docs(rules.md): adding rules to docs

docs/my-website/docs/rules.md

@@ -0,0 +1,89 @@
+# Rules
+
+Use this to fail a request based on the input or output of an llm api call. 
+
+
+```python
+import litellm 
+import os 
+
+# set env vars 
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+os.environ["OPENROUTER_API_KEY"] = "your-api-key"
+
+def my_custom_rule(input): # receives the model response 
+    if "i don't think i can answer" in input: # trigger fallback if the model refuses to answer 
+        return False 
+    return True 
+
+litellm.post_call_rules = [my_custom_rule] # have these be functions that can be called to fail a call
+
+response = litellm.completion(model="gpt-3.5-turbo", messages=[{"role": "user", 
+"content": "Hey, how's it going?"}], fallbacks=["openrouter/gryphe/mythomax-l2-13b"])
+```
+
+## Available Endpoints 
+
+* `litellm.pre_call_rules = []` - A list of functions to iterate over before making the api call. Each function is expected to return either True (allow call) or False (fail call).
+
+* `litellm.post_call_rules = []` - List of functions to iterate over before making the api call. Each function is expected to return either True (allow call) or False (fail call).
+
+
+## Expected format of rule 
+
+```python
+def my_custom_rule(input: str) -> bool: # receives the model response 
+    if "i don't think i can answer" in input: # trigger fallback if the model refuses to answer 
+        return False 
+    return True 
+```
+
+#### Inputs
+* `input`: *str*: The user input or llm response. 
+
+#### Outputs
+* `bool`: Return True (allow call) or False (fail call)
+
+
+## Example Rules 
+
+### Example 1: Fail if user input is too long 
+
+```python
+import litellm 
+import os 
+
+# set env vars 
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+
+def my_custom_rule(input): # receives the model response 
+    if len(input) > 10: # fail call if too long
+        return False 
+    return True 
+
+litellm.pre_call_rules = [my_custom_rule] # have these be functions that can be called to fail a call
+
+response = litellm.completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey, how's it going?"}])
+```
+
+### Example 2: Fallback to uncensored model if llm refuses to answer
+
+
+```python
+import litellm 
+import os 
+
+# set env vars 
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+os.environ["OPENROUTER_API_KEY"] = "your-api-key"
+
+def my_custom_rule(input): # receives the model response 
+    if "i don't think i can answer" in input: # trigger fallback if the model refuses to answer 
+        return False 
+    return True 
+
+litellm.post_call_rules = [my_custom_rule] # have these be functions that can be called to fail a call
+
+response = litellm.completion(model="gpt-3.5-turbo", messages=[{"role": "user", 
+"content": "Hey, how's it going?"}], fallbacks=["openrouter/gryphe/mythomax-l2-13b"])
+```

docs/my-website/sidebars.js

@@ -85,8 +85,8 @@ const sidebars = {
       ]
     },
     "simple_proxy",
-    "budget_manager",
     "routing",
+    "rules",
     "set_keys",
     "completion/token_usage",
     {
@@ -157,6 +157,7 @@ const sidebars = {
       label: 'Extras',
       items: [
         'extras/contributing',
+        "budget_manager",
         "proxy_server",
         {
           type: "category",