litellm-mirror/docs/my-website/docs/proxy/alerting.md
2025-01-20 08:04:03 -08:00

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# Alerting / Webhooks
Get alerts for:
| Category | Alert Type |
|----------|------------|
| **LLM Performance** | Hanging API calls, Slow API calls, Failed API calls, Model outage alerting |
| **Budget & Spend** | Budget tracking per key/user, Soft budget alerts, Weekly & Monthly spend reports per Team/Tag |
| **System Health** | Failed database read/writes |
| **Daily Reports** | Top 5 slowest LLM deployments, Top 5 LLM deployments with most failed requests, Weekly & Monthly spend per Team/Tag |
Works across:
- [Slack](#quick-start)
- [Discord](#advanced---using-discord-webhooks)
- [Microsoft Teams](#advanced---using-ms-teams-webhooks)
## Quick Start
Set up a slack alert channel to receive alerts from proxy.
### Step 1: Add a Slack Webhook URL to env
Get a slack webhook url from https://api.slack.com/messaging/webhooks
You can also use Discord Webhooks, see [here](#using-discord-webhooks)
Set `SLACK_WEBHOOK_URL` in your proxy env to enable Slack alerts.
```bash
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/<>/<>/<>"
```
### Step 2: Setup Proxy
```yaml
general_settings:
alerting: ["slack"]
alerting_threshold: 300 # sends alerts if requests hang for 5min+ and responses take 5min+
spend_report_frequency: "1d" # [Optional] set as 1d, 2d, 30d .... Specify how often you want a Spend Report to be sent
# [OPTIONAL ALERTING ARGS]
alerting_args:
daily_report_frequency: 43200 # 12 hours in seconds
report_check_interval: 3600 # 1 hour in seconds
budget_alert_ttl: 86400 # 24 hours in seconds
outage_alert_ttl: 60 # 1 minute in seconds
region_outage_alert_ttl: 60 # 1 minute in seconds
minor_outage_alert_threshold: 5
major_outage_alert_threshold: 10
max_outage_alert_list_size: 1000
log_to_console: false
```
Start proxy
```bash
$ litellm --config /path/to/config.yaml
```
### Step 3: Test it!
```bash
curl -X GET 'http://0.0.0.0:4000/health/services?service=slack' \
-H 'Authorization: Bearer sk-1234'
```
## Advanced
### Redacting Messages from Alerts
By default alerts show the `messages/input` passed to the LLM. If you want to redact this from slack alerting set the following setting on your config
```shell
general_settings:
alerting: ["slack"]
alert_types: ["spend_reports"]
litellm_settings:
redact_messages_in_exceptions: True
```
### Soft Budget Alerts for Virtual Keys
Use this to send an alert when a key/team is close to it's budget running out
Step 1. Create a virtual key with a soft budget
Set the `soft_budget` to 0.001
```shell
curl -X 'POST' \
'http://localhost:4000/key/generate' \
-H 'accept: application/json' \
-H 'x-goog-api-key: sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"key_alias": "prod-app1",
"team_id": "113c1a22-e347-4506-bfb2-b320230ea414",
"soft_budget": 0.001
}'
```
Step 2. Send a request to the proxy with the virtual key
```shell
curl http://0.0.0.0:4000/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-Nb5eCf427iewOlbxXIH4Ow" \
-d '{
"model": "openai/gpt-4",
"messages": [
{
"role": "user",
"content": "this is a test request, write a short poem"
}
]
}'
```
Step 3. Check slack for Expected Alert
<Image img={require('../../img/soft_budget_alert.png')}/>
### Add Metadata to alerts
Add alerting metadata to proxy calls for debugging.
```python
import openai
client = openai.OpenAI(
api_key="anything",
base_url="http://0.0.0.0:4000"
)
# request sent to model set on litellm proxy, `litellm --model`
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages = [],
extra_body={
"metadata": {
"alerting_metadata": {
"hello": "world"
}
}
}
)
```
**Expected Response**
<Image img={require('../../img/alerting_metadata.png')}/>
### Select specific alert types
Set `alert_types` if you want to Opt into only specific alert types. When alert_types is not set, all Default Alert Types are enabled.
👉 [**See all alert types here**](#all-possible-alert-types)
```shell
general_settings:
alerting: ["slack"]
alert_types: [
"llm_exceptions",
"llm_too_slow",
"llm_requests_hanging",
"budget_alerts",
"spend_reports",
"db_exceptions",
"daily_reports",
"cooldown_deployment",
"new_model_added",
]
```
### Map slack channels to alert type
Use this if you want to set specific channels per alert type
**This allows you to do the following**
```
llm_exceptions -> go to slack channel #llm-exceptions
spend_reports -> go to slack channel #llm-spend-reports
```
Set `alert_to_webhook_url` on your config.yaml
<Tabs>
<TabItem label="1 channel per alert" value="1">
```yaml
model_list:
- model_name: gpt-4
litellm_params:
model: openai/fake
api_key: fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/
general_settings:
master_key: sk-1234
alerting: ["slack"]
alerting_threshold: 0.0001 # (Seconds) set an artifically low threshold for testing alerting
alert_to_webhook_url: {
"llm_exceptions": "https://hooks.slack.com/services/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",
"llm_too_slow": "https://hooks.slack.com/services/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",
"llm_requests_hanging": "https://hooks.slack.com/services/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",
"budget_alerts": "https://hooks.slack.com/services/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",
"db_exceptions": "https://hooks.slack.com/services/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",
"daily_reports": "https://hooks.slack.com/services/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",
"spend_reports": "https://hooks.slack.com/services/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",
"cooldown_deployment": "https://hooks.slack.com/services/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",
"new_model_added": "https://hooks.slack.com/services/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",
"outage_alerts": "https://hooks.slack.com/services/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",
}
litellm_settings:
success_callback: ["langfuse"]
```
</TabItem>
<TabItem label="multiple channels per alert" value="2">
Provide multiple slack channels for a given alert type
```yaml
model_list:
- model_name: gpt-4
litellm_params:
model: openai/fake
api_key: fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/
general_settings:
master_key: sk-1234
alerting: ["slack"]
alerting_threshold: 0.0001 # (Seconds) set an artifically low threshold for testing alerting
alert_to_webhook_url: {
"llm_exceptions": ["os.environ/SLACK_WEBHOOK_URL", "os.environ/SLACK_WEBHOOK_URL_2"],
"llm_too_slow": ["https://webhook.site/7843a980-a494-4967-80fb-d502dbc16886", "https://webhook.site/28cfb179-f4fb-4408-8129-729ff55cf213"],
"llm_requests_hanging": ["os.environ/SLACK_WEBHOOK_URL_5", "os.environ/SLACK_WEBHOOK_URL_6"],
"budget_alerts": ["os.environ/SLACK_WEBHOOK_URL_7", "os.environ/SLACK_WEBHOOK_URL_8"],
"db_exceptions": ["os.environ/SLACK_WEBHOOK_URL_9", "os.environ/SLACK_WEBHOOK_URL_10"],
"daily_reports": ["os.environ/SLACK_WEBHOOK_URL_11", "os.environ/SLACK_WEBHOOK_URL_12"],
"spend_reports": ["os.environ/SLACK_WEBHOOK_URL_13", "os.environ/SLACK_WEBHOOK_URL_14"],
"cooldown_deployment": ["os.environ/SLACK_WEBHOOK_URL_15", "os.environ/SLACK_WEBHOOK_URL_16"],
"new_model_added": ["os.environ/SLACK_WEBHOOK_URL_17", "os.environ/SLACK_WEBHOOK_URL_18"],
"outage_alerts": ["os.environ/SLACK_WEBHOOK_URL_19", "os.environ/SLACK_WEBHOOK_URL_20"],
}
litellm_settings:
success_callback: ["langfuse"]
```
</TabItem>
</Tabs>
Test it - send a valid llm request - expect to see a `llm_too_slow` alert in it's own slack channel
```shell
curl -i http://localhost:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "gpt-4",
"messages": [
{"role": "user", "content": "Hello, Claude gm!"}
]
}'
```
### MS Teams Webhooks
MS Teams provides a slack compatible webhook url that you can use for alerting
##### Quick Start
1. [Get a webhook url](https://learn.microsoft.com/en-us/microsoftteams/platform/webhooks-and-connectors/how-to/add-incoming-webhook?tabs=newteams%2Cdotnet#create-an-incoming-webhook) for your Microsoft Teams channel
2. Add it to your .env
```bash
SLACK_WEBHOOK_URL="https://berriai.webhook.office.com/webhookb2/...6901/IncomingWebhook/b55fa0c2a48647be8e6effedcd540266/e04b1092-4a3e-44a2-ab6b-29a0a4854d1d"
```
3. Add it to your litellm config
```yaml
model_list:
model_name: "azure-model"
litellm_params:
model: "azure/gpt-35-turbo"
api_key: "my-bad-key" # 👈 bad key
general_settings:
alerting: ["slack"]
alerting_threshold: 300 # sends alerts if requests hang for 5min+ and responses take 5min+
```
4. Run health check!
Call the proxy `/health/services` endpoint to test if your alerting connection is correctly setup.
```bash
curl --location 'http://0.0.0.0:4000/health/services?service=slack' \
--header 'Authorization: Bearer sk-1234'
```
**Expected Response**
<Image img={require('../../img/ms_teams_alerting.png')}/>
### Discord Webhooks
Discord provides a slack compatible webhook url that you can use for alerting
##### Quick Start
1. Get a webhook url for your discord channel
2. Append `/slack` to your discord webhook - it should look like
```
"https://discord.com/api/webhooks/1240030362193760286/cTLWt5ATn1gKmcy_982rl5xmYHsrM1IWJdmCL1AyOmU9JdQXazrp8L1_PYgUtgxj8x4f/slack"
```
3. Add it to your litellm config
```yaml
model_list:
model_name: "azure-model"
litellm_params:
model: "azure/gpt-35-turbo"
api_key: "my-bad-key" # 👈 bad key
general_settings:
alerting: ["slack"]
alerting_threshold: 300 # sends alerts if requests hang for 5min+ and responses take 5min+
environment_variables:
SLACK_WEBHOOK_URL: "https://discord.com/api/webhooks/1240030362193760286/cTLWt5ATn1gKmcy_982rl5xmYHsrM1IWJdmCL1AyOmU9JdQXazrp8L1_PYgUtgxj8x4f/slack"
```
## [BETA] Webhooks for Budget Alerts
**Note**: This is a beta feature, so the spec might change.
Set a webhook to get notified for budget alerts.
1. Setup config.yaml
Add url to your environment, for testing you can use a link from [here](https://webhook.site/)
```bash
export WEBHOOK_URL="https://webhook.site/6ab090e8-c55f-4a23-b075-3209f5c57906"
```
Add 'webhook' to config.yaml
```yaml
general_settings:
alerting: ["webhook"] # 👈 KEY CHANGE
```
2. Start proxy
```bash
litellm --config /path/to/config.yaml
# RUNNING on http://0.0.0.0:4000
```
3. Test it!
```bash
curl -X GET --location 'http://0.0.0.0:4000/health/services?service=webhook' \
--header 'Authorization: Bearer sk-1234'
```
**Expected Response**
```bash
{
"spend": 1, # the spend for the 'event_group'
"max_budget": 0, # the 'max_budget' set for the 'event_group'
"token": "88dc28d0f030c55ed4ab77ed8faf098196cb1c05df778539800c9f1243fe6b4b",
"user_id": "default_user_id",
"team_id": null,
"user_email": null,
"key_alias": null,
"projected_exceeded_data": null,
"projected_spend": null,
"event": "budget_crossed", # Literal["budget_crossed", "threshold_crossed", "projected_limit_exceeded"]
"event_group": "user",
"event_message": "User Budget: Budget Crossed"
}
```
### API Spec for Webhook Event
- `spend` *float*: The current spend amount for the 'event_group'.
- `max_budget` *float or null*: The maximum allowed budget for the 'event_group'. null if not set.
- `token` *str*: A hashed value of the key, used for authentication or identification purposes.
- `customer_id` *str or null*: The ID of the customer associated with the event (optional).
- `internal_user_id` *str or null*: The ID of the internal user associated with the event (optional).
- `team_id` *str or null*: The ID of the team associated with the event (optional).
- `user_email` *str or null*: The email of the internal user associated with the event (optional).
- `key_alias` *str or null*: An alias for the key associated with the event (optional).
- `projected_exceeded_date` *str or null*: The date when the budget is projected to be exceeded, returned when 'soft_budget' is set for key (optional).
- `projected_spend` *float or null*: The projected spend amount, returned when 'soft_budget' is set for key (optional).
- `event` *Literal["budget_crossed", "threshold_crossed", "projected_limit_exceeded"]*: The type of event that triggered the webhook. Possible values are:
* "spend_tracked": Emitted whenver spend is tracked for a customer id.
* "budget_crossed": Indicates that the spend has exceeded the max budget.
* "threshold_crossed": Indicates that spend has crossed a threshold (currently sent when 85% and 95% of budget is reached).
* "projected_limit_exceeded": For "key" only - Indicates that the projected spend is expected to exceed the soft budget threshold.
- `event_group` *Literal["customer", "internal_user", "key", "team", "proxy"]*: The group associated with the event. Possible values are:
* "customer": The event is related to a specific customer
* "internal_user": The event is related to a specific internal user.
* "key": The event is related to a specific key.
* "team": The event is related to a team.
* "proxy": The event is related to a proxy.
- `event_message` *str*: A human-readable description of the event.
## Region-outage alerting (✨ Enterprise feature)
:::info
[Get a free 2-week license](https://forms.gle/P518LXsAZ7PhXpDn8)
:::
Setup alerts if a provider region is having an outage.
```yaml
general_settings:
alerting: ["slack"]
alert_types: ["region_outage_alerts"]
```
By default this will trigger if multiple models in a region fail 5+ requests in 1 minute. '400' status code errors are not counted (i.e. BadRequestErrors).
Control thresholds with:
```yaml
general_settings:
alerting: ["slack"]
alert_types: ["region_outage_alerts"]
alerting_args:
region_outage_alert_ttl: 60 # time-window in seconds
minor_outage_alert_threshold: 5 # number of errors to trigger a minor alert
major_outage_alert_threshold: 10 # number of errors to trigger a major alert
```
## **All Possible Alert Types**
👉 [**Here is how you can set specific alert types**](#opting-into-specific-alert-types)
LLM-related Alerts
| Alert Type | Description | Default On |
|------------|-------------|---------|
| `llm_exceptions` | Alerts for LLM API exceptions | ✅ |
| `llm_too_slow` | Notifications for LLM responses slower than the set threshold | ✅ |
| `llm_requests_hanging` | Alerts for LLM requests that are not completing | ✅ |
| `cooldown_deployment` | Alerts when a deployment is put into cooldown | ✅ |
| `new_model_added` | Notifications when a new model is added to litellm proxy through /model/new| ✅ |
| `outage_alerts` | Alerts when a specific LLM deployment is facing an outage | ✅ |
| `region_outage_alerts` | Alerts when a specfic LLM region is facing an outage. Example us-east-1 | ✅ |
Budget and Spend Alerts
| Alert Type | Description | Default On|
|------------|-------------|---------|
| `budget_alerts` | Notifications related to budget limits or thresholds | ✅ |
| `spend_reports` | Periodic reports on spending across teams or tags | ✅ |
| `failed_tracking_spend` | Alerts when spend tracking fails | ✅ |
| `daily_reports` | Daily Spend reports | ✅ |
| `fallback_reports` | Weekly Reports on LLM fallback occurrences | ✅ |
Database Alerts
| Alert Type | Description | Default On |
|------------|-------------|---------|
| `db_exceptions` | Notifications for database-related exceptions | ✅ |
Management Endpoint Alerts - Virtual Key, Team, Internal User
| Alert Type | Description | Default On |
|------------|-------------|---------|
| `new_virtual_key_created` | Notifications when a new virtual key is created | ❌ |
| `virtual_key_updated` | Alerts when a virtual key is modified | ❌ |
| `virtual_key_deleted` | Notifications when a virtual key is removed | ❌ |
| `new_team_created` | Alerts for the creation of a new team | ❌ |
| `team_updated` | Notifications when team details are modified | ❌ |
| `team_deleted` | Alerts when a team is deleted | ❌ |
| `new_internal_user_created` | Notifications for new internal user accounts | ❌ |
| `internal_user_updated` | Alerts when an internal user's details are changed | ❌ |
| `internal_user_deleted` | Notifications when an internal user account is removed | ❌ |
## `alerting_args` Specification
| Parameter | Default | Description |
|-----------|---------|-------------|
| `daily_report_frequency` | 43200 (12 hours) | Frequency of receiving deployment latency/failure reports in seconds |
| `report_check_interval` | 3600 (1 hour) | How often to check if a report should be sent (background process) in seconds |
| `budget_alert_ttl` | 86400 (24 hours) | Cache TTL for budget alerts to prevent spam when budget is crossed |
| `outage_alert_ttl` | 60 (1 minute) | Time window for collecting model outage errors in seconds |
| `region_outage_alert_ttl` | 60 (1 minute) | Time window for collecting region-based outage errors in seconds |
| `minor_outage_alert_threshold` | 5 | Number of errors that trigger a minor outage alert (400 errors not counted) |
| `major_outage_alert_threshold` | 10 | Number of errors that trigger a major outage alert (400 errors not counted) |
| `max_outage_alert_list_size` | 1000 | Maximum number of errors to store in cache per model/region |
| `log_to_console` | false | If true, prints alerting payload to console as a `.warning` log. |