URL")",
+				 cache_kwargs= {}, # additional kwargs to pass to RedisCache (see caching.py)
+				 cache_responses=True)
+```
+
 #### Default litellm.completion/embedding params
 
 You can also set default params for litellm completion/embedding calls. Here's how to do that: 

litellm/tests/test_caching.py

@@ -36,7 +36,7 @@ def test_caching_v2(): # test in memory cache
         print(f"error occurred: {traceback.format_exc()}")
         pytest.fail(f"Error occurred: {e}")
 
-# test_caching_v2()
+test_caching_v2()