litellm/docs/my-website/docs/proxy/rules.md
2024-03-08 21:59:00 -08:00

61 lines
No EOL
1.3 KiB
Markdown

# Post-Call Rules
Use this to fail a request based on the output of an llm api call.
## Quick Start
### Step 1: Create a file (e.g. post_call_rules.py)
```python
def my_custom_rule(input): # receives the model response
if len(input) < 5:
return {
"decision": False,
"message": "This violates LiteLLM Proxy Rules. Response too short"
}
return {"decision": True} # message not required since, request will pass
```
### Step 2. Point it to your proxy
```python
litellm_settings:
post_call_rules: post_call_rules.my_custom_rule
```
### Step 3. Start + test your proxy
```bash
$ litellm /path/to/config.yaml
```
```bash
curl --location 'http://0.0.0.0:4000/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-1234' \
--data '{
"model": "gpt-3.5-turbo",
"messages": [{"role":"user","content":"What llm are you?"}],
"temperature": 0.7,
"max_tokens": 10,
}'
```
---
This will now check if a response is > len 5, and if it fails, it'll retry a call 3 times before failing.
### Response that fail the rule
This is the response from LiteLLM Proxy on failing a rule
```json
{
"error":
{
"message":"This violates LiteLLM Proxy Rules. Response too short",
"type":null,
"param":null,
"code":500
}
}
```