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🚨 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

general_settings:
  alerting: ["slack"]
  alert_types: ["spend_reports"]

All Possible Alert Types

AlertType = Literal[
    "llm_exceptions",        # LLM API Exceptions
    "llm_too_slow",          # LLM Responses slower than alerting_threshold
    "llm_requests_hanging",
    "budget_alerts",
    "db_exceptions",
    "daily_reports",
    "spend_reports",
    "fallback_reports",
    "cooldown_deployment",
    "new_model_added",
    "outage_alerts",
]

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

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"]

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​

  1. Get a webhook url for your Microsoft Teams channel

  2. Add it to your .env

SLACK_WEBHOOK_URL="https://berriai.webhook.office.com/webhookb2/...6901/IncomingWebhook/b55fa0c2a48647be8e6effedcd540266/e04b1092-4a3e-44a2-ab6b-29a0a4854d1d"
  1. 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+
  1. 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​

  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"
  1. 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.

  1. 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
  1. Start proxy
litellm --config /path/to/config.yaml

# RUNNING on http://0.0.0.0:4000
  1. 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)​

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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