🚨 Alerting / Webhooks
Get alerts for:
- Hanging LLM api calls
- Slow LLM api calls
- Failed LLM api calls
- Budget Tracking per key/user
- Spend Reports - Weekly & Monthly spend per Team, Tag
- Failed db read/writes
- Model outage alerting
- Daily Reports:
- LLM Top 5 slowest deployments
- LLM Top 5 deployments with most failed requests
- Spend Weekly & Monthly spend per Team, Tag
Works across:
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
Set SLACK_WEBHOOK_URL
in your proxy env to enable Slack alerts.
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/<>/<>/<>"
Step 2: Setup Proxy
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 .... Specifiy how often you want a Spend Report to be sent
Start proxy
$ litellm --config /path/to/config.yaml
Step 3: Test it!
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
general_settings:
alerting: ["slack"]
alert_types: ["spend_reports"]
litellm_settings:
redact_messages_in_exceptions: True
Add Metadata to alerts
Add alerting metadata to proxy calls for debugging.
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
Opting into 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.
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",
]
Set specific slack channels per 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
- 1 channel per alert
- multiple channels per alert
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"]
Provide multiple slack channels for a given alert type
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"]
Test it - send a valid llm request - expect to see a llm_too_slow
alert in it's own slack channel
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!"}
]
}'
Using MS Teams Webhooks
MS Teams provides a slack compatible webhook url that you can use for alerting
Quick Start
Get a webhook url for your Microsoft Teams channel
Add it to your .env
SLACK_WEBHOOK_URL="https://berriai.webhook.office.com/webhookb2/...6901/IncomingWebhook/b55fa0c2a48647be8e6effedcd540266/e04b1092-4a3e-44a2-ab6b-29a0a4854d1d"
- Add it to your litellm config
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+
- Run health check!
Call the proxy /health/services
endpoint to test if your alerting connection is correctly setup.
curl --location 'http://0.0.0.0:4000/health/services?service=slack' \
--header 'Authorization: Bearer sk-1234'
Expected Response
Using Discord Webhooks
Discord provides a slack compatible webhook url that you can use for alerting
Quick Start
Get a webhook url for your discord channel
Append
/slack
to your discord webhook - it should look like
"https://discord.com/api/webhooks/1240030362193760286/cTLWt5ATn1gKmcy_982rl5xmYHsrM1IWJdmCL1AyOmU9JdQXazrp8L1_PYgUtgxj8x4f/slack"
- Add it to your litellm config
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.
- Setup config.yaml
Add url to your environment, for testing you can use a link from here
export WEBHOOK_URL="https://webhook.site/6ab090e8-c55f-4a23-b075-3209f5c57906"
Add 'webhook' to config.yaml
general_settings:
alerting: ["webhook"] # 👈 KEY CHANGE
- Start proxy
litellm --config /path/to/config.yaml
# RUNNING on http://0.0.0.0:4000
- Test it!
curl -X GET --location 'http://0.0.0.0:4000/health/services?service=webhook' \
--header 'Authorization: Bearer sk-1234'
Expected Response
{
"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)
Setup alerts if a provider region is having an outage.
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:
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
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 | ❌ |