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2459 Customers 9aa574b8
ASecurityTrack spend, set budgets and permissions for your customers.
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- Added October 11, 2026
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[](https://www.skillsdirectory.com/skills/tools-only-2459-customers-9aa574b8)import Image from '@theme/IdealImage';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
# Customers / End-Users
Track spend, set budgets and permissions for your customers.
## Tracking Customer Spend + Permissions
### 1. Make LLM API call w/ Customer ID
LiteLLM checks for a customer/end-user ID in the following order (first match wins):
| Priority | Method | Where | Notes |
|----------|--------|-------|-------|
| 1 | `x-litellm-customer-id` header | Request headers | Standard header, always checked |
| 2 | `x-litellm-end-user-id` header | Request headers | Standard header, always checked |
| 3 | Custom header via `user_header_mappings` | Request headers | Configured in `general_settings` |
| 4 | Custom header via `user_header_name` | Request headers | Deprecated β use `user_header_mappings` |
| 5 | `user` field | Request body | Standard OpenAI field |
| 6 | `litellm_metadata.user` field | Request body | Anthropic-style metadata |
| 7 | `metadata.user_id` field | Request body | Generic metadata pattern |
| 8 | `safety_identifier` field | Request body | Responses API |
**Option 1: Standard headers** (recommended β no request body modification needed)
```bash showLineNumbers title="Make request with customer ID in header"
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-1234' \
--header 'x-litellm-end-user-id: ishaan3' \
--data '{
"model": "azure-gpt-3.5",
"messages": [{"role": "user", "content": "what time is it"}]
}'
```
Both `x-litellm-customer-id` and `x-litellm-end-user-id` are supported and always checked without any configuration.
**Option 2: `user` field in request body** (OpenAI-compatible)
```bash showLineNumbers title="Make request with customer ID in body"
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-1234' \
--data '{
"model": "azure-gpt-3.5",
"user": "ishaan3",
"messages": [{"role": "user", "content": "what time is it"}]
}'
```
**Option 3: Custom header via `user_header_mappings`** (configurable)
```yaml showLineNumbers title="config.yaml"
general_settings:
user_header_mappings:
- header_name: "x-my-app-user-id"
litellm_user_role: "customer"
```
```bash showLineNumbers title="Make request with custom header"
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-1234' \
--header 'x-my-app-user-id: ishaan3' \
--data '{
"model": "azure-gpt-3.5",
"messages": [{"role": "user", "content": "what time is it"}]
}'
```
**Option 4: `litellm_metadata.user`** (Anthropic-style)
```bash showLineNumbers title="Make request with litellm_metadata.user"
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-1234' \
--data '{
"model": "claude-3-5-sonnet",
"messages": [{"role": "user", "content": "what time is it"}],
"litellm_metadata": {"user": "ishaan3"}
}'
```
**Option 5: `metadata.user_id`**
```bash showLineNumbers title="Make request with metadata.user_id"
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-1234' \
--data '{
"model": "azure-gpt-3.5",
"messages": [{"role": "user", "content": "what time is it"}],
"metadata": {"user_id": "ishaan3"}
}'
```
The customer_id will be upserted into the DB with the new spend.
If the customer_id already exists, spend will be incremented.
### 2. Get Customer Spend
<Tabs>
<TabItem value="all-up" label="All-up spend">
Call `/customer/info` to get a customer's all up spend
```bash showLineNumbers title="Get customer spend"
curl -X GET 'http://0.0.0.0:4000/customer/info?end_user_id=ishaan3' \ # π CUSTOMER ID
-H 'Authorization: Bearer sk-1234' \ # π YOUR PROXY KEY
```
Expected Response:
```json showLineNumbers title="Response"
{
"user_id": "ishaan3",
"blocked": false,
"alias": null,
"spend": 0.001413,
"allowed_model_region": null,
"default_model": null,
"litellm_budget_table": null
}
```
</TabItem>
<TabItem value="event-webhook" label="Event Webhook">
To update spend in your client-side DB, point the proxy to your webhook.
E.g. if your server is `https://webhook.site` and your listening on `6ab090e8-c55f-4a23-b075-3209f5c57906`
1. Add webhook url to your proxy environment:
```bash showLineNumbers title="Set webhook URL"
export WEBHOOK_URL="https://webhook.site/6ab090e8-c55f-4a23-b075-3209f5c57906"
```
2. Add 'webhook' to config.yaml
```yaml showLineNumbers title="config.yaml"
general_settings:
alerting: ["webhook"] # π KEY CHANGE
```
3. Test it!
```bash showLineNumbers title="Test webhook"
curl -X POST 'http://localhost:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-D '{
"model": "mistral",
"messages": [
{
"role": "user",
"content": "What's the weather like in Boston today?"
}
],
"user": "krrish12"
}
'
```
Expected Response
```json showLineNumbers title="Webhook event payload"
{
"spend": 0.0011120000000000001, # π SPEND
"max_budget": null,
"token": "example-api-key-123",
"customer_id": "krrish12", # π CUSTOMER ID
"user_id": null,
"team_id": null,
"user_email": null,
"key_alias": null,
"projected_exceeded_date": null,
"projected_spend": null,
"event": "spend_tracked",
"event_group": "customer",
"event_message": "Customer spend tracked. Customer=krrish12, spend=0.0011120000000000001"
}
```
[See Webhook Spec](./alerting.md#api-spec-for-webhook-event)
</TabItem>
</Tabs>
## Setting Customer Object Permissions
Control which resources (MCP servers, vector stores, agents) a customer can access.
### What are Object Permissions?
Object permissions allow you to restrict customer access to specific:
- **MCP Servers**: Limit which MCP servers the customer can call
- **MCP Access Groups**: Assign customers to predefined groups of MCP servers
- **MCP Tool Permissions**: Granular control over which tools within an MCP server the customer can use
- **Vector Stores**: Control which vector stores the customer can query
- **Agents**: Restrict which agents the customer can interact with
- **Agent Access Groups**: Assign customers to predefined groups of agents
### Creating a Customer with Object Permissions
```bash showLineNumbers title="Create customer with object permissions"
curl -L -X POST 'http://localhost:4000/customer/new' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"user_id": "user_1",
"object_permission": {
"mcp_servers": ["server_1", "server_2"],
"mcp_access_groups": ["public_group"],
"mcp_tool_permissions": {
"server_1": ["tool_a", "tool_b"]
},
"vector_stores": ["vector_store_1"],
"agents": ["agent_1"],
"agent_access_groups": ["basic_agents"]
}
}'
```
**Parameters:**
- `mcp_servers` (Optional[List[str]]): List of allowed MCP server IDs
- `mcp_access_groups` (Optional[List[str]]): List of MCP access group names
- `mcp_tool_permissions` (Optional[Dict[str, List[str]]]): Map of server ID to allowed tool names
- `vector_stores` (Optional[List[str]]): List of allowed vector store IDs
- `agents` (Optional[List[str]]): List of allowed agent IDs
- `agent_access_groups` (Optional[List[str]]): List of agent access group names
**Note:** If `object_permission` is `null` or `{}`, the customer has no object-level restrictions.
### Updating Customer Object Permissions
You can update object permissions for existing customers:
```bash showLineNumbers title="Update customer object permissions"
curl -L -X POST 'http://localhost:4000/customer/update' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"user_id": "user_1",
"object_permission": {
"mcp_servers": ["server_3"],
"vector_stores": ["vector_store_2", "vector_store_3"]
}
}'
```
### Viewing Customer Object Permissions
When you query customer info, object permissions are included in the response:
```bash showLineNumbers title="Get customer info with object permissions"
curl -X GET 'http://0.0.0.0:4000/customer/info?end_user_id=user_1' \
-H 'Authorization: Bearer sk-1234'
```
**Response:**
```json showLineNumbers title="Response with object permissions"
{
"user_id": "user_1",
"blocked": false,
"alias": "John Doe",
"spend": 0.0,
"object_permission": {
"object_permission_id": "perm_abc123",
"mcp_servers": ["server_1", "server_2"],
"mcp_access_groups": ["public_group"],
"mcp_tool_permissions": {
"server_1": ["tool_a", "tool_b"]
},
"vector_stores": ["vector_store_1"],
"agents": ["agent_1"],
"agent_access_groups": ["basic_agents"]
},
"litellm_budget_table": null
}
```
### Use Cases
**1. Tiered Access Control**
Create different permission tiers for your customers:
```bash showLineNumbers title="Free tier customer"
# Free tier - limited access
curl -L -X POST 'http://localhost:4000/customer/new' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"user_id": "free_user",
"budget_id": "free_tier",
"object_permission": {
"mcp_access_groups": ["public_group"],
"agent_access_groups": ["basic_agents"]
}
}'
```
```bash showLineNumbers title="Premium tier customer"
# Premium tier - full access
curl -L -X POST 'http://localhost:4000/customer/new' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"user_id": "premium_user",
"budget_id": "premium_tier",
"object_permission": {
"mcp_servers": ["server_1", "server_2", "server_3"],
"vector_stores": ["vector_store_1", "vector_store_2"],
"agents": ["agent_1", "agent_2", "agent_3"]
}
}'
```
**2. Department-Specific Access**
Restrict customers to resources relevant to their department:
```bash showLineNumbers title="Sales team customer"
curl -L -X POST 'http://localhost:4000/customer/new' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"user_id": "sales_user",
"object_permission": {
"mcp_servers": ["crm_server", "email_server"],
"agents": ["sales_assistant"],
"vector_stores": ["sales_knowledge_base"]
}
}'
```
**3. Tool-Level Restrictions**
Grant access to specific tools within an MCP server:
```bash showLineNumbers title="Limited tool access"
curl -L -X POST 'http://localhost:4000/customer/new' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
"user_id": "restricted_user",
"object_permission": {
"mcp_servers": ["database_server"],
"mcp_tool_permissions": {
"database_server": ["read_only_query", "get_table_schema"]
}
}
}'
```
## Setting Customer Budgets
Set customer budgets (e.g. monthly budgets, tpm/rpm limits) on LiteLLM Proxy
### Default Budget for All Customers
Apply budget limits to all customers without explicit budgets. This is useful for rate limiting and spending controls across all end users.
**Step 1: Create a default budget**
```bash showLineNumbers title="Create default budget"
curl -X POST 'http://localhost:4000/budget/new' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-d '{
"max_budget": 10,
"rpm_limit": 2,
"tpm_limit": 1000
}'
```
**Step 2: Configure the default budget ID**
```yaml showLineNumbers title="config.yaml"
litellm_settings:
max_end_user_budget_id: "budget_id_from_step_1"
```
**Step 3: Test it**
```bash showLineNumbers title="Make request with customer ID"
curl -X POST 'http://localhost:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-d '{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello"}],
"user": "my-customer-id"
}'
```
The customer will be subject to the default budget limits (RPM, TPM, and $ budget). Customers with explicit budgets are unaffected.
### Quick Start
Create / Update a customer with budget
**Create New Customer w/ budget**
```bash showLineNumbers title="Create customer with budget"
curl -X POST 'http://0.0.0.0:4000/customer/new'
-H 'Authorization: Bearer sk-1234'
-H 'Content-Type: application/json'
-d '{
"user_id" : "my-customer-id",
"max_budget": "0", # π CAN BE FLOAT
}'
```
**Test it!**
```bash showLineNumbers title="Test customer budget"
curl -X POST 'http://localhost:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-D '{
"model": "mistral",
"messages": [
{
"role": "user",
"content": "What'\''s the weather like in Boston today?"
}
],
"user": "ishaan-jaff-48"
}
```
### Assign Pricing Tiers
Create and assign customers to pricing tiers.
#### 1. Create a budget
<Tabs>
<TabItem value="ui" label="UI">
- Go to the 'Budgets' tab on the UI.
- Click on '+ Create Budget'.
- Create your pricing tier (e.g. 'my-free-tier' with budget $4). This means each user on this pricing tier will have a max budget of $4.
<Image img={require('../../img/create_budget_modal.png')} />
</TabItem>
<TabItem value="api" label="API">
Use the `/budget/new` endpoint for creating a new budget. [API Reference](https://litellm-api.up.railway.app/#/budget%20management/new_budget_budget_new_post)
```bash showLineNumbers title="Create budget via API"
curl -X POST 'http://localhost:4000/budget/new' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-D '{
"budget_id": "my-free-tier",
"max_budget": 4
}
```
</TabItem>
</Tabs>
#### 2. Assign Budget to Customer
In your application code, assign budget when creating a new customer.
Just use the `budget_id` used when creating the budget. In our example, this is `my-free-tier`.
```bash showLineNumbers title="Assign budget to customer"
curl -X POST 'http://localhost:4000/customer/new' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-D '{
"user_id": "my-customer-id",
"budget_id": "my-free-tier" # π KEY CHANGE
}
```
#### 3. Test it!
<Tabs>
<TabItem value="curl" label="curl">
```bash showLineNumbers title="Test with curl"
curl -X POST 'http://localhost:4000/customer/new' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-D '{
"user_id": "my-customer-id",
"budget_id": "my-free-tier" # π KEY CHANGE
}
```
</TabItem>
<TabItem value="openai" label="OpenAI">
```python showLineNumbers title="Test with OpenAI SDK"
from openai import OpenAI
client = OpenAI(
base_url="<your_proxy_base_url>",
api_key="<your_proxy_key>"
)
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
],
user="my-customer-id"
)
print(completion.choices[0].message)
```
</TabItem>
</Tabs>Attribution
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